Department of Ultrasound Diagnosis, Second Xiangya Hospital, Central South University, Changsha 410011.
Health Management Center, Second Xiangya Hospital, Central South University, Changsha 410011.
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2022 Aug 28;47(8):1082-1088. doi: 10.11817/j.issn.1672-7347.2022.220051.
International Ovarian Tumor Analysis (IOTA) working group proposed a logistic regression (IOTA LR2) model. It is served as a risk prediction model for benign and malignant adnexal tumors. This study aims to compare the diagnostic efficiency between the IOTA LR2 model and doctors' subjective assessment on diagnosing benign and malignant adnexal mass.
The ultrasonographic images of 616 adnexal masses were retrospectively analyzed by the senior doctors' group and the junior doctors' group using the IOTA LR2 model and subjective assessment. The postoperative pathological diagnosis was used as the gold standard to compare the diagnostic efficiency of the 2 methods.
The area under the curves of subjective assessment and IOTA LR2 model for diagnosing malignant adnexal masses were 0.86 and 0.90 for the senior doctors' group and 0.79 and 0.88 for the junior doctors' group, respectively. The sensitivity and specificity of subjective assessment for diagnosing the malignant adnexal masses were 81.0% and 91.3% for the senior doctors' group and 70.1% and 88.7% for the junior doctors' group, respectively. The sensitivity and specificity of the IOTA LR2 model for diagnosing the malignant adnexal masses were 79.6% and 88.1% for the senior doctors' group, and 79.6% and 81.7% for the junior doctors' group, respectively.There were no significant difference in the sensitivities between the senior doctors' group and junior doctors' group using the IOTA LR2 model and the senior doctors' group using subjective assessment (both >0.05).
The diagnostic efficiency of the IOTA LR2 model is equal to the senior doctors' experiences. This model can help junior doctors to reduce the missed diagnosis of malignant adnexal masses.
国际卵巢肿瘤分析(IOTA)工作组提出了一个逻辑回归(IOTA LR2)模型。它是用于预测良性和恶性附件肿瘤风险的模型。本研究旨在比较 IOTA LR2 模型和医生主观评估对诊断附件肿块良恶性的诊断效率。
回顾性分析了由高级医生组和初级医生组使用 IOTA LR2 模型和主观评估对 616 个附件肿块的超声图像。以术后病理诊断为金标准,比较两种方法的诊断效率。
高级医生组和初级医生组的主观评估和 IOTA LR2 模型诊断恶性附件肿块的曲线下面积分别为 0.86 和 0.90,0.79 和 0.88。高级医生组主观评估诊断恶性附件肿块的敏感性和特异性分别为 81.0%和 91.3%,初级医生组分别为 70.1%和 88.7%。高级医生组和初级医生组 IOTA LR2 模型诊断恶性附件肿块的敏感性和特异性分别为 79.6%和 88.1%,79.6%和 81.7%。高级医生组使用 IOTA LR2 模型和主观评估的敏感性无显著差异(均>0.05)。
IOTA LR2 模型的诊断效率与高级医生的经验相当。该模型可以帮助初级医生减少恶性附件肿块的漏诊。