Literature DB >> 16641411

Evaluation of the larynx for tumour recurrence by diffusion-weighted MRI after radiotherapy: initial experience in four cases.

V Vandecaveye1, F de Keyzer, V Vander Poorten, K Deraedt, H Alaerts, W Landuyt, S Nuyts, R Hermans.   

Abstract

Radiotherapy-induced changes in the soft tissues of the neck hamper the early detection of persistent or recurrent tumour by clinical examination and imaging procedures. Diffusion-weighted (DW) MRI is a non-invasive technique capable of probing tissue properties by measuring the movement of water. The purpose of the ongoing study is to examine the usefulness of DW-MRI for differentiation of persistent or recurrent tumour from post-radiotherapeutic sequelae or complications. Four patients, suspected of tumour recurrence after radiotherapy for laryngeal squamous cell carcinoma, were examined using a DW-MRI sequence on a clinical 1.5 T MR system prior to surgery. In two patients, the DW-MRI images showed an asymmetric hyperintense lesion on b1000 images with low apparent diffusion coefficient (ADC)-value, compatible with tumour on histopathology. All surrounding tissue presented high ADC values and absent signal on the b1000 images, histopathologically correlating to post-radiotherapeutic changes. The images of the third and fourth patient showed absent or minimal symmetric hyperintensity of the laryngeal soft tissues on the b1000 images and high ADC-values. In these cases, the histopathological diagnosis of radionecrosis was made and no tumour was found. In all four cases, differentiation of tumoral tissue from radiotherapy-induced tissue alterations was possible with DW-MRI.

Entities:  

Mesh:

Year:  2006        PMID: 16641411     DOI: 10.1259/bjr/89661809

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  16 in total

Review 1.  Biologic imaging of head and neck cancer: the present and the future.

Authors:  A Srinivasan; S Mohan; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-22       Impact factor: 3.825

2.  Changes in apparent diffusion coefficients in the normal uterus during different phases of the menstrual cycle.

Authors:  A Kido; M Kataoka; T Koyama; A Yamamoto; T Saga; K Togashi
Journal:  Br J Radiol       Date:  2010-06       Impact factor: 3.039

3.  Head and neck cancer: how imaging predicts treatment outcome.

Authors:  Robert Hermans
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

4.  Diagnostic accuracy and additional value of diffusion-weighted imaging for discrimination of malignant cervical lymph nodes in head and neck squamous cell carcinoma.

Authors:  R B J de Bondt; M C Hoeberigs; P J Nelemans; W M L L G Deserno; C Peutz-Kootstra; B Kremer; R G H Beets-Tan
Journal:  Neuroradiology       Date:  2009-01-10       Impact factor: 2.804

Review 5.  The emerging potential of magnetic resonance imaging in personalizing radiotherapy for head and neck cancer: an oncologist's perspective.

Authors:  Kee H Wong; Rafal Panek; Shreerang A Bhide; Christopher M Nutting; Kevin J Harrington; Katie L Newbold
Journal:  Br J Radiol       Date:  2017-03       Impact factor: 3.039

Review 6.  Non-invasive imaging of angiogenesis in head and neck squamous cell carcinoma.

Authors:  Jacobus F A Jansen; Jason A Koutcher; Amita Shukla-Dave
Journal:  Angiogenesis       Date:  2010-04-11       Impact factor: 9.596

7.  Dynamic Contrast-Enhanced MRI Parameters as Biomarkers in Assessing Head and Neck Lesions After Chemoradiotherapy Using a Wide-Bore 3 Tesla Scanner.

Authors:  Gergely Lerant; Peter Sarkozy; Zoltan Takacsi-Nagy; Gabor Polony; Laszlo Tamas; Erika Toth; Andras Boer; Laszlo Javor; Maria Godeny
Journal:  Pathol Oncol Res       Date:  2015-04-30       Impact factor: 3.201

8.  The clinical utility of reduced-distortion readout-segmented echo-planar imaging in the head and neck region: initial experience.

Authors:  Sho Koyasu; Mami Iima; Shigeaki Umeoka; Nobuko Morisawa; David A Porter; Juichi Ito; Denis Le Bihan; Kaori Togashi
Journal:  Eur Radiol       Date:  2014-08-13       Impact factor: 5.315

9.  Utility of the k-means clustering algorithm in differentiating apparent diffusion coefficient values of benign and malignant neck pathologies.

Authors:  A Srinivasan; C J Galbán; T D Johnson; T L Chenevert; B D Ross; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-10       Impact factor: 3.825

10.  Differentiation of benign and malignant pathology in the head and neck using 3T apparent diffusion coefficient values: early experience.

Authors:  A Srinivasan; R Dvorak; K Perni; S Rohrer; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2007-10-05       Impact factor: 3.825

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