Academic Radiology最新文献

{"title":"Scholarly Productivity in U.S. Academic Musculoskeletal Radiology Faculty: Clinical Track Versus Tenure/Research Track Analysis.","authors":"Nasim Eshraghi, Mahla Radmard, David M Yousem, Christine Rehwald, Majid Chalian","doi":"10.1016/j.acra.2026.04.023","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.023","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>In U.S. academic radiology, clinical and tenure/research tracks can carry different expectations for scholarship. Accordingly, this study compared bibliometric productivity between clinical-track and tenure/research-track U.S. academic musculoskeletal (MSK) radiology faculty across ranks.</p><p><strong>Materials and methods: </strong>A cross-sectional bibliometric study of U.S. academic MSK radiology faculty was conducted using the Accreditation Council for Graduate Medical Education (ACGME) public program directory and an MSK fellowship program list. Academic rank (assistant, associate, or full professor) and career track were assigned from publicly available institutional titles. Academic age was defined as years from first indexed publication to 2025.</p><p><strong>Results: </strong>Among 610 faculty, 259 (42.5%) were clinical track and 351 (57.5%) tenure/research. Clinical-track assistant professors had higher publications, citations, and h-index than tenure/research assistant professors (all p < 0.01). No significant track differences were observed among associate professors (all p > 0.05). Tenure/research full professors had higher publication counts than clinical-track full professors (p = 0.004), with a borderline higher h-index (p = 0.056). Across all ranks combined, rank-adjusted differences in all metrics were not statistically significant and were mostly unchanged after accounting for academic age. Variance decomposition showed that academic age and rank accounted for nearly all explained variability in bibliometric measures (∼97-99%), whereas track and sex contributed minimally.</p><p><strong>Conclusion: </strong>Track-related differences in bibliometric productivity were rank-dependent, with higher metrics among clinical-track assistant professors and higher publication counts among tenure/research-track full professors. Overall, academic age and rank accounted for most variability in bibliometric measures.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decreasing Administrative Effort Related to Non-Approval of Image-guidED Procedures Using Large Language Models - The DENIED-AI Pilot Study.","authors":"Colin J McCarthy, Vijay Ramalingam, Yiftach Barash, Seetharam Chadalavada, Xiao Wu, Oleksandra Kutsenko, Daniel Raskin, Vera Sorin, Ammar Sarwar","doi":"10.1016/j.acra.2026.04.021","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.021","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>To evaluate whether large language models (LLMs) can generate accurate, clinically valid, and usable letters to appeal insurance denials for radiology procedures.</p><p><strong>Materials and methods: </strong>This pilot study generated insurance appeal letters for a simulated clinical scenario. Four LLMs (Claude 3.5, Nova Pro, Llama-3.1-70B, ChatGPT-4o) were used with zero-shot, few-shot, and retrieval-augmented generation (RAG) techniques. Four board-certified interventional radiologists, blinded to model and technique, scored letters for content (accuracy, personalization, references), grammar and structure (readability, tone, persuasiveness), and usability (estimated editing time, usefulness as a template). References were verified for accuracy, and outputs were carefully examined for hallucinations. Statistical analyses included ANOVA, Chi-square, and Fleiss' Kappa for interrater reliability.</p><p><strong>Results: </strong>Mean content and grammar scores were 3.9 ± 0.95 and 4.3 ± 0.9 (out of 5), with no significant differences by model or technique (p >.05). Reviewer agreement was poor (Fleiss' Kappa -0.18 for content, -0.085 for grammar). Hallucinations were flagged by reviewers in 16/48 assessments, significantly more often with the online model (ChatGPT-4o: 58% vs offline 25%; p =.03). Of 44 references, 80% from the offline models were fabricated compared with 29% from ChatGPT-4o (p <.001). Estimated editing time was less than 10 min in 71% of responses, and the reviewers felt the letters would be useful as templates in 73% of cases.</p><p><strong>Conclusion: </strong>LLM-generated appeal letters for insurance denials were generally well received, with high usability and adequate quality. However, fabricated references and hallucinations remain prevalent, necessitating careful human review before clinical use.