bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extracellular vesicles from adipose-derived stem cells relieve extremity lymphedema in mouse models.
Authors: Tashiro Kensuke , Yoshioka Yusuke , Ochiya Takahiro 
Published: March 2023

Introduction:
Transplantation of adipose-derived mesenchymal stem cells (ADSCs) has been reported to improve the severity of chronic lymphedema. Extracellular vesicles (EVs) derived from mesenchymal stem cells have been reported to exert effects such as the promotion of angiogenesis, suppression of inflammation, and regeneration of damaged organs. In this study, we showed that lymphangiogenesis was induced by EVs derived from ADSCs and revealed the therapeutic potential of these EVs for the treatment of lymphedema.

Methods:
We examined in vitro effects of ADSC-EVs to lymphatic endothelial cells (LECs). Next, we conducted in vivo analysis of ADSC-EVs to mouse lymphedema models. Furthermore, Bioinformatics analysis was also performed to evaluate the implications of the altered miRNA expression.

Results:
We showed that ADSC-EVs promoted the proliferation, migration, and tube formation of LECs, and the gene expression of lymphatic markers was elevated in the ADSC-EV-treated group. Notably, a mouse lymphedema model revealed that legs treated with ADSC-EVs had markedly improved edema with increased numbers of capillary vessels and lymphatic channels. Bioinformatics analysis revealed that ADSC-EV-associated microRNAs, such as miR-199a-3p, miR-145-5p, miR-143-3p, miR-377-3p, miR-100-3p, miR-29a-3p, miR-495-3p, and miR-29c-3p, targeted MDM2, which contributed to the stability of HIF1 and resulted in angiogenesis and lymphangiogenesis in LECs.

Conclusion:
The present study showed lymphangiogenic effects of ADSC-EVs, which will lead to new treatment options for chronic lymphedema. Cell-free therapy with EVs has fewer potential risks, such as poor engraftment efficiency and potential tumor formation, than stem cell transplantation and could be a promising tool for patients suffering from lymphedema.
Radiomics Analysis of Multiphasic Computed Tomography Images for Distinguishing High-Risk Thymic Epithelial Tumors From Low-Risk Thymic Epithelial Tumors
Authors: Liufu Yuling , Wen Yanhua , Wu Wensheng , Su Ruihua , Liu Shuya , Li Jingxu , Pan Xiaohuan , Chen Kai , Guan Yubao 
Published: March 2023

Objectives
The objective of this study is to preoperatively investigate the value of multiphasic contrast-enhanced computed tomography (CT)-based radiomics signatures for distinguishing high-risk thymic epithelial tumors (HTET) from low-risk thymic epithelial tumors (LTET) compared with conventional CT signatures.

Materials and Methods
Pathologically confirmed 305 thymic epithelial tumors (TETs), including 147 LTET (Type A/AB/B1) and 158 HTET (Type B2/B3/C), were retrospectively analyzed, and were randomly divided into training (n = 214) and validation cohorts (n = 91). All patients underwent nonenhanced, arterial contrast-enhanced, and venous contrast-enhanced CT analysis. The least absolute shrinkage and selection operator regression with 10-fold cross-validation was performed for radiomic models building, and multivariate logistic regression analysis was performed for radiological and combined models building. The performance of the model was evaluated by the area under the receiver operating characteristic curve (AUC of ROC), and the AUCs were compared using the Delong test. Decision curve analysis was used to evaluate the clinical value of each model. Nomogram and calibration curves were plotted for the combined model.

Results
The AUCs for radiological model in the training and validation cohorts were 0.756 and 0.733, respectively. For nonenhanced, arterial contrast-enhanced, venous contrast-enhanced CT and 3-phase images combined radiomics models, the AUCs were 0.940, 0.946, 0.960, and 0.986, respectively, in the training cohort, whereas 0.859, 0.876, 0.930, and 0.923, respectively, in the validation cohort. The combined model, including CT morphology and radiomics signature, showed AUCs of 0.990 and 0.943 in the training and validation cohorts, respectively. Delong test and decision curve analysis showed that the predictive performance and clinical value of the 4 radiomics models and combined model were greater than the radiological model (P < 0.05).

