Saved Results

No results saved yet.

Enter a patient name and hit Save on a result.

Clinical calculator summary

Original Residual Cancer Burden index

Six-field continuous pathology index of residual invasive breast and nodal disease after neoadjuvant chemotherapy.

Evidence-based context for fast calculator use

Purpose:
Quantify residual disease burden and assign the original RCB class from complete surgical pathology measurements.
Population:
Initially invasive breast cancer assessed on surgical pathology after neoadjuvant chemotherapy.
Factors:
Two tumor-bed dimensions, Overall carcinoma cellularity, Percentage in situ, Positive lymph-node count, Largest nodal metastasis
Reference:
Symmans WF, et al. J Clin Oncol. 2007;25(28):4414-4422.
HomeResidual Cancer Burden (RCB)
Pin your most used calculators here by clicking the star in the dropdown.

Residual Cancer Burden (RCB)

mm
mm
%
%
mm

Clinical Context & Background

The original Residual Cancer Burden (RCB) index combines the dimensions and cellularity of the breast tumor bed with the number and size of nodal metastases after neoadjuvant chemotherapy. The invasive fraction explicitly accounts for the percentage of carcinoma that is in situ. The continuous full-precision score is classified as RCB-0, RCB-I, RCB-II, or RCB-III; rounding is for display only.
Use this calculator for surgical pathology assessment after neoadjuvant chemotherapy for an initially invasive breast cancer. Use the largest tumor bed when disease is multicentric and base inputs on mapped histologic assessment of the tumor bed and regional nodes. RCB-0 permits residual in situ disease when no residual invasive breast or nodal disease remains.
Do not use RCB for pretreatment imaging, clinical response assessment, unresected disease, metastatic-disease prognosis, or DCIS-only disease without an initially invasive cancer. Prognostic associations vary by subtype and treatment era. RCB complements, but does not replace, ypTNM, biomarkers, pathology review, current evidence, and individualized clinical assessment.
Formula Logic
dprim = sqrt(d1 x d2); finv = (1 - inSituPercent/100) x (cellularity/100); RCB = 1.4 x (finv x dprim)^0.17 + [4 x (1 - 0.75^nodes) x dmet]^0.17. Zero bases contribute exactly zero; classify the unrounded score.

Reference Data

RCB ClassFull-precision scorePathologic response burden
RCB-0= 0No residual invasive breast or nodal disease; residual in situ disease is permitted
RCB-I> 0 to 1.36Minimal residual burden
RCB-II> 1.36 to 3.28Moderate residual burden
RCB-III> 3.28Extensive residual burden

Clinical Workflow

Use, Interpret, And Continue The Patient Pathway

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

When To Use

  • Use after neoadjuvant chemotherapy and surgery for an initially invasive breast cancer, using mapped histologic assessment of the tumor bed and regional lymph nodes.
  • Use the largest tumor bed in multicentric disease and enter all six official MD Anderson pathology measurements.

How To Interpret

  • Interpret the continuous full-precision RCB index and its RCB-0, RCB-I, RCB-II, or RCB-III class; the displayed two-decimal value is not used for classification.
  • RCB-0 permits residual in situ disease only when no residual invasive breast or nodal disease remains.

What To Do Next

  • Document the six pathology inputs, raw calculation trace, displayed score, class, and any consistency warning so the result can be reproduced.
  • Integrate RCB with ypTNM, receptor subtype, biomarkers, pathology review, current evidence, and the complete clinical context rather than using it as an automatic treatment rule.

Limitations

  • Not intended for pretreatment imaging, clinical response assessment, unresected disease, metastatic-disease prognosis, or DCIS-only disease without an initially invasive cancer.
  • The original treatment era predates many contemporary subtype-specific regimens, and prognostic associations vary by subtype and treatment era.

Validated Population

Surgical pathology after neoadjuvant chemotherapy for initially invasive breast cancer represented in the original MD Anderson cohorts.

Use the raw score for the class

A raw score of 1.3601 displays as 1.36 but is RCB-II because the class boundary is applied before rounding.

Calculation verification history

Verified
  1. : Production browser revalidation

    • Three source-backed cases passed through visible production controls at RCB-0, RCB-I, and RCB-III.
    • The former unsupported three-band risk gauge was absent.
    • No unexpected N/A, literal undefined value, stale control, unsupported gauge, or browser-console error was observed.
    Download latest production check (Excel)

    Case-level evidence is retained in validation/browser-revalidation/rcb-residual-burden-2026-08-03.json.

  2. : Local browser remediation

    • Valid RCB results now explicitly suppress the shared generic three-band risk gauge so the source-defined RCB-0, RCB-I, RCB-II, and RCB-III classes remain the only displayed framework.
    • Ten source-backed cases passed through visible local browser controls across 11 submissions, covering RCB-0 through RCB-III, both raw class boundaries, pure in situ disease, consistency warning, required-field validation, and reset/repeat behavior.
    • The existing calculator-specific audit passed 591/591. Production status remains open until this commit is deployed and the public route is revalidated.

    Local case-level remediation evidence is retained in validation/browser-production/rcb-residual-burden.local-remediation.json.

  3. : Production browser validation

    • Ten source-backed cases were exercised on the public production route through visible browser controls; 1/10 case records passed their expected-versus-observed assertions across 11 visible submissions.
    • Overall browser status: failed-ui-and-console. high: Every valid RCB-0, RCB-I, RCB-II, or RCB-III result displays a generic Low Risk / Intermediate / High Risk gauge that collapses the source-defined four-class pathologic-response system into unrelated three-band terminology. | medium: Production emitted minified React error #418 during the route load.
    • Case-level inputs, expected and observed results, reset/repeat behavior, failure reproductions, and console evidence are retained in the production-browser evidence record.

    Case-level production evidence is retained in validation/browser-production/rcb-residual-burden.json.

  4. : Full validation test

    • Verified the six-field equation, all 156 official cellularity/in-situ anchor combinations in both calculation paths, eight clinical fixtures, every raw and integration class boundary, component and node branches, percentage limits, strict malformed-input handling, official zero-base observations, trace reconciliation, and public evidence wiring.
  5. : Correction history

    • Added the required percentage of carcinoma that is in situ, corrected finv to (1 - inSituPercent/100) x (cellularity/100), changed class assignment from rounded to full-precision score, removed overlapping class intervals, required all six exact inputs, preserved visible zero entries, and added consistency warnings for official zero-base input combinations.

Verification confirms the calculator implementation against the cited model; it is not independent clinical validation, regulatory approval, or medical advice.

Found a possible issue? Report it to improve this calculator

Share This Calculator

Share:

Frequently Asked Questions

Does residual in situ disease prevent RCB-0?

No. RCB-0 permits residual in situ disease when there is no residual invasive breast or nodal disease.

Is the displayed two-decimal score used to assign the class?

No. The class is assigned from the full-precision unrounded score, so values just above 1.36 or 3.28 remain in the higher class even if they display as the boundary.

Why might the result show a measurement consistency warning?

The official equation treats zero primary or nodal bases as zero. A warning asks the user to confirm internally inconsistent pathology entries without changing that official arithmetic behavior.

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