scholarly journals Adnexal masses difficult to classify as benign or malignant using subjective assessment of gray-scale and Doppler ultrasound findings: logistic regression models do not help

2011 ◽  
Vol 38 (4) ◽  
pp. 456-465 ◽  
Author(s):  
L. Valentin ◽  
L. Ameye ◽  
L. Savelli ◽  
R. Fruscio ◽  
F. P. G. Leone ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Doppler Ultrasound ◽  
Regression Models ◽  
Subjective Assessment ◽  
Gray Scale ◽  
Adnexal Masses ◽  
Logistic Regression Models ◽  
Ultrasound Findings

OC144: Prospective evaluation of logistic regression models to predict malignancy of adnexal masses prior to surgery

2008 ◽  
Vol 32 (3) ◽  
pp. 289-290 ◽  
Author(s):  
B. Van Calster ◽  
C. Van Holsbeke ◽  
R. Fruscio ◽  
S. Guerriero ◽  
A. Czekierdowski ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Prospective Evaluation ◽  
Adnexal Masses ◽  
Logistic Regression Models

scholarly journals Predicting Malignancy in Entirely Solid-appearing Adnexal Masses on Gray-Scale Ultrasound Based on Additional Ultrasound Findings, Clinical Complaints and Biochemical Parameters: A Retrospective Study

2013 ◽  
Vol 7 (1) ◽  
pp. 80-85
Author(s):  
Juan Luis Alcázar ◽  
Laura Pineda ◽  
Jesús Utrilla-Layna
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Retrospective Study ◽  
Logistic Regression Analysis ◽  
Biochemical Parameters ◽  
Malignant Tumors ◽  
Ca 125 ◽  
Gray Scale ◽  
Adnexal Masses ◽  
Ultrasound Findings

ABSTRACT Purpose To determine which clinical, biochemical and other sonographic parameters could be useful to predict malignancy in sonographically solid adnexal masses. Materials and methods Clinical, biochemical and other sonographic features from 227 women diagnosed as having an entirely solid adnexal mass on B-mode gray-scale ultrasound were reviewed for this retrospective study. All patients had undergone surgery and mass removal. Definitive histologic diagnosis was available in all cases. All parameters were compared to final histological diagnosis (benign or malignant) in univariate statistical analysis. Then a stepwise forward logistic regression analysis was performed to identify those features that independently predict malignancy. Results A total of 227 masses were analyzed. Patients’ mean age was 52.9 years (range: 15-84 years). A total of 150 masses were malignant and 77 were benign. In 52 cases carcinomatosis was observed on ultrasound scan and all theses cases were malignant. In the remaining 175 cases, univariate analysis showed statistical differences between benign and malignant tumors all parameters except tumor's volume. After logistic regression analysis tumor contour, acoustic shadowing, amount of color and CA 125 were identified as independent predictors of malignancy. Using a logistic model 94.4% of malignant tumors and 85.7% of benign tumors would be correctly identified. Conclusion The presence of carcinomatosis is invariably associated to malignancy. In absence of carcinomatosis, irregular tumor contour, absence of acoustic shadowing, moderate or abundant blood flow and a high CA 125 are associated to malignancy. How to cite this article Utrilla-Layna J, Olartecoechea B, Aubá M, Ruiz-Zambrana A, Pineda L, Alcázar JL. Predicting Malignancy in Entirely Solid-appearing Adnexal Masses on Gray-Scale Ultrasound Based on Additional Ultrasound Findings, Clinical Complaints and Biochemical Parameters: A Retrospective Study. Donald School J Ultrasound Obstet Gynecol 2013;7(1):80-85.

Sign in / Sign up

Export Citation Format

Share Document