scholarly journals Multi-atlas-based segmentation of the parotid glands of MR images in patients following head-and-neck cancer radiotherapy

2013 ◽  
Author(s):  
Guanghui Cheng ◽  
Xiaofeng Yang ◽  
Ning Wu ◽  
Zhijian Xu ◽  
Hongfu Zhao ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Parotid Glands ◽  
Mr Images ◽  
Cancer Radiotherapy

scholarly journals Auto-segmentation of the parotid glands on MR images of head and neck cancer patients with deep learning strategies

2020 ◽  
Author(s):  
Jennifer P. Kieselmann ◽  
Clifton D. Fuller ◽  
Oliver J. Gurney-Champion ◽  
Uwe Oelfke
Keyword(s):  
Head And Neck Cancer ◽  
Deep Learning ◽  
Head And Neck ◽  
Neck Cancer ◽  
Dice Similarity Coefficient ◽  
Observer Variability ◽  
Parotid Glands ◽  
Mr Images ◽  
Inter Observer Variability ◽  
Mri Guided

AbstractAdaptive online MRI-guided radiotherapy of head and neck cancer requires the reliable segmentation of the parotid glands as important organs at risk in clinically acceptable time frames. This can hardly be achieved by manual contouring. We therefore designed deep learning-based algorithms which automatically perform this task.Imaging data comprised two datasets: 27 patient MR images (T1-weighted and T2-weighted) and eight healthy volunteer MR images (T2-weighted), together with manually drawn contours by an expert. We used four different convolutional neural network (CNN) designs that each processed the data differently, varying the dimensionality of the input. We assessed the segmentation accuracy calculating the Dice similarity coefficient (DSC), Hausdorff distance (HD) and mean surface distance (MSD) between manual and auto-generated contours. We benchmarked the developed methods by comparing to the inter-observer variability and to atlas-based segmentation. Additionally, we assessed the generalisability, strengths and limitations of deep learning-based compared to atlas-based methods in the independent volunteer test dataset.With a mean DSC of 0.85± 0.11 and mean MSD of 1.82 ±1.94 mm, a 2D CNN could achieve an accuracy comparable to that of an atlas-based method (DSC: 0.85 ±0.05, MSD: 1.67 ±1.21 mm) and the inter-observer variability (DSC: 0.84 ±0.06, MSD: 1.50 ±0.77 mm) but considerably faster (<1s v.s. 45 min). Adding information (adjacent slices, fully 3D or multi-modality) did not further improve the accuracy. With additional preprocessing steps, the 2D CNN was able to generalise well for the fully independent volunteer dataset (DSC: 0.79 ±0.10, MSD: 1.72 ±0.96 mm)We demonstrated the enormous potential for the application of CNNs to segment the parotid glands for online MRI-guided radiotherapy. The short computation times render deep learning-based methods suitable for online treatment planning workflows.

Randomized Trials on Altered Fractionation in Head and Neck Cancer Radiotherapy with Conventional Fractionation as Control Arm: Another Lap to Go

1998 ◽  
Vol 84 (2) ◽  
pp. 160-166 ◽  
Author(s):  
Patrizia Olmi ◽  
Carlo Fallai
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Randomized Trials ◽  
Local Control Rate ◽  
Cancer Radiotherapy ◽  
Conventional Radiotherapy ◽  
Conventional Fractionation ◽  
Altered Fractionation ◽  
Accelerated Fractionation

The Authors present a review of randomized trials on non conventional fractionation in head and neck cancer radiotherapy with conventional fractionation as control arm. Hyperfractionation was studied in 5 trials, accelerated hyperfractionation in 4 trials and accelerated fractionation in 3 trials. Furthermore, the reviews of eminent Authors dealing with the above mentioned trials are summarized. In spite of improved local control rate reported with hyperfractionation, non conventional radiotherapy schedules are not yet recommended as routine clinical practice, but all the radiation oncologists are invited to join trials on this subject.

scholarly journals Improved human observer performance in digital reconstructed radiograph verification in head and neck cancer radiotherapy

2014 ◽  
Vol 10 (10) ◽  
pp. 1667-1673 ◽  
Author(s):  
Jared D. Sturgeon ◽  
John A. Cox ◽  
Lauren L. Mayo ◽  
G. Brandon Gunn ◽  
Lifei Zhang ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Observer Performance ◽  
Human Observer ◽  
Cancer Radiotherapy

scholarly journals Adaptive radiotherapy for head and neck cancer

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Enis Tinjak ◽  
Velda Smajlbegović ◽  
Adnan Beganović ◽  
Mirjana Ristanić ◽  
Halil Ćorović ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Locally Advanced ◽  
Adaptive Radiotherapy ◽  
Tumor Control ◽  
Parotid Glands ◽  
Image Guided Radiotherapy ◽  
The Impact

Introduction: Radiation therapy has long played an integral role in the manage¬ment of locally advanced head and neck cancer (HNC), both for organ preservation and to improve tumor control in the postoperative setting. The aim of this research is to investigate the effects of adaptive radiotherapy on dosimetric, clinical, and toxicity outcomes for patients with head and neck cancer undergoing radiation therapy treatment. Many sources have reported volume reductions in the primary target, nodal volumes, and parotid glands over treatment, which may result in unintended dosimetric changes affecting the side effect profile and even efficacy of the treatment. Adaptive radiotherapy (ART) is an interesting treatment paradigm that has been developed to directly adjust to these changes.Material and methods: This research contains the results of 15 studies, including clinical trials, randomized prospective and retrospective studies. The researches analyze the impact of radiation therapy on changes in tumor volume and the relationship with planned radiation dose delivery, as well as the possibility of using adaptive radiotherapy in response to identified changes. Also, medical articles and abstracts that are closely related to the title of adaptive radiotherapy were researched.Results: The application of ART significantly improved the quality of life of patients with head and neck cancer, as well as two-year locoregional control of the disease. The average time to apply ART is the middle of the treatment course approximately 17 to 20 fractions of the treatment.Conclusion: Based on systematic review of the literature, evidence based changes in target volumes and dose reduction at OAR, adaptive radiotherapy is recommended treatment for most of the patients with head and neck cancer with the support of image-guided radiotherapy.

scholarly journals New paste for severe stomatitis in patients undergoing head-and-neck cancer radiotherapy and/or chemotherapy with oral appliance

BMC Cancer ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Ayumi Sakuramoto ◽  
Yoko Hasegawa ◽  
Kazuma Sugahara ◽  
Yoshiyuki Komoda ◽  
Kana Hasegawa ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Oral Appliance ◽  
Cancer Radiotherapy
Sign in / Sign up

Export Citation Format

Share Document