Several discussions support the article's emphasis on the diagnostic value of HE4 and CA125, with comments describing how these biomarkers improve early detection. The tone is analytical and focused on clinical applications, with phrases like 'high accuracy' and 'important advances,' demonstrating strong interest and meaningful engagement with the review's insights.
AgreementModerate agreement
Most discussions recognize the usefulness of biomarkers like CA125 and HE4, showing general support for the review's findings.
InterestHigh interest
Participants are highly interested, frequently referencing the diagnostic implications and advanced algorithms for ovarian cancer detection.
EngagementModerate engagement
Many posts delve into specific details of the biomarkers and algorithms, indicating thoughtful participation.
ImpactModerate impact
The discussions reflect an awareness of the clinical significance, though some view it as incremental rather than revolutionary.
Abstract in brief
Ovarian cancer is highly deadly and often diagnosed late, with over 70% of cases identified at advanced stages.
The biomarkers CA125 and HE4 are key in diagnosis, with HE4 being more specific and less affected by benign conditions like endometriosis, and their combination showing high accuracy (AUC up to 0.96).
Algorithms like RMI and ROMA use these markers to improve diagnosis, but while RMI has high specificity, its overall performance is limited; ROMA's specificity is slightly lower than HE4's.
Bibliography:
Dochez, V., Caillon, H., Vaucel, E., Dimet, J., Winer, N., Ducarme, G. (2019) Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. Journal of Ovarian Research 12.. doi:10.1186/s13048-019-0503-7
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Bibliography:
Dochez, V., Caillon, H., Vaucel, E., Dimet, J., Winer, N., Ducarme, G. (2019) Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. Journal of Ovarian Research 12.. doi:10.1186/s13048-019-0503-7
Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. V Dochez, H Caillon, E Vaucel, J Dimet, N Winer, G Ducarme.
New Progress of CA125 Surveillance in Diagnosis and Treatment of ...
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and Ducarme, G. (2019) Biomarkers and Algorithms for Diagnosis of Ovarian Cancer: CA125, HE4, RMI and ROMA, a Review. Journal of Ovarian Research, 12, Article ...
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Conclusion: Serum levels of miR-1 and miR-21 might serve as promising biomarkers in the diagnosis of ovarian cancer. ... tumor marker CA125 was clearly superior ...
Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. ... HE4 as a biomarker for ovarian and endometrial cancer ...
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Dochez V, Caillon H, Vaucel E, Dimet J, Winer N, Ducarme G. Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. J ...
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Dochez V, Caillon H, Vaucel E, et al. Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. J Ovarian Res. 2019; 12(1): ...
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Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. Source: Journal of Ovarian Research. Ovarian Cancer Biomarkers: ...
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Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. J Ovarian Res. 2019;12(1):28. doi:10.1186/s13048-019-0503-7 ...
Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and. ROMA, a review. Journal of ovarian research, 12(1), 28. https://doi.org ...
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Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. Journal of ovarian research 12 (2019): 1-9. Bandiera E, Romani C, ...
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Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review . J Ovarian Res. 2019. ;. 12. : 28 . Google Scholar · Crossref.
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Methods: We analyzed the targeted biomarkers in a cohort of 104 OC patients and 100 controls, which comprised 50 patients with benign ovarian tumors and 50 ...
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