Ultrasound Quarterly最新文献

Objective Analysis of Predictive Value of Ultrasound Quantitative Scoring System for Treatment Method Selection in Cesarean Scar Pregnancy. 客观分析超声定量评分系统对剖宫产瘢痕妊娠治疗方法选择的预测价值

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-08-26 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000690

Jieying Zhang, Yingying Liu, Hui Wan, Yue Lu, Yanli Xin, Jianwen Du, Hong Wang

{"title":"Objective Analysis of Predictive Value of Ultrasound Quantitative Scoring System for Treatment Method Selection in Cesarean Scar Pregnancy.","authors":"Jieying Zhang, Yingying Liu, Hui Wan, Yue Lu, Yanli Xin, Jianwen Du, Hong Wang","doi":"10.1097/RUQ.0000000000000690","DOIUrl":"10.1097/RUQ.0000000000000690","url":null,"abstract":"Abstract: This study aimed to explore the feasibility of using the ultrasound quantitative scoring system to guide the selection of surgical methods for a cesarean scar ectopic pregnancy (CSEP). A retrospective analysis was conducted of the medical records of 117 cases of patients with a CSEP. All patients underwent transvaginal ultrasound examination before treatment, and the ultrasound results were compared with the results of surgical exploration. The treatment methods that were delivered for the 2 patient groups with CSEP were analyzed, and agreement between the predicted and actual treatment protocols was tested using the kappa consistency test. Residual myometrial thickness at the scar site was mainly concentrated above 3 mm in the low-risk group, with 70 cases accounting for 76.9%, while in the high-risk group, this was primarily in the range of 1-3 mm with 18 cases accounting for 69.2%. The grading of nourishing blood supply to the gestational sac showed that 96.7% of patients in the low-risk group had Grade I and Grade II blood flow, while 84.6% of the high-risk group had Grade I and Grade II blood flow; Grade II blood flow was predominant in the high-risk group. The majority of patients in both the low- and high-risk groups experienced intraoperative blood loss of ≤50 mL (93.9% vs 80.6%, respectively). The consistency test between the actual and predicted treatment methods yielded a kappa coefficient of 0.644, indicating consistency between the two. For patients with CSEP in the low-risk group (score <4), the ultrasound quantitative scoring system could provide individualized assessment and offer clinically valuable treatment protocols.","PeriodicalId":49116,"journal":{"name":"Ultrasound Quarterly","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142074338","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}

引用次数: 0

Role of Combining Grayscale Findings With Superb Microvascular Imaging and Shear Wave Elastography in Standardization and Management of NON-MASS Breast Lesions. 将灰度结果与超微血管成像和剪切波弹性成像相结合在非质量乳腺病变的标准化和管理中的作用。

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-08-22 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000689

Seda Aladag Kurt, Fusun Taskin, Yasemin Kayadibi, Tulin Ozturk, İbrahim Adaletli, Gul Esen Icten

