Diagnostic and interventional radiology最新文献

{"title":"Computed tomography-guided cryoablation in treating adrenal metastases: a retrospective single-center study.","authors":"Claudio Pusceddu, Eliodoro Faiella, Claudio Cau, Pierluigi Rinaldi, Luca Melis, Salvatore Marsico","doi":"10.4274/dir.2024.242956","DOIUrl":"https://doi.org/10.4274/dir.2024.242956","url":null,"abstract":"<p><strong>Purpose: </strong>To assess the effectiveness and safety of computed tomography (CT)-guided cryoablation for treating adrenal metastases (AMs).</p><p><strong>Methods: </strong>This study included 12 patients treated with 13 CT-guided cryoablation procedures for AMs between 2016 and 2020. Patients were selected based on specific criteria, including tumor size ≤5 cm and suitability for surgery. Procedures were performed by expert radiologists, with comprehensive monitoring for complications and regular post-treatment evaluations.</p><p><strong>Results: </strong>The primary technical success rate was 91.7%, with a secondary success rate of 100% following repeat procedures. Over an 8-24-month follow-up period, local tumor recurrence was observed in 16.7% of patients, and systemic progression occurred in five (41.6%) patients. The average overall survival duration was 26.4 ± 5.6 months.</p><p><strong>Conclusion: </strong>CT-guided cryoablation is a feasible and effective treatment option for AMs, demonstrating high technical success rates and manageable complications.</p><p><strong>Clinical significance: </strong>This study highlights CT-guided cryoablation as a promising treatment for AMs, offering a minimally invasive alternative to surgery with good local control and safety profile. Further research, including multi-center studies, is needed to confirm these findings.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142497015","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}

{"title":"Safety and efficacy of flow diverter stents in the treatment of bifurcation cerebral aneurysms: single-center experience.","authors":"Yerbol Makhambetov, Aiman Maidan, Chingiz Nurimanov, Assylbek Kaliyev, Baurzhan Kunakbayev, Nurtay Nurakay, Serik Dyussembayev, Nursultan Makhambetov","doi":"10.4274/dir.2024.242903","DOIUrl":"https://doi.org/10.4274/dir.2024.242903","url":null,"abstract":"<p><strong>Purpose: </strong>The use of flow diverter (FD) stents is continually expanding. Aneurysms on arterial bifurcation typically have an undesirable anatomical form, are frequently wide-necked, and include one or more side-branch arteries. In recent years, the off-label use of flow diversion in treating intracranial aneurysms beyond the internal carotid artery has become increasingly popular. This study reports our center's initial experience treating bifurcation aneurysms with FD devices, documenting occlusion outcomes using the O'Kelly-Marotta and modified Cekirge-Saatci scales, as well as the safety of FD usage in bifurcation locations.</p><p><strong>Methods: </strong>This retrospective, single-center study analyzed a prospectively maintained database of patients with cerebral aneurysms treated endovascularly. The study identified bifurcation aneurysms that were treated between January 2019 and May 2022 by placing an FD device covering the neck of the aneurysm.</p><p><strong>Results: </strong>Our short series suggests that flow diversion is a viable therapeutic option for bifurcation aneurysms with favorable angiographic outcomes.</p><p><strong>Conclusion: </strong>In highly selective cases, flow diversion may be considered for treating bifurcation aneurysms in patients who will undergo follow-up examinations in the future.</p><p><strong>Clinical significance: </strong>Flow diversion has emerged as a valuable technique in the management of bifurcation aneurysms, offering the potential for satisfactory occlusion and long-term outcomes.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142497020","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}

{"title":"Reproducibility and interpretability in radiomics: a critical assessment.","authors":"Aydın Demircioğlu","doi":"10.4274/dir.2024.242719","DOIUrl":"https://doi.org/10.4274/dir.2024.242719","url":null,"abstract":"<p><p>Radiomics aims to improve clinical decision making through the use of radiological imaging. However, the field is challenged by reproducibility issues due to variability in imaging and subsequent statistical analysis, which particularly affects the interpretability of the model. In fact, radiomics extracts many highly correlated features that, combined with the small sample sizes often found in radiomics studies, result in high-dimensional datasets. These datasets, which are characterized by containing more features than samples, have different statistical properties than other datasets, thereby complicating their training by machine learning and deep learning methods. This review critically examines the challenges of both reproducibility issues and interpretability, beginning with an overview of the radiomics pipeline, followed by a discussion of the imaging and statistical reproducibility issues. It further highlights how limited model interpretability hinders clinical translation. The discussion concludes that these challenges could be mitigated by following best practices and by creating large, representative, and publicly available datasets.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142497019","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}

