Clinical ImagingPub Date : 2025-07-15DOI: 10.1016/j.clinimag.2025.110562
Osher Ngo Yung Lee , Farhad Niaghi , Rawan Abu Mughli , Maria Zulfiqar , Waqas Ahmad , Simmie Smith , Osama Majeed , Faisal Khosa
{"title":"Patient-centered research in radiology: A Canadian perspective","authors":"Osher Ngo Yung Lee , Farhad Niaghi , Rawan Abu Mughli , Maria Zulfiqar , Waqas Ahmad , Simmie Smith , Osama Majeed , Faisal Khosa","doi":"10.1016/j.clinimag.2025.110562","DOIUrl":"10.1016/j.clinimag.2025.110562","url":null,"abstract":"<div><div>This article examines the importance of patient-centered research in radiology with an emphasis on incorporating the patient perspective to improve patient-reported outcomes (PROs) and research relevance. The methods for effective patient engagement include creating patient advisory councils, developing PRO measures, and incorporating patients as active members of research teams. To solve logistic challenges and technical difficulties, communication tools such as visual aids, simplified language, and digital applications are discussed. Key barriers to patient engagement and potential solutions are discussed. The roles of artificial intelligence (AI) and mobile health (mHealth) platforms in simplifying data, as well as addressing ethical considerations related to data security, transparency, and informed consent, are highlighted.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110562"},"PeriodicalIF":1.8,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clinical ImagingPub Date : 2025-07-07DOI: 10.1016/j.clinimag.2025.110559
Lydia A. Kwarteng , Amie Y. Lee , Lulu Sakafu , Victoria Lee Mango , Lulu S. Fundikira , Frederick Lyimo , Ugumba Kwikima , Beatrice P. Mushi , Katherine Van Loon , Frank J. Minja
{"title":"Global radiology: Building equitable and effective partnerships with low and middle-income countries","authors":"Lydia A. Kwarteng , Amie Y. Lee , Lulu Sakafu , Victoria Lee Mango , Lulu S. Fundikira , Frederick Lyimo , Ugumba Kwikima , Beatrice P. Mushi , Katherine Van Loon , Frank J. Minja","doi":"10.1016/j.clinimag.2025.110559","DOIUrl":"10.1016/j.clinimag.2025.110559","url":null,"abstract":"<div><div>Global radiology partnerships can be leveraged to help address the shortage of radiology access in low and middle-income countries (LMICs). Concurrently, efforts to address inequities in global health initiatives and the power asymmetry between High-Income Countries (HIC) and LMIC partners are ongoing. As the field of radiology continues to expand its global health presence, it is important to ensure the creation of equitable partnerships that avoid perpetuating power imbalances. This paper reviews the critical need to establish and scale-up radiologic care in LMICs, provides historical background on the origins of global health and how these origins might impact current global health practice, briefly introduces the topic of the Decolonize Global Health (DGH) movement, and provides examples of best practices to foster equitable and effective global radiology partnerships.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110559"},"PeriodicalIF":1.8,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clinical ImagingPub Date : 2025-07-06DOI: 10.1016/j.clinimag.2025.110558
Eun-Ju Kim , Seong Woo Cho , Jung-Ho Yang , Won Gi Jeong
{"title":"Artificial intelligence-assisted longitudinal assessment of coronary artery calcification in the Korean lung cancer screening CT program","authors":"Eun-Ju Kim , Seong Woo Cho , Jung-Ho Yang , Won Gi Jeong","doi":"10.1016/j.clinimag.2025.110558","DOIUrl":"10.1016/j.clinimag.2025.110558","url":null,"abstract":"<div><h3>Purpose</h3><div>The clinical implications of coronary artery calcification (CAC) growth remain underexplored. This study aims to assess CAC growth and its association with adverse cardiovascular events (ACEs) in individuals undergoing lung cancer screening (LCS) using artificial intelligence (AI)-assisted evaluation.