Literature DB >> 23151913

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

Christophe Van de Wiele1, Vibeke Kruse, Peter Smeets, Mike Sathekge, Alex Maes.   

Abstract

Data available in patients suffering from squamous cell carcinoma of the head and neck, lung carcinoma, oesophageal carcinoma and gynaecological malignancies suggest that metabolic tumour volume and to a lesser extent total lesion glycolysis have the potential to become valuable in the imaging of human solid tumours as prognostic biomarkers for short- to intermediate-term survival outcomes, adding value to clinical staging, for assessment of response to treatment with neoadjuvant and concurrent chemotherapy, and for treatment optimization; for example, based on early treatment response assessment using changes in metabolic tumour volume over time, it might be possible to select patients who require a more aggressive treatment to improve their outcome. Prospective studies enrolling consecutive patients, adopting standardized protocols for FDG PET acquisition and processing, adjusting for potential confounders in the analysis (tumour size and origin) and determining the optimal methodology for determination of these novel markers are mandatory.

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Year:  2012        PMID: 23151913     DOI: 10.1007/s00259-012-2280-z

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  80 in total

1.  Postradiation metabolic tumor volume predicts outcome in head-and-neck cancer.

Authors:  James D Murphy; Trang H La; Karen Chu; Andrew Quon; Nancy J Fischbein; Peter G Maxim; Edward E Graves; Billy W Loo; Quynh-Thu Le
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-06-18       Impact factor: 7.038

2.  Whole-body metabolic tumour volume of 18F-FDG PET/CT improves the prediction of prognosis in small cell lung cancer.

Authors:  Jong-Ryool Oh; Ji-Hyoung Seo; Ari Chong; Jung-Joon Min; Ho-Chun Song; Young-Chul Kim; Hee-Seung Bom
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-01-21       Impact factor: 9.236

3.  Prognostic value of metabolic tumor burden on 18F-FDG PET in nonsurgical patients with non-small cell lung cancer.

Authors:  Shengri Liao; Bill C Penney; Kristen Wroblewski; Hao Zhang; Cassie A Simon; Rony Kampalath; Ming-Chi Shih; Naoko Shimada; Sheng Chen; Ravi Salgia; Daniel E Appelbaum; Kenji Suzuki; Chin-Tu Chen; Yonglin Pu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-09-23       Impact factor: 9.236

4.  Correlation between metabolic tumor volume and pathologic tumor volume in squamous cell carcinoma of the oral cavity.

Authors:  James D Murphy; Karen M Chisholm; Megan E Daly; Ellen A Wiegner; Daniel Truong; Andrei Iagaru; Peter G Maxim; Billy W Loo; Edward E Graves; Michael J Kaplan; Christina Kong; Quynh-Thu Le
Journal:  Radiother Oncol       Date:  2011-06-12       Impact factor: 6.280

Review 5.  Predictive and prognostic value of FDG-PET in nonsmall-cell lung cancer: a systematic review.

Authors:  Lioe-Fee de Geus-Oei; Henricus F M van der Heijden; Frans H M Corstens; Wim J G Oyen
Journal:  Cancer       Date:  2007-10-15       Impact factor: 6.860

6.  18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate?

Authors:  Kenneth J Biehl; Feng-Ming Kong; Farrokh Dehdashti; Jian-Yue Jin; Sasa Mutic; Issam El Naqa; Barry A Siegel; Jeffrey D Bradley
Journal:  J Nucl Med       Date:  2006-11       Impact factor: 10.057

7.  Metabolic tumor volume predicts for recurrence and death in head-and-neck cancer.

Authors:  Trang H La; Edith J Filion; Brit B Turnbull; Jackie N Chu; Percy Lee; Khoa Nguyen; Peter Maxim; Andy Quon; Edward E Graves; Billy W Loo; Quynh-Thu Le
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-03-14       Impact factor: 7.038

8.  Adenocarcinomas of the esophagus: response to chemoradiotherapy is associated with decrease of metabolic tumor volume as measured on PET-CT. Comparison to histopathologic and clinical response evaluation.

Authors:  Johannes B Roedl; Rivka R Colen; Nagaraj S Holalkere; Alan J Fischman; Noah C Choi; Michael A Blake
Journal:  Radiother Oncol       Date:  2008-08-11       Impact factor: 6.280

9.  Pelvic irradiation with concurrent chemotherapy versus pelvic and para-aortic irradiation for high-risk cervical cancer: an update of radiation therapy oncology group trial (RTOG) 90-01.

