What are the false positive rates for the OVA-1 (Ovarian Cancer Test)?

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False Positive Rates for the OVA-1 Test

The NCCN does not recommend using the OVA-1 test due to concerns about false-positive results, though specific false-positive rates are not quantified in the available guidelines. 1

Guideline Position on OVA-1

The National Comprehensive Cancer Network explicitly states that the OVA-1 test should not be used for determining the status of an undiagnosed pelvic mass because:

  • It increases cost without providing much benefit 1
  • There are significant concerns about false-positive results 1
  • The test is not approved as a screening tool for ovarian cancer 1

The NCCN recommends using ACOG/SGO clinical criteria instead, which rely on CA-125 levels, imaging characteristics, and clinical factors to determine whether referral to a gynecologic oncologist is warranted. 1

Context from Related Screening Tests

While specific false-positive rates for OVA-1 are not provided in the available evidence, the broader context of ovarian cancer screening demonstrates the magnitude of the false-positive problem:

CA-125 and Ultrasound Screening (PLCO Trial)

  • Approximately 10% of screened women received false-positive results during the trial 1
  • The positive predictive value was just over 1% across all screening rounds 1
  • For every ovarian cancer detected, approximately 20 surgeries were performed 1
  • Among women with false-positive results who underwent surgery, 15% experienced major complications 1

Population-Level Impact

  • In average-risk women, the positive predictive value of screening is approximately 2%, meaning 98% of positive tests are false positives 2, 3
  • False-positive results trigger additional invasive testing and potentially unnecessary surgery 2
  • In one screening program, 3,285 women had false-positive results, with 1,080 (33%) undergoing surgery with oophorectomy 1

Clinical Implications

The high false-positive rate has serious consequences:

  • Unnecessary anxiety in otherwise healthy women 2, 4
  • Invasive follow-up procedures including laparotomy 5
  • Surgical complications in women without cancer 1
  • Increased healthcare costs without mortality benefit 1, 2

Recommended Alternative Approach

Use ACOG/SGO criteria for risk stratification: 1

For postmenopausal women, refer if:

  • Elevated CA-125 (>35 U/mL) 1
  • Nodular or fixed pelvic mass 1
  • Metastatic disease or ascites 1
  • Family history of breast or ovarian cancer 1

For premenopausal women, refer if:

  • CA-125 >200 U/mL (some experts suggest >50 U/mL) 1
  • Metastatic disease or ascites 1
  • Strong family history of breast or ovarian cancer 1

Important Caveats

  • The specificity of CA-125 alone is 98.5% in postmenopausal women but only 94.5% in premenopausal women 1
  • False-positive CA-125 elevations occur with benign conditions including endometriosis, adenomyosis, pelvic inflammatory disease, menstruation, uterine fibroids, and benign cysts 1, 3
  • Even with established screening methods, no mortality benefit has been demonstrated in average-risk populations 1

References

Guideline

Guideline Directed Topic Overview

Dr.Oracle Medical Advisory Board & Editors, 2025

Guideline

Ovarian Cancer Diagnosis and Management

Praxis Medical Insights: Practical Summaries of Clinical Guidelines, 2025

Guideline

Risk Assessment for Ovarian Cancer

Praxis Medical Insights: Practical Summaries of Clinical Guidelines, 2025

Research

Screening for ovarian cancer.

Annals of internal medicine, 1994

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

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