Literature DB >> 23884657

The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.

Kenneth Clark1, Bruce Vendt, Kirk Smith, John Freymann, Justin Kirby, Paul Koppel, Stephen Moore, Stanley Phillips, David Maffitt, Michael Pringle, Lawrence Tarbox, Fred Prior.   

Abstract

The National Institutes of Health have placed significant emphasis on sharing of research data to support secondary research. Investigators have been encouraged to publish their clinical and imaging data as part of fulfilling their grant obligations. Realizing it was not sufficient to merely ask investigators to publish their collection of imaging and clinical data, the National Cancer Institute (NCI) created the open source National Biomedical Image Archive software package as a mechanism for centralized hosting of cancer related imaging. NCI has contracted with Washington University in Saint Louis to create The Cancer Imaging Archive (TCIA)-an open-source, open-access information resource to support research, development, and educational initiatives utilizing advanced medical imaging of cancer. In its first year of operation, TCIA accumulated 23 collections (3.3 million images). Operating and maintaining a high-availability image archive is a complex challenge involving varied archive-specific resources and driven by the needs of both image submitters and image consumers. Quality archives of any type (traditional library, PubMed, refereed journals) require management and customer service. This paper describes the management tasks and user support model for TCIA.

Entities:  

Mesh:

Year:  2013        PMID: 23884657      PMCID: PMC3824915          DOI: 10.1007/s10278-013-9622-7

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  12 in total

1.  Biomedical informatics research network: building a national collaboratory to hasten the derivation of new understanding and treatment of disease.

Authors:  Jeffrey S Grethe; Chaitan Baru; Amarnath Gupta; Mark James; Bertram Ludaescher; Maryann E Martone; Philip M Papadopoulos; Steven T Peltier; Arcot Rajasekar; Simone Santini; Ilya N Zaslavsky; Mark H Ellisman
Journal:  Stud Health Technol Inform       Date:  2005

2.  A national human neuroimaging collaboratory enabled by the Biomedical Informatics Research Network (BIRN).

Authors:  David B Keator; J S Grethe; D Marcus; B Ozyurt; S Gadde; Sean Murphy; S Pieper; D Greve; R Notestine; H J Bockholt; P Papadopoulos
Journal:  IEEE Trans Inf Technol Biomed       Date:  2008-03

3.  Quantitative imaging for evaluation of response to cancer therapy.

Authors:  Laurence P Clarke; Barbara S Croft; Robert Nordstrom; Huiming Zhang; Gary Kelloff; J Tatum
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

4.  GenBank.

Authors:  D A Benson; M S Boguski; D J Lipman; J Ostell
Journal:  Nucleic Acids Res       Date:  1997-01-01       Impact factor: 16.971

5.  Mining the draft human genome.

Authors:  E Birney; A Bateman; M E Clamp; T J Hubbard
Journal:  Nature       Date:  2001-02-15       Impact factor: 49.962

6.  The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.

Authors:  Kenneth Clark; Bruce Vendt; Kirk Smith; John Freymann; Justin Kirby; Paul Koppel; Stephen Moore; Stanley Phillips; David Maffitt; Michael Pringle; Lawrence Tarbox; Fred Prior
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

7.  Collecting 48,000 CT exams for the lung screening study of the National Lung Screening Trial.

Authors:  Kenneth W Clark; David S Gierada; Guillermo Marquez; Stephen M Moore; David R Maffitt; Joan D Moulton; Mary A Wolfsberger; Paul Koppel; Stanley R Phillips; Fred W Prior
Journal:  J Digit Imaging       Date:  2008-09-06       Impact factor: 4.056

8.  Silent Cerebral Infarct Transfusion (SIT) trial imaging core: application of novel imaging information technology for rapid and central review of MRI of the brain.

