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Ovarian Cancer Malignancy Calculator

Risk Calculation Based on RMI or ROMA:

[Risk calculation formula will be displayed here based on selected method]

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1. What is Ovarian Cancer Malignancy Risk Calculation?

Ovarian cancer malignancy risk calculation uses validated algorithms like RMI (Risk of Malignancy Index) or ROMA (Risk of Ovarian Malignancy Algorithm) to estimate the probability of ovarian malignancy based on clinical and biochemical markers.

2. How Does the Calculator Work?

The calculator uses either RMI or ROMA algorithms:

[Detailed formulas for RMI and ROMA calculations will be displayed here]

RMI Components: Ultrasound score, menopausal status, and CA-125 levels

ROMA Components: CA-125 and HE4 biomarker levels, menopausal status

3. Importance of Risk Assessment

Details: Accurate risk assessment helps in appropriate patient triage, surgical planning, and determining the need for referral to gynecologic oncology specialists.

4. Using the Calculator

Tips: Select the appropriate calculation method (RMI or ROMA) and provide all required inputs including age, biomarker levels, and clinical parameters as requested.

5. Frequently Asked Questions (FAQ)

Q1: What is the difference between RMI and ROMA?
A: RMI uses ultrasound findings and CA-125, while ROMA incorporates both CA-125 and HE4 biomarkers for potentially improved accuracy.

Q2: When should these risk calculations be used?
A: For women with adnexal masses to help determine the likelihood of malignancy and guide management decisions.

Q3: What are the limitations of these calculations?
A: Both algorithms have limitations and should be used in conjunction with clinical judgment and other diagnostic modalities.

Q4: How accurate are these risk assessments?
A: Both RMI and ROMA have good predictive value but are not 100% accurate. They serve as tools to aid clinical decision-making.

Q5: Can these calculators diagnose ovarian cancer?
A: No, these calculators provide risk assessment only. Definitive diagnosis requires histopathological examination.

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