The Ovarian Tumor Index can be used to estimate the risk of malignancy in small ovarian tumors.
Parameters:
(1) age of the patient
(2) ovarian volume
(3) morphology score from Sassone scale
(4) Doppler pulsatility index
(5) location of blood vessels
(6) intensity of echoes
Parameter |
Finding |
Points |
---|---|---|
patient age |
age in years |
age in years |
ovarian volume |
volume in mL |
volume in mL |
morphology scale of Sassone et al |
4 - 15 |
4 - 15 |
Doppler pulsatility index (PI) |
|
(-10 * (PI)) |
vessel location |
peripheral |
-10 |
|
central or septal |
+10 |
intense echoes |
absent |
0 |
|
present |
-10 |
where:
• The ovarian volume for tumors studied ranged from a few mL to about 70 mL (the volume data is only given as mean +/- SD). The volume of larger tumors would dominate the index. Some benign ovarian tumors can be quite large, so false positive diagnoses of tumor could be returned based on volume if not upper limit set.
• The volume of an ellipsoid = (x axis) * (y axis) * (z axis) * π / 6, where each axial measurement is the entire length along the axis (as opposed to the semiaxis).
• The morphology scale of Sassone et al (Table I) is reported as having values from 1 to 15, but minimum score is 4.
• Scoring of vessel location is a little unclear to me. Option 1 is that either one or the other value used (option implemented) while option 2 is that both could occur giving a value of 10 - 10 = 0.
ovarian tumor index =
= (points for age) + (points for volume in mL) + (points for morphology scale of Sassone et al) + (points for pulsatility index) + (points for vessel location) + (points for echoes)
Interpretation:
• The higher the index, the greater the risk for malignancy.
Ovarian Tumor Index |
Percent Malignant |
---|---|
19 |
2% |
28 |
4% |
34 |
6% |
39 |
8% |
42 |
10% |
45 |
12% |
47 |
14% |
50 |
16% |
52 |
19% |
53 |
20% |
55 |
22% |
57 |
25% |
58 |
26% |
59 |
27% |
61 |
30% |
62 |
32% |
63 |
33% |
65 |
37% |
66 |
38% |
67 |
40% |
68 |
42% |
69 |
44% |
70 |
45% |
71 |
47% |
73 |
51% |
74 |
53% |
75 |
54% |
76 |
56% |
77 |
58% |
78 |
60% |
79 |
61% |
81 |
65% |
82 |
66% |
83 |
68% |
84 |
69% |
86 |
72% |
87 |
74% |
89 |
77% |
90 |
78% |
92 |
80% |
94 |
82% |
96 |
84% |
98 |
86% |
100 |
88% |
103 |
90% |
107 |
92% |
111 |
94% |
When plotted out this data gives a cumulative distribution curve.
probability for scores less than or equal to 50 =
= (0.0001899 * ((index)^3)) - (0.007252 * ((index)^2)) + (0.23435 * (index)) - 1.11436
probability for scores 50 to 61 =
= (1.23529 * (index)) - 45.588
probability for scores 61 to 70 =
= (1.6958 * (index)) - 73.4708
probability for scores 70 to 81 =
= (1.79348* (index)) - 80.228
probability for scores 81 to 90 =
= (1.49338 * (index)) - 56.185
probability for scores greater than or equal to 90 =
= (-0.000275 * ((index)^3)) + (0.0630469 * ((index)^2)) - (3.5418 * (index)) + 86.559
Specialty: Hematology Oncology, Surgery, general, Obstetrics & Gynecology
ICD-10: ,