Authors:  Bruce A Vendt; Robert C McKinstry; William S Ball; Michael A Kraut; Fred W Prior; Bruce Barton; James F Casella; Michael R DeBaun
Journal:  J Digit Imaging       Date:  2008-04-09       Impact factor: 4.056

9.  Informatics and data mining tools and strategies for the human connectome project.

Authors:  Daniel S Marcus; John Harwell; Timothy Olsen; Michael Hodge; Matthew F Glasser; Fred Prior; Mark Jenkinson; Timothy Laumann; Sandra W Curtiss; David C Van Essen
Journal:  Front Neuroinform       Date:  2011-06-27       Impact factor: 4.081

Review 10.  The Human Connectome Project: a data acquisition perspective.

Authors:  D C Van Essen; K Ugurbil; E Auerbach; D Barch; T E J Behrens; R Bucholz; A Chang; L Chen; M Corbetta; S W Curtiss; S Della Penna; D Feinberg; M F Glasser; N Harel; A C Heath; L Larson-Prior; D Marcus; G Michalareas; S Moeller; R Oostenveld; S E Petersen; F Prior; B L Schlaggar; S M Smith; A Z Snyder; J Xu; E Yacoub
Journal:  Neuroimage       Date:  2012-02-17       Impact factor: 6.556

View more
  594 in total

1.  Special Section Guest Editorial:Radiomics and Imaging Genomics: Quantitative Imaging for Precision Medicine.

Authors:  Sandy Napel; Maryellen Giger
Journal:  J Med Imaging (Bellingham)       Date:  2015-12-11

2.  LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.

Authors:  Samuel G Armato; Lubomir Hadjiiski; Georgia D Tourassi; Karen Drukker; Maryellen L Giger; Feng Li; George Redmond; Keyvan Farahani; Justin S Kirby; Laurence P Clarke
Journal:  J Med Imaging (Bellingham)       Date:  2015-04

3.  CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma.

Authors:  Pritam Mukherjee; Murilo Cintra; Chao Huang; Mu Zhou; Shankuan Zhu; A Dimitrios Colevas; Nancy Fischbein; Olivier Gevaert
Journal:  Radiol Imaging Cancer       Date:  2020-05-15

4.  Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.

Authors:  Guido H Jajamovich; Chandni R Valiathan; Razvan Cristescu; Sangeetha Somayajula
Journal:  J Neurooncol       Date:  2016-07-08       Impact factor: 4.130

5.  Automating proton treatment planning with beam angle selection using Bayesian optimization.

Authors:  Vicki T Taasti; Linda Hong; Jin Sup Andy Shim; Joseph O Deasy; Masoud Zarepisheh
Journal:  Med Phys       Date:  2020-05-27       Impact factor: 4.071

6.  MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.

Authors:  Lichy Han; Maulik R Kamdar
Journal:  Pac Symp Biocomput       Date:  2018

7.  Reproducing two-dimensional mammograms with three-dimensional printed phantoms.

Authors:  Andreu Badal; Matthew Clark; Bahaa Ghammraoui
Journal:  J Med Imaging (Bellingham)       Date:  2018-07-12

8.  Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive.

Authors:  Jayashree Kalpathy-Cramer; John Blake Freymann; Justin Stephen Kirby; Paul Eugene Kinahan; Fred William Prior
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

9.  Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model.

Authors:  Xi Chen; Zhiguo Zhou; Raquibul Hannan; Kimberly Thomas; Ivan Pedrosa; Payal Kapur; James Brugarolas; Xuanqin Mou; Jing Wang
Journal:  Phys Med Biol       Date:  2018-10-24       Impact factor: 3.609

10.  Radiomic profiles in diffuse glioma reveal distinct subtypes with prognostic value.

Authors:  Peng Lin; Yu-Ting Peng; Rui-Zhi Gao; Yan Wei; Xiao-Jiao Li; Su-Ning Huang; Ye-Ying Fang; Zhu-Xin Wei; Zhi-Guang Huang; Hong Yang; Gang Chen
Journal:  J Cancer Res Clin Oncol       Date:  2020-02-17       Impact factor: 4.553

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.