Literature DB >> 23959053

Pathologic discordance of differentiation between endoscopic biopsy and postoperative specimen in mucosal gastric adenocarcinomas.

In-Seob Lee, Young-Soo Park, Jeong Hoon Lee, Ji Young Park, Hee-Sung Kim, Beom-Su Kim, Jeong-Hwan Yook, Sung-Tae Oh, Byung-Sik Kim.   

Abstract

BACKGROUND: Tumor differentiation is a major determinant of endoscopic resection in mucosal gastric cancers, and the treatment decision is usually based on a preoperative endoscopic biopsy. However, in a proportion of patients, the pathologic assessment of differentiation differs between the endoscopic biopsy and postgastrectomy specimen. This discrepancy is important in that it may lead to an additional radical gastrectomy after endoscopic resection or unnecessary operation for patients who could have been treated with endoscopic resection. This study aimed to investigate the frequency of such cases and to identify risk factors for discordance in patients with mucosal gastric adenocarcinoma.
METHODS: The clinicopathologic characteristics of 1,326 patients who underwent curative gastrectomy for mucosal gastric cancer at Asan Medical Center from 2007 to 2011 were retrospectively reviewed.
RESULTS: The overall discordance was 21.5 % (285 cases), and clinically significant discordant rate was 11.9 % (157 cases). Ninety-nine tumors (7.5 %) with differentiated histology on preoperative biopsy were found to be undifferentiated on postoperative pathology. Additionally, 58 patients (4.4 %) with undifferentiated histology on preoperative biopsy exhibited differentiated histology postoperatively. Multivariate analysis revealed that age, sex, tumor location, size, and gross pattern were associated with overall pathologic discordance. In patients with clinically significant discordance, only tumor location (cardia) and size ([2 cm) were independent factors for discordance.
CONCLUSIONS: Considering a high discordance rate of differentiation between biopsy samples and resected specimens in mucosal cancer in cardia, performing endoscopic resection for confirmative diagnosis of differentiation before total gastrectomy can be a good option.

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Year:  2013        PMID: 23959053     DOI: 10.1245/s10434-013-3196-y

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  8 in total

1.  Application of CT texture analysis in predicting histopathological characteristics of gastric cancers.

Authors:  Shunli Liu; Song Liu; Changfeng Ji; Huanhuan Zheng; Xia Pan; Yujuan Zhang; Wenxian Guan; Ling Chen; Yue Guan; Weifeng Li; Jian He; Yun Ge; Zhengyang Zhou
Journal:  Eur Radiol       Date:  2017-06-22       Impact factor: 5.315

2.  Development and validation of a CT-based radiomics nomogram for preoperative prediction of tumor histologic grade in gastric adenocarcinoma.

Authors:  Jia Huang; Huasheng Yao; Yexing Li; Mengyi Dong; Chu Han; Lan He; Xiaomei Huang; Ting Xia; Zongjian Yi; Huihui Wang; Yuan Zhang; Jian He; Changhong Liang; Zaiyi Liu
Journal:  Chin J Cancer Res       Date:  2021-02-28       Impact factor: 5.087

3.  Low Discrepancy Between Tissue Biopsy Plus Magnifying Endoscopy With Narrow-Band Imaging and Endoscopic Resection in the Diagnosis of Gastric Epithelial Neoplasia (STROBE).

Authors:  Qiang Zhang; Zhou Yang Lian; Zhen Yu Chen; Zhen Wang; Chu di Chen; Sheng Li An; Wei Gong; Fa Chao Zhi; Si de Liu
Journal:  Medicine (Baltimore)       Date:  2015-07       Impact factor: 1.889

4.  Pre- and post-ESD discrepancies in clinicopathologic criteria in early gastric cancer: the NECA-Korea ESD for Early Gastric Cancer Prospective Study (N-Keep).

Authors:  Joon Mee Kim; Jin Hee Sohn; Mee-Yon Cho; Woo Ho Kim; Hee Kyung Chang; Eun Sun Jung; Myeong-Cherl Kook; So-Young Jin; Yang Seok Chae; Young Soo Park; Mi Seon Kang; Hyunki Kim; Jae Hyuk Lee; Do Youn Park; Kyoung Mee Kim; Hoguen Kim; Youn Wha Kim; Seung-Sik Hwang; Sang Yong Seol; Hwoon-Yong Jung; Na Rae Lee; Seung-Hee Park; Ji Hye You
Journal:  Gastric Cancer       Date:  2015-11-30       Impact factor: 7.370

Review 5.  Handling and Pathology Reporting of Gastrointestinal Endoscopic Mucosal Resection.

Authors:  Bita Geramizadeh; David A Owen
Journal:  Middle East J Dig Dis       Date:  2017-01

6.  Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer.

Authors:  Qiong Li; Liang Qi; Qiu-Xia Feng; Chang Liu; Shu-Wen Sun; Jing Zhang; Guang Yang; Ying-Qian Ge; Yu-Dong Zhang; Xi-Sheng Liu
Journal:  Clin Transl Gastroenterol       Date:  2019-10       Impact factor: 4.488

7.  Development and validation of multivariate models integrating preoperative clinicopathological and radiographic findings to predict HER2 status in gastric cancer.

Authors:  Mengying Xu; Song Liu; Lin Li; Xiangmei Qiao; Changfeng Ji; Lingyu Tan; Zhengyang Zhou
Journal:  Sci Rep       Date:  2022-08-19       Impact factor: 4.996

8.  Does the discrepancy in histologic differentiation between a forceps biopsy and an endoscopic specimen necessitate additional surgery in early gastric cancer?

Authors:  Jae Seung Soh; Hyun Lim; Ho Suk Kang; Jong Hyeok Kim; Kab Choong Kim
Journal:  World J Gastrointest Oncol       Date:  2017-08-15
  8 in total

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