Radiology最新文献

{"title":"Preoperative Diagnosis of Ipsilateral and Contralateral Breast Cancer: Role of Diffusion-weighted MRI.","authors":"Ha Jung Kim, Savannah C Partridge, JungBok Lee, Heera Yoen, Woo Kyung Moon, Su Min Ha","doi":"10.1148/radiol.242423","DOIUrl":"10.1148/radiol.242423","url":null,"abstract":"<p><p>Background The interpretation of the multiparametric MRI, which combines dynamic contrast-enhanced (DCE) MRI with diffusion-weighted imaging (DWI), has the potential to increase MRI diagnostic accuracy. Purpose To investigate and validate the potential of DWI with an apparent diffusion coefficient (ADC) cutoff in evaluating additional lesions detected at preoperative MRI in patients with breast cancer. Materials and Methods In this retrospective review, data from patients with additional lesions (Breast Imaging Reporting and Data System [BI-RADS] category 3 or higher) who underwent MRI between June 2019 and June 2021 were evaluated. Two breast radiologists independently evaluated additional enhanced lesions and measured the ADC values. The optimal ADC cutoff for downgrading lesions was determined according to the Youden index and was applied to a separate validation cohort. The efficacy of prespecified ADC values (1.53 × 10^-3 mm²/sec and 1.3 × 10^-3 mm²/sec) was investigated. Diagnostic performance was evaluated and compared using generalized estimating equations. Results Data from 219 patients (mean age, 50.8 years ± 10.2 [SD]) with 292 additional lesions were evaluated. The optimal ADC cutoff was 1.0 × 10^-3 mm²/sec, which, compared with that for DCE MRI alone, increased specificity (from 28.7% to 73.1%; <i>P</i> < .001) but decreased sensitivity (from 99.2% to 89.6%; <i>P</i> < .001) of MRI. In the validation cohort (104 patients, 133 additional lesions), 48 of 133 (36.1%) lesions were diagnosed as cancer, and applying the ADC cutoff derived from the development cohort increased specificity (from 21.2% to 68.2%; <i>P</i> < .001) but decreased sensitivity (from 97.9% to 83.3%; <i>P</i> = .01). For ipsilateral lesions, specificity increased (from 8.7% to 65.2%; <i>P</i> < .001), but the sensitivity did not decrease significantly (from 97.1% to 85.3%; <i>P</i> = .052). For contralateral lesions, similar performance improvements were observed for specificity (from 35.9% to 71.8%; <i>P</i> < .001), but a greater decrease in sensitivity was observed (from 100% to 78.6%; <i>P</i> < .001). Application of the prespecified ADC cutoffs achieved higher sensitivity values but smaller improvements in specificity. Conclusion The ADC cutoff based on MRI with DWI improved the performance of preoperative MRI in diagnosing additional lesions in patients with breast cancer. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Honda and Iima in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e242423"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12207650/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144258900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging the Treatment of Alzheimer Disease: 2030 Could Look Very Different.","authors":"Timothy M Shepherd","doi":"10.1148/radiol.251704","DOIUrl":"10.1148/radiol.251704","url":null,"abstract":"<p><p>\u0000 <i>\"Just Accepted\" papers have undergone full peer review and have been accepted for publication in <i>Radiology</i>. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content.</i>\u0000 </p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e251704"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144476501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved Understanding of False-Negative AI Mammographic Interpretation.","authors":"Lisa A Mullen","doi":"10.1148/radiol.251066","DOIUrl":"https://doi.org/10.1148/radiol.251066","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e251066"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144476502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrafast Breast MRI: Possibly Just a Diagnostic Compromise to Dynamic Contrast-Enhanced Imaging.","authors":"Claudia Cotes,Michael A Jacobs","doi":"10.1148/radiol.250746","DOIUrl":"https://doi.org/10.1148/radiol.250746","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 1","pages":"e250746"},"PeriodicalIF":19.