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Summary

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.



Data Access

C lick the  Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.

Data Type Download all or Query/Filter
Images (DICOM, 401MB)

 

DICOM Metadata Digest (CSV)

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Detailed Description

Collection Statistics


Modalities

MR

Number of Participants

5

Number of Studies

10

Number of Series

40

Number of Images

1,500

Image Size (MB) 401.61


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


Citations & Data Usage Policy 

Users of this data must abide by the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations:

Data 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. https://doi.org/10.7937/K9/TCIA.2015.H1SXNUXL

TCIA 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. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: https://doi.org/10.1007/s10278-013-9622-7


Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. At this time we are not aware of any additional publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.

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

Downloads require the NBIA Data Retriever .

Data Type Download all or Query/Filter
Images (DICOM, 401MB)

 

DICOM Metadata Digest (CSV)


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