Authors:  Patricia J Eifel; Kathryn Winter; Mitchell Morris; Charles Levenback; Perry W Grigsby; Jay Cooper; Marvin Rotman; David Gershenson; David G Mutch
Journal:  J Clin Oncol       Date:  2004-03-01       Impact factor: 44.544

10.  Tumor volume predicts outcome for advanced head and neck cancer treated with targeted chemoradiotherapy.

Authors:  Ilana Doweck; Douglas Denys; K Thomas Robbins
Journal:  Laryngoscope       Date:  2002-10       Impact factor: 3.325

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  64 in total

1.  Predictive markers, including total lesion glycolysis, for the response of lymph node(s) metastasis from head and neck squamous cell carcinoma treated by chemoradiotherapy.

Authors:  Goshi Nishimura; Masanori Komatsu; Masaharu Hata; Kenichiro Yabuki; Takahide Taguchi; Masahiro Takahashi; Osamu Shiono; Daisuke Sano; Yasuhiro Arai; Hideaki Takahashi; Yoshihiro Chiba; Nobuhiko Oridate
Journal:  Int J Clin Oncol       Date:  2015-08-14       Impact factor: 3.402

2.  A Pilot Study of Texture Analysis of Primary Tumor [18F]FDG Uptake to Predict Recurrence in Surgically Treated Patients with Non-small Cell Lung Cancer.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Tetsuya Shinaji; Masaya Aoki; Atsushi Tani; Yoshiaki Nakabeppu; Masayuki Nakajo; Masami Sato; Takashi Yoshiura
Journal:  Mol Imaging Biol       Date:  2019-08       Impact factor: 3.488

3.  Baseline PET features to predict prognosis in primary mediastinal B cell lymphoma: a comparative analysis of different methods for measuring baseline metabolic tumour volume.

Authors:  Luca Ceriani; Lisa Milan; Peter W M Johnson; Maurizio Martelli; Stefano Presilla; Luca Giovanella; Emanuele Zucca
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-02-26       Impact factor: 9.236

4.  A new PET/CT volumetric prognostic index for non-small cell lung cancer.

Authors:  Hao Zhang; Kristen Wroblewski; Yulei Jiang; Bill C Penney; Daniel Appelbaum; Cassie A Simon; Ravi Salgia; Yonglin Pu
Journal:  Lung Cancer       Date:  2015-04-09       Impact factor: 5.705

5.  Change in volume parameters induced by neoadjuvant chemotherapy provide accurate prediction of overall survival after resection in patients with oesophageal cancer.

Authors:  Dietmar Tamandl; Richard M Gore; Barbara Fueger; Patrick Kinsperger; Michael Hejna; Matthias Paireder; Alexander Haug; Sebastian F Schoppmann; Ahmed Ba-Ssalamah
Journal:  Eur Radiol       Date:  2015-06-05       Impact factor: 5.315

Review 6.  Positron Emission Tomography (PET) in Oncology.

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

7.  A pilot study for texture analysis of 18F-FDG and 18F-FLT-PET/CT to predict tumor recurrence of patients with colorectal cancer who received surgery.

Authors:  Masatoyo Nakajo; Yoriko Kajiya; Atsushi Tani; Megumi Jinguji; Masayuki Nakajo; Masaki Kitazono; Takashi Yoshiura
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-08-03       Impact factor: 9.236

8.  Metabolic tumour burden assessed by ¹⁸F-FDG PET/CT associated with serum CA19-9 predicts pancreatic cancer outcome after resection.

Authors:  Hua-Xiang Xu; Tao Chen; Wen-Quan Wang; Chun-Tao Wu; Chen Liu; Jiang Long; Jin Xu; Ying-Jian Zhang; Run-Hao Chen; Liang Liu; Xian-Jun Yu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-13       Impact factor: 9.236

9.  Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer.

Authors:  Sara Carvalho; Ralph T H Leijenaar; Emmanuel Rios Velazquez; Cary Oberije; Chintan Parmar; Wouter van Elmpt; Bart Reymen; Esther G C Troost; Michel Oellers; Andre Dekker; Robert Gillies; Hugo J W L Aerts; Philippe Lambin
Journal:  Acta Oncol       Date:  2013-09-09       Impact factor: 4.089

10.  Metabolic tumour volumes measured at staging in lymphoma: methodological evaluation on phantom experiments and patients.

Authors:  Michel Meignan; Myriam Sasanelli; René Olivier Casasnovas; Stefano Luminari; Federica Fioroni; Chiara Coriani; Helene Masset; Emmanuel Itti; Paolo G Gobbi; Francesco Merli; Annibale Versari
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-26       Impact factor: 9.236

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