Abstract
Preoperative staging of gastric cancer with computed tomography alone exhibits poor diagnostic accuracy, which may lead to improper treatment decisions. We developed novel patient stratification criteria to select appropriate treatments for gastric cancer patients based on preoperative staging and clinicopathologic features. A total of 5352 consecutive patients who underwent gastrectomy for gastric cancer were evaluated. Preoperative stages were determined according to depth of invasion and nodal involvement on computed tomography. Logistic regression analysis was used to identify clinicopathological factors associated with the likelihood of proper patient stratification. The diagnostic accuracies of computed tomography scans for depth of invasion and nodal involvement were 67.1% and 74.1%, respectively. Among clinicopathologic factors, differentiated tumor histology, tumors smaller than 5 cm, and gross appearance of early gastric cancer on endoscopy were shown to be related to a more advanced stage of disease on preoperative computed tomography imaging than actual pathological stage. Additional consideration of undifferentiated histology, tumors larger than 5 cm, and grossly advanced gastric cancer on endoscopy increased the probability of selecting appropriate treatment from 75.5% to 94.4%. The addition of histology, tumor size, and endoscopic findings to preoperative staging improves patient stratification for more appropriate treatment of gastric cancer.
| Original language | English |
|---|---|
| Pages (from-to) | 79594-79603 |
| Number of pages | 10 |
| Journal | Oncotarget |
| Volume | 8 |
| Issue number | 45 |
| DOIs | |
| Publication status | Published - 2017 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Oncology
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Consideration of clinicopathologic features improves patient stratification for multimodal treatment of gastric cancer. / Cho, In; Kwon, In Gyu; Guner, Ali; Son, Taeil; Kim, Hyoung Il; Kang, Dae Ryong; Noh, Sung Hoon; Lim, Joon Seok; Hyung, Woo Jin.
In: Oncotarget, Vol. 8, No. 45, 01.01.2017, p. 79594-79603.Research output: Contribution to journal › Article
TY - JOUR
T1 - Consideration of clinicopathologic features improves patient stratification for multimodal treatment of gastric cancer
AU - Cho, In
AU - Kwon, In Gyu
AU - Guner, Ali
AU - Son, Taeil
AU - Kim, Hyoung Il
AU - Kang, Dae Ryong
AU - Noh, Sung Hoon
AU - Lim, Joon Seok
AU - Hyung, Woo Jin
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Preoperative staging of gastric cancer with computed tomography alone exhibits poor diagnostic accuracy, which may lead to improper treatment decisions. We developed novel patient stratification criteria to select appropriate treatments for gastric cancer patients based on preoperative staging and clinicopathologic features. A total of 5352 consecutive patients who underwent gastrectomy for gastric cancer were evaluated. Preoperative stages were determined according to depth of invasion and nodal involvement on computed tomography. Logistic regression analysis was used to identify clinicopathological factors associated with the likelihood of proper patient stratification. The diagnostic accuracies of computed tomography scans for depth of invasion and nodal involvement were 67.1% and 74.1%, respectively. Among clinicopathologic factors, differentiated tumor histology, tumors smaller than 5 cm, and gross appearance of early gastric cancer on endoscopy were shown to be related to a more advanced stage of disease on preoperative computed tomography imaging than actual pathological stage. Additional consideration of undifferentiated histology, tumors larger than 5 cm, and grossly advanced gastric cancer on endoscopy increased the probability of selecting appropriate treatment from 75.5% to 94.4%. The addition of histology, tumor size, and endoscopic findings to preoperative staging improves patient stratification for more appropriate treatment of gastric cancer.
AB - Preoperative staging of gastric cancer with computed tomography alone exhibits poor diagnostic accuracy, which may lead to improper treatment decisions. We developed novel patient stratification criteria to select appropriate treatments for gastric cancer patients based on preoperative staging and clinicopathologic features. A total of 5352 consecutive patients who underwent gastrectomy for gastric cancer were evaluated. Preoperative stages were determined according to depth of invasion and nodal involvement on computed tomography. Logistic regression analysis was used to identify clinicopathological factors associated with the likelihood of proper patient stratification. The diagnostic accuracies of computed tomography scans for depth of invasion and nodal involvement were 67.1% and 74.1%, respectively. Among clinicopathologic factors, differentiated tumor histology, tumors smaller than 5 cm, and gross appearance of early gastric cancer on endoscopy were shown to be related to a more advanced stage of disease on preoperative computed tomography imaging than actual pathological stage. Additional consideration of undifferentiated histology, tumors larger than 5 cm, and grossly advanced gastric cancer on endoscopy increased the probability of selecting appropriate treatment from 75.5% to 94.4%. The addition of histology, tumor size, and endoscopic findings to preoperative staging improves patient stratification for more appropriate treatment of gastric cancer.
UR - http://www.scopus.com/inward/record.url?scp=85030472110&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030472110&partnerID=8YFLogxK
U2 - 10.18632/oncotarget.18607
DO - 10.18632/oncotarget.18607
M3 - Article
AN - SCOPUS:85030472110
VL - 8
SP - 79594
EP - 79603
JO - Oncotarget
JF - Oncotarget
SN - 1949-2553
IS - 45
ER -