Literature DB >> 25097136

Accuracy of multidetector-row CT in diagnosing lymph node metastasis in patients with gastric cancer.

Takuro Saito1, Yukinori Kurokawa, Shuji Takiguchi, Yasuhiro Miyazaki, Tsuyoshi Takahashi, Makoto Yamasaki, Hiroshi Miyata, Kiyokazu Nakajima, Masaki Mori, Yuichiro Doki.   

Abstract

OBJECTIVES: The purpose of this study was to determine the optimal cut-off value of lymph node size for diagnosing metastasis in gastric cancer with multidetector-row computed tomography (MDCT) after categorizing perigastric lymph nodes into three regions.
METHODS: The study included 90 gastric cancer patients who underwent gastrectomy. The long-axis diameter (LAD) and short-axis diameter (SAD) of all visualized lymph nodes were measured with transverse MDCT images. The locations of lymph nodes were categorized into three regions: lesser curvature, greater curvature, and suprapancreatic. The diagnostic value of lymph node metastasis was assessed with receiver operating characteristic (ROC) analysis.
RESULTS: The area under the curve was larger for SAD than LAD in all groups. The optimal cut-off values of SAD were determined as follows: overall, 9 mm; differentiated type, 9 mm; undifferentiated type, 8 mm; lesser curvature region, 7 mm; greater curvature region, 6 mm; and suprapancreatic region, 9 mm. The diagnostic accuracies for lymph node metastasis using individual cut-off values were 71.1% based on histological type and 76.6% based on region of lymph node location.
CONCLUSIONS: The diagnostic accuracy of lymph node metastasis in gastric cancer was improved by using individual cut-off values for each lymph node region. KEY POINTS: • Multidetector-row computed tomography is widely used to predict pathological nodal status. • An optimal cut-off value of lymph node size has not been determined. • Cut-off values were assessed according to histology and nodal location. • The optimal cut-off values differed based on histology and nodal location. • Diagnostic accuracy was improved by using individual cut-off values for each region.

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Year:  2014        PMID: 25097136     DOI: 10.1007/s00330-014-3373-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  40 in total

1.  64 multidetector-row computed tomography for preoperative evaluation of gastric cancer: histological correlation.

Authors:  Dal Mo Yang; Hyun Cheol Kim; Wook Jin; Chang Woo Ryu; Jee Hee Kang; Chul Hi Park; Hyung Sik Kim; Dong Hae Jung
Journal:  J Comput Assist Tomogr       Date:  2007 Jan-Feb       Impact factor: 1.826

2.  Gastric cancer: preoperative local staging with 3D multi-detector row CT--correlation with surgical and histopathologic results.

Authors:  Chiao-Yun Chen; Jui-Sheng Hsu; Deng-Chyang Wu; Wan-Yi Kang; Jan-Sing Hsieh; Twei-Shiun Jaw; Ming-Tsang Wu; Gin-Chung Liu
Journal:  Radiology       Date:  2007-02       Impact factor: 11.105

3.  Diagnostic accuracy of T and N stages with endoscopy, stomach protocol CT, and endoscopic ultrasonography in early gastric cancer.

Authors:  Hye Seong Ahn; Hyuk-Joon Lee; Moon-Won Yoo; Sang Gyun Kim; Jong Pil Im; Se Hyung Kim; Woo Ho Kim; Kuhn Uk Lee; Han-Kwang Yang
Journal:  J Surg Oncol       Date:  2009-01-01       Impact factor: 3.454

4.  Japanese gastric cancer treatment guidelines 2010 (ver. 3).

Authors: 
Journal:  Gastric Cancer       Date:  2011-06       Impact factor: 7.370

5.  Hydro-dynamic CT preoperative staging of gastric cancer: correlation with pathological findings. A prospective study of 107 cases.

Authors:  F D'Elia; A Zingarelli; D Palli; M Grani
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

6.  Preoperative T staging of gastric cancer by multi-detector row computed tomography.

Authors:  Tomoki Makino; Yoshiyuki Fujiwara; Shuji Takiguchi; Takahiro Tsuboyama; Tonsok Kim; Youichirou Nushijima; Makoto Yamasaki; Hiroshi Miyata; Kiyokazu Nakajima; Masaki Mori; Yuichiro Doki
Journal:  Surgery       Date:  2011-02-18       Impact factor: 3.982

7.  Comparing MR imaging and CT in the staging of gastric carcinoma.

Authors:  K M Sohn; J M Lee; S Y Lee; B Y Ahn; S M Park; K M Kim
Journal:  AJR Am J Roentgenol       Date:  2000-06       Impact factor: 3.959

