bluuebunny/crossref_metadata_2025 huggingface dataset:
Diagnostic Value of Clear Cell Likelihood Score v1.0 and v2.0 for Clear Cell Renal Cell Carcinoma: A Comparative Study
Authors: Hao Yu-wei , Ye Hui-yi , Wang Hai-yi
Published: August 2024

ccLS provides a new tool for the diagnosis and differential diagnosis of solid renal tumors and can be used to assist radiologists in their daily diagnosis. In this study, Six radiologists were trained in the ccLS algorithm and scored independently using ccLS v1.0 and ccLS v2.0, respectively. The results show that although the interobserver agreement between ccLS v1.0 and ccLS v2.0 is comparable, the diagnostic performance of ccLS v2.0 in ccRCC is better than that of ccLS v1.0 and ccLS v2.0 reduces the percentage of ccRCC in 1-3 scores. This finding is helpful to improve the clinical universality of ccLS.
Normative trajectories of quantitative MRI parameters in sub-cortical grey matter on healthy ageing
Authors: Chan Kwok-Shing , Jansen Michelle , Oosterman Joukje , Norris David , Beckmann Christian , Marques José
Published: August 2024

The effects of ageing on quantitative MRI, including R1, R2* and tissue susceptibility, are investigated in subcortical grey matter using a healthy cohort. General Linear Regression analysis indicates that ageing has significant impacts on these quantitative measures: the mean R1 has inverted U-shape appearances with time, while the mean R2* and susceptibility are closer to linear. We further studied the spatial variation in these structures and the results show that the spatial gradient of some structures (e.g. caudate and putamen) also changes with age. Normative trajectories of these parameters in subcortical grey matter associated with ageing are also investigated.
Differences in age trajectories of intracortical myelin across lifespan measured by MTR and T1w/T2w
Authors: Sui Yu Veronica , Flaherty Ryn , Masurkar Arjun , Wisniewski Thomas , Rusinek Henry , Lazar Mariana
Published: August 2024

In a large cohort of healthy participants (N=349, age range 18-90 years), we characterized intracortical myelin lifespan trajectories using two commonly used myelin proxies, magnetization transfer ratio (MTR) and T1w/T2w, combined with a surface-based image processing method. We showed that both measures exhibit an inverted-U shape trajectory for most cortical regions, with T1w/T2w values peaking later than MTR. A smoothed spline fitting of the trajectories allowed further delineation of onset decline age, a potential aging milestone. Frontal and temporal lobe regions showed consistently later peak ages than parietal and sensory motor regions across MRI metrics and curve fitting methods.
White matter changes underlying cortical changes across the lifespan
Authors: Schilling Kurt , Nozais Victor , Rheault Francois , Archer Derek , Li Muwei , Cai Leon , Dell'Acqua Flavio , Gore John , Landman Bennett
Published: August 2024

Brain functions are a property of the interaction between brain areas. While much is known about cortical structure and the structural connections in the white matter, the interaction between the cortex and white matter is underexplored. Here, we aim to investigate and characterize the relationship between white and cortical changes across the lifespan. We use the functionnectome framework to associate white matter to morphological features of the cortex. Biologically, this white matter influences (or is influenced by) these cortical changes.
Deep learning-based acceleration of compressed sensing non-contrast-enhanced coronary MRA in patients with suspected coronary artery disease
Authors: Wu Xi , Sun Jiayu , Zhang Xiaoyong
Published: August 2024

This study aims to investigate the feasibility of a compressed sensing artificial intelligence (CSAI) framework for non-contrast-enhanced coronary MRA. The image quality and the diagnostic performance of CSAI coronary MRA in patients with suspected CAD were fully evaluated using coronary computed tomography angiography (CTA) as the non-invasive clinical reference standard. The results shows that all recruited patients completed coronary MRA with high image quality and diagnostic performance within short scan time. Therefore, we conclude that the CASI coronary MRA could be a robust and safe non-invasive alternative for excluding significant disease in patients with suspected CAD.
AI-based Single-Click Cardiac MRI Exam: Initial Clinical Experience and Evaluation in 44 Patients
Authors: Wetzl Jens , Yoon Seung Su , Schmidt Michaela , Haenel Alexander , Weißgerber Alexandra-Bianca , Barkhausen Jörg , Frydrychowicz Alex
Published: August 2024

We propose an Artificial Intelligence-based single-click cardiac MR exam to support technicians and increase standardization and repeatability of cardiac exams, which we evaluate in a clinical setting with 44 patients. Automations include setting of the isocenter position, slice planning in standard and cardiac orientations, adjustment volume and inversion time. Clinical sequences that can be acquired without manual planning include CINE, STIR, T1 mapping, 3D MRA and LGE. 91% (n=40) of the acquisitions could be completed without manual operator intervention, with the majority (n=3) of failed cases caused by abnormal heart geometries leading to inadequate slice planning.
Stability of Elevated Wall Shear Stress in Patients with Bicuspid Aortic Valve: Insights from a Multi-Year 4D Flow MRI Follow-Up Study
Authors: Maroun Anthony , Scott Michael , Berhane Haben , Baraboo Justin , Jarvis Kelly , Allen Bradley , Barker Alex , Markl Michael
Published: August 2024

4D Flow MRI can identify aortic regions exposed to high wall shear stress (WSS) compared to age and sex-matched controls. This concept, known as WSS ‘heatmaps’, has recently shown potential to improve risk stratification in patients with bicuspid aortic valve (BAV). We examined the reproducibility of heatmaps in a cohort of 20 stable BAV patients with five consecutive 4D flow MRI scans and found no significant change over time. In addition, we found high reproducibility of WSS patterns and regions of elevated WSS across scans. Our findings, therefore, suggest that heatmaps can serve as a robust BAV risk measure.
Factors Affecting Outcomes in Nonischemic Dilated Cardiomyopathy: Development and Validation of a CMR-Based Nomogram
Authors: Xiang Xiaorui , Lin Xiaoqiang , Zhao Shihua
Published: August 2024

