Literature DB >> 23949909

Initial metabolic tumor volume measured by 18F-FDG PET/CT can predict the outcome of osteosarcoma of the extremities.

Byung Hyun Byun1, Chang-Bae Kong, Jihyun Park, Youngseok Seo, Ilhan Lim, Chang Woon Choi, Wan Hyeong Cho, Dae-Geun Jeon, Jae-Soo Koh, Soo-Yong Lee, Sang Moo Lim.   

Abstract

UNLABELLED: We evaluated the ability of metabolic and volumetric parameters measured by pretreatment (18)F-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.

Entities:  

Keywords:  18F-FDG; PET/CT; metabolic tumor volume; osteosarcoma; survival

Mesh:

Substances:

Year:  2013        PMID: 23949909     DOI: 10.2967/jnumed.112.117697

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  17 in total

1.  18F-FDG Uptake During Early Adjuvant Chemotherapy Predicts Histologic Response in Pediatric and Young Adult Patients with Osteosarcoma.

Authors:  James C Davis; Najat C Daw; Fariba Navid; Catherine A Billups; Jianrong Wu; Armita Bahrami; Jesse J Jenkins; Scott E Snyder; Wilburn E Reddick; Victor M Santana; M Beth McCarville; Junyu Guo; Barry L Shulkin
Journal:  J Nucl Med       Date:  2017-06-13       Impact factor: 10.057

2.  Early response monitoring to neoadjuvant chemotherapy in osteosarcoma using sequential ¹⁸F-FDG PET/CT and MRI.

Authors:  Byung Hyun Byun; Chang-Bae Kong; Ilhan Lim; Byung Il Kim; Chang Woon Choi; Won Seok Song; Wan Hyeong Cho; Dae-Geun Jeon; Jae-Soo Koh; Soo-Yong Lee; Sang Moo Lim
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-03-21       Impact factor: 9.236

Review 3.  Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better?

Authors:  Hyung-Jun Im; Tyler Bradshaw; Meiyappan Solaiyappan; Steve Y Cho
Journal:  Nucl Med Mol Imaging       Date:  2017-09-19

4.  Multi-level otsu method to define metabolic tumor volume in positron emission tomography.

Authors:  Hyung-Jun Im; Meiyappan Solaiyappan; Inki Lee; Tyler Bradshaw; Najat C Daw; Fariba Navid; Barry L Shulkin; Steve Y Cho
Journal:  Am J Nucl Med Mol Imaging       Date:  2018-12-20

5.  Comparison of Quantitative Methods on FDG PET/CT for Treatment Response Evaluation of Metastatic Colorectal Cancer.

Authors:  Ji-In Bang; Yoojoo Lim; Jin Chul Paeng; Sae-Won Han; Sohyun Park; Jung Min Lee; Hyun Joo Kim; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Tae-You Kim; Keon Wook Kang
Journal:  Nucl Med Mol Imaging       Date:  2016-09-13

6.  Diagnostic value of 18F-FDG PET/CT in discriminating between benign and malignant lesions of the ribs.

Authors:  Sunju Choi; Yong-Il Kim; Geun Dong Lee; Sehoon Choi; Hyeong Ryul Kim; Yong-Hee Kim; Dong Kwan Kim; Seung-Il Park; Jin-Sook Ryu
Journal:  Medicine (Baltimore)       Date:  2022-07-08       Impact factor: 1.817

Review 7.  PET/CT in pediatric oncology.

Authors:  Gabriele Masselli; Cristina De Angelis; Saadi Sollaku; Emanuele Casciani; Gianfranco Gualdi
Journal:  Am J Nucl Med Mol Imaging       Date:  2020-04-15

8.  Reproducibility and uptake time dependency of volume-based parameters on FDG-PET for lung cancer.

Authors:  Tomoka Kitao; Kenji Hirata; Katsumi Shima; Takashi Hayashi; Mitsunori Sekizawa; Toshiki Takei; Wataru Ichimura; Masao Harada; Keishi Kondo; Nagara Tamaki
Journal:  BMC Cancer       Date:  2016-08-02       Impact factor: 4.430

9.  A semi-automated technique determining the liver standardized uptake value reference for tumor delineation in FDG PET-CT.

Authors:  Kenji Hirata; Kentaro Kobayashi; Koon-Pong Wong; Osamu Manabe; Andrew Surmak; Nagara Tamaki; Sung-Cheng Huang
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

10.  Volume-Based F-18 FDG PET/CT Imaging Markers Provide Supplemental Prognostic Information to Histologic Grading in Patients With High-Grade Bone or Soft Tissue Sarcoma.

Authors:  Kim Francis Andersen; Hanna Maria Fuglo; Sine Hvid Rasmussen; Michael Mork Petersen; Annika Loft
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

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