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Metabolic Tumor Volume by 18F-FDG PETCT Can Predict the Clinical Outcome of Primary Malignant SpineSpinal Tumors
المؤلفون المشاركون
Honda, Hiroshi
Nakashima, Yasuharu
Matsumoto, Yoshihiro
Fukushi, Jun-ichi
Kawaguchi, Ken-ichi
Setsu, Nokitaka
IIda, Keiichiro
Baba, Shingo
Endo, Makoto
Okada, Seiji
Bekki, Hirofumi
Isoda, Takuro
Kitamura, Yoshiyuki
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-09
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Matsumoto, Yoshihiro& Baba, Shingo& Endo, Makoto& Setsu, Nokitaka& IIda, Keiichiro& Fukushi, Jun-ichi…[et al.]. 2017. Metabolic Tumor Volume by 18F-FDG PETCT Can Predict the Clinical Outcome of Primary Malignant SpineSpinal Tumors. BioMed Research International،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1138921
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Matsumoto, Yoshihiro…[et al.]. Metabolic Tumor Volume by 18F-FDG PETCT Can Predict the Clinical Outcome of Primary Malignant SpineSpinal Tumors. BioMed Research International No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1138921
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Matsumoto, Yoshihiro& Baba, Shingo& Endo, Makoto& Setsu, Nokitaka& IIda, Keiichiro& Fukushi, Jun-ichi…[et al.]. Metabolic Tumor Volume by 18F-FDG PETCT Can Predict the Clinical Outcome of Primary Malignant SpineSpinal Tumors. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1138921
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138921
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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