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abstract
Objective: To examine the performance of the Risk of
Malignancy Index (RMI) and Risk of Ovarian Malignancy Algorithm (ROMA)
by histologic subtype and stage of disease in a cohort of women with
ovarian cancer.
Methods: All patients with confirmed ovarian cancer at
the Princess Margaret Hospital between February 2011 and January 2013
were eligible for study inclusion. Preoperative cancer antigen 125,
human epididymis protein 4, and ultrasound findings were reviewed, and
the sensitivity and false-negative rates of the RMI and ROMA were
determined by stage of disease and tumor histology.
Results: A total of 131 patients with ovarian cancer
were identified. High-grade serous (HGS) histology was most frequently
associated with stage III/IV disease (n = 46 [72% of stage III/IV]) vs
stage I (n = 5 [11% of stage I]; P < 0.0001). Clear cell
(CC) and endometrioid (EC) histology presented most commonly with stage I
disease (n = 9 [20%] and n = 13 [29% of stage I cases], respectively).
Median cancer antigen 125 and human epididymis protein 4 values were
significantly higher for HGS than for EC or CC histology. Risk of
Malignancy Index II demonstrated the highest sensitivity of the 3 RMI
algorithms. All RMIs and ROMA were significantly more sensitive in
predicting malignancy in patients with HGS than EC or CC histology. Risk
of Malignancy Index II (n = 38) and ROMA (n = 35) exhibited
sensitivities of 68% and 54% and false-negative rates of 32% and 46%,
respectively, for patients with stage I disease vs sensitivities of 94%
and 93% and false-negative rates of 6% and 7% for patients with stage
III/IV disease.
Conclusion: Both RMI and ROMA performed well for the
detection of advanced ovarian cancer and HGS histology. These triaging
algorithms do not perform well in patients with stage I disease where EC
and CC histologies predominate. Clinicians should be cautious using RMI
or ROMA scoring tools to triage isolated adnexal masses because many
patients with stage I malignancies would be missed.
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