Literature DB >> 24385688

Prognostic value of metabolic tumor burden in lung cancer.

Piotr Obara1, Yonglin Pu1.   

Abstract

Accurate prognosis in patients with lung cancer is important for clinical decision making and treatment selection. The TNM staging system is currently the main method for establishing prognosis. Using this system, patients are grouped into one of four stages based on primary tumor extent, nodal disease, and distant metastases. However, each stage represents a range of disease extent and may not on its own be the best reflection of individual patient prognosis. (18)F-fluorodeoxyglucose-positron emission tomography ((18)F-FDG-PET) can be used to evaluate the metabolic tumor burden affecting the whole body with measures such as metabolic tumor volume (MTV) and total lesion glycolysis (TLG). MTV and TLG have been shown to be significant prognostic factors in patients with lung cancer, independent of TNM stage. These metabolic tumor burden measures have the potential to make lung cancer staging and prognostication more accurate and quantitative, with the goal of optimizing treatment choices and outcome predictions.

Entities:  

Keywords:  18F-fluorodeoxyglucose-positron emission tomography (18F-FDG-PET); Lung cancer; metabolic tumor volume (MTV); prognostic factors; total lesion glycolysis (TLG)

Year:  2013        PMID: 24385688      PMCID: PMC3872558          DOI: 10.3978/j.issn.1000-9604.2013.11.10

Source DB:  PubMed          Journal:  Chin J Cancer Res        ISSN: 1000-9604            Impact factor:   5.087


  58 in total

1.  Independent prognostic value of whole-body metabolic tumor burden from FDG-PET in non-small cell lung cancer.

Authors:  Hao Zhang; Kristen Wroblewski; Daniel Appelbaum; Yonglin Pu
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-05-30       Impact factor: 2.924

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.  Prognostic value of SUVmax measurements obtained by FDG-PET in patients with non-small cell lung cancer receiving chemotherapy.

Authors:  Yohei Imamura; Koichi Azuma; Seiji Kurata; Satoshi Hattori; Tetsuro Sasada; Takashi Kinoshita; Masaki Okamoto; Tomotaka Kawayama; Hayato Kaida; Masatoshi Ishibashi; Hisamichi Aizawa
Journal:  Lung Cancer       Date:  2010-04-28       Impact factor: 5.705

5.  The utility of (18)F-FDG PET for suspected recurrent non-small cell lung cancer after potentially curative therapy: impact on management and prognostic stratification.

Authors:  R J Hicks; V Kalff; M P MacManus; R E Ware; A F McKenzie; J P Matthews; D L Ball
Journal:  J Nucl Med       Date:  2001-11       Impact factor: 10.057

6.  Tumor Treatment Response Based on Visual and Quantitative Changes in Global Tumor Glycolysis Using PET-FDG Imaging. The Visual Response Score and the Change in Total Lesion Glycolysis.

Authors:  Steven M. Larson; Yusuf Erdi; Timothy Akhurst; Madhu Mazumdar; Homer A. Macapinlac; Ronald D. Finn; Cecille Casilla; Melissa Fazzari; Neil Srivastava; Henry W.D. Yeung; John L. Humm; Jose Guillem; Robert Downey; Martin Karpeh; Alfred E. Cohen; Robert Ginsberg
Journal:  Clin Positron Imaging       Date:  1999-05

Review 7.  Performance of whole-body PET/CT for the detection of distant malignancies in various cancers: a systematic review and meta-analysis.

Authors:  Guozeng Xu; Lin Zhao; Zhiyi He
Journal:  J Nucl Med       Date:  2012-10-16       Impact factor: 10.057

8.  Preoperative F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value predicts survival after lung cancer resection.

Authors:  Robert J Downey; Timothy Akhurst; Mithat Gonen; Alain Vincent; Manjit S Bains; Steven Larson; Valerie Rusch
Journal:  J Clin Oncol       Date:  2004-08-15       Impact factor: 44.544

9.  Non-small cell lung cancer: whole-body MR examination for M-stage assessment--utility for whole-body diffusion-weighted imaging compared with integrated FDG PET/CT.