8.  Preoperative staging of gastric cancer: comparison of endoscopic US and dynamic CT.

Authors:  J F Botet; C J Lightdale; A G Zauber; H Gerdes; S J Winawer; C Urmacher; M F Brennan
Journal:  Radiology       Date:  1991-11       Impact factor: 11.105

9.  Prognostic significance of the number of positive lymph nodes in gastric carcinoma.

Authors:  Y Adachi; T Kamakura; M Mori; H Baba; Y Maehara; K Sugimachi
Journal:  Br J Surg       Date:  1994-03       Impact factor: 6.939

10.  Preoperative staging of gastric carcinoma with multidetector spiral CT.

Authors:  Amato Antonio Stabile Ianora; Pasquale Pedote; Arnaldo Scardapane; Maurizio Memeo; Antonio Rotondo; Giuseppe Angelelli
Journal:  Radiol Med       Date:  2003 Nov-Dec       Impact factor: 3.469

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  32 in total

1.  Accuracy of Multidetector-Row Computed Tomography in the Preoperative Diagnosis of Lymph Node Metastasis in Patients with Gastric Cancer.

Authors:  Keisuke Kubota; Akihiro Suzuki; Hironori Shiozaki; Takeshi Wada; Tomoki Kyosaka; Akihiro Kishida
Journal:  Gastrointest Tumors       Date:  2017-02-11

2.  Early diagnosis of gastric cancer based on deep learning combined with the spectral-spatial classification method.

Authors:  Yuanpeng Li; Liangyu Deng; Xinhao Yang; Zhao Liu; Xiaoping Zhao; Furong Huang; Siqi Zhu; Xingdan Chen; Zhenqiang Chen; Weimin Zhang
Journal:  Biomed Opt Express       Date:  2019-09-09       Impact factor: 3.732

3.  Usefulness of diffusion-weighted magnetic resonance imaging for evaluating the effect of hemostatic radiotherapy for unresectable gastric cancer.

Authors:  Osamu Tanaka; Tatsushi Omatsu; Syuji Kariya; Ryoshu Maejima; Takuya Taniguchi; Kousei Ono; Yuka Kunishima; Masayuki Matsuo
Journal:  Clin J Gastroenterol       Date:  2018-11-16

4.  A Comprehensive Assessment of Accurate Lymph Node Staging and Preoperative Detection in Resected Pancreatic Cancer.

Authors:  Toshiro Masuda; Amanda M Dann; Irmina A Elliott; Hideo Baba; Stephen Kim; Alireza Sedarat; V Raman Muthusamy; Mark D Girgis; O Joe Hines; Howard A Reber; Timothy R Donahue
Journal:  J Gastrointest Surg       Date:  2017-10-17       Impact factor: 3.452

5.  Gastric cancer: texture analysis from multidetector computed tomography as a potential preoperative prognostic biomarker.

Authors:  Francesco Giganti; Sofia Antunes; Annalaura Salerno; Alessandro Ambrosi; Paolo Marra; Roberto Nicoletti; Elena Orsenigo; Damiano Chiari; Luca Albarello; Carlo Staudacher; Antonio Esposito; Alessandro Del Maschio; Francesco De Cobelli
Journal:  Eur Radiol       Date:  2016-08-23       Impact factor: 5.315

6.  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

7.  Hemostatic Radiotherapy for Gastric Cancer: MRI as an Alternative to Endoscopy for Post-Treatment Evaluation.

Authors:  Osamu Tanaka; Nobuaki Yagi; Masahiro Tawada; Takuya Taniguchi; Kousei Adachi; Shuto Nakaya; Chiyoko Makita; Masayuki Matsuo
Journal:  J Gastrointest Cancer       Date:  2022-05-23

8.  Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

Authors:  Jing Li; Di Dong; Mengjie Fang; Rui Wang; Jie Tian; Hailiang Li; Jianbo Gao
Journal:  Eur Radiol       Date:  2020-01-17       Impact factor: 5.315

9.  Value of computed tomography evaluation in pathologic classification and prognosis prediction of gastric neuroendocrine tumors.

Authors:  Shida Yan; Tongtong Liu; Ying Li; Yongjian Zhu; Jun Jiang; Liming Jiang; Hong Zhao
Journal:  Ann Transl Med       Date:  2019-10

10.  An application study of CT perfusion imaging in assessing metastatic involvement of perigastric lymph nodes in patients with T1 gastric cancer.

Authors:  Zongqiong Sun; Shudong Hu; Jie Li; Teng Wang; Zhihui Xie; Linfang Jin
Journal:  Br J Radiol       Date:  2019-12-03       Impact factor: 3.039

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