{"title":"Letter to the editor re: evaluating Microsoft Bing with ChatGPT-4 for the assessment of abdominal computed tomography and magnetic resonance imaging.","authors":"Hinpetch Daungsupawong, Viroj Wiwanitkit","doi":"10.4274/dir.2024.242994","DOIUrl":"https://doi.org/10.4274/dir.2024.242994","url":null,"abstract":"","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142497018","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}

{"title":"The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative review.","authors":"Benjamin D Simon, Kutsev Bengisu Ozyoruk, David G Gelikman, Stephanie A Harmon, Barış Türkbey","doi":"10.4274/dir.2024.242631","DOIUrl":"https://doi.org/10.4274/dir.2024.242631","url":null,"abstract":"<p><p>With the ongoing revolution of artificial intelligence (AI) in medicine, the impact of AI in radiology is more pronounced than ever. An increasing number of technical and clinical AI-focused studies are published each day. As these tools inevitably affect patient care and physician practices, it is crucial that radiologists become more familiar with the leading strategies and underlying principles of AI. Multimodal AI models can combine both imaging and clinical metadata and are quickly becoming a popular approach that is being integrated into the medical ecosystem. This narrative review covers major concepts of multimodal AI through the lens of recent literature. We discuss emerging frameworks, including graph neural networks, which allow for explicit learning from non-Euclidean relationships, and transformers, which allow for parallel computation that scales, highlighting existing literature and advocating for a focus on emerging architectures. We also identify key pitfalls in current studies, including issues with taxonomy, data scarcity, and bias. By informing radiologists and biomedical AI experts about existing practices and challenges, we hope to guide the next wave of imaging-based multimodal AI research.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142361318","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}

{"title":"Machine learning models for discriminating clinically significant from clinically insignificant prostate cancer using bi-parametric magnetic resonance imaging.","authors":"Hakan Ayyıldız, Okan İnce, Esin Korkut, Merve Gülbiz Dağoğlu Kartal, Atadan Tunacı, Şükrü Mehmet Ertürk","doi":"10.4274/dir.2024.242856","DOIUrl":"https://doi.org/10.4274/dir.2024.242856","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to demonstrate the performance of machine learning algorithms to distinguish clinically significant prostate cancer (csPCa) from clinically insignificant prostate cancer (ciPCa) in prostate bi-parametric magnetic resonance imaging (MRI) using radiomics features.</p><p><strong>Methods: </strong>MRI images of patients who were diagnosed with cancer with histopathological confirmation following prostate MRI were collected retrospectively. Patients with a Gleason score of 3+3 were considered to have clinically ciPCa, and patients with a Gleason score of 3+4 and above were considered to have csPCa. Radiomics features were extracted from T2-weighted (T2W) images, apparent diffusion coefficient (ADC) images, and their corresponding Laplacian of Gaussian (LoG) filtered versions. Additionally, a third feature subset was created by combining the T2W and ADC images, enhancing the analysis with an integrated approach. Once the features were extracted, Pearson's correlation coefficient and selection were performed using wrapper-based sequential algorithms. The models were then built using support vector machine (SVM) and logistic regression (LR) machine learning algorithms. The models were validated using a five-fold cross-validation technique.</p><p><strong>Results: </strong>This study included 77 patients, 30 with ciPCA and 47 with csPCA. From each image, four images were extracted with LoG filtering, and 111 features were obtained from each image. After feature selection, 5 features were obtained from T2W images, 5 from ADC images, and 15 from the combined dataset. In the SVM model, area under the curve (AUC) values of 0.64 for T2W, 0.86 for ADC, and 0.86 for the combined dataset were obtained in the test set. In the LR model, AUC values of 0.79 for T2W, 0.86 for ADC, and 0.85 for the combined dataset were obtained.</p><p><strong>Conclusion: </strong>Machine learning models developed with radiomics can provide a decision support system to complement pathology results and help avoid invasive procedures such as re-biopsies or follow-up biopsies that are sometimes necessary today.</p><p><strong>Clinical significance: </strong>This study demonstrates that machine learning models using radiomics features derived from bi-parametric MRI can discriminate csPCa from clinically insignificant PCa. These findings suggest that radiomics-based machine learning models have the potential to reduce the need for re-biopsy in cases of indeterminate pathology, assist in diagnosing pathology-radiology discordance, and support treatment decision-making in the management of PCa.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142361316","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}

