Diagnostic validity and reliability of Osseous Tumour reporting and data system (OT-RADS) in the management of primary bone Tumour.

Purpose: To validate an Osseous Tumour Reporting and Data System (OT-RADS) with the hypothesis that the suggested principles can be used as a trusted guidelines and differentiate benign and malignant bone tumours in a reliable way with a good area under the curve. Methods: This multi-reader cross-sectional validation study focused on evaluating osseous tumours using the OT-RADS classification based on magnetic resonance imaging features and expert consensus. The OT-RADS categories ranged from 0 (incomplete imaging) to VI (known biopsy-proven malignancy). Three blinded readers categorized each tumour, and inter-reader agreement was measured using Intra Class Correlation (ICC) and Conger κ. Diagnostic performance was assessed with the area under the receiver operating curve. The system was dichotomized into benign (I–III) and malignant (IV–V) categories to calculate sensitivity and specificity for accurate tumour classification. Results: Inter reader agreement for OT-RADS (ICC = 0.913), with confidence interval range (0.892:0.942) and binary distinction of benign versus malignant (κ = 0.58) were good to excellent. The sensitivities, specificities, and area under the receiver operating curve of the readers ranged from 81.3-87.5 %,76.5-82.3 and 0.844–0.886 respectively. Conclusions: Osseous Tumour Reporting and Data System lexicon has a great reliability and helps in stratification of tumours into benign and malignant categories. It can be prudently used for accurate characterization of bone tumours. The radiologists can use it in a practical way to guide the management of the patients, improve multidisciplinary communications and impacts. Referring consultants considered OT-RADS a helpful classification for clinical decision –making in bone tumours.

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Publication Details

Journal
Benha Medical Journal
Published
2025-08-18
DOI
https://doi.org/10.21608/bmfj.2025.357161.2320
Primary Topic
Radiomics and Machine Learning in Medical Imaging
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article
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article

Diagnostic validity and reliability of Osseous Tumour reporting and data system (OT-RADS) in the management of primary bone Tumour.

Hesham El sayed El sheikh, Ahmed Mohamed Alsowey, Sherif Abdelsatar, Maha El-Saeed
Benha Medical Journal
Radiomics and Machine Learning in Medical Imaging
article

Diagnostic validity and reliability of Osseous Tumour reporting and data system (OT-RADS) in the management of primary bone Tumour.

Hesham El sayed El sheikh, Ahmed Mohamed Alsowey, Sherif Abdelsatar, Maha El-Saeed
article en

Abstract

Purpose: To validate an Osseous Tumour Reporting and Data System (OT-RADS) with the hypothesis that the suggested principles can be used as a trusted guidelines and differentiate benign and malignant bone tumours in a reliable way with a good area under the curve. Methods: This multi-reader cross-sectional validation study focused on evaluating osseous tumours using the OT-RADS classification based on magnetic resonance imaging features and expert consensus. The OT-RADS categories ranged from 0 (incomplete imaging) to VI (known biopsy-proven malignancy). Three blinded readers categorized each tumour, and inter-reader agreement was measured using Intra Class Correlation (ICC) and Conger κ. Diagnostic performance was assessed with the area under the receiver operating curve. The system was dichotomized into benign (I–III) and malignant (IV–V) categories to calculate sensitivity and specificity for accurate tumour classification. Results: Inter reader agreement for OT-RADS (ICC = 0.913), with confidence interval range (0.892:0.942) and binary distinction of benign versus malignant (κ = 0.58) were good to excellent. The sensitivities, specificities, and area under the receiver operating curve of the readers ranged from 81.3-87.5 %,76.5-82.3 and 0.844–0.886 respectively. Conclusions: Osseous Tumour Reporting and Data System lexicon has a great reliability and helps in stratification of tumours into benign and malignant categories. It can be prudently used for accurate characterization of bone tumours. The radiologists can use it in a practical way to guide the management of the patients, improve multidisciplinary communications and impacts. Referring consultants considered OT-RADS a helpful classification for clinical decision –making in bone tumours.

Benha Medical JournalVol. 0(0)
Zagazig University (EG), Benha University (EG)
Openalex Percentile: Top 69%
Radiomics and Machine Learning in Medical Imaging
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