Risk evaluation for patients with NIDCM remains an important public health challenging, and new techniques and strategies are expected to be used to prevent cardiac death. This study was designed to develop and validate a novel nomogram score to predict outcomes in patients with NIDCM over a long follow-up time period.
Comparison of Image Quality and ADC Measurement between DWIs with and without Reverse Encoding Distortion Correction in Head and Neck Tumors
Authors: Ikeda Hirotaka , Ohno Yoshiharu , Yamamoto Kaori , Shinohara Maiko , Ikedo Masato , Yui Masao , Iwase Akiyoshi , Furuta Minami , Obama Yuki , Nagata Hiroyuki , Ueda Takahiro , Ozawa Yoshiyuki , Toyama Hiroshi
Published: August 2024

We hypothesize that RDC is useful for image quality and diagnostic performance improvements on DWI with b value at 1500 s/mm2 in suspected prostatic cancer patients, although there was little influence of RDC on DWI at in vitro study. The purpose of this study was to determine the influence of RDC for ADC measurement at in vitro study and its’ utility for improving image quality and diagnostic performance of malignant from benign head and neck tumors on DWI as in vivo study.
Evaluation of reverse encoding distortion correction DWI in patients with non-functioning pituitary macroadenoma
Authors: Ito Shuichi , Okuchi Sachi , Fushimi Yasutaka , Miyake Kanae , Fujimoto Koji , Numamoto Hitomi , Nakajima Satoshi , Sakata Akihiko , Hinoda Takuya , Otani Sayo , Sakurama Azusa , Wicaksono Krishna , Tagawa Hiroshi , Wang Yang , Ikeda Satoshi , Takiya Miyuki , Kondo Hiroki , Imai Rimika , Saga Tsuneo , Nakamoto Yuji
Published: August 2024

Reverse encoding distortion correction diffusion-weighted imaging (RDC-DWI) is a novel on-console technique to reduce eddy current-induced distortion of motion probing gradient (MPG) images in addition to B0 field inhomogeneity. We compared RDC-DWI, B0-corrected-DWI, and original DWI in patients with unoperated non-functioning macroadenoma or residual pituitary macroadenoma after surgery. RDC-DWI had the best image quality regarding distortion, artifacts and overall tumor visualization, which suggested that RDC-DWI facilitates accurate visualization in the pituitary region on DWI.
Apparent diffusion coefficient histogram analysis of adenoid cystic carcinoma: correlation with histopathology and the prediction of survival
Authors: WEIQING TANG , YANG SONG , YUAN YING , XIAOFENG TAO
Published: August 2024

The aim of this retrospective study is to explore the value of histogram analysis of apparent diffusion coefficient (ADC) values for distinguishing different subtypes of adenoid cystic carcinoma (ACC) and prediction of survival. Receiver operating characteristic curve analysis was used to determine the best differentiating parameters. The ADC_10th percentile values achieved highest diagnostic efficacy with an AUC of 0.821. The multivariable Cox proportional hazards model found that radiomic signature and tumor stage were significant predictors in ACC patients. Histogram analysis of ADC values may be helpful for differentiating the subtypes of ACC, leading to improved targeted treatment and reduced morbidity.
Identifiy geniculate ganglion venous malformation from geniculate ganglion schwannoma using dynamic contrast-enhanced MRI
Authors: Jiang Mengda , Chai Yongchuan , Song Yang , Tao Xiaofeng
Published: August 2024

To evaluate the CT and MRI findings to identify geniculate ganglion venous malformation (GGVM) and geniculate ganglion schwannoma (GGS). Clinical data, lesion size, involvement of facial nerve (FN) segment, signal intensity, homogeneity, the enhancement pattern on DCE-MRI, characteristics of bone destruction on HRCT were evaluated. Lesion size, involvement of FN segment, T1W and T2W intensity, and homogeneity on DCE-MRI were statistically different between them. For regression model, the “honeycomb” sign and “point-to-side” enhancement pattern were independent risk factor (AUC=0.975, accuracy=97.70%, sensitivity=95%, specificity=100%, PPV=100%, NPV=95.80%).
Decoding the phase-cycled bSSFP signal for maximized parameter quantification - T1, T2, proton density and magnetic field inhomogeneity
Authors: Plähn Nils , Mackowiak Adèle , Açikgöz Berk , Peper Eva , Rossi Giulia , Bastiaansen Jessica
Published: August 2024

A novel analytical method for off-resonance encoded parameter quantification of voxel-wise phase-cycled bSSFP signal profiles was developed. The approach conserves both magnitude and phase information in a complete, linearized, and compact way. A framework for ultra-rapid and simultaneous $$$T_1$$$, $$$T_2$$$, $$$B_0$$$ inhomogeneity and proton density quantification were developed. The approach was validated in simulations, phantom and in vivo knee experiments and compared with gold-standard reference measurements when available. Simulations and experiments validated the proposed method for multi-parameter quantification with high accuracy and precision, providing the first step towards novel analytical quantification possibilities with phase-cycled bSSFP.
In-vivo parcellation of human subcortex by diffusion and anatomical MRI
Authors: Ali Tonima , Lv Jinglei , Dalton Marshall , Kassem Steve , D'Souza Arkiev , Calamante Fernando
Published: August 2024

We integrated the information from structural and diffusion MRI from a group of healthy subjects, to develop a data-driven parcellation of the human subcortex. We first identified the data features that are sensitive to the micro-architectural variabilities within subcortex and then segregated specialised sub-regions with discernible properties. Our parcellated sub-regions demonstrated remarkable similarities to known nuclei and sub-structures within striatum, globus pallidus, and thalamus. Our parcellation has also identified regions which are known to have distinct anatomical and functional properties but that are yet to be explicitly added to extant human brain atlases.
A Rapid, Whole-brain Quantification of T1 Relaxation Time Using Submillimetre Inversion-recovery EPI at 7T
Authors: Yun Seong Dae , Shah N. Jon
Published: August 2024

