Timmerman et al developed 2 logistic regression models for evaluating a woman with an adnexal mass prior to surgery. The simplified model M2 has half the parameters of the more complex model M1. The authors are from multiple university hospitals in Europe representing the International Ovarian Tumor Analysis Group.
Parameters:
(1) age of the patient in years
(2) presence of ascites
(3) presence of blood flow within a papillary projection
(4) maximal diameter of solid component in mm
(5) irregular internal cyst walls
(6) presence of acoustic shadows
Parameter |
Finding |
Points |
age of the patient in years |
age in years |
<age> |
ascites |
no |
0 |
|
yes |
1 |
blood flow within a papillary projection |
no |
0 |
|
yes |
1 |
maximal diameter of the solid component in mm |
diameter <= 50 mm |
<diameter> |
|
diameter > 50 mm |
50 |
irregular internal cyst walls |
no |
0 |
|
yes |
1 |
presence of acoustic shadows |
no |
0 |
|
yes |
1 |
Y =
= (0.0354 * (points for age)) + (1.6159* (points for ascites)) + (1.1768 * (points for blood flow)) + (0.0697 * (points for maximum diameter of solid component)) + (0.9586 * (points for irregular internal cyst walls)) - (2.9486 * (points for acoustic shadows)) - 5.3718
probability of malignancy =
= 1 / (1 + EXP((-1) * Y))
Performance (Table 7, page 8800):
• The sensitivity is 90% and specificity is 71% at a cutoff of 10%.
• The area under the ROC curve is 0.916
Specialty: Hematology Oncology, Surgery, general, Obstetrics & Gynecology
ICD-10: ,