Evidence map›Paper›PMID 40877701›Full record

ArticleJournal of gastrointestinal cancer2025

Predictive Value of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve for Survival in Patients with Esophageal Cancer Following Esophagectomy.

Xiaoqin Chen, Xiongmu Tan, Yushang Yang, Linyan Huang, Simeng Wang, Yinqiu Wang, Xueting Pang, Shenmei Liu, Yong Yuan, Liqing Peng

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Article in Journal of gastrointestinal cancer, 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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10 authors.

Xiaoqin Chen *Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiongmu Tan *Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yushang YangDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Linyan HuangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Simeng WangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yinqiu WangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xueting PangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shenmei LiuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yong YuanDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China. yongyuan@scu.edu.cn.
Liqing PengDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. pengliqing@wchscu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to assess the predictive value of CT-FFR on survival in patients with esophageal carcinoma (EC) after esophagectomy.

methodsFive hundred and eighty patients with EC who had coronary computed tomography angiography (CCTA) and esophagectomy from January 2012 to September 2023 were included in this study. The lesion-specific fractional flow reserve (FFR) was derived from CCTA. The 580 post-esophagectomy EC patients were divided into two groups: CT-FFR > 0.80 (n = 406) and CT-FFR ≤ 0.80 (n = 174). Propensity score matching (PSM) analysis was used to control for confounding factors. Overall survival (OS) was estimated using Kaplan-Meier curves and Cox proportional hazards models based on univariate and multivariate screening of variables.

resultsThe CT-FFR ≤ 0.80 group had a higher proportion of males, more patients with coronary artery calcium score (CACS) ≥ 100, lower tumor stages, a higher proportion of patients receiving neoadjuvant therapy, and a higher proportion of patients undergoing full laparoscopy surgery (all p < 0.05). After PSM, the two matched groups of patients had similar characteristics. In our Cox regression model, CT-FFR ≤ 0.80 was an independent factor associated with OS (HR: 1.37; 95% CI: 1.038-1.818; p = 0.026) compared to CT-FFR > 0.80. The results after PSM still showed that CT-FFR ≤ 0.80 was an independent factor associated with OS (HR: 1.43; 95% CI: 1.022-2.009; p = 0.037) compared to CT-FFR > 0.80.

conclusionCT-FFR is found to be a valuable imaging marker in predicting outcomes of EC patients following esophagectomy. Specifically, a CT-FFR ≤ 0.80 is associated with poorer survival outcomes in EC patients. This underscores the incremental prognostic value of CT-FFR in predicting survival outcomes among post-esophagectomy patients.

Indexed as

Computed Tomography AngiographyEsophageal NeoplasmsEsophagectomyFractional Flow Reserve, MyocardialAgedFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsPrognosisPropensity ScoreRetrospective StudiesCoronary Computed Tomography AngiographyEsophageal CancerFractional Flow ReserveOverall SurvivalPropensity Score Matching

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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.