Evidence map›Paper›PMID 42429583›Full record

ArticleRadiology. Imaging cancer2026

Deciphering Colorectal Liver Metastasis Perfusion Heterogeneity: Identification of Distinct Vascular Phenotypes through High-Lateral-Resolution Photoacoustic Microscopy.

Kuanhong Wang, Chenyi Xie, Manqi Wu, Shihan Kang, Kedi Xiong, Yingying Guo, Xue Wei, Hengxiao Hu, Yajun Liu, Jingfan Zhan and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Imaging cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Kuanhong Wang *Department of Radiology, School of Medicine, the Second Affiliated Hospital of South China University of Technology (Guangzhou First People's Hospital), No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China.ORCID 0009-0009-8166-9411
Chenyi Xie *Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0001-7399-6425
Manqi WuMOE Key Laboratory of Laser Life Science Institute of Laser Life Science, South China Normal University, Guangzhou, China.
Shihan KangMOE Key Laboratory of Laser Life Science Institute of Laser Life Science, South China Normal University, Guangzhou, China.
Kedi XiongMOE Key Laboratory of Laser Life Science Institute of Laser Life Science, South China Normal University, Guangzhou, China.
Yingying GuoDepartment of Radiology, School of Medicine, the Second Affiliated Hospital of South China University of Technology (Guangzhou First People's Hospital), No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China.
Xue WeiDepartment of Pharmacy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hengxiao HuDepartment of Radiology, School of Medicine, the Second Affiliated Hospital of South China University of Technology (Guangzhou First People's Hospital), No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China.
Yajun LiuDepartment of Radiology, School of Medicine, the Second Affiliated Hospital of South China University of Technology (Guangzhou First People's Hospital), No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China.
Jingfan ZhanDepartment of Radiology, School of Medicine, the Second Affiliated Hospital of South China University of Technology (Guangzhou First People's Hospital), No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China.
Yulu HouDepartment of Radiology, School of Medicine, the Second Affiliated Hospital of South China University of Technology (Guangzhou First People's Hospital), No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China.
Zaiyi LiuDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-9307-8522
Ting Guo *Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xin Chen *Department of Radiology, School of Medicine, the Second Affiliated Hospital of South China University of Technology (Guangzhou First People's Hospital), No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China.ORCID 0000-0002-3873-9041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To develop a photoacoustic microscopy (PAM) method for classifying colorectal liver metastasis (CRLM) microvascular networks as angiogenesis-type or vessel co-option-type at different metastatic stages and to evaluate their responses to bevacizumab. Materials and Methods Seventy-two BALB/c nude mice received intrasplenic injections of HCT116-luc or HT29-luc cells to establish CRLM models. PAM was used to visualize CRLM vascular architecture, and its diagnostic accuracy was validated through histopathologic analysis. Intergroup differences in PAM parameters were assessed with one-way analysis of variance or independent-samples

Indexed as

Colorectal NeoplasmsLiver NeoplasmsMicroscopyNeovascularization, PathologicPhotoacoustic TechniquesAngiogenesis InhibitorsAnimalsBevacizumabFemaleHumansMiceMice, Inbred BALB CMice, NudePhenotypeAngiogenesis InhibitorsBevacizumabAngiogenesisBevacizumabColorectal CancerHistopathologic Growth PatternLiver MetastasesPhotoacoustic ImagingPhotoacoustic MicroscopyVessel Co-Option

Identifiers

PMID42429583
PMCPMC13435130

What OpenQuestion holds

Textmetadata
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.