Determinants of conventional and contrast-enhanced ultrasound diagnosis of fat-poor angiomyolipoma <5 cm

PurposeThis study aims to assess the diagnostic efficacy of conventional ultrasound (CUS) and contrast-enhanced ultrasound (CEUS) in detecting fat-poor angiomyolipomas(AML) with dimensions less than 5 cm. Additionally, the study seeks to identify independent indicators for predicting the presence of...

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Published in:Frontiers in Oncology
Main Authors: Xia Liang, Xian-Tao Zeng, Zhi-Liang Hong, Miao-Jiao Su, Jian-Chuan Yang, Song-Song Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1446801/full
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author Xia Liang
Xia Liang
Xia Liang
Xian-Tao Zeng
Xian-Tao Zeng
Xian-Tao Zeng
Zhi-Liang Hong
Zhi-Liang Hong
Zhi-Liang Hong
Miao-Jiao Su
Miao-Jiao Su
Miao-Jiao Su
Jian-Chuan Yang
Jian-Chuan Yang
Jian-Chuan Yang
Song-Song Wu
Song-Song Wu
Song-Song Wu
author_facet Xia Liang
Xia Liang
Xia Liang
Xian-Tao Zeng
Xian-Tao Zeng
Xian-Tao Zeng
Zhi-Liang Hong
Zhi-Liang Hong
Zhi-Liang Hong
Miao-Jiao Su
Miao-Jiao Su
Miao-Jiao Su
Jian-Chuan Yang
Jian-Chuan Yang
Jian-Chuan Yang
Song-Song Wu
Song-Song Wu
Song-Song Wu
author_sort Xia Liang
collection DOAJ
container_title Frontiers in Oncology
description PurposeThis study aims to assess the diagnostic efficacy of conventional ultrasound (CUS) and contrast-enhanced ultrasound (CEUS) in detecting fat-poor angiomyolipomas(AML) with dimensions less than 5 cm. Additionally, the study seeks to identify independent indicators for predicting the presence of fat-poor AML.MethodsWe conducted a retrospective analysis of patients diagnosed with renal AML and renal cell carcinoma, who were admitted and underwent surgery at Fujian Provincial Hospital from January 2013 to October 2023. A total of 154 renal tumors were included (104 renal cell carcinomas and 50 fat-poor AMLs). Prior to radical or partial nephrectomy, these patients underwent both CUS and CEUS examinations. We systematically analyzed the features observed in CUS and CEUS, identified independent factors through multifactorial regression analysis, and evaluated diagnostic efficacy by calculating the area under the curve (AUC).ResultsUnivariate analysis revealed significant distinctions in fat-poor AML concerning gender, age, morphology, internal hyperechoic features (starry-sky sign, crescent sign), enhancement uniformity, and delayed enhancement, all displaying significance compared to renal cell carcinoma (RCC) (p &lt; 0.05). Multivariate analysis demonstrated that internal hyperechoic features (p &lt; 0.01, Odds Ratio [OR] = 0.003, 95% Confidence Interval [CI]: 0.000-0.0028) and enhancement uniformity (p &lt; 0.01, OR = 0.016, 95% CI: 0.001-0.229) independently predicted fat-poor AML. The Receiver Operating Characteristic (ROC) curve’s area under the curve (AUC) for internal hyperechoic features (starry-sky sign, crescent sign) was 0.88 (95% CI: 0.80–0.95), with a sensitivity of 78.00%, specificity of 97.12%, positive predictive value of 92.85%, and negative predictive value of 90.18%. Conversely, the ROC curve AUC for enhancement uniformity was 0.70 (95% CI: 0.62–0.78), with a sensitivity of 96.00%, specificity of 44.23%, positive predictive value of 45.28%, and negative predictive value of 95.83%.ConclusionThis study suggests that both CUS and CEUS possess discriminative value in differentiating fat-poor AMLs from RCCs. Notably, internal hyperechoic features (starry-sky sign, crescent sign) and uniform enhancement within renal tumors emerge as potential independent indicators for predicting fat-poor AML.
