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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