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Summary

Redirect
delay5
locationhttps://www.cancerimagingarchive.net/collection/rider-breast-mri/

Excerpt

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



Localtab
activetrue
titleData Access

Data Access

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Data

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TypeDownload all or Query/FilterLicense
Images (DICOM, 401MB

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)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22512757/doiJNLP-Fo0H1NtD.tcia?version=1&modificationDate=1534787017928&api=v2



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labelSearch
urlhttps://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=RIDER%20Breast%20MRI



(Download requires the NBIA Data Retriever)

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DICOM Metadata Digest (CSV, 7 kB)

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urlhttps://wiki.cancerimagingarchive.net/download/attachments/22512757/RIDERBreastMRI_MetaData.csv?version=1&modificationDate=1495728604329&api=v2



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Nci_crdc additional resources




Localtab
titleDetailed Description

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.





Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

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tcia-

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limited-license-policy

Info
titleData Citation

Meyer

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, C. R., Chenevert

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, T. L., Galbán

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, C. J., Johnson

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, T. D., Hamstra

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, D. A., Rehemtulla, A., & Ross

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, B. D. (2015).

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RIDER

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Breast

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MRI [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.H1SXNUXL


Info
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).

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The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

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. In Journal of Digital Imaging

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(Vol. 26,

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Issue 6

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, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915


Other Publications Using This Data

TCIA maintains a list of publications which leverage our data.

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If you have a publication you'd like to add please contact the TCIA Helpdesk.




Localtab
titleVersions

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

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Data

...

TypeDownload all or Query/Filter
Images (DICOM, 401MB)

...


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22512757/doiJNLP-Fo0H1NtD.tcia?version=1&modificationDate=1534787017928&api=v2



Tcia button generator
labelSearch
urlhttps://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=RIDER%20Breast%20MRI



(Download requires the NBIA Data Retriever)

DICOM Metadata Digest (CSV)

...


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22512757/RIDERBreastMRI_MetaData.csv?version=1&modificationDate=1495728604329&api=v2