Conclusions
The combined model, including CT morphology and radiomics signature, greatly improved the predictive performance for distinguishing HTET from LTET. Radiomics texture analysis can be used as a noninvasive method for preoperative prediction of the pathological subtypes of TET.
Osseous-Tissue Tumor Reporting and Data System With Diffusion-Weighted Imaging of Bone Tumors—An Interreader Analysis and Whether It Adds Incremental Value on Tumor Grading Over Conventional Magnetic Resonance Imaging
Authors: Guirguis Mina , Gupta Anurag , Thakur Uma , Pezeshk Parham , Weatherall Paul , Sharan Gaurav , Xi Yin , Chhabra Avneesh 
Published: March 2023

Objective
The aim of the study is to determine whether the use of diffusion-weighted imaging (DWI) provides incremental increase in performance in the osseous-tissue tumor reporting and data system (OT-RADS) with the hypothesis that use of DWI improves interreader agreement and diagnostic accuracy.

Methods
In this multireader cross-sectional validation study, multiple musculoskeletal radiologists reviewed osseous tumors with DW images and apparent diffusion coefficient maps. Four blinded readers categorized each lesion using the OT-RADS categorizations. Intraclass correlation (ICC) and Conger κ were used. Diagnostic performance measures including area under the receiver operating curve were reported. These measures were then compared with the previously published work that validated OT-RADS but did not include incremental value assessment of DWI.

Results
One hundred thirty-three osseous tumors of the upper and lower extremities (76 benign, 57 malignant) were tested. Interreader agreement for OT-RADS with DWI (ICC = 0.69) was slightly lower (not statistically different) from the previously published work that did not incorporate DWI (ICC = 0.78, P > 0.05). The mean sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating curve including DWI of the 4 readers were 0.80, 0.95, 0.96, 0.79, and 0.91, respectively. In the previously published work without DWI, the mean values of the readers were 0.96, 0.79, 0.78, 0.96, and 0.94, respectively.

Conclusions
The addition of DWI to the OT-RADS system does not allow significantly improved area under the curve diagnostic performance measure. Conventional magnetic resonance imaging can be prudently used for OT-RADS for reliable and accurate characterization of bone tumors.
The Computed Tomography Findings and Follow-up Course of Pulmonary Nocardiosis
Authors: Su Ruihua , Wen Yanhua , Liufu Yuling , Pan Xiaohuan , Guan Yubao 
Published: March 2023

Objective
Our study aimed to elucidate the computed tomography (CT) features and follow-up course of pulmonary nocardiosis patients to improve the understanding and diagnostic accuracy of this disease.

Methods
The chest CT findings and clinical data of patients diagnosed with pulmonary nocardiosis by culture or histopathological examination in our hospital between 2010 and 2019 were retrospectively analyzed.

Results
A total of 34 cases of pulmonary nocardiosis were included in our study. Thirteen patients were on long-term immunosuppressant therapy, among whom 6 had disseminated nocardiosis. Among the immunocompetent patients, 16 had chronic lung diseases or a history of trauma. Multiple or solitary nodules represented the most common CT feature (n = 32, 94.12%), followed by ground-glass opacities (n = 26, 76.47%), patchy consolidations (n = 25, 73.53%), cavitations (n = 18, 52.94%), and masses (n = 11, 32.35%). There were 20 cases (61.76%) with mediastinal and hilar lymphadenopathy, 18 (52.94%) with pleural thickening, 15 (44.12%) with bronchiectasis, and 13 (38.24%) with pleural effusion. Significantly higher rates of cavitations were observed among immunosuppressed patients (85% vs 29%, P = 0.005). At follow-up, 28 patients (82.35%) clinically improved with treatment, while 5 (14.71%) had disease progression, and 1 (2.94%) died.

Conclusions
Chronic structural lung diseases and long-term immunosuppressant use were found as risk factors for pulmonary nocardiosis. While the CT manifestations were highly heterogeneous, clinical suspicion should be raised upon findings of coexisting nodules, patchy consolidations, and cavitations, particularly in the presence of extrapulmonary infections such as those of the brain and subcutaneous tissues. A significant incidence of cavitations may be observed among immunosuppressed patients.
Comparison of Deep-Learning Image Reconstruction With Hybrid Iterative Reconstruction for Evaluating Lung Nodules With High-Resolution Computed Tomography
Authors: Hamada Akiyoshi , Yasaka Koichiro , Inui Shohei , Okimoto Naomasa , Abe Osamu 
Published: March 2023

Objective
This study aimed to investigate the impact of deep-learning reconstruction (DLR) on the detailed evaluation of solitary lung nodule using high-resolution computed tomography (HRCT) compared with hybrid iterative reconstruction (hybrid IR).

