Metabolic Tumor Volume by (18)F-FDG PET/CT Can Predict the Clinical Outcome of Primary Malignant Spine/Spinal Tumors

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Abstract

BACKGROUND AND PURPOSE: Primary malignant spine/spinal tumors (PMSTs) are rare and life-threatening diseases. In this study, we demonstrated the advantage of volume-based (18)F-FDG PET/CT metabolic parameter, metabolic tumor volume (MTV), for assessing the aggressiveness of PMSTs.

MATERIALS AND METHODS: We retrospectively reviewed 27 patients with PMSTs and calculated SUVmax, MTV, and total lesion glycolysis (TLG) to compare their accuracy in predicting progression-free survival (PFS) and overall survival (OS) by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate analyses were used to compare the reliability of the metabolic parameters and various clinical factors.

RESULTS: MTV exhibited greater accuracy than SUVmax or TLG. The cut-off values for PFS and OS derived from the AUC data were MTV 45 ml and 83 ml and TLG 250 SUV⁎ml and 257 SUV⁎ml, respectively. MTV above cut-off value, but not TLG, was identified as significant prognostic factor for PFS by log-lank test (p = 0.04). In addition, MTV was the only significant predictive factors for PFS and OS in the multivariate analysis.

CONCLUSIONS: MTV was a more accurate predictor of PFS and OS in PMSTs compared to TLG or SUVmax and helped decision-making for guiding rational treatment options.

Original languageEnglish
Pages (from-to)8132676
JournalBioMed Research International
Volume2017
DOIs
Publication statusPublished - 2017

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Tumor Burden
Tumors
Spine
Glycolysis
Disease-Free Survival
Neoplasms
Survival
Multivariate Analysis
ROC Curve
Area Under Curve
Decision Making
Decision making

Cite this

@article{b37c52444a8f45479617c8dcdccd7dfd,
title = "Metabolic Tumor Volume by (18)F-FDG PET/CT Can Predict the Clinical Outcome of Primary Malignant Spine/Spinal Tumors",
abstract = "BACKGROUND AND PURPOSE: Primary malignant spine/spinal tumors (PMSTs) are rare and life-threatening diseases. In this study, we demonstrated the advantage of volume-based (18)F-FDG PET/CT metabolic parameter, metabolic tumor volume (MTV), for assessing the aggressiveness of PMSTs.MATERIALS AND METHODS: We retrospectively reviewed 27 patients with PMSTs and calculated SUVmax, MTV, and total lesion glycolysis (TLG) to compare their accuracy in predicting progression-free survival (PFS) and overall survival (OS) by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate analyses were used to compare the reliability of the metabolic parameters and various clinical factors.RESULTS: MTV exhibited greater accuracy than SUVmax or TLG. The cut-off values for PFS and OS derived from the AUC data were MTV 45 ml and 83 ml and TLG 250 SUV⁎ml and 257 SUV⁎ml, respectively. MTV above cut-off value, but not TLG, was identified as significant prognostic factor for PFS by log-lank test (p = 0.04). In addition, MTV was the only significant predictive factors for PFS and OS in the multivariate analysis.CONCLUSIONS: MTV was a more accurate predictor of PFS and OS in PMSTs compared to TLG or SUVmax and helped decision-making for guiding rational treatment options.",
author = "Yoshihiro Matsumoto and Shingo Baba and Makoto Endo and Nokitaka Setsu and Keiichiro Iida and Jun-Ichi Fukushi and Kenichi Kawaguchi and Seiji Okada and Hirofumi Bekki and Takuro Isoda and Yoshiyuki Kitamura and Hiroshi Honda and Yasuharu Nakashima",
year = "2017",
doi = "10.1155/2017/8132676",
language = "English",
volume = "2017",
pages = "8132676",
journal = "BioMed Research International",
issn = "2314-6133",
publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - Metabolic Tumor Volume by (18)F-FDG PET/CT Can Predict the Clinical Outcome of Primary Malignant Spine/Spinal Tumors

AU - Matsumoto, Yoshihiro

AU - Baba, Shingo

AU - Endo, Makoto

AU - Setsu, Nokitaka

AU - Iida, Keiichiro

AU - Fukushi, Jun-Ichi

AU - Kawaguchi, Kenichi

AU - Okada, Seiji

AU - Bekki, Hirofumi

AU - Isoda, Takuro

AU - Kitamura, Yoshiyuki

AU - Honda, Hiroshi

AU - Nakashima, Yasuharu

PY - 2017

Y1 - 2017

N2 - BACKGROUND AND PURPOSE: Primary malignant spine/spinal tumors (PMSTs) are rare and life-threatening diseases. In this study, we demonstrated the advantage of volume-based (18)F-FDG PET/CT metabolic parameter, metabolic tumor volume (MTV), for assessing the aggressiveness of PMSTs.MATERIALS AND METHODS: We retrospectively reviewed 27 patients with PMSTs and calculated SUVmax, MTV, and total lesion glycolysis (TLG) to compare their accuracy in predicting progression-free survival (PFS) and overall survival (OS) by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate analyses were used to compare the reliability of the metabolic parameters and various clinical factors.RESULTS: MTV exhibited greater accuracy than SUVmax or TLG. The cut-off values for PFS and OS derived from the AUC data were MTV 45 ml and 83 ml and TLG 250 SUV⁎ml and 257 SUV⁎ml, respectively. MTV above cut-off value, but not TLG, was identified as significant prognostic factor for PFS by log-lank test (p = 0.04). In addition, MTV was the only significant predictive factors for PFS and OS in the multivariate analysis.CONCLUSIONS: MTV was a more accurate predictor of PFS and OS in PMSTs compared to TLG or SUVmax and helped decision-making for guiding rational treatment options.

AB - BACKGROUND AND PURPOSE: Primary malignant spine/spinal tumors (PMSTs) are rare and life-threatening diseases. In this study, we demonstrated the advantage of volume-based (18)F-FDG PET/CT metabolic parameter, metabolic tumor volume (MTV), for assessing the aggressiveness of PMSTs.MATERIALS AND METHODS: We retrospectively reviewed 27 patients with PMSTs and calculated SUVmax, MTV, and total lesion glycolysis (TLG) to compare their accuracy in predicting progression-free survival (PFS) and overall survival (OS) by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate analyses were used to compare the reliability of the metabolic parameters and various clinical factors.RESULTS: MTV exhibited greater accuracy than SUVmax or TLG. The cut-off values for PFS and OS derived from the AUC data were MTV 45 ml and 83 ml and TLG 250 SUV⁎ml and 257 SUV⁎ml, respectively. MTV above cut-off value, but not TLG, was identified as significant prognostic factor for PFS by log-lank test (p = 0.04). In addition, MTV was the only significant predictive factors for PFS and OS in the multivariate analysis.CONCLUSIONS: MTV was a more accurate predictor of PFS and OS in PMSTs compared to TLG or SUVmax and helped decision-making for guiding rational treatment options.

U2 - 10.1155/2017/8132676

DO - 10.1155/2017/8132676

M3 - Article

C2 - 28852650

VL - 2017

SP - 8132676

JO - BioMed Research International

JF - BioMed Research International

SN - 2314-6133

ER -