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Ideally a patient’s response to neoadjuvant chemotherapy could be observed noninvasively, in the first 2-3 weeks of treatment using an imaging to provide feedback related to the effectiveness of the chosen chemotherapy regimen. This capability would permit individuation of patient care by supporting the opportunity to tailor chemotherapy to a each patient’s response. Functional diffusion mapping (fDM), now called Parametric Response Mapping (PRM) has been proposed as an MRI imaging biomarker for quantifying early brain tumor response to therapy [1-3]. This approach quantifies local apparent diffusion coefficient (ADC) changes in tumors using a voxel-based analysis implemented by rigid registration of the patient’s head between interval exams. The RIDER Breast MRI data set extended this approach by demonstrating ADC changes in 3 of 5 primary breast cancer patients measured in response to onset of neoadjuvant chemotherapy from interval exams separated by only 8-11 days.

This  ISMRM 2009 poster  demonstrates how each of the "coffee break" exams were used as an estimate of each patient's null hypothesis, i.e. distribution associated with no change, and thus supports the estimate of the nulls 97.5 percentile for subsequent estimation of early response to neoadjuvant chemotherapy on an individual patient basis.

Localtab Group

titleData Access

Data Access

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Data TypeDownload all or Query/Filter
Images (DICOM, 401MB)
DICOM Metadata Digest (CSV)

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titleDetailed Description

Detailed Description

Collection Statistics



Number of Participants


Number of Studies


Number of Series


Number of Images


Image Size (MB)401.61

A detailed description of the data set is contained in this  ISMRM 2009 poster.

titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Public collection license

titleData Citation

Meyer CR, Chenevert TL, Galbán CJ, Johnson TD, Hamstra DA, Rehemtulla A, & Ross BD. (2015). Data From RIDER_Breast_MRI. The Cancer Imaging Archive.

titleTCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F.


(2013) The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging,




:6,1045-1057. DOI:

Other Publications Using This Data

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Version 1 (Current): Updated 2011/11/08

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Data TypeDownload all or Query/Filter
Images (DICOM, 401MB)
DICOM Metadata Digest (CSV)