Literature DB >> 25467228

Predictive value of diffusion-weighted imaging without and with including contrast-enhanced magnetic resonance imaging in image analysis of head and neck squamous cell carcinoma.

Daniel P Noij1, Petra J W Pouwels2, Redina Ljumanovic3, Dirk L Knol4, Patricia Doornaert5, Remco de Bree6, Jonas A Castelijns7, Pim de Graaf8.   

Abstract

OBJECTIVES: To assess disease-free survival (DFS) in head and neck squamous cell carcinoma (HNSCC) treated with (chemo)radiotherapy ([C]RT).
METHODS: Pretreatment MR-images of 78 patients were retrospectively studied. Apparent diffusion coefficients (ADC) were calculated with two sets of two b-values: 0-750s/mm(2) (ADC750) and 0-1000s/mm(2) (ADC1000). One observer assessed tumor volume on T1-WI. Two independent observers assessed ADC-values of primary tumor and largest lymph node in two sessions (i.e. without and with including CE-T1WI in image analysis). Interobserver and intersession agreement were assessed with intraclass correlation coefficients (ICC) separately for ADC750 and ADC1000. Lesion volumes and ADC-values were related to DFS using Cox regression analysis.
RESULTS: Median follow-up was 18 months. Interobserver ICC was better without than with CE-T1WI (primary tumor: 0.92 and 0.75-0.83, respectively; lymph node: 0.81-0.83 and 0.61-0.64, respectively). Intersession ICC ranged from 0.84 to 0.89. With CE-T1WI, mean ADC-values of primary tumor and lymph node were higher at both b-values than without CE-T1WI (P<0.001). Tumor volume (sensitivity: 73%; specificity: 57%) and lymph node ADC1000 (sensitivity: 71-79%; specificity: 77-79%) were independent significant predictors of DFS without and with including CE-T1WI (P<0.05).
CONCLUSIONS: Pretreatment primary tumor volume and lymph node ADC1000 were significant independent predictors of DFS in HNSCC treated with (C)RT. DFS could be predicted from ADC-values acquired without and with including CE-T1WI in image analysis. The inclusion of CE-T1WI did not result in significant improvements in the predictive value of DWI. DWI without including CE-T1WI was highly reproducible.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Diffusion weighted imaging; Head and neck neoplasms; Magnetic resonance imaging; Observer variation; Prognosis

Mesh:

Substances:

Year:  2014        PMID: 25467228     DOI: 10.1016/j.ejrad.2014.10.015

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


  21 in total

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Review 4.  Role of diffusion-weighted imaging in head and neck lesions: Pictorial review.

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7.  Diffusion-weighted imaging of nasopharyngeal carcinoma to predict distant metastases.

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Journal:  Eur Arch Otorhinolaryngol       Date:  2016-10-08       Impact factor: 2.503

8.  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

9.  Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values.

Authors:  Pedro Augusto Gondim Teixeira; Frederique Gay; Bailiang Chen; Marie Zins; François Sirveaux; Jacques Felblinger; Alain Blum
Journal:  Skeletal Radiol       Date:  2015-12-01       Impact factor: 2.199

Review 10.  Evaluation of Head and Neck Tumors with Functional MR Imaging.

Authors:  Jacobus F A Jansen; Carlos Parra; Yonggang Lu; Amita Shukla-Dave
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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