bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep learning-based growth prediction for sub-solid pulmonary nodules on CT images
Authors: Liao Ri-qiang , Li An-wei , Yan Hong-hong , Lin Jun-tao , Liu Si-yang , Wang Jing-wen , Fang Jian-sheng , Liu Hong-bo , Hou Yong-he , Song Chao , Yang Hui-fang , Li Bin , Jiang Ben-yuan , Dong Song , Nie Qiang , Zhong Wen-zhao , Wu Yi-long , Yang Xue-ning 
Published: October 2022

BackgroundEstimating the growth of pulmonary sub-solid nodules (SSNs) is crucial to the successful management of them during follow-up periods. The purpose of this study is to (1) investigate the measurement sensitivity of diameter, volume, and mass of SSNs for identifying growth and (2) seek to establish a deep learning-based model to predict the growth of SSNs.MethodsA total of 2,523 patients underwent at least 2-year examination records retrospectively collected with sub-solid nodules. A total of 2,358 patients with 3,120 SSNs from the NLST dataset were randomly divided into training and validation sets. Patients from the Yibicom Health Management Center and Guangdong Provincial People’s Hospital were collected as an external test set (165 patients with 213 SSN). Trained models based on LUNA16 and Lndb19 datasets were employed to automatically obtain the diameter, volume, and mass of SSNs. Then, the increase rate in measurements between cancer and non-cancer groups was studied to evaluate the most appropriate way to identify growth-associated lung cancer. Further, according to the selected measurement, all SSNs were classified into two groups: growth and non-growth. Based on the data, the deep learning-based model (SiamModel) and radiomics model were developed and verified.ResultsThe double time of diameter, volume, and mass were 711 vs. 963 days (P = 0.20), 552 vs. 621 days (P = 0.04) and 488 vs. 623 days (P&lt; 0.001) in the cancer and non-cancer groups, respectively. Our proposed SiamModel performed better than the radiomics model in both the NLST validation set and external test set, with an AUC of 0.858 (95% CI 0.786–0.921) and 0.760 (95% CI 0.646–0.857) in the validation set and 0.862 (95% CI 0.789–0.927) and 0.681 (95% CI 0.506–0.841) in the external test set, respectively. Furthermore, our SiamModel could use the data from first-time CT to predict the growth of SSNs, with an AUC of 0.855 (95% CI 0.793–0.908) in the NLST validation set and 0.821 (95% CI 0.725–0.904) in the external test set.ConclusionMass increase rate can reflect more sensitively the growth of SSNs associated with lung cancer than diameter and volume increase rates. A deep learning-based model has a great potential to predict the growth of SSNs.
Case report: The safety of laparoscopic surgery for the retroperitoneal bronchogenic cyst
Authors: Li Hancong , Xu Jun , Feng Qingbo , Cai Zhaolun , Li Jiaxin 
Published: October 2022

IntroductionBronchogenic cyst is a congenital aberration of bronchopulmonary malformation with bronchial-type, pseudostratified cylindrical epithelium. They are usually discovered in the mediastinum and intrapulmonary but are rarely encountered in retroperitoneum. We report a case of the retroperitoneal bronchogenic cyst and perform a literature review to summarize the safety of laparoscopic resection for this rare disease.Case presentationWe report a 57-year-old woman who was admitted to our hospital with no clinical symptoms and was found by chance to have masses in the adrenal gland area during a routine physical examination. An abdominal CT examination revealed a cystic lesion was found in the left suprarenal region. Afterward, the patient underwent a laparoscopic exploration. Histopathological findings confirmed the diagnosis of a retroperitoneal bronchogenic cyst. The patient recovered uneventfully without signs of recurrence during a 1-year follow-up period.ConclusionBronchogenic cyst is rare in the retroperitoneal region. It should be considered as one of the differential diagnoses of a retroperitoneal neoplasm, especially in the left retroperitoneal region. Laparoscopic surgery is technically feasible and safe for the treatment of patients with a retroperitoneal bronchogenic cyst.
Artificial intelligence with magnetic resonance imaging for prediction of pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer: A systematic review and meta-analysis
Authors: Jia Lu-Lu , Zheng Qing-Yong , Tian Jin-Hui , He Di-Liang , Zhao Jian-Xin , Zhao Lian-Ping , Huang Gang 
Published: October 2022