</div></div><div><h3>Methods</h3><div>We included patients who underwent LCS low-dose chest CT (LDCT) between April 2017 and December 2023 with available follow-up LDCT scans. CAC severity was quantified using AI-based software. CAC growth was defined as incident CAC in those with baseline CAC = 0 or annual progression > 15 % in those with baseline CAC > 0. ACEs were categorized as major or minor events. Associations between CAC growth and ACEs were evaluated using Cox regression models, adjusting for baseline age and CAC status.</div></div><div><h3>Results</h3><div>Male patients (<em>n</em> = 193; mean age, 61.6 ± 5.2 years) were analyzed. Over a 4-year mean follow-up, 15.5 % experienced ACEs (major event: 4.1 %, minor event: 11.4 %). Greater baseline CAC severity correlated with a higher annual CAC increase (<em>p</em> < 0.001). Age (adjusted hazard ratio (HR) (95 % confidence interval (CI)) = 1.08 (1.00, 1.17); <em>p</em> = 0.041), CAC growth (adjusted HR (95 % CI) = 2.40 (1.13, 5.09); <em>p</em> = 0.023), and moderate to severe baseline CAC (adjusted HR (95 % CI) = 2.86 (1.11, 7.38); <em>p</em> = 0.030) in the three-tiered classification were significantly associated with a higher occurrence of total ACEs.</div></div><div><h3>Conclusions</h3><div>AI-assisted CAC growth tracking using serial LDCT scans provides prognostic value in LCS populations and may guide risk-based cardiovascular follow-up and prevention strategies in clinical practice.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110558"},"PeriodicalIF":1.8,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clinical ImagingPub Date : 2025-07-05DOI: 10.1016/j.clinimag.2025.110560
Kieran Bhave , Kausthubh Hegde , Sanjeeva P. Kalva , Patrick D. Sutphin
{"title":"Safety and efficacy of percutaneous transluminal angioplasty for residual venous stenosis after surgical decompression in venous thoracic outlet syndrome","authors":"Kieran Bhave , Kausthubh Hegde , Sanjeeva P. Kalva , Patrick D. Sutphin","doi":"10.1016/j.clinimag.2025.110560","DOIUrl":"10.1016/j.clinimag.2025.110560","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the safety and efficacy of percutaneous transluminal angioplasty (PTA) performed within 90 days to treat residual venous stenosis following surgical decompression for venous thoracic outlet syndrome (vTOS).</div></div><div><h3>Materials and methods</h3><div>In this institutional review board (IRB)-approved retrospective study, patients who underwent percutaneous transluminal angioplasty within 90 days of surgical decompression for venous thoracic outlet syndrome between January 2000 and December 2023 were included. Following surgery, patients underwent post-operative venography within 90 days, and percutaneous transluminal angioplasty was performed if there was radiographic evidence of subclavian venous stenosis. Post-angioplasty, patients were followed clinically, and venography was performed if symptoms recurred.</div></div><div><h3>Results</h3><div>We found 133 patients (mean age = 31.7 years, 54 males) who underwent percutaneous transluminal angioplasty within 90 days of surgical decompression for venous thoracic outlet syndrome. Two patients in our study had bilateral symptoms and underwent bilateral surgical decompression followed by bilateral angioplasty. Percutaneous transluminal angioplasty was technically successful in 127/135 (94.1 %) extremities. In eight (5.9 %) extremities, the venous occlusion could not be crossed. There were no adverse events from the percutaneous angioplasty procedure. Twenty (15.7 %) extremities developed recurrent symptoms at a median of 162 days following percutaneous angioplasty, and venography confirmed the recurrent venous stenosis.</div><div>The primary patency rates following percutaneous transluminal angioplasty at 6, 12, 36, 60, and 84 months were 92 %, 86 %, 85 %, 84 %, and 83 % respectively.</div></div><div><h3>Conclusion</h3><div>Residual venous stenosis following surgical decompression for venous thoracic outlet syndrome can be safely and effectively treated with percutaneous transluminal angioplasty within 90 days to achieve high long-term patency rates.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110560"},"PeriodicalIF":1.8,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clinical ImagingPub Date : 2025-07-05DOI: 10.1016/j.clinimag.2025.110557
