Role of machine learning in precision oncology: applications in gastrointestinal cancers

A Tabari, SM Chan, OMF Omar, SI Iqbal, MS Gee… - Cancers, 2022 - mdpi.com
Simple Summary Worldwide gastrointestinal (GI) malignancies account for about 25% of the
global cancer incidence. For some malignancies, screening programs, such as routine colon …

[HTML][HTML] Basic physical principles and clinical applications of computed tomography

H Jung - Progress in Medical Physics, 2021 - synapse.koreamed.org
The evolution of X-ray computed tomography (CT) has been based on the discovery of X-
rays, the inception of the Radon transform, and the development of X-ray digital data …

Clinical validation of a commercially available deep learning software for synthetic CT generation for brain

M Lerner, J Medin, C Jamtheim Gustafsson, S Alkner… - Radiation …, 2021 - Springer
Background Most studies on synthetic computed tomography (sCT) generation for brain rely
on in-house developed methods. They often focus on performance rather than clinical …

Segreg: Segmenting oars by registering mr images and ct annotations

Z Zhang, X Qi, B Zhang, B Wu, H Le… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Organ at risk (OAR) segmentation is a critical process in radiotherapy treatment planning
such as head and neck tumors. Nevertheless, in clinical practice, radiation oncologists …

Additive manufacturing pertaining to bone: Hopes, reality and future challenges for clinical applications

B Charbonnier, M Hadida, D Marchat - Acta Biomaterialia, 2021 - Elsevier
For the past 20 years, the democratization of additive manufacturing (AM) technologies has
made many of us dream of: low cost, waste-free, and on-demand production of functional …

Validation of deep learning-based CT image reconstruction for treatment planning

K Yasui, Y Saito, A Ito, M Douwaki, S Ogawa… - Scientific reports, 2023 - nature.com
Deep learning-based CT image reconstruction (DLR) is a state-of-the-art method for
obtaining CT images. This study aimed to evaluate the usefulness of DLR in radiotherapy …

[HTML][HTML] The effects of CT x-ray tube voltage and current variations on the relative electron density (RED) and CT number conversion curves

MB Afifi, A Abdelrazek, NA Deiab… - Journal of Radiation …, 2020 - Elsevier
The procedures of the radiation treatment of the cancer patient start with imaging of patient
by CT machine. CT machine determine the locations and densities of patient organs in …

Assessment of the variation in CT scanner performance (image quality and Hounsfield units) with scan parameters, for image optimisation in radiotherapy treatment …

AT Davis, AL Palmer, S Pani, A Nisbet - Physica Medica, 2018 - Elsevier
Purpose To define a method and investigate how the adjustment of scan parameters
affected the image quality and Hounsfield units (HUs) on a CT scanner used for …

[HTML][HTML] Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology

AK Jha, S Mithun, UB Sherkhane… - … of Targeted Anti …, 2023 - ncbi.nlm.nih.gov
Cancer is a fatal disease and the second most cause of death worldwide. Treatment of
cancer is a complex process and requires a multi-modality-based approach. Cancer …

Novel combination treatment for melanoma: FLASH radiotherapy and immunotherapy delivered by a radiopaque and radiation responsive hydrogel

YC Dong, LM Nieves, JC Hsu, A Kumar… - Chemistry of …, 2023 - ACS Publications
Immunotherapies have become the standard treatment for melanoma. To further improve
patient responses, combinations of immunotherapies and radiotherapy (RT) are being …