{"title":"Role of Combining Grayscale Findings With Superb Microvascular Imaging and Shear Wave Elastography in Standardization and Management of NON-MASS Breast Lesions.","authors":"Seda Aladag Kurt, Fusun Taskin, Yasemin Kayadibi, Tulin Ozturk, İbrahim Adaletli, Gul Esen Icten","doi":"10.1097/RUQ.0000000000000689","DOIUrl":"10.1097/RUQ.0000000000000689","url":null,"abstract":"Abstract: The non-mass breast lesions on ultrasound (US) are a group of challenging pathology. We aimed to standardize these grayscale findings and investigate the effectiveness of superb microvascular imaging (SMI) and shear wave elastography (SWE). A total of 195 lesions were evaluated by B-mode US, SWE, and SMI in the same session. A \"NON-MASS model\" was built on grayscale US to group the lesions only as areas and those with associated features: microcalcifications, architectural distortion, ductal changes, and microcysts. The mean stiffness parameters Emean, Eratio, and mean vascular index (VI) were recorded following consecutive measurements. Besides, the microvascularity was graded based on Adler's classification (grades 0 to 3). Lesions were divided into 3 groups: benign, category B3, and malignant. One hundred twelve (57.4%) lesions were benign, 23 (11.8%) were B3, and 60 were (30.8%) in the malignant category. Thirty-eight (19.5%) lesions were observed only as an area, whereas associated features were present in 157 lesions (80.5%). Distortion was the only associated feature predicting malignancy among the grayscale findings (P < 0.001). There was a significant difference between malignant and nonmalignant (benign and B3) groups in terms of Adler's grade, Emean, Eratio, and VI values (P < 0.001). Sensitivity, specificity, and accuracy increased when advanced imaging parameters were added to grayscale findings (P < 0.001). In the presence of microcalcifications, architectural distortion, high elasticity, and hypervascularity in the \"NON-MASS\" imaging model, the suspicion of malignancy increases. The non-mass findings and advanced imaging techniques have the potential to find greater coverage in the following versions of BI-RADS atlas.","PeriodicalId":49116,"journal":{"name":"Ultrasound Quarterly","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037487","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}

引用次数: 0

Nonvisualized Ovaries on Ultrasound: Correlation With Surgical Pathology. 超声检查中未显示的卵巢：与手术病理学的相关性

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-08-22 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000691

Ahmad Alhamshari, Hannah R Krigman, Cary L Siegel, Quing Zhu, Malak Itani

{"title":"Nonvisualized Ovaries on Ultrasound: Correlation With Surgical Pathology.","authors":"Ahmad Alhamshari, Hannah R Krigman, Cary L Siegel, Quing Zhu, Malak Itani","doi":"10.1097/RUQ.0000000000000691","DOIUrl":"10.1097/RUQ.0000000000000691","url":null,"abstract":"Abstract: The risk of malignancy in nonvisualized ovaries on pelvic ultrasound is presumed to be close to zero per imaging correlation; the goal of this manuscript is to define the risk of malignancy in nonvisualized ovaries on pelvic ultrasound as defined by surgical pathology. Records for patients with pelvic ultrasound and surgical pathology containing the word \"ovary\" or \"ovaries\" performed at our institution between 10/1/2015 and 9/30/2021 were reviewed. Data for ovarian visualization were extracted from the radiology report and correlated with surgical pathology results within each ovary. Eighty-seven ovaries in 71 patients out of 422 ovaries (20.6%) in 215 eligible patients were not visualized on ultrasound. Twenty ovaries were excluded because imaging showed large pelvic mass, and 19 ovaries were excluded because surgical pathology for the ovary of interest was not available. A total of 48 ovaries in 37 patients were nonvisualized and had available surgical pathology. Out of 48 nonvisualized ovaries, 31 were normal on surgical pathology and 17 had abnormalities, with 15 benign lesions (12 of which were ≤1 cm in size). Two ovaries in 1 patient contained malignant lesions; although the ovaries were not visualized on ultrasound, the scan demonstrated peritoneal carcinomatosis. In conclusion, a high proportion of ovaries (20.6%, 87/422) are not visualized on pelvic ultrasound, and surgical pathology reveals ovarian lesions in 35.4% (17/48) of nonvisualized ovaries on pelvic ultrasound, with the majority being subcentimeter benign lesions. In the absence of peritoneal carcinomatosis, nonvisualized ovaries had no malignant lesions.","PeriodicalId":49116,"journal":{"name":"Ultrasound Quarterly","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142074337","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}

引用次数: 0

Reliability of a 2D-Panoramic Ultrasound System for the Determination of Muscle Volume in Older Hospitalized Patients. 二维全景超声系统测定老年住院患者肌肉体积的可靠性

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-08-08 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000688

Anne Sophie Boureau, Sylvain Anger, Christophe Cornu, Marie Mathieu, Gilles Berrut, Antoine Nordez

