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Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies.


ABSTRACT:

Background

Helicobacter pylori, a 2?×?1 ?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.

Methods

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 H. pylori both on Giemsa- and regular H&E stained whole slide images.

Results

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).

Conclusion

Together, 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.

SUBMITTER: Klein S 

PROVIDER: S-EPMC7731757 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies.

Klein Sebastian S   Gildenblat Jacob J   Ihle Michaele Angelika MA   Merkelbach-Bruse Sabine S   Noh Ka-Won KW   Peifer Martin M   Quaas Alexander A   Büttner Reinhard R  

BMC gastroenterology 20201211 1


<h4>Background</h4>Helicobacter pylori, a 2 × 1 μm 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  ...[more]

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