Correlation of CT texture changes with treatment response during radiation therapy for esophageal cancer: An exploratory study

Autoři: Zhumin Yan aff001;  Jingqiao Zhang aff002;  Hai Long aff001;  Xueming Sun aff001;  Dingjie Li aff001;  Tian Tang aff001;  X. Allen Li aff003;  Wu Hui aff001
Působiště autorů: Department of Radiation Oncology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China aff001;  Department of Radiation Oncology, New York Proton Center, New York, New York, United States of America aff002;  Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America aff003
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0223140



To 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.


A 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.


The 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).


During 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.

Klíčová slova:

Cancer treatment – Carcinomas – Computed axial tomography – Entropy – Lung and intrathoracic tumors – Oncology – Radiation therapy – Malignant tumors


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Článek vyšel v časopise


2019 Číslo 9