Evidence map›Paper›PMID 41821788›Full record

ArticleFrontiers in gastroenterology (Lausanne, Switzerland)2023

X-ray phase-contrast 3D virtual histology characterises complex tissue architecture in colorectal cancer.

Angelika Svetlove, Titus Griebel, Jonas Albers, Lorenzo D'Amico, Philipp Nolte, Giuliana Tromba, Hanibal Bohnenberger, Frauke Alves, Christian Dullin

Abstract read
In one paragraph

Article in Frontiers in gastroenterology (Lausanne, Switzerland), 2023. 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
–field-weighted citation impact
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.

  1. Article
  2. Quantitative Stain Mapping in X-Ray Virtual Histology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Review
  5. Article
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

9 authors.

Angelika Svetlove *Translational Molecular Imaging, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Titus Griebel *Translational Molecular Imaging, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Jonas AlbersEuropean Molecular Biology Laboratory Hamburg, Hamburg, Germany.
Lorenzo D'AmicoElettra Sincrotrone Trieste S.C.p.A, Trieste, Italy.
Philipp NolteFaculty of Engineering and Health, University of Applied Sciences and Arts, Göttingen, Germany.
Giuliana TrombaElettra Sincrotrone Trieste S.C.p.A, Trieste, Italy.
Hanibal BohnenbergerInstitute of Pathology, University Medical Center Göttingen, Göttingen, Germany.
Frauke AlvesTranslational Molecular Imaging, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Christian DullinTranslational Molecular Imaging, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise morphological analysis of tumour tissue samples is crucial for accurate diagnosis and staging of colorectal cancer (CRC), but remains limited by the 2D nature of conventional histology. Our aim is to offer a 3D representation of tissue samples by means of X-ray-based imaging to facilitate the evaluation of clinically relevant features in cancer tissue, a process that is currently subject to various restrictions. In this study, we show that propagation-based synchrotron radiation-based free propagation phase-contrast microcomputed tomography (SRµCT) is suitable for the generation of 3D tumour volumes with 2-µm voxel size using standard formalin-fixed, paraffin-embedded tissue from CRC patients and provides sufficient contrast for virtual histology. We demonstrate that, using an existing registration pipeline, a 2D histologic haematoxylin-eosin slice can be placed in the context of the 3D µCT volume. The precisely registered histologic section can then be used as a "seed point" for the segmentation and depiction of major histologic features. This approach allows for a more comprehensive understanding of the organisation of the tumour in space with respect to other structures such as vessels, fat, and lymph nodes, and has the potential to improve patients' prognostic outcomes.

Indexed as

colorectal cancerdigital pathologymicroCTphase contrastsynchrotronvirtual histology

Identifiers

PMID41821788
PMCPMC12952374

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.