Literature DB >> 25897473

Non-Small Cell Lung Cancer Treated with Erlotinib: Heterogeneity of (18)F-FDG Uptake at PET-Association with Treatment Response and Prognosis.

Gary J R Cook1, Mary E O'Brien1, Muhammad Siddique1, Sugama Chicklore1, Hoi Y Loi1, Bhupinder Sharma1, Ravi Punwani1, Paul Bassett1, Vicky Goh1, Sue Chua1.   

Abstract

PURPOSE: To determine if first-order and high-order textural features on fluorine 18 ((18)F) fluorodeoxyglucose (FDG) positron emission tomography (PET) images of non-small cell lung cancer (NSCLC) (a) at baseline, (b) at 6 weeks, or (c) the percentage change between baseline and 6 weeks can predict response or survival in patients treated with erlotinib.
MATERIALS AND METHODS: Institutional review board approval was obtained for post hoc analysis of data from a prospective single-center study for which informed consent was obtained. The study included 47 patients with NSCLC who underwent (18)F-FDG PET/computed tomography (CT) at baseline (n = 47) and 6 weeks (n = 40) after commencing treatment with erlotinib. First-order and high-order primary tumor texture features reflecting image heterogeneity, standardized uptake values, metabolic tumor volume, and total lesion glycolysis were measured for all (18)F-FDG PET studies. Response to erlotinib was assessed by using the Response Evaluation Criteria in Solid Tumors (RECIST) on CT images obtained at 12 weeks (n = 32). Associations between PET parameters, overall survival (OS), and RECIST-based treatment response were tested by Cox and logistic regression analyses, respectively.
RESULTS: Median OS was 14.1 months. According to CT RECIST at 12 weeks, there were 21 nonresponders and 11 responders. Response to erlotinib was associated with reduced heterogeneity (first-order standard deviation, P = .01; entropy, P = .001; uniformity, P = .001). At multivariable analysis, high-order contrast at 6 weeks (P = .002) and percentage change in first-order entropy (P = .03) were independently associated with survival. Percentage change in first-order entropy was also independently associated with treatment response (P = .01).
CONCLUSION: Response to erlotinib is associated with reduced heterogeneity at (18)F-FDG PET. Changes in first-order entropy are independently associated with OS and treatment response.

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Year:  2015        PMID: 25897473     DOI: 10.1148/radiol.2015141309

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  69 in total

1.  Developments in oncological positron emission tomography/computed tomography assessment.

Authors:  Carsten Kobe; Ronald Boellaard; Jürgen Wolf; Georg Kuhnert; Markus Dietlein; Bernd Neumaier; Alexander Drzezga; Deniz Kahraman
Journal:  J Thorac Dis       Date:  2015-12       Impact factor: 2.895

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.  Heterogeneity index evaluated by slope of linear regression on 18F-FDG PET/CT as a prognostic marker for predicting tumor recurrence in pancreatic ductal adenocarcinoma.

Authors:  Yong-Il Kim; Yong Joong Kim; Jin Chul Paeng; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Keon Wook Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-20       Impact factor: 9.236

4.  Perspectives in Radiomics for Personalized Medicine and Theranostics.

Authors:  Seunggyun Ha
Journal:  Nucl Med Mol Imaging       Date:  2019-01-23

5.  Value of Intratumoral Metabolic Heterogeneity and Quantitative 18F-FDG PET/CT Parameters to Predict Prognosis in Patients With HPV-Positive Primary Oropharyngeal Squamous Cell Carcinoma.

Authors:  Esther Mena; Mehdi Taghipour; Sara Sheikhbahaei; Abhinav K Jha; Arman Rahmim; Lilja Solnes; Rathan M Subramaniam
Journal:  Clin Nucl Med       Date:  2017-05       Impact factor: 7.794

6.  PET/CT-Based Response Evaluation in Cancer-a Systematic Review of Design Issues.

Authors:  Oke Gerke; Karen Ehlers; Edith Motschall; Poul Flemming Høilund-Carlsen; Werner Vach
Journal:  Mol Imaging Biol       Date:  2020-02       Impact factor: 3.488

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.  Treatment-related changes in neuroendocrine tumors as assessed by textural features derived from 68Ga-DOTATOC PET/MRI with simultaneous acquisition of apparent diffusion coefficient.

Authors:  Manuel Weber; Lukas Kessler; Benedikt Schaarschmidt; Wolfgang Peter Fendler; Harald Lahner; Gerald Antoch; Lale Umutlu; Ken Herrmann; Christoph Rischpler
Journal:  BMC Cancer       Date:  2020-04-16       Impact factor: 4.430

Review 9.  Clinical applications of textural analysis in non-small cell lung cancer.

Authors:  Iain Phillips; Mazhar Ajaz; Veni Ezhil; Vineet Prakash; Sheaka Alobaidli; Sarah J McQuaid; Christopher South; James Scuffham; Andrew Nisbet; Philip Evans
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

10.  Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer.

Authors:  Seung Hwan Moon; Jinho Kim; Je-Gun Joung; Hongui Cha; Woong-Yang Park; Jin Seok Ahn; Myung-Ju Ahn; Keunchil Park; Joon Young Choi; Kyung-Han Lee; Byung-Tae Kim; Se-Hoon Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-08-25       Impact factor: 9.236

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