Prevalence and Association of Sarcopenia with Mortality in Patients with Head and Neck Cancer: A Systematic Review and Meta-Analysis

JH Koh, CYJ Lim, LTP Tan, A Makmur, EY Gao… - Annals of Surgical …, 2024 - Springer
Background The objective of this meta-analysis was to assess the association of sarcopenia
defined on computed tomography (CT) head and neck with survival in head and neck …

Abdominal body composition reference ranges and association with chronic conditions in an age-and sex-stratified representative sample of a geographically defined …

AD Weston, BR Grossardt, HW Garner… - The Journals of …, 2024 - academic.oup.com
Background Body composition can be accurately quantified from abdominal computed
tomography (CT) exams and is a predictor for the development of aging-related conditions …

[HTML][HTML] Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network

N Taku, KA Wahid, LV van Dijk, J Sahlsten… - Clinical and …, 2022 - Elsevier
Purpose Segmentation of involved lymph nodes on head and neck computed tomography
(HN-CT) scans is necessary for the radiotherapy planning of early-stage human papilloma …

Bi-Graph Reasoning for Masticatory Muscle Segmentation from Cone-Beam Computed Tomography

Y Zhong, Y Pei, K Nie, Y Zhang, T Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automated segmentation of masticatory muscles is a challenging task considering
ambiguous soft tissue attachments and image artifacts of low-radiation cone-beam …

Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy

KA Wahid, J Xu, D El-Habashy, Y Khamis… - Frontiers in …, 2022 - frontiersin.org
Background Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …

Segmentation stability of human head and neck medical images for radiotherapy applications under de-identification conditions: benchmarking for data sharing and …

J Sahlsten, KA Wahid, E Glerean, J Jaskari, MA Naser… - medRxiv, 2022 - medrxiv.org
Abstract Background and Purpose Increased demand for head and neck cancer (HNC)
radiotherapy data for algorithmic development has prompted an escalation of head and …

Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive Radiotherapy

KA Wahid, J Xu, D El-Habashy, Y Khamis, M Abobakr… - medRxiv, 2022 - medrxiv.org
Background Quick, low contrast resolution magnetic resonance imaging (MRI) scans are
typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head …

Muscle and adipose tissue segmentations at the C3 vertebral level for sarcopenia-related clinical decision-making in patients with head and neck cancer

KA Wahid, B Olson, R Jain, AJ Grossberg… - medRxiv, 2022 - medrxiv.org
The accurate determination of sarcopenia is critical for disease management in patients with
head and neck cancer (HNC). Quantitative determination of sarcopenia is currently …