Cancer Imaging Archive Updates: October 2019

[Tacconelli, Michelle (NIH/NCI) [C]]

TCIA Update: October 2019

We are humbled to once again have a strong presence at this year's @RSNA Annual Meeting. You can view a list of TCIA-initiated activities as well as scientific presentations based on our datasets at https://wiki.cancerimagingarchive.net/ display/Public/TCIA+Sessions+at+RSNA

The recently released Pelvic Reference Data collection uses combinatorial rigid registration optimization (CORRO) to provide a reference data set for image reg­istration of the pelvis by estimating the optimal ground truth. https://doi.org/10.7937/TCIA.2019.woskq5oo

A new batch of CPTAC data has been released! This quarter we've added 221 new pathology slides from 68 new patients, and radiology imaging for 74 new pa­tients. A full summary of this  project seeking to enable imaging + omic correla­tions is available at https://wiki.cancerimagingarchive.net/display/Public/ CPTAC+Imaging+Proteomics

Thanks indeed, @HJFMilMed! TCIA is proud to be supporting the collection and analysis of imaging data for the APOLLO  proteogenomics project and looks for­ward to continued @theNCI/ @DeptofDefense/ @VAResearch collaborations!

Congratulations to the authors whose articles made the Editor's Choice collection for #Radiomics! We are very pleased to see a number of the articles are related to datasets that have been shared on TCIA! https://nature.com/collections/ ksgfknntbs/ @nresearchnews

Looking for #data from @theNCI Clinical Trials? ECOG-ACRIN 6684 used FMI­SO PET and MR imaging to study overall survival, time to disease progression, and 6-month progression free survival in participants with newly diagnosed glio­blastoma multiforme (GBM): http://doi.org/10.7937/K9/TCIA.2018.vohlekok

Thanks @dpatweet for listing us on https://digitalpathologyassociation.org/whole-slide-imaging-repository! Type "pathology" in the filter box on our home page to see the 40 collections which contain this type of image.

Heads up! We are no longer requiring users to sign up for an API key if they want to leverage our REST API. Existing applications incorporating an API key should continue to work without modification. Our API documentation is located at https://wiki.cancerimagingarchive.net/x/NIIiAQ

The video recording and slides from last week's CPTAC Imaging SIG webinar have been posted to https://wiki.cancerimagingarchive.net/display/Public/ CPTAC+SIG+Webinars. Learn some proteomics basics and how researchers trained a deep learning model to distinguish STK11 mutated and wild type pathol­ogy slides from CPTAC-LUAD.

QIN-Brain-DSC-MRI (previously restricted) is now open-access! It contains post-contrast T1w images with co-registered DSC MRIs of brain lesions and ROIs of lesion, arterial input function, normal white matter, normal cerebral cortex, and whole brain. https://dx.doi.org/doi:10.7937/K9/TCIA.2016.5DI84Js8

14 new subjects have been added to the TCGA-BLCA (bladder) collection:  http:// doi.org/10.7937/K9/TCIA.2016.8LNG8XDR. This concludes TCIA's accrual of im­aging data from The Cancer Genome Atlas study. #radiogenomics

The deadline for the Medical Physics Special Issue on Dataset Articles from The Cancer Imaging Archive is fast approaching (Dec 20, 2019)! Early submissions are encouraged. Full details can be found at https://aapm.onlinelibrary.wiley.com/hub/ journal/24734209/mpda-call-for-papers. Get publication credit for sharing your da­ta!

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