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Outcome-defining Hematoma Expansion in Intracerebral Hemorrhage: A CT-based Risk Stratification Study.","authors":"Huiming Li, Yu Cai, Yuefen Li, Wei Wang, Ying Cui, Chunqiang Lu, Tianyu Tang","doi":"10.1016/j.acra.2026.04.015","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.015","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>Hematoma expansion (HE) strongly influences spontaneous intracerebral hemorrhage, yet targeted therapies have shown limited benefit. We aimed to predict outcome-defining, threshold-crossing expansion and establish a clinically actionable risk stratification framework.</p><p><strong>Materials and methods: </strong>We retrospectively analyzed 407 patients with small-to-moderate baseline hematomas, classified as no expansion, HE, or severe HE (sHE). Three models were constructed and compared for each outcome: radiomics-only (R), radiomics-semantic imaging (RI), and an integrated radiomics-imaging-clinical (RI-CL) model. Model performance was evaluated using area under the receiver operating characteristic curve (AUC). A two-threshold, three-tier risk stratification system was derived from the optimal sHE model, and SHapley Additive exPlanations (SHAP) were used for model interpretation.</p><p><strong>Results: </strong>The integrated RI-CL model demonstrated the superior performance for both outcomes (test set AUC: HE = 0.768, sHE = 0.723). SHAP analysis identified basal ganglia involvement, irregular hematoma shape, and lymphocyte percentage as the most influential predictors. Risk stratification based on model probabilities revealed a marked gradient in sHE incidence, ranging from 5.2% in the low-risk group to 27.6% in the high-risk group. All expansion events in the high-risk group were threshold-crossing and clinically malignant.</p><p><strong>Conclusion: </strong>Hematoma expansion in sICH is clinically heterogeneous, and only threshold-crossing expansion drives malignant outcomes. A multimodal CT-based model estimated the risk of threshold-crossing hematoma expansion. Risk stratification showed a marked gradient in sHE incidence, identifying patients at highest risk for outcome-defining expansion.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bureaucracy's Four Horsemen.","authors":"Benjamin R Gray, Richard B Gunderman","doi":"10.1016/j.acra.2026.04.007","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.007","url":null,"abstract":"","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preparing Radiology Trainees to Manage Diagnostic Uncertainty.","authors":"Priscilla J Slanetz","doi":"10.1016/j.acra.2026.03.031","DOIUrl":"https://doi.org/10.1016/j.acra.2026.03.031","url":null,"abstract":"","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diuretic Ultrasound Evaluation of Surgical Necessity in Pediatric Ureteropelvic Junction Obstruction.","authors":"Yuzhu Chen, Qijun Sun, Jingchun Yang, Rundong Guo, Wenhong Jiang, Junjie Guo, Jinming Liu, Jiayong Piao, Zheng Zhao, Shulong Yang, Binbin Guo, Zhaozhu Li","doi":"10.1016/j.acra.2026.04.025","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.025","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>This study aimed to develop an interpretable machine learning (ML) model using diuretic ultrasonography to predict the necessity for surgical intervention in children aged 1 month to 18 years with ureteropelvic junction obstruction (UPJO), thereby providing a non-invasive, radiation-free approach to optimize clinical decision-making.</p><p><strong>Materials and methods: </strong>This study included 41 pediatric patients with UPJO, involving 48 renal units. Participants underwent standardized diuretic ultrasonography, during which the anteroposterior diameter (APD) of the renal pelvis was measured at multiple time points following furosemide injection. Renal excretion curves were derived from sequential APD measurements, and characteristic dynamic parameters were extracted. Key predictors were identified using least absolute shrinkage and selection operator (LASSO) regression and utilized to train six ML models. Model performance was assessed using nested cross-validation, and interpretability was enhanced through SHapley Additive exPlanations (SHAP) analysis.</p><p><strong>Results: </strong>Excretion curves were fitted based on patient data. LASSO regression identified key predictive features, including the area under the diuretic-APD excretion curve (APD-AUC), descent percentage at 45 min, and Timing Grading of Pelviectasis Regression (TGPR). The support vector machine (SVM) model demonstrated superior performance, achieving an AUC of 0.984. SHAP analysis confirmed that a larger curve area, lower descent rate, and higher TGPR value were strongly associated with the need for surgical intervention. The finalized model was deployed as an interactive web application for clinical implementation.