PurposeThe purpose of this study was to evaluate the diagnostic accuracy of artificial intelligence (AI) models with magnetic resonance imaging(MRI) in predicting pathological complete response(pCR) to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal cancer. Furthermore, assessed the methodological quality of the models.MethodsWe searched PubMed, Embase, Cochrane Library, and Web of science for studies published before 21 June 2022, without any language restrictions. The Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) and Radiomics Quality Score (RQS) tools were used to assess the methodological quality of the included studies. We calculated pooled sensitivity and specificity using random-effects models, I2 values were used to measure heterogeneity, and subgroup analyses to explore potential sources of heterogeneity.ResultsWe selected 21 papers for inclusion in the meta-analysis from 1562 retrieved publications, with a total of 1873 people in the validation groups. The meta-analysis showed that AI models based on MRI predicted pCR to nCRT in patients with rectal cancer: a pooled area under the curve (AUC) 0.91 (95% CI, 0.88-0.93), sensitivity of 0.82(95% CI,0.71-0.90), pooled specificity 0.86(95% CI,0.80-0.91). In the subgroup analysis, the pooled AUC of the deep learning(DL) model was 0.97, the pooled AUC of the radiomics model was 0.85; the pooled AUC of the combined model with clinical factors was 0.92, and the pooled AUC of the radiomics model alone was 0.87. The mean RQS score of the included studies was 10.95, accounting for 30.4% of the total score.ConclusionsRadiomics is a promising noninvasive method with high value in predicting pathological response to nCRT in patients with rectal cancer. DL models have higher predictive accuracy than radiomics models, and combined models incorporating clinical factors have higher diagnostic accuracy than radiomics models alone. In the future, prospective, large-scale, multicenter investigations using radiomics approaches will strengthen the diagnostic power of pCR.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42021285630.
Ocular myasthenia gravis saccades as a measure of extraocular muscle function
Authors: Wong Sui H. , Bancroft Matthew James , Tailor Vijay K. , Abbas Mohamed , Sekar Akila , Noble Claire , Theodorou Maria , Kaski Diego 
Published: October 2022

BackgroundIt is important to understand the pathophysiology of ocular myasthenia gravis (OMG) to improve treatment.AimTo use modern video-oculography to characterise saccadic eye movements in patients with OMG, including anti-AChR, anti-MuSK, anti-LRP4, and seronegative OMG.MethodsIn total, 21 patients with OMG and five age-matched healthy control subjects underwent video-oculography. Participants performed a sequence of horizontal saccades (3 minutes each) at ±5°, ± 10°, and ±20°, followed by 3 minutes of saccades directed at randomly presented targets at ±5°, ± 10°, and ±15°. We recorded the direction, amplitude, duration, peak, and average velocity of each saccade for each task for each participant.ResultsSaccadic amplitude, duration, and average velocity were all lower in OMG patients than in control subjects (p &lt; 0.021). Saccadic amplitude and velocity decreased over time, but this decrease was similar in OMG patients and control subjects. Fixation drift and ocular disparity tended to be greater in OMG patients than in control subjects. Saccadic intrusions occurred more frequently in OMG patients than in control subjects (p &lt; 0.001). No significant effects of time or group by time on fixation drift or ocular disparity were found.DiscussionSaccadic velocities in OMG patients differed from those in normal control subjects, which suggests that OMG affects fast-twitch fibres, although fast-twitch fibres were still able to generate “twitch” or “quiver” movements in the presence of even severe ophthalmoplegia. Slow-twitch muscle fibres involved in gaze holding were also affected, accounting for increased fixation drift following saccades. Our objective finding of increased fixation drift and a larger number of saccadic intrusions mirror our anecdotal experience of patients with OMG who report significant diplopia despite minimal ophthalmoplegia on examination. Such microsaccades may be a surrogate for compensation of a gaze-holding deficit in MG.
Parvifloron D-based potential therapy for glioblastoma: Inducing apoptosis via the mitochondria dependent pathway
Authors: Magalhães Mariana , Domínguez-Martín Eva María , Jorge Joana , Gonçalves Ana Cristina , Díaz-Lanza Ana María , Manadas Bruno , Efferth Thomas , Rijo Patrícia , Cabral Célia 
Published: October 2022

