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Role of multi-parametric magnetic resonance imaging in preoperative staging of cervical carcinoma in females.
- Source :
- Egyptian Journal of Radiology & Nuclear Medicine; 3/20/2024, Vol. 55 Issue 1, p1-8, 8p
- Publication Year :
- 2024
-
Abstract
- Background: In cervical cancer, accurate diagnosis of parametrial invasion (PMI) helps in determining the next step in management, either surgical resection or neoadjuvant therapy. Cervical cancer staging is still determined according to the clinical findings. But it is widely recognized that there are differences between clinical evaluation and the actual disease extent, particularly for PMI. In this prospective study, we investigate the relationship between clinical staging and magnetic resonance imaging (MRI) staging with post-management findings among patients with cervical cancer who underwent pre-treatment MRI, using fused T2-weighted image/diffusion-weighted imaging (T2/DWI). Results: Based on examination under anesthesia (EUA), 80% of patients showed PMI, while fused T2/DWI was positive for PMI in 77.5% of patients. In all analyzed cases (40 females), MRI had sensitivity, specificity, and accuracy of 91%, 75%, and 87.5% compared to EUA. In the operated patients (24 females), MRI likewise had sensitivity, specificity, and accuracy of 81.3%, 87.5%, and 83%, respectively. In comparison with the postoperative results, the EUA showed higher sensitivity and accuracy than MRI (92.9% vs. 81.3%) and (83.3% vs. 79.2%), respectively, in the detection of PMI in operated cases. However, MRI was more specific in the PMI detection in cases with cervical cancer than EUA (75% vs. 70%). Conclusion: MRI (with the aid of fused T2/DWI) improves the diagnostic performance for the PMI assessment in cases with cervical carcinoma. Therefore, MRI is helpful in choosing surgical candidates. [ABSTRACT FROM AUTHOR]
- Subjects :
- CANCER diagnosis
CROSS-sectional method
PREDICTIVE tests
CERVIX uteri tumors
CANCER
COMPUTER-assisted image analysis (Medicine)
SCIENTIFIC observation
MAGNETIC resonance imaging
PREOPERATIVE care
DESCRIPTIVE statistics
TUMOR classification
CONFIDENCE intervals
DATA analysis software
SENSITIVITY & specificity (Statistics)
Subjects
Details
- Language :
- English
- ISSN :
- 0378603X
- Volume :
- 55
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Egyptian Journal of Radiology & Nuclear Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 176180104
- Full Text :
- https://doi.org/10.1186/s43055-024-01222-1