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spelling doaj-art-9728b31e742e4a6ca48949fe11d02f8a2025-08-20T01:58:51ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2024-12-011410.3389/fonc.2024.14468011446801Determinants of conventional and contrast-enhanced ultrasound diagnosis of fat-poor angiomyolipoma <5 cmXia Liang0Xia Liang1Xia Liang2Xian-Tao Zeng3Xian-Tao Zeng4Xian-Tao Zeng5Zhi-Liang Hong6Zhi-Liang Hong7Zhi-Liang Hong8Miao-Jiao Su9Miao-Jiao Su10Miao-Jiao Su11Jian-Chuan Yang12Jian-Chuan Yang13Jian-Chuan Yang14Song-Song Wu15Song-Song Wu16Song-Song Wu17Fujian Provincial Hospital, Provincial Clinical Medical College, Fujian Medical University, Fuzhou, ChinaFujian Provincial Hospital, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, ChinaDepartment of Ultrasound, Fujian Provincial Hospital, Fuzhou, ChinaFujian Provincial Hospital, Provincial Clinical Medical College, Fujian Medical University, Fuzhou, ChinaFujian Provincial Hospital, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, ChinaDepartment of Ultrasound, Fujian Provincial Hospital, Fuzhou, ChinaFujian Provincial Hospital, Provincial Clinical Medical College, Fujian Medical University, Fuzhou, ChinaFujian Provincial Hospital, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, ChinaDepartment of Ultrasound, Fujian Provincial Hospital, Fuzhou, ChinaFujian Provincial Hospital, Provincial Clinical Medical College, Fujian Medical University, Fuzhou, ChinaFujian Provincial Hospital, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, ChinaDepartment of Ultrasound, Fujian Provincial Hospital, Fuzhou, ChinaFujian Provincial Hospital, Provincial Clinical Medical College, Fujian Medical University, Fuzhou, ChinaFujian Provincial Hospital, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, ChinaDepartment of Ultrasound, Fujian Provincial Hospital, Fuzhou, ChinaFujian Provincial Hospital, Provincial Clinical Medical College, Fujian Medical University, Fuzhou, ChinaFujian Provincial Hospital, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, ChinaDepartment of Ultrasound, Fujian Provincial Hospital, Fuzhou, ChinaPurposeThis study aims to assess the diagnostic efficacy of conventional ultrasound (CUS) and contrast-enhanced ultrasound (CEUS) in detecting fat-poor angiomyolipomas(AML) with dimensions less than 5 cm. Additionally, the study seeks to identify independent indicators for predicting the presence of fat-poor AML.MethodsWe conducted a retrospective analysis of patients diagnosed with renal AML and renal cell carcinoma, who were admitted and underwent surgery at Fujian Provincial Hospital from January 2013 to October 2023. A total of 154 renal tumors were included (104 renal cell carcinomas and 50 fat-poor AMLs). Prior to radical or partial nephrectomy, these patients underwent both CUS and CEUS examinations. We systematically analyzed the features observed in CUS and CEUS, identified independent factors through multifactorial regression analysis, and evaluated diagnostic efficacy by calculating the area under the curve (AUC).ResultsUnivariate analysis revealed significant distinctions in fat-poor AML concerning gender, age, morphology, internal hyperechoic features (starry-sky sign, crescent sign), enhancement uniformity, and delayed enhancement, all displaying significance compared to renal cell carcinoma (RCC) (p &lt; 0.05). Multivariate analysis demonstrated that internal hyperechoic features (p &lt; 0.01, Odds Ratio [OR] = 0.003, 95% Confidence Interval [CI]: 0.000-0.0028) and enhancement uniformity (p &lt; 0.01, OR = 0.016, 95% CI: 0.001-0.229) independently predicted fat-poor AML. The Receiver Operating Characteristic (ROC) curve’s area under the curve (AUC) for internal hyperechoic features (starry-sky sign, crescent sign) was 0.88 (95% CI: 0.80–0.95), with a sensitivity of 78.00%, specificity of 97.12%, positive predictive value of 92.85%, and negative predictive value of 90.18%. Conversely, the ROC curve AUC for enhancement uniformity was 0.70 (95% CI: 0.62–0.78), with a sensitivity of 96.00%, specificity of 44.23%, positive predictive value of 45.28%, and negative predictive value of 95.83%.ConclusionThis study suggests that both CUS and CEUS possess discriminative value in differentiating fat-poor AMLs from RCCs. Notably, internal hyperechoic features (starry-sky sign, crescent sign) and uniform enhancement within renal tumors emerge as potential independent indicators for predicting fat-poor AML.https://www.frontiersin.org/articles/10.3389/fonc.2024.1446801/fullfat-poor angiomyolipomarenal cell carcinomacontrast-enhanced ultrasoundconventional ultrasoundstarry-sky sign
spellingShingle Xia Liang
Xia Liang
Xia Liang
Xian-Tao Zeng
Xian-Tao Zeng
Xian-Tao Zeng
Zhi-Liang Hong
Zhi-Liang Hong
Zhi-Liang Hong
Miao-Jiao Su
Miao-Jiao Su
Miao-Jiao Su
Jian-Chuan Yang
Jian-Chuan Yang
Jian-Chuan Yang
Song-Song Wu
Song-Song Wu
Song-Song Wu
Determinants of conventional and contrast-enhanced ultrasound diagnosis of fat-poor angiomyolipoma <5 cm
fat-poor angiomyolipoma
renal cell carcinoma
contrast-enhanced ultrasound
conventional ultrasound
starry-sky sign
title Determinants of conventional and contrast-enhanced ultrasound diagnosis of fat-poor angiomyolipoma <5 cm
title_full Determinants of conventional and contrast-enhanced ultrasound diagnosis of fat-poor angiomyolipoma <5 cm
title_fullStr Determinants of conventional and contrast-enhanced ultrasound diagnosis of fat-poor angiomyolipoma <5 cm
title_full_unstemmed Determinants of conventional and contrast-enhanced ultrasound diagnosis of fat-poor angiomyolipoma <5 cm
title_short Determinants of conventional and contrast-enhanced ultrasound diagnosis of fat-poor angiomyolipoma <5 cm
title_sort determinants of conventional and contrast enhanced ultrasound diagnosis of fat poor angiomyolipoma 5 cm
topic fat-poor angiomyolipoma
renal cell carcinoma
contrast-enhanced ultrasound
conventional ultrasound
starry-sky sign
url https://www.frontiersin.org/articles/10.3389/fonc.2024.1446801/full
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