Glioblastoma (GB) is the most malignant and frequent primary tumor of the central nervous system. The lack of diagnostic tools and the poor prognosis associated with this tumor type leads to restricted and limited options of treatment, namely surgical resection and radio-chemotherapy. However, despite these treatments, in almost all cases, patients experience relapse, leading to survival rates shorter than 5 years (∼15–18 months after diagnosis). Novel therapeutic approaches are urgently required (either by discovering new medicines or by repurposing drugs) to surpass the limitations of conventional treatments and improve patients’ survival rate and quality of life. In the present work, we investigated the antitumor potential of parvifloron D (ParvD), a drug lead of natural origin, in a GB cell line panel. This natural drug lead induced G2/M cell cycle arrest and apoptosis via activation of the intrinsic mitochondria-dependent pathway. Moreover, the necessary doses of ParvD to induce pronounced inhibitory effects were substantially lower than that of temozolomide (TMZ, first-line treatment) required to promote comparable effects. Therefore, ParvD may have the potential to overcome the resistance related to TMZ and contribute to the pursuit of hopeful treatments based on ParvD as a drug lead for future chemotherapeutics.
A high integration electrowetting displays system based on AC driving model
Authors: Li Shixiao , Xu Yijian , Zhan Zhiyu , Liu Linwei , Bai Pengfei 
Published: October 2022

As a representative of new reflective display technology, the electrowetting display (EWD) has been widely accepted for its good advantages in power consumption control and display contrast. Because of charge trapping and contact angle hysteresis, static images cannot be maintained and afterimage phenomenon occurs, respectively. These problems seriously affect the EWDs display effect. In order to improve the video display effect of EWDs, an alternating current (AC) driving model was proposed in this paper. Firstly, a high integration EWDs system was built with Xilinx field programmable gate array (FPGA). Secondly, an asymmetric intermediate frequency (IF) AC driving model was proposed to eliminate the afterimage of the video. Finally, the optimized driving method was applied to the EWDs system to achieve a high-smooth display output. The experimental results showed that the problem of afterimage and the problem of static image preserving display were effectively solved. Compared with the traditional AC driving waveform, the maximum reflected luminance of the proposed method was increased by 14%, and the refresh rate of EWDs could reach 60 Hz.
Intravoxel incoherent motion diffusion-weighted imaging and shear wave elastography for evaluating peritumoral liver fibrosis after transarterial chemoembolization in a VX2 rabbit liver tumor model
Authors: Cheng Zhimei , Yang Qin , He Huizhou , Li Ran , Li Xueying , Jiang Hongyu , Zhao Xuya , Li Junxiang , Wang Lizhou , Zhou Shi , Zhang Shuai 
Published: October 2022

In this study, we sought to evaluate changes in peritumoral fibrosis after transarterial chemoembolization (TACE) in a rabbit VX2 liver tumor model using intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI) and ultrasound shear wave elastography (SWE). A total of 20 rabbits underwent implantation of VX2 tumor tissues in the left lobe of the liver. The rabbits were randomly divided into an experimental group (n = 10) or a control group (n = 10). Those in the experimental group were treated with an emulsion of lipiodol and pirarubicin through a microcatheter 2–3 weeks after implantation; those in the control group were treated with sterile water. Compared with the control group, the true diffusion coefficient (D) and pseudodiffusion coefficient (D*) values in liver tissues were significantly lower (p &lt; 0.05 for all) and liver stiffness values (LSV) (10.58 ± 0.89 kPa) were higher in the experimental group (7.65 ± 0.86 kPa; p &lt; 0.001). The median stage of liver fibrosis based on METAVIR scores was 1 (1,1) in the control group and 2 (2,3) in the experimental group (Z = 4.15, p &lt; 0.001). D, D*, and LSV were significantly correlated with pathologic staining in the assessment of liver fibrosis (r = −0.54 p = 0.015; r = −0.50, p = 0.025; r = 0.91, p &lt; 0.001; respectively). These data suggest that TACE aggravates liver injury and liver fibrosis, especially surrounding the tumor, in a rabbit VX2 liver tumor model. IVIM DWI and SWE can be used to evaluate the change in liver fibrosis.
Reduced PGC-1β protein expression may underlie corticosterone inhibition of mitochondrial biogenesis and oxidative phosphorylation in chicken muscles
Authors: Li Sheng , Wang Zhi , Yao Jing Wen , Jiao Hong Chao , Wang Xiao Juan , Lin Hai , Zhao Jing Peng 
Published: October 2022

