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Clinical calculator summary

O-RADS (Ovarian-Adnexal Reporting and Data System)

O-RADS is the ACR risk stratification system for ovarian and adnexal masses on ultrasound, classifying lesions from O-RADS 1 (normal) to O-RADS 5 (high risk of malignancy).

Evidence-based context for fast calculator use

Purpose:
Classify ovarian/adnexal masses by malignancy risk to guide management
Population:
Women with ovarian or adnexal masses identified on ultrasound
Factors:
Lesion type (simple cyst, complex, solid), Size, Internal features, Colour score, Peritoneal features
Reference:
Andreotti et al., Radiology 2020
HomeO-RADS Calculator — Ovarian-Adnexal Reporting & Data System (Ultrasound)
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O-RADS Calculator — Ovarian-Adnexal Reporting & Data System (Ultrasound)

Clinical Context & Background

O-RADS™ US provides a standardized lexicon and risk stratification system for ovarian and adnexal masses. It assigns a risk category (O-RADS 1-5) based on morphology, the "3mm rule" for solid components, and vascularity (Color Score), which guides clinical management (observation, MRI, or specialist referral).
Primary Source EvidenceAndreotti RF, Timmerman D, Strachowski LM, et al. O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee. Radiology. 2020;294(1):168-185.
Formula Logic
Algorithmic Decision Tree (Morphology → Size/Vascularity Modifiers)

Reference Data

CategoryRisk of MalignancyManagement
O-RADS 10%Physiologic (No follow-up)
O-RADS 2< 1%Almost Certainly Benign (Surveillance)
O-RADS 31 - 10%Low Risk (Gyn Specialist / MRI)
O-RADS 410 - 50%Intermediate Risk (Gyn Onc / MRI)
O-RADS 5≥ 50%High Risk (Referral to Gyn Oncologist)

Clinical Workflow

Use, Interpret, And Continue The Patient Pathway

Expand for workflow guidance, limitations, examples, and related next steps.

When To Use

  • Use O-RADS Calculator — Ovarian-Adnexal Reporting & Data System (Ultrasound) when o-RADS ultrasound calculator for ovarian and adnexal mass risk stratification. Classify lesions from O-RADS 1 (normal) to O-RADS 5 (high risk) based on ACR criteria.
  • Confirm that the patient, diagnosis, disease phase, and available inputs match the cited model before calculation.

How To Interpret

  • Interpret the displayed result using the calculator-specific formula and reference table, spanning O-RADS 1 through O-RADS 5.
  • A boundary result should prompt input verification and clinical review rather than false precision.

What To Do Next

  • Confirm organ site, pathology, menopausal or postoperative context, imaging, biomarker assay, and specialist referral pathway.
  • Document the inputs, result, timing, and clinical context so the assessment can be reproduced.

Limitations

  • Adnexal-mass, cervical postoperative, endometrial, and ovarian cytoreduction models answer different clinical questions.
  • The result supports clinician judgment and does not independently determine treatment.

Validated Population

patients undergoing ovarian, cervical, endometrial, or gestational-trophoblastic risk and staging assessment

How to apply this result

For a representative case, verify Menopausal Status, Dominant Morphology, Max Diameter of Lesion, calculate the result, and confirm that its classification matches the highlighted reference band before continuing the disease-specific pathway.

Gynecologic Oncology hubContinue to related calculators and clinical workflow resources.

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Related Tools

FIGO GTN Risk ScoreRMI (Risk of Malignancy Index)ROMA Score (Ovarian)

Frequently Asked Questions

When should O-RADS Calculator — Ovarian-Adnexal Reporting & Data System (Ultrasound) be used?

Use it for patients undergoing ovarian, cervical, endometrial, or gestational-trophoblastic risk and staging assessment when all required inputs and the intended clinical setting are confirmed.

Can O-RADS Calculator — Ovarian-Adnexal Reporting & Data System (Ultrasound) determine treatment by itself?

No. Interpret the result with the cited evidence, complete clinical assessment, current guidelines, and patient-specific goals.

Evidence-based oncology decision support. Verify with clinical guidelines.