Literature DB >> 22124757

Prognostic value of preoperative metabolic tumor volume and total lesion glycolysis in patients with epithelial ovarian cancer.

Hyun Hoon Chung1, Hyun Woo Kwon, Keon Wook Kang, Noh-Hyun Park, Yong-Sang Song, June-Key Chung, Soon-Beom Kang, Jae Weon Kim.   

Abstract

PURPOSE: Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) are measures of metabolic activity of tumors determined by fluorine-18 fluorodeoxyglucose ([(18)F]FDG) uptake on PET/CT images. The purpose of this study was to investigate the relationship between functional tumor parameters (MTV and TLG) and clinical outcomes in patients with epithelial ovarian cancer (EOC).
METHODS: Fifty-five patients with EOC who had undergone [(18)F]FDG PET/CT before surgical staging were included in this retrospectively study. For each patient, we determined the highest (SUV(max) and SUV(avg)), the cumulative TLG, and the sum of all MTV, and compared their predictive value of recurrence and the effects of pretreatment functional tumor activity on progression-free interval (PFI).
RESULTS: The median duration of PFI was 11 (range 3-43) months, and 20 patients (36.4%) experienced recurrence. Poor outcome was associated with higher values for both the MTV (P = 0.022, hazard ratio 5.571, 95% confidence interval 1.279-24.272) and the TLG (P = 0.037, hazard ratio 2.967, 95% confidence interval 1.065-8.265). The Kaplan-Meier survival graphs showed a significant difference in PFI between the groups categorized by MTV and TLG, respectively (P = 0.01 for MTV, P = 0.0287 for TLG, log rank test).
CONCLUSIONS: Pretreatment metabolic parameters such as MTV and TLG showed statistically significant association with recurrence in patients with EOC. These values can be useful quantitative criteria for disease prognostication in patients with EOC before treatment.

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Year:  2011        PMID: 22124757     DOI: 10.1245/s10434-011-2153-x

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  48 in total

1.  The role of metabolic tumor volume and total lesion glycolysis on ¹⁸F-FDG PET/CT in the prognosis of epithelial ovarian cancer.

Authors:  Jeong Won Lee; Arthur Cho; Jae-Hoon Lee; Mijin Yun; Jong Doo Lee; Young Tae Kim; Won Jun Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-05-23       Impact factor: 9.236

Review 2.  Positron Emission Tomography (PET) in Oncology.

Authors:  Andrea Gallamini; Colette Zwarthoed; Anna Borra
Journal:  Cancers (Basel)       Date:  2014-09-29       Impact factor: 6.639

Review 3.  An update on the role of PET/CT and PET/MRI in ovarian cancer.

Authors:  Benjapa Khiewvan; Drew A Torigian; Sahra Emamzadehfard; Koosha Paydary; Ali Salavati; Sina Houshmand; Thomas J Werner; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-02-08       Impact factor: 9.236

4.  Prognostic value of whole-body metabolic tumour volume and total lesion glycolysis measured on ¹⁸F-FDG PET/CT in patients with extranodal NK/T-cell lymphoma.

Authors:  Choon-Young Kim; Chae Moon Hong; Do-Hoon Kim; Seung Hyun Son; Shin Young Jeong; Sang-Woo Lee; Jaetae Lee; Byeong-Cheol Ahn
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-05-15       Impact factor: 9.236

5.  Total lesion glycolysis by 18F-FDG PET/CT is a reliable predictor of prognosis in soft-tissue sarcoma.

Authors:  Eun-Seok Choi; Seung-Gyun Ha; Han-Soo Kim; Jae Hong Ha; Jin Chul Paeng; Ilkyu Han
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-07-24       Impact factor: 9.236

6.  Predictive value of (18)F-FDG PET/CT in restaging patients affected by ovarian carcinoma: a multicentre study.

Authors:  Federico Caobelli; Pierpaolo Alongi; Laura Evangelista; Maria Picchio; Giorgio Saladini; Marco Rensi; Onelio Geatti; Angelo Castello; Iashar Laghai; Cristina E Popescu; Carlotta Dolci; Cinzia Crivellaro; Silvia Seghezzi; Margarita Kirienko; Vincenzo De Biasi; Fabrizio Cocciolillo; Natale Quartuccio
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-09-18       Impact factor: 9.236

7.  Volume-based quantitative FDG PET/CT metrics and their association with optimal debulking and progression-free survival in patients with recurrent ovarian cancer undergoing secondary cytoreductive surgery.

Authors:  H A Vargas; I A Burger; D A Goldman; M Miccò; R E Sosa; W Weber; D S Chi; H Hricak; E Sala
Journal:  Eur Radiol       Date:  2015-04-28       Impact factor: 5.315

8.  Refining prognosis in patients with hepatocellular carcinoma through incorporation of metabolic imaging biomarkers.

Authors:  Satoshi Takeuchi; Eric M Rohren; Reham Abdel-Wahab; Lianchun Xiao; Jeffrey S Morris; Homer A Macapinlac; Manal M Hassan; Ahmed O Kaseb
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-12-12       Impact factor: 9.236

9.  Predictive and prognostic value of metabolic tumour volume and total lesion glycolysis in solid tumours.

Authors:  Christophe Van de Wiele; Vibeke Kruse; Peter Smeets; Mike Sathekge; Alex Maes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-14       Impact factor: 9.236

10.  Prognostic value of volumetric parameters measured by 18F-FDG PET/CT in patients with head and neck squamous cell carcinoma.

Authors:  Ronan Abgral; Nathalie Keromnes; Philippe Robin; Pierre-Yves Le Roux; David Bourhis; Xavier Palard; Jean Rousset; Gérald Valette; Rémi Marianowski; Pierre-Yves Salaün
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-11-07       Impact factor: 9.236

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