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Pino I, Gozzini E, Radice D, Boveri S, Iacobone AD, Vidal Urbinati AM, Multinu F, Gullo G, Cucinella G, Franchi D. Advancing Tailored Treatments: A Predictive Nomogram, Based on Ultrasound and Laboratory Data, for Assessing Nodal Involvement in Endometrial Cancer Patients. J Clin Med 2024; 13:496. [PMID: 38256630 PMCID: PMC10816430 DOI: 10.3390/jcm13020496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/12/2024] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
Assessing lymph node metastasis is crucial in determining the optimal therapeutic approach for endometrial cancer (EC). Considering the impact of lymphadenectomy, there is an urgent need for a cost-effective and easily applicable method to evaluate the risk of lymph node metastasis in cases of sentinel lymph node (SLN) biopsy failure. This retrospective monocentric study enrolled EC patients, who underwent surgical staging with nodal assessment. Data concerning demographic, clinicopathological, ultrasound, and surgical characteristics were collected from medical records. Ultrasound examinations were conducted in accordance with the IETA statement. We identified 425 patients, and, after applying exclusion criteria, the analysis included 313 women. Parameters incorporated into the nomogram were selected via univariate and multivariable analyses, including platelet count, myometrial infiltration, minimal tumor-free margin, and CA 125. The nomogram exhibited good accuracy in predicting lymph node involvement, with an AUC of 0.88. Using a cutoff of 10% likelihood of nodal involvement, the nomogram displayed a low false-negative rate of 0.04 (95% CI 0.00-0.19) in the training set. The adaptability of this straightforward model renders it suitable for implementation across diverse clinical settings, aiding gynecological oncologists in preoperative patient evaluations and facilitating the design of personalized treatments. However, external validation is mandatory for confirming diagnostic accuracy.
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Affiliation(s)
- Ida Pino
- Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.D.I.); (A.M.V.U.); (D.F.)
| | - Elisa Gozzini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy;
| | - Davide Radice
- Division of Epidemiology and Biostatistics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy;
| | - Sara Boveri
- Laboratory of Biostatistics and Data Management, Scientific Directorate, IRCCS Policlinico San Donato, San Donato Milanese, 20097 Milan, Italy;
| | - Anna Daniela Iacobone
- Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.D.I.); (A.M.V.U.); (D.F.)
| | - Ailyn Mariela Vidal Urbinati
- Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.D.I.); (A.M.V.U.); (D.F.)
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy;
- Division of Epidemiology and Biostatistics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy;
- Laboratory of Biostatistics and Data Management, Scientific Directorate, IRCCS Policlinico San Donato, San Donato Milanese, 20097 Milan, Italy;
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Francesco Multinu
- Department of Gynecologic Surgery, IRCCS European Institute of Oncology, 20141 Milan, Italy;
| | - Giuseppe Gullo
- Department of Obstetrics and Gynecology, Villa Sofia Cervello Hospital, University of Palermo, 90146 Palermo, Italy; (G.G.); (G.C.)
| | - Gaspare Cucinella
- Department of Obstetrics and Gynecology, Villa Sofia Cervello Hospital, University of Palermo, 90146 Palermo, Italy; (G.G.); (G.C.)
| | - Dorella Franchi
- Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.D.I.); (A.M.V.U.); (D.F.)
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