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Validation of ultrasound strategies to assess tumor extension and to predict high-risk endometrial cancer in women from the prospective IETA (International Endometrial Tumour Analysis) 4 cohort

Authors :
Verbakel, J
Mascilini, F
Wynants, L
Fischerova, D
Testa, A
Franchi, D
Frühauf, F
Cibula, D
Lindqvist, P
Fruscio, R
Haak, L
Opolskiene, G
Alcazar, J
Mais, V
Carlson, J
W
Sladkevicius, P
Timmerman, D
Valentin, L
Van den Bosch, T
Epstein, E
Verbakel, JY
Testa, AC
Lindqvist, PG
Haak, LA
Alcazar, JL
Carlson Joseph
Verbakel, J
Mascilini, F
Wynants, L
Fischerova, D
Testa, A
Franchi, D
Frühauf, F
Cibula, D
Lindqvist, P
Fruscio, R
Haak, L
Opolskiene, G
Alcazar, J
Mais, V
Carlson, J
W
Sladkevicius, P
Timmerman, D
Valentin, L
Van den Bosch, T
Epstein, E
Verbakel, JY
Testa, AC
Lindqvist, PG
Haak, LA
Alcazar, JL
Carlson Joseph
Publication Year :
2020

Abstract

Objectives: To compare the performance of ultrasound measurements and subjective ultrasound assessment (SA) in detecting deep myometrial invasion (MI) and cervical stromal invasion (CSI) in women with endometrial cancer, overall and according to whether they had low- or high-grade disease separately, and to validate published measurement cut-offs and prediction models to identify MI, CSI and high-risk disease (Grade-3 endometrioid or non-endometrioid cancer and/or deep MI and/or CSI). Methods: The study comprised 1538 patients with endometrial cancer from the International Endometrial Tumor Analysis (IETA)-4 prospective multicenter study, who underwent standardized expert transvaginal ultrasound examination. SA and ultrasound measurements were used to predict deep MI and CSI. We assessed the diagnostic accuracy of the tumor/uterine anteroposterior (AP) diameter ratio for detecting deep MI and that of the distance from the lower margin of the tumor to the outer cervical os (Dist-OCO) for detecting CSI. We also validated two two-step strategies for the prediction of high-risk cancer; in the first step, biopsy-confirmed Grade-3 endometrioid or mucinous or non-endometrioid cancers were classified as high-risk cancer, while the second step encompassed the application of a mathematical model to classify the remaining tumors. The ‘subjective prediction model’ included biopsy grade (Grade 1 vs Grade 2) and subjective assessment of deep MI or CSI (presence or absence) as variables, while the ‘objective prediction model’ included biopsy grade (Grade 1 vs Grade 2) and minimal tumor-free margin. The predictive performance of the two two-step strategies was compared with that of simply classifying patients as high risk if either deep MI or CSI was suspected based on SA or if biopsy showed Grade-3 endometrioid or mucinous or non-endometrioid histotype (i.e. combining SA with biopsy grade). Histological assessment from hysterectomy was considered the reference standard. Results: I

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1308929286
Document Type :
Electronic Resource