{"title":"Reliability of a 2D-Panoramic Ultrasound System for the Determination of Muscle Volume in Older Hospitalized Patients.","authors":"Anne Sophie Boureau, Sylvain Anger, Christophe Cornu, Marie Mathieu, Gilles Berrut, Antoine Nordez","doi":"10.1097/RUQ.0000000000000688","DOIUrl":"10.1097/RUQ.0000000000000688","url":null,"abstract":"Abstract: Reliability of muscle thickness assessed in B-mode ultrasound has been confirmed in adults but remains a less direct assessment of muscle mass than muscle volume (MV). The aim of this prospective monocentric study was to assess the interday reliability of MV determined by the 2D-panoramic ultrasound in older hospitalized patients.Ten participants hospitalized in geriatric ward (mean age = 84) underwent 2 sessions of panoramic ultrasound scanning 1 week apart for MV assessment and DXA for leg lean mass (LLM) assessment when it was possible. The interday reliability of MV assessed using the intraclass correlation coefficient (ICC) was excellent, whatever was the muscle analyzed: ICC = 0.99 for tibialis anterior; ICC = 0.99 for vastus lateralis; ICC = 1 for rectus femoris. The pilot analysis of its association with leg lean mass revealed a good association between the vastus lateralis MV and LLM, but this needs to be confirmed on a larger number of participants (Pearson correlation coefficient = 0.91, P = 0.03).The 2D-panoramic ultrasound system for the determination of MV was reliable in older hospitalized patients with measurements performed on the patient's bed. MV seemed to be more correlated to LLM than muscle thickness. Future research will need to reduce the data processing time maybe with automation of data measurement.","PeriodicalId":49116,"journal":{"name":"Ultrasound Quarterly","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019302","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}

引用次数: 0

Pediatric Cranial Ultrasound Revisited: A Comprehensive Review. 重温小儿头颅超声：全面回顾。

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-07-10 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000684

Edward J Richer, Erica L Riedesel

引用次数: 0

The Application Value of Using Semiquantitative and Quantitative Parameters in Multimodal Ultrasound to Distinguish Between Benign and Malignant BI-RADS 4 Lesions. 在多模态超声中使用半定量和定量参数区分良性和恶性 BI-RADS 4 病变的应用价值。

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-07-05 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000686

Xi Dai, Xiao-Yu Zhou, Piao-Fei Chen, Zhe-Li Gong, Zhi-Ping Wang, Di Wang

{"title":"The Application Value of Using Semiquantitative and Quantitative Parameters in Multimodal Ultrasound to Distinguish Between Benign and Malignant BI-RADS 4 Lesions.","authors":"Xi Dai, Xiao-Yu Zhou, Piao-Fei Chen, Zhe-Li Gong, Zhi-Ping Wang, Di Wang","doi":"10.1097/RUQ.0000000000000686","DOIUrl":"10.1097/RUQ.0000000000000686","url":null,"abstract":"Abstract: This study aims to explore the value of real-time strain elastography (RTE) and contrast-enhanced ultrasonography (CEUS) in the diagnosis of breast BI-RADS 4 lesions. It collected 85 cases (totaling 85 lesions) diagnosed with breast BI-RADS 4 through routine ultrasound from October 2020 to December 2022 in Huangshan City People's Hospital. All lesions underwent RTE and CEUS examination before surgery, and the ImageJ software was used to measure the periphery of lesion images in the enhancement peak mode and grayscale mode to calculate the contrast-enhanced ultrasound area ratio. The diagnostic capabilities of single-modal and multimodal ultrasound examination for the malignancy of breast BI-RADS 4 lesions were compared using the receiver operating characteristic curve; the Spearman correlation analysis was adopted to evaluate the correlation between multimodal ultrasound and CEUS area ratio. As a result, among the 85 lesions, 51 were benign, and 34 were malignant. The areas under the curve (AUCs) of routine ultrasound (US), US + RTE, US + CEUS, and US + RTE + CEUS were 0.816, 0.928, 0.953, and 0.967, respectively, with the combined method showing a higher AUC than the single application. The AUC of the CEUS area ratio diagnosing breast lesions was 0.888. There was a strong positive correlation (r = 0.819, P < 0.001) between the diagnostic performance of US + RTE + CEUS and the CEUS area ratio. In conclusion, based on routine ultrasound, the combination of RTE and CEUS can further improve the differential diagnosis of benign and malignant lesions in breast BI-RADS 4.","PeriodicalId":49116,"journal":{"name":"Ultrasound Quarterly","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141894715","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}

