Evidence map›Paper›PMID 38627864›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

Relationship of FDG PET/CT imaging features with tumor immune microenvironment and prognosis in colorectal cancer: a retrospective study.

Jeong Won Lee, Hyein Ahn, Ik Dong Yoo, Sun-Pyo Hong, Moo-Jun Baek, Dong Hyun Kang, Sang Mi Lee

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% of its field
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 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Multi-Organ metabolic profiling with [European journal of nuclear medicine and molecular imaging · 2025
    Article
  3. Predictive value of [European radiology · 2025
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  4. Predictive value ofQuantitative imaging in medicine and surgery · 2025
    Article
  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

7 authors at 2 institutions in 1 country.

Jeong Won Lee *Department of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam- gu, 31151, Cheonan, Korea.
Hyein Ahn *Department of Pathology, CHA Gangnam Medical Center, CHA University School of Medicine, 569 Nonhyon-ro, Gangnam-gu, 06135, Seoul, Korea.
Ik Dong YooDepartment of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam- gu, 31151, Cheonan, Korea.
Sun-Pyo HongDepartment of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam- gu, 31151, Cheonan, Korea.
Moo-Jun BaekDepartment of Surgery, College of Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6- gil, Dongnam-gu, 31151, Cheonan, Korea.
Dong Hyun KangDepartment of Colorectal surgery, College of Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, 31151, Cheonan, Korea.
Sang Mi LeeDepartment of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam- gu, 31151, Cheonan, Korea. c91300@schmc.ac.kr.
Soonchunhyang University · KRCHA University · KR

Funding

National Research Foundation of Korea (NRF) NRF-2022R1C1C1002705Soonchunhyang University Soonchunhyang University Research Fund
6 · The paper itself

Abstract

backgroundImaging features of colorectal cancers on 2-deoxy-2-[

methodsA total of 119 patients with colorectal cancer who underwent FDG PET/CT for staging work-up and received curative surgical resection were retrospectively enrolled. From PET/CT images, 10 first-order imaging features of primary tumors, including intensity of FDG uptake, volumetric metabolic parameters, and metabolic heterogeneity parameters, as well as FDG uptake in the bone marrow and spleen were measured. The degrees of CD4+, CD8+, and CD163 + cell infiltration and interleukin-6 (IL-6) and matrix metalloproteinase-11 (MMP-11) expression were graded through immunohistochemical analysis of surgical specimens. The relationship between FDG PET/CT imaging features and immunohistochemical results was assessed, and prognostic significance of PET/CT imaging features in predicting RFS was evaluated.

resultsCorrelation analysis with immunohistochemistry findings showed that the degrees of CD4 + and CD163 + cell infiltration and IL-6 and MMP-11 expression were correlated with cancer imaging features on PET/CT. Patients with enhanced inflammatory response in cancer tissue demonstrated increased FDG uptake, volumetric metabolic parameters, and metabolic heterogeneity. FDG uptake in the bone marrow and spleen was positively correlated with the degree of CD163 + cell infiltration and IL-6 expression, respectively. In multivariate survival analysis, the coefficient of variation of FDG uptake in the tumor (p = 0.019; hazard ratio, 0.484 for 0.10 increase) and spleen-to-liver uptake ratio (p = 0.020; hazard ratio, 24.901 for 1.0 increase) were significant independent predictors of RFS.

conclusionsThe metabolic heterogeneity of tumors and FDG uptake in the spleen were correlated with tumor immune microenvironment and showed prognostic significance in predicting RFS in patients with colorectal cancer.

Indexed as

Colorectal NeoplasmsPositron Emission Tomography Computed TomographyFluorodeoxyglucose F18HumansInterleukin-6Matrix Metalloproteinase 11PrognosisRadiopharmaceuticalsRetrospective StudiesTumor MicroenvironmentFluorodeoxyglucose F18Interleukin-6Matrix Metalloproteinase 11RadiopharmaceuticalsColorectal cancerF-18 fluorodeoxyglucoseImmune microenvironmentPositron emission tomographyPrognosis

Identifiers

PMID38627864
PMCPMC11020988
OpenAlexW4394848630

What OpenQuestion holds

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LicenceCC BY
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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.