Literature DB >> 23151911

Comparison of PET metabolic indices for the early assessment of tumour response in metastatic colorectal cancer patients treated by polychemotherapy.

Jacques-Antoine Maisonobe1, Camilo A Garcia, Hatem Necib, Bruno Vanderlinden, Alain Hendlisz, Patrick Flamen, Irène Buvat.   

Abstract

PURPOSE: To compare the performance of eight metabolic indices for the early assessment of tumour response in patients with metastatic colorectal cancer (mCRC) treated with chemotherapy.
METHODS: Forty patients with advanced mCRC underwent two FDG PET/CT scans, at baseline and on day 14 after chemotherapy initiation. For each lesion, eight metabolic indices were calculated: four standardized uptake values (SUV) without correction for the partial volume effect (PVE), two SUV with correction for PVE, a metabolic volume (MV) and a total lesion glycolysis (TLG). The relative change in each index between the two scans was calculated for each lesion. Lesions were also classified as responding and nonresponding lesions using the Response Evaluation Criteria In Solid Tumours (RECIST) 1.0 measured by contrast-enhanced CT at baseline and 6-8 weeks after starting therapy. Bland-Altman analyses were performed to compare the various indices. Based on the RECIST classification, ROC analyses were used to determine how accurately the indices predicted lesion response to therapy later seen with RECIST.
RESULTS: RECIST showed 27 responding and 74 nonresponding lesions. Bland-Altman analyses showed that the four SUV indices uncorrected for PVE could not be used interchangeably, nor could the two SUV corrected for PVE. The areas under the ROC curves (AUC) were not significantly different between the SUV indices not corrected for PVE. The mean SUV change in a lesion better predicted lesion response without than with PVE correction. The AUC was significantly higher for SUV uncorrected for PVE than for the MV, but change in MV provided some information regarding the lesion response to therapy (AUC >0.5).
CONCLUSION: In these mCRC patients, all SUV uncorrected for PVE accurately predicted the tumour response on day 14 after starting therapy as assessed 4 to 6 weeks later (i.e. 6 to 8 weeks after therapy initiation) using the RECIST criteria. Neither correcting SUV for PVE nor measuring TLG improved the assessment of tumour response compared to SUV uncorrected for PVE. The change in MV was the least accurate index for predicting tumour response.

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Year:  2012        PMID: 23151911      PMCID: PMC3537000          DOI: 10.1007/s00259-012-2274-x

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


  33 in total

1.  Reproducibility of 18F-FDG and 3'-deoxy-3'-18F-fluorothymidine PET tumor volume measurements.

Authors:  Mathieu Hatt; Catherine Cheze-Le Rest; Eric O Aboagye; Laura M Kenny; Lula Rosso; Federico E Turkheimer; Nidal M Albarghach; Jean-Philippe Metges; Olivier Pradier; Dimitris Visvikis
Journal:  J Nucl Med       Date:  2010-08-18       Impact factor: 10.057

Review 2.  Monitoring cancer treatment with PET/CT: does it make a difference?

Authors:  Wolfgang A Weber; Robert Figlin
Journal:  J Nucl Med       Date:  2007-01       Impact factor: 10.057

3.  Use of scanner characteristics in iterative image reconstruction for high-resolution positron emission tomography studies of small animals.

Authors:  G Brix; J Doll; M E Bellemann; H Trojan; U Haberkorn; P Schmidlin; H Ostertag
Journal:  Eur J Nucl Med       Date:  1997-07

4.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

5.  Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group.

Authors:  H Young; R Baum; U Cremerius; K Herholz; O Hoekstra; A A Lammertsma; J Pruim; P Price
Journal:  Eur J Cancer       Date:  1999-12       Impact factor: 9.162

6.  The importance of appropriate partial volume correction for PET quantification in Alzheimer's disease.

Authors:  Benjamin A Thomas; Kjell Erlandsson; Marc Modat; Lennart Thurfjell; Rik Vandenberghe; Sebastien Ourselin; Brian F Hutton
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-02-19       Impact factor: 9.236

7.  Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer.

Authors:  Florent Tixier; Catherine Cheze Le Rest; Mathieu Hatt; Nidal Albarghach; Olivier Pradier; Jean-Philippe Metges; Laurent Corcos; Dimitris Visvikis
Journal:  J Nucl Med       Date:  2011-02-14       Impact factor: 10.057

8.  Partial-volume correction in PET: validation of an iterative postreconstruction method with phantom and patient data.

Authors:  Boon-Keng Teo; Youngho Seo; Stephen L Bacharach; Jorge A Carrasquillo; Steven K Libutti; Himanshu Shukla; Bruce H Hasegawa; Randall A Hawkins; Benjamin L Franc
Journal:  J Nucl Med       Date:  2007-05       Impact factor: 10.057

9.  The role of 18F-FDG PET/CT in evaluation of early response to neoadjuvant chemotherapy in patients with locally advanced breast cancer.

Authors:  Amandeep Kumar; Rakesh Kumar; Vathalaru Seenu; Sidharatha Datta Gupta; Madhavi Chawla; Arun Malhotra; Sada Nand Mehta
Journal:  Eur Radiol       Date:  2009-02-13       Impact factor: 5.315

10.  Combined assessment of metabolic and volumetric changes for assessment of tumor response in patients with soft-tissue sarcomas.

Authors:  Matthias R Benz; Martin S Allen-Auerbach; Fritz C Eilber; Hui J J Chen; Sarah Dry; Michael E Phelps; Johannes Czernin; Wolfgang A Weber
Journal:  J Nucl Med       Date:  2008-09-15       Impact factor: 10.057

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  15 in total

Review 1.  Antiangiogenic therapy for refractory colorectal cancer: current options and future strategies.

Authors:  Rachel Riechelmann; Axel Grothey
Journal:  Ther Adv Med Oncol       Date:  2016-11-10       Impact factor: 8.168

2.  PET scans as a predictive marker of survival in advanced colorectal cancer.

Authors:  Minsig Choi; Sri Lakshmi S Kollepara; Lance K Heilbrun; Daryn Smith; Anthony F Shields; Philip A Philip
Journal:  Clin Colorectal Cancer       Date:  2014-10-23       Impact factor: 4.481

3.  A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction.

Authors:  Arman Rahmim; C Ross Schmidtlein; Andrew Jackson; Sara Sheikhbahaei; Charles Marcus; Saeed Ashrafinia; Madjid Soltani; Rathan M Subramaniam
Journal:  Phys Med Biol       Date:  2015-12-07       Impact factor: 3.609

4.  Role of PET quantitation in the monitoring of cancer response to treatment: Review of approaches and human clinical trials.

Authors:  Robert K Doot; Elizabeth S McDonald; David A Mankoff
Journal:  Clin Transl Imaging       Date:  2014-08-01

Review 5.  Positron Emission Tomography for the Response Evaluation following Treatment with Chemotherapy in Patients Affected by Colorectal Liver Metastases: A Selected Review.

Authors:  Alberto Zaniboni; Giordano Savelli; Claudio Pizzocaro; Pietro Basile; Valentina Massetti
Journal:  Gastroenterol Res Pract       Date:  2015-05-11       Impact factor: 2.260

6.  FDG-PET Response Prediction in Pediatric Hodgkin's Lymphoma: Impact of Metabolically Defined Tumor Volumes and Individualized SUV Measurements on the Positive Predictive Value.

Authors:  Amr Elsayed M Hussien; Christian Furth; Stefan Schönberger; Patrick Hundsdoerfer; Ingo G Steffen; Holger Amthauer; Hans-Wilhelm Müller; Hubertus Hautzel
Journal:  Cancers (Basel)       Date:  2015-01-28       Impact factor: 6.639

7.  Effects of ROI Placement on PET-Based Assessment of Tumor Response to Therapy.

Authors:  Mike Sattarivand; Curtis Caldwell; Ian Poon; Hany Soliman; Katherine Mah
Journal:  Int J Mol Imaging       Date:  2013-03-07

8.  Relationship between tumor heterogeneity measured on FDG-PET/CT and pathological prognostic factors in invasive breast cancer.

Authors:  Michael Soussan; Fanny Orlhac; Marouane Boubaya; Laurent Zelek; Marianne Ziol; Véronique Eder; Irène Buvat
Journal:  PLoS One       Date:  2014-04-10       Impact factor: 3.240

9.  Monitoring metabolic response using FDG PET-CT during targeted therapy for metastatic colorectal cancer.

Authors:  Erwin Woff; Alain Hendlisz; Camilo Garcia; Amelie Deleporte; Thierry Delaunoit; Raphaël Maréchal; Stéphane Holbrechts; Marc Van den Eynde; Gauthier Demolin; Irina Vierasu; Renaud Lhommel; Namur Gauthier; Thomas Guiot; Lieveke Ameye; Patrick Flamen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-04-12       Impact factor: 9.236

10.  Selected PET radiomic features remain the same.

Authors:  Tetsuya Tsujikawa; Hideaki Tsuyoshi; Masafumi Kanno; Shizuka Yamada; Masato Kobayashi; Norihiko Narita; Hirohiko Kimura; Shigeharu Fujieda; Yoshio Yoshida; Hidehiko Okazawa
Journal:  Oncotarget       Date:  2018-04-17
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