Literature DB >> 25832695

Computed tomography number changes observed during computed tomography-guided radiation therapy for head and neck cancer.

Mei Feng1, Cungeng Yang2, Xiaojian Chen2, Shouping Xu2, Ion Moraru2, Jinyi Lang3, Christopher Schultz2, X Allen Li4.   

Abstract

PURPOSE: To investigate CT number (CTN) changes in gross tumor volume (GTV) and organ at risk (OAR) according to daily diagnostic-quality CT acquired during CT-guided intensity modulated radiation therapy for head and neck cancer (HNC) patients. METHODS AND MATERIALS: Computed tomography scans acquired using a CT-on-rails during daily CT-guided intensity modulated radiation therapy for 15 patients with stage II to IVa squamous cell carcinoma of the head and neck were analyzed. The GTV, parotid glands, spinal cord, and nonspecified tissue were generated on each selected daily CT. The changes in CTN distributions and the mean and mode values were collected. Pearson analysis was used to assess the correlation between the CTN change, organ volume reduction, and delivered radiation dose.
RESULTS: Volume and CTN changes for GTV and parotid glands can be observed during radiation therapy delivery for HNC. The mean (±SD) CTNs in GTV and ipsi- and contralateral parotid glands were reduced by 6 ± 10, 8 ± 7, and 11 ± 10 Hounsfield units, respectively, for all patients studied. The mean CTN changes in both spinal cord and nonspecified tissue were almost invisible (<2 Hounsfield units). For 2 patients studied, the absolute mean CTN changes in GTV and parotid glands were strongly correlated with the dose delivered (P<.001 and P<.05, respectively). For the correlation between CTN reductions and delivered isodose bins for parotid glands, the Pearson coefficient varied from -0.98 (P<.001) in regions with low-dose bins to 0.96 (P<.001) in high-dose bins and were patient specific.
CONCLUSIONS: The CTN can be reduced in tumor and parotid glands during the course of radiation therapy for HNC. There was a fair correlation between CTN reduction and radiation doses for a subset of patients, whereas the correlation between CTN reductions and volume reductions in GTV and parotid glands were weak. More studies are needed to understand the mechanism for the radiation-induced CTN changes.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25832695     DOI: 10.1016/j.ijrobp.2014.12.057

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  14 in total

Review 1.  NCTN Assessment on Current Applications of Radiomics in Oncology.

Authors:  Ke Nie; Hania Al-Hallaq; X Allen Li; Stanley H Benedict; Jason W Sohn; Jean M Moran; Yong Fan; Mi Huang; Michael V Knopp; Jeff M Michalski; James Monroe; Ceferino Obcemea; Christina I Tsien; Timothy Solberg; Jackie Wu; Ping Xia; Ying Xiao; Issam El Naqa
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-01-31       Impact factor: 7.038

2.  Radiation-induced CT number changes in GTV and parotid glands during the course of radiation therapy for nasopharyngeal cancer.

Authors:  Shouping Xu; Zhaoxia Wu; Cungeng Yang; Lin Ma; Baolin Qu; Guangpei Chen; Weirong Yao; Shi Wang; Yaqiang Liu; X Allen Li
Journal:  Br J Radiol       Date:  2016-04-01       Impact factor: 3.039

3.  Early Changes in Serial CBCT-Measured Parotid Gland Biomarkers Predict Chronic Xerostomia After Head and Neck Radiation Therapy.

Authors:  Benjamin S Rosen; Peter G Hawkins; Daniel F Polan; James M Balter; Kristy K Brock; Justin D Kamp; Christina M Lockhart; Avraham Eisbruch; Michelle L Mierzwa; Randall K Ten Haken; Issam El Naqa
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-07-10       Impact factor: 7.038

4.  Early prediction of acute xerostomia during radiation therapy for nasopharyngeal cancer based on delta radiomics from CT images.

Authors:  Yanxia Liu; Hongyu Shi; Sijuan Huang; Xiaochuan Chen; Huimin Zhou; Hui Chang; Yunfei Xia; Guohua Wang; Xin Yang
Journal:  Quant Imaging Med Surg       Date:  2019-07

5.  Estimation of changing gross tumor volume from longitudinal CTs during radiation therapy delivery based on a texture analysis with classifier algorithms: a proof-of-concept study.

Authors:  Diane Schott; Taly Gilat Schmidt; William Hall; Paul Knechtges; George Noid; Slade Klawikowski; Beth Erickson; X Allen Li
Journal:  Quant Imaging Med Surg       Date:  2019-07

6.  Intensity-Modulated Proton Therapy Adaptive Planning for Patients with Oropharyngeal Cancer.

Authors:  Richard Y Wu; Amy Y Liu; Terence T Sio; Pierre Blanchard; Cody Wages; Mayankkumar V Amin; Gary B Gunn; Uwe Titt; Rong Ye; Kazumichi Suzuki; Michael T Gillin; Xiaorong R Zhu; Radhe Mohan; Steven J Frank
Journal:  Int J Part Ther       Date:  2017-12-28

7.  Assessment of treatment response during chemoradiation therapy for pancreatic cancer based on quantitative radiomic analysis of daily CTs: An exploratory study.

Authors:  Xiaojian Chen; Kiyoko Oshima; Diane Schott; Hui Wu; William Hall; Yingqiu Song; Yalan Tao; Dingjie Li; Cheng Zheng; Paul Knechtges; Beth Erickson; X Allen Li
Journal:  PLoS One       Date:  2017-06-02       Impact factor: 3.240

8.  In-vivo Comparison of 18F-FLT uptake, CT Number, Tumor Volume in Evaluation of Repopulation during Radiotherapy for Lung cancer.

Authors:  Xiaoli Zhang; Jinming Yu; Chengming Li; Xindong Sun; Xue Meng
Journal:  Sci Rep       Date:  2017-04-07       Impact factor: 4.379

9.  Structural Variations in Parotid Glands Induced by Radiation Therapy in Patients with Oral Carcinoma Observed on Contrast-Enhanced Computed Tomography.

Authors:  Ichiro Ogura; Yoshihiko Sasaki; Takaaki Oda; Mikiko Sue; Haruka Yamaguchi; Ayako Kameta; Kazuhide Hayama; Makoto Tsuchimochi
Journal:  Pol J Radiol       Date:  2017-09-15

10.  The Value of CBCT-based Tumor Density and Volume Variations in Prediction of Early Response to Chemoradiation Therapy in Advanced NSCLC.

Authors:  Qiang Wen; Jian Zhu; Xue Meng; Changsheng Ma; Tong Bai; Xindong Sun; Jinming Yu
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

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