Evidence map›Paper›PMID 37293347›Full record

ArticleRadiology. Artificial intelligence2023

DeePSC: A Deep Learning Model for Automated Diagnosis of Primary Sclerosing Cholangitis at Two-dimensional MR Cholangiopancreatography.

Haissam Ragab, Fabian Westhaeusser, Anne Ernst, Jin Yamamura, Patrick Fuhlert, Marina Zimmermann, Julia Sauerbeck, Farzad Shenas, Cansu Özden, Anna Weidmann and 3 more

Open access · greenAbstract read
In one paragraph

Article in Radiology. Artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Primary Sclerosing Cholangitis: Diagnostic Criteria.Tomography (Ann Arbor, Mich.) · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Haissam Ragab *From the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).ORCID 0000-0001-8467-6806
Fabian Westhaeusser *From the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).ORCID 0000-0001-9321-5112
Anne ErnstFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).
Jin YamamuraFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).ORCID 0000-0003-3990-5125
Patrick FuhlertFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).ORCID 0000-0001-8480-3705
Marina ZimmermannFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).ORCID 0000-0002-2666-5997
Julia SauerbeckFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).ORCID 0000-0002-2256-9164
Farzad ShenasFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).
Cansu ÖzdenFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).
Anna WeidmannFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).
Gerhard AdamFrom the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).ORCID 0000-0001-7976-3868
Stefan Bonn *From the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).
Christoph Schramm *From the Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (H.R., J.Y., J.S., F.S., C.Ö., A.W., G.A.); Institute of Medical Systems Biology, Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (F.W., A.E., P.F., M.Z., S.B.); Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (M.Z., C.S.); Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany (S.B., C.S.); and Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (C.S.).ORCID 0000-0002-4264-1928
Universität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop, train, and validate a multiview deep convolutional neural network (DeePSC) for the automated diagnosis of primary sclerosing cholangitis (PSC) on two-dimensional MR cholangiopancreatography (MRCP) images. Materials and Methods: This retrospective study included two-dimensional MRCP datasets of 342 patients (45 years ± 14 [SD]; 207 male patients) with confirmed diagnosis of PSC and 264 controls (51 years ± 16; 150 male patients). MRCP images were separated into 3-T ( Results: DeePSC achieved an accuracy of 80.5% ± 1.3 (sensitivity, 80.0% ± 1.9; specificity, 81.1% ± 2.7) on the 3-T and 82.6% ± 3.0 (sensitivity, 83.6% ± 1.8; specificity, 80.0% ± 8.9) on the 1.5-T test set and scored even higher on the external test set (accuracy, 92.4% ± 1.1; sensitivity, 100.0% ± 0.0; specificity, 83.5% ± 2.4). DeePSC outperformed radiologists in average prediction accuracy by 5.5 ( Conclusion: Automated classification of PSC-compatible findings based on two-dimensional MRCP was achievable and demonstrated high accuracy on internal and external test sets.

Indexed as

Deep LearningLiver DiseaseMR CholangiopancreatographyMRINeural NetworksPrimary Sclerosing Cholangitis

Identifiers

PMID37293347
PMCPMC10245178
OpenAlexW4366404356

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.