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For: Coada CA, Dondi G, Ravegnini G, De Leo A, Santini D, De Crescenzo E, Tesei M, Bovicelli A, Giunchi S, Dormi A, Di Stanislao M, Morganti AG, De Biase D, De Iaco P, Perrone AM. Classification Systems of Endometrial Cancer: A Comparative Study about Old and New. Diagnostics (Basel) 2021;12:33. [PMID: 35054199 PMCID: PMC8774791 DOI: 10.3390/diagnostics12010033] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/20/2021] [Accepted: 12/22/2021] [Indexed: 02/05/2023]  Open
Number Cited by Other Article(s)
1
Anca-Stanciu MB, Manu A, Olinca MV, Coroleucă C, Comandașu DE, Coroleuca CA, Maier C, Bratila E. Comprehensive Review of Endometrial Cancer: New Molecular and FIGO Classification and Recent Treatment Changes. J Clin Med 2025;14:1385. [PMID: 40004914 PMCID: PMC11856752 DOI: 10.3390/jcm14041385] [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: 12/20/2024] [Revised: 01/21/2025] [Accepted: 02/13/2025] [Indexed: 02/27/2025]  Open
2
Luzarraga Aznar A, Bebia V, Gomez-Hidalgo NR, López-Gil C, Miguez M, Colas E, Pérez-Benavente A, Gil-Moreno A, Cabrera S. Molecular profile in endometrial carcinoma: can we predict the lymph node status? A systematic review and meta-analysis. Clin Transl Oncol 2024;26:1768-1778. [PMID: 38578538 DOI: 10.1007/s12094-024-03401-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 01/30/2024] [Indexed: 04/06/2024]
3
Coada CA, Santoro M, Zybin V, Di Stanislao M, Paolani G, Modolon C, Di Costanzo S, Genovesi L, Tesei M, De Leo A, Ravegnini G, De Biase D, Morganti AG, Lovato L, De Iaco P, Strigari L, Perrone AM. A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study. Cancers (Basel) 2023;15:4534. [PMID: 37760503 PMCID: PMC10526953 DOI: 10.3390/cancers15184534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/23/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023]  Open
4
Restaino S, Paglietti C, Arcieri M, Biasioli A, Della Martina M, Mariuzzi L, Andreetta C, Titone F, Bogani G, Raimondo D, Perelli F, Buda A, Petrillo M, Greco P, Ercoli A, Fanfani F, Scambia G, Driul L, Vizzielli G, The Udine Hospital Gynecological-Oncological Tumor Board Group. Management of Patients Diagnosed with Endometrial Cancer: Comparison of Guidelines. Cancers (Basel) 2023;15:1091. [PMID: 36831434 PMCID: PMC9954548 DOI: 10.3390/cancers15041091] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023]  Open
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