BACKGROUND: In this retrospective study, we developed and internally validate a nomogram for predicting 5-year metastasis probability for nonmetastatic extremity osteosarcoma. PATIENTS AND METHODS: We reviewed 365 osteosarcoma patients treated at our institute from 1990 to 2003. Clinicopathologic variables were recorded. Multivariate analysis using Cox proportional hazards regression was done and this Cox model was used as the basis for the nomogram. RESULTS: By American Joint Committee on Cancer (AJCC) staging system, 141 patients (38.6%) were stage IIA and 224 (61.4%) were stage IIB. Multivariate Cox model identified patient age at diagnosis, tumor size, humeral location, and tumor necrosis rate after chemotherapy as correlated with metastasis-free survival. The degree of contribution of each covariate to the total point was tumor location, tumor necrosis rate, maximal tumor diameter, and age in decreasing order. The concordance index for the model was 0.78. Nomogram discrimination was superior to that of AJCC stage (concordance index 0.78 versus 0.68; P = 0.02) and histologic response grouping (concordance index 0.78 versus 0.69; P = 0.0004). CONCLUSIONS: We devised a nomogram for nonmetastatic osteosarcoma that proposes improved estimates of metastasis over AJCC staging system or tumor necrosis rate. We suggest that this nomogram allows individualized risk assessments and could be used as the basis for risk-adapted therapy.
BACKGROUND: In this retrospective study, we developed and internally validate a nomogram for predicting 5-year metastasis probability for nonmetastatic extremity osteosarcoma. PATIENTS AND METHODS: We reviewed 365 osteosarcomapatients treated at our institute from 1990 to 2003. Clinicopathologic variables were recorded. Multivariate analysis using Cox proportional hazards regression was done and this Cox model was used as the basis for the nomogram. RESULTS: By American Joint Committee on Cancer (AJCC) staging system, 141 patients (38.6%) were stage IIA and 224 (61.4%) were stage IIB. Multivariate Cox model identified patient age at diagnosis, tumor size, humeral location, and tumor necrosis rate after chemotherapy as correlated with metastasis-free survival. The degree of contribution of each covariate to the total point was tumor location, tumor necrosis rate, maximal tumor diameter, and age in decreasing order. The concordance index for the model was 0.78. Nomogram discrimination was superior to that of AJCC stage (concordance index 0.78 versus 0.68; P = 0.02) and histologic response grouping (concordance index 0.78 versus 0.69; P = 0.0004). CONCLUSIONS: We devised a nomogram for nonmetastatic osteosarcoma that proposes improved estimates of metastasis over AJCC staging system or tumor necrosis rate. We suggest that this nomogram allows individualized risk assessments and could be used as the basis for risk-adapted therapy.
Authors: Stein J Janssen; Andrea S van der Heijden; Maarten van Dijke; John E Ready; Kevin A Raskin; Marco L Ferrone; Francis J Hornicek; Joseph H Schwab Journal: Clin Orthop Relat Res Date: 2015-07-09 Impact factor: 4.176
Authors: Philipp T Funovics; Gundula Edelhauser; Martin A Funovics; Christoph Laux; Dominik Berzaczy; Bernd Kubista; Rainer I Kotz; Martin Dominkus Journal: Int Orthop Date: 2011-01-21 Impact factor: 3.075
Authors: Lawrence M White; Angela Atinga; Ali M Naraghi; Katherine Lajkosz; Jay S Wunder; Peter Ferguson; Kim Tsoi; Anthony Griffin; Masoom Haider Journal: Skeletal Radiol Date: 2022-07-01 Impact factor: 2.199