Evidence map›Paper›PMID 38461221›Full record

ArticleScientific reports2024

Integrating X-ray phase-contrast imaging and histology for comparative evaluation of breast tissue malignancies in virtual histology analysis.

Sandro Donato, Lucia Mariel Arana Peña, Fulvia Arfelli, Luca Brombal, Luisella Colmo, Renata Longo, Fulvia Martellani, Giuliana Tromba, Fabrizio Zanconati, Deborah Bonazza

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Quantitative Stain Mapping in X-Ray Virtual Histology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Frontiers in bioengineering and biotechnology · 2026
    Article
  5. Article
  6. Article
  7. 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

10 authors.

Sandro Donato *Department of Physics, University of Calabria, 87036, Rende, CS, Italy. sandro.donato@fis.unical.it.
Lucia Mariel Arana Peña *Department of Physics, University of Trieste, 34127, Trieste, Italy.
Fulvia ArfelliDepartment of Physics, University of Trieste, 34127, Trieste, Italy.
Luca BrombalDepartment of Physics, University of Trieste, 34127, Trieste, Italy.
Luisella ColmoUnit of Surgical Pathology of the Cattinara Hospital, Azienda Sanitaria Universitaria Giuliana Isontina (ASUGI), 34149, Trieste, Italy.
Renata LongoDepartment of Physics, University of Trieste, 34127, Trieste, Italy.
Fulvia MartellaniUnit of Surgical Pathology of the Cattinara Hospital, Azienda Sanitaria Universitaria Giuliana Isontina (ASUGI), 34149, Trieste, Italy.
Giuliana TrombaElettra-Sincrotrone Trieste S.C.p.A, 34149, Trieste, Italy.
Fabrizio ZanconatiUnit of Surgical Pathology of the Cattinara Hospital, Azienda Sanitaria Universitaria Giuliana Isontina (ASUGI), 34149, Trieste, Italy.
Deborah BonazzaUnit of Surgical Pathology of the Cattinara Hospital, Azienda Sanitaria Universitaria Giuliana Isontina (ASUGI), 34149, Trieste, Italy.

Funding

Ministero dell'Università e della Ricerca AIM: Attraction and International Mobility" - PON R&I 2014-2020 Calabria
6 · The paper itself

Abstract

Detecting breast tissue alterations is essential for cancer diagnosis. However, inherent bidimensionality limits histological procedures' effectiveness in identifying these changes. Our study applies a 3D virtual histology method based on X-ray phase-contrast microtomography (PhC

Indexed as

Breast NeoplasmsFemaleHistological TechniquesHumansImaging, Three-DimensionalMicroscopy, Phase-ContrastX-Ray MicrotomographyX-Rays

Identifiers

PMID38461221
PMCPMC10924917

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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.