Adnexal Mass Risk Prediction Models

IOTA models - LR1 and LR2(1,2)

You can fill out only the first 6 variables or all 12

Age of the patient (years)
Presence of ascites
Presence of blood flow within a papillary projection
Largest diameter of the solid component (in mm)
Irregular internal cyst wall
Presence of acustic shadows
Personal history of ovarian cancer
Current hormonal therapy
Largest diameter of the lesion (in mm)
Presence of pain during the examination
Presence of a purely solid tumor
Color score
References:
1. Timmerman D, Van Calster B, Testa AC et al. Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group. Ultrasound Obstet Gynecol 2010; 36: 226-234.
2. Timmerman DV, L.; Bourne, T.H.; Collins, W.P.; Verrelst H.; Vergote, I. Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group. Ultrasond Obstet Gynecol 2000; 16: 500-505.
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