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대형 위암의 임상병리학적 분석 및 예후Clinicopathologic Features and Prognostic Factors for Patients with Large Gastric Tumors

Other Titles
Clinicopathologic Features and Prognostic Factors for Patients with Large Gastric Tumors
Authors
장유진박중민김종한박성수김종석목영재
Issue Date
Dec-2006
Publisher
대한위암학회
Keywords
위암; 크기; 예후; Gastric cancer; Size; Prognosis
Citation
Journal of Gastric Cancer, v.6, no.4, pp 244 - 249
Pages
6
Journal Title
Journal of Gastric Cancer
Volume
6
Number
4
Start Page
244
End Page
249
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/19187
DOI
10.5230/jkgca.2006.6.4.244
ISSN
2093-582X
2093-5641
Abstract
Purpose Tumor size has been reported to be one of the prognostic factors in the preoperative setting and 8 cm has been confirmed as a cut-off value for large gastric tumors with respect to postoperative complications. The aim of this study was to investigate the clinicopathologic features and the prognosis in patients with tumors larger than 8 cm in diameter. Materials and Methods We retrospectively studied 2,260 patients with gastric cancer who underwent a gastrectomy from 1983 to 2001 at the Department of Surgery, Korea University College of Medicine. For a comparative analysis we divided the cases into the large and the small groups according to tumor size. The clinicopathological factors associated with large gastric tumors were analyzed by using univariate and multivariate analyses. To determine which variables were independent prognostic factors for overall survival, we applied the Cox proportional hazards model and we used P<0.05 as the cutoff value for statistical significance. Results Univariate and multivariate analyses disclosed that tumor location (P<0.001), resection type (P<0.001), curability (P<0.001), depth of invasion (P<0.001), number of metastatic lymph nodes (P<0.001), differentiation (P<0.001) and combined resection (P<0.001) were significantly different between the two groups. The independent factors for survival identified by using the Cox proportional hazards model for large gastric tumors were nodal status (P<0.001), curative resection (P<0.001), depth of invasion (P=0.010), type of resection (P=0.018) and age (P=0.033). Conclusion Large gastric tumors showed more aggressive local findings than their smaller counterparts. In patients with large gastric tumors, a curative resection was the most important factor for the prognosis. Therefore, we suggest that every effort should be made to do a curative gastrectomy and an accurate preoperative examination.
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