Methods
This retrospective study was approved by our institutional review board and included 68 consecutive patients (mean ± SD age, 70.1 ± 12.0 years; 37 men and 31 women) who underwent computed tomography between November 2021 and February 2022. High-resolution computed tomography images with a targeted field of view of the unilateral lung were reconstructed using filtered back projection, hybrid IR, and DLR, which is commercially available. Objective image noise was measured by placing the regions of interest on the skeletal muscle and recording the SD of the computed tomography attenuation. Subjective image analyses were performed by 2 blinded radiologists taking into consideration the subjective noise, artifacts, depictions of small structures and nodule rims, and the overall image quality. In subjective analyses, filtered back projection images were used as controls. Data were compared between DLR and hybrid IR using the paired t test and Wilcoxon signed-rank sum test.

Results
Objective image noise in DLR (32.7 ± 4.2) was significantly reduced compared with hybrid IR (35.3 ± 4.4) (P < 0.0001). According to both readers, significant improvements in subjective image noise, artifacts, depictions of small structures and nodule rims, and overall image quality were observed in images derived from DLR compared with those from hybrid IR (P < 0.0001 for all).

Conclusions
Deep-learning reconstruction provides a better high-resolution computed tomography image with improved quality compared with hybrid IR.
Sternocleidomastoid Muscle in Fetuses: Classification, Morphometric Analysis, and Clinical Significance
Authors: Özdemir Ayşe , Beger Orhan , Bahşi İlhan 
Published: March 2023

Purpose:
This study aimed to examine variations and morphometric properties of the sternocleidomastoid muscle (SCM) in fetuses in terms of infancy and early childhood surgeries.

Materials and Methods:
Neck regions of 27 fetuses (mean age: 23.30±3.40 wk, sex: 11 boys and 16 girls) fixed with 10% formalin were dissected bilaterally. Photographs of the dissected fetuses were taken in the standard position. Morphometric measurements, such as length, width, and angle, were performed on the photographs using the ImageJ software. In addition, the origin and insertion of SCM were detected. Taking into account the studies in the literature, a classification consisting of 10 types associated with the origin of SCM was carried out.

Results:
No statistically significant difference was observed in the parameters in terms of side and sex (P>0.05), except from the linear distance between the clavicle and motor point where the accessory nerve enters SCM (20.10±3.76 for male, 17.53±4.05 for female, P=0.022). Two-headed SCM (Type 1) was detected in 42 out of 54 sides. Two-headed clavicular head (Type 2a) was detected on 9 sides, and 3-headed (Type 2b) on 1 side. A 2-headed sternal head (Type 3) was detected on 1 side. A single-headed SCM (Type 5) was also detected on 1 side.

Conclusion:
Knowledge related to variations of the origin and insertion of fetal SCM may be helpful in preventing complications during treatments of pathologies such as congenital muscular torticollis in early period of life. Moreover, the calculated formulas may be useful to estimate the size of SCM in newborns.
Changes in Subspecialty Interest of Plastic Surgery Residents With Progression of Training: Impact on Academic Attrition
Authors: Stoehr Jenna R. , Vaca Elbert E. , Bacos Jonathan T. , Applebaum Sarah A. , Lopez Joseph , Chu Yuyang ,   ASPSRC Subspecialty Career Pathways Study Group, Gosain Arun K. 
Published: March 2023

Background:
Plastic surgery residency applicants often express interest in academic subspecialties, but only a small percentage of graduating residents pursue academic careers. Identifying reasons for academic attrition may help training programs address this discrepancy.

Methods:
A survey was sent to plastic surgery residents through the American Society of Plastic Surgeons Resident Council to assess interest in 6 plastic surgery subspecialties during junior and senior years of training. If a resident changed their subspecialty interest, the reasons for change were recorded. The importance of different career incentives over time were analyzed with paired t tests.