Philipp Prucker , Felix Busch , Felix Dorfner , Christian J. Mertens , Nadine Bayerl , Marcus R. Makowski , Keno K. Bressem , Lisa C. Adams
{"title":"Performance of open-source and proprietary large language models in generating patient-friendly radiology chest CT reports","authors":"Philipp Prucker , Felix Busch , Felix Dorfner , Christian J. Mertens , Nadine Bayerl , Marcus R. Makowski , Keno K. Bressem , Lisa C. Adams","doi":"10.1016/j.clinimag.2025.110557","DOIUrl":"10.1016/j.clinimag.2025.110557","url":null,"abstract":"<div><h3>Rationale and objectives</h3><div>Large Language Models (LLMs) show promise for generating patient-friendly radiology reports, but the performance of open-source versus proprietary LLMs needs assessment. To compare open-source and proprietary LLMs in generating patient-friendly radiology reports from chest CTs using quantitative readability metrics and qualitative assessments by radiologists.</div></div><div><h3>Materials and methods</h3><div>Fifty chest CT reports were processed by seven LLMs: three open-source models (Llama-3-70b, Mistral-7b, Mixtral-8x7b) and four proprietary models (GPT-4, GPT-3.5-Turbo, Claude-3-Opus, Gemini-Ultra). Simplification was evaluated using five quantitative readability metrics. Three radiologists rated patient-friendliness on a five-point Likert scale across five criteria. Content and coherence errors were counted. Inter-rater reliability and differences among models were statistically assessed.</div></div><div><h3>Results</h3><div>Inter-rater reliability was substantial to near perfect (κ = 0.76–0.86). Qualitatively, Llama-3-70b was non-inferior to leading proprietary models in 4/5 categories. GPT-3.5-Turbo showed the best overall readability, outperforming GPT-4 in two metrics. Llama-3-70b outperformed GPT-3.5-Turbo on the CLI (<em>p</em> = 0.006). Claude-3-Opus and Gemini-Ultra scored lower on readability but were rated highly in qualitative assessments. Claude-3-Opus maintained perfect factual accuracy. Claude-3-Opus and GPT-4 outperformed Llama-3-70b in emotional sensitivity (90.0 % vs 46.0 %, <em>p</em> < 0.001).</div></div><div><h3>Conclusions</h3><div>Llama-3-70b shows strong potential in generating quality, patient-friendly radiology reports, challenging proprietary models. With further adaptation, open-source LLMs could advance patient-friendly reporting technology.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110557"},"PeriodicalIF":1.8,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clinical ImagingPub Date : 2025-06-28DOI: 10.1016/j.clinimag.2025.110556
Ruchika Reddy Chimmula , Mark Green , Mark Tann , Michael Koch , Ronald Boris , Katrina Collins , Clint Bahler , Oluwaseyi Oderinde
{"title":"Comparative analysis of machine learning-derived nomogram and biomarkers in predicting side-specific extraprostatic extension: Preliminary findings","authors":"Ruchika Reddy Chimmula , Mark Green , Mark Tann , Michael Koch , Ronald Boris , Katrina Collins , Clint Bahler , Oluwaseyi Oderinde","doi":"10.1016/j.clinimag.2025.110556","DOIUrl":"10.1016/j.clinimag.2025.110556","url":null,"abstract":"<div><h3>Aim</h3><div>This study aimed to assess and compare the performance of nomograms and machine learning (ML) techniques using preoperative biomarkers for predicting side-specific extraprostatic extension (EPE) in prostate cancer, which is linked to poor outcomes and early recurrence. Accurate preoperative prediction can guide clinical decisions and improve treatment.