Literature DB >> 22957638

Ultrasound GLCM texture analysis of radiation-induced parotid-gland injury in head-and-neck cancer radiotherapy: an in vivo study of late toxicity.

Xiaofeng Yang1, Srini Tridandapani, Jonathan J Beitler, David S Yu, Emi J Yoshida, Walter J Curran, Tian Liu.   

Abstract

PURPOSE: Xerostomia (dry mouth), secondary to irradiation of the parotid glands, is one of the most common side effects of head-and-neck cancer radiotherapy. Diagnostic tools able to accurately and efficiently measure parotid gland injury have yet to be introduced into the clinic. This study's purpose is to investigate sonographic textural features as potential imaging signatures for quantitative assessment of parotid-gland injury after head-and-neck radiotherapy.
METHODS: The authors have investigated a series of sonographic features obtained from the gray level co-occurrence matrix (GLCM) - a second order statistical method of texture analysis. These GLCM textural features were selected based on empirical observations that the normal parotid gland exhibits homogeneous echotexture, whereas the postradiotherapy parotid gland often exhibits heterogeneous echotexture. We employed eight sonographic features: (1) angular second moment (ASM), (2) inverse differential moment (IDM), (3) contrast, (4) variance, (5) correlation, (6) entropy, (7) cluster shade, and (8) cluster prominence. Altogether, sonographic properties of the parotid glands were quantified by their degrees of homogeneity (ASM and IDM), heterogeneity (contrast and variance), smoothness (correlation), randomness (entropy), and symmetry (cluster shade and prominence). The sonographic features were tested in a pilot study of 12 postradiotherapy patients and 7 healthy volunteers. The mean follow-up time for the postradiotherapy patients was 17.2 months (range: 12.1-23.9 months) and the mean radiation dose to the parotid glands was 32.3 Gy (range: 11.0-63.4 Gy). Each participant underwent one ultrasound study in which longitudinal (vertical) ultrasound scans were performed on the bilateral parotids - a total of 24 postirradiation and 14 normal parotid glands were examined. The 14 normal parotid glands served as the control group. A radiologist contoured the parotid glands on the B-mode images and the sonographic features were computed from the contoured region-of-interest.
RESULTS: The authors observed significant differences (p < 0.05) in all sonographic features between the normal and postradiotherapy parotid glands. The sonographic findings were consistent with the clinical observations of the ultrasound images: normal parotid glands exhibited homogeneous texture, while the postradiotherapy parotid glands exhibited heterogeneous echotexture (e.g., hyperechoic lines and spots), which likely represents fibrosis.
CONCLUSIONS: The authors have demonstrated the feasibility of ultrasonic texture evaluation of parotid glands; and the sonographic features may serve as imaging signatures to assess radiation-induced parotid injury.

Entities:  

Mesh:

Year:  2012        PMID: 22957638      PMCID: PMC3443195          DOI: 10.1118/1.4747526

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  39 in total

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Authors:  Gaurang V Shah
Journal:  Magn Reson Imaging Clin N Am       Date:  2002-11       Impact factor: 2.266

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Authors:  M Unser
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3.  Ultrastructural morphometry of parotid acinar cells following fractionated irradiation.

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Journal:  Oral Oncol       Date:  1997-01       Impact factor: 5.337

4.  Breast cancer diagnosis using self-organizing map for sonography.

Authors:  D Chen; R F Chang; Y L Huang
Journal:  Ultrasound Med Biol       Date:  2000-03       Impact factor: 2.998

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Authors:  J S Cooper; K Fu; J Marks; S Silverman
Journal:  Int J Radiat Oncol Biol Phys       Date:  1995-03-30       Impact factor: 7.038

6.  Texture analysis of ultrasound B-mode images by segmentation.

Authors:  G E Mailloux; M Bertrand; R Stampfler; S Ethier
Journal:  Ultrason Imaging       Date:  1984-07       Impact factor: 1.578

7.  Complexity curve and grey level co-occurrence matrix in the texture evaluation of breast tumor on ultrasound images.

Authors:  André Victor Alvarenga; Wagner C A Pereira; Antonio Fernando C Infantosi; Carolina M Azevedo
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

8.  MRI appearance of radiation-induced changes of normal cervical tissues.

Authors:  A Nömayr; M Lell; R Sweeney; W Bautz; P Lukas
Journal:  Eur Radiol       Date:  2001       Impact factor: 5.315

9.  Radiation injury of the parotid glands during treatment for head and neck cancer: assessment using dynamic contrast-enhanced MR imaging.

