Work Description

Title: Lu-177 DOTATATE Anonymized Patient Datasets: Pre-therapy Diagnostic Images Open Access Deposited

h
Attribute Value
Methodology
  • Diagnostic imaging scans were acquired under standard clinical protocols and correspond to Lu-177 patients who have consented to be on dosimetric research trials in our clinics. All patient private information is anonymized using commercial software.
Description
  • This publication contains anonymized diagnostic imaging scans of two patients. The images provided are pre-therapy scans used by clinicians for diagnosis and for selecting patients for treatment with Lu-177 DOTATATE. Multiple imaging modalities are present including diagnostic CT, MRI, and Ga68 PET, depending on the selected patient. All images are in DICOM format.
Creator
Depositor
  • benjvan@umich.edu
Contact information
Discipline
Funding agency
  • National Institutes of Health (NIH)
ORSP grant number
  • F057380-001180
Keyword
Resource type
Curation notes
  • An error was detected in the read me file on Feb 17, 2021. The high-level background information about patient 4 and patient 6 had been switched in the readme file, so that information about patient 4 actually described patient 6 and vice versa. A corrected readme file was uploaded on Feb 18, 2021 and the earlier readme was removed.

  • Additional revisions were made to the read me file on May 14, 2021. The authors changed multiple instances of “a week” to 8 days to better reflect the scan time period; Revised “Co-registered scans” to “Registered scans” on Page 3; Switched the Patient 4 and Patient 6 age, sex, and ID lines – Page 4,5; Switched order of “Lesion and Organ Volumes of Interest” and “Lu-177 SPECT Time Integrated Activity maps” – Page 3, and Modified the description of “Lesion and Organ Volumes of Interest” – Page 3. A corrected readme file was uploaded on May 19, 2021 and the earlier readme was removed.
Last modified
  • 11/18/2022
Published
  • 02/10/2021
Language
DOI
  • https://doi.org/10.7302/vqmy-g059
License
To Cite this Work:
Dewaraja, Y. K., Van, B. J. (2021). Lu-177 DOTATATE Anonymized Patient Datasets: Pre-therapy Diagnostic Images [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/vqmy-g059

Relationships

In Collection:

Files (Count: 3; Size: 553 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
Pre-Therapy_Diagnostic_Images_Re...8.pdf 2021-05-19 2021-05-19 688 KB Open Access
patient_4.zip 2021-01-07 2021-01-07 144 MB Open Access
patient_6.zip 2021-01-07 2021-01-07 409 MB Open Access

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.