</div></div><div><h3>Materials and methods</h3><div>A retrospective analysis was conducted using data from 108 prostate cancer patients undergoing radical prostatectomy. Clinical, imaging, and genomic data were collected, including PSA density, ISUP biopsy grade, fraction of positive biopsy cores, 68Ga-PSMA-11 PET, MRI, and Decipher Genomic Classifier (DGC) scores. Predictive models were built using logistic regression (LR) and extreme gradient boosting (XGBoost) algorithms, incorporating different combinations of these inputs. Model performance was evaluated using area under the ROC curve (AUC).</div></div><div><h3>Results</h3><div>The median patient age was 61.5 years. XGBoost outperformed LR across most biomarker combinations. PET+DGC models had the highest AUC (0.85 for XGBoost), followed by PET+MRI + DGC (0.83). XGBoost consistently achieved higher AUCs than LR, particularly for DGC and combined input models. PET-only predictions were stronger than those based solely on MRI or genomics, but multi-modal combinations significantly enhanced prediction accuracy.</div></div><div><h3>Conclusion</h3><div>This is the first study to integrate PSMA-PET, MRI, and genomics in ML-based nomogram models for side-specific EPE prediction. XGBoost models demonstrated superior predictive power, especially when combining PET and DGC. These findings highlight the potential of a multi-biomarker, machine learning approach to improve preoperative risk stratification and support personalized treatment planning. Further studies will validate this model in larger cohorts.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110556"},"PeriodicalIF":1.8,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clinical ImagingPub Date : 2025-06-26DOI: 10.1016/j.clinimag.2025.110554
Jeevika, Snehansh Roy Chaudhary
{"title":"Why ultrasound is the missing piece of the puzzle in the imaging and management pathway of acute ankle injuries","authors":"Jeevika, Snehansh Roy Chaudhary","doi":"10.1016/j.clinimag.2025.110554","DOIUrl":"10.1016/j.clinimag.2025.110554","url":null,"abstract":"<div><div>This review explores the utility of diagnostic ultrasound in acute ankle injuries, a prevalent condition affecting approximately 1 in 10,000 people daily in Western countries. Up to 70 % of patients with such injuries may develop chronic ankle instability, leading to persistent dysfunction, reduced quality of life, and increased healthcare burden. Diagnostic errors, particularly missed fractures or complex soft tissue injuries, contribute significantly to patient dissatisfaction and are a common cause of medico-legal claims.</div><div>Limited access to advanced imaging modalities like CT or MRI, especially in resource limited settings, hampers early and accurate diagnosis. In this context, ultrasound presents a compelling alternative. It is inexpensive, non-invasive, non-ionising, portable, and widely accessible. With appropriate training, ultrasound can reliably detect clinically significant and occult injuries.</div><div>When used alongside clinical examination, ultrasound may reduce unnecessary Xrays, especially in Ottawa-positive but radiograph-negative patients. It shows high accuracy in identifying ligament, tendon, and nerve injuries and offers the added benefit of dynamic, real-time, and multi-planar assessment.</div><div>Despite these advantages, ultrasound remains underutilised in clinical practice for acute ankle injuries. Broader adoption could improve diagnostic accuracy, tailor treatment strategies, reduce imaging delays, and enhance patient outcomes. This review highlights the need for integrating ultrasound more effectively into the imaging pathways for ankle trauma.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110554"},"PeriodicalIF":1.8,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clinical ImagingPub Date : 2025-06-25DOI: 10.1016/j.clinimag.2025.110555
Yen Ho , Kao-Lang Liu , Yu-Chuan Lu
