Radiomics in the differential diagnosis of gastrointestinal stromal tumors and leiomyomas. A literature review

E. A. Martirosyan, G. G. Karmazanovsky, Evgeniy V. Kondratyev, E. A. Sokolova
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引用次数: 0

Abstract

. BACKGROUND: A limited number of studies have been conducted in Russian and world literature on the differential diagnosis of gastrointestinal stromal tumors with other intra-abdominal tumors. The treatment of gastric non-epithelial tumors is dependent on the histologic type. The standard treatment for localized forms of gastrointestinal stromal tumors is surgery. For subepithelial masses up to 2 cm in size, in the absence of endoscopic signs of high risk, a strategy of active surveillance with mandatory endoscopic ultrasound examination and compliance with short-term intervals may be considered. Leiomyomas, benign masses, do not typically necessitate surgical intervention in the absence of clinical symptoms. Therefore, preoperative determination of the tumor type may help to avoid unwarranted surgical intervention. However, the ability of computed tomography to differentiate these tumor types is limited due to the similar radiological picture. Therefore, new scientific and clinical methods are needed. One of the possible techniques is texture analysis (radiomics). AIM: The study aims to investigate the potential of texture analysis (radiomics) in the diagnosis and differential diagnosis of gastrointestinal stromal tumors and gastric leiomyomas by analyzing the available world scientific literature. MATERIALS AND METHODS: A search was conducted in PubMed, Scopus, and Web of Science databases for published articles using the following keywords gastrointestinal stromal tumors, leiomyomas, and radiomics. The review included 4 meta-analyses and 16 original articles. RESULTS: Texture analysis represents a promising tool for quantifying the heterogeneity of masses on radiologic images, thereby enabling the extraction of additional data that cannot be assessed by imaging analysis. The potential applications of texture analysis for differential diagnosis of gastrointestinal stromal tumors with other gastrointestinal neoplasms, risk stratification, and prediction of outcome after surgical treatment, as well as assessment of the mutational status of tumors, were explored. A differential diagnosis of gastrointestinal stromal tumors should be made with other mesenchymal tumors of the stomach (schwannoma, leiomyoma), as well as with malignant tumors (adenocarcinoma, lymphoma), although the number of such publications is limited. Some published studies on texture analysis of gastrointestinal stromal tumors have demonstrated excellent reproducibility of the obtained models. CONCLUSIONS: The lack of standardization and differences in study methodology present significant challenges to the clinical application of radiomics. Texture analysis may offer a valuable tool for the initial evaluation of gastric tumors, reducing the time required for diagnosis and determining patient management before biopsy. This approach could help to prevent inappropriate treatment.
放射组学在胃肠道间质瘤和子宫肌瘤鉴别诊断中的应用。文献综述
.背景:俄罗斯和世界文献中关于胃肠道间质瘤与其他腹腔内肿瘤鉴别诊断的研究数量有限。胃非上皮性肿瘤的治疗取决于组织学类型。局部胃肠道间质瘤的标准治疗方法是手术。对于大小不超过 2 厘米的上皮下肿块,如果没有内镜下的高危迹象,可以考虑采取积极的监测策略,强制进行内镜超声检查,并遵守短期间隔期的规定。作为良性肿块的子宫肌瘤,在没有临床症状的情况下,一般不需要进行手术治疗。因此,术前确定肿瘤类型有助于避免不必要的手术干预。然而,由于放射学表现相似,计算机断层扫描区分这些肿瘤类型的能力有限。因此,需要新的科学和临床方法。纹理分析(放射组学)就是可行的技术之一。目的:本研究旨在通过分析现有的世界科学文献,研究纹理分析(放射组学)在诊断和鉴别诊断胃肠道间质瘤和胃癌中的潜力。材料与方法:使用以下关键词在 PubMed、Scopus 和 Web of Science 数据库中搜索已发表的文章:胃肠道间质瘤、胃癌和放射组学。综述包括 4 项荟萃分析和 16 篇原创文章。结果:纹理分析是量化放射影像上肿块异质性的一种很有前途的工具,可提取影像分析无法评估的其他数据。我们探讨了纹理分析在胃肠道间质瘤与其他胃肠道肿瘤的鉴别诊断、风险分层、手术治疗后疗效预测以及肿瘤突变状态评估方面的潜在应用。胃肠道间质瘤应与胃部其他间质瘤(裂孔瘤、子宫肌瘤)以及恶性肿瘤(腺癌、淋巴瘤)进行鉴别诊断,但此类出版物数量有限。一些已发表的胃肠道间质瘤纹理分析研究表明,所获得的模型具有极佳的再现性。结论:缺乏标准化和研究方法的差异给放射组学的临床应用带来了巨大挑战。纹理分析可为胃肿瘤的初步评估提供有价值的工具,缩短诊断所需的时间,并在活检前确定患者的治疗方案。这种方法有助于防止不适当的治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
44
审稿时长
5 weeks
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