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Abstract
Highlights
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- We externally validated IOTA clinically oriented strategy to characterize adnexal masses in three hospitals.
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- 1165 ultrasound scans performed over more than two years by 36 level II ultrasonography examiners.
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- The three-step clinical oriented strategy performs as good as the main IOTA study and better than the conventional RMI.
Objectives
To
evaluate the diagnostic performance of the IOTA (International Ovarian
Tumor Analysis group) (clinically oriented three-step strategy for
preoperative characterization of ovarian masses when ultrasonography is
performed by examiners with different background training and
experience.
Methods
A 27-month
prospective multicenter cross-sectional study was performed. 36 level II
ultrasound examiners contributed in three UK hospitals. Transvaginal
ultrasonography was performed using a standardized approach. Step one
uses simple descriptors (SD), step two ultrasound simple rules (SR) and
step three subjective assessment of ultrasound images (SA) by examiners.
The final outcome was findings at surgery and the histological
diagnosis of surgically removed masses.
Results
1165
women with adnexal masses underwent transvaginal ultrasonography, 301
had surgery. Prevalence of malignancy was 31% (n = 92). SD were able to
classify 46% of the masses into benign or malignant (step one), with a
sensitivity of 93% and specificity of 97%. Applying SD followed by SR to
residual unclassified masses by SD enabled 89% of all masses (n = 268)
to be classified with a sensitivity 95% of and specificity of 95%. SA
was then used to evaluate the rest of the masses. Compared to the risk
of malignancy index (RMI), the sensitivity and specificity for the
three-step (SD + SR + SA) strategy were 93% (95% CI: 86–97%) and 92%
(95% CI: 87–95%) vs. 72% (95% CI: 62–80%) and 95% (95% CI: 91–97%) for
RMI, respectively.
Conclusion
The
IOTA three-step strategy shows good test performance on external
validation in the hands of ultrasonography examiners with different
background training and experience. This performance is considerably
better than the one based on RMI.
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