Knowledge of T1 relaxation time is of great interest for clinical diagnosis or MRI sequence optimisation. For the quantitative measurement of T1, the inversion-recovery method is widely used due to its relatively good accuracy or tolerance to B1 inhomogeneity. However, 2D multi-slice- or 3D segmentation-based readout methods often preclude the effect of different signal recovery modulation depending on slice locations. Therefore, this work presents a single-slice-based inversion-recovery 2D EPI method, combined with TR-external EPI phase correction at 7T, to provide rapid, whole-brain T1 mapping with a voxel size of 0.73 × 0.73 mm2.
Simultaneous T1 and T2 relaxometry of the human brain at 7T using Quantitative Transient-state Imaging
Authors: Cencini Matteo , Schulte Rolf , Lancione Marta , Pirkl Carolin , Biagi Laura , Donatelli Graziella , Tosetti Michela
Published: August 2024

Fast quantitative MR methods enable repeatable and reproducible assessment of tissue properties improving diagnosis and follow-up. Here, we implemented two different 3D relaxometry methods based on quantitative transient-state imaging (QTI) for fast T1 and T2 mapping of the human brain at 7T. The two techniques were demonstrated both in-vitro and in-vivo and provided good quality parametric maps with low geometric distortion and blurring in clinically feasible acquisition and reconstruction times.
Elevated Metabolic-functional Coupling in Epileptogenic Lesion and Network are Related with Surgical Outcomes of Mesial Temporal Lobe Epilepsy
Authors: Yuan Siyu , Huang Hui , Zhang Miao , Liu Wei , Li Jiwei , Cai Bingyang , Cui Ya , Luo Jie
Published: August 2024

It has been unclear whether metabolic-functional coupling could be disturbed in epileptogenic lesion and network by epileptic activities. In this study, we investigated metabolic changes, functional alterations and their couplings in epileptogenic lesion and network of mesial temporal lobe epilepsy (MTLE) using simultaneous PET/MR, and further evaluated the relationship between altered couplings and surgical outcome. MTLE patients showed abnormalities of standardized uptake value ratio (SUVR) and fractional amplitude of low-frequency fluctuation (fALFF) in default mode network (DMN). MTLE patients with hippocampal sclerosis (MR-HS) had higher SUVR-fALFF coupling in ipsilateral hippocampus and DMN, and the couplings were associated with surgical outcomes.
Non-rigid guided affine image registration in multi-contrast brain MRI using deep networks with stochastic depth
Authors: Venkata Srivathsa Pasumarthi , Chamberlain Ryan
Published: August 2024

Deep learning based affine registration is a fast and computationally efficient alternative to conventional iterative methods. However, existing solutions are not sensitive to local misalignments. We propose a non-rigid guided affine registration network with stochastic depth which was designed with an affine branch and an optional non-rigid branch. The probability of dropping the non-rigid branch was gradually increased over training epochs. During inference, the non-rigid branch was fully removed, thus making it a pure affine network guided by non-rigid transformations. Model training and quantitative evaluation was performed using a pre-registered multi-contrast brain MRI public dataset.
Enzyme Delivery to the Putamen in Parkinson’s Disease Patients by MR-Guided Focused Ultrasound
Authors: Huang Yuexi , Meng Ying , Pople Christopher , Bethune Allison , Jones Ryan , Abrahao Agessandro , Hamani Clement , Kalia Suneil , Kalia Lorraine , Lipsman Nir , Hynynen Kullervo
Published: August 2024

The phase I clinical trial demonstrated the successful application of microbubble-assisted MR-guided Focused Ultrasound for blood-brain barrier (BBB) opening in the putamen to facilitate biweekly therapeutic drug delivery in patients with Parkinson's disease. BBB permeability within the targeted putamen was elevated successfully in all treatments, as revealed by Gd-enhanced T1-weighted MRI immediately post treatment. No contrast enhancement was observed in the treated putamen on MR imaging scans acquired one day following each treatment session, indicating closure of the BBB. FDG-PET revealed a reduction of glucose metabolism of the treated putamen relative to the contralateral putamen in all patients.
Improved Visualization of the Medial Medullary Lamina with Phase Prior Reconstruction in Quantitative Susceptibility Mapping
Authors: Roberts Alexandra , Kovanlikaya Ilhami , Koppel Brian , Spincemaille Pascal , Nguyen Thanh , Wang Yi
Published: August 2024

Morphology Enabled Dipole Inversion (MEDI) is an iterative reconstruction algorithm for Quantitative Susceptibility Mapping (QSM) that is effective in suppressing artifacts by exploiting the magnitude image as a morphological prior. Use of a phase prior such as the local field to determine the $$$L_1$$$ regularization term results in improved visualization of the medial medullary lamina as measured by the contrast-to-noise ratio and was preferred by a radiologist over the magnitude prior in each case.
Multiparametric qMRI and dMRI gradients in the striatum are associated with Parkinson’s disease motor dysfunction
Authors: Drori Elior , Cohen Lee , Kohn Einat , Arkadir David , Yahalom Gilad , Mezer Aviv
Published: August 2024

Parkinson’s disease (PD) is associated with degeneration in the striatum, a deep brain structure. It was recently shown with clinical MRI that in vivo gradients in the striatum of PD patients are related to the early-stage symptoms and pathology. However, the spatial variation in quantitative biophysical properties in PD is still unknown. Here, we collected multiparametric quantitative MRI of PD patients. We reveal distinct spatial profiles in the striatum that corroborate previous findings and show a relationship between putamen water fraction and motor behavior. Thus, our study provides new insights for the biological mechanisms associated with PD behavior.
Neuromelanin MRI using 2D GRE and deep learning: considerations for improving the visualization of substantia nigra and locus coeruleus
Authors: Seada Samy Abo , van der Eerden Anke , Boon Agnita , Hernandez-Tamames Juan
Published: August 2024

