Evidence map›Paper›PMID 40699289›Full record

ArticleAbdominal radiology (New York)2026

Contrast-enhanced CT-derived extracellular volume fraction in preoperative prediction of tumor-stroma ratio in colorectal cancer.

Yuting Zhang, Hongyu Zhang, Daming Li, Long Yuan, Liangna Deng, Tao Han, Mengyuan Jing, Chunyu Zhang, Bin Zhang, Junlin Zhou

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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. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Yuting Zhang *Lanzhou University Second Hospital, Lanzhou, China.
Hongyu Zhang *Lanzhou University Second Hospital, Lanzhou, China.
Daming Li *Gansu Provincial Hospital, Lanzhou, China.
Long YuanLanzhou University Second Hospital, Lanzhou, China.
Liangna DengLanzhou University Second Hospital, Lanzhou, China.
Tao HanLanzhou University Second Hospital, Lanzhou, China.
Mengyuan JingLanzhou University Second Hospital, Lanzhou, China.
Chunyu ZhangLanzhou University Second Hospital, Lanzhou, China.
Bin ZhangLanzhou University Second Hospital, Lanzhou, China.
Junlin ZhouLanzhou University Second Hospital, Lanzhou, China. ery_zhoujl@lzu.edu.cn.

Funding

"Cuiying Scientific and Technological Innovation" Program of the Second Hospital of Lanzhou University No. CY2021-ZD-01Natural Science Foundation of Gansu Province No. 22JR5RA972
6 · The paper itself

Abstract

objectivesThis study aimed to investigate the value of contrast-enhanced computed tomography (CECT)-derived extracellular volume (ECV) fraction for preoperative evaluation of tumor-stroma ratio (TSR) in colorectal cancer (CRC). MATERIALS AND

methodsWe retrospectively analyzed CRC patients who underwent CECT between July 2021 and July 2023. Patients were randomly allocated into a training cohort (n = 188) and a validation cohort (n = 78). Based on histopathological TSR score, patients were stratified into high-TSR (stroma proportion > 50%) and low-TSR (stroma proportion ≤ 50%) groups. Clinical characteristics and CECT parameters were compared and analyzed. Logistic regression analysis was conducted on the training cohort to identify independent predictors for high TSR. Predictive performance was assessed using receiver operating characteristic (ROC) curves, with area under the curve (AUC) differences compared using the Delong test.

resultsIn the training cohort, the high-TSR group showed significantly lower non-contrast CT value (CTpre) but higher equilibrium phase CT value (CT EP), the difference between venous phase CT value and CTpre (D-value), arterial phase CT enhancement rate (CER), and ECV fraction (all P < 0.05). The ECV fraction demonstrated the highest predictive performance (AUC = 0.808, 95% confidence interval [CI]: 0.745-0.872). CT EP and ECV fraction were identified as independent predictors for high TSR. A model combining ECV fraction and CT EP yielded AUCs of 0.811 (95% CI: 0.748-0.874) and 0.733 (95% CI: 0.623-0.843) in the training and validation cohorts, respectively, with no significant differences compared to the ECV fraction alone (all P > 0.05).

conclusionsThe ECV fraction serves as a reliable CECT biomarker for preoperative high TSR prediction in CRC, showing potential for noninvasive stroma evaluation and guiding individualized therapeutic strategies.

Indexed as

Colorectal NeoplasmsContrast MediaRadiographic Image EnhancementTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesContrast MediaColorectal cancer (CRC)Contrast-enhanced computed tomography (CECT)Extracellular volume (ECV) fractionTumor-stroma ratio (TSR)

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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.