引用次数: 0

Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography. 利用深度学习模型描述乳腺癌患者前哨淋巴结状态与放射科医生对灰度超声波和淋巴造影的分析比较

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-07-03 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000683

Priscilla Machado, Aylin Tahmasebi, Samuel Fallon, Ji-Bin Liu, Basak E Dogan, Laurence Needleman, Melissa Lazar, Alliric I Willis, Kristin Brill, Susanna Nazarian, Adam Berger, Flemming Forsberg

{"title":"Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography.","authors":"Priscilla Machado, Aylin Tahmasebi, Samuel Fallon, Ji-Bin Liu, Basak E Dogan, Laurence Needleman, Melissa Lazar, Alliric I Willis, Kristin Brill, Susanna Nazarian, Adam Berger, Flemming Forsberg","doi":"10.1097/RUQ.0000000000000683","DOIUrl":"10.1097/RUQ.0000000000000683","url":null,"abstract":"Abstract: The objective of the study was to use a deep learning model to differentiate between benign and malignant sentinel lymph nodes (SLNs) in patients with breast cancer compared to radiologists' assessments.Seventy-nine women with breast cancer were enrolled and underwent lymphosonography and contrast-enhanced ultrasound (CEUS) examination after subcutaneous injection of ultrasound contrast agent around their tumor to identify SLNs. Google AutoML was used to develop image classification model. Grayscale and CEUS images acquired during the ultrasound examination were uploaded with a data distribution of 80% for training/20% for testing. The performance metric used was area under precision/recall curve (AuPRC). In addition, 3 radiologists assessed SLNs as normal or abnormal based on a clinical established classification. Two-hundred seventeen SLNs were divided in 2 for model development; model 1 included all SLNs and model 2 had an equal number of benign and malignant SLNs. Validation results model 1 AuPRC 0.84 (grayscale)/0.91 (CEUS) and model 2 AuPRC 0.91 (grayscale)/0.87 (CEUS). The comparison between artificial intelligence (AI) and readers' showed statistical significant differences between all models and ultrasound modes; model 1 grayscale AI versus readers, P = 0.047, and model 1 CEUS AI versus readers, P < 0.001. Model 2 r grayscale AI versus readers, P = 0.032, and model 2 CEUS AI versus readers, P = 0.041.The interreader agreement overall result showed κ values of 0.20 for grayscale and 0.17 for CEUS.In conclusion, AutoML showed improved diagnostic performance in balance volume datasets. Radiologist performance was not influenced by the dataset's distribution.","PeriodicalId":49116,"journal":{"name":"Ultrasound Quarterly","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141494024","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}

引用次数: 0

Revisiting the Hepatorenal Index in the Quantification of Hepatic Steatosis: How it is done and the utility. 重新审视肝脏脂肪变性定量分析中的肝脏指数：方法和效用。

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-06-18 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000681

