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@ARTICLE{Hoffmeister:301542,
author = {M. Hoffmeister$^*$ and T. Seum$^*$ and L. Ludwig$^*$ and H.
Brenner$^*$},
title = {{P}erformance of a smartphone-based stool test for use in
colorectal cancer screening: population-based study.},
journal = {Clinical gastroenterology and hepatology},
volume = {nn},
issn = {1542-3565},
address = {New York, NY},
publisher = {Elsevier Science},
reportid = {DKFZ-2025-01063},
pages = {nn},
year = {2025},
note = {#EA:C070#LA:C070# / epub},
abstract = {Non-invasive colorectal cancer (CRC) screening bears high
potential for increasing participation if implemented in a
straightforward way. We have evaluated the feasibility and
diagnostic performance of a smartphone-based fecal
immunochemical test (FIT) for CRC screening and compared its
performance of with a laboratory-based FIT.Individuals
scheduled for a screening colonoscopy in gastroenterology
practices in Southern Germany enrolled into the BLITZ study
between 2021 and 2023 were offered a smartphone-based FIT
and a laboratory FIT. The smartphone-based FIT consists of a
rapid test and a smartphone app. The app quantitatively
evaluates the result of the rapid test using the smartphone
camera.. The feasibility of the smartphone-based FIT was
evaluated in a self-administered questionnaire. The
comparative performance of the two FITs was evaluated by
sensitivity, specificity and receiver-operator curve (ROC)
measures.Of 654 study participants who were offered both a
smartphone-based FIT in addition to the laboratory FIT, 361
$(55\%)$ made use of the smartphone-based FIT, 274 $(76\%)$
of those had a valid smartphone-based FIT, and 643 $(98\%)$
used the laboratory FIT. Overall $89\%$ considered the
smartphone-based FIT as a useful alternative offer to the
laboratory FIT. The reasons why the smartphone-based FIT was
not used were mostly technical (app- or smartphone-related,
$47\%),$ or reflecting more general concerns or attitudes
towards such a test $(44\%).$ The smartphone-based FIT
showed a sensitivity for advanced neoplasms $(28\%,$ $95\%$
confidence interval $13-47\%)$ similar to the laboratory FIT
$(34\%,$ $18-54\%)$ at an identical specificity $(92\%,$
$87-95\%).The$ smartphone-based FIT could serve as an
alternative in addition to currently offered laboratory
FITs. drks.de, DRKS00008737.},
keywords = {FIT (Other) / colonoscopy (Other) / digital prevention
(Other) / early detection (Other) / self-test (Other)},
cin = {C070 / HD01},
ddc = {610},
cid = {I:(DE-He78)C070-20160331 / I:(DE-He78)HD01-20160331},
pnm = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
pid = {G:(DE-HGF)POF4-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:40403947},
doi = {10.1016/j.cgh.2025.04.027},
url = {https://inrepo02.dkfz.de/record/301542},
}