WE-C-116-04: Development of Automatic Segmentation Algorithm to Assess Parotid-Gland Volume Changes Following Radiotherapy for Head-And-Neck Malignancies: A Longitudinal Study

2013 ◽  
Vol 40 (6Part29) ◽  
pp. 484-484
Author(s):  
X Yang ◽  
G Cheng ◽  
N Wu ◽  
W Curran ◽  
T Liu
Keyword(s):  
Longitudinal Study ◽  
Parotid Gland ◽  
Head And Neck ◽  
Automatic Segmentation ◽  
Segmentation Algorithm ◽  
Volume Changes ◽  
Head And Neck Malignancies ◽  
Gland Volume

Automatic Parotid Gland Segmentation in MVCT Using Deep Convolutional Neural Networks

2022 ◽  
Vol 3 (2) ◽  
pp. 1-15
Author(s):  
Junqian Zhang ◽  
Yingming Sun ◽  
Hongen Liao ◽  
Jian Zhu ◽  
Yuan Zhang
Keyword(s):  
Parotid Gland ◽  
Head And Neck ◽  
Helical Tomotherapy ◽  
Radiation Treatment ◽  
Automatic Segmentation ◽  
Parotid Glands ◽  
Deep Convolutional Neural Networks ◽  
Megavoltage Computed Tomography ◽  
Radiation Induced ◽  
Segmentation Models

Radiation-induced xerostomia, as a major problem in radiation treatment of the head and neck cancer, is mainly due to the overdose irradiation injury to the parotid glands. Helical Tomotherapy-based megavoltage computed tomography (MVCT) imaging during the Tomotherapy treatment can be applied to monitor the successive variations in the parotid glands. While manual segmentation is time consuming, laborious, and subjective, automatic segmentation is quite challenging due to the complicated anatomical environment of head and neck as well as noises in MVCT images. In this article, we propose a localization-refinement scheme to segment the parotid gland in MVCT. After data pre-processing we use mask region convolutional neural network (Mask R-CNN) in the localization stage after data pre-processing, and design a modified U-Net in the following fine segmentation stage. To the best of our knowledge, this study is a pioneering work of deep learning on MVCT segmentation. Comprehensive experiments based on different data distribution of head and neck MVCTs and different segmentation models have demonstrated the superiority of our approach in terms of accuracy, effectiveness, flexibility, and practicability. Our method can be adopted as a powerful tool for radiation-induced injury studies, where accurate organ segmentation is crucial.

scholarly journals Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk

2014 ◽  
Vol 9 (1) ◽  
pp. 173 ◽  
Author(s):  
David Thomson ◽  
Chris Boylan ◽  
Tom Liptrot ◽  
Adam Aitkenhead ◽  
Lip Lee ◽  
...  
Keyword(s):  
At Risk ◽  
Head And Neck ◽  
Organs At Risk ◽  
Automatic Segmentation ◽  
Segmentation Algorithm ◽  
Definition Of

scholarly journals A longitudinal study on parotid and submandibular gland changes assessed by magnetic resonance imaging and ultrasonography in post-radiotherapy nasopharyngeal cancer patients

BJR|Open ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 20200003
Author(s):  
Vincent W.C. Wu ◽  
Michael TC Ying ◽  
Dora LW Kwong ◽  
Pek-Lan Khong ◽  
Gary KW Wong ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Parotid Gland ◽  
Submandibular Gland ◽  
Pulsatility Index ◽  
Peak Systolic Velocity ◽  
Resistive Index ◽  
Submandibular Glands ◽  
Haemodynamic Parameters ◽  
Gland Volume ◽  
Diastolic Velocity

Objectives: With regard to the intensity modulated radiotherapy (IMRT) of nasopharyngeal carcinoma (NPC) patients, this longitudinal study evaluated the radiation-induced changes in the parotid and submandibular glands in terms of gland size, echogenicity and haemodynamic parameters. Methods: 21 NPC patients treated by IMRT underwent MRI and ultrasound scans before radiotherapy, and at 6, 12, 18 and 24 months after treatment. Parotid and submandibular gland volumes were measured from the MRI images, whereas the parotid echogenicity and haemodynamic parameters including the resistive index, pulsatility index, peak systolic velocity and end diastolic velocity were evaluated by ultrasonography. Trend lines were plotted to show the pattern of changes. The correlations of gland doses and the post-RT changes were also studied. Results: The volume of the parotid and submandibular glands demonstrated a significant drop from pre-RT to 6 months post-RT. The parotid gland changed from hyperechoic before RT to either isoechoic or hypoechoic after treatment. The resistive index and pulsatility index decreased from pre-RT to 6 month post-RT, then started to increase at 12 month time interval. Both peak systolic velocity and end diastolic velocity increased after 6 months post-RT then followed a decreasing trend up to 24 months post-RT. There was mild correlation between post-RT gland dose and gland volume, but not with haemodynamic changes. Conclusions: Radiation from IMRT caused shrinkage of parotid and submandibular glands in NPC patients. It also changed the echogenicity and vascular condition of the parotid gland. The most significant changes were observed at 6 months after radiotherapy. Advances in knowledge: It is the first paper that reports on the longitudinal changes of salivary gland volume, echogenicity and haemodynamic parameters altogether in NPC patients after radiotherapy. The results are useful for the prediction of glandular changes that is associated with xerostomia, which help to provide timely management of the complication when the patients attend follow-up visits.

CBCT Evaluation of Dose-Volume Changes in Contralateral Parotid Gland during Head and Neck IG-IMRT

2010 ◽  
Vol 78 (3) ◽  
pp. S481-S482
Author(s):  
M. Lei ◽  
C. Clark ◽  
E. Adams ◽  
K. Freeman ◽  
C. Jamieson ◽  
...  
Keyword(s):  
Parotid Gland ◽  
Head And Neck ◽  
Volume Changes ◽  
Dose Volume

scholarly journals Head and neck target delineation using a novel PET automatic segmentation algorithm

2017 ◽  
Vol 122 (2) ◽  
pp. 242-247 ◽  
Author(s):  
B. Berthon ◽  
M. Evans ◽  
C. Marshall ◽  
N. Palaniappan ◽  
N. Cole ◽  
...  
Keyword(s):  
Head And Neck ◽  
Automatic Segmentation ◽  
Segmentation Algorithm ◽  
Target Delineation

Factors associated with suicidal ideation risk in head and neck cancer: A longitudinal study

2019 ◽  
Vol 129 (11) ◽  
pp. 2491-2495 ◽  
Author(s):  
Dun‐Cheng Chang ◽  
Andy Wei‐Ge Chen ◽  
Yu‐Sheng Lo ◽  
Yi‐Ching Chuang ◽  
Mu‐Kuan Chen
Keyword(s):  
Head And Neck Cancer ◽  
Longitudinal Study ◽  
Suicidal Ideation ◽  
Head And Neck ◽  
Neck Cancer ◽  
Factors Associated
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