Mri in preoperative prediction of the risk of lymph node metastasis in patients with endometrial cancer of the first clinical stage

M. O. Ochirov, N. G. Trukhacheva, L. A. Kolomiets, I. G. Frolova, V. I. Chernov, A. L. Chernyshova, A. B. Villert, S. V. Molchanov, O. N. Churuksaeva, L. V. Spirina

Результат исследований: Материалы для журналаСтатьярецензирование

Аннотация

Purpose: To develop a model for predicting the possibility of lymph node metastasis risk in patients with endometrial cancer at the first clinical stage using methods of radiology. Materials and methods: The study included 188 patients with endometrial cancer. In 72% of patients (n = 100), First clinical stage of endometrial cancer was detected, in 60 of them, operative treatment was performed in the volume of total hysterectomy with bilateral salpingoovariectomy, pelvic lymphadenectomy. Results: According to the recommended prognosis model proposed by consensus (ESMO, ESMOP, ESTRO 2015), low risk of lymphogenic metastases was revealed in 46% (n=28) patients, intermediate risk - 44% (n=26), high risk in 6 patients (10%). The specific weight of lymphogenic metastases was 10% (n=6), including patients with low (n=2) and intermediate (n=4) risk of lymphogenic metastasis. Conclusion: The developed mathematical model of prognosis predicting the risk of lymphogenic metastasis in patients with endometrial cancer of the 1st clinical stage, including the degree of tumor differentiation, the depth of invasion, as well as additional parameters: tumor volume, thickness of the uterus wall and transition zone, the presence of lymphadenopathy allows to objectify the need for lymphadenectomy in patients with low and intermediate risk. The sensitivity and specificity of the mathematical model obtained were 93.7% and 62.5%, respectively.

Язык оригиналаАнглийский
Страницы (с-по)190-204
Число страниц15
ЖурналRussian Electronic Journal of Radiology
Том8
Номер выпуска3
DOI
СостояниеОпубликовано - 2018

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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