Ultrasonography最新文献

{"title":"Intelligent handheld ultrasound improving the ability of non-expert general practitioners in carotid examinations for community populations: a prospective and parallel controlled trial.","authors":"Pei Sun, Hong Han, Yi-Kang Sun, Xi Wang, Xiao-Chuan Liu, Bo-Yang Zhou, Li-Fan Wang, Ya-Qin Zhang, Zhi-Gang Pan, Bei-Jian Huang, Hui-Xiong Xu, Chong-Ke Zhao","doi":"10.14366/usg.24172","DOIUrl":"10.14366/usg.24172","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations.</p><p><strong>Methods: </strong>This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits.</p><p><strong>Results: </strong>Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01).</p><p><strong>Conclusion: </strong>Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"112-123"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938801/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384081","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":"Thrombus stiffness as an independent predictor of endovascular treatment success in hemodialysis fistulas: a study using ultrasound elastography.","authors":"Sarhun Zirek, Gökhan Mert Özyurt, Alptuğ Özen, Refik Olmaz, Kaan Esen","doi":"10.14366/usg.24175","DOIUrl":"10.14366/usg.24175","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to evaluate the prognostic value of thrombus stiffness, measured by strain elastography, in independently predicting the success of endovascular treatment for thrombosed hemodialysis fistulas.</p><p><strong>Methods: </strong>The study employed a retrospective observational design. Forty-nine patients with chronic kidney disease undergoing hemodialysis and experiencing fistula dysfunction were included. Various factors were evaluated, including patient age, sex, comorbidities, arteriovenous fistula (AVF) type, use of antiplatelet agents, duration of thrombosed AVF dysfunction, thrombus length, thrombus stiffness, and thrombus strain ratio (SR). Thrombus stiffness was measured using strain ultrasound elastography.</p><p><strong>Results: </strong>The presence of comorbidities (P=0.018), duration of AVF dysfunction due to thrombosis (P=0.005), thrombus stiffness (P<0.001), and thrombus SR (P<0.001) were statistically significant predictors of treatment success, while other factors were not. Thrombus stiffness and SR, assessed by two independent radiologists with excellent inter-reader agreement, demonstrated high reliability. The optimal SR cut-off for treatment success was 1.4 (sensitivity, 0.947; specificity, 0.901; area under the curve, 0.935). Multivariable logistic regression analysis revealed that both thrombus SR and thrombus stiffness significantly influenced treatment outcomes (P=0.003 and P=0.007, respectively). A 0.1-unit increase in thrombus SR was associated with 9.37% reduction in the likelihood of treatment success, while a smilar increase in thrombus stiffness exhibited an 8.06% reduction, underscoring their importance as prognostic factors in clinical setting.</p><p><strong>Conclusion: </strong>This study demonstrates the utility of strain ultrasound elastography in assessing thrombus stiffness in thrombosed hemodialysis AVFs and its correlation with treatment success.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":"44 2","pages":"153-159"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938795/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143607031","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":"Utilization of artificial intelligence to triage patients with delayed follow-up of probably benign breast ultrasound findings.","authors":"Tali Amir, Kristen Coffey, Jeffrey S Reiner, Varadan Sevilimedu, Victoria L Mango","doi":"10.14366/usg.24206","DOIUrl":"10.14366/usg.24206","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to evaluate our institution's experience in using artificial intelligence (AI) decision support (DS) as part of the clinical workflow to triage patients with Breast Imaging Reporting and Data System (BI-RADS) 3 sonographic lesions whose follow-up was delayed during the coronavirus disease 2019 (COVID-19) pandemic, against subsequent imaging and/or pathologic follow-up results.