Literature DB >> 30927958

Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy.

Roland M Martens1, Daniel P Noij2, Thomas Koopman2, Ben Zwezerijnen2, Martijn Heymans3, Marcus C de Jong2, Otto S Hoekstra2, Marije R Vergeer4, Remco de Bree5, C René Leemans6, Pim de Graaf2, Ronald Boellaard2, Jonas A Castelijns2.   

Abstract

BACKGROUND AND
PURPOSE: In head and neck squamous cell carcinoma (HNSCC) (chemo)radiotherapy is increasingly used to preserve organ functionality. The purpose of this study was to identify predictive pretreatment DWI- and 18F-FDG-PET/CT-parameters for treatment failure (TF), locoregional recurrence (LR) and death in HNSCC patients treated by (chemo)radiotherapy.
MATERIALS AND METHODS: We retrospectively included 134 histologically proven HNSCC patients treated with (chemo)radiotherapy between 2012-2017. In 58 patients pre-treatment DWI and 18F-FDG-PET/CT were performed, in 31 patients DWI only and in 45 patients 18F-FDG-PET/CT only. Primary tumor (PT) and largest lymph node (LN) metastasis were quantitatively assessed for TF, LR and death. Multivariate analysis was performed for 18F-FDG-PET/CT and DWI separately and thereafter combined. In patients with both imaging modalities, positive and negative predictive value in TF and differences in LR and death, were assessed.
RESULTS: Mean follow-up was 25.6 months (interquartile-range; 14.0-37.1 months). Predictors of treatment failure, corrected for TNM-stage and HPV-status, were SUVmax-PT, ADCmax-PT, total lesion glycolysis (TLG-LN), ADCp20-LN (P = 0.049, P = 0.024, P = 0.031, P = 0.047, respectively). TLG-PT was predictive for LR (P = 0.003). Metabolic active tumor volume (MATV-PT) (P = 0.003), ADCGTV-PT (P < 0.001), ADCSD (P = 0.048) were significant predictors for death. In patients with both imaging modalities SUVmax-PT remained predictive for treatment failure (P = 0.049), TLG-LN for LR (P = 0.003) and ADCGTV-PT for death (P < 0.001). Higher predictive value for treatment failure was found for the combination of SUVmax-PT and ADCmax-PT, compared to either one separately.
CONCLUSION: Both DWI- and 18F-FDG-PET/CT-parameters appear to have predictive value for treatment failure, locoregional recurrence and death. Combining SUVmax-PT and ADCmax-PT resulted in better prediction of treatment failure compared to single parameter assessment.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DWI; Head and neck; MRI; PET; Prognosis; Squamous cell carcinoma

Mesh:

Substances:

Year:  2019        PMID: 30927958     DOI: 10.1016/j.ejrad.2019.01.031

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  10 in total

Review 1.  Advances in Imaging for HPV-Related Oropharyngeal Cancer: Applications to Radiation Oncology.

Authors:  Travis C Salzillo; Nicolette Taku; Kareem A Wahid; Brigid A McDonald; Jarey Wang; Lisanne V van Dijk; Jillian M Rigert; Abdallah S R Mohamed; Jihong Wang; Stephen Y Lai; Clifton D Fuller
Journal:  Semin Radiat Oncol       Date:  2021-10       Impact factor: 5.421

2.  Pretreatment DWI with Histogram Analysis of the ADC in Predicting the Outcome of Advanced Oropharyngeal Cancer with Known Human Papillomavirus Status Treated with Chemoradiation.

Authors:  M Ravanelli; A Grammatica; M Maddalo; M Ramanzin; G M Agazzi; E Tononcelli; S Battocchio; P Bossi; M Vezzoli; R Maroldi; D Farina
Journal:  AJNR Am J Neuroradiol       Date:  2020-07-30       Impact factor: 3.825

Review 3.  Recent advances of PET imaging in clinical radiation oncology.

Authors:  M Unterrainer; C Eze; H Ilhan; S Marschner; O Roengvoraphoj; N S Schmidt-Hegemann; F Walter; W G Kunz; P Munck Af Rosenschöld; R Jeraj; N L Albert; A L Grosu; M Niyazi; P Bartenstein; C Belka
Journal:  Radiat Oncol       Date:  2020-04-21       Impact factor: 3.481

Review 4.  Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation.

Authors:  Daniela Thorwarth; Matthias Ege; Marcel Nachbar; David Mönnich; Cihan Gani; Daniel Zips; Simon Boeke
Journal:  Phys Imaging Radiat Oncol       Date:  2020-10-17

5.  Prognostic value of 18F-FDG PET/MRI in patients with advanced oropharyngeal and hypopharyngeal squamous cell carcinoma.

Authors:  Leonardo Pace; Emanuele Nicolai; Carlo Cavaliere; Luca Basso; Nunzia Garbino; Giacomo Spinato; Marco Salvatore
Journal:  Ann Nucl Med       Date:  2021-02-11       Impact factor: 2.668

6.  Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN.

Authors:  Jens P E Schouten; Samantha Noteboom; Roland M Martens; Steven W Mes; C René Leemans; Pim de Graaf; Martijn D Steenwijk
Journal:  Cancer Imaging       Date:  2022-01-15       Impact factor: 3.909

7.  Correlation between 18F-FDG PET/CT and diffusion-weighted MRI parameters in head and neck squamous cell carcinoma at baseline and after chemo-radiotherapy. A retrospective single institutional study.

Authors:  Ludovico M Garau; Gianpiero Manca; Stefano Bola; Giacomo Aringhieri; Lorenzo Faggioni; Duccio Volterrani
Journal:  Oral Radiol       Date:  2021-06-16       Impact factor: 1.852

8.  Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma.

Authors:  Victor I J Strijbis; Christiaan M de Bloeme; Robin W Jansen; Hamza Kebiri; Huu-Giao Nguyen; Marcus C de Jong; Annette C Moll; Merixtell Bach-Cuadra; Pim de Graaf; Martijn D Steenwijk
Journal:  Sci Rep       Date:  2021-07-16       Impact factor: 4.379

9.  Predictive Values of MRI and PET Derived Quantitative Parameters for Patterns of Failure in Both p16+ and p16- High Risk Head and Neck Cancer.

Authors:  Yue Cao; Madhava Aryal; Pin Li; Choonik Lee; Matthew Schipper; Peter G Hawkins; Christina Chapman; Dawn Owen; Aleksandar F Dragovic; Paul Swiecicki; Keith Casper; Francis Worden; Theodore S Lawrence; Avraham Eisbruch; Michelle Mierzwa
Journal:  Front Oncol       Date:  2019-11-14       Impact factor: 6.244

10.  The impact of Human Papilloma Virus status on the prediction of head and neck cancer chemoradiotherapy outcomes using the pre-treatment apparent diffusion coefficient.

Authors:  Steve Connor; Mustafa Anjari; Christian Burd; Amrita Guha; Mary Lei; Teresa Guerrero-Urbano; Irumee Pai; Paul Bassett; Vicky Goh
Journal:  Br J Radiol       Date:  2021-12-20       Impact factor: 3.039

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.