Metabolic Tumor Volume by 18F-FDG PET/CT Can Predict the Clinical Outcome of Primary Malignant Spine/Spinal Tumors
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 18F-FDG PET/CT metabolic parameter, metabolic tumor volume (MTV), for assessing the aggressiveness of PMSTs. Materials and Method...
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| creator | Isoda, Takuro Kitamura, Yoshiyuki Honda, Hiroshi Nakashima, Yasuharu Okada, Seiji Kawaguchi, Ken-ichi Fukushi, Jun-ichi IIda, Keiichiro Setsu, Nokitaka Endo, Makoto Baba, Shingo Matsumoto, Yoshihiro Bekki, Hirofumi |
| description | 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 18F-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. |
| doi_str_mv | 10.1155/2017/8132676 |
| format | Article |
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Primary malignant spine/spinal tumors (PMSTs) are rare and life-threatening diseases. In this study, we demonstrated the advantage of volume-based 18F-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.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2017/8132676</identifier><identifier>PMID: 28852650</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Bone cancer ; Cancer therapies ; Chemotherapy ; Clinical outcomes ; Decision making ; Glycolysis ; Head & neck cancer ; Mathematical analysis ; Medical imaging ; Medical prognosis ; Metabolism ; Multivariate analysis ; Nuclear medicine ; Oncology ; Ovarian cancer ; Patients ; Positron emission tomography ; Radiation therapy ; Reliability analysis ; Reliability aspects ; Spinal cancer ; Spine ; Surgery ; Survival ; Tomography ; Tumors ; Vertebrae ; Volumetric analysis</subject><ispartof>BioMed research international, 2017-01, Vol.2017 (2017), p.1-8</ispartof><rights>Copyright © 2017 Yoshihiro Matsumoto et al.</rights><rights>Copyright © 2017 Yoshihiro Matsumoto et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2017 Yoshihiro Matsumoto et al. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-0039-2855</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568596/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568596/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids></links><search><contributor>Kim, Kwang Gi</contributor><creatorcontrib>Isoda, Takuro</creatorcontrib><creatorcontrib>Kitamura, Yoshiyuki</creatorcontrib><creatorcontrib>Honda, Hiroshi</creatorcontrib><creatorcontrib>Nakashima, Yasuharu</creatorcontrib><creatorcontrib>Okada, Seiji</creatorcontrib><creatorcontrib>Kawaguchi, Ken-ichi</creatorcontrib><creatorcontrib>Fukushi, Jun-ichi</creatorcontrib><creatorcontrib>IIda, Keiichiro</creatorcontrib><creatorcontrib>Setsu, Nokitaka</creatorcontrib><creatorcontrib>Endo, Makoto</creatorcontrib><creatorcontrib>Baba, Shingo</creatorcontrib><creatorcontrib>Matsumoto, Yoshihiro</creatorcontrib><creatorcontrib>Bekki, Hirofumi</creatorcontrib><title>Metabolic Tumor Volume by 18F-FDG PET/CT Can Predict the Clinical Outcome of Primary Malignant Spine/Spinal Tumors</title><title>BioMed research international</title><description>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 18F-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.</description><subject>Bone cancer</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Clinical outcomes</subject><subject>Decision making</subject><subject>Glycolysis</subject><subject>Head & neck cancer</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Metabolism</subject><subject>Multivariate analysis</subject><subject>Nuclear medicine</subject><subject>Oncology</subject><subject>Ovarian cancer</subject><subject>Patients</subject><subject>Positron emission tomography</subject><subject>Radiation therapy</subject><subject>Reliability analysis</subject><subject>Reliability aspects</subject><subject>Spinal 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Tumor Volume by 18F-FDG PET/CT Can Predict the Clinical Outcome of Primary Malignant Spine/Spinal Tumors</title><author>Isoda, Takuro ; Kitamura, Yoshiyuki ; Honda, Hiroshi ; Nakashima, Yasuharu ; Okada, Seiji ; Kawaguchi, Ken-ichi ; Fukushi, Jun-ichi ; IIda, Keiichiro ; Setsu, Nokitaka ; Endo, Makoto ; Baba, Shingo ; Matsumoto, Yoshihiro ; Bekki, Hirofumi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-e364t-3b5084faa98229e5a1d0f246aabeec28ef7a8fe71f9ac4143958cb5f12ba1f1f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bone cancer</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>Clinical outcomes</topic><topic>Decision making</topic><topic>Glycolysis</topic><topic>Head & neck cancer</topic><topic>Mathematical analysis</topic><topic>Medical imaging</topic><topic>Medical prognosis</topic><topic>Metabolism</topic><topic>Multivariate analysis</topic><topic>Nuclear medicine</topic><topic>Oncology</topic><topic>Ovarian cancer</topic><topic>Patients</topic><topic>Positron emission tomography</topic><topic>Radiation therapy</topic><topic>Reliability analysis</topic><topic>Reliability aspects</topic><topic>Spinal cancer</topic><topic>Spine</topic><topic>Surgery</topic><topic>Survival</topic><topic>Tomography</topic><topic>Tumors</topic><topic>Vertebrae</topic><topic>Volumetric analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Isoda, Takuro</creatorcontrib><creatorcontrib>Kitamura, Yoshiyuki</creatorcontrib><creatorcontrib>Honda, Hiroshi</creatorcontrib><creatorcontrib>Nakashima, Yasuharu</creatorcontrib><creatorcontrib>Okada, Seiji</creatorcontrib><creatorcontrib>Kawaguchi, Ken-ichi</creatorcontrib><creatorcontrib>Fukushi, Jun-ichi</creatorcontrib><creatorcontrib>IIda, Keiichiro</creatorcontrib><creatorcontrib>Setsu, Nokitaka</creatorcontrib><creatorcontrib>Endo, 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Makoto</au><au>Baba, Shingo</au><au>Matsumoto, Yoshihiro</au><au>Bekki, Hirofumi</au><au>Kim, Kwang Gi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolic Tumor Volume by 18F-FDG PET/CT Can Predict the Clinical Outcome of Primary Malignant Spine/Spinal Tumors</atitle><jtitle>BioMed research international</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>2017</volume><issue>2017</issue><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><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 18F-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.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>28852650</pmid><doi>10.1155/2017/8132676</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-0039-2855</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Bone cancer Cancer therapies Chemotherapy Clinical outcomes Decision making Glycolysis Head & neck cancer Mathematical analysis Medical imaging Medical prognosis Metabolism Multivariate analysis Nuclear medicine Oncology Ovarian cancer Patients Positron emission tomography Radiation therapy Reliability analysis Reliability aspects Spinal cancer Spine Surgery Survival Tomography Tumors Vertebrae Volumetric analysis |
| title | Metabolic Tumor Volume by 18F-FDG PET/CT Can Predict the Clinical Outcome of Primary Malignant Spine/Spinal Tumors |
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