A Prospective Validation Study to Diagnose Serosal Invasion and Nodal Metastases of Gastric Cancer by Multidetector-row CT

Background Multidetector-row CT (MDCT) may provide accurate preoperative staging of resectable gastric cancer. However, the standard methods and criteria to diagnose the T and N stages to select the patients who are good candidates for neoadjuvant chemotherapy have not been established yet. Methods...

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Veröffentlicht in:Annals of surgical oncology 2013-06, Vol.20 (6), p.2016-2022
Hauptverfasser: Hasegawa, Shinichi, Yoshikawa, Takaki, Shirai, Junya, Fujikawa, Hirohito, Cho, Haruhiko, Doiuchi, Tsunehiro, Yoshida, Tetsuo, Sato, Tsutomu, Oshima, Takashi, Yukawa, Norio, Rino, Yasushi, Masuda, Munetaka, Tsuburaya, Akira
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container_end_page 2022
container_issue 6
container_start_page 2016
container_title Annals of surgical oncology
container_volume 20
creator Hasegawa, Shinichi
Yoshikawa, Takaki
Shirai, Junya
Fujikawa, Hirohito
Cho, Haruhiko
Doiuchi, Tsunehiro
Yoshida, Tetsuo
Sato, Tsutomu
Oshima, Takashi
Yukawa, Norio
Rino, Yasushi
Masuda, Munetaka
Tsuburaya, Akira
description Background Multidetector-row CT (MDCT) may provide accurate preoperative staging of resectable gastric cancer. However, the standard methods and criteria to diagnose the T and N stages to select the patients who are good candidates for neoadjuvant chemotherapy have not been established yet. Methods The aim of this prospective study was to evaluate the accuracy of MDCT to diagnose the serosal invasion and nodal metastases of gastric cancer. Patients who had gastric adenocarcinoma underwent MDCT scanning using a standardized method. The T and N stage were diagnosed by prespecified criteria. The analyses were performed in the patients who had cN0–2 and M0 tumors and underwent curative gastrectomy as a primary treatment. The accuracy was calculated by comparing the results of MDCT with the histopathological findings. Results A total of 315 patients were analyzed. The overall diagnostic accuracy (95 % confidence interval) of T staging was 71.4 % (225 of 315, 66.2–76.1). The accuracy, sensitivity, and specificity for serosal invasion were 85.7 % (81.4–89.1), 54.5 % (42.6–66.0), and 94.0 % (90.3–96.3), respectively. The false-positive rate for serosal invasion was 6.0 % (2.9–7.7). The overall diagnostic accuracy of N staging was 75.9 % (239 of 315, 70.9–80.3). The accuracy, sensitivity, and specificity for nodal metastases were 81.3 % (76.6–85.2), 46.4 % (36.8–56.3), and 96.8 % (93.5–98.4), respectively. The false-positive rate for nodal metastases was 3.2 % (1.6–6.5 %). Conclusions These results suggest that MDCT provides an accurate diagnosis with high specificity and a low false-positive rate and can be used to select the patients who are candidates for preoperative chemotherapy.
doi_str_mv 10.1245/s10434-012-2817-1
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However, the standard methods and criteria to diagnose the T and N stages to select the patients who are good candidates for neoadjuvant chemotherapy have not been established yet. Methods The aim of this prospective study was to evaluate the accuracy of MDCT to diagnose the serosal invasion and nodal metastases of gastric cancer. Patients who had gastric adenocarcinoma underwent MDCT scanning using a standardized method. The T and N stage were diagnosed by prespecified criteria. The analyses were performed in the patients who had cN0–2 and M0 tumors and underwent curative gastrectomy as a primary treatment. The accuracy was calculated by comparing the results of MDCT with the histopathological findings. Results A total of 315 patients were analyzed. The overall diagnostic accuracy (95 % confidence interval) of T staging was 71.4 % (225 of 315, 66.2–76.1). The accuracy, sensitivity, and specificity for serosal invasion were 85.7 % (81.4–89.1), 54.5 % (42.6–66.0), and 94.0 % (90.3–96.3), respectively. The false-positive rate for serosal invasion was 6.0 % (2.9–7.7). The overall diagnostic accuracy of N staging was 75.9 % (239 of 315, 70.9–80.3). The accuracy, sensitivity, and specificity for nodal metastases were 81.3 % (76.6–85.2), 46.4 % (36.8–56.3), and 96.8 % (93.5–98.4), respectively. The false-positive rate for nodal metastases was 3.2 % (1.6–6.5 %). Conclusions These results suggest that MDCT provides an accurate diagnosis with high specificity and a low false-positive rate and can be used to select the patients who are candidates for preoperative chemotherapy.