An optimized clinically feasible neuromelanin MRI imaging protocol for visualising the SN and LC simultaneously using deep learning reconstruction is presented. For a 2D sequence we set out to optimize the flip-angle for optimal combined SN and LC depiction. We also experimented with combinations of anisotropic and isotropic in-plane resolution, partial vs full echoes and the number of averages. Phantom and in-vivo experiments on three healthy volunteers illustrate that high-resolution imaging combined with deep-learning denoising shows good depiction of the SN and LC with a clinically feasible sequence of 7 minutes.
Double-echo Oxygen Enhanced MRI at 1.5 T correlates with clinical lung function in CF patients
Authors: Tibiletti Marta , Short Christopher , Naish Josephine , Abkir Mary , Semple Thomas , Padley Simon , Davies Jane , Parker Geoff
Published: August 2024

This study presents the first results from a population with cystic fibrosis (CF) of a novel, easy-to-implement, multi-slice, free breathing OE-MRI acquisition method based on measuring R2* changes in the lung with varying level of oxygen delivered to the patients. The oxygen ventilated volume fraction obtained presents a very good correlation with lung clearance index (LCI) obtained by multiple breath N2 washout. LCI is a marker of overall lung ventilation inhomogeneity, which has been shown to be a sensitive marker of lung disease severity in CF, particularly in the early stage of the disease when spirometry outcomes are normal.
Whole-brain 3D B1+ mapping in under 30 seconds: compressed-sensing accelerated SA2RAGE
Authors: Bonanno Gabriele , Hilbert Tom , Liebig Patrick , Marques José , Kober Tobias
Published: August 2024

To fully exploit the strengths of UHF imaging, accurate B1+ mapping is essential, ideally in 3D with sufficient coverage and high dynamic range. However, resulting scan times on the order of minutes are problematic, especially with the prospect of increased clinical use of 7T imaging. We implemented a compressed sensing readout and reconstruction for the SA2RAGE technique yielding <30 s scan time for a whole-brain, 4-mm isotropic resolution B1+ map. We tested different acceleration factors, validated against the GRAPPA-accelerated reference protocol of ~2 min and found <0.05 relative B1+ difference in most regions of the brain.
Diabetic Treatment and Oral Ketone Supplement effect on Cardiac Function and Metabolism in Heart Failure Model by Cardiac and hyperpolarized MRSI
Authors: Bedoya David Guarin , Yurista Salva , Witthier Jonah Weigan , Chen Shi , Eder Robert , Jiang William , Liu Feiyang , Takahashi Atsushi , Nguyen Christopher , Yen Yi-Fen
Published: August 2024

Using hyperpolarized [1-13C]pyruvate MR spectroscopy imaging and cine MRI, we show that targeting cardiometabolic dysregulation with metabolic treatment, such as ketone ester supplementation and/or sodium–glucose cotransporter 2 inhibitor, was effective in improving cardiac function and ameliorating cardiac remodeling in a preclinical model of HFpEF. These results provide a rationale for the assessment of metabolic interventions for patients with HFpEF.
A Multi-Nuclear MRI/MRS Study Exploring the Impact of a Novel Cardiac Mitotrope in the Treatment of Diabetic Cardiomyopathy
Authors: Tyler Damian , Hundertmark Moritz , Siu Adrienne , Matthews Violet , Lewis Andrew , Grist James , Patel Jai , Chamberlin Paul , Sarwar Rizwan , Yavari Arash , Dehbi Hakim-Moulay , Frenneaux Michael , Valkovič Ladislav , Miller Jack , Neubauer Stefan , Rider Oliver
Published: August 2024

Patients with Type 2 Diabetes (T2D) are at a significantly increased risk of heart failure (HF) with the development of HF driven by energetic, metabolic, structural, and functional cardiac changes. In this study we have used a multi-nuclear MRI/MRS approach to demonstrate that the novel metabolic modulator, ninerafaxstat, can significantly improve myocardial energetics, cardiac steatosis and diastolic function in patients with T2D and obesity. In addition, using cardiac hyperpolarized [1-13C]pyruvate MRS, we have identified a potential signal for increased pyruvate dehydrogenase flux upon treatment with ninerafaxstat.
Flexural Rigidity of THAs is Associated with MRI and Histological findings
Authors: Sacher Sara , Padgett Elexis , Neri John , Wright Timothy , Bauer Thomas , Parides Michael , Padgett Douglas , Potter Hollis , Koff Matthew
Published: August 2024

Micromotion at interfaces in modular total hip arthroplasties (THAs) induces corrosion and generation of adverse local tissue reactions (ALTRs), potentially leading to premature failure. The flexural rigidities (FR) of THA femoral stem trunnions retrieved from revision surgery were correlated with MRI metrics and histopathological outcomes. Increased FR was associated with osteolysis and a reduced synovial response, while a lower FR was associated with granulomas, different synovitis types, and tissue necrosis. These results indicate that MRI can serve as a useful biomarker of the local tissue response around THA.
Diagnostic performance of Rapid Whole-body MRI with uniformly fat-suppressed T2-weighted imaging for multiple myeloma
Authors: van der Heijden Rianne , Schmidt Timothy , Reeder Scott , Pirasteh Ali
Published: August 2024

