Abstract
STUDY OBJECTIVE: a) To evaluate visual pattern parameters obtained with hysteroscopy for the prediction of endometrial cancer b) To evaluate observer variation of these parameters c) To present a scoring system of the parameters for the prediction of malignancy and compare to subjective evaluation.
DESIGN: Prospective controlled study DESIGN: Classification: Canadian task force II-1 SETTING: University Clinic PATIENTS: 149 consecutive women with postmenopausal bleeding and an endometrium thickness ≥ 5 mm. 61 (41%) had endometrial cancer. 46 of 149 women were referred based on suspect malignancy.
INTERVENTION: _Endometrial pattern characteristics for endometrial cancer were evaluated in hysteroscopic video clips. The reference standard was pathologic evaluation of resectoscopic samples or hysterectomy. Using multivariate logistic regression, image parameters were correlated with the presence of endometrial cancer. A scoring system of visual parameters for prediction of malignancy was compared to subjective evaluation of malignancy.
MEASUREMENTS AND MAIN RESULTS: A score for lesion surface, necrosis and vessels had an (AUC) of 0.89, 0.89, and 0.87, respectively. A Hysteroscopic Cancer (HYCA) scoring system based on unsmooth lesion surface, papillary projections, surface necrosis, "candy floss" necrosis, white hyperintense spots, irregular branching vessels, and irregular distribution of irregular vessels was able to predict cancer (AUC 0.964) with higher accuracy than subjective evaluation AUC 0.859 (p < 0.01). At a score value ≥ 3, sensitivity was 89%, specificity 92% with moderate agreement between observers (kappa: 0.56 (0.42-0.71)).
CONCLUSIONS: Systematic pattern evaluation of optimal parameters by a HYCA-scoring system based on systematically defined terms may increase accuracy in the diagnosis of endometrial cancer and should be further elaborated and external validity tested in unselected women with postmenopausal bleeding.
Original language | English |
---|---|
Journal | Journal of minimally invasive gynecology |
Volume | 22 |
Issue number | 7 |
Pages (from-to) | 1215-1224 |
Number of pages | 9 |
ISSN | 1553-4650 |
DOIs | |
Publication status | Published - 2015 |