</p><p><strong>Methods: </strong>This retrospective study included patients with a BI-RADS category 3 (i.e., probably benign) breast ultrasound assessment from August 2019-December 2019 whose follow-up was delayed during the COVID-19 pandemic and whose breast ultrasounds were re-reviewed using Koios DS Breast AI as part of the clinical workflow for triaging these patients. The output of Koios DS was compared with the true outcome of a presence or absence of breast cancer defined by resolution/stability on imaging follow-up for at least 2 years or pathology results.</p><p><strong>Results: </strong>The study included 161 women (mean age, 52 years) with 221 BI-RADS category 3 sonographic lesions. Of the 221 lesions, there were two confirmed cancers (0.9% malignancy rate). Koios DS assessed 112/221 lesions (50.7%) as benign, 42/221 lesions (19.0%) as probably benign, 64/221 lesions (29.0%) as suspicious, and 3/221 lesions (1.4%) as probably malignant. Koios DS had a sensitivity of 100% (2/2; 95% confidence interval [CI], 16% to 100%), specificity of 70% (154/219; 95% CI, 64% to 76%), negative predictive value of 100% (154/154; 95% CI, 98% to 100%), and false-positive rate of 30% (65/219; 95% CI, 24% to 36%).</p><p><strong>Conclusion: </strong>When many follow-up appointments are delayed, e.g., natural disaster, or scenarios where resources are limited, breast ultrasound AI DS can help triage patients with probably benign breast ultrasounds.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"145-152"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938796/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143451043","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":"Ultrasound-based radiogenomics: status, applications, and future direction.","authors":"Si-Rui Wang, Yu-Ting Shen, Bin Huang, Hui-Xiong Xu","doi":"10.14366/usg.24152","DOIUrl":"10.14366/usg.24152","url":null,"abstract":"<p><p>Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"95-111"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938802/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143400753","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":"Improving breast ultrasonography education: the impact of AI-based decision support on the performance of non-specialist medical professionals.","authors":"Sangwon Lee, Hye Sun Lee, Eunju Lee, Won Hwa Kim, Jaeil Kim, Jung Hyun Yoon","doi":"10.14366/usg.24171","DOIUrl":"10.14366/usg.24171","url":null,"abstract":"<p><strong>Purpose: </strong>This study evaluated the educational impact of an artificial intelligence (AI)-based decision support system for breast ultrasonography (US) on medical professionals not specialized in breast imaging.</p><p><strong>Methods: </strong>In this multi-case, multi-reader study, educational materials, including American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) descriptors, were provided alongside corresponding AI results during training. The AI system presented results in the form of AIheatmaps, AI scores, and AI-provided BI-RADS assessment categories. Forty-two readers evaluated the test set in three sessions: the first session (S1) occurred before the educational intervention, the second session (S2) followed education without AI assistance, and the third session (S3) took place after education with AI assistance. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and overall performance, were compared between the sessions.</p><p><strong>Results: </strong>The mean sensitivity increased from 66.5% (95% confidence interval [CI], 59.2% to 73.7%) to 88.7% (95% CI, 84.1% to 93.3%), with a statistically significant difference (P<0.001), and the AUC non-significantly increased from 0.664 (95% CI, 0.606 to 0.723) to 0.684 (95% CI, 0.620 to 0.748) (P=0.300). Both measures were higher in S2 than in S1. The AI-achieved AUC was comparable to that of the expert reader (0.747 [95% CI, 0.640 to 0.855] vs. 0.803 [95% CI, 0.706 to 0.900], P=0.217). Additionally, with AI assistance, the mean AUC for inexperienced readers was not significantly different from that of the expert reader (0.745 [95% CI, 0.660 to 0.830] vs. 0.803 [95% CI, 0.706 to 0.900], P=0.120).</p><p><strong>Conclusion: </strong>The mean AUC and sensitivity improved after incorporating AI into breast US education and interpretation. AI systems with high-level performance for breast US can potentially be used as educational tools in the interpretation of breast US images.