In this study we evaluated the diagnostic performance of whole-body T2-weighted imaging with uniform 2-point Dixon fat-suppression for the detection of multiple myeloma. Furthermore, we evaluated the added sensitivity, change in disease stage, and change in treatment plan with the sequential addition of DWI and FDG PET. T2-Dixon demonstrated higher sensitivity than both DWI and PET. Adding DWI did not change stage or treatment plan. However, the addition of PET did change the treatment plan in one patient with extra-osseous disease. Whole-body PET-MRI with T2-Dixon is a promising and efficient tool for assessment of multiple myeloma.
Intelligent automatic slice prescription of scout scans of MSK MRI imaging using surface coil sensitivities
Authors: Manickam Kavitha , Shao Muhan , Gui Dawei , Bhushan Chitresh , Shanbhag Dattesh
Published: August 2024

Large-FOV, low-resolution 3D surface coil sensitivities maps are acquired as part of pre-scan which is typically used to calibrate the hardware of MRI system. In this abstract, we propose to use the coil sensitivity maps to automatically find the region of interest of spine anatomy. This information can be used to position the scout images accurately and automatically and thereby reduce any repeat of the scout scans and increase throughput. Our proposal does not need any additional scan and utilizes the existing information available in the MRI scanner.
Whole-Body Diffusion-weighted MRI, non-diffusion MRI, and PET-CT in detection of Spinal Lesions in Multiple Myeloma Patients
Authors: Ye Kai , Yuan Huishu , Zhang Weifang , Zhang Xianchang , Zhang Lihua
Published: August 2024

This study investigated the performance of whole-body diffusion-weighted imaging (WBDWI), non-diffusion MRI, and 18F-FDG PET-CT in detecting spinal lesions in patients with an initial diagnosis of multiple myeloma (MM). The results showed that WBDWI discovered more lesions compared with both non-diffusion MRI and 18F-PET-CT. And the detection of spinal lesions in WBDWI was not significantly decreased even with the decreased degree of marrow infiltration in patients with MM. This suggests that WBDWI should be the preferentially recommended examination for patients with an initial diagnosis of MM.
An initial evaluation of image quality for double knee imaging with air coil as compared with traditional knee coils
Authors: Han Chao , Zhang Feifei , Tian Chengbin , Kang Wenwen , Yu Weimin , Guo Jinxia
Published: August 2024

This study investigated the feasibility and potential advantages of adaptive imaging receiver (AIR) coil for knee imaging. The results show that the SNR and CNR of air coil images were inferior to that of traditional knee coil, but the visual image qualities were comparable between two coils. The air coil can be feasible for knee imaging, especially for patients with large size and double knee imaging.
TOTAL WHITE MATTER PERIVASCULAR SPACE VOLUME: AN EARLY MARKER FOR DUTCH-TYPE CEREBRAL AMYLOID ANGIOPATHY
Authors: Schipper Manon , Razoux-Schultz Arie-Tjerk , van Harten Thijs , van der Grond Jeroen , van Buchem Mark , Greenberg Steven , Wermer Marieke , van Osch Matthias , van Walderveen Marianne , van Rooden Sanneke
Published: August 2024

In this study we semi-automatically quantified MRI-visible perivascular space volume in the white matter (WM-PVS) and compared these volumes between (pre-)symptomatic Dutch-type hereditary Cerebral Amyloid Angiopathy (D-CAA) and matched controls. Main findings show that the WM-PVS volume was significantly higher in symptomatic D-CAA (median=19.9mL) compared with both presymptomatic D-CAA (median=3.5mL; U=19, p=.01) and matched controls (median=4.9mL; U=1, p<.001). Presymptomatic D-CAA carriers had a higher WM-PVS volume than the matched controls (median=2.3mL; U=27, p=.02). This indicates that WM-PVS volume, in contrast to the PVS-CSO visual rating scales, may be an early marker for D-CAA.
Blockage of CSF Outflow via Nasal Lymphatic Pathway in Rats after Deep Cervical Lymph Node Ligation Observed Using Intrathecal Gd-based MR Imaging
Authors: Kinota Naoya , Kameda Hiroyuki , Minowa Kazuyuki , Kudo Kohsuke
Published: August 2024

Previous reports showed that deep cervical lymph nodes (DCLNs) receive cerebrospinal fluid (CSF) outflow. DCLN ligation resulted in intracranial accumulation of waste proteins due to impaired CSF outflow; however, changes in extracranial outflow after DCLN ligation have not been directly observed. We examined extracranial CSF outflow in rats after DCLN ligation by using intrathecal gadolinium (Gd)-based dynamic contrast-enhanced MRI. DCLN ligation blocked CSF- tracer outflow into the nasal cavity. A weak trend towards CSF-tracer retention in the ventral cistern was also observed. These results suggest that DCLN ligation affects CSF outflow in rodents.
The impact of infusion rate on Gd-DTPA transport in the glymphatic system in mouse brain
Authors: Zhu Yuran , Wang Guanhua , Kim Kihwan , Flask Chris , Yu Xin
Published: August 2024

This study evaluated the impact of infusion rate on tracer transport in mouse glymphatic system. Gd-DTPA was administered via cisterna magna at a rate either comparable to the CSF production rate in mouse brain (0.33 μL/min) or three-fold higher (1 μL/min). The kinetics and distribution of Gd-DTPA were assessed by DCE-MRI for 2 hours. Our results show a significantly increased transport along the dorsal brain regions and penetration into the deep brain regions at a slow infusion rate, suggesting that the infusion rate may alter the pressure gradient and affect tracer transport and distribution in the brain.
Delta-Radiomic Based on Dynamic Contrast Enhanced MRI Predicts axillary Response after neoadjuvant chemotherapy in breast cancer patients
Authors: Liu Shasha , DU Siyao , Gao Si , Xie Lizhi , Teng Yuee , Jin Feng , Zhang Lina
Published: August 2024

