Clinical Neuroradiology最新文献

{"title":"Modulating Cognitive Function with Antihypertensive Medications: a Comprehensive Systematic Review On FMRI Studies.","authors":"Sama Rahnemayan, Elham Mehdizadehfar, Arezoo Fathalizadeh","doi":"10.1007/s00062-024-01494-0","DOIUrl":"10.1007/s00062-024-01494-0","url":null,"abstract":"<p><strong>Background: </strong>Hypertension (HTN) is a prevalent cardiovascular condition associated with cognitive impairments, including memory deficits and attention lapses. Understanding the neural mechanisms underlying HTN-related cognitive dysfunction is crucial for optimizing treatment strategies.</p><p><strong>Method: </strong>A systematic review was conducted to explore the impact of antihypertensive medications on cognition, focusing on memory, attention, and emotion processing using functional magnetic resonance imaging (fMRI). Searches were performed in PubMed and Scopus up to March 10, 2024, with no language restrictions.</p><p><strong>Results: </strong>A total of 108 articles were identified, of which 12 systematic reviews and meta-analyses met the inclusion criteria. Included studies investigated various antihypertensive drugs, including losartan, propranolol, spironolactone, and telmisartan, and their effects on cognitive processes. Losartan improved negative memory encoding and facilitated fear extinction via hippocampal and prefrontal modulation. Propranolol disrupted fear reconsolidation and reduced emotional memory retrieval, affecting the amygdala and hippocampus. Spironolactone prevented stress-induced memory shifts in the amygdala. Findings indicated distinct impacts of these medications on memory encoding, fear extinction, and stress-induced memory modulation, as evidenced by alterations in neural activity patterns observed on fMRI.</p><p><strong>Conclusion: </strong>Antihypertensive medications, such as losartan and propranolol, demonstrate potential in modulating memory, fear-related memory reconsolidation, and stress-induced memory modulation, highlighting their therapeutic implications for conditions like posttraumatic stress disorder (PTSD) and anxiety disorders. This review underscores the importance of fMRI studies in elucidating the neural correlates of HTN-related cognitive impairments and optimizing treatment approaches.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":"231-237"},"PeriodicalIF":2.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143001224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Volumetry of Selected Brain Regions-Can We Compare MRI Examinations of Different Manufacturers and Field Strengths?","authors":"Svea Seehafer, Lars-Patrick Schmill, Sönke Peters, Olav Jansen, Schekeb Aludin","doi":"10.1007/s00062-024-01489-x","DOIUrl":"10.1007/s00062-024-01489-x","url":null,"abstract":"<p><strong>Purpose: </strong>Magnetic Resonance Imaging based brain segmentation and volumetry has become an important tool in clinical routine and research. However the impact of the used hardware is only barely investigated. This study aims to assess the influence of scanner manufacturer, field strength and head-coil on volumetry results.</p><p><strong>Methods: </strong>10 healthy subjects (27.4 ± 1.71 years) were prospectively examined in a Philips Achieva 1.5T, Philips Ingenia CX 3T, Siemens MAGNETOM Aera 1.5T and Siemens MAGNETOM Vida 3T, the latter equipped with three different head coils, within one day. Brain volumetry of the whole brain, total white and grey matter, the cortical grey matter of the supratentorial lobes as well as regions important for the differentiation of neurodegenerative diseases of the dementia and movement disorder spectrum and the ventricular system was performed using the CE-certified software mdbrain by mediaire (Berlin, Germany). Both raw volumetry results and percentile allocation provided by the software were analysed.</p><p><strong>Results: </strong>This study reveals significantly different volumetry results for all examined brain regions beside the ventricular system between the different MRI devices but comparable results between the different head coils. When examining the percentile allocation provided by used software, the Intraclass-Correlation-Coefficient (ICC) values were even lower than the raw volume ICC values ranging from poor to excellent correlation.</p><p><strong>Conclusion: </strong>The present study reveals highly relevant results that need to be considered both in clinical routine when analysing follow-up examinations from different scanner types and clinical research, especially when planning longitudinal and/or multicentre studies.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":"363-378"},"PeriodicalIF":2.