Innovative optimization of greater omentum imaging report and data system for enhanced risk stratification of omental lesions.

IF 3.5 2区医学 Q2 ONCOLOGY

Cancer Imaging Pub Date : 2025-03-10 DOI:10.1186/s40644-025-00848-2

Zhiguang Chen, Liang Sang, Yuan Cheng, Xuemei Wang, Mutian Lv, Yanjun Liu, ZhiQun Bai

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引用次数: 0

Abstract

Background: In 2020, we introduced the Greater Omentum Imaging-Reporting and Data System (GOI-RADS), a novel classification system related to peritoneal lesions. However, its clinical application remained unvalidated.

Objective: This study aimed to validate GOI-RADS, optimize its parameters for a new grading system, and explore its clinical usefulness.

Methods: A retrospective-prospective study was conducted to validate and refine the GOI-RADS system. The study consisted of two phases: a retrospective validation phase and a prospective application phase. The first phase included patients with peritoneal lesions from 2019 to 2021, classified by GOI-RADS and verified against pathology. Contrast-enhanced ultrasound (CEUS) and real-time elastography (RTE) data were collected for developing a new grading system. Odds ratios optimized parameters. The second phase (2021-2024) assessed diagnostic consistency among sonographers and performance of grading systems.

Results: Among 215 patients with peritoneal lesions, the actual malignancy rates for GOI-RADS 2 (40.00%) and GOI-RADS 3 (61.22%) were much higher than predicted (5.56% and 37.25%). Combining CEUS and RTE parameters showed varying sensitivity and specificity: RTE + GOI-RADS (95.35%, 55.56%) and CEUS + GOI-RADS (96.51%, 44.44%). However, the grading system based on multiple ultrasound parameters, specifically when incorporating RTE, CEUS parameters, and GOI-RADS (Multi-GOIRADS), exhibited the highest diagnostic sensitivity and specificity of 88.37% and 83.33%, respectively. Its simplified version, sMulti-GOIRADS, had sensitivity of 73.26% and specificity of 94.44%. In the prospective study involving three sonographers of different qualifications, the use of sMulti-GOIRADS was found to be the most time-efficient and showed excellent diagnostic consistency among them. In contrast, Multi-GOIRADS required more time for scoring but offered superior diagnostic performance, particularly among senior sonographers (88.35% and 91.43%).

Conclusions: This study proposes a multiparametric ultrasound-based imaging-reporting and data system for risk stratification of omental malignancy, Multi-GOIRADS, and presents an optimized and simplified version, sMulti-GOIRADS, which demonstrates excellent diagnostic consistency and performance in clinical applications.

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创新优化大网膜成像报告和数据系统，加强大网膜病变的风险分层。

背景：2020年，我们推出了大网膜成像报告和数据系统（GOI-RADS），这是一种与腹膜病变相关的新型分类系统。然而，其临床应用仍未得到证实。目的：本研究旨在验证GOI-RADS，优化其参数，并探讨其临床应用价值。方法：采用回顾性-前瞻性研究验证和完善GOI-RADS系统。该研究包括两个阶段：回顾性验证阶段和前瞻性应用阶段。第一阶段纳入2019年至2021年腹膜病变患者，根据GOI-RADS分类并进行病理验证。对比增强超声（CEUS）和实时弹性成像（RTE）数据收集用于开发新的分级系统。比值比优化参数。第二阶段（2021-2024）评估超声医师的诊断一致性和分级系统的性能。结果：215例腹膜病变患者中，GOI-RADS 2型（40.00%）和GOI-RADS 3型（61.22%）的实际恶性率明显高于预测值（5.56%和37.25%）。CEUS与RTE参数联合使用的灵敏度和特异度不同：RTE + GOI-RADS（95.35%, 55.56%）和CEUS + GOI-RADS（96.51%, 44.44%）。然而，基于多种超声参数的分级系统，特别是当结合RTE、CEUS参数和GOI-RADS （Multi-GOIRADS）时，诊断敏感性和特异性最高，分别为88.37%和83.33%。其简化版multi - goirads的敏感性为73.26%，特异性为94.44%。在涉及3名不同资质超声医师的前瞻性研究中，发现使用multi - goirads是最省时的，并且在他们之间表现出良好的诊断一致性。相比之下，Multi-GOIRADS需要更多的时间来评分，但提供了更好的诊断性能，特别是在高级超声医师中（88.35%和91.43%）。结论：本研究提出了一种基于多参数超声的大网膜恶性肿瘤风险分层影像报告和数据系统Multi-GOIRADS，并提出了优化简化版本Multi-GOIRADS，该系统在临床应用中具有良好的诊断一致性和性能。

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

Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

CiteScore

7.00

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology. The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations. Topics of interest include: Breast Imaging Chest Complications of treatment Ear, Nose & Throat Gastrointestinal Hepatobiliary & Pancreatic Imaging biomarkers Interventional Lymphoma Measurement of tumour response Molecular functional imaging Musculoskeletal Neuro oncology Nuclear Medicine Paediatric.