Results:
Two hundred seventy-six plastic surgery residents of 593 potential respondents (46.5% response rate) completed the survey. Of 150 senior residents, 60 residents reported changing interests from their junior to senior years. Craniofacial and microsurgery were identified as the specialties with the highest attrition of interest, while interest in esthetic, gender-affirmation, and hand surgery increased. For residents who left craniofacial and microsurgery, the desire for higher compensation, to work in private practice, and the desire for improved job opportunities significantly increased. The desire for improved work/life balance was a prominent reason for subspecialty change among senior residents who changed to esthetic surgery.

Conclusions:
Plastic surgery subspecialties associated with academia, such as craniofacial surgery, suffer from resident attrition due to a variety of factors. Increased retention of trainees in craniofacial surgery, microsurgery, and academia could be improved through dedicated mentorship, improved job opportunities, and advocacy for fair reimbursement.
A Case Report of Delusions in a Patient Receiving Cabergoline Therapy for Prolactinoma: Pathophysiology and Proposed Treatment With Aripiprazole
Authors: Springer Charles , Rodgers Robert , Vivino Gina , Attanagoda Saritha , Miks Charles Dylan 
Published: March 2023

Abstract
Cabergoline is a dopamine 2 receptor agonist used as first-line treatment of pituitary prolactinomas. Here, we describe the case of a 32-year-old woman with a pituitary prolactinoma who was treated with cabergoline for 1 year, during which time she developed delusions. We also discuss the use of aripiprazole to mitigate the psychotic symptoms, while maintaining the efficacy of cabergoline treatment.
Out of the Laboratory and into the Home: Home Testing for Sleep Apnea and Other Sleep Disorders
Authors: Dredla Brynn K. , Castillo Pablo R. 
Published: March 2023

Summary:
Home sleep testing has emerged over the past decade and become an intriguing option for patients and providers because it can be conducted in the home environment. However, appropriate application of this technology is key to ensure accurate and validated results to provide appropriate patient care. In this review, we will cover the current guidelines for the use of home sleep apnea tests, the types of testing available, and future directions of home testing.
Restless Legs Syndrome and Periodic Limb Movements of Sleep: From Neurophysiology to Clinical Practice
Authors: Kouri Ioanna , Junna Mithri R. , Lipford Melissa C. 
Published: March 2023

Summary:
This article summarizes restless legs syndrome (RLS), periodic limb movements of sleep, and periodic limb movement disorder. RLS is a common sleep disorder with a prevalence of 5% to 15% in the general population. RLS can present in childhood, and incidence increases with age. RLS can be idiopathic or secondary to iron deficiency, chronic renal failure, peripheral neuropathy, and medications such as antidepressants (with higher rates for mirtazapine and venlafaxine, while bupropion may reduce symptoms at least in the short term), dopamine antagonists (neuroleptic antipsychotic agents and antinausea medications), and possibly antihistamines. Management includes pharmacologic agents (dopaminergic agents, alpha-2 delta calcium channel ligands, opioids, benzodiazepines) and nonpharmacologic therapies (iron supplementation, behavioral management). Periodic limb movements of sleep are an electrophysiologic finding commonly accompanying RLS. On the other hand, most individuals with periodic limb movements of sleep do not have RLS. The clinical significance of the movements has been argued. Periodic limb movement disorder is a distinct sleep disorder that arises in individuals without RLS and is a diagnosis of exclusion.
The promise and peril of interactive embodied agents for studying non-verbal communication: a machine learning perspective
Authors: Gratch Jonathan 
Published: March 2023

In face-to-face interactions, parties rapidly react and adapt to each other's words, movements and expressions. Any science of face-to-face interaction must develop approaches to hypothesize and rigorously test mechanisms that explain such interdependent behaviour. Yet conventional experimental designs often sacrifice interactivity to establish experimental control. Interactive virtual and robotic agents have been offered as a way to study true interactivity while enforcing a measure of experimental control by allowing participants to interact with realistic but carefully controlled partners. But as researchers increasingly turn to machine learning to add realism to such agents, they may unintentionally distort the very interactivity they seek to illuminate, particularly when investigating the role of non-verbal signals such as emotion or active-listening behaviours. Here I discuss some of the methodological challenges that may arise when machine learning is used to model the behaviour of interaction partners. By articulating and explicitly considering these commitments, researchers can transform ‘unintentional distortions’ into valuable methodological tools that yield new insights and better contextualize existing experimental findings that rely on learning technology.
This article is part of a discussion meeting issue ‘Face2face: advancing the science of social interaction’.
Cardiomyocyte transcriptomic signatures in response toTrypanosoma cruziinfection underpin Chagas cardiomyopathy progression
Authors: Candray-Medina Katherine-Sofia , Nakagama Yu , Ito Masamichi , Nakagama Shun , Tshibangu-Kabamba Evariste , Takeda Norihiko , Sugiura Yuki , Nitahara Yuko , Michimuko-Nagahara Yu , Kaku Natsuko , Onizuka Yoko , Arias Carmen-Elena , Mejia Maricela , Alas Karla , Peña Susana , Maejima Yasuhiro , Komuro Issei , Nakajima-Shimada Junko , Kido Yasutoshi 
Published: March 2023

