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A prediction nomogram for suboptimal debulking surgery in patients with serous ovarian carcinoma based on MRI T1 dual-echo imaging and diffusion-weighted imaging.
- Source :
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Insights into Imaging . 12/27/2022, Vol. 13 Issue 1, p1-15. 15p. - Publication Year :
- 2022
-
Abstract
- 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. Key points: The MRI-based nomogram could predict the SDS occurrence in patients with SOC. The relationship between the sigmoid colon/rectum and ovarian mass accounts is critical. A preoperative nomogram provides gynecologists with an accurate and effective tool. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18694101
- Volume :
- 13
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Insights into Imaging
- Publication Type :
- Academic Journal
- Accession number :
- 161348727
- Full Text :
- https://doi.org/10.1186/s13244-022-01343-z