Literature DB >> 30256200

Using Non-Echoplanar Diffusion Weighted MRI in Detecting Cholesteatoma Following Canal Wall Down Mastoidectomy - Our Experience with 20 Patient Episodes.

Bhavesh Patel1, Andrew Hall1, Ravi Lingam2, Arvind Singh1.   

Abstract

OBJECTIVE: To our knowledge, there is no study exploring specifically the diagnostic performance of diffusion-weighted imaging (DWI) in patients with previous canal wall down (CWD) surgery when combined with appropriate clinical evaluation. The aim of the present study was to evaluate the performance of DWI in the detection of residual or recurrent disease in patients who have had a previous CWD mastoidectomy.
MATERIALS AND METHODS: We identified 13 patients with a CWD mastoidectomy subsequently having at least one further DWI prior to further mastoid exploration that generated a total of 20 patient episodes. Magnetic resonance imaging was performed on a 1.5 T superconductive unit using a standard head matrix coil. Coronal 2 mm thick TSE T2-weighted images (TR: 4640 ms; TE: 103 ms; matrix: 245,384; field of view: 150×200 mm) were performed. Operative findings were reviewed for all 20 patient episodes to compare DWI findings with intraoperative findings. Based on this, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated.
RESULTS: DWI had a sensitivity of 93%, specificity of 60%, PPV of 87%, NPV of 75%, and accuracy of 80%.
CONCLUSION: Given the high sensitivity of DWI in the detection of residual or recurrent disease, the present study supports DWI as a useful tool in the detection of residual or recurrent cholesteatoma in cases following CWD surgery, where clinical acumen suggests an ongoing disease process despite no overt cholesteatoma being visible.

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Year:  2018        PMID: 30256200      PMCID: PMC6354465          DOI: 10.5152/iao.2018.5033

Source DB:  PubMed          Journal:  J Int Adv Otol        ISSN: 1308-7649            Impact factor:   1.017


  1 in total

1.  Non-EPI-DWI for Detection, Disease Monitoring, and Clinical Decision-Making in Thyroid Eye Disease.

Authors:  C Feeney; R K Lingam; V Lee; F Rahman; S Nagendran
Journal:  AJNR Am J Neuroradiol       Date:  2020-08       Impact factor: 3.825

  1 in total

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