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"124-133"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938798/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384078","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":"Novel non-invasive and quantitative assessment of the renal function of transplanted kidneys using Doppler ultrasonography with the vascular index of superb microvascular imaging.","authors":"Sung Hwan Bae, Eun Ji Lee, Jiyoung Hwang, Seong Sook Hong, Yun-Woo Chang, Boda Nam","doi":"10.14366/usg.24176","DOIUrl":"10.14366/usg.24176","url":null,"abstract":"<p><strong>Purpose: </strong>This study assessed the reproducibility and clinical value of the vascular index (VI), derived from superb microvascular imaging (SMI) using Doppler ultrasonography, for evaluating renal function in transplanted kidneys.</p><p><strong>Methods: </strong>This retrospective study included 63 renal transplant patients who underwent grayscale and Doppler ultrasonography with SMI from January 2022 to February 2023. The VI of the transplanted kidneys was measured using three methods (VIbox, VIF1, VIF2). The VI was compared across chronic kidney disease (CKD) groups categorized by estimated glomerular filtration rate (eGFR) and Kidney Disease: Improving Global Outcomes (KDIGO) CKD risk groups based on eGFR and albuminuria. The correlation between VI and renal function was evaluated. Univariate and multivariate linear regression analyses were used to identify predictors of eGFR.</p><p><strong>Results: </strong>Significant differences in VI were observed among CKD groups based on eGFR (VIbox, P=0.001; VIF1, P<0.001; VIF2, P<0.001) and KDIGO CKD groups based on eGFR and albuminuria (VIbox, P=0.039; VIF1, P=0.001; VIF2, P<0.001). VIF1 and VIF2 demonstrated moderate/high correlations with eGFR (r=0.627, P<0.001 and r=0.657, P<0.001, respectively) and serum creatinine (r=-0.626, P<0.001 and r=-0.649, P<0.001, respectively). VIbox moderately correlated with eGFR (r=0.445, P<0.001). Multivariate regression identified the urine albumincreatinine ratio (ACR) (adjusted odds ratio [aOR], 1.122; 95% confidence interval [CI], -0.007 to, 0.000; P=0.030) and VIF2 (aOR, 1.114; 95% CI, 0.466 to 1.235; P<0.001) were independently associated with eGFR.</p><p><strong>Conclusion: </strong>The VI measured by drawing a region of interest along the border of the transplanted kidney in SMI (VIF2) is highly reproducible and correlates well with eGFR. Both VIF2 and ACR independently predict eGFR.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":"44 2","pages":"160-169"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938797/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143607011","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":"Ultrasound-guided attenuation parameter for identifying metabolic dysfunction-associated steatotic liver disease: a prospective study.","authors":"Yun-Lin Huang, Chao Sun, Ying Wang, Juan Cheng, Shi-Wen Wang, Li Wei, Xiu-Yun Lu, Rui Cheng, Ming Wang, Jian-Gao Fan, Yi Dong","doi":"10.14366/usg.24204","DOIUrl":"10.14366/usg.24204","url":null,"abstract":"<p><strong>Purpose: </strong>This study assessed the performance of the ultrasound-guided attenuation parameter (UGAP) in diagnosing and grading hepatic steatosis in patients with metabolic dysfunctionassociated steatotic liver disease (MASLD). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) served as the reference standard.</p><p><strong>Methods: </strong>Patients with hepatic steatosis were enrolled in this prospective study and underwent UGAP measurements. MRI-PDFF values of ≥5%, ≥15%, and ≥25% were used as references for the diagnosis of steatosis grades ≥S1, ≥S2, and S3, respectively. Spearman correlation coefficients and area under the receiver operating characteristic curves (AUCs) were calculated.</p><p><strong>Results: </strong>Between July 2023 and June 2024, the study included 88 patients (median age, 40 years; interquartile range [IQR], 36 to 46 years), of whom 54.5% (48/88) were men and 45.5% (40/88) were women. Steatosis grades exhibited the following distribution: 22.7% (20/88) had S0, 50.0% (44/88) had S1, 21.6% (19/88) had S2, and 5.7% (5/88) had S3. The success rate for UGAP measurements was 100%. The median UGAP value was 0.74 dB/cm/MHz (IQR, 0.65 to 0.82 dB/ cm/MHz), and UGAP values were positively correlated with MRI-PDFF (r=0.77, P<0.001). The AUCs of UGAP for the diagnoses of ≥S1, ≥S2, and S3 steatosis were 0.91, 0.90, and 0.88, respectively. In the subgroup analysis, 98.4% (60/61) of patients had valid controlled attenuation parameter (CAP) values. UGAP measurements were positively correlated with CAP values (r=0.65, P<0.001).