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- Title
Predictive ability of maximal tumor diameter on MRI for high-risk endometrial cancer.
- Authors
Bourgioti, Charis; Chatoupis, Konstantinos; Antoniou, Aristeidis; Moulopoulos, Lia; Tzavara, Chara; Rodolakis, Alexandros
- Abstract
Aim: To investigate the predictive ability of tumor size for deep myometrial invasion (≥50%) and metastatic lymphadenopathy, on maximal tumor diameter (MRI) of endometrial cancer. Materials and methods: Our study population consisted of 105 patients (mean age: 59.8 years) with histologically confirmed endometrial cancer. All patients underwent preoperative pelvic MRI. Tumor maximal diameter (size) was calculated on multiple sequences, and the largest value was recorded. Logistic regression analysis was performed to investigate the association of maximal tumor diameter (MRI) with the depth of myometrial invasion and the presence of pelvic nodal metastases (histology); optimal tumor size cut-off for the prediction of deep myometrial involvement and nodal metastases was calculated using ROC analysis. Surgicopathological specimen examination was the standard of reference. Results: Tumor size on MRI, independently predicted deep myometrial invasion. Optimal maximal tumor diameter cut-off for the prediction of deep myometrial invasion was 2 cm (SE 90%, SP 50.9%). When tumor size was used as a categorical variable in the multiple logistic regression model, tumor size >2 cm had 10.04 times greater odds of deep myometrial invasion (95% CI 3.34-30.17, p < 0.001). Optimal tumor size cut-off for prediction of nodal metastases was 4 cm (SE 60%, SP 76.9%). Multiple logistic regression analysis with nodal metastases as a dependent variable showed that tumor size >4 cm had 4.79 times greater odds for malignant dissemination to the lymph nodes (95% CI 1.00-23.09, p = 0.047). Conclusion: Maximal tumor diameter on preoperative MRI may be yet another prognosticator for deep myometrial invasion and metastatic lymphadenopathy in patients with endometrial carcinoma.
- Subjects
ENDOMETRIAL cancer; DIAGNOSIS of endometrial cancer; MYOMETRIUM tumors; LYMPH nodes; LYMPHADENITIS; TUMORS; LOGISTIC regression analysis; MAGNETIC resonance imaging
- Publication
Abdominal Radiology, 2016, Vol 41, Issue 12, p2484
- ISSN
2366-004X
- Publication type
Article
- DOI
10.1007/s00261-016-0927-0