Evidence map›Paper›PMID 41514595›Full record

ArticleCancers2025

Potential of Higher Resolution Synchrotron Radiation Tomography Using Crystal Analyzer-Based Imaging Techniques for Differential Diagnosis of Human Lung Cancers.

Eunjue Yi, Naoki Sunaguchi, Jeong Hyeon Lee, Miyoung Woo, Youngjin Kang, Seung-Jun Seo, Daisuke Shimao, Sungho Lee

Abstract read
In one paragraph

Article in Cancers, 2025. 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

8 authors.

Eunjue YiDepartment of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea.ORCID 0000-0002-2403-6839
Naoki SunaguchiPhoton Factory, Institute of Materials Structure Science, High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan.
Jeong Hyeon LeeDepartment of Pathology, Korea University Anam Hospital, Seoul 02841, Republic of Korea.ORCID 0000-0003-2041-4617
Miyoung WooDepartment of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea.
Youngjin KangDepartment of Pathology, Korea University Anam Hospital, Seoul 02841, Republic of Korea.
Seung-Jun SeoDepartment of Experimental Animal Facility, Daegu Catholic University Medical Center, Daegu 42472, Republic of Korea.
Daisuke ShimaoDepartment of Radiological Sciences, School of Health Sciences, International University of Health and Welfare, Otawara 324-8501, Japan.
Sungho LeeDepartment of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea.

Funding

Korea University Anam Hospital K2211781Korea University Anam Hospital K2319681Korea University Anam Hospital O2515671National Research Foundation of Korea (NRF) 2020R1I1A1A01063314National Research Foundation of Korea (NRF) 2022R1I1A1A01068894National Research Foundation of Korea (NRF) RS-2025-16069169
6 · The paper itself

Abstract

backgroundConventional absorption-based computed tomography has a limited ability to resolve lung microarchitectures that are critical for histological subtype discrimination. This study evaluated the potential of X-ray Dark-Field Imaging Computed Tomography (XDFI CT) using synchrotron radiation for non-destructive, three-dimensional visualization of human lung cancer microstructures.

methodsSurgically resected human lung cancer specimens (

resultsSynchrotron radiation XDFI CT enabled clear visualization of normal distal lung microanatomy, including alveolar walls and associated vascular structures, which served as internal references adjacent to tumor regions. Distinct microstructural features-such as invasive growth patterns, fibrotic or keratinized stroma, necrosis, and treatment-related remodeling-were identifiable and varied according to histological subtype. Tumor-normal tissue transitional zones were consistently delineated in all specimens.

conclusionsSynchrotron radiation XDFI CT provides high-resolution, non-destructive volumetric imaging of lung cancer tissues and reveals subtype-associated microarchitectural features. This technique may complement conventional histopathology by enabling three-dimensional virtual histologic assessment of lung cancer specimens.

Indexed as

differential diagnosisearly-stage lung cancersynchrotron radiationvirtual histology

Identifiers

PMID41514595
PMCPMC12785047

What Socratic 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 Socratic graph.