Shweel MA, Abdel-Gawad EA, Abdel-Gawad EA, Abdelghany HS, Abdel-Rahman AM, Ibrahim EM. Uterine cervical malignancy: diagnostic accuracy of MRI with histopathologic correlation.
J Clin Imaging Sci 2012;
2:42. [PMID:
22919556 PMCID:
PMC3424688 DOI:
10.4103/2156-7514.99175]
[Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2012] [Accepted: 05/24/2012] [Indexed: 11/25/2022] Open
Abstract
Objective:
Cervical cancer is the third most common malignancy in women worldwide. Accurate staging of the disease is crucial in planning the optimal treatment strategy. The aim of this study was to evaluate the role of magnetic resonance imaging (MRI) in the assessment of extension and staging of cervical malignancy in correlation with histopathologic examination.
Materials and Methods:
Thirty females with untreated pathologically proven uterine cervical carcinoma were included in this prospective study. The patients were 40 - 65 years of age and their average age was 45 years. All patients were subjected to routine clinical staging workup and underwent MRI for preoperative staging. Preoperative MRI findings were reviewed and compared with the final pathological staging that is the Gold Standard of reference.
Results:
Histopathologic examination established that of the 30 tumors, 22 (73.3%) were squamous cell carcinoma. According to the International Federation of Gynecology and Obstetrics (FIGO) staging criteria, 2/30 patients (6.6%) were stage IB, 12/30 (40.3%) were IIA, 8/30 were IIB (26.6%), and 8/30 (26.6%) were IVA. MRI had a sensitivity of 100% and specificity 85.7% in the detection of parametrial infiltration, and a sensitivity of 100% and specificity of 90% in the detection of vaginal infiltration. It was sensitive (100%) and specific (100%) in detecting tumor extension to the stroma, urinary bladder, and rectum. Pathological examination demonstrated stage IB cervical carcinoma in 2/30 patients (6.6%), stage IIA disease in 10/30 patients (33.3%), stage IIB in 6/30 patients (20%), and stage IV disease in 8/30 patients (26.6%). MRI features demonstrated stage IB in 2/30 patients (6.6%), stage IIA disease in 12/30 patients (40%), stage IIB in 8/30 patients (26.6%), and stage IV disease in 8/30 patients (26.6%). MRI staging of cervical carcinoma was in concordance with histopathologic staging in stages IB and IVA and over-staging in IIA and IIB stages.
Conclusion:
MRI is an optimal non-invasive modality for preoperative staging of uterine cervical malignancy, and crucial in subsequent more accurate treatment planning.
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