{"title":"I saw the “hourglass” sign: CT diagnosis of inguinoscrotal bladder herniation with pseudo-diverticula","authors":"Yen Ho , Kao-Lang Liu , Yu-Chuan Lu","doi":"10.1016/j.clinimag.2025.110555","DOIUrl":"10.1016/j.clinimag.2025.110555","url":null,"abstract":"<div><div>Bladder herniation into the inguinoscrotal region is an uncommon condition that can present with lower urinary tract symptoms and scrotal swelling. Early recognition is critical to avoid serious complications during surgical repair. We report a case of a 75-year-old man with a history of multiple left inguinal hernia repairs who presented with urinary urgency, urge incontinence, and hematuria. Physical examination revealed a persistent scrotal mass. Contrast-enhanced computed tomography (CT) showed a cystic lesion within the left scrotum, directly communicating with the urinary bladder. Delayed-phase images demonstrated progressive opacification of the herniated bladder segment, resembling an “hourglass” configuration. Pseudo-diverticula were also observed within the herniated portion, suggesting chronic bladder outlet obstruction. Given symptom improvement and surgical history, the patient opted for conservative management. This case highlights the importance of recognizing the “Hourglass” sign on CT imaging as a diagnostic clue for inguinoscrotal bladder hernias, aiding early diagnosis and preventing intraoperative complications.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110555"},"PeriodicalIF":1.8,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144513687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clinical ImagingPub Date : 2025-06-21DOI: 10.1016/j.clinimag.2025.110553
Melinda Talley , Kathryn Starzyk , Scott Pohlman , Julia Olsen , Paul Buzinec , Jamie Williams
{"title":"Mammography screening outcomes for women screened by standard versus high resolution digital breast tomosynthesis","authors":"Melinda Talley , Kathryn Starzyk , Scott Pohlman , Julia Olsen , Paul Buzinec , Jamie Williams","doi":"10.1016/j.clinimag.2025.110553","DOIUrl":"10.1016/j.clinimag.2025.110553","url":null,"abstract":"<div><h3>Objective</h3><div>This study compared breast cancer screening outcomes between high resolution (HR; 70-micron) and standard resolution (SR; 100-micron) digital breast tomosynthesis (DBT) systems in real-world practice.</div></div><div><h3>Methods</h3><div>This retrospective, observational cohort study included women ages 40–79 screened for breast cancer at a U.S. health system from 2013 to 2023. Cancer detection rate (CDR), recall rate (RR), and positive predictive value of recall (PPV1) were reported. The odds of each outcome following HR versus SR DBT, adjusted for age, race, density, risk status, prior resolution, facility, and radiologist, were estimated using logistic regression. Additional analyses assessed the impact of having prior mammograms on outcome measures.</div></div><div><h3>Results</h3><div>A total of 184,006 mammograms were included (95,633 SR, 88,373 HR). The CDR was 5.38/1000 (HR) and 4.87/1000 (SR) (<em>p</em> = 0.1296). The increase in cancer detection with HR was statistically significant after adjusting for potential confounders (OR = 1.370, 95 % CI:1.117, 1.681). The RR was 9.80 % (HR) and 9.07 % (SR) (<em>p</em> < 0.0001), with an adjusted OR of 1.392 (95 % CI:1.327, 1.460). PPV1 was similar: 5.57 % (HR), 5.45 % (SR) (<em>p</em> = 0.2730). For exams with a known prior, the CDR was 5.38/1000 (HR) and 4.22/1000 (SR) (<em>p</em> = 0.0020), the RR was 9.39 % (HR) and 7.80 % (SR) (<em>p</em> < 0.0001), and the PPV1 was 5.74 % (HR) and 5.49 % (SR) (<em>p</em> = 0.0437). For HR exams with a known prior, the RR was 10.00 % (SR prior) and 9.14 % (HR prior) (<em>p</em> = 0.0001).</div></div><div><h3>Conclusions</h3><div>This large, real-world study demonstrated that HR DBT is associated with a higher CDR than SR DBT, with a greater increase in CDR for exams with a known prior.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110553"},"PeriodicalIF":1.8,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144513686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}