Evidence map›Paper›PMID 42432002›Full record

ArticleScientific reports2026

X-ray histology on rapidly fixed fresh tumor tissue samples for fast resection margin assessment.

Jenny Romell, Carlos Fernandez Moro, Bertha Brodin, Laszlo Szekely, Edvin Porovic, Panagiotis Tsagkozis, Ernesto Sparrelid, Mikael Björnstedt, Hans M Hertz

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jenny Romell *Dept. of Applied Physics, KTH Royal Inst of Technology/Albanova, 10691, Stockholm, Sweden.
Carlos Fernandez Moro *Department of Clinical Pathology and Cancer Diagnostics, F46 Karolinska University Hospital, 141 86, Stockholm, Sweden.
Bertha BrodinDept. of Applied Physics, KTH Royal Inst of Technology/Albanova, 10691, Stockholm, Sweden.
Laszlo SzekelyDepartment of Clinical Pathology and Cancer Diagnostics, F46 Karolinska University Hospital, 141 86, Stockholm, Sweden.
Edvin PorovicDepartment of Clinical Pathology and Cancer Diagnostics, F46 Karolinska University Hospital, 141 86, Stockholm, Sweden.
Panagiotis TsagkozisDepartment of Acute and Reparative Medicine, Karolinska University Hospital, Stockholm, Sweden.
Ernesto SparrelidDivision of Surgery and Oncology, Department of Clinical Science, Intervention and Technology, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Mikael BjörnstedtDepartment of Clinical Pathology and Cancer Diagnostics, F46 Karolinska University Hospital, 141 86, Stockholm, Sweden.
Hans M HertzDept. of Applied Physics, KTH Royal Inst of Technology/Albanova, 10691, Stockholm, Sweden. hertz@biox.kth.se.ORCID 0000-0003-2723-6622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of the resection margin is of key importance for patient outcome after tumor surgery. Intraoperative assessment is preferable but present methods like fresh-frozen sectioning risk sampling errors and provide only 2D information. Classical 2D histology has better quality but is too slow for intraoperative feedback. In the present proof-of-concept study we show that laboratory x-ray histology based on propagation-based phase-contrast microtomography has potential for 3D intraoperative resection margin assessment. Our system includes a liquid-metal-jet high-brightness microfocus source, precision stages and a high-resolution detector, providing fast, high-contrast, near-cellular-resolution 3D imaging. The tissue is prepared by rapid acetone fixation before the 3D x-ray imaging. We demonstrate the method on several tumor types in liver and pancreas, as well as on different sarcomas. After the x-ray histology, classical histology was performed on the same samples for comparison. The two methods compare excellently on the liver and pancreas samples and reasonably on the morphologically more difficult sarcomas. The imaging currently takes 4-5 h with our prototype instrument, and we outline how to go below 1 h for the full procedure. We conclude that 3D x-ray histology can be developed to provide intraoperative resection margin assessment.

Indexed as

Imaging, Three-DimensionalLiver NeoplasmsMargins of ExcisionPancreatic NeoplasmsSarcomaX-Ray MicrotomographyHumansTissue FixationPhase contrastResection margin assessmentX-ray histology

Identifiers

PMID42432002
PMCPMC13354771

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.