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maximum Resection of Noncontrast-enhanced Tumor at MRI Is a Favorable Prognostic Factor in IDH Wild-Type Glioblastoma.","authors":"Hye Hyeon Moon,Doonyaporn Wongsawaeng Wave,Ji Eun Park,Seo Young Park,Seunghee Baek,Young-Hoon Kim,Sang Woo Song,Chang-Ki Hong,Jeong Hoon Kim,Myung Hwan Lee,Yae Won Park,Sung Soo Ahn,Jeffrey Michael Pollock,Ramon Francisco Barajas,Ho Sung Kim","doi":"10.1148/radiol.241393","DOIUrl":"https://doi.org/10.1148/radiol.241393","url":null,"abstract":"Background Isocitrate dehydrogenase (IDH) wild-type glioblastoma often includes a noncontrast-enhanced tumor (NET) component, and the extent of NET resection may serve as a prognostic marker. Purpose To assess clinical outcomes based on gross total resection (GTR) of NET, develop a real-world survival model incorporating GTR-NET for IDH wild-type glioblastoma, and validate the findings in multinational external cohorts. Materials and Methods A retrospective analysis included patients with IDH wild-type glioblastoma in a prospective registry (March 2017 to October 2020) as the training set. External validation used consecutive patients from two centers (March 2017 to January 2023). Patients were stratified into three groups: GTR-NET, GTR in contrast-enhanced tumor (CET) only, and no GTR. A conditional inference tree (CIT) model was developed using GTR type, age, and O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status to predict overall survival (OS) and was externally validated. Kaplan-Meier analysis, log-rank test, time-dependent area under the receiver operating characteristic curve, and Harrell C-indexes were used for evaluation. Results In the training set (n = 201; mean age, 60 years ± 11.3; 109 males), four survival groups were identified. GTR-NET was associated with longer OS (median, 32.6 months; IQR, 18.7-46.7 months; P < .001). When GTR-NET was not achieved, OS was stratified as follows: younger than age 60 years (median OS, 23.4 months; IQR, 12.2-34.8 months), age 60 years or older and positive for MGMT (median OS, 19.1 months; IQR, 13.0-27.8 months), and age 60 years or older and negative for MGMT (median OS, 10.7 months; IQR, 6.5-14.1 months). External validation sets (352 patients in external validation set 1 and 60 patients external validation set 2) confirmed these groups (P < .001 and P = .04). Time-dependent areas under the receiver operating characteristic curve ranged from 0.684 (95% CI: 0.623, 0.745) to 0.694 (95% CI: 0.631, 0.758) and from 0.610 (95% CI: 0.449, 0.771) to 0.678 (95% CI: 0.512, 0.844), with CIT sensitivity for GTR-NET at 70.7%-77.3% and 87.6%-87.9% and C-indexes of 0.65 and 0.63. Conclusion A GTR-NET-based survival model was developed and validated, demonstrating that GTR-NET is an independent prognostic marker for longer OS in IDH-wildtype glioblastoma. ClinicalTrials.gov identifier: NCT02619890 © RSNA, 2025 Supplemental material is available for this article.","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"9 1","pages":"e241393"},"PeriodicalIF":19.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intraindividual Comparison of Ultrafast versus Standard Two-dimensional Dynamic Contrast-enhanced Breast MRI.","authors":"Maike Bode,Stephanie Morscheid,Elene Iordanishvili,Luisa C Huck,Shuo Zhang,Teresa Lemainque,Christiane K Kuhl","doi":"10.1148/radiol.241371","DOIUrl":"https://doi.org/10.1148/radiol.241371","url":null,"abstract":"Background Ultrafast breast MRI promises to improve conspicuity of cancers by avoiding masking due to background parenchymal enhancement (BPE) and to improve classification of enhancing lesions. However, published studies systematically penalized standard dynamic contrast-enhanced (DCE) MRI because they integrated ultrafast MRI into existing DCE protocols, such that postcontrast acquisitions of DCE MRI began only after completion of ultrafast MRI. Purpose To perform an intraindividual comparison of conspicuity and classification of enhancing breast lesions with ultrafast MRI versus standard DCE MRI, where both methods included the early postcontrast phase. Materials and Methods This was a retrospective analysis of 31 women (median age, 48 years [IQR, 39-51 years]) from September 2021 to January 2023. Women underwent DCE MRI at 1.5 T and, within 2 days, a second contrast-enhanced examination using ultrafast MRI, for further diagnostic assessment of difficult-to-interpret enhancing lesions and/or BPE. For DCE MRI, a two-dimensional gradient-echo series (0.61 × 0.61 × 3.0-mm spatial resolution, 60 seconds per dynamic frame) was obtained once before and four times after injection of 0.1 mmol/kg gadobutrol. For ultrafast MRI, a compressed-sense accelerated three-dimensional gradient-echo series (0.92 × 0.97 × 2.5-mm spatial resolution, 4 seconds per keyhole dynamic frame) was obtained over 90 seconds before, during, and after injection of 0.1 mmol/kg gadobutrol. Two breast radiologists independently rated BPE, image quality, and conspicuity and morphology of enhancing lesions, and enhancement kinetics were analyzed (ultrafast MRI: maximum slope and time to enhancement; DCE MRI: wash-in rate and time course pattern). Results A total 59 enhancing lesions were reported in the 62 breasts of the 31 patients. BPE ratings were on average 0.8 points lower at ultrafast versus