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12174252/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143001227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discriminators of Paraclinoid Aneurysm Rupture Based On Morphological Computer-Assisted Semiautomated Measurement (CASAM) and Hemodynamic Analysis.","authors":"Xiaodong Zhai, Sishi Xiang, Jiewen Geng, Peng Hu, Chuan He, Guilin Li, Jingwei Li, Liming Zhang, Wei Yang, Hongqi Zhang","doi":"10.1007/s00062-024-01475-3","DOIUrl":"10.1007/s00062-024-01475-3","url":null,"abstract":"<p><strong>Background: </strong>Paraclinoid aneurysms, arising from the proximal dural ring and extending to the origin of the posterior communicating artery of the internal carotid artery (ICA), represent a significant proportion of all intracranial aneurysms (IAs). Accurate prediction of the rupture risk of paraclinoid aneurysms is crucial for optimal management. The objective of this study was to identify risk factors for the rupture of paraclinoid aneurysms on the basis of computer-assisted semiautomated measurement (CASAM) and hemodynamics.</p><p><strong>Methods: </strong>The clinical, demographic and radiological data of the 304 paraclinoid aneurysms (285 unruptured and 19 ruptured) included were extracted from the Chinese Intracranial Aneurysm Project (CIAP) database. Morphological parameters were quantified via CASAM, and hemodynamic simulations were performed via computational fluid dynamics (CFD). Univariate and multivariate logistic regression analyses were conducted to identify independent risk factors for aneurysm rupture.</p><p><strong>Results: </strong>The mean age of the patients was 56.91 ± 11.0 years, with a female predominance (71.7%). Univariate analysis revealed that the undulation index (UI) and nonsphericity index (NSI) were significantly greater in ruptured paraclinoid aneurysms than in unruptured aneurysms. The proportion of ruptured paraclinoid aneurysms located laterally on the ICA was significantly lower than that of those located anteriorly (p = 0.002). Multivariate logistic regression analysis revealed that a greater UI (OR = 1.086, 95% CI 1.012-1.165; p = 0.022) and larger low shear area (LSA) (OR = 1.034, 95% CI 1.004-1.064; p = 0.028) were independent risk factors for rupture.</p><p><strong>Conclusions: </strong>Our findings indicate that a greater UI and a larger LSA are independent risk factors for the rupture of paraclinoid aneurysms. Compared with aneurysms in other orientations, paraclinoid aneurysms located anteriorly to the ICA are more prone to rupture. These findings may be useful in developing more consummate predictive models to enhance the management and surveillance of paraclinoid aneurysms in the future, leading to improved clinical decision-making and better patient outcomes.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":"269-278"},"PeriodicalIF":2.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142766764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep-Learning-based Automated Identification of Ventriculoperitoneal-Shunt Valve Models from Skull X-rays.","authors":"Marius Vach, Daniel Weiss, Vivien Lorena Ivan, Christian Boschenriedter, Luisa Wolf, Thomas Beez, Björn B Hofmann, Christian Rubbert, Julian Caspers","doi":"10.1007/s00062-024-01490-4","DOIUrl":"10.1007/s00062-024-01490-4","url":null,"abstract":"<p><strong>Introduction: </strong>Ventriculoperitoneal shunts (VPS) are an essential part of the treatment of hydrocephalus, with numerous valve models available with different ways of indicating pressure levels. The model types often need to be identified on X‑rays to assess pressure levels using a matching template. Artificial intelligence (AI), in particular deep learning, is ideally suited to automate repetitive tasks such as identifying different VPS valve models. The aim of this work was to investigate whether AI, in particular deep learning, allows the identification of VPS models in cranial X‑rays.</p><p><strong>Methods: </strong>959 cranial X‑rays of patients with a VPS were included and reviewed for image quality and complete visualization of VPS valves. The images included four VPS model types: Codman Hakim (n = 774, 81%), Codman Certas Plus (n = 117, 12%), Sophysa Sophy Mini SM8 (n = 35, 4%) and proGAV 2.0 (n = 33, 3%). A Convolutional Neural Network (CNN) was trained using stratified five-fold cross-validation to classify the four VPS model types in the dataset. A finetuned CNN pretrained on the ImageNet dataset as well as a model trained from scratch were compared. The averaged performance and uncertainty metrics were evaluated across the cross-validation splits.</p><p><strong>Results: </strong>The fine-tuned model identified VPS valve models with a mean accuracy of 0.98 ± 0.01, macro-averaged F1 score of 0.93 ± 0.04, a recall of 0.94 ± 0.03 and a precision of 0.95 ± 0.08 across the five cross-validation splits.</p><p><strong>Conclusion: </strong>Automatic classification of VPS valve models in skull X‑rays, using fully automatable preprocessing steps and a CNN, is feasible. This is an encouraging finding to further explore the possibility of automating VPS valve model identification and pressure level reading in skull X‑rays.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":"347-354"},"PeriodicalIF":2.