Unknown

Dataset Information

0

Diagnostic Accuracy of the Risk of Ovarian Malignancy Algorithm in Clinical Practice at a Single Hospital in Korea.


ABSTRACT: BACKGROUND:The risk of ovarian malignancy algorithm (ROMA) is used for assessing ovarian cancer risk in women with a pelvic mass. Its diagnostic accuracy is variable. We investigated whether the clinically acceptable minimal sensitivity of >80.0% could be obtained with the suggested cutoff of 7.4%/25.3% for pre/postmenopausal women and with adjusted cutoffs set to a specificity of ≥75.0% or a sensitivity of 95.0%, in a hospital with a lower ovarian cancer (OC) prevalence than previously reported. METHODS:ROMA scores were calculated from measurements of human epididymis protein 4 and cancer antigen 125 in blood specimens from 443 patients with a pelvic mass. The ROMA-based risk group was compared against biopsy (N=309) or clinical follow-up with imaging (N=134) results. The ROMA sensitivity and specificity for predicting epithelial OC (EOC) and borderline ovarian tumor (BOT) were calculated for the suggested and adjusted cutoff values. RESULTS:When targeting BOT and EOC, the prevalence was 7.4% and sensitivity and specificity at the suggested cutoff were 63.6% and 90.7%, respectively. Sensitivity was 81.8% at the 4.65%/13.71% cutoff set to a specificity of 75.0%. When targeting only EOC, the prevalence was 4.1% and sensitivity and specificity at the suggested cutoff were 77.8% and 89.4%, respectively. Sensitivity was 88.9% at the 4.78%/14.35% cutoff set to a specificity of 75.0%. CONCLUSIONS:The sensitivity of ROMA was lower than expected when using the suggested cutoff. When using the adjusted cutoff, its sensitivity reached 80.0%.

SUBMITTER: Park H 

PROVIDER: S-EPMC6340842 | biostudies-other | 2019 May

REPOSITORIES: biostudies-other

altmetric image

Publications

Diagnostic Accuracy of the Risk of Ovarian Malignancy Algorithm in Clinical Practice at a Single Hospital in Korea.

Park Haeil H   Shin Jae Eun JE   Lee Dae Woo DW   Kim Min Jeong MJ   Lee Hae Nam HN  

Annals of laboratory medicine 20190501 3


<h4>Background</h4>The risk of ovarian malignancy algorithm (ROMA) is used for assessing ovarian cancer risk in women with a pelvic mass. Its diagnostic accuracy is variable. We investigated whether the clinically acceptable minimal sensitivity of >80.0% could be obtained with the suggested cutoff of 7.4%/25.3% for pre/postmenopausal women and with adjusted cutoffs set to a specificity of ≥75.0% or a sensitivity of 95.0%, in a hospital with a lower ovarian cancer (OC) prevalence than previously  ...[more]

Similar Datasets

| S-EPMC3594110 | biostudies-literature
| S-EPMC3048204 | biostudies-literature
| S-EPMC3443004 | biostudies-literature
| S-EPMC8589770 | biostudies-literature
| S-EPMC4429284 | biostudies-other
| S-EPMC6614909 | biostudies-literature
| S-EPMC7235757 | biostudies-literature
| S-EPMC6545496 | biostudies-literature
| S-EPMC5556625 | biostudies-other
| S-EPMC6747741 | biostudies-literature