</p><p><strong>Conclusion: </strong>This study developed an ML model using diuretic ultrasound-derived excretion curves to accurately identify optimal surgical timing in pediatric UPJO, offering a practical tool for personalized hydronephrosis management.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MRI Features Associated with Plasma ctDNA Positivity in Central Nervous System Lymphoma.","authors":"Yulan Li, Bing Xiu, Wei Wang, Xiaoxia Ma, Yutao Jiang, Yun Xu, Yue Luo, Fengyang Xie, Xinyu Zhu, Daxiao Chen, Zongliang Huang, Yu Zeng, Aijun Shen","doi":"10.1016/j.acra.2026.04.019","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.019","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>Peripheral-blood circulating tumor DNA (ctDNA) detectability is inconsistent in central nervous system lymphoma (CNSL), so negative plasma findings are hard to interpret. This exploratory, hypothesis-generating study tested whether routinely available, reproducible multiparametric Magnetic resonance imaging (MRI) features are associated with plasma ctDNA positivity across repeated paired MRI-plasma assessments.</p><p><strong>Materials and methods: </strong>In this retrospective single-center study, 25 patients with diffuse large B-cell lymphoma involving the CNS (primary or secondary) contributed 46 paired plasma ctDNA and contrast-enhanced brain MRI evaluations. MRI features were prospectively defined and independently annotated by two blinded radiologists; features were retained only with substantial inter-reader agreement (kappa/weighted kappa ≥0.60) or good ICC (≥0.75). Associations with ctDNA positivity (variant allele frequency ≥0.5%) were screened using logistic generalized estimating equations (GEEs) for within-patient correlation, prioritized by patient-level bootstrap stability selection with L1-penalized logistic regression, and summarized in adjusted multivariable models (age at CNS diagnosis and disease type).</p><p><strong>Results: </strong>Among 31 reproducible MRI-derived features, edema crossing the midline had the highest selection frequency (55.8%). In the primary adjusted multivariable model, edema crossing the midline was linked to markedly lower odds of plasma ctDNA positivity (Firth-penalized OR 0.068). To address within-patient correlation from repeated evaluations, uncertainty was estimated by patient-level cluster bootstrap (B = 1000; percentile method), giving a 95% confidence interval of 0.00031-0.236 with complete directional consistency across resamples (Pr[OR < 1] = 1.000; bootstrap failure rate 0.3%). Sensitivity analyses indicated that high non-contrast-enhancing tumor (nCET) burden (≥34%) was associated with higher ctDNA positivity odds, while mass effect was associated with lower odds, though both showed sparse-data patterns.</p><p><strong>Conclusion: </strong>Reproducible MRI features, especially edema crossing the midline, were inversely associated with plasma ctDNA positivity across repeated evaluations. Patient-level cluster-bootstrap inference supported the robustness of the observed association. External validation in larger cohorts is needed before clinical implementation.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Analysis of Quantitative and Semiquantitative Ultrafast DCE-MRI, Morphological Findings, and ADC in Breast Lesion Characterization.","authors":"Meliha Akin, Fusun Taskin, Gul Esen Icten, Nurper Denizoglu, Alev Dolu, Amalya Zeynalova, Fatma Tokat, Cihan Uras","doi":"10.1016/j.acra.2026.04.009","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.009","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>This study aimed to evaluate the diagnostic performance of quantitative and semiquantitative parameters obtained from ultrafast DCE-MRI in differentiating benign and malignant breast lesions, and to compare these parameters with morphological MRI findings and ADC values.</p><p><strong>Materials and methods: </strong>This single-center retrospective study was approved by the institutional ethics committee. Between January 2022 and May 2024, a total of 249 lesions (171 benign and 78 malignant) were evaluated using a protocol combining ultrafast DCE-MRI and conventional DCE-MRI. Quantitative parameters (K_trans, K^ep, Ve) and semiquantitative parameters (TTE, MS, iAUC60, TTP, PEI, APEI, TTMS, WOS45), morphological findings, and ADC values were analyzed.</p><p><strong>Results: </strong>Univariate analyses showed that most semiquantitative parameters (TTE, MS, iAUC60, TTP, PEI, WOS45) significantly differed between benign and malignant lesions (all p < 0.001). In multivariate analysis, only TTP remained significant. Among the quantitative parameters, higher K^ep and K_trans values, and lower Ve values were strongly associated with malignancy (all p < 0.001). In multivariate analysis, only K^ep and K_trans retained significance. Quantitative parameters achieved the highest diagnostic accuracy (AUC 0.953), followed by morphological features (0.936) and ADC (0.913). TTP showed strong but slightly lower performance (0.855).