This prospective study with multiple follow-up time points investigated the early predictive value of the delta-radiomic model of axillary lymph node (ALN) using dynamic contrast-enhanced (DCE) MRI for axillary pathological complete response (pCR) in breast cancer patients after neoadjuvant chemotherapy (NAC). The results indicated that the delta-radiomic model based on early changes of ALN features performed better among all radiomic models. Moreover, when combined with clinical features, the combined model achieved the best diagnostic performance of any model we tested. The delta-radiomic + clinical model may be a promising method for ALN pCR prediction in the initial phase of NAC.
Deep Learning Strategy to Quantify Whole Prostate and Zonal Volumes, Trends in Aging and Detection of Benign Prostatic Hyperplasia
Authors: Khaghani Javad , Porto Lucas , Garg Saurabh , Basar Saqib , Chodakiewitz Yosef , London Sean , Attariwal Rajpaul , Hashemi Sam
Published: August 2024

AI-assisted prostate whole-gland and zonal volume quantification enable quantitative reproducibility and enhance read-time efficiency. Our whole-gland AI-segmentation solution enhanced measurement accuracy by 23.59%, compared with traditional volume estimates. Zonal solution enabled us to generate population normative aging-curves and we used a shallow classifier to identify patients with BPH. Our findings show the transitional zone grows 2.05 ml and 3.58 ml per decade for the entire population and patients with BPH, respectively, while peripheral zone grows 0.70 ml per decade. Further, the transitional and peripheral zones grow 2.43 and 1.4 times their size over lifetime.
Multi-task deep learning with triplet uncertainty for segmentation and microvascular invasion prediction of hepatocellular carcinoma
Authors: Xie Yanyan , Li shangxuan , Liu Baoer , Xu Yikai , Zhou Wu
Published: August 2024

Multi-task learning has been widely used for jointly tumor segmentation and classification. Uncertainty estimation of the subtask weight coefficient in multi-task learning has been investigated. However, due to the presence of noise in medical image, data uncertainty will affect the performance of multi-task learning. In addition, model uncertainty has not been conducted for multi-task learning. In this work, we propose a triplet-uncertainty in multi-task deep learning network (TU-MTL), simultaneously considering the uncertainty estimation of subtask weight coefficient, data uncertainty estimation and model uncertainty estimation. Experimental results of clinical hepatocellular carcinoma (HCC) demonstrate the effectiveness of the proposed method.
Development and validation of an MRI-based radiomics nomogram for evaluation of chronic outcome in drug-induced liver injury
Authors: Shen Zhehan , Li Ruokun , Yan Fuhua
Published: August 2024

Drug-induced liver injury (DILI) occurs in a small fraction of individuals exposed to drugs, herbs or dietary supplements. DILI is challenging because of the lack of biomarkers to predict chronic outcomes. In our study, we developed a radiomics model with excellent performance for prediction of chronic outcome based on MRI and clinical data. Decision curve analysis confirmed the clinical utility of the radiomics model. This model may be used to stratify DILI patients at high risk of chronic outcome.
The effect of cardiac gating on the repeatability of quantitative renal diffusion MRI
Authors: Gilani Nima , Mikheev Artem , Brinkmann Inge , Basukala Dibash , Benkert Thomas , Kumbella Malika , Babb James , Chandarana Hersh , Sigmund Eric
Published: August 2024

The effect of cardiac gating on quantitative diffusion weighted magnetic resonance imaging of the kidney was investigated using an advanced cardiac triggered diffusion-weighted imaging sequence which allows the acquisition and estimation of diffusion tensor imaging and intra-voxel incoherent motion parameters. Cardiac gating significantly influences the repeatability of IVIM parameters that reflect flow of blood and fluids in the kidney and allow interpretations of renal function.
Models based on diffusion-weighted imaging in tumor staging and histologic grading of bladder cancer: A comparison study
Authors: You Cong , Zhao Yujiao , Zhang Cheng , Chen Mengyao , Zhu Jinxia , Qu Feifei , Benkert Thomas , Grimm Robert , Shen Wen
Published: August 2024

This comparative study aimed to investigate the ability of Gaussian distribution models, including monoexponential model (MEM) and intravoxel incoherence motion (IVIM), and non-Gaussian diffusion kurtosis models to differentiate the pathologic stages and histologic grades of bladder cancer. The results indicated that the diffusion kurtosis imaging (DKI) parameters had the highest diagnostic performance. The mean kurtosis (MK) value among individual parameters and the combination of MK and mean diffusivity (MD) among combined values had the largest area under the curves. Also, the MK values were most strongly correlated with the Ki-67 labeling index.
Automatic segmentations for carotid vessel lumen and wall with arterial calcifications using spatially registered black- and gray-blood images
Authors: Li Bo
Published: August 2024

We investigated automatic segmentations for the carotid vessel lumen and wall with the presence of arterial calcifications using spatially registered black- and gray-blood images. CS-siBLAG sequence was used to provide black- and gray-blood images. A K-means algorithm was employed to segment carotid artery lumen on black-blood images and calcifications on gray-blood images. A distance transform and an active contours model was used to segment the vessel wall. This method improves lumen segmentation, since it avoids the over-segmentation of vessel lumen by means of subtracting calcifications obtained on gray-blood images from the vessel lumen segmentation obtained on black-blood images.
The risk prediction of ischemic stroke recurrence: a MR vessel wall imaging study
Authors: Zhou Fei , Wang Maoxue , Xin Ruijing , Yang Tianshu , Dai Yongming , Zhang Na , Hu Zhanli , Zhang Xin , Zhang Bing
Published: August 2024

