Literature DB >> 22968400

The age of reason for FDG PET image-derived indices.

Dimitris Visvikis, Mathieu Hatt, Florent Tixier, Catherine Cheze Le Rest.   

Abstract

Mesh：

Year:  2012        PMID： 22968400      PMCID： PMC4004824          DOI： 10.1007/s00259-012-2239-0

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


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  19 in total

1.  Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer.

Authors:  Ursula Nestle; Stephanie Kremp; Andrea Schaefer-Schuler; Christiane Sebastian-Welsch; Dirk Hellwig; Christian Rübe; Carl-Martin Kirsch
Journal:  J Nucl Med       Date:  2005-08       Impact factor: 10.057

2.  Impact of the definition of peak standardized uptake value on quantification of treatment response.

Authors:  Matt Vanderhoek; Scott B Perlman; Robert Jeraj
Journal:  J Nucl Med       Date:  2012-01       Impact factor: 10.057

3.  Prognostic value of 18F-FDG PET image-based parameters in oesophageal cancer and impact of tumour delineation methodology.

Authors:  Mathieu Hatt; Dimitris Visvikis; Nidal M Albarghach; Florent Tixier; Olivier Pradier; Catherine Cheze-le Rest
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-03-02       Impact factor: 9.236

4.  Baseline ¹⁸F-FDG PET image-derived parameters for therapy response prediction in oesophageal cancer.

Authors:  Mathieu Hatt; Dimitris Visvikis; Olivier Pradier; Catherine Cheze-le Rest
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-05-11       Impact factor: 9.236

5.  Volume-based parameter of 18)F-FDG PET/CT in malignant pleural mesothelioma: prediction of therapeutic response and prognostic implications.

Authors:  Ho Yun Lee; Seung Hyup Hyun; Kyung Soo Lee; Byung-Tae Kim; Jhingook Kim; Young Mog Shim; Myung-Ju Ahn; Tae Sung Kim; Chin A Yi; Myung Jin Chung
Journal:  Ann Surg Oncol       Date:  2010-05-12       Impact factor: 5.344

6.  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

7.  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

8.  Comparative assessment of methods for estimating tumor volume and standardized uptake value in (18)F-FDG PET.

Authors:  Perrine Tylski; Simon Stute; Nicolas Grotus; Kaya Doyeux; Sébastien Hapdey; Isabelle Gardin; Bruno Vanderlinden; Irène Buvat
Journal:  J Nucl Med       Date:  2010-01-15       Impact factor: 10.057

Review 9.  From RECIST to PERCIST: Evolving Considerations for PET response criteria in solid tumors.

Authors:  Richard L Wahl; Heather Jacene; Yvette Kasamon; Martin A Lodge
Journal:  J Nucl Med       Date:  2009-05       Impact factor: 10.057

10.  Pre-therapy 18F-FDG PET quantitative parameters help in predicting the response to radioimmunotherapy in non-Hodgkin lymphoma.

Authors:  Thomas Cazaentre; Franck Morschhauser; Maximilien Vermandel; Nacim Betrouni; Thierry Prangère; Marc Steinling; Damien Huglo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-09-30       Impact factor: 9.236
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  16 in total

1.  Preoperative prediction of regional lymph node metastasis of colorectal cancer based on 18F-FDG PET/CT and machine learning.

Authors:  Jiahong He; Quanshi Wang; Yin Zhang; Hubing Wu; Yongsheng Zhou; Shuangquan Zhao
Journal:  Ann Nucl Med       Date:  2021-03-18       Impact factor: 2.668

2.  FDG PET/CT methodology for evaluation of treatment response in lymphoma: from "graded visual analysis" and "semiquantitative SUVmax" to global disease burden assessment.

Authors:  Sandip Basu; Habib Zaidi; Ali Salavati; Søren Hess; Poul Flemming Høilund Carlsen; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-07-04       Impact factor: 9.236

3.  Variability of average SUV from several hottest voxels is lower than that of SUVmax and SUVpeak.

Authors:  E Laffon; F Lamare; H de Clermont; I A Burger; R Marthan
Journal:  Eur Radiol       Date:  2014-06-04       Impact factor: 5.315

Review 4.  Characterization of PET/CT images using texture analysis: the past, the present… any future?

Authors:  Mathieu Hatt; Florent Tixier; Larry Pierce; Paul E Kinahan; Catherine Cheze Le Rest; Dimitris Visvikis
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-06-06       Impact factor: 9.236

5.  Predictive medicine: towards a multi-parametric imaging for a personal risk stratification.

Authors:  Eric Guedj; Serge Cammilleri; Antoine Verger
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-02       Impact factor: 9.236

6.  18F-FDG PET/CT heterogeneity quantification through textural features in the era of harmonisation programs: a focus on lung cancer.

Authors:  Charline Lasnon; Mohamed Majdoub; Brice Lavigne; Pascal Do; Jeannick Madelaine; Dimitris Visvikis; Mathieu Hatt; Nicolas Aide
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-06-21       Impact factor: 9.236

7.  Robustness of intratumour ¹⁸F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma.

Authors:  Mathieu Hatt; Florent Tixier; Catherine Cheze Le Rest; Olivier Pradier; Dimitris Visvikis
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-07-16       Impact factor: 9.236

8.  Prognostic value of metabolic parameters and clinical impact of ¹⁸F-fluorocholine PET/CT in biochemical recurrent prostate cancer.

Authors:  M Colombié; L Campion; C Bailly; D Rusu; T Rousseau; C Mathieu; L Ferrer; N Rousseau; F Kraeber-Bodéré; C Rousseau
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-07-21       Impact factor: 9.236

9.  Standardized added metabolic activity (SAM) IN ¹⁸F-FDG PET assessment of treatment response in colorectal liver metastases.

Authors:  Jeroen Mertens; S De Bruyne; N Van Damme; P Smeets; W Ceelen; R Troisi; S Laurent; K Geboes; M Peeters; I Goethals; C Van de Wiele
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-05-01       Impact factor: 9.236

10.  The exploration of quantitative intra-tumoral metabolic heterogeneity in dual-time 18F-FDG PET/CT of pancreatic cancer.

Authors:  Guorong Jia; Jian Zhang; Rou Li; Jianhua Yan; Changjing Zuo
Journal:  Abdom Radiol (NY)       Date:  2021-04-18
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