Literature DB >> 31422219

Value of diffusion MR imaging in differentiation of recurrent head and neck malignancies from post treatment changes.

Ankush Jajodia1, Deepa Aggarwal2, Arvind K Chaturvedi2, Avinash Rao2, Vivek Mahawar2, Munish Gairola3, Mudit Agarwal4, Sumit Goyal5, Venkata Pradeep Babu Koyyala5, Sunil Pasricha6, Rupal Tripathi7.   

Abstract

PURPOSE: Role of diffusion-weighted (DW) MR imaging in differentiating residual or recurrent neck malignancies from postoperative/post-radiation changes with histopathological correlation and comparison with PET-CT. METHODS AND MATERIALS: Prospective observational study for a period of 1 year in 62 post-radiation/post-operative patients suspected to have residual/recurrent tumors of neck with lesion diameter more than 5 mm measured on MRI.
RESULTS: Mean ADC for recurrent/residual tumors: 1.008 ± 0.220 × 10-3 mm2/s - significantly lower than mean ADC value for post-treatment changes of 1.69 ± 0.40 × 10-3 mm2/s (p < 0.0001). The overall diagnostic accuracy, positive predictive value (PPV) and negative predictive value (NPV) of the qualitative assessment for the use of DWI in differentiating tumors recurrence from post-treatment changes were 96.6%, 96% and 83.3%, respectively. Upon quantitative analysis of the DW imaging data, a threshold ADC value of 1.3 × 10-3 mm2/s used for differentiating between post-treatment changes and recurrent cancers showed the highest combined sensitivity of 94%, specificity of 83.3%, accuracy of 93.6%, positive predictive value of 95.9%, and negative predictive value of 83.3%.
CONCLUSION: DW MRI is a promising non-invasive MRI technique used to differentiate recurrent/residual head and neck malignancies from posttreatment changes based on ADC values. DWI offers advantage as it has a short scanning time and can be safely added to standard MRI protocol with minimum patient discomfort. Complementary use of DWI and PET/CT imaging may increase diagnostic confidence for differentiating recurrent disease from radiation therapy-induced changes after 6-12 months in posttreatment cases.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; FDG – PET; Histology; Recurrence

Mesh:

Year:  2019        PMID: 31422219     DOI: 10.1016/j.oraloncology.2019.06.037

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  3 in total

1.  Quantitative Analysis of DCE-MRI and RESOLVE-DWI for Differentiating Nasopharyngeal Carcinoma from Nasopharyngeal Lymphoid Hyperplasia.

Authors:  J Y Yu; D Zhang; X L Huang; J Ma; C Yang; X J Li; H Xiong; B Zhou; R K Liao; Z Y Tang
Journal:  J Med Syst       Date:  2020-02-26       Impact factor: 4.460

2.  ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer: A Systematic Review and Meta-analysis.

Authors:  A Baba; R Kurokawa; M Kurokawa; O Hassan; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-02-24       Impact factor: 3.825

3.  Normalized Parameters of Dynamic Contrast-Enhanced Perfusion MRI and DWI-ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer.

Authors:  A Baba; R Kurokawa; E Rawie; M Kurokawa; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-07-14       Impact factor: 4.966

  3 in total

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