Symptomatic cerebral vascular stenosis diseases include acute ischemic infarction and transient ischemic syndrome. Patients with these diseases often have a high risk of recurrence in the short term, which may have serious adverse consequences. High-resolution MR vessel wall imaging (HR-VWI) technique has provided new possibilities to assess the threat of stroke recurrence due to stenosis caused by intracranial plaque. The present study confirms that plaque morphological parameters obtained by HR-VWI can provide an effective prediction of stroke recurrence risk in patients with intracranial arterial stenosis.
Imaging Ascending Aortic Wall Stretch Using Breath-Held Displacement Encoding with Stimulated Echoes MRI: An Intra-scan Reproducibility Study
Authors: Dong Huiming , Leach Joseph , Zhou Ang , Ballweber Megan , Epstein Frederick , Ge Laing , Tseng Elaine , Saloner David , Mitsouras Dimitrios
Published: August 2024

In vivo assessment of the mechanical properties of the aorta stands to offer valuable information to evaluate and predict the progression of cardiovascular diseases. Displacement encoding with stimulated echoes (DENSE) is a non-invasive phase-contrast MRI technique that has been adapted to measure ascending aortic wall stretch. Previous studies utilizing long respiratory-gated acquisitions are prone to artifacts from residual cardiac or respiratory motion. In this study, we investigated the reproducibility of a novel breath-held aortic DENSE imaging protocol. The proposed breath-held protocol was highly reproducible (COV=3.27% and LCCC=0.97). Finally, the measured aortic stretch followed the expected relationship with age.
Usefulness of Combined Evaluations of Coronary Calcification and Peripheral Nonenhanced MRA for the Risk Assessment of Future Vascular Events
Authors: Yoshida Seigo , Nakamura Katsumi , Yamamoto Akiyoshi , Akashi Hidetoshi , Imamura Tetsuo
Published: August 2024

Feasibility of a combined evaluation of coronary artery calcification by plain CT and severity of PAD assessed by nonenhanced MRA was evaluated for predicting the risk of future cerebrovascular and cardiovascular events. The result showed patients who had coronary calcium score of 1000 or higher and more advanced PAD were associated with 67% more subsequent cerebrovascular and cardiovascular events. The possibility of assessing these events in a noninvasive manner has been demonstrated, and early intervention may lead to improved patient outcomes.
Three-dimensional Black-blood Thrombus Imaging (BTI) with LIBRE Fat suppression for the diagnosis of Deep Vein Thrombosis
Authors: Liu Zeping , He Zehe , Xie Guoxi , Liao Liping , Tan Mingxia , Ruan Qizeng , Huang Lanbin , Li Qingchun , Nie Yuhui , Gu Anyan , Zhang Zhuoneng , Sun Yi
Published: August 2024

Deep vein thrombosis (DVT) can lead to life-threatening pulmonary embolism. Black-blood thrombus imaging (BTI) technique can accurately identify DVT and provide additional information for thrombus staging. However, non-uniform fat suppression of BTI with conventional fat saturation preparation is obvious due to the field inhomogeneities and large field of view (FOV) imaging, which can affect the accuracy of detecting and staging of thrombus. To address this issue, a field inhomogeneity insensitive BTI technique was developed by incorporating LIBRE pulses for fat free and large FOV thrombus imaging.
Association Between Epicardial Adipose Tissue volume and Microvascular Obstruction with ST-segment elevation myocardial infarction Patients
Authors: Mu Dan , Yue Xiuzheng , Zhao Xiance
Published: August 2024

Epicardial adipose tissue (EAT) is a novel factor for risk stratification of coronary artery disease. EAT in microvascular obstruction formation in patients with ST-segment elevation myocardial infarction (STEMI) remain unclear. This study aimed to evaluate the correlation between EAT and MVO volume detected by CMR on a clinical 1.5T CMR system with a 28-channel coil array in STEMI patients.
Depression symptoms in Parkinson's disease correlate with amygdala subregions atrophy
Authors: Qu Mingrui , Gao Bingbing , Jiang Yuhan , Li Yuan , Xie Lizhi , Miao Yanwei
Published: August 2024

Depression is the most frequent psychiatric disorder in Parkinson's disease (PD). Amygdala pathology has been suggested to contribute to some clinical features of PD, including deficits of olfaction and mood disorders. We aimed to more accurately measure alterations in the volume of each amygdala nucleus in Parkinson's disease with depression (DPD) patients. Then the volume of each specific amygdala nucleus would be associated with the severity of depressive symptoms. This study showed that DPD patients had multiple amygdala subregions atrophy. The bilateral lateral amygdala and left accessory basal nucleus were negatively correlated with the severity of depression in DPD patients.
Study of mouse models of lesion by using a multi technique approach.
Authors: Maugeri Laura , Nicaise Charles , Jankovski Aleksandar , Malucelli Emil , DiNuzzo Mauro , Cedola Alessia , Giove Federico , Fratini Michela
Published: August 2024

Innovative biomarkers as well as new modalities to integrate structural information at higher level should be tuned up in order to understand the mechanisms underlying the pathology evolution. Here, we show some results obtained by integrating morphological information from X-ray phase contrast microtomography with histology combined with immunohistochemistry. Thanks to this approach, we demonstrated the possibility to use the cell number variation as a biomarker for pathological conditions.
CT-Guided Cervical Spinal Cord and Nerve Root Adhesiolysis for Intractable Hiccup:Based on the evidence of 3.0 T magnetic resonance neuroimaging
Authors: MaoJiang YANG , JianHao Liu , Bhetuwal ANUP , Xian QIONG , HanWen ZHANG , HanFeng YANG , Meining Chen , XiaoXue XU
Published: August 2024

The preoperative neuroimaging examination can clearly reflect the abnormalities of cervical intervertebral disc, cervical plexus and brachial plexus, help us understand the potential pathogenesis of intractable hiccup, and improve the efficacy.
Arterial spin labeling MRI can predict prognosis of patients with newly-diagnosed primary CNS lymphoma
Authors: Wu Hao , Yao Zhenwei , Chen Bobin , Kang Hui , Sun Huaping , Ren Yan , Chu Shuguang , Lu Na , Zhao Xianjing , Wu Jie , Ma Yan , Yuan Yan , Ding Tianling , Lin Zhiguang , Ma Jingjing , Li Qing , Zhou Xianjin , Zhu Yiqian , Xu Tianyong , Zhang Yong
Published: August 2024

