Matlab Code for MRI Sample Size Analysis in Breast Lesion Studies

Jessica V. Eberle provides Matlab code for analyzing dominant error types in breast diffusion-weighted MRI studies. The analysis is based on a literature review of 24 published studies and an in-house cohort of 171 patients with suspicious breast lesions. The code was last updated on June 4, 2026.

Use Cases

• Estimating sample size requirements for breast DWI studies based on finite N error analysis.
• Comparing precision errors versus sample size-related errors in apparent diffusion coefficient (ADC) measurements.
• Replicating the analysis that determined a median sample size of n=932 for equal finite N and precision errors.

Strengths

• Code is associated with a peer-reviewed methodology described in the background.
• Analysis is based on a specific in-house cohort of 171 patients.
• Includes a literature review component covering 24 published breast DWI studies.

Limitations

• The dataset is very small at 4.4 KB, containing code rather than primary data.
• Row count and column-level documentation for any output data are unknown.
• The actual data quality and output of the code require manual inspection after execution.

Provenance

Source

Jessica V. Eberle via figshare

Collection Method

Code for analysis based on a literature review and an institutional patient cohort.

Freshness

Last updated 2026-06-04 17:32:02