Authors:  Yoshiharu Ohno; Hisanobu Koyama; Yumiko Onishi; Daisuke Takenaka; Munenobu Nogami; Takeshi Yoshikawa; Sumiaki Matsumoto; Yoshikazu Kotani; Kazuro Sugimura
Journal:  Radiology       Date:  2008-06-06       Impact factor: 11.105

10.  PET scan 18F-fluorodeoxyglucose uptake and prognosis in patients with resected clinical stage IA non-small cell lung cancer.

Authors:  Viswam S Nair; Paul G Barnett; Lakshmi Ananth; Michael K Gould
Journal:  Chest       Date:  2009-12-28       Impact factor: 9.410

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  16 in total

1.  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

2.  Quantitative Analysis of Heterogeneous [18F]FDG Static (SUV) vs. Patlak (Ki) Whole-body PET Imaging Using Different Segmentation Methods: a Simulation Study.

Authors:  Mingzan Zhuang; Nicolas A Karakatsanis; Rudi A J O Dierckx; Habib Zaidi
Journal:  Mol Imaging Biol       Date:  2019-04       Impact factor: 3.488

Review 3.  Positron Emission Tomography (PET) in Oncology.

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

4.  Efficacy of third-line pemetrexed monotherapy versus pemetrexed combination with bevacizumab in patients with advanced EGFR mutation-positive lung adenocarcinoma.

Authors:  Cheng-Zhi Zhou; Yin-Yin Qin; Zhan-Hong Xie; Jie-Xia Zhang; Ming Ou-Yang; Shi-Yue Li; Rong-Chang Chen
Journal:  Chin J Cancer Res       Date:  2014-12       Impact factor: 5.087

5.  Metabolic tumor burden quantified on [18F]FDG PET/CT improves TNM staging of lung cancer patients.

Authors:  Paula Lapa; Bárbara Oliveiros; Margarida Marques; Jorge Isidoro; Filipe Caseiro Alves; J M Nascimento Costa; Gracinda Costa; João Pedroso de Lima
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-08-07       Impact factor: 9.236

6.  Metabolic tumor volume predicts overall survival and local control in patients with stage III non-small cell lung cancer treated in ACRIN 6668/RTOG 0235.

Authors:  Jose G Bazan; Fenghai Duan; Bradley S Snyder; Dunstan Horng; Edward E Graves; Barry A Siegel; Mitchell Machtay; Billy W Loo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-09-19       Impact factor: 9.236

7.  Prognosis of different extrathoracic metastasis patterns in patients with M1c lung adenocarcinoma receiving immunotherapy.

Authors:  Fang Hu; Jin Peng; Xiaowei Mao; Yanjie Niu; Meili Ma; Yizhuo Zhao; Aiqin Gu; Liyan Jiang
Journal:  J Cancer Res Clin Oncol       Date:  2022-07-27       Impact factor: 4.322

8.  Diagnostic and Prognostic Role of 18-FDG PET/CT in the Management of Resectable Biliary Tract Cancer.

Authors:  Ka Wing Ma; Tan To Cheung; Wong Hoi She; Kenneth Siu Ho Chok; Albert Chi Yan Chan; Wing Chiu Dai; Wan Hang Chiu; Chung Mau Lo
Journal:  World J Surg       Date:  2018-03       Impact factor: 3.352

9.  Microscopic Invasions, Prognoses, and Recurrence Patterns of Stage I Adenocarcinomas Manifesting as Part-Solid Ground-Glass Nodules: Comparison With Adenocarcinomas Appearing as Solid Nodules After Matching Their Solid Parts' Size.

Authors:  Eui Jin Hwang; Chang Min Park; Young Tae Kim; Hyungjin Kim; Jin Mo Goo
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

10.  Differences between TNM classification and 2-[18F]FDG PET parameters of primary tumor in NSCLC patients.

Authors:  Paulina Cegla; Maciej Bryl; Kamila Witkowska; Agnieszka Bos-Liedke; Katarzyna Pietrasz; Witold Kycler; Julian Malicki; Tomasz Piotrowski; Rafał Czepczyński
Journal:  Rep Pract Oncol Radiother       Date:  2021-06-09
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