AbstractChagas disease can lead to life-threatening cardiac manifestations that occur more frequently in geographic areas more prevalent with the TcI/II circulating genetic strains. To elucidate the differential transcriptomic signatures of the cardiomyocyte resulting from infection with TcI/II or TcVIT. cruzistrains and explore their relationships with pathogenesis, HL-1 rodent cardiomyocytes were infected with TcI/II or TcVIT. cruzitrypomastigotes. RNA was isolated serially post-infection for microarray analysis. Enrichment analyses of differentially expressed genes (fold-change ≥2 or ≤ 0.5) highlighted the over-represented biological pathways. We found that Oxidative stress-related GO terms, ‘Hypertrophy model’, ‘Apoptosis’, and ‘MAPK signaling’ pathways (all with p<0.01) were upregulated. ‘Glutathione and one-carbon metabolism’ pathway, and ‘Cellular nitrogen compound metabolic process’ GO term (all with p <0.001) were upregulated exclusively in the cardiomyocytes infected with the TcI/II strains. Upregulation in the oxidative stress-related and hypertrophic responses are shared hallmarks with viral myocarditis, another inflammatory cardiac pathology. Nitrogen metabolism upregulation and Glutathione metabolism imbalance may implicate the relation of nitrosative stress and poor oxygen radicals scavenging in the unique pathophysiology of chagasic cardiomyopathy development.ImportanceChagas disease affects more than 6 million people worldwide. One-third of those chronically infected will develop the life-threatening condition Chagas Cardiomyopathy (CCM).Trypanosoma cruzi (T. cruzi), grouped based on their genetic variability into six discrete typing units (DTU), are associated with DTU-specific clinical phenotypes. The diverse genetic make-up of parasite virulence factors shall evoke unique host defense responses of variable magnitude, collectively affecting the phenotypic expression of CCM. To address this, we performed a transcriptome analysis of cardiomyocytes infected with three differentT. cruzistrains each belonging to a different DTU. As a result, we were able to point out dysregulation in nitrogen metabolic processes, Glutathione, and one-carbon metabolism pathways as main features in the host response against cardiomyopathy-proneT. cruzistrains. Further research on these pathways could serve not only in the lookout for progression biomarkers but also in the lead toward the discovery of new therapeutic targets.
Brain age prediction improves the early detection of Alzheimer’s disease in East Asian elderly
Authors: Choi Uk-Su , Park Jun Young , Lee Jang Jae , Choi Kyu Yeong , Won Sungho , Lee Kun Ho 
Published: March 2023

AbstractIntroductionBrain age prediction is used to quantify the pathological and cognitive changes associated with brain aging. However, the predicted age derived from certain models can result in biased estimation and the concealment of inherent aged brain function.MethodsWe constructed a brain age prediction model for the East Asian elderly brain using the brain volume and cortical thickness features from cognitively normal (CN) brains. Furthermore, our model was used to estimate different diagnoses and to construct a classification model of mild cognitive impairment (MCI) conversion and Alzheimer’s disease (AD) conversion.ResultsOur model showed a strong association of the brain age difference (BAD) with three diagnosis groups. In addition, the classification models of MCI conversion and AD conversion showed acceptable and robust performances, respectively (area under the curve [AUC] = 0.66, AUC = 0.76).DiscussionWe believe that our model can be used to estimate the predicted status of an East Asian elderly brain. Moreover, the MCI conversion model has the potential to prevent severe cognitive impairment and can be used for the early detection of AD.