{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T19:23:47Z","timestamp":1790882627264,"version":"4.1.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2020,12,11]],"date-time":"2020-12-11T00:00:00Z","timestamp":1607644800000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003042","name":"Else Kr\u00f6ner-Fresenius-Stiftung","doi-asserted-by":"publisher","award":["2015_Kolleg.19"],"award-info":[{"award-number":["2015_Kolleg.19"]}],"id":[{"id":"10.13039\/501100003042","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Projekt DEAL"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Gastroenterol"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p><jats:italic>Helicobacter pylori<\/jats:italic>, a 2\u2009\u00d7\u20091\u00a0\u03bcm spiral-shaped bacterium, is the most common risk factor for gastric cancer worldwide. Clinically, patients presenting with symptoms of gastritis, routinely undergo gastric biopsies. The following histo-morphological evaluation dictates therapeutic decisions, where antibiotics are used for <jats:italic>H. pylori<\/jats:italic> eradication. There is a strong rational to accelerate the detection process of <jats:italic>H. pylori<\/jats:italic> on histological specimens, using novel technologies, such as deep learning.\n<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>We designed a deep-learning-based decision support algorithm that can be applied on regular whole slide images of gastric biopsies. In detail, we can detect <jats:italic>H. pylori<\/jats:italic> both on Giemsa- and regular H&amp;E stained whole slide images.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>With the help of our decision support algorithm, we show an increased sensitivity in a subset of 87 cases that underwent additional PCR- and immunohistochemical testing to define a sensitive ground truth of HP presence. For Giemsa stained sections, the decision support algorithm achieved a sensitivity of 100% compared to 68.4% (microscopic diagnosis), with a tolerable specificity of 66.2% for the decision support algorithm compared to 92.6 (microscopic diagnosis).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Together, we provide the first evidence of a decision support algorithm proving as a sensitive screening option for <jats:italic>H. pylori<\/jats:italic> that can potentially aid pathologists to accurately diagnose <jats:italic>H. pylori<\/jats:italic> presence on gastric biopsies.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12876-020-01494-7","type":"journal-article","created":{"date-parts":[[2020,12,11]],"date-time":"2020-12-11T11:05:39Z","timestamp":1607684739000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies"],"prefix":"10.1186","volume":"20","author":[{"given":"Sebastian","family":"Klein","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob","family":"Gildenblat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michaele Angelika","family":"Ihle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabine","family":"Merkelbach-Bruse","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ka-Won","family":"Noh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Peifer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Quaas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reinhard","family":"B\u00fcttner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,12,11]]},"reference":[{"issue":"13","key":"1494_CR1","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1001\/jama.2013.393","volume":"309","author":"TB Murdoch","year":"2013","unstructured":"Murdoch TB, Detsky AS. 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The study was performed in accordance with the 1975 Helsinki Declaration and its later amendments. Written informed consent was obtained from participants.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"JG is Co-Founder of DeePathology Ltd., DeePathology Ltd. filed a patent on <i>H. pylori<\/i> detection on whole slide images (JG was not involved in the process of validation of the algorithm). All other authors declare to conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"417"}}