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International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2018

Positive DESKTOP and Tian Scores Systems Are Adequate to Predict Optimal (R0) Secondary Debulking Surgery in Ovarian Cancer, But a Negative Score Does Not Preclude Secondary Surgery.

СтатьяВалидационное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Laga Tina, Lambrechts Sandrina, Laenen Annouschka, Van Nieuwenhuysen Els, Han Sileny N, Vergote Ignace

Аннотация

OBJECTIVE: The aim of this study was to assess the safety and feasibility of macroscopically complete (R0) secondary debulking surgery (SDS) in a single-center cohort of patients with recurrent ovarian cancer. The performances of existing prediction models (DESKTOP score, Tian model) for R0 SDS were evaluated in this cohort.

METHODS: Patient, disease, and treatment characteristics of 102 patients undergoing SDS for recurrent ovarian cancer at the University Hospitals Leuven between 1997 and 2014 were collected.

RESULTS: R0 SDS was achieved in 73% of patients and associated with improved progression-free survival (P = 0.0002) and overall survival (P = 0.0003) compared with non-R0 resection. Variables associated with R0 SDS were site of relapse (P = 0.046) and absence of ascites (P = 0.045). The DESKTOP score and Tian model showed positive predictive values for R0 SDS of 80% and 73%, respectively. However, a false-negative rate for R0 resection of 61% and 70% was observed in our study. Progression-free survival and overall survival did not significantly differ between DESKTOP score-positive and -negative patients with R0 SDS.

CONCLUSIONS: We confirmed a high positive predictive value in the selection of candidates for R0 SDS with the DESKTOP score and the Tian model. However, because 61% and 70% of the patients with a negative score were debulked to R0, we suggest that other selection criteria based on anatomic and metabolic imaging such as whole-body diffusion-weighted magnetic resonance imaging should be evaluated when selecting patients for SDS.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты