Evidence map›Paper›PMID 41824274›Full record

ArticleUpdates in surgery2026

CT imaging is a feasible method for the preoperative prediction of the main pathologic response after neoadjuvant therapy for locally advanced esophageal squamous cell carcinoma.

Hang Zhou, Wen-Wei Wei, Jun-Peng Lin, Peng-Qiang Gao, Hao He, Shuo-Yan Liu, Feng Wang

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Article in Updates in surgery, 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.

Hang ZhouDepartment of Thoracic Oncology Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, No. 420 Fuma Road, Fuzhou, 350001, Fujian Province, China.
Wen-Wei WeiDepartment of Thoracic Oncology Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, No. 420 Fuma Road, Fuzhou, 350001, Fujian Province, China.
Jun-Peng LinDepartment of Thoracic Oncology Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, No. 420 Fuma Road, Fuzhou, 350001, Fujian Province, China.
Peng-Qiang GaoDepartment of Thoracic Oncology Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, No. 420 Fuma Road, Fuzhou, 350001, Fujian Province, China.
Hao HeDepartment of Thoracic Oncology Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, No. 420 Fuma Road, Fuzhou, 350001, Fujian Province, China.
Shuo-Yan LiuDepartment of Thoracic Oncology Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, No. 420 Fuma Road, Fuzhou, 350001, Fujian Province, China. shuoyanliu2010@163.com.
Feng WangDepartment of Thoracic Oncology Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, No. 420 Fuma Road, Fuzhou, 350001, Fujian Province, China. wfmd120@163.com.ORCID http://orcid.org/0000-0003-3036-6735

Funding

Fujian Association for Science and Technology 2023Y9424
6 · The paper itself

Abstract

The purpose of this study was to explore the feasibility of predicting the main pathologic response (MPR) after neoadjuvant therapy (NAT) for locally advanced esophageal squamous cell carcinoma (LAESCC) using computed tomography (CT) imaging. From January 2022 to December 2023, a retrospective study was conducted on 150 patients who underwent neoadjuvant therapy and radical resection of R0 esophageal cancer in our hospital. Before and after neoadjuvant therapy, the tumour volume (TV) was manually delineated using an enhanced CT image background processor combined with MIMINICS reconstruction software, and the tumour volume regression rate (TVRR) was calculated. Binary logistic regression was used to analyse the factors influencing the postoperative pathological MPR using univariate and multivariate analyses. Determine the predictive value of TVRR through the receiver operating characteristic curve. The mean baseline tumor volume regression ratio was 42.8% (± 22.0). Multivariate analysis revealed that the neoadjuvant therapy mode, tumour volume after neoadjuvant therapy (TV after NAT) and TVRR were independent factors affecting the postoperative pathological MPR. According to the receiver operating characteristic (ROC) analysis, the TVRR showed good predictive value for the postoperative pathological MPR (AUC = 0.828, sensitivity = 85.7%, specificity = 71.2%, p < 0.001), and the cut-off value determined by the Youden index was 42.61%. Subgroup analysis indicated that TVRR had good predictive efficacy for postoperative pathological MPR in different neoadjuvant treatment modes and various tumour locations in the thoracic segment. The TVRR before and after neoadjuvant therapy for esophageal squamous cell carcinoma is an independent factor influencing the postoperative pathological MPR and has good predictive efficacy.

Indexed as

Esophageal cancerMain pathologic responseNeoadjuvant treatmentPathological complete remissionTumour volume

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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.