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Utilisation of a thoracic oncology database to capture radiological and pathological images for evaluation of response to chemotherapy in patients with malignant pleural mesothelioma
  1. George B Carey1,
  2. Stephanie Kazantsev2,
  3. Mosmi Surati3,
  4. Cleo E Rolle1,
  5. Archana Kanteti4,
  6. Ahad Sadiq1,
  7. Neil Bahroos5,
  8. Brigitte Raumann5,
  9. Ravi Madduri6,
  10. Paul Dave6,
  11. Adam Starkey7,
  12. Thomas Hensing1,
  13. Aliya N Husain8,
  14. Everett E Vokes1,
  15. Wickii Vigneswaran9,
  16. Samuel G Armato III7,
  17. Hedy L Kindler1,
  18. Ravi Salgia1
  1. 1Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois, USA
  2. 2Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA
  3. 3Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA
  4. 4University of Illinois College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
  5. 5Center for Research Informatics, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA
  6. 6Computation Institute, University of Chicago, Chicago, Illinois, USA
  7. 7Department of Radiology, University of Chicago, Chicago, Illinois, USA
  8. 8Department of Pathology, University of Chicago, Chicago, Illinois, USA
  9. 9Section of Cardiac and Thoracic Surgery, Department of Surgery, University of Chicago, Chicago, Illinois, USA
  1. Correspondence to Dr Ravi Salgia; rsalgia{at}


Objective An area of need in cancer informatics is the ability to store images in a comprehensive database as part of translational cancer research. To meet this need, we have implemented a novel tandem database infrastructure that facilitates image storage and utilisation.

Background We had previously implemented the Thoracic Oncology Program Database Project (TOPDP) database for our translational cancer research needs. While useful for many research endeavours, it is unable to store images, hence our need to implement an imaging database which could communicate easily with the TOPDP database.

Methods The Thoracic Oncology Research Program (TORP) imaging database was designed using the Research Electronic Data Capture (REDCap) platform, which was developed by Vanderbilt University. To demonstrate proof of principle and evaluate utility, we performed a retrospective investigation into tumour response for malignant pleural mesothelioma (MPM) patients treated at the University of Chicago Medical Center with either of two analogous chemotherapy regimens and consented to at least one of two UCMC IRB protocols, 9571 and 13473A.

Results A cohort of 22 MPM patients was identified using clinical data in the TOPDP database. After measurements were acquired, two representative CT images and 0–35 histological images per patient were successfully stored in the TORP database, along with clinical and demographic data.

Discussion We implemented the TORP imaging database to be used in conjunction with our comprehensive TOPDP database. While it requires an additional effort to use two databases, our database infrastructure facilitates more comprehensive translational research.

Conclusions The investigation described herein demonstrates the successful implementation of this novel tandem imaging database infrastructure, as well as the potential utility of investigations enabled by it. The data model presented here can be utilised as the basis for further development of other larger, more streamlined databases in the future.

  • Basic Sciences

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: and

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