Klein, Sebastian ORCID: 0000-0002-2188-9377, Gildenblat, Jacob, Ihle, Michaele Angelika, Merkelbach-Bruse, Sabine, Noh, Ka-Won, Peifer, Martin, Quaas, Alexander and Buettner, Reinhard (2020). Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies. BMC Gastroenterol., 20 (1). LONDON: BMC. ISSN 1471-230X
Full text not available from this repository.Abstract
BackgroundHelicobacter pylori, a 2x1 mu m 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 H. pylori eradication. There is a strong rational to accelerate the detection process of H. pylori on histological specimens, using novel technologies, such as deep learning. MethodsWe 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 H. pylori both on Giemsa- and regular H&E stained whole slide images.ResultsWith 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).ConclusionTogether, we provide the first evidence of a decision support algorithm proving as a sensitive screening option for H. pylori that can potentially aid pathologists to accurately diagnose H. pylori presence on gastric biopsies.
Item Type: | Journal Article | ||||||||||||||||||||||||||||||||||||
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URN: | urn:nbn:de:hbz:38-308237 | ||||||||||||||||||||||||||||||||||||
DOI: | 10.1186/s12876-020-01494-7 | ||||||||||||||||||||||||||||||||||||
Journal or Publication Title: | BMC Gastroenterol. | ||||||||||||||||||||||||||||||||||||
Volume: | 20 | ||||||||||||||||||||||||||||||||||||
Number: | 1 | ||||||||||||||||||||||||||||||||||||
Date: | 2020 | ||||||||||||||||||||||||||||||||||||
Publisher: | BMC | ||||||||||||||||||||||||||||||||||||
Place of Publication: | LONDON | ||||||||||||||||||||||||||||||||||||
ISSN: | 1471-230X | ||||||||||||||||||||||||||||||||||||
Language: | English | ||||||||||||||||||||||||||||||||||||
Faculty: | Unspecified | ||||||||||||||||||||||||||||||||||||
Divisions: | Unspecified | ||||||||||||||||||||||||||||||||||||
Subjects: | no entry | ||||||||||||||||||||||||||||||||||||
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URI: | http://kups.ub.uni-koeln.de/id/eprint/30823 |
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