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J Ovarian Res March 2019 PMID 30917847

Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review.

Vincent Dochez, Hélène Caillon, Edouard Vaucel, Jérôme Dimet, Norbert Winer, Guillaume Ducarme

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Peak: 5 in May 2024
across 3 sources since May 2020

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AI synopsis

What people are saying

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.
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Noe Mati
@noe_mati · X

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

Jan 8, 2023 · 1 like · 55 followers View post →

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Noe Mati
@noe_mati · X

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

Jan 8, 2023 · 1 like · 55 followers View post →
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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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‪Guillaume DUCARME‬ - ‪Google Scholar‬
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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.

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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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