초록접수 현황
| 17F-097 | 구연 미채택시 포럼 발표 |
Nomogram Predicting Recurrence After Complete Resection for Thymic Epithelial Tumors Based on the TNM Classification
Geun Dong Lee¹, Hyeong Ryul Kim¹, Su Kyung Hwang¹, Se Hoon Choi¹, Yong-Hee Kim¹, Dong Kwan Kim¹,
Seung-Il Park¹, Jae Jun Jung², Sumin Shin², Jong Ho Cho², Hong Kwan Kim², Yong Soo Choi², Jhingook Kim², Jae Il Zo², Young Mog Shim², Samina Park³, Kwan Yong Hyun³, Yoohwa Hwang³, Hyun Joo Lee³, In Kyu Park³, Chang Hyun Kang³, Young Tae Kim³, Chang Young Lee⁴, Jin Gu Lee⁴, Dae Joon Kim⁴, Hyo Chae Paik⁴, Kyoung Young Chung⁴
¹Department of Thoracic and Cardiovascular Surgery, Asan Medical Center, Ulsan University College of Medicine, Seoul, Republic of Korea., ²Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., ³Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea., ⁴Department of Thoracic and Cardiovascular Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
Purpose : Few published studies have addressed individual patient risk after curative resection for thymic epithelial tumors. The aim of this study was to combine clinicopathologic variables associated with recurrence after complete resection for thymic epithelial tumors into a prediction nomogram for individual risk prediction base on the newly proposed TNM classification by ITMIG/IASLC.
Methods : From a retrospective multi-institutional cohort (Korean Association for Research on the thymus), a total of 442 patients who underwent R0 resection with lymph node sampling or dissection between January 2000 and Dec 2013 were extracted and analyzed. Multivariate analysis by Cox proportional hazards regression was performed and the nomogram was constructed. Discrimination and calibration were performed.
Results : The multivariate Cox model identified WHO classification, T status, N status, and M status were independent predictive factors for recurrence. In addition, age, sex were included as covariates associated with recurrence (Figure 1). Nomogram calibration (Hosmer and LemShow test, p = 0.93) and discrimination (c-index = 0.856, 95% CI: 0.797-0.9146) appeared to be good.
Conclusion : Nomogram was developed to predict recurrence after complete resection for thymic epithelial tumors based on the TNM staging system. This tool may be useful for patient counseling and follow-up. Additional internal or external validation should be performed to finalize the model.
Methods : From a retrospective multi-institutional cohort (Korean Association for Research on the thymus), a total of 442 patients who underwent R0 resection with lymph node sampling or dissection between January 2000 and Dec 2013 were extracted and analyzed. Multivariate analysis by Cox proportional hazards regression was performed and the nomogram was constructed. Discrimination and calibration were performed.
Results : The multivariate Cox model identified WHO classification, T status, N status, and M status were independent predictive factors for recurrence. In addition, age, sex were included as covariates associated with recurrence (Figure 1). Nomogram calibration (Hosmer and LemShow test, p = 0.93) and discrimination (c-index = 0.856, 95% CI: 0.797-0.9146) appeared to be good.
Conclusion : Nomogram was developed to predict recurrence after complete resection for thymic epithelial tumors based on the TNM staging system. This tool may be useful for patient counseling and follow-up. Additional internal or external validation should be performed to finalize the model.
첨부파일 : 초록접수 Figure.docx
책임저자: Hyeong Ryul Kim
Department of Thoracic and Cardiovascular Surgery, Asan Medical Center, Ulsan University College of Medicine, Seoul, Republic of Korea
발표자: Geun Dong Lee, E-mail : geundy@hanmail.net