1. Diagnostic interpretation of non-contrast qualitative MR imaging features for characterisation of uterine leiomyosarcoma
- Author
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Iztok Caglic, Helen Addley, Annemarie Bruining, Mercedes Jimenez-Linan, Janette Smith, Jeries Paolo Zawaideh, Luca Carmisciano, Hilal Sahin, Sue Freeman, Amreen Shakur, and Apollo - University of Cambridge Repository
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Adult ,Leiomyosarcoma ,medicine.medical_specialty ,media_common.quotation_subject ,030218 nuclear medicine & medical imaging ,Interpretation (model theory) ,Diagnosis, Differential ,03 medical and health sciences ,0302 clinical medicine ,Image Interpretation, Computer-Assisted ,medicine ,Humans ,Contrast (vision) ,Radiology, Nuclear Medicine and imaging ,Aged ,Retrospective Studies ,media_common ,Female genitourinary oncology special feature: Full Paper ,Uterine leiomyosarcoma ,business.industry ,Uterus ,Reproducibility of Results ,General Medicine ,Middle Aged ,Magnetic Resonance Imaging ,Mr imaging ,Evaluation Studies as Topic ,030220 oncology & carcinogenesis ,Uterine Neoplasms ,Female ,Radiology ,business ,Value (mathematics) - Abstract
Objective: To assess the value of non-contrast MRI features for characterisation of uterine leiomyosarcoma (LMS) and differentiation from atypical benign leiomyomas Methods: This study included 57 atypical leiomyomas and 16 LMS which were referred pre-operatively for management review to the specialist gynaeoncology multidisciplinary team meeting. Non-contrast MRIs were retrospectively reviewed by five independent readers (three senior, two junior) and a 5-level Likert score (1-low/5-high) was assigned to each mass for likelihood of LMS. Evaluation of qualitative and quantitative MRI features was done using uni- and multivariable regression analysis. Inter-reader reliability for the assessment of MRI features was calculated by using Cohen’s κ values. Results: In the univariate analysis, interruption of the endometrial interface and irregular tumour shape had the highest odds ratios (ORs) (64.00, p < 0.001 and 12.00, p = 0.002, respectively) for prediction of LMS. Likert score of the mass was significant in prediction (OR, 3.14; p < 0.001) with excellent reliability between readers (ICC 0.86; 95% CI, 0.76–0.92). The post-menopausal status, interruption of endometrial interface and thickened endometrial stripe were the most predictive independent variables in multivariable estimation of the risk of leiomyosarcoma with an accuracy of 0.88 (95%CI, 0.78–0.94). Conclusion: At any level of expertise as a radiologist reader, the loss of the normal endometrial stripe (either thickened or not seen) in a post-menopausal patient with a myometrial mass was highly likely to be LMS. Advances in knowledge: This study demonstrates the potential utility of non-contrast MRI features in characterisation of LMS over atypical leiomyomas, and therefore influence on optimal management of these cases.
- Published
- 2021
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