Evidence map›Paper›PMID 35835392›Full record

ArticleCellular and molecular gastroenterology and hepatology2022

A Novel Three-Dimensional Imaging System Based on Polysaccharide Staining for Accurate Histopathological Diagnosis of Inflammatory Bowel Diseases.

Satoshi Nojima, Shoichi Ishida, Kei Terayama, Katsuhiko Matsumoto, Takahiro Matsui, Shinichiro Tahara, Kenji Ohshima, Hiroki Kiyokawa, Kansuke Kido, Koto Ukon and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cellular and molecular gastroenterology and hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Three-dimensional optically cleared tissue imaging for analyzing endoscopic images of gastrointestinal neoplasms (with video).Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2025
    Article
  3. Review
  4. Article
  5. 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

18 authors at 5 institutions in 1 country.

Satoshi NojimaDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Immunopathology, WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan. Electronic address: s_nojima@molpath.med.osaka-u.ac.jp.
Shoichi IshidaGraduate School of Medical Life Science, Yokohama City University, Kanagawa, Japan.
Kei TerayamaGraduate School of Medical Life Science, Yokohama City University, Kanagawa, Japan; Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Katsuhiko MatsumotoLaboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan.
Takahiro MatsuiDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan.
Shinichiro TaharaDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan.
Kenji OhshimaDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan.
Hiroki KiyokawaDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan.
Kansuke KidoDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan.
Koto UkonDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan.
Shota Y YoshidaDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan; Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan.
Tomoki T MitaniLaboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan.
Yuichiro DokiDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Tsunekazu MizushimaDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Therapeutics for Inflammatory Bowel Diseases, Osaka University Graduate School of Medicine, Osaka, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan.
Yasushi OkunoDepartment of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan; RIKEN Center for Computational Science, Hyogo, Japan.
Etsuo A SusakiLaboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan; Department of Biochemistry and Systems Biomedicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hiroki R UedaLaboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan; Department of Systems Pharmacology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Eiichi MoriiDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan. Electronic address: morii@molpath.med.osaka-u.ac.jp.
The University of Osaka · JPRIKEN Center for Biosystems Dynamics Research · JPKyoto University · JPJuntendo University · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsTissue-clearing and three-dimensional (3D) imaging techniques aid clinical histopathological evaluation; however, further methodological developments are required before use in clinical practice.

methodsWe sought to develop a novel fluorescence staining method based on the classical periodic acid-Schiff stain. We further attempted to develop a 3D imaging system based on this staining method and evaluated whether the system can be used for quantitative 3D pathological evaluation and deep learning-based automatic diagnosis of inflammatory bowel diseases.

resultsWe successfully developed a novel periodic acid-FAM hydrazide (PAFhy) staining method for 3D imaging when combined with a tissue-clearing technique (PAFhy-3D). This strategy enabled clear and detailed imaging of the 3D architectures of crypts in human colorectal mucosa. PAFhy-3D imaging also revealed abnormal architectural changes in crypts in ulcerative colitis tissues and identified the distributions of neutrophils in cryptitis and crypt abscesses. PAFhy-3D revealed novel pathological findings including spiral staircase-like crypts specific to inflammatory bowel diseases. Quantitative analysis of crypts based on 3D morphologic changes enabled differential diagnosis of ulcerative colitis, Crohn's disease, and non-inflammatory bowel disease; such discrimination could not be achieved by pathologists. Furthermore, a deep learning-based system using PAFhy-3D images was used to distinguish these diseases The accuracies were excellent (macro-average area under the curve = 0.94; F1 scores = 0.875 for ulcerative colitis, 0.717 for Crohn's disease, and 0.819 for non-inflammatory bowel disease).

conclusionsPAFhy staining and PAFhy-3D imaging are promising approaches for next-generation experimental and clinical histopathology.

Indexed as

Colitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesHumansHydrazinesImaging, Three-DimensionalPeriodic AcidPolysaccharidesStaining and LabelingHydrazinesPeriodic AcidPolysaccharides3D ImagingDeep LearningHistopathologyInflammatory Bowel DiseasesTissue Clearing

Identifiers

PMID35835392
PMCPMC9500441
OpenAlexW4285045887

What OpenQuestion holds

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Registered trials

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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.