A nomogram for predicting recurrence after complete resection for thymic epithelial tumors based on the TNM classification: A multi-institutional retrospective analysis
- Authors
- Yun, JK[Yun, Jae Kwang]; Lee, GD[Lee, Geun Dong]; Kim, HR[Kim, Hyeong Ryul]; Kim, DK[Kim, Dong Kwan]; Zo, JI[Zo, Jae Il]; Shim, YM[Shim, Young Mog]; Kang, CH[Kang, Chang Hyun]; Kim, YT[Kim, Young Tae]; Paik, HC[Paik, Hyo Chae]; Chung, KY[Chung, Kyoung Young]; Hwang, SK[Hwang, Su Kyung]; Choi, SH[Choi, Se Hoon]; Kim, YH[Kim, Yong-Hee]; Park, SI[Park, Seung-Il]; Jung, JJ[Jung, Jae Jun]; Shin, S[Shin, Sumin]; Cho, JH[Cho, Jong Ho]; Kim, HK[Kim, Hong Kwan]; Choi, YS[Choi, Yong Soo]; Kim, J[Kim, Jhingook]; Park, S[Park, Samina]; Hyun, KY[Hyun, Kwan Yong]; Hwang, Y[Hwang, Yoohwa]; Lee, HJ[Lee, Hyun Joo]; Park, IK[Park, In Kyu]; Lee, CY[Lee, Chang Young]; Lee, JG[Lee, Jin Gu]; Kim, DJ[Kim, Dae Joon]
- Issue Date
- 15-Jun-2019
- Publisher
- WILEY
- Keywords
- calibration; nomogram; recurrence; staging; thymic malignancy
- Citation
- JOURNAL OF SURGICAL ONCOLOGY, v.119, no.8, pp.1161 - 1169
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF SURGICAL ONCOLOGY
- Volume
- 119
- Number
- 8
- Start Page
- 1161
- End Page
- 1169
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/9581
- DOI
- 10.1002/jso.25462
- ISSN
- 0022-4790
- Abstract
- Objectives This study aimed to compare the predictive ability between the Masaoka-Koga (M-K) staging system and the 8th TNM staging system for the recurrence of thymic epithelial tumors (TETs). In addition, a nomogram was developed on the basis of the proposed TNM classification to predict individual recurrence rate. Methods A retrospective study was performed on 445 patients who underwent complete resection (R0) of TETs between January 2000 and February 2013. Concordance index (C-index) was used as a statistical indicator to quantify the prediction power of the prediction models. Results In multivariate analysis, tumor stage and WHO classification were independent recurrence factors in a predictive model on the basis of M-K and TNM stage. The TNM model showed higher C-index than the M-K model (0.837 vs 0.817). The nomogram, on the basis of the TNM model, revealed a highly predictive performance, with a bootstrap-corrected C-index of 0.85 (95% CI, 0.76 to 0.93). Conclusions A predictive model based on the 8th TNM stage was slightly better than that based on M-K stage with respect to recurrence after R0 of TETs. The proposed nomogram could be applied to estimate the individual recurrence rate and make decisions for proper surveillance.
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- Appears in
Collections - Medicine > Department of Medicine > 1. Journal Articles
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