A Novel Digital Method for Accurate Endoscopic Size Measurement of Gastric Lesions: A Comparative Study With Visual and Forceps-Assisted Estimation.

IF 3.8 4区医学 Q2 GASTROENTEROLOGY & HEPATOLOGY

Journal of Gastric Cancer Pub Date : 2025-07-01 DOI:10.5230/jgc.2025.25.e37

Soyoung Yun, Bokyung Kim, Gihong Park, Ji Kon Ryu, Hyunsoo Chung

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引用次数: 0

Abstract

Purpose: Accurate measurement of the lesion size during endoscopy is crucial; however, it frequently relies on visual estimation, which is prone to errors. This study investigated these inaccuracies and introduced a novel depth-estimation algorithm (DEA) to evaluate its performance against conventional methods, visual estimation, and forceps-assisted estimation.

Materials and methods: Nineteen endoscopists (6 experts, 13 novices) measured 15 artificial lesions (6-39 mm) within a 3-dimensional (3D)-printed stomach model using visual estimation (VE), forceps-assisted estimation (FE), and DEA. Measurement accuracy was evaluated using median percentage error (MdPE) and interquartile range (IQR). Subgroup analyses were conducted according to the endoscopist's experience and lesion size, location, and shape for each measurement method.

Results: VE resulted in the highest MdPE at 33.33% (IQR, 17.24%-60.00%), while FE showed greater accuracy at 30.00% (IQR, 11.11%-48.72%; P<0.01). Unlike experts, novices exhibited no significant improvement in FE compared to VE (P=0.09). Conventional methods have demonstrated high error rates for polyp-shaped lesions and those located in the fundus, middle to high body, or the greater curvature. DEA achieved the highest accuracy, with an MdPE of 7.78% (IQR, 3.33%-16.67%), significantly outperforming both VE and FE (P<0.01) regardless of lesion characteristics, and showed consistent performance across endoscopist experience (P=0.18).

Conclusions: Given the observed error patterns in VE, endoscopists should exercise caution when evaluating polyp-shaped lesions and those located in the proximal stomach and greater curvature. The DEA outperformed conventional methods, especially for novices. Its integration into endoscopic practice can enhance the precision of lesion size measurements, ultimately improving clinical decision-making and outcomes.

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一种新的胃镜下精确测量胃病变大小的数字方法：与视觉和钳辅助估计的比较研究。

目的：内镜检查时准确测量病变大小至关重要；然而，它经常依赖于视觉估计，这很容易出错。本研究研究了这些不准确性，并引入了一种新的深度估计算法（DEA），以评估其与传统方法、视觉估计和钳辅助估计的性能。材料和方法：19名内镜医师（6名专家，13名新手）使用视觉估计（VE），钳辅助估计（FE）和DEA在三维（3D）打印的胃模型中测量了15个人工病变（6-39 mm）。采用中位数百分比误差（MdPE）和四分位间距（IQR）评估测量精度。根据内镜医师的经验和各测量方法的病变大小、位置和形状进行亚组分析。结果：VE的MdPE最高，为33.33% (IQR, 17.24% ~ 60.00%)， FE的准确率最高，为30.00% (IQR, 11.11% ~ 48.72%)；结论：鉴于观察到的VE的错误模式，内镜医师在评估息肉状病变和位于胃近端和大弯曲的病变时应谨慎。DEA优于传统方法，尤其是对新手而言。将其整合到内镜实践中可以提高病变大小测量的精度，最终改善临床决策和预后。

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

Journal of Gastric Cancer Biochemistry, Genetics and Molecular Biology-Cancer Research

CiteScore

4.30

自引率

12.00%

发文量

期刊介绍： The Journal of Gastric Cancer (J Gastric Cancer) is an international peer-reviewed journal. Each issue carries high quality clinical and translational researches on gastric neoplasms. Editorial Board of J Gastric Cancer publishes original articles on pathophysiology, molecular oncology, diagnosis, treatment, and prevention of gastric cancer as well as articles on dietary control and improving the quality of life for gastric cancer patients. J Gastric Cancer includes case reports, review articles, how I do it articles, editorials, and letters to the editor.