利用放射成像区分脂肪瘤和非典型脂肪瘤/分化良好的脂肪肉瘤:系统综述。

IF 2.3 Q2 MEDICINE, GENERAL & INTERNAL
SAGE Open Medicine Pub Date : 2024-11-08 eCollection Date: 2024-01-01 DOI:10.1177/20503121241293496
Muhammad Muhib, Syeda Labiba Fatima Abidi, Uzair Ahmed, Ahson Afzal, Anoosh Farooqui, Omer Bin Khalid Jamil, Shayan Ahmed, Hifza Agha
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引用次数: 0

摘要

背景:脂肪瘤和非典型脂肪瘤或分化良好的脂肪肉瘤(ALTs/WDLs)的临床和影像学特征相互重叠,给诊断带来了挑战。由于良性脂肪瘤和恶性 ALTs/WDLs 的治疗策略大相径庭,因此准确鉴别至关重要。近年来,医学成像技术通过增强可视化和评估各种成像参数,在区分脂肪瘤和 ALTs/WDLs 方面显示出前景:本系统综述旨在研究使用磁共振(MR)成像和计算机断层扫描(CT)来区分脂肪瘤和 ALT/WDLs:通过MEDLINE、PubMed、PubMed Central、Cochrane Library、Google Scholar和clinical trail.gov进行了系统性回顾,以确定2001年至2022年间发表的成像研究。两名独立审稿人审阅了221条记录,对研究进行了仔细审查。使用诊断准确性研究质量评估2(QUADAS-2)工具对每项纳入研究的方法学质量进行评估:13项回顾性队列研究共纳入1390名患者。其中,11 项研究使用磁共振成像,2 项研究同时使用 CT 扫描和磁共振成像来区分脂肪瘤和 ALT/WDL。纳入研究的重要诊断变量包括年龄、大小、纹理、平均强度、对比度增强、位置、间隔和结节性。总体而言,纳入研究对病变诊断的敏感性、特异性和准确性分别为 66% 至 100%、37% 至 100%、76% 至 95%。阳性和阴性预测值分别为46.9%至90%和86%至100%:ALTs/WDLs最常见的诊断特征包括肿瘤大小⩾110毫米,通常发生在60岁以上的患者,主要位于下肢,形状不规则,脂肪抑制不完全,对比度增强,结节,间隔>2毫米,以及乳酸脱氢酶>220和短tau反转恢复-信号强度比>1.18等预测指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of radiologic imaging to differentiate lipoma from atypical lipomatous tumor/well-differentiated liposarcoma: Systematic review.

Background: Lipomas and atypical lipomatous tumors or well-differentiated liposarcomas (ALTs/WDLs), pose a diagnostic challenge due to their overlapping clinical and imaging features. Accurate differentiation is crucial as treatment strategies differ significantly between benign lipomas and malignant ALTs/WDLs. In recent years, medical imaging techniques have shown promise in distinguishing lipomas from ALTs/WDLs by providing enhanced visualization and assessment of various imaging parameters.

Objective: This systematic review aimed to investigate the use of magnetic resonance (MR) imaging and computed tomography (CT) scan to differentiate lipomas from ALTs/WDLs.

Methods: A systematic review was conducted by using MEDLINE, PubMed, PubMed Central, Cochrane Library, Google Scholar, and clinical trail.gov to identify imaging studies published between 2001 and 2022. Two independent reviewers reviewed 221 record to scrutinize the studies. The methodological quality of each included studies was assessed the using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool.

Results: Thirteen retrospective cohort studies included 1,390 of total patients. Among them, 11 studies used MR imaging, 2 studies used CT scan and MR imaging both to differentiate lipoma from ALTs/WDLs. The significant diagnostic variables identified in the included studies were age, size, texture, mean intensity, contrast enhancement, location, septation, and nodularity. The overall, sensitivity, specificity, and accuracy of the included studies for diagnosis of lesions range from 66% to 100%, 37% to 100%, and 76% to 95%, respectively. The positive and negative predictive values range from 46.9% to 90% and 86% to 100%, respectively.

Conclusion: The most frequent diagnostic features of ALTs/ WDLs include tumors ⩾110 mm in size, often in patients over 60, predominantly in the lower extremities, with an irregular shape, incomplete fat suppression, contrast enhancement, nodularity, septation >2 mm, and predictive markers such as lactate dehydrogenase >220 and a short tau inversion recovery-signal intensity ratio >1.18.

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SAGE Open Medicine
SAGE Open Medicine MEDICINE, GENERAL & INTERNAL-
CiteScore
3.50
自引率
4.30%
发文量
289
审稿时长
12 weeks
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