ArticlePloS one2019
Correlation of CT texture changes with treatment response during radiation therapy for esophageal cancer: An exploratory study.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy.European journal of nuclear medicine and molecular imaging · 2022Pooled it
- A radiomics and machine learning-based method for dynamic assessment of tumor burden after neoadjuvant therapy in esophageal cancer.BMC cancer · 2026Article
- EZH2 suppresses IR-induced ferroptosis by forming a co-repressor complex with HIF-1α to inhibit ACSL4: Targeting EZH2 enhances radiosensitivity in KDM6A-deficient esophageal squamous carcinoma.Cell death and differentiation · 2025Article
- Hounsfield unit change in metastatic abdominal lymph nodes treated with combined hyperthermia and radiotherapy.PloS one · 2025Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo analyze the change of CT texture features of esophageal squamous cell carcinoma (ESC) during RT delivery and to correlate these changes with the RT responses and survival.
methodsA total of 61 ESC patients received radical RT were screened. Weekly CTs (4-6 sets for each patient) were acquired during RT. The tumors, normal esophageal mucosa tissue (NEC) of 5 cm and the spinal cord in the relevant area were delineated. CT texture features were extracted with a home-made tool. The changes of these features were analyzed by t-test. The correlations of the changes of features with RT responses and with patient survival were investigated by Pearson analysis.
resultsThe average changes were increased by 0.00072 ±0.00197 for coarseness, by 0.14 ±0.40 for entropy, and by 2.34 ±3.56 for strength. In addition, the average changes were reduced by 8.88 ±15.71cc for volume and by 0.07 ±0.11 for busyness. The changes of the coarseness, strength, STD and entropy in ESC were different for the good and poor response groups. The survival rate of the patients was significantly correlated with the change of coarseness and strength (P = 0.0027 and P = 0.0001).
conclusionsDuring RT, changes of CT texture features of ESC, e.g., coarseness, strength, STD, entropy and volume are correlated with radiation response and survival rate. With more clinical data and robust research, CT features, e.g., coarseness and strength, can be selected as outstanding imaging biomarkers for prediction of RT prognosis of ESC.
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