</p><p><strong>Conclusion: </strong>Using MRI-PDFF as the reference standard, UGAP demonstrates good diagnostic performance in the detection and grading of hepatic steatosis in patients with MASLD.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"134-144"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143400701","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":"Erratum: Comprehensive ultrasonographic evaluation of normal and fibrotic kidneys in a mouse model with an ultra-highfrequency transducer.","authors":"Myoung Seok Lee, Jeong Yeon Cho, Min Hoan Moon, Jeonghwan Lee, Jung Pyo Lee, Nayeon Shin, Wencheng Jin, Ara Cho","doi":"10.14366/usg.24024.ER","DOIUrl":"10.14366/usg.24024.ER","url":null,"abstract":"","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":"44 1","pages":"92-93"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717684/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958574","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":"Shaping the future of Ultrasonography: bimonthly publication and global growth.","authors":"Jung-Eun Cheon","doi":"10.14366/usg.24221","DOIUrl":"10.14366/usg.24221","url":null,"abstract":"","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":"44 1","pages":"1-2"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717681/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958592","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":"Posterior subependymal germinal matrix hemorrhage as a mild form of hemorrhage in extremely preterm infants: neurodevelopmental outcomes at corrected ages of 18-24 months.","authors":"Jae Mo Koo, So-Young Yoo, Ji Hye Kim, Ji Eun Park, Sun-Young Baek, Tae Yeon Jeon","doi":"10.14366/usg.24110","DOIUrl":"10.14366/usg.24110","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to explore the effects of both the presence and size of posterior subependymal germinal matrix hemorrhage (PS-GMH), considered a mild form of hemorrhage, on the neurodevelopmental outcomes of extremely preterm infants.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on 221 extremely preterm infants, assessing their initial and term-equivalent age (TEA) cranial ultrasound (cUS) examinations from 2016 to 2021. Infants were classified based on the presence and size (small/large) of PS-GMH. Neurodevelopmental outcomes at corrected ages of 18-24 months were analyzed in 135 infants.</p><p><strong>Results: </strong>PS-GMH was identified in 86.9% (192/221) of the infants, with 13.5% (26/192) exhibiting large PS-GMH. Among the 135 infants who were followed up, those with PS-GMH were found to have younger gestational ages (P<0.001) and a higher incidence of maternal chorioamnionitis (P=0.016) than those without PS-GMH. Significant differences were observed in the incidence of grade II intraventricular hemorrhage (IVH) on initial cUS (P=0.003) and ventriculomegaly at TEA cUS (P=0.026) across the groups with no PS-GMH, small PS-GMH, and large PS-GMH. The large PS-GMH group exhibited a higher occurrence of grade II IVH than the small PS-GMH group (P=0.006). However, ventriculomegaly incidence did not significantly vary with PS-GMH status. Neurodevelopmental outcomes were also not significantly different across PS-GMH statuses. The adjusted odds ratios for any neurodevelopmental impairment, compared to the no PS-GMH group, were 1.70 (95% confidence interval [CI], 0.40 to 7.26; P=0.471) for all PS-GMH, 1.61 (95% CI, 0.37 to 6.93; P=0.526) for small PS-GMH, and 3.84 (95% CI, 0.62 to 24.00; P=0.150) for large PS-GMH.</p><p><strong>Conclusion: </strong>PS-GMH was frequently observed in extremely preterm infants; however, it did not independently predict adverse neurodevelopmental outcomes.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"48-61"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717686/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142632447","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}