PCNSL is a heterogeneous and aggressive non-Hodgkin lymphoma with poor prognosis. The present study revealed that 3D-ASL MR perfusion imaging-derived rCBF values pre- and posttreatment can be used as predictors for patients with newly diagnosed PCNSL. Furthermore, this is the first study identifying rCBFmean as an independent predictor for overall survival. Different from the traditional prognostic scoring system, the study provided a noninvasive MRI technique that requires no contrast agent or radiation exposure. Inclusion of the 3D-ASL sequence in routine MRI protocols is highly recommended to help to optimize individualized treatment and improve prognosis.
Automatic bundle-specific white matter fiber tracking tool for language related glioma resection
Authors: Yuan Yifan , Chong Shin Tai , Hsu Sanford Pin-Chuan , Chu Ying-Hua , Hsu Yi-Cheng , Ko Yu-Ting , Kuo Kuan-Tsen , Lin Ching-Po , Song Jianping
Published: August 2024

Novel fiber tracking technology, based on diffusion imaging, can objectively reveal and visualize three-dimensional white matter tracts; through the cooperation of intraoperative navigation, it can help achieve maximum resection under the premise of ensuring function. We used an in-house developed software (DiffusionGo) specially designed for neurosurgeons. The fiber tracking result using DiffusionGo showed robust consistency with the surgical findings. We believe that this fully automatic processing pipeline provides the neurosurgeon with a solution that may reduce time costs and operating errors and improve care and surgical procedure quality across different neurosurgical centers.
Optimized Extremity Coil System for Gradient-Free Low-Field MRI using the Bloch-Siegert Shift for RF Spatial Encoding
Authors: Srinivas Sai Abitha , Vaughn Christopher , Martin Jonathan , Grissom William
Published: August 2024

Traditional B0 gradients have several drawbacks including high acoustic noise, PNS, bulkiness, and high cost. To address this, we present a coil system for Bloch-Siegert (BS) RF encoding comprising an optimized square root solenoid with a bucking coil for high efficiency encoding and a nested uniform saddle coil for the imaging Tx/Rx coil at 47.5mT (2MHz), a field strength that is especially attractive due to its low SAR and accessibility. The coil designed for in-vivo imaging was evaluated in simulation including SAR measurements and experimentally on a resolution phantom using a 3D BS phase-encoded imaging and optimized ‘U’ shaped pulses.
High-performance, Shielding-free MSK Imaging at 100mT Enabled by Retrospective Active EMI Cancellation
Authors: Spreiter Mauro , Ayde Reina , Ozcakal Necati , Senft Tobias , Salameh Najat , Sarracanie Mathieu
Published: August 2024

Electromagnetic interference cancellation method EDITER is implemented in an unshielded low-field MRI scanner at 100mT by addition of only two EMI detection coils to the acquisition chain. The method’s effectiveness is illustrated in high resolution MSK images of healthy volunteer’s hands. Full 3D images with sub-millimeter in-plane or isotropic millimeter voxel dimensions can be obtained in clinically acceptable acquisition times. This approach, in combination with acceleration strategies, opens perspectives in MSK imaging in the field with portable scanners and/or in low resource environments.
On the frequency dependence of electrical conductivity
Authors: Katscher Ulrich , Vernickel Peter
Published: August 2024

Electric conductivity depends on the frequency of the probing electric field. The impact of the frequency differs between human tissue types, e.g., it is lower for body fluids than for cellular tissue types. The upcoming mid-field systems suggest to investigate this frequency dependence with MRI. This study investigated two phantoms, with and without cellular structure, to explore the frequency dependence of conductivity using “Electrical Properties Tomography”. The conductivity results obtained at three different Larmor frequencies were used to estimate the conductivity at lower frequencies in the range of kHz as required for, e.g., EEG source localization.
Diagnostic value of ultrafast quantitative T2 imaging in the preoperative differentiation of meningioma WHO grades
Authors: Li Zongye , Yang Yijie , Zhang Yue , Lin Yanhong , Wang Xiao , Zhuang Yuchuan , Yang Qinqin , Gao Eryuan , Ren Yanan , Zhang Yong , Cai Shuhui , Chen Zhong , Cai Congbo , Cheng Jingliang , Bao Jianfeng
Published: August 2024

We assess the ability of a novel single-shot quantitative T2 magnetic resonance imaging (MRI) sequence and apparent diffusion coefficient (ADC) maps in predicting the WHO grade in meningiomas. We used histogram analysis of T2 maps and ADC maps to compare different grades of meningioma. ADC P10 proved to be the best predictor among all histogram parameters of ADC. While histogram analysis of T2 maps did not receive satisfactory results, the combination of T2 kurtosis and ADC P10 proved to be the best predictor. It is worthy of consideration to try another method of ROI placement and increase the sample size.
T1 mapping of the pancreas in patients with pancreatic cancer—does pancreatic extracellular volume fraction increase the diagnostic value?
Authors: Chen Hai-Yan , Li Kai , Wang Yi-Shi , Shi Lei
Published: August 2024

There was no related study focused on pancreatic cancer, and we have no idea whether T1 mapping and ECV fraction could be used in such patients. Our study was to evaluate whether the T1 relaxation time of the pancreas can detect parenchymal changes in pancreatic cancer (PC) patients and whether extracellular volume (ECV) fraction improves the diagnostic value. We found that native T1 relaxation time of the pancreas in patients with PCs was significantly higher than patients with Non-PCs and volunteers, respectively. The pancreatic ECV was failed to show a significant difference among three groups.