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Is it safe to operate selected low-risk endometrial cancer patients in secondary hospitals?
Narva, Sara; Polo-Kantola, Päivi; Oksa, Sinikka; Kallio, Johanna; Huvila, Jutta; Rissanen, Tiia; Hynninen, Johanna; Hietanen, Sakari; Joutsiniemi, Titta.
Afiliação
  • Narva S; Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland; TYKS Cancer Centre, FICAN West, Organization of EU Cancer Institutes, Finland. Electronic address: sara.narva@tyks.fi.
  • Polo-Kantola P; Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland.
  • Oksa S; Department of Obstetrics and Gynecology, Satasairaala Hospital, Pori, Finland.
  • Kallio J; Department of Radiology, Turku University Hospital and University of Turku, Turku, Finland; TYKS Cancer Centre, FICAN West, Organization of EU Cancer Institutes, Finland.
  • Huvila J; Department of Pathology, Turku University Hospital and University of Turku, Turku, Finland; TYKS Cancer Centre, FICAN West, Organization of EU Cancer Institutes, Finland.
  • Rissanen T; Department of Biostatistics, Turku University Hospital and University of Turku, Turku, Finland.
  • Hynninen J; Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland; TYKS Cancer Centre, FICAN West, Organization of EU Cancer Institutes, Finland.
  • Hietanen S; Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland; TYKS Cancer Centre, FICAN West, Organization of EU Cancer Institutes, Finland.
  • Joutsiniemi T; Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland; TYKS Cancer Centre, FICAN West, Organization of EU Cancer Institutes, Finland.
Eur J Surg Oncol ; 50(6): 108317, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38581756
ABSTRACT

INTRODUCTION:

The aim of this study was to assess the accuracy of a preoperative screening algorithm in identifying low-risk endometrial cancer (EC) patients to ensure optimal care.

METHODS:

A total of 277 patients with primary EC confirmed through biopsy underwent magnetic resonance imaging (MRI). Patients with risk factors for advanced high-risk EC, such as non-endometrioid histology, high-grade differentiation status, deep myometrial invasion, or spread beyond the uterine corpus, were systematically excluded. The remaining preoperatively screened patients with stage IA low-grade endometrioid EC (EEC) (n = 93) underwent surgery in a tertiary hospital. The accuracy of the preoperative diagnosis was evaluated by comparing the findings with the postoperative histopathological results. Disease-free survival (DFS) and overall survival (OS) were analyzed using 8-year follow-up data.

RESULTS:

Postoperative histopathological analysis revealed that all patients had grade 1-2 EEC localized to the corpus uteri. Only three patients had deep myometrial invasion (stage IB), but they remained disease-free after 6-9 years of follow-up. The median follow-up time for all patients was 8.7 years. The DFS was 7.6 years, and the OS was 8.6 years. Two patients with stage IA grade 1 EEC experienced relapse and, despite treatment, died of EC. No other EC-related deaths occurred.

CONCLUSIONS:

The screening algorithm accurately identified low-risk EC patients without compromising survival. Therefore, the algorithm appears to be feasible for selecting patients for surgery in secondary hospitals.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Imageamento por Ressonância Magnética / Neoplasias do Endométrio Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Imageamento por Ressonância Magnética / Neoplasias do Endométrio Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article