Texture analysis for the assessment of structural changes in parotid glands induced by radiotherapy

Scalco, Elisa; Fiorino, Claudio; Cattaneo, Giovanni Mauro; Sanguineti, Giuseppe; Rizzo, Giovanna

doi:10.1016/j.radonc.2013.09.019

Cited by 73 publications

(52 citation statements)

References 17 publications

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“…19 In this work, we explored whether radiation could cause CTN changes by examining the daily megavoltage CTs (MVCTs) acquired during IGRT for patients with nasopharyngeal cancer (NPC) and how these changes are associated with the anatomic changes observed for these patients.…”

Section: Introductionmentioning

confidence: 99%

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

Yang

et al. 2016

BJR

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Objective: To investigate the changes in CT number (CTN) in gross tumour volume (GTV) and organs at risk (OARs) during the course of radiation therapy (RT) for nasopharyngeal cancer (NPC). Methods: Daily megavoltage CT (MVCT) data collected from 30 patients with NPC treated with a prescription dose of 70 Gy in 30-33 fractions using helical tomotherapy were retrospectively analyzed. The contours of GTV and OARs on daily MVCTs were obtained by populating the planning contours from planning CT to daily MVCTs with manual editing, if necessary. The changes of GTV and OAR volumes and the histograms of CTN in the GTV and OARs during the course of RT delivery were analyzed. Results: Volumes of GTV and parotid glands were reduced during the course of radiation treatment, with an average shrinkage rate of 0.23% per day (range, 0.02-0.8%) and 1.2% per day (range, 0.2-2.3%), respectively. The mean CTN changes in GTV and ipsilateral and contralateral parotid glands were reduced by 52 6 35 HU, 18 6 20 HU and 17 6 22 HU, respectively. For GTV, the CTN and GTV volume decreases were found to be correlated with each other (p , 0.0001). No noticeable CTN change was found in the spinal cord and non-specified tissue irradiated with low doses. Conclusion: The CTN changes in GTV and parotids are measurable during the delivery of fractionated radiotherapy for NPC, were associated with the doses received (the number of fractions delivered) and were patient specific. Advances in knowledge: The CTN change during radiotherapy is dose dependent and is measurable for NPC.

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Section: Introductionmentioning

confidence: 99%

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

Yang

et al. 2016

BJR

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“…Since the contrast measures the local variations in an image [36], the degree of modulation of VMAT seems to be related to the local variations in the values of each beamlet, that is, MU variations. The prostate VMAT plans, which were lowly-modulated plans, showed higher values of contrast than did the H&N VMAT plans, which were highly-modulated plans.…”

Section: Discussionmentioning

confidence: 99%

“…In order to calculate textural features, a gray level co-occurrence matrix (GLCM), which is a matrix indicating the intensity relationships between pairs of pixels in the image, was generated for each fluence [36]. When generating a GLCM, the angles of searching directions of the intensity relationship were 0°, 45°, 90°and 135°and the particular displacement distances (d) were 1, 5 and 10 in this study, resulting in the generation of a total of 12 GLCMs per fluence (4 searching directions × 3 particular displacement distances).…”

Section: Calculation Of Textural Features With Fluencesmentioning

confidence: 99%

“…The IDM and contrast are measures of local homogeneity of a fluence and local variations in a fluence map, respectively. The correlation is a measure of the linear dependency of gray level and the entropy is a measure of a randomness of a fluence [17,36,37]. Since several fluences were acquired for each VMAT plan, with the exception of the summation of 356 MU maps, textural features with the same value of d calculated from each fluence were averaged for each VMAT plan.…”

Section: Calculation Of Textural Features With Fluencesmentioning

confidence: 99%

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Textural feature calculated from segmental fluences as a modulation index for VMAT

Park

Kim

et al. 2015

Physica Medica

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“…in order to limit the effect of the strong voxel size anisotropy in MRI images. Texture analysis was performed using the “in‐house” software previously developed in the Python programming language …”

Section: Methodsmentioning

confidence: 99%

Texture analysis of T1‐w and T2‐w MR images allows a quantitative evaluation of radiation‐induced changes of internal obturator muscles after radiotherapy for prostate cancer

et al. 2018

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Texture analysis for the assessment of structural changes in parotid glands induced by radiotherapy

Cited by 73 publications

References 17 publications

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

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

Textural feature calculated from segmental fluences as a modulation index for VMAT

Texture analysis of T1‐w and T2‐w MR images allows a quantitative evaluation of radiation‐induced changes of internal obturator muscles after radiotherapy for prostate cancer

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