DCE MRI (mean, 2.5 ± 1.2 [SD] vs 3.3 ± 1.2; P < .001). Despite this mild reduction in BPE, lesion conspicuity was rated lower at ultrafast than at DCE MRI (mean, 3.5 ± 1.3 vs 4.1 ± 1.0; P = .001), as was image quality (mean, 2.3 ± 0.9 vs 4.1 ± 0.8; P < .001). Lesion morphology (shape, margin, internal architecture) was less assessable at ultrafast MRI (all P < .05). Kinetic parameters derived from ultrafast MRI did not improve classification of enhancing lesions compared with those derived from DCE MRI: At ultrafast MRI, time to enhancement was shorter for malignant versus benign lesions (P = .01), but maximum slope did not differ, whereas at DCE MRI, both wash-in rate and time course pattern differed between malignant and benign lesions (both P = .01). Conclusion In this enriched cohort in which ultrafast MRI was expected to provide diagnostic advantages over DCE MRI, ultrafast MRI in fact led to reduced lesion conspicuity and did not improve lesion classification. © RSNA, 2025 Supplemental material is available for this article. See also the editorial by Cotes and Jacobs in this issue.","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"115 1","pages":"e241371"},"PeriodicalIF":19.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Case 337: Venous Vascular Malformation.","authors":"Brian H Mu, Faris Galambo, Hadeer W Al-Ali, Sumeet G Dua, Chanae D Dixon, Xinhai R Zhang, Mustafa A Mafraji","doi":"10.1148/radiol.241910","DOIUrl":"https://doi.org/10.1148/radiol.241910","url":null,"abstract":"<p><strong>History: </strong>A 38-year-old previously healthy male patient presented with left-sided facial pain over the prior 5 weeks. He first noticed the pain while washing and applying pressure to his face. The pain was described as shock-like, sharp and shooting, and radiating along the left cheek and temple. It began as 1-2-second episodes occurring two to three times per day, sometimes spontaneously, progressing in severity and frequency over time. Mild progressive left facial weakness also developed a few weeks after initial symptoms. Physical examination demonstrated reproducible pain in the distribution of the maxillary division of the trigeminal nerve (V2), with normal motor and sensory function. A recent routine dental examination demonstrated healthy teeth and gums, and there was no history of dental procedures or trauma. The rest of the physical and neurologic examinations revealed no abnormalities. The patient was afebrile with normal vital signs. Findings of routine laboratory testing, including complete blood count, metabolic panel with electrolytes, kidney and liver function, and inflammatory markers such as C-reactive protein, were all within normal limits. Following the neurologic and otolaryngologic evaluations, imaging was recommended. The patient was also started on treatment with carbamazepine for trigeminal neuralgia, with modest improvement of symptoms. He initially underwent MRI of the temporal bones at an outside hospital. After subsequent referral to our hospital, follow-up concomitant MRI and CT were performed approximately 3 months after the initial imaging.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e241910"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144151317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomic Parenchymal Phenotypes of Breast Texture from Mammography and Association with Risk of Breast Cancer.","authors":"Stacey J Winham, Anne Marie McCarthy, Christopher G Scott, Aimilia Gastounioti, Hannah Horng, Aaron D Norman, Walter C Mankowski, Lauren Pantalone, Matthew R Jensen, Raymond J Acciavatti, Andrew D A Maidment, Eric A Cohen, Kathleen R Brandt, Emily F Conant, Karla M Kerlikowske, Despina Kontos, Celine M Vachon","doi":"10.1148/radiol.240281","DOIUrl":"10.1148/radiol.240281","url":null,"abstract":"<p><p>Background Parenchymal phenotypes reflect the intrinsic heterogeneity of both tissue structure and distribution on mammograms. Purpose To define parenchymal phenotypes on the basis of radiomic texture features derived from full-field digital mammography (FFDM) in breast screening populations and assess associations of parenchymal phenotypes with future risk of breast cancer and masking (false-negative [FN] findings or interval cancers), beyond breast density, and by race and ethnicity Materials and Methods A two-stage study design included a retrospective cross-sectional study of 30 000 randomly selected women with four-view FFDM (mean age, 57.4 years) and a nested case-control study of 1055 women with invasive breast cancer (151 Black and 893 White women) matched to 2764 women without breast cancer (411 Black and 2345 White women) (mean age, 60.4 years) sampled from April 2008 to September 2019 from three diverse breast screening practices. Radiomic features (<i>n</i> = 390) were extracted and standardized using an automated pipeline and adjusted for age and practice. Variation was classified using hierarchical clustering and principal component (PC) analysis. The resulting clusters and PCs were examined for association with invasive breast cancer risk, FN findings on mammograms, and symptomatic interval cancers beyond radiologist-reported Breast Imaging Reporting and Data System (BI-RADS) breast density using conditional logistic regression and likelihood ratio tests. Discrimination for breast cancer was assessed with area under the receiver operating characteristic curve (AUC). Results Six clusters and six PCs were defined, replicated, and associated with a higher risk of invasive breast cancer (<i>P</i> = .01 and <i>P</i> < .001, respectively) after adjustment for age, body mass index (calculated as weight in kilograms divided by height in meters squared), and BI-RADS breast density. PCs showed similar associations among Black and White women (<i>P</i> = .23). PCs were also positively associated with FN findings (<i>P</i> = .004) and symptomatic interval cancers (<i>P</i> = .006). AUC improved for all breast cancer end points when incorporating PCs, with the greatest improvement shown in prediction of FN findings (AUC with vs without PCs, 0.73 [95% CI: 0.68, 0.78] vs 0.66 [95% CI: 0.61, 0.71] , respectively; <i>P</i> = .004) and symptomatic interval cancers (AUC with vs without PCs, 0.77 [95% CI: 0.71, 0.82] vs 0.68 [95% CI: 0.62, 0.74], respectively; <i>P</i> = .006). Conclusion Parenchymal phenotypes based on radiomic features extracted from FFDM were associated with a higher risk of invasive breast cancer, specifically for FN findings and symptomatic interval cancer. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Mesurolle and El Khoury in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e240281"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127954/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk of Malignancy in Cystic Lung Lesions in a Lung Cancer CT Screening Program.","authors":"Suzanne C Byrne, Andetta R Hunsaker, Mark M Hammer","doi":"10.1148/radiol.243166","DOIUrl":"10.1148/radiol.243166","url":null,"abstract":"<p><p>Background There is currently a lack of consensus regarding the risk of malignancy and the natural history of cystic lung lesions. Purpose To evaluate imaging characteristics associated with the risk of malignancy of cystic lung lesions in a lung cancer screening program. Materials and Methods This retrospective study included all CT lung cancer screening examinations performed from January 2015 to July 2023 in a large health care network. Radiology reports were queried for cystic lesions. Baseline CT images were reviewed, and lesion morphologic characteristics and size were recorded. All follow-up CT scans were evaluated for changes in the lesion. The risk of growth and diagnosis of cancer over time were analyzed with Kaplan-Meier curves. Results Among 15 762 patients, 235 were found to have cystic lung lesions; 33 (14%) of these patients were diagnosed with lung cancer arising from the cystic lesion. Increased risk of cancer was associated with nodular wall thickening (odds ratio [OR], 11; <i>P</i> = .002) and presence of a solid nodule (OR, 5.3; <i>P</i> < .001) alone or in combination with a ground-glass component (OR, 24; <i>P</i> < .001). Multilocularity was not associated with an increased risk of cancer (OR, 1.7; <i>P</i> > .2). There were no cases of malignancy in unilocular cystic lesions without wall thickening (<i>n</i> = 46). Lesion growth or increase in complexity over time was associated with an increased risk of malignancy (<i>P</i> < .001). The median time to lesion growth was 636 days. The median time to cancer diagnosis was 482 days, and 28 (85%) of the cancers were stage 0 or I. Conclusion Cystic lung lesions with nodular wall thickening had an increased risk of malignancy. Conversely, unilocular lesions without wall thickening had essentially no risk of malignancy. Most malignant cystic lung lesions exhibited indolent behavior, with slow growth and diagnosis at early stages. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Zagurovskaya in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e243166"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127957/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum for: MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.","authors":"Christopher O Lew, Longfei Zhou, Maciej A Mazurowski, P Murali Doraiswamy, Jeffrey R Petrella","doi":"10.1148/radiol.259008","DOIUrl":"10.1148/radiol.259008","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e259008"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144151484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}