</description><identifier>ISSN: 1068-9265</identifier><identifier>EISSN: 1534-4681</identifier><identifier>DOI: 10.1245/s10434-012-2817-1</identifier><identifier>PMID: 23266583</identifier><language>eng</language><publisher>New York: Springer-Verlag</publisher><subject>Adenocarcinoma - diagnostic imaging ; Adenocarcinoma - secondary ; Adenocarcinoma - therapy ; Adult ; Aged ; Aged, 80 and over ; Aorta ; Chemotherapy, Adjuvant ; Confidence Intervals ; False Positive Reactions ; Female ; Gastrectomy ; Gynecologic Oncology ; Humans ; Lymph Node Excision ; Lymph Nodes - pathology ; Lymph Nodes - surgery ; Lymphatic Metastasis ; Male ; Medicine ; Medicine &amp; Public Health ; Middle Aged ; Multidetector Computed Tomography ; Neoadjuvant Therapy ; Neoplasm Invasiveness ; Neoplasm Staging ; Oncology ; Patient Selection ; Peritoneum - pathology ; Sensitivity and Specificity ; Stomach ; Stomach Neoplasms - diagnostic imaging ; Stomach Neoplasms - pathology ; Stomach Neoplasms - therapy ; Surgery ; Surgical Oncology</subject><ispartof>Annals of surgical oncology, 2013-06, Vol.20 (6), p.2016-2022</ispartof><rights>Society of Surgical Oncology 2012</rights><rights>Society of Surgical Oncology 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-390fe1c15eb69ff51a6b39c352389cd84301be02dca4352b017c238f2f613dff3</citedby><cites>FETCH-LOGICAL-c438t-390fe1c15eb69ff51a6b39c352389cd84301be02dca4352b017c238f2f613dff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1245/s10434-012-2817-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1245/s10434-012-2817-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23266583$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hasegawa, Shinichi</creatorcontrib><creatorcontrib>Yoshikawa, Takaki</creatorcontrib><creatorcontrib>Shirai, Junya</creatorcontrib><creatorcontrib>Fujikawa, Hirohito</creatorcontrib><creatorcontrib>Cho, Haruhiko</creatorcontrib><creatorcontrib>Doiuchi, Tsunehiro</creatorcontrib><creatorcontrib>Yoshida, Tetsuo</creatorcontrib><creatorcontrib>Sato, Tsutomu</creatorcontrib><creatorcontrib>Oshima, Takashi</creatorcontrib><creatorcontrib>Yukawa, Norio</creatorcontrib><creatorcontrib>Rino, Yasushi</creatorcontrib><creatorcontrib>Masuda, Munetaka</creatorcontrib><creatorcontrib>Tsuburaya, Akira</creatorcontrib><title>A Prospective Validation Study to Diagnose Serosal Invasion and Nodal Metastases of Gastric Cancer by Multidetector-row CT</title><title>Annals of surgical oncology</title><addtitle>Ann Surg Oncol</addtitle><addtitle>Ann Surg Oncol</addtitle><description>Background Multidetector-row CT (MDCT) may provide accurate preoperative staging of resectable gastric cancer. However, the standard methods and criteria to diagnose the T and N stages to select the patients who are good candidates for neoadjuvant chemotherapy have not been established yet. Methods The aim of this prospective study was to evaluate the accuracy of MDCT to diagnose the serosal invasion and nodal metastases of gastric cancer. Patients who had gastric adenocarcinoma underwent MDCT scanning using a standardized method. The T and N stage were diagnosed by prespecified criteria. The analyses were performed in the patients who had cN0–2 and M0 tumors and underwent curative gastrectomy as a primary treatment. The accuracy was calculated by comparing the results of MDCT with the histopathological findings. Results A total of 315 patients were analyzed. The overall diagnostic accuracy (95 % confidence interval) of T staging was 71.4 % (225 of 315, 66.2–76.1). The accuracy, sensitivity, and specificity for serosal invasion were 85.7 % (81.4–89.1), 54.5 % (42.6–66.0), and 94.0 % (90.3–96.3), respectively. The false-positive rate for serosal invasion was 6.0 % (2.9–7.7). The overall diagnostic accuracy of N staging was 75.9 % (239 of 315, 70.9–80.3). The accuracy, sensitivity, and specificity for nodal metastases were 81.3 % (76.6–85.2), 46.4 % (36.8–56.3), and 96.8 % (93.5–98.4), respectively. The false-positive rate for nodal metastases was 3.2 % (1.6–6.5 %). Conclusions These results suggest that MDCT provides an accurate diagnosis with high specificity and a low false-positive rate and can be used to select the patients who are candidates for preoperative chemotherapy.