Kevin Duncan, Beth L Vealé

{"title":"Revisiting the Hepatorenal Index in the Quantification of Hepatic Steatosis: How it is done and the utility.","authors":"Kevin Duncan, Beth L Vealé","doi":"10.1097/RUQ.0000000000000681","DOIUrl":"10.1097/RUQ.0000000000000681","url":null,"abstract":"Methods: Twenty-three peer-reviewed articles on HRI measurements published between 2018 through 2023 were reviewed, and 11 were selected based on common subjects. The search terms included \"hepatorenal index,\" \"HRI,\" \"HRI ultrasound,\" \"hepatorenal ultrasound index,\" and \"HRI ultrasound measurement.\"Three common subject areas were identified in the literature and synthesized down to 11 articles. The common subjects identified were HRI technique, HRI limitations, and HRI diagnostic accuracy. The matrix provided a quick overview of the general information in each piece, aiding in the paper's overall organization. Thirteen articles were rejected as not relevant or out of date. The research question leading this review was, \"What does the literature say about the value of HRI in determining moderate to severe hepatic steatosis?\"Results: The literature revealed that HRI could be valuable in determining moderate to severe hepatic steatosis. HRI could not accurately determine normal or mild steatosis and has several limitations.Conclusions: HRI is a more objective method for determining the degree of hepatic steatosis compared with traditional B-mode ultrasound scoring and does not require additional or specialized equipment. Many studies excluded patients with various liver diseases, which may not make HRI a practical tool for clinical usefulness. Further studies should be conducted with larger patient cohorts, a greater degree of hepatic steatosis, and determine specific standardized cutoff values.","PeriodicalId":49116,"journal":{"name":"Ultrasound Quarterly","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141421589","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}

引用次数: 0

A Nomogram Based on Conventional Ultrasound Radiomics for Differentiating Between Radial Scar and Invasive Ductal Carcinoma of the Breast. 基于常规超声放射组学的乳腺径向疤痕和浸润性乳腺导管癌鉴别提名图。

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-06-18 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000685

Huan-Zhong Su, Long-Cheng Hong, Yi-Ming Su, Xiao-Shuang Chen, Zuo-Bing Zhang, Xiao-Dong Zhang

{"title":"A Nomogram Based on Conventional Ultrasound Radiomics for Differentiating Between Radial Scar and Invasive Ductal Carcinoma of the Breast.","authors":"Huan-Zhong Su, Long-Cheng Hong, Yi-Ming Su, Xiao-Shuang Chen, Zuo-Bing Zhang, Xiao-Dong Zhang","doi":"10.1097/RUQ.0000000000000685","DOIUrl":"10.1097/RUQ.0000000000000685","url":null,"abstract":"Abstract: We aimed to develop and validate a nomogram based on conventional ultrasound (CUS) radiomics model to differentiate radial scar (RS) from invasive ductal carcinoma (IDC) of the breast. In total, 208 patients with histopathologically diagnosed RS or IDC of the breast were enrolled. They were randomly divided in a 7:3 ratio into a training cohort (n = 145) and a validation cohort (n = 63). Overall, 1316 radiomics features were extracted from CUS images. Then a radiomics score was constructed by filtering unstable features and using the maximum relevance minimum redundancy algorithm and the least absolute shrinkage and selection operator logistic regression algorithm. Two models were developed using data from the training cohort: one using clinical and CUS characteristics (Clin + CUS model) and one using clinical information, CUS characteristics, and the radiomics score (radiomics model). The usefulness of nomogram was assessed based on their differentiating ability and clinical utility. Nine features from CUS images were used to build the radiomics score. The radiomics nomogram showed a favorable predictive value for differentiating RS from IDC, with areas under the curve of 0.953 and 0.922 for the training and validation cohorts, respectively. Decision curve analysis indicated that this model outperformed the Clin + CUS model and the radiomics score in terms of clinical usefulness. The results of this study may provide a novel method for noninvasively distinguish RS from IDC.","PeriodicalId":49116,"journal":{"name":"Ultrasound Quarterly","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141421587","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}

引用次数: 0

Arrival-Time Parametric Imaging in Contrast-Enhanced Ultrasound for Diagnosing Fibrosis in Primary Biliary Cholangitis: Erratum. 对比增强超声中的到达时间参数成像用于诊断原发性胆道胆管炎的纤维化：勘误。

IF 0.7 4区医学

Ultrasound Quarterly Pub Date : 2024-06-18 eCollection Date: 2024-09-01 DOI: 10.1097/RUQ.0000000000000682

引用次数: 0