Results 111 to 120 of about 830,619 (333)

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

A Probabilistic Model of Bilateral Lymphatic Spread in Head and Neck Cancer [PDF]

arXiv
Current guidelines for elective nodal irradiation in oropharyngeal squamous cell carcinoma (OPSCC) recommend including large portions of the contralateral lymph system in the clinical target volume (CTV-N), even for lateralized tumors with no clinical lymph node involvement in the contralateral neck.
arxiv  

Fractal and multifractal analysis of PET-CT images of metastatic melanoma before and after treatment with ipilimumab [PDF]

arXiv, 2015
PET/CT with F-18-Fluorodeoxyglucose (FDG) images of patients suffering from metastatic melanoma have been analysed using fractal and multifractal analysis to assess the impact of monoclonal antibody ipilimumab treatment with respect to therapy outcome.
arxiv  

Differentiation of Some Disorders of the Lymphatic System by Leukoagglutination [PDF]

, 1946
Bernhard Steinberg, Ruth A. Martin
openalex   +1 more source

Assessing proton plans with three different beam delivery systems versus photon plans for head and neck tumors

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray, Chieh‐Wen Liu, Saeed Ahmed, Anna Maria Kolano, Jeremy Donaghue, Shlomo Koyfman, Neil Woody, Shauna R. Campbell, Jonathan B. Farr, Ping Xia   +9 more
wiley   +1 more source

THE R�LE OF THE LYMPHATIC SYSTEM IN THE MECHANISM OF BODILY DEFENCE. [PDF]

, 1908
H. D. McCulloch
openalex   +1 more source

IROC phantoms accurately detect MLC delivery errors

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose We evaluated the impact of random and whole‐bank multileaf collimator (MLC) delivery errors on dosimetric delivery accuracy in the Imaging and Radiation Oncology Core (IROC) phantom audits, as well as differences in delivery accuracy between the IROC phantom prescription and typical clinical fraction sizes.
Sharbacha S. Edward, Julianne M. Pollard‐Larkin, Peter A. Balter, Rebecca M. Howell, Christine B. Peterson, Stephen F. Kry   +5 more
wiley   +1 more source

On tