Literature DB >> 30549149

Prognostic value of textural indices extracted from pretherapeutic 18-F FDG-PET/CT in head and neck squamous cell carcinoma.

Catherine Guezennec1, Philippe Robin1, Fanny Orlhac2, David Bourhis1, Olivier Delcroix1, Yves Gobel3, Jean Rousset4, Ulrike Schick5, Pierre-Yves Salaün1, Ronan Abgral1.   

Abstract

BACKGROUND: This study aimed at assessing the prognostic value of textural indices extracted from 18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)/CT in a large cohort of patients with head and neck squamous cell carcinomas (HNSCC) of any anatomic subsite and staging.
METHODS: Consecutive patients with HNSCC referred for a pretreatment FDG-PET/CT were retrospectively included and followed up for a minimum of 2 years. Standardized uptake value, metabolic tumor volume (MTV), and textural indices were calculated using LIFEx software. Prognostic significance of parameters was assessed in univariate and multivariate analysis.
RESULTS: Textural indices were extracted in 284 patients (mean age = 63.7±9.6 years). In univariate analysis, MTV and 4 textural indices-Correlation, Entropy, Energy, and Coarseness-were significantly correlated with overall survival (OS). In multivariate analysis, MTV (P = .008) and Correlation (P = .028) remained independently correlated to OS.
CONCLUSION: This study showed that MTV and 1 textural index extracted from pretherapeutic FDG-PET/CT (Correlation) were independent prognostic factors of OS in patients with HNSCC.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  FDG; PET/CT; head and neck squamous cell carcinoma; oncology; textural analysis

Year:  2018        PMID: 30549149     DOI: 10.1002/hed.25433

Source DB:  PubMed          Journal:  Head Neck        ISSN: 1043-3074            Impact factor:   3.147


  9 in total

Review 1.  Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.

Authors:  David Morland; Elizabeth Katherine Anna Triumbari; Luca Boldrini; Roberto Gatta; Daniele Pizzuto; Salvatore Annunziata
Journal:  Diagnostics (Basel)       Date:  2022-05-27

2.  The application of radiomics in laryngeal cancer.

Authors:  Amarkumar Dhirajlal Rajgor; Shreena Patel; David McCulloch; Boguslaw Obara; Jaume Bacardit; Andrew McQueen; Eric Aboagye; Tamir Ali; James O'Hara; David Winston Hamilton
Journal:  Br J Radiol       Date:  2021-09-29       Impact factor: 3.039

Review 3.  Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers.

Authors:  Maryam Gul; Kimberley-Jane C Bonjoc; David Gorlin; Chi Wah Wong; Amirah Salem; Vincent La; Aleksandr Filippov; Abbas Chaudhry; Muhammad H Imam; Ammar A Chaudhry
Journal:  Front Oncol       Date:  2021-07-07       Impact factor: 6.244

4.  Inter-observer and segmentation method variability of textural analysis in pre-therapeutic FDG PET/CT in head and neck cancer.

Authors:  Catherine Guezennec; David Bourhis; Fanny Orlhac; Philippe Robin; Jean-Baptiste Corre; Olivier Delcroix; Yves Gobel; Ulrike Schick; Pierre-Yves Salaün; Ronan Abgral
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

5.  Comparison of Volumetric Quantitative PET Parameters Before and After a CT-Based Elastic Deformation on Dual-Time 18FDG-PET/CT Images: A Feasibility Study in a Perspective of Radiotherapy Planning in Head and Neck Cancer.

Authors:  Meriem Maajem; Jean-Christophe Leclère; David Bourhis; Valentin Tissot; Nicolas Icard; Laëtitia Arnaud; Romain Le Pennec; Gurvan Dissaux; Dorothy M Gujral; Pierre-Yves Salaün; Ulrike Schick; Ronan Abgral
Journal:  Front Med (Lausanne)       Date:  2022-02-11

6.  Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer.

Authors:  Clément Bouron; Clara Mathie; Valérie Seegers; Olivier Morel; Pascal Jézéquel; Hamza Lasla; Camille Guillerminet; Sylvie Girault; Marie Lacombe; Avigaelle Sher; Franck Lacoeuille; Anne Patsouris; Aude Testard
Journal:  Cancers (Basel)       Date:  2022-01-27       Impact factor: 6.639

7.  A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images.

Authors:  Omneya Attallah
Journal:  Digit Health       Date:  2022-04-11

8.  Radiomics-based prediction of survival in patients with head and neck squamous cell carcinoma based on pre- and post-treatment 18F-PET/CT.

Authors:  Zheran Liu; Yuan Cao; Wei Diao; Yue Cheng; Zhiyun Jia; Xingchen Peng
Journal:  Aging (Albany NY)       Date:  2020-07-16       Impact factor: 5.682

Review 9.  Radiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysis.

Authors:  Carlos Miguel Chiesa-Estomba; Oier Echaniz; Ekhiñe Larruscain; Jose Angel Gonzalez-Garcia; Jon Alexander Sistiaga-Suarez; Manuel Graña
Journal:  Cancers (Basel)       Date:  2019-09-20       Impact factor: 6.639

  9 in total

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