</description><subject>Adenocarcinoma - diagnostic imaging</subject><subject>Adenocarcinoma - secondary</subject><subject>Adenocarcinoma - therapy</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aorta</subject><subject>Chemotherapy, Adjuvant</subject><subject>Confidence Intervals</subject><subject>False Positive Reactions</subject><subject>Female</subject><subject>Gastrectomy</subject><subject>Gynecologic Oncology</subject><subject>Humans</subject><subject>Lymph Node Excision</subject><subject>Lymph Nodes - pathology</subject><subject>Lymph Nodes - surgery</subject><subject>Lymphatic Metastasis</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Middle Aged</subject><subject>Multidetector Computed Tomography</subject><subject>Neoadjuvant Therapy</subject><subject>Neoplasm Invasiveness</subject><subject>Neoplasm Staging</subject><subject>Oncology</subject><subject>Patient Selection</subject><subject>Peritoneum - pathology</subject><subject>Sensitivity and Specificity</subject><subject>Stomach</subject><subject>Stomach Neoplasms - diagnostic imaging</subject><subject>Stomach Neoplasms - pathology</subject><subject>Stomach Neoplasms - therapy</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><issn>1068-9265</issn><issn>1534-4681</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kVFrFDEQx4MotlY_gC8S8MWX1Uyy2cs-llNroVWh1deQTSZly97mTLKV89M751URQQhkmPnlP5P5M_YcxGuQrX5TQLSqbQTIRhpYNfCAHYOmTNsZeEix6EzTy04fsSel3AoBKyX0Y3Yklew6bdQx-3HKP-dUtujreIf8q5vG4OqYZn5Vl7DjNfG3o7uZU0F-hUS6iZ_Pd67sETcH_jEFSl1idYUOFp4iP6M4j56v3ewx82HHL5epjgErtUm5yek7X18_ZY-imwo-u79P2Jf3767XH5qLT2fn69OLxrfK1Eb1IiJ40Dh0fYwaXDeo3istlel9MK0SMKCQwbuWkgN90lMpytiBCjGqE_bqoLvN6duCpdrNWDxOk5sxLcWC0kq00vRA6Mt_0Nu05Jmm-0WtaK3SEAUHytM-SsZot3ncuLyzIOzeGHswxpIxdm-M3Su_uFdehg2GPy9-O0GAPACFSvMN5r9a_1f1J5prmFI</recordid><startdate>20130601</startdate><enddate>20130601</enddate><creator>Hasegawa, Shinichi</creator><creator>Yoshikawa, Takaki</creator><creator>Shirai, Junya</creator><creator>Fujikawa, Hirohito</creator><creator>Cho, Haruhiko</creator><creator>Doiuchi, Tsunehiro</creator><creator>Yoshida, Tetsuo</creator><creator>Sato, Tsutomu</creator><creator>Oshima, Takashi</creator><creator>Yukawa, Norio</creator><creator>Rino, Yasushi</creator><creator>Masuda, Munetaka</creator><creator>Tsuburaya, Akira</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20130601</creationdate><title>A Prospective Validation Study to Diagnose Serosal Invasion and Nodal Metastases of Gastric Cancer by Multidetector-row CT</title><author>Hasegawa, Shinichi ; Yoshikawa, Takaki ; Shirai, Junya ; Fujikawa, Hirohito ; Cho, Haruhiko ; Doiuchi, Tsunehiro ; Yoshida, Tetsuo ; Sato, Tsutomu ; Oshima, Takashi ; Yukawa, Norio ; Rino, Yasushi ; Masuda, Munetaka ; Tsuburaya, Akira</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-390fe1c15eb69ff51a6b39c352389cd84301be02dca4352b017c238f2f613dff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adenocarcinoma - diagnostic imaging</topic><topic>Adenocarcinoma - secondary</topic><topic>Adenocarcinoma - therapy</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aorta</topic><topic>Chemotherapy, Adjuvant</topic><topic>Confidence Intervals</topic><topic>False Positive Reactions</topic><topic>Female</topic><topic>Gastrectomy</topic><topic>Gynecologic Oncology</topic><topic>Humans</topic><topic>Lymph Node Excision</topic><topic>Lymph Nodes - pathology</topic><topic>Lymph Nodes - surgery</topic><topic>Lymphatic Metastasis</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Middle Aged</topic><topic>Multidetector Computed Tomography</topic><topic>Neoadjuvant Therapy</topic><topic>Neoplasm Invasiveness</topic><topic>Neoplasm Staging</topic><topic>Oncology</topic><topic>Patient Selection</topic><topic>Peritoneum - pathology</topic><topic>Sensitivity and Specificity</topic><topic>Stomach</topic><topic>Stomach Neoplasms - diagnostic imaging</topic><topic>Stomach Neoplasms - pathology</topic><topic>Stomach Neoplasms - therapy</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hasegawa, Shinichi</creatorcontrib><creatorcontrib>Yoshikawa, Takaki</creatorcontrib><creatorcontrib>Shirai, Junya</creatorcontrib><creatorcontrib>Fujikawa, Hirohito</creatorcontrib><creatorcontrib>Cho, Haruhiko</creatorcontrib><creatorcontrib>Doiuchi, Tsunehiro</creatorcontrib><creatorcontrib>Yoshida, Tetsuo</creatorcontrib><creatorcontrib>Sato, Tsutomu</creatorcontrib><creatorcontrib>Oshima, Takashi</creatorcontrib><creatorcontrib>Yukawa, Norio</creatorcontrib><creatorcontrib>Rino, Yasushi</creatorcontrib><creatorcontrib>Masuda, Munetaka</creatorcontrib><creatorcontrib>Tsuburaya, Akira</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Annals of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hasegawa, Shinichi</au><au>Yoshikawa, Takaki</au><au>Shirai, Junya</au><au>Fujikawa, Hirohito</au><au>Cho, Haruhiko</au><au>Doiuchi, Tsunehiro</au><au>Yoshida, Tetsuo</au><au>Sato, Tsutomu</au><au>Oshima, Takashi</au><au>Yukawa, Norio</au><au>Rino, Yasushi</au><au>Masuda, Munetaka</au><au>Tsuburaya, Akira</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Prospective Validation Study to Diagnose Serosal Invasion and Nodal Metastases of Gastric Cancer by Multidetector-row CT</atitle><jtitle>Annals of surgical oncology</jtitle><stitle>Ann Surg Oncol</stitle><addtitle>Ann Surg Oncol</addtitle><date>2013-06-01</date><risdate>2013</risdate><volume>20</volume><issue>6</issue><spage>2016</spage><epage>2022</epage><pages>2016-2022</pages><issn>1068-9265</issn><eissn>1534-4681</eissn><abstract>Background Multidetector-row CT (MDCT) may provide accurate preoperative staging of resectable gastric cancer. However, the standard methods and criteria to diagnose the T and N stages to select the patients who are good candidates for neoadjuvant chemotherapy have not been established yet. Methods The aim of this prospective study was to evaluate the accuracy of MDCT to diagnose the serosal invasion and nodal metastases of gastric cancer. Patients who had gastric adenocarcinoma underwent MDCT scanning using a standardized method. The T and N stage were diagnosed by prespecified criteria. The analyses were performed in the patients who had cN0–2 and M0 tumors and underwent curative gastrectomy as a primary treatment. The accuracy was calculated by comparing the results of MDCT with the histopathological findings. Results A total of 315 patients were analyzed. The overall diagnostic accuracy (95 % confidence interval) of T staging was 71.4 % (225 of 315, 66.2–76.1). The accuracy, sensitivity, and specificity for serosal invasion were 85.7 % (81.4–89.1), 54.5 % (42.6–66.0), and 94.0 % (90.3–96.3), respectively. The false-positive rate for serosal invasion was 6.0 % (2.9–7.7). The overall diagnostic accuracy of N staging was 75.9 % (239 of 315, 70.9–80.3). The accuracy, sensitivity, and specificity for nodal metastases were 81.3 % (76.6–85.2), 46.4 % (36.8–56.3), and 96.8 % (93.5–98.4), respectively. The false-positive rate for nodal metastases was 3.2 % (1.6–6.5 %). Conclusions These results suggest that MDCT provides an accurate diagnosis with high specificity and a low false-positive rate and can be used to select the patients who are candidates for preoperative chemotherapy.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>23266583</pmid><doi>10.1245/s10434-012-2817-1</doi><tpages>7</tpages></addata></record>
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subjects Adenocarcinoma - diagnostic imaging
Adenocarcinoma - secondary
Adenocarcinoma - therapy
Adult
Aged
Aged, 80 and over
Aorta
Chemotherapy, Adjuvant
Confidence Intervals
False Positive Reactions
Female
Gastrectomy
Gynecologic Oncology
Humans
Lymph Node Excision
Lymph Nodes - pathology
Lymph Nodes - surgery
Lymphatic Metastasis
Male
Medicine
Medicine & Public Health
Middle Aged
Multidetector Computed Tomography
Neoadjuvant Therapy
Neoplasm Invasiveness
Neoplasm Staging
Oncology
Patient Selection
Peritoneum - pathology
Sensitivity and Specificity
Stomach
Stomach Neoplasms - diagnostic imaging
Stomach Neoplasms - pathology
Stomach Neoplasms - therapy
Surgery
Surgical Oncology
title A Prospective Validation Study to Diagnose Serosal Invasion and Nodal Metastases of Gastric Cancer by Multidetector-row CT
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