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12174198/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decreased Cortical Sulcus Depth in Parkinson's Disease with Excessive Daytime Sleepiness.","authors":"Lina Wang, Chi Zhang, Bijia Wang, Li Zhang, Guangjun Xi, Jingyu Deng, Feng Wang","doi":"10.1007/s00062-024-01482-4","DOIUrl":"10.1007/s00062-024-01482-4","url":null,"abstract":"<p><strong>Introduction: </strong>Excessive daytime sleepiness (EDS), a prevalent non-motor symptom in Parkinson's disease (PD), significantly impacts the quality of life for PD patients and elevates the risks of injury. Our study is to investigate the altered cortical surface morphology characteristics in PD patients with EDS (PD-EDS).</p><p><strong>Methods: </strong>Clinical data and magnetic resonance imaging were obtained from the Parkinson's Progression Marker Initiative database, comprising 36 PD-EDS and 98 PD patients without EDS (PD-nEDS). The computational anatomy toolbox was utilized to derive sulcus depth (SD) and deep grey matter (GM) nuclei volumes.</p><p><strong>Results: </strong>PD-EDS patients exhibited significantly decreased SD values in the right caudal middle frontal gyrus, pars opercularis, and superior temporal cortex relative to PD-nEDS patients. However, no significant differences in deep GM nuclei volumes were identified. Receiver operating characteristic (ROC) curve analyses further revealed that these cortical SD values could potentially serve as a screening index for distinguishing PD-EDS from PD-nEDS. Additionally, although PD-EDS patients had a longer disease duration and poorer performance in motor function and depression compared to PD-nEDS patients, these factors were included as covariates in the neuroimaging analyses.</p><p><strong>Conclusion: </strong>Our study findings demonstrated that decreased cortical SD values might induce sleep-wake state instability and contribute to the pathophysiological mechanisms of EDS in early-stage PD.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":"279-286"},"PeriodicalIF":2.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142784357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acute Occlusion of One Side of Bilateral Infraoptic Anterior Cerebral Arteries.","authors":"Kengo Kishida, Hideki Oka, Hitoshi Kawano, Hidesato Takezawa","doi":"10.1007/s00062-024-01479-z","DOIUrl":"10.1007/s00062-024-01479-z","url":null,"abstract":"","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":"409-412"},"PeriodicalIF":2.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142738589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neurologically Symptomatic Pneumorrhachis as the Primary Clinical Manifestation of Rectal Cancer.","authors":"Sabine Sari, Natascha Wallendszus, Tobias Struffert","doi":"10.1007/s00062-025-01530-7","DOIUrl":"https://doi.org/10.1007/s00062-025-01530-7","url":null,"abstract":"","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144149629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visualization of Culprit Perforating Artery in Subcortical Infarction Using 3D MRI and Angiography Fusion Image.","authors":"Junpei Koge, Shiori Ogura, Kanta Tanaka, Shuhei Egashira, Takeshi Yoshimoto, Masayuki Shiozawa, Yasutoshi Ohta, Tetsuya Fukuda, Masafumi Ihara, Kazunori Toyoda, Masatoshi Koga","doi":"10.1007/s00062-025-01520-9","DOIUrl":"https://doi.org/10.1007/s00062-025-01520-9","url":null,"abstract":"<p><strong>Purpose: </strong>Visualizing the culprit perforating artery in subcortical infarction using in vivo imaging is challenging. We aimed to identify the culprit perforating arteries in subcortical infarctions and assess their morphology using an image fusion technique.</p><p><strong>Methods: </strong>We retrospectively reviewed consecutive patients who had an ischemic stroke in the anterior circulation perforating area (caudate nucleus, lentiform nucleus, internal capsule, corona radiata, or centrum semiovale) and underwent three-dimensional rotational-angiography (3D-RA) and 3D fluid-attenuated inversion recovery MRI. Images were registered using an original fusion software. The spatial relationship between the infarction and culprit perforating artery and its morphological characteristics were analyzed in the fusion images. Stenosis was defined as > 50% luminal narrowing or a focal intraluminal defect in the perforating artery.</p><p><strong>Results: </strong>Of 118 patients, the culprit perforating artery was identified in 52 patients (44%); They tended to have younger age and had a higher baseline NIHSS score and higher prevalence of infarcts in the lentiform nucleus than did those without identified culprit perforating artery. Among the 44 patients with assessable morphology of the culprit perforating artery, 27 (61%) exhibited stenosis in the proximal segment. Atrial fibrillation was more frequent in patients without stenosis in the proximal segment of the culprit perforating artery than in those with stenosis (29% vs. 4%, P = 0.03).</p><p><strong>Conclusion: </strong>The 3D-RA and MRI fusion technique enables identification of the culprit perforating arteries in subcortical infarctions, especially in the lentiform nucleus. Morphological features of the culprit perforating artery may be associated with the etiological mechanism of stroke.