Suppr超能文献

使用内镜下细胞检查法检测促纤维增生性反应:结直肠癌黏膜下层或更广泛浸润的一种新诊断标志物。

detection of desmoplastic reaction using endocytoscopy: A new diagnostic marker of submucosal or more extensive invasion in colorectal carcinoma.

作者信息

Sugihara Yuusaku, Kudo Shin-Ei, Miyachi Hideyuki, Wakamura Kunihiko, Mori Yuichi, Misawa Masashi, Hisayuki Tomokazu, Kudo Toyoki, Hayashi Takemasa, Hamatani Shigeharu, Okoshi Shogo, Okada Hiroyuki

机构信息

Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa 224-0032, Japan.

Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan.

出版信息

Mol Clin Oncol. 2017 Mar;6(3):291-295. doi: 10.3892/mco.2017.1138. Epub 2017 Jan 23.

Abstract

The pathological determination of desmoplastic reaction (DR) in colorectal carcinoma is useful for predicting extensive submucosal invasion. The aim of the present study was to determine the usefulness of endocytoscopy (EC) in detecting DR. A total of 72 cases of colorectal cancer with submucosal invasion (EC classification, EC3b) were evaluated. The utility of fine granular structure (FGS) observed via EC for the prediction of the presence of DR in the most superficial tumor layers was assessed. Of the 72 lesions, 26 were positive for FGS, and the majority of these lesions (23/26, 88.5%) exhibited a DR, indicating a significant association. The overall accuracy of the identification of FGS via EC that was predictive of a DR was 87.3%. The presence of FGS detected by EC was significantly associated with the presence of a DR, suggesting the clinical usefulness of EC in planning treatment for colon cancer with submucosal invasion.

摘要

结直肠癌中促纤维增生性反应(DR)的病理判定有助于预测广泛的黏膜下浸润。本研究的目的是确定内镜下活检(EC)在检测DR方面的实用性。共评估了72例伴有黏膜下浸润的结直肠癌病例(EC分类,EC3b)。评估了通过EC观察到的细颗粒结构(FGS)对预测最浅表肿瘤层中DR存在的效用。在72个病变中,26个FGS呈阳性,其中大多数病变(23/26,88.5%)表现为DR,表明存在显著相关性。通过EC识别可预测DR的FGS的总体准确率为87.3%。EC检测到的FGS的存在与DR的存在显著相关,提示EC在计划治疗伴有黏膜下浸润的结肠癌方面具有临床实用性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验