Evidence map›Paper›PMID 42138774›Full record

ArticleInsights into imaging2026

Parameters of dual-layer spectral detector CT for differentiating pathological types of colorectal adenocarcinoma.

Sisi Huang, Dongping Jiang, Shuang Tang, Yuquan Zheng, Shuwen Zheng, Xiaomin Liu, Yuting Liao, Lili Feng, Shanshan Lian

Abstract read
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Article in Insights into imaging, 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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5 · Who and what money

Authors and funding

9 authors.

Sisi Huang *Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Dongping Jiang *Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Shuang Tang *Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Yuquan ZhengDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Shuwen ZhengDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Xiaomin LiuClinical & Technical Solutions, Philips Healthcare, Guangzhou, P. R. China.
Yuting LiaoClinical & Technical Solutions, Philips Healthcare, Guangzhou, P. R. China.
Lili FengDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China. fengll2@sysucc.org.cn.
Shanshan LianDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China. lianshsh@sysucc.org.cn.ORCID http://orcid.org/0000-0003-3106-3680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the diagnostic performance of quantitative parameters derived from Dual-layer spectral detector CT (DLCT) in distinguishing between mucinous adenocarcinoma (MC) and adenocarcinoma not otherwise specified (AC) in colorectal adenocarcinoma (CRAC). MATERIALS AND

methodsPatients with pathologically confirmed CRAC who underwent preoperative DLCT scanning were enrolled in this retrospective study from May 2022 to September 2024. A propensity score-matching (PSM) approach was employed to balance the important patient characteristics between the MC group and the AC group. DLCT quantitative parameters were compared between the MC and AC groups, and a multifactorial binary logistic stepwise forward regression analysis was conducted to identify independent factors. Receiver operating characteristic (ROC) curves were utilized to evaluate diagnostic efficacy.

resultsA total of 260 patients were enrolled in this study. Following PSM, 23 patients with MC and 23 patients with AC were included in the analysis. All DLCT parameters were significantly lower in patients with MC compared to those with AC (all p < 0.01). Electron density (OR = 0.007, 95% CI: 0.000-0.295) and normalized iodine concentration (OR = 0.000, 95% CI: 0.000-0.067) in the venous phase were identified as independent predictors associated with different histopathological types. The combination of these two spectral parameters demonstrated significantly superior diagnostic efficacy compared to conventional CT attenuation values (p < 0.05), achieving an area under the curve of 0.949, with a sensitivity of 87.0% and a specificity of 91.3%.

conclusionsQuantitative spectral parameters derived from DLCT can effectively differentiate MC from AC preoperatively, exhibiting excellent diagnostic efficacy. CRITICAL RELEVANCE STATEMENT: DLCT is a reliable diagnostic tool to preoperatively differentiate pathological types of colorectal cancer, thereby facilitating personalized treatment strategies. KEY POINTS: This study investigated the value of dual-layer spectral CT (DLCT) in differentiating the pathological types of colorectal cancer. Quantitative spectral parameters demonstrated excellent accuracy in the diagnosis of mucinous adenocarcinoma. Preoperative DLCT can help clinicians in formulating personalized treatment strategies.

Indexed as

Colorectal cancerComputed tomographyDual energyMucinous carcinoma

Identifiers

PMID42138774
PMCPMC13179393

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