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Initial Metabolic Tumor Volume Measured by18F-FDG PET/CT Can Predict the Outcome of Osteosarcoma of the Extremities

Authors :
Sang Moo Lim
Ilhan Lim
Chang Woon Choi
Byung Hyun Byun
Young-Seok Seo
Jae-Soo Koh
Wan Hyeong Cho
Soo-Yong Lee
Jihyun Park
Chang-Bae Kong
Dae-Geun Jeon
Source :
Journal of Nuclear Medicine. 54:1725-1732
Publication Year :
2013
Publisher :
Society of Nuclear Medicine, 2013.

Abstract

We evaluated the ability of metabolic and volumetric parameters measured by pretreatment 18F-FDG PET/CT to predict the survival of patients with osteosarcoma of the extremities. Methods: The records of 83 patients with American Joint Committee on Cancer stage II extremity osteosarcoma treated with surgery and chemotherapy were retrospectively reviewed. Imaging parameters (maximum standardized uptake value, metabolic tumor volume [MTV], total lesion glycolysis, and tumor volume based on MR images) were measured before treatment, and histologic responses to neoadjuvant chemotherapy were assessed by examination of postsurgical specimens. Receiver-operating-characteristic curve analyses and the Cox proportional hazards model were used to analyze whether imaging and clinicopathologic parameters could predict metastasis-free survival. Results: Of the imaging parameters, MTV at the fixed standardized uptake value threshold of 2.0 (MTV(2.0)) most accurately predicted metastasis by receiver-operating-characteristic curve analysis (area under the curve = 0.679, P = 0.011). By multivariate analysis, MTV(2.0) > 105 mL (relative risk, 3.93; 95% confidence interval, 1.55–9.92) and poor response to neoadjuvant chemotherapy (relative risk, 4.83; 95% confidence interval, 1.64–14.21) independently shortened metastasis-free survival (P = 0.004 for both parameters). The stratification of patients by the combined criteria of MTV(2.0) and histologic response predicted outcome in more detail. Conclusion: MTV is an independent predictor of metastasis in patients with osteosarcoma of the extremities. The combination of MTV and histologic response predicts survival more accurately than the chemotherapeutic response alone.

Details

ISSN :
2159662X and 01615505
Volume :
54
Database :
OpenAIRE
Journal :
Journal of Nuclear Medicine
Accession number :
edsair.doi.dedup.....467261aab162c3f4377432c798b824a2
Full Text :
https://doi.org/10.2967/jnumed.112.117697