Evidence map›Paper›PMID 41356426›Full record

ArticleCancer management and research2025

Correlation of 18F-FDG PET/CT SUV with Colon Cancer Aggressiveness and Superior Diagnostic Performance Over CT for Lymph Node Metastasis: A Retrospective Analysis.

Haibo Chen, Yuqi Chen, Yaqi Feng, Yanqiong He, Yan Xu, Yushuang Qin, Peng Wang

Abstract read
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Article in Cancer management and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haibo ChenDepartment of Nuclear Medicine, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, 443003, People's Republic of China.
Yuqi ChenDepartment of Nuclear Medicine, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, 443003, People's Republic of China.
Yaqi FengDepartment of Nuclear Medicine, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, 443003, People's Republic of China.
Yanqiong HeDepartment of Nuclear Medicine, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, 443003, People's Republic of China.
Yan XuDepartment of Nuclear Medicine, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, 443003, People's Republic of China.
Yushuang QinDepartment of Nuclear Medicine, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, 443003, People's Republic of China.
Peng WangDepartment of Nuclear Medicine, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, 443003, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the relationship between the standardized uptake value (SUV) derived from 18F-FDG PET/CT imaging and the clinical characteristics of colon cancer, and to evaluate its diagnostic performance relative to CT imaging in identifying lymph node metastasis. Methods: A retrospective analysis was conducted on 113 patients with pathologically confirmed primary colon cancer. All patients underwent preoperative 18F-FDG PET/CT and CT examinations. The SUV of the primary lesion was measured. Patients were grouped based on clinicopathological features, and differences in SUV across groups were analyzed. The diagnostic efficacy of PET/CT and CT for lymph node metastasis was evaluated using receiver operating characteristic (ROC) curves, with pathology as the gold standard. Results: The lesion SUV was not significantly related to sex, age, lesion location, CA199, or CA242 (P > 0.05). However, it was significantly associated with maximum lesion diameter (P < 0.001), AJCC stage (P = 0.001), pathological type (P < 0.001), differentiation grade (P < 0.001), lymph node metastasis (P < 0.001), and CEA expression (P < 0.001). Spearman correlation analysis showed that SUV was positively correlated with these significant parameters (all P < 0.05). For diagnosing lymph node metastasis, the area under the curve (AUC) for 18F-FDG PET/CT imaging was 0.943, which was significantly higher than that for CT imaging (0.836) (Z = 3.965, P < 0.05), with superior sensitivity and specificity. Conclusion: SUV values on 18F-FDG PET/CT are positively correlated with key indicators of tumor aggressiveness in colon cancer, including tumor size, stage, differentiation grade, and lymph node metastasis. 18F-FDG PET/CT demonstrates significantly better diagnostic performance than CT alone for the detection of lymph node metastasis.

Indexed as

18F-FDG PET/CTclinical featurescolon cancerdiagnostic efficacySUV

Identifiers

PMID41356426
PMCPMC12676136

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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 Socratic graph.