First-of-its-Kind, Global Data Repository for Interstitial Lung Diseases Launches Through Academic and Industry Collaborative
PR91463
HOLLAND, Mich., Sept. 7, 2021 /PRNewswire=KYODO JBN/ --
-- The highly-anticipated Open Source Imaging Consortium (OSIC) database is
driven by global experts in pulmonology, radiology and artificial intelligence,
and is the most diverse and largest for rare fibrotic lung diseases
The Open Source Imaging Consortium (OSIC) (https://www.osicild.org/ ) today
announced the launch of its global, data-rich repository of anonymized HRCT
scans and clinical information regarding interstitial lung diseases (ILDs).
This first-of-its-kind database is the world's largest and most diverse, with a
plethora of real world clinical and imaging data that is both multi-ethnic and
multi-center. The OSIC Data Repository
(https://www.osicild.org/data-repository.html )currently houses close to 1,500
anonymized and quality-controlled scans with accompanying data, and has an
additional 5,000 in the quality control queue. It is on track to reach its goal
of 15,000 anonymized scans, available to OSIC members, by first quarter 2022.
OSIC – a global, 501(c)(3), not-for-profit cooperative effort between academia,
industry and patient advocacy groups – was created to enable rapid, open source
advances in the fight against idiopathic pulmonary fibrosis (IPF), fibrosing
ILDs, and other respiratory diseases, including emphysematous conditions.
Radiologists, clinicians, computational scientists, and industry competitors
from around the world collaborated for almost three years on the development of
the database itself, and are working together to advance digital imaging
biomarkers for accurate imaging-based diagnosis, prognosis and prediction of
response to therapy. Any OSIC-created algorithms will be made open source for
the benefit of patients everywhere.
"Building the OSIC repository has been a collaboration in its truest sense,
with people from different disciplines, organizations, and countries all coming
together on behalf of patients everywhere. This ability to collect and organize
anonymized imaging and clinical data from across the world is the future of
clinical science," said Dr. Kevin Brown, National Jewish Health & OSIC
pulmonology lead. "We've seen efforts like this in common diseases, but nothing
truly like it for rare diseases. As the OSIC database grows and we continuously
learn from it, a real and substantial improvement in our ability to diagnose
early, to predict outcomes, and to measure responses to therapy will be the
result."
"In recent years, we have seen rapid developments in advanced medical imaging
analysis, but a major obstacle to harnessing this technology used to study
pulmonary fibrosis is the lack of large diverse imaging repositories needed for
computer training," said Dr. Simon Walsh, National Heart and Lung Institute,
Imperial College London & OSIC radiology lead. "OSIC addresses this unmet need
by providing researchers with the data needed to develop AI-based applications
for improving patient care and facilitating precision medicine. Being able to
reliably predict how pulmonary fibrosis will progress in an individual patient
would allow doctors to initiate appropriate treatment at the earliest
opportunity and slow disease progression. It remains one of the most urgent
challenges for effective management for patients with fibrotic lung disease."
The OSIC Data Repository (https://www.osicild.org/data-repository.html )was
built with images and clinical data from a variety of sources, and every scan
has been anonymized with a personal and automated quality control check. The
organization is seeking additional scans from governmental agencies, patient
advocacy groups, and through direct patient outreach. The database has been
vetted by two global GDPR/HIPAA privacy firms, has Central IRB and multiple
institution IRB approvals, and will be managed in compliance with all
applicable privacy laws, regulations, consents and related restrictions.
"The future of medical research depends heavily on our ability to collate
significant amounts of data, and make that data available for detailed and open
scientific investigation. It's a proud moment that OSIC is at the forefront of
this movement," said Dr. David Barber, University College London & OSIC
computational science lead. "Data is the essence of scientific progress and the
OSIC Data Repository (https://www.osicild.org/data-repository.html )already
contains preliminary data rich enough to better understand the causes of
disease, leading to better treatment and patient outcomes."
OSIC is steered by subject-matter experts Dr. Kevin Brown, Dr. Simon Walsh, and
Dr. David Barber. It is also supported by an impressive list of global member
institutions and partners, including the American Lung Association
(https://www.lung.org/ ), EU-IPFF (https://www.eu-ipff.org/ ), PF Warriors
(https://pfwarriors.com/ ), Action for Pulmonary Fibrosis
(https://www.actionpf.org/ ), Boehringer Ingelheim
(https://www.boehringer-ingelheim.com/ ), Siemens Healthineers
(https://www.siemens-healthineers.com/ ), CSL Behring
(https://www.cslbehring.com/ ), Galapagos (https://www.glpg.com/ ), FLUIDDA
(https://www.fluidda.com/ ), Brainomix (https://www.brainomix.com/ ), National
Jewish Health (https://www.nationaljewish.org/home ), National and Kapodistrian
University of Athens (https://en.uoa.gr/ ), Universite de Lyon
(https://www.universite-lyon.fr/ ), Hospices Civils de Lyon
(https://www.chu-lyon.fr/ ), University of Vienna
(https://www.meduniwien.ac.at/web/ ), National Hospital Organization Kinki-Chuo
Chest Medical Center (https://kcmc.hosp.go.jp/ ), Royal Brompton and Harefield
Foundation Trust (https://www.rbht.nhs.uk/ ), University of Arizona College of
Medicine – Phoenix (https://phoenixmed.arizona.edu/about ), Pavilhao Pereira
Filho – Santa Casa de Misericordia de Porto Alegre
(https://www.santacasa.org.br/categoria/pavilhao-pereira-filho ), The Research
Institute of St. Joe's Hamilton (https://research.stjoes.ca/ ), Thirona
(https://thirona.eu/ ), Universita di Genova (https://unige.it/en/ ),
Fondazione Policlinico Universitario Agostino Gemelli
(https://www.policlinicogemelli.it/ ), VIDA Diagnostics (https://vidalung.ai/
), and imvaria (https://www.imvaria.com/ ).
To stay up-to-date on the latest OSIC news, visit https://www.osicild.org/ or
follow the organization on Twitter at @OSICild (https://www.osicild.org/ ).
SOURCE Open Source Imaging Consortium (OSIC)
CONTACT: Theresa Hennessey Barcy, theresa@tmhpublicrelations.com, 773-960-7276
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