Authors:  Francis Kar-ho Lee; Ann Dorothy King; Michael Koon-ming Kam; Brigette Buig-yue Ma; David Ka-wai Yeung
Journal:  Radiat Res       Date:  2011-01-10       Impact factor: 2.841

10.  Radiation-induced xerostomia: objective evaluation of salivary gland injury using MR sialography.

Authors:  A Wada; N Uchida; M Yokokawa; T Yoshizako; H Kitagaki
Journal:  AJNR Am J Neuroradiol       Date:  2008-10-08       Impact factor: 3.825

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  40 in total

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Authors:  Thomas Perrin; Abhishek Midya; Rikiya Yamashita; Jayasree Chakraborty; Tome Saidon; William R Jarnagin; Mithat Gonen; Amber L Simpson; Richard K G Do
Journal:  Abdom Radiol (NY)       Date:  2018-12

2.  Pre-treatment magnetic resonance-based texture features as potential imaging biomarkers for predicting event free survival in anal cancer treated by chemoradiotherapy.

Authors:  Arnaud Hocquelet; Thibaut Auriac; Cynthia Perier; Clarisse Dromain; Marie Meyer; Jean-Baptiste Pinaquy; Alban Denys; Hervé Trillaud; Baudouin Denis De Senneville; Véronique Vendrely
Journal:  Eur Radiol       Date:  2018-02-05       Impact factor: 5.315

Review 3.  Texture analysis of medical images for radiotherapy applications.

Authors:  Elisa Scalco; Giovanna Rizzo
Journal:  Br J Radiol       Date:  2016-11-25       Impact factor: 3.039

4.  Computer-Assisted Diagnosis System for Breast Cancer in Computed Tomography Laser Mammography (CTLM).

Authors:  Afsaneh Jalalian; Syamsiah Mashohor; Rozi Mahmud; Babak Karasfi; M Iqbal Saripan; Abdul Rahman Ramli
Journal:  J Digit Imaging       Date:  2017-12       Impact factor: 4.056

5.  Ultrasonic Nakagami-parameter characterization of parotid-gland injury following head-and-neck radiotherapy: a feasibility study of late toxicity.

Authors:  Xiaofeng Yang; Srini Tridandapani; Jonathan J Beitler; David S Yu; Ning Wu; Yuefeng Wang; Deborah W Bruner; Walter J Curran; Tian Liu
Journal:  Med Phys       Date:  2014-02       Impact factor: 4.071

6.  A quantitative method for measurement of HL-60 cell apoptosis based on diffraction imaging flow cytometry technique.

Authors:  Xu Yang; Yuanming Feng; Yahui Liu; Ning Zhang; Wang Lin; Yu Sa; Xin-Hua Hu
Journal:  Biomed Opt Express       Date:  2014-06-11       Impact factor: 3.732

7.  Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.

Authors:  Yuqi Han; Zhen Xie; Yali Zang; Shuaitong Zhang; Dongsheng Gu; Mu Zhou; Olivier Gevaert; Jingwei Wei; Chao Li; Hongyan Chen; Jiang Du; Zhenyu Liu; Di Dong; Jie Tian; Dabiao Zhou
Journal:  J Neurooncol       Date:  2018-08-10       Impact factor: 4.130

8.  Texture analysis as a predictor of radiation-induced xerostomia in head and neck patients undergoing IMRT.

Authors:  Valerio Nardone; Paolo Tini; Christophe Nioche; Maria Antonietta Mazzei; Tommaso Carfagno; Giuseppe Battaglia; Pierpaolo Pastina; Roberta Grassi; Lucio Sebaste; Luigi Pirtoli
Journal:  Radiol Med       Date:  2018-01-24       Impact factor: 3.469

9.  Multi-objective radiomics model for predicting distant failure in lung SBRT.

Authors:  Zhiguo Zhou; Michael Folkert; Puneeth Iyengar; Kenneth Westover; Yuanyuan Zhang; Hak Choy; Robert Timmerman; Steve Jiang; Jing Wang
Journal:  Phys Med Biol       Date:  2017-05-08       Impact factor: 3.609

10.  Multi-atlas-based Segmentation of the Parotid Glands of MR Images in Patients Following Head-and-neck Cancer Radiotherapy.

Authors:  Guanghui Cheng; Xiaofeng Yang; Ning Wu; Zhijian Xu; Hongfu Zhao; Yuefeng Wang; Tian Liu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-02-28
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