To uncover the molecular mechanism underlying glucocorticoid-induced loss of mitochondrial integrity in skeletal muscles, studies were performed to investigate whether the peroxisome proliferator-activated receptor γ coactivator 1 (PGC-1)-mediated pathway was involved in this process. In an in vivo trial, 3 groups of 30-d-old Arbor Acres male broilers were randomly subjected to one of the following treatments for 7 days: corticosterone (CORT, 30 mg/kg diet), control (blank), and pair-feeding (restricted to the same feed intake as for the CORT treatment), each with 6 replicates of 15 birds. Mitochondrial abundance, morphology, and function were determined in the pectoralis major and biceps femoris muscles. In an in vitro trial, a primary culture of embryonic chick myotubes was incubated with a serum-free medium for 24 h in the presence or absence of CORT (0, 200, and 1,000 nM). Results showed that CORT destroyed mitochondrial ultrastructure (p &lt; 0.01), and decreased the enzymatic activity and protein expression of respiratory chain complexes (p &lt; 0.05), leading to an inferior coupling efficiency (p &lt; 0.05). As reflected by a decline in mitochondrial density (p &lt; 0.01) and mitochondrial DNA copy number (p &lt; 0.05), CORT reduced mitochondrial contents. Among all three PGC-1 family members, only PGC-1β was down-regulated by CORT at the protein level (p &lt; 0.05). Some aspects of these responses were tissue-specific and seemed to result from the depressed feed intake. Overall, CORT may impair mitochondrial biogenesis and oxidative phosphorylation in a PGC-1β-dependent manner in chicken muscles.
Time trends in the burden of stroke and subtypes attributable to PM2.5 in China from 1990 to 2019
Authors: Chen Huijing , Zhou Zhihua , Li Zhenglong , Liang Shanshan , Zhou Jingjing , Zou Guanyang , Zhou Shangcheng 
Published: October 2022

BackgroundIncreasing studies have found that PM2.5 has large adverse effects on stroke mortality. We want to investigate the long-term trends in the mortality of stroke attributable to ambient particulate matter pollution and household air pollution to provide evidence facilitating the design of policy.MethodsThe deaths data of stroke and its subtypes attributable to PM2.5 were obtained from the Global Burden of Disease (GBD) 2019, analyzed by Joinpoint regression software and the age-period-cohort (APC) method to assess the magnitude of the trends in mortality and the temporal trends in the mortality rate by age, period, and cohort.ResultsFrom 1990 to 2019, the age-standardized mortality rate (ASMR) attributable to PM2.5 exposure trended downwards, but the trends of ambient particulate matter pollution and household air pollution were opposite. The trends varied among subtypes, the AAPC of intracerebral hemorrhage, ischemic stroke, and subarachnoid hemorrhage attributable to PM2.5 were 0.7, 2.5, and−3.3%, respectively. The longitudinal age curve of the APC model showed that the mortality rates due to PM2.5 exposure increased with age. The period RRs of ischemic stroke due to ambient particulate matter pollution increased significantly. The cohort RRs of ambient particulate matter pollution increased among those born from 1905 to 1990. The net drifts of all subtypes attributable to PM2.5 were below 0, but owing to the increase of ambient particulate matter pollution, the range of the decline was small. Males had higher net drift values, compared with females.ConclusionsAmbient particulate matter pollution has become the main type of PM2.5 leading to stroke in China. PM2.5 exposure is more harmful to ischemic stroke, males, and elderly. Chinese government should pay attention to the long-term impact of ambient air pollution on stroke and take effective public health policies and interventions.
Instrumenting a virtual reality headset for at-home gamer experience monitoring and behavioural assessment
Authors: Moinnereau Marc-Antoine , Oliveira Alcyr A. , Falk Tiago H. 
Published: October 2022

