Evidence map›Paper›PMID 41369899›Full record

ArticleAbdominal radiology (New York)2026

Differentiation of tumor budding grade in colon cancer using noise-optimized virtual monoenergetic image in dual-energy CT.

Changjiu He, Chuanyang Shao, Jieke Liu, Haomiao Qing, Peng Zhou, Xiaoli Chen, Xiaolei Dong

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Article in Abdominal radiology (New York), 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Changjiu HeDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Chuanyang Shao *Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Jieke LiuDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Haomiao QingDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Peng ZhouDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Xiaoli Chen *Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China. 20shenbaise@163.com.
Xiaolei DongDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China. 37604678@qq.com.

Funding

Beijing Medical and Health Public Welfare Foundation YWJKJJHKYJJ-KCYX2025001Excellent Youth Fund of Sichuan Cancer Hospital YB2025018
6 · The paper itself

Abstract

objectiveTo evaluate the value of noise-optimized virtual monoenergetic image (VMI+) in dual-energy CT (DECT) in predicting tumor budding (TB) grade in colon cancer.

methodsSeventy-six patients with pathologically confirmed colon cancer who underwent contrast-enhanced DECT were retrospectively enrolled and were divided into low/intermediate-grade TB (n = 52) and high-grade TB groups (n = 24). The contrast-to-noise ratio (CNR), overall image quality, and lesion delineation were evaluated on VMI+ (40-0 keV with an interval of 10 keV). The DECT quantitative parameters were analyzed, including attenuation of VMI+, iodine concentration (IC), normalized IC (NIC), electron density (Rho), and effective atomic number (Zeff). The diagnostic performance in differentiating TB grade in colon cancer was evaluated using the area under the curve (AUC).

results40 keV, 50 keV, and 60 keV showed good diagnostic performance in differentiating TB grade (AUC: 0.825, 0.833, and 0.843; sensitivity: 0.708, 0.708, and 0.750; specificity: 0.904, 0.904, and 0.846; cutoff value: 179.5 HU, 129.9 HU, and 101.2 HU) and had significantly higher AUC than IC (0.770), NIC (0.647), Rho (0.642), and Zeff (0.785) (all P < 0.05). 40 keV had the best lesion delineation and provided significantly higher CNR than other VMI + levels, while 60 keV provided better overall image quality than other VMI + levels (all corrected P < 0.05).

conclusionsThe DECT-derived low-keV VMI+ (40 keV, 50 keV, and 60 keV) provided better diagnostic performance in differentiating TB grade in colon cancer. 40 keV showed better CNR and lesion delineation, while 60 keV provided better overall image quality.

Indexed as

Colonic NeoplasmsRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedAdultAgedAged, 80 and overContrast MediaDiagnosis, DifferentialFemaleHumansMaleMiddle AgedNeoplasm GradingRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesSensitivity and SpecificityContrast MediaColon cancerDual-energy CT (DECT)Image qualityNoise-optimized virtual monoenergetic image (VMI+)Tumor budding (TB)

Identifiers

PMID41369899

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