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143966710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photon-Counting CT-Angiography to Assess Intracranial Stents and Flow Diverters in Comparison to Digital Subtraction Angiography.","authors":"Frederic De Beukelaer, Mohammed El Halal, Sophie De Beukelaer, Laura L Wuyts, Martin Wiesmann, Hani Ridwan, Charlotte S Weyland","doi":"10.1007/s00062-025-01519-2","DOIUrl":"https://doi.org/10.1007/s00062-025-01519-2","url":null,"abstract":"<p><strong>Purpose: </strong>Photon-Counting Detector CT is characterized by enhanced image post-processing capabilities. The diagnostic accuracy of PCD-CT angiography (PCD-CTA) in assessing intracranial stents (ICS) and flow diverters (FD) has yet to be compared with digital subtraction angiography (DSA).</p><p><strong>Methods: </strong>Retrospective analysis of all consecutive patients who underwent ICS or FD implantation between April 2023 and May 2024. Polyenergetic images, along with virtual monoenergetic imaging (VMI), pure lumen (PL) and iodine (IOD) reconstructions were assessed by three readers using a 5-point Likert scale and defined regions of interest (ROIs). A blinded analysis was performed to identify relevant lumen reduction. The diagnostic accuracy of PCD-CTA was compared to DSA by calculating the area under the receiver operating characteristic curve.</p><p><strong>Results: </strong>A total of 18 patients (mean age 59 ± 13 years; 14 women) with 14 implanted ICS and 10 FD were analyzed. Across all pairwise comparisons, pooled VMI reconstructions demonstrated higher ratings and signal-to-noise ratios compared to IOD, PL and UHR reconstructions (p < 0.001 for all comparisons). In the pooled assessment of DSA of in-stent vessel lumen 18 (11%) of the 162 vessel segments and 6 (33%) of the 18 patients presented relevant narrowing of the in-stent vessel lumen. The sensitivity of PCD-CTA for detecting stenosis was 100% (18 of 18 in-stent vessel segments), while specificity was 89% (128/144 in-stent vessel segments). All readers reported a 100% negative predictive value (128/128 in-stent vessel segments).</p><p><strong>Conclusion: </strong>Photon-Counting Detector CT might provide a reliable assessment of intracranial vessels following stent or flow diverter implantation comparable to DSA in many cases.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143991686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flow Diversion Versus Coiling in Small and Medium-sized Unruptured Aneurysms of Proximal Anterior Circulation with Complex Anatomy: a Matched-pairs Study.","authors":"Anton Gorbatykh, Dmitry Kislitsin, Timur Shayakhmetov, Pavel Seleznev, Vadim Berestov, Nikolay Strelnikov, Jens Fiehler, Kirill Orlov","doi":"10.1007/s00062-025-01518-3","DOIUrl":"https://doi.org/10.1007/s00062-025-01518-3","url":null,"abstract":"<p><strong>Background: </strong>The benefits of flow diversion (FD) versus endosaccular coiling (EC) in small and medium-sized proximal saccular aneurysms of anterior circulation, amenable to both methods, remain not well-established. This study aimed to compare the efficacy and safety of FD vs EC and evaluate the triggers of treatment modality choice in the aforementioned setting.</p><p><strong>Methods: </strong>The study had a retrospective design. Raw sample included 154 FD and 190 EC consecutively enrolled cases. All aneurysms were saccular, sized 4-14 mm, located at intradural ICA or A1/M1, not acutely ruptured and previously untreated. Median lesion size was 6.6 mm (90% < 10 mm), median neck diameter‑3.7 mm. Matched cohorts were 67 cases each, PS difference < 0.1 probit SD, all covariates: size, neck, location, shape, angle, multiplicity, rupture history, age, and incorporated arterial branch. Follow-up DSA available for 94.2% of raw sample at median 9 months.</p><p><strong>Results: </strong>In both raw and matched samples respectively, FD versus EC demonstrated higher rates of target aneurysm total occlusion (76.4% vs 53.2%, p < 0.001 and 80.3% vs 49.2%, p < 0.001), lower of rates of intraoperative technical adverse events (7.3% vs 21.4%, p < 0.001 and 9% vs 22.4%, p = 0.032) and retreatment (raw‑2.6% vs 15.4%, p < 0.001, matched‑1.5% equal). Rates of neurological morbidity and death were similar. The choice of FD was triggered by neck size and ratio, paraophthalmic location (OR = 2.57), multiplicity (OR = 4.1) and incorporated arterial branch (OR = 4.82), p < 0.001. Incorporated branch was associated with incomplete occlusion in both treatment modalities (p < 0.01).</p><p><strong>Conclusion: </strong>In this study FD demonstrated higher rates of target aneurysm total occlusion, lower rates of intraoperative technical adverse events and similar rates of neurological morbidity and death, compared to EC.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143955754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}