Measuring a gamer’s behaviour and perceived gaming experience in real-time can be crucial not only to assess game usability, but to also adjust the game play and content in real-time to maximize the experience per user. For this purpose, affective and physiological monitoring tools (e.g., wearables) have been used to monitor human influential factors (HIFs) related to quality of experience (QoE). Representative factors may include the gamer’s level of engagement, stress, as well as sense of presence and immersion, to name a few. However, one of the major challenges the community faces today is being able to accurately transfer the results obtained in controlled laboratory settings to uncontrolled everyday settings, such as the gamer’s home. In this paper, we describe an instrumented virtual reality (VR) headset, which directly embeds a number of dry ExG sensors (electroencephalography, EEG; electrocardiography, ECG; and electrooculography, EOG) to allow for gamer behaviour assessment in real-time. A protocol was developed to deliver kits (including the instrumented headset and controllers, laptop with the VR game Half-life Alyx, and a second laptop for data acquisition) to participants’ homes during the COVID-19 lockdown. A brief videoconference session was made to provide the participants with instructions, but otherwise the experiment proceeded with minimal experimenter intervention. Eight participants consented to participate and each played the game for roughly 1.5 h. After each gaming session, participants reported their overall experience with an online questionnaire covering aspects of emotions, engagement, immersion, sense of presence, motion sickness, flow, skill, technology adoption, judgement and usability. Here, we describe our obtained findings, as well as report correlations between the subjective ratings and several QoE-related HIFs measured directly from the instrumented headset. Promising results are reported.
DLITE—An inexpensive, deployable interferometer for solar radio burst observations
Authors: Carson George , Kooi Jason E. , Helmboldt Joseph F. , Markowski Blerta B. , Bonanno David J. , Hicks Brian C. 
Published: October 2022

Solar radio bursts (SRBs) are brief periods of enhanced radio emission from the Sun. SRBs can provide unique insights into the plasma structure where emission occurs. SRBs can also provide critical information concerning space weather events such as coronal mass ejections or solar energetic particle events. Providing continuous monitoring of SRBs requires a full network of detectors continuously monitoring the Sun. A promising new network is being developed, employing a four-element interferometer called the Deployable Low-band Ionosphere and Transient Experiment (DLITE) array. DLITE, which operates in a 30–40 MHz band, was specifically designed to probe the Earth’s ionosphere using high resolution measurements (1.024-s temporal resolution, 16.276-kHz frequency resolution); however, this also makes DLITE a powerful new tool for providing detailed observations of SRBs at these frequencies. DLITE is particularly adept at detecting long-duration SRBs like Type II and Type IV bursts. DLITE provides high resolution SRB data that can complement ground-based networks like e-Callisto or space-based observations, e.g., from Wind/WAVES. As an inexpensive interferometer, DLITE has strong potential as an educational tool: DLITE can be used to study the ionosphere, SRBs, and even Jovian radio bursts. Future DLITE arrays could be enhanced by using the full 20–80 MHz band accessible by the antennas and employing its millisecond time-resolution capability; this would improve DLITE’s ability to track long-duration bursts, create the opportunity to study short-duration Type III bursts in detail, and, in particular, make the study of Type I bursts practical.
Characteristics and hotspots of the 50 most cited articles in the field of pre-psoas oblique lumbar interbody fusion
Authors: Lin Guang-Xun , Chen Chien-Min , Jhang Shang-Wun , Zhu Ming-Tao , Lyu Pengfei , Hu Bao-Shan 
Published: October 2022

PurposeIn the past decade, the field of pre-psoas oblique lumbar interbody fusion (OLIF) has developed rapidly, and with it, the literature on OLIF has grown considerably. This study was designed to analyze the top 50 articles in terms of the number of citations through bibliometric research to demonstrate the research characteristics and hotspots of OLIF.MethodSearching the Web of Science database yielded the 50 most cited publications in the OLIF field as of July 10, 2022. The publications were ranked according to the number of citations. The following sources were evaluated: the year of publications, the number of citations, authors, countries, institutions, journals, research topics, and keyword hotspots.ResultsThe most productive period was from 2017 to 2020, with 41 articles. The number of citations varied from 10 to 140, with an average of 35.52, and 1,776 citations were found. World Neurosurgery published the most articles (12), China produced the most articles (16), and the Catholic University of Korea produced the most studies (6). The corresponding author who produced the most articles was J.S. Kim (5), and the first author who produced the most publications was S. Orita (3). The main research topics were anatomical morphology, surgical techniques, indications, outcomes, and complications. The top 10 most cited keywords were “complications,” “decompression,” “spine,” “surgery,” “outcomes,” “transpsoas approach,” “spondylolisthesis,” “anterior,” “disease,” and “injury.”ConclusionsCertain articles can be distinguished from others using citation analysis as an accurate representation of their impact due to their long-term effectiveness and peer recognition. With these publications, researchers are provided with research priorities and hotspots through influential literature in the field of OLIF.