Value of quantitative microsurface structure analysis for evaluating the invasion depth of type 0–II early gastric cancer

IF 1.7 Q3 GASTROENTEROLOGY & HEPATOLOGY JGH Open Pub Date : 2024-04-16 DOI:10.1002/jgh3.13055
Zhang-Xiu Jiang, Yun-Xiao Liang, Peng-Yu Huang, Jia-Juan Ning, Jing-Jing Qi
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Abstract

Background and Aim

The microsurface structure reflects the degree of damage to the glands, which is related to the invasion depth of early gastric cancer. To evaluate the diagnostic value of quantitative microsurface structure analysis for estimating the invasion depth of early gastric cancer.

Methods

White-light imaging and narrow-band imaging (NBI) endoscopy were used to visualize the lesions of the included patients. The area ratio and depth-predicting score (DPS) of each patient were calculated; meanwhile, each lesion was examined by endoscopic ultrasonography (EUS).

Results

Ninety-three patients were included between 2016 and 2019. Microsurface structure is related to the histological differentiation and progression of early gastric cancer. The receiver operating characteristic curve showed that when an area ratio of 80.3% was used as a cut-off value for distinguishing mucosal (M) and submucosal (SM) type 0–II gastric cancers, the sensitivity, specificity, and accuracy were 82.9%, 80.2%, and 91.6%, respectively. The accuracies for distinguishing M/SM differentiated and undifferentiated early gastric cancers were 87.4% and 84.8%, respectively. The accuracy of EUS for distinguishing M/SM early gastric cancer was 74.9%. DPS can only distinguish M-SM1 (SM infiltration <500 μm)/SM (SM infiltration ≥500 μm) with an accuracy of 83.8%. The accuracy of using area ratio for distinguishing 0–II early gastric cancers was better than those of using DPS and EUS (P < 0.05).

Conclusion

Quantitative analysis of microsurface structure can be performed to assess M/SM type 0–II gastric cancer and is expected to be effective for judging the invasion depth of gastric cancer.

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微表面结构定量分析对评估 0-II 型早期胃癌侵袭深度的价值
背景和目的 微表面结构反映了腺体的损伤程度,与早期胃癌的浸润深度有关。目的 评估微表面结构定量分析对估计早期胃癌侵犯深度的诊断价值。 方法 采用白光成像和窄带成像(NBI)内镜观察纳入患者的病灶。计算每位患者的面积比和深度预测评分(DPS),同时用内镜超声(EUS)检查每个病灶。 结果 2016 年至 2019 年间共纳入 93 例患者。微表面结构与早期胃癌的组织学分化和进展有关。接收器操作特征曲线显示,当以80.3%的面积比作为区分粘膜(M)和粘膜下(SM)0-II型胃癌的临界值时,敏感性、特异性和准确性分别为82.9%、80.2%和91.6%。区分M/SM分化型和未分化型早期胃癌的准确率分别为87.4%和84.8%。EUS区分M/SM早期胃癌的准确率为74.9%。DPS只能区分M-SM1(SM浸润<500 μm)/SM(SM浸润≥500 μm),准确率为83.8%。使用面积比鉴别 0-II 期早期胃癌的准确性优于使用 DPS 和 EUS(P < 0.05)。 结论 微表面结构的定量分析可用于评估 M/SM 0-II 型胃癌,并有望有效判断胃癌的侵犯深度。
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来源期刊
JGH Open
JGH Open GASTROENTEROLOGY & HEPATOLOGY-
CiteScore
3.40
自引率
0.00%
发文量
143
审稿时长
7 weeks
期刊最新文献
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