</p><p><strong>Conclusion: </strong>Quantitative parameters demonstrated superior diagnostic performance in distinguishing benign from malignant breast lesions compared with ADC, semiquantitative parameters, and morphological features.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thrombectomy for Mild Large Vessel Occlusion With Neurological Deterioration Beyond 24 h From Last Known Well.","authors":"Rekefu Reheman, Guosen Bu, Yabo Li, Yongwei Shi, Zenghui Liu, Hairi Liu, Conglei Li","doi":"10.1016/j.acra.2026.04.020","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.020","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>Initially mild large vessel occlusion (LVO) with neurological deterioration beyond 24 h from last known well is a challenging entity, yet the benefit of endovascular thrombectomy (EVT) in this setting remains uncertain.</p><p><strong>Materials and methods: </strong>We identified consecutive patients at four centers with mild LVO (National Institutes of Health Stroke Scale (NIHSS) score <6) who encountered neurological deterioration beyond 24 h from last known well. Neurological deterioration was defined as NIHSS worsening by ≥4 points overall or ≥2 points in any single item. Patients were grouped by treatment (EVT vs medical management), with inverse probability of treatment weighting (IPTW) used to balance baseline characteristics. The primary outcome was 90-day functional independence (modified Rankin Scale (mRS) score, 0-2).</p><p><strong>Results: </strong>A total of 121 patients were included: 49 received EVT and 72 received medical management. After IPTW adjustment, baseline characteristics were well balanced between groups. Ninety-day functional independence was achieved in 44.6% of EVT patients versus 16.7% of patients receiving medical management (adjusted odds ratio [OR] 3.60, 95% confidence interval (CI) 1.62-7.99). The rate of hemorrhagic transformation (HT) was higher in the EVT group (19.6% vs 6.0%; adjusted OR 3.72, 95% CI 1.05-13.20), whereas symptomatic intracranial hemorrhage did not differ significantly between groups. Sensitivity analysis based on unweighted cohort showed that EVT was also associated with a higher likelihood of functional independence (adjusted OR 2.65, 95% CI 1.08-6.49).</p><p><strong>Conclusion: </strong>EVT was associated with better functional outcomes in patients with mild LVO and neurological deterioration beyond 24 h, despite an increased risk of HT.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extrapleural Saline Hydrodissection Before CT-Guided Lung Biopsy to Reduce Pneumothorax: A Prospective Comparative Study in Pleura-Adjacent Lesions.","authors":"Kadir Han Alver, Muhammet Arslan, Burak Kurnaz, Mahmut Demirci, Muhammed Tekinhatun","doi":"10.1016/j.acra.2026.04.022","DOIUrl":"https://doi.org/10.1016/j.acra.2026.04.022","url":null,"abstract":"<p><strong>Background: </strong>To evaluate whether extrapleural saline hydrodissection (EPSH) performed before CT-guided percutaneous transthoracic needle biopsy (PTNB) reduces pneumothorax in pleura-adjacent lung lesions.</p><p><strong>Methods: </strong>In this prospective study, 90 patients with pulmonary lesions ≤1.5 cm from the pleura underwent CT-guided PTNB and were assigned to standard PTNB (Group 1, n = 45) or PTNB with EPSH (Group 2, n = 45). Demographic, lesion-related, procedural variables and complications were compared. Multivariable logistic regression evaluated the effect of EPSH on pneumothorax. In Group 2, lesions were stratified by pleura-lesion distance (≤5 mm, >5-10 mm, >10-15 mm); pre- and post-EPSH distances were compared.</p><p><strong>Results: </strong>Procedure time (16.9 ± 4.5 vs. 23.4 ± 4.4 min), radiation dose (105.7 ± 41.5 vs. 124.6 ± 44.5 mGy·cm), and CT acquisitions (5.2 ± 1.4 vs. 6.0 ± 1.4) were higher in Group 2 (all p ≤ 0.015). Pneumothorax was less frequent after EPSH-assisted PTNB (26.7% vs. 8.9%, p = 0.027), corresponding to an absolute risk reduction 17.8% and number needed to treat of 6; none required intervention. Group 1 showed higher pneumothorax odds than Group 2 (OR 4.68, 95% CI 1.24-17.65; p = 0.023). Other procedural parameters were similar. EPSH significantly reduced pleura-lesion distance in all subgroups (p < 0.05), minimizing aerated lung in lesions ≤5 mm.</p><p><strong>Conclusion: </strong>EPSH was associated with significantly lower pneumothorax rates during CT-guided PTNB despite increased procedural demands, with greatest benefit in lesions ≤5 mm from the pleura.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}