OP03.05: Comparison of the diagnostic value of risk of malignancy index RMI-I with logistic regression model 1 in the preoperative assessment of adnexal masses

2015 ◽  
Vol 46 ◽  
pp. 60-60
Author(s):  
N. Abdalla ◽  
A. Harasim-Dylak ◽  
W. Sawicki ◽  
K. Cendrowski ◽  
A. Timorek-Lemieszczuk
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Preoperative Assessment ◽  
Diagnostic Value ◽  
Adnexal Masses ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

Evaluation of Adnexal Masses-Correlation of Clinical, Sonological and Histological Findings in Adnexal Masses

2020 ◽  
Vol 22 (4) ◽  
pp. 199-202
Author(s):  
Manisha Acharya ◽  
P Kumar ◽  
BB Shrestha ◽  
S Shrestha ◽  
R Amatya ◽  
...  
Keyword(s):  
Predictive Value ◽  
Adnexal Mass ◽  
Diagnostic Value ◽  
Mean Value ◽  
Ca 125 ◽  
Histopathological Diagnosis ◽  
Adnexal Masses ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Clinical Records

Adnexal mass is a common clinical finding in gynaecological practice. The study aims to find out the diagnostic value of clinical examination, ultrasonography and Ca-125 and its correlation, using Risk of Malignancy Index with histopathological diagnosis in adnexal masses. Clinical records were retrieved of women who had surgical management for adnexal mass in the last 2 years duration. Based on the data, Risk of Malignancy Index values were calculated. It was then compared with histopathological diagnosis. Out of 66 patients, 56 patients had benign tumor and 10 patients had malignancy. The Risk of Malignancy Index values of each patient was calculated which ranged from 8 to 2205 with mean value of 425.52 (SD±41.8). Risk of Malignancy Index sensitivity was 70%, specificity was 96.42%, positive predictive value was 77.78%, and negative predictive value was 95.83%. Risk of Malignancy Index is a reliable diagnostic tool in differentiating benign from malignant adnexal masses.

Logistic regression model to predict malignancy in adnexal masses experience using Doppler energy

2003 ◽  
Vol 29 (5) ◽  
pp. S25-S26
Author(s):  
H. Marret ◽  
B. Giraudeau ◽  
F. Golfier ◽  
R. Ecochard ◽  
D. Raudrant ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Adnexal Masses
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