Sonographic diagnosis of tubal cancer with IOTA simple rules plus pattern recognition

• المؤلفون الرئيسيون: Theera Tongsong, Chanane Wanapirak, Charuwan Tantipalakorn, Dangcheewan Tinnangwattana
• التنسيق: دورية
• منشور في: 2018
• الموضوعات: Biochemistry, Genetics and Molecular Biology; Agricultural and Biological Sciences; Arts and Humanities
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85035020151&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/43498
• المؤسسة: Chiang Mai University

Objective: To evaluate diagnostic performance of IOTA simple rules plus pattern recognition in predicting tubal cancer. Methods: Secondary analysis was performed on prospective database of our IOTA project. The patients recruited in the project were those who were scheduled for pelvic surgery due to adnexal masses. The patients underwent ultrasound examinations within 24 hours before surgery. On ultrasound examination, the masses were evaluated using the well-established IOTA simple rules plus pattern recognition (sausage-shaped appearance, incomplete septum, visible ipsilateral ovaries) to predict tubal cancer. The gold standard diagnosis was based on histological findings or operative findings. Results: A total of 482 patients, including 15 cases of tubal cancer, were evaluated by ultrasound preoperatively. The IOTA simple rules plus pattern recognition gave a sensitivity of 86.7% (13 in 15) and specificity of 97.4%. Sausage-shaped appearance was identified in nearly all cases (14 in 15). Incomplete septa and normal ovaries could be identified in 33.3% and 40%, respectively. Conclusion: IOTA simple rules plus pattern recognition is relatively effective in predicting tubal cancer. Thus, we propose the simple scheme in diagnosis of tubal cancer as follows. First of all, the adnexal masses are evaluated with IOTA simple rules. If the B-rules could be applied, tubal cancer is reliably excluded. If the M-rules could be applied or the result is inconclusive, careful delineation of the mass with pattern recognition should be performed.