دورية أكاديمية
أعرض في EDS

Hyperechoic Renal Masses: Differentiation of Angiomyolipomas from Renal Cell Carcinomas using Tumor Size and Ultrasound Radiomics.

التفاصيل البيبلوغرافية
العنوان: Hyperechoic Renal Masses: Differentiation of Angiomyolipomas from Renal Cell Carcinomas using Tumor Size and Ultrasound Radiomics.
المؤلفون: Habibollahi P; Department of Interventional Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Sultan LR; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Bialo D; Larchmont Imaging Associates, Larchmont, New Jersey, USA., Nazif A; Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA., Faizi NA; Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA., Sehgal CM; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Chauhan A; Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA. Electronic address: chauh009@umn.edu.
المصدر: Ultrasound in medicine & biology [Ultrasound Med Biol] 2022 May; Vol. 48 (5), pp. 887-894. Date of Electronic Publication: 2022 Feb 23.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 0410553 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-291X (Electronic) Linking ISSN: 03015629 NLM ISO Abbreviation: Ultrasound Med Biol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Oxford, New York, Pergamon Press.
مواضيع طبية MeSH: Angiomyolipoma*/pathology , Carcinoma, Renal Cell*/diagnostic imaging , Carcinoma, Renal Cell*/pathology , Kidney Neoplasms*/diagnostic imaging , Kidney Neoplasms*/pathology, Diagnosis, Differential ; Humans ; Retrospective Studies
مستخلص: A retrospective single-center study was performed to assess the performance of ultrasound image-based texture analysis in differentiating angiomyolipoma (AML) from renal cell carcinoma (RCC) on incidental hyperechoic renal lesions. Ultrasound reports of patients from 2012 to 2017 were queried, and those with a hyperechoic renal mass <5 cm in diameter with further imaging characterization and/or pathological correlation were included. Quantitative texture analysis was performed using a model including 18 texture features. Univariate logistic regression was used to identify texture variables differing significantly between AML and RCC, and the performance of the model was measured using the area under the receiver operating characteristic (ROC) curve. One hundred thirty hyperechoic renal masses in 127 patients characterized as RCCs (25 [19%]) and AMLs (105 [81%]) were included. Size (odds ratio [OR] = 0.12, 95% confidence interval [CI]: 0.04-0.43, p < 0.001) and 4 of 18 texture features, including entropy (OR = 0.09, 95% CI: 0.01-0.81, p = 0.03), gray-level non-uniformity (OR = 0.12, 95% CI: 0.02-0.72, p = 0.02), long-run emphasis (OR = 0.49, 95% CI: 0.27-0.91, p = 0.02) and run-length non-uniformity (OR = 2.18, 95% CI: 1.14-4.16, p = 0.02) were able to differentiate AMLs from RCCs. The area under the ROC curve for the performance of the model, including texture features and size, was 0.945 (p < 0.001). Ultrasound image-based textural analysis enables differentiation of hyperechoic RCCs from AMLs with high accuracy, which improves further when combined with tumor size.
(Copyright © 2022 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.)
فهرسة مساهمة: Keywords: Angiomyolipoma; Renal cell carcinoma; Texture analysis; Ultrasound
تواريخ الأحداث: Date Created: 20220227 Date Completed: 20220405 Latest Revision: 20220520
رمز التحديث: 20231215
DOI: 10.1016/j.ultrasmedbio.2022.01.011
PMID: 35219511
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-291X
DOI:10.1016/j.ultrasmedbio.2022.01.011