{"title":"Factors effecting the success of retrograde tibiopedal access and recanalization in infrapopliteal artery occlusions.","authors":"Cemal Aydın Gündoğmuş, Hande Özen Atalay, Vugar Samadli, Levent Oğuzkurt","doi":"10.4274/dir.2024.242833","DOIUrl":"https://doi.org/10.4274/dir.2024.242833","url":null,"abstract":"<p><strong>Purpose: </strong>Peripheral arterial disease (PAD) is increasingly prevalent, particularly among the aging population. Retrograde tibiopedal access (RTPA) has emerged as a useful endovascular treatment for PAD. However, there is limited research examining factors that influence the efficacy of RTPA. To investigate factors affecting the access, crossing, and recanalization success rates of RTPA for infrapopliteal PAD treatment.</p><p><strong>Methods: </strong>A retrospective study was conducted on 720 patients who underwent endovascular treatment for PAD. Of these, 104 patients (mean age: 65.5 ± 16.2; 89 men) with 131 RTPA trials were included in the final evaluation. The disease and its duration, Rutherford score, smoking status, access site, and its occlusion status, access, crossing, and recanalization success were noted. Data were analyzed using Pearson's chi-square and Mann-Whitney U tests and multivariate logistic regression to evaluate the impact of various factors on success rates.</p><p><strong>Results: </strong>The access success rate was 82.6%, the crossing success rate was 95.4%, and the recanalization success rate was 74%. Access success was significantly higher when the dorsal pedal artery (DPA) was the access artery compared with the posterior tibial artery (91.3% vs. 74.2%, <i>P</i> = 0.009). Access success was notably lower in patients with thromboangiitis obliterans compared with patients with diabetes mellitus (DM) and non-DM atherosclerosis (68.6% vs. 90.3% and 80.3%, <i>P</i> = 0.019). Recanalization success was higher when the puncture site was non-occluded (76.7% vs. 53.5%, <i>P</i> = 0.023).</p><p><strong>Conclusion: </strong>The study suggests that RTPA is a generally effective and safe technique for infrapopliteal PAD treatment. The most favorable outcomes are observed in individuals with DM who have a non-occluded DPA at the puncture site. Recanalization success is only affected by the patency of the artery at the puncture site.</p><p><strong>Clinical significance: </strong>These findings offer targeted guidance for clinicians and highlight areas requiring further investigation.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142153441","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}

{"title":"Cortical and subcortical structural changes in pediatric patients with infratentorial tumors.","authors":"Barış Genç, Kerim Aslan, Derya Bako, Semra Delibalta, Meltem Necibe Ceyhan Bilgici","doi":"10.4274/dir.2024.242652","DOIUrl":"10.4274/dir.2024.242652","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to detect supratentorial cortical and subcortical morphological changes in pediatric patients with infratentorial tumors.</p><p><strong>Methods: </strong>The study included 24 patients aged 4-18 years who were diagnosed with primary infratentorial tumors and 41 age- and gender-matched healthy controls. Synthetic magnetization-prepared rapid gradient echo images of brain magnetic resonance imaging were generated using deep learning algorithms applied to T2-axial images. The cortical thickness, surface area, volume, and local gyrification index (LGI), as well as subcortical gray matter volumes, were automatically calculated. Surface-based morphometry parameters for the patient and control groups were compared using the general linear model, and volumes between subcortical structures were compared using the t-test and Mann-Whitney U test.</p><p><strong>Results: </strong>In the patient group, cortical thinning was observed in the left supramarginal, and cortical thickening was observed in the left caudal middle frontal (CMF), left fusiform, left lateral orbitofrontal, left lingual gyrus, right CMF, right posterior cingulate, and right superior frontal (<i>P</i> < 0.050). The patient group showed a volume reduction in the pars triangularis, paracentral, precentral, and supramarginal gyri of the left hemisphere (<i>P</i> < 0.05). A decreased surface area was observed in the bilateral superior frontal and cingulate gyri (<i>P</i> < 0.05). The patient group exhibited a decreased LGI in the right precentral and superior temporal gyri, left supramarginal, and posterior cingulate gyri and showed an increased volume in the bilateral caudate nucleus and hippocampus, while a volume reduction was observed in the bilateral putamen, pallidum, and amygdala (<i>P</i> < 0.05). The ventricular volume and tumor volume showed a positive correlation with the cortical thickness in the bilateral CMF while demonstrating a negative correlation with areas exhibiting a decreased LGI (<i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>Posterior fossa tumors lead to widespread morphological changes in cortical structures, with the most prominent pattern being hypogyria.</p><p><strong>Clinical significance: </strong>This study illuminates the neurological impacts of infratentorial tumors in children, providing a foundation for future therapeutic strategies aimed at mitigating these adverse cortical and subcortical changes and improving patient outcomes.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":"328-334"},"PeriodicalIF":1.4,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11590737/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141247611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of body composition and systemic inflammation for patients with locally advanced cervical cancer following concurrent chemoradiotherapy","authors":"Juan Li, Cuili Niu, Ling Zhang, Yanmin Mu, Xiuyin Gui","doi":"10.4274/dir.2024.242751","DOIUrl":"10.4274/dir.2024.242751","url":null,"abstract":"<p><strong>Purpose: </strong>Systemic inflammation and body composition are associated with survival outcomes of cancer patients. This study aimed to examine the combined prognostic value of systemic inflammatory markers and body composition parameters in patients with locally advanced cervical cancer (LACC).</p><p><strong>Methods: </strong>Patients who underwent concurrent chemoradiotherapy (CCRT) for LACC at a tertiary referral teaching hospital between January 2010 and January 2018 were enrolled. A predictive model was established based on systemic immune-inflammation index (SII) and computer tomography-derived visceral fat-to-muscle ratio (vFMR). Overall survival (OS) and progression-free survival (PFS) were assessed using the Kaplan-Meier method and Cox regression models. The model performance was assessed using discrimination, calibration, and clinical usefulness.</p><p><strong>Results: </strong>In total, 212 patients were enrolled. The SII and vFMR were closely related, and both independently predicted survival (<i>P</i> < 0.05). A predictive model was established based on the above biomarkers and included three subgroups: high-risk [both high SII (>828) and high vFMR (>1.1)], middle-risk (either high SII or high vFMR), and low-risk (neither high SII nor high vFMR). The 3-year OS (PFS) rates for low-, middle-, and high-risk patients were 90.5% (86.0%), 73.9% (58.4%), and 46.8% (36.1%), respectively (<i>P</i> < 0.05). This model demonstrated satisfactory predictive accuracy (area under the curve values for predicting 3-year OS and PFS were 0.704 and 0.718, respectively), good fit (Hosmer-Lemeshow tests: <i>P</i> > 0.05), and clinical usefulness.</p><p><strong>Conclusion: </strong>Systemic inflammatory markers combined with body composition parameters could independently predict the prognosis of patients with LACC, highlighting the utilization of commonly collected indicators in decision-making processes.</p><p><strong>Clinical significance: </strong>The SII and vFMR, as well as their composite indices, were promising prognostic factors in patients with LACC who received definitive CCRT. Future studies are needed to explore novel therapies to improve the outcomes in high-risk patients.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":"279-290"},"PeriodicalIF":1.4,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11590736/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141247639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Percutaneous nephrostomy in infants: a 20-year single-center experience","authors":"Onur Taydaş, Emre Ünal, Devrim Akıncı, Mehmet Şeker, Osman Melih Topçuoğlu, Okan Akhan, Türkmen Turan Çiftçi","doi":"10.4274/dir.2023.232276","DOIUrl":"10.4274/dir.2023.232276","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the safety and efficacy of the imaging-guided percutaneous nephrostomy (PCN) procedure in infants.</p><p><strong>Methods: </strong>A total of 75 (50 boys; 66.7%) patients with a mean age of 121 days (range, 1-351 days) who underwent PCN over a period of 20 years were included in this retrospective study. For each patient, PCN indications, catheter size, the mean duration of catheterization, complications, and the procedure performed following nephrostomy were recorded. Technical success was determined based on the successful placement of the nephrostomy catheter within the pelvicalyceal system. Clinical success was defined as the complete resolution of hydronephrosis and improvement in renal function tests during follow-up. In patients with urinary leakage, technical and clinical success was determined based on the resolution of leakage.</p><p><strong>Results: </strong>The technical success rate was 100%, and no procedure-related mortality was observed. In 11 patients (14.7%), bilateral PCN was performed. The most frequent indication of PCN was ureteropelvic junction obstruction (n = 41, 54.7%). Procedure-related major complications were encountered in two patients (methemoglobinemia and respiratory arrest caused by the local anesthetic agent in one patient and the development of urinoma caused by urinary leakage from the puncture site in the other). Mild urinary leakage was the only minor complication that occurred and only in one patient. Catheter-related complications were managed through replacement or revision surgery in 16 patients (21.3%).</p><p><strong>Conclusion: </strong>Imaging-guided PCN is a feasible and effective procedure with high technical success and low major complication rates, and it is useful for protecting kidney function in infants.</p>","PeriodicalId":11341,"journal":{"name":"Diagnostic and interventional radiology","volume":" ","pages":"318-324"},"PeriodicalIF":1.4,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11590733/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10024131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}