Decoding cholesteatoma radiological dimensions: unveiling the discrepancy between CT and MRI imaging and development of a predictive model based on CT and MRI volume comparison

Our study establishes a formula to estimate CHO size, highlighting the tendency of CT scans to overestimate volumes. While non-EPI DWI MRI remains the gold standard for accurate measurements, our findings emphasize the complementary roles of CT and MRI in CHO diagnosis and post-surgical follow-up through fusion techniques.

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Publication Details

Journal
Acta Oto-Laryngologica
Published
2025-04-08
DOI
https://doi.org/10.1080/00016489.2025.2484560
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Decoding cholesteatoma radiological dimensions: unveiling the discrepancy between CT and MRI imaging and development of a predictive model based on CT and MRI volume comparison

Andrea Romano, Chiara Filippi, Haitham H. Elfarargy, Piero Giuseppe Meliante et al.
Acta Oto-Laryngologica
Radiomics and Machine Learning in Medical Imaging
article

Decoding cholesteatoma radiological dimensions: unveiling the discrepancy between CT and MRI imaging and development of a predictive model based on CT and MRI volume comparison

Andrea Romano, Chiara Filippi, Haitham H. Elfarargy, Piero Giuseppe Meliante, Alessandro Bozzao, Edoardo Covelli, Maurizio Barbara, Sofia Pizzolante
article en

Abstract

Our study establishes a formula to estimate CHO size, highlighting the tendency of CT scans to overestimate volumes. While non-EPI DWI MRI remains the gold standard for accurate measurements, our findings emphasize the complementary roles of CT and MRI in CHO diagnosis and post-surgical follow-up through fusion techniques.

Acta Oto-LaryngologicaVol. 145(6)
Kafrelsheikh University (EG), Azienda Ospedaliera Sant'Andrea (IT), Sapienza University of Rome (IT)
Zero hunger
Openalex Percentile: Top 89%
Radiomics and Machine Learning in Medical Imaging
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Decoding cholesteatoma radiological dimensions: unveiling the discrepancy between CT and MRI imaging and development of a predictive model based on CT and MRI volume comparison — Andrea Romano, Chiara Filippi, et al. · Acta Oto-Laryngologica (2025) | TGRS Research Map | TGRS