A prediction nomogram for suboptimal debulking surgery in patients with serous ovarian carcinoma based on MRI T1 dual-echo imaging and diffusion-weighted imaging

作者全名："Liu, Li; Wang, Jie; Wu, Yan; Chen, Qiao; Zhou, Linyi; Linghu, Hua; Li, Yongmei"

作者地址："[Liu, Li; Li, Yongmei] Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, 1 Youyi Rd, Chongqing 400016, Peoples R China; [Liu, Li] Peoples Hosp Yubei Dist Chongqing City, Dept Radiol, 23 ZhongyangGongyuanBei Rd, Chongqing 401120, Peoples R China; [Wang, Jie] Chongqing Med Univ, Affiliated Hosp 1, Dept Nucl Med, 1 Youyi Rd, Chongqing 400016, Peoples R China; [Wu, Yan] Chongqing Med Univ, Nursing Sch, 1 Med Coll Rd, Chongqing 400016, Peoples R China; [Chen, Qiao] Chongqing Med Univ, Sch Publ Hlth, 1 Med Coll Rd, Chongqing 400016, Peoples R China; [Zhou, Linyi] Army Med Univ, Daping Hosp, Army Med Ctr, Dept Radiol, 10 Changjiangzhilu, Chongqing 40024, Peoples R China; [Linghu, Hua] Chongqing Med Univ, Affiliated Hosp 1, Dept Obstet & Gynecol, 1 Youyi Rd, Yuanjiagang, Chongqing 400016, Peoples R China"

通信作者："Li, YM (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, 1 Youyi Rd, Chongqing 400016, Peoples R China."

来源：INSIGHTS INTO IMAGING

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000905063200002

JCR分区：Q1

影响因子：4.7

年份：2022

卷号：13

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Prediction nomogram; Suboptimal debulking surgery; Serous ovarian carcinoma; MR-T1 dual-echo imaging; External validation

摘要："Background: Serous ovarian carcinoma (SOC) has the highest morbidity and mortality among ovarian carcinoma. Accurate identification of the probability of suboptimal debulking surgery (SDS) is critical. This study aimed to develop a preoperative prediction nomogram of SDS for patients with SOC. Methods: A prediction model was established including 205 patients of SOC from institution A, and 45 patients from institution B were enrolled for external validation. Multivariate logistic regression was used to screen independent predictors and establish a nomogram to predict the occurrence of SDS. Results: Multivariate logistic regression demonstrated that the CA-125 level (odds ratio [OR] 8.260, 95% confidence interval [CI] 2.003-43.372), relationship between the sigmoid colon/rectum and ovarian mass (OR 28.701, 95% CI 4.561-286.070), diaphragmatic metastasis (OR 12.369, 95% CI 1.675-274.063), and FIGO stage (OR 32.990, 95% CI 6.623-274.509) were independent predictors for SDS. The area under the curve, concordance index, and 95% CI of the nomogram constructed from the above four factors were 0.951, 0.934, and 0.919-0.982, respectively. The model showed a good fit by the Hosmer-Lemeshow test (training set, p = 0.2475; internal validation set, p = 0.2355; external validation set, p = 0.2707). The external validation proved the reliability of the prediction nomogram. The calibration curve was close to the ideal diagonal line. The decision curve analysis demonstrated a significantly better net benefit. The clinical impact curve indicated good effectiveness in clinical application. Conclusion: A prediction nomogram for SDS in patients with SOC provides gynecologists with an accurate and effective tool for appropriate management."

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