Mahale Nina, Kumar Neeti, Mahale Ajit, Ullal Sonali, Fernandes Merwyn, Prabhu Sonali
Departments of Obstetrics and Gynecology, Kasturba Medical College Mangalore Manipal Academy of Higher Education, Manipal, India.
Departments of Radiodiagnosis, Kasturba Medical College Mangalore Manipal Academy of Higher Education, Manipal, India.
Obstet Gynecol Sci. 2024 Mar;67(2):227-234. doi: 10.5468/ogs.23072. Epub 2024 Feb 20.
To assess the utility of ultrasound and color Doppler and the Accuracy of International Ovarian Tumor Analysis (IOTA) group classification in the preoperative evaluation of ovarian neoplasms to assess benign or malignant histopathology in the diagnosis of ovarian tumors.
This observational longitudinal prospective analysis of 60 patients was performed over a period of 2 years (2017- 2019). The mean age of the patients was 43.75 years. Ultrasonography of ovarian masses were evaluated, and cancer antigen-125 (CA-125) levels were evaluated. Based on the IOTA classification, the B and M features of adnexal masses were studied. Color Doppler imaging was performed to evaluate the patterns of vascularity and indices.
Sixty patients with 35 benign, 23 malignant, and two borderline lesions were included in the study. In malignant lesions, 17 women (73.9%) were above the age of 45. The CA-125 cut off was ≥35 internatioal units/mL. Based on the IOTA classification, 27/35 (77.1%) benign cases, were correctly identified as benign, 6/35 (17.1%) benign cases were incorrectly identified as malignant, and two (5.7%) were found to be inconclusive. In the malignant group, 17 of the 23 patients were identified as having malignancy. Color Doppler showed three (18.8%) benign tumors had a pulsatality index (PI) of <0.8 and 21 malignant tumors had a PI of <0.8. Four benign tumors had an resistive index (RI) of <0.6 and 100% of malignant tumors had an RI <0.6.
The IOTA classification is a reliable scoring system for adnexal masses, and color Doppler can help to minimize interobserver variation.
评估超声和彩色多普勒的效用以及国际卵巢肿瘤分析(IOTA)组分类在卵巢肿瘤术前评估中判断卵巢肿瘤组织病理学为良性或恶性的准确性。
在2年(2017 - 2019年)期间对60例患者进行了这项观察性纵向前瞻性分析。患者的平均年龄为43.75岁。对卵巢肿块进行超声检查,并评估癌抗原125(CA - 125)水平。基于IOTA分类,研究附件肿块的B和M特征。进行彩色多普勒成像以评估血管模式和指数。
本研究纳入了60例患者,其中35例为良性病变,23例为恶性病变,2例为交界性病变。在恶性病变中,17名女性(73.9%)年龄超过45岁。CA - 125临界值为≥35国际单位/毫升。基于IOTA分类,35例良性病例中有27例(77.1%)被正确鉴定为良性,35例良性病例中有6例(17.1%)被错误鉴定为恶性,2例(5.7%)结果不明确。在恶性组中,23例患者中有17例被鉴定为患有恶性肿瘤。彩色多普勒显示3例(18.8%)良性肿瘤的搏动指数(PI)<0.8,21例恶性肿瘤的PI<0.8。4例良性肿瘤的阻力指数(RI)<0.6,100%的恶性肿瘤RI<0.6。
IOTA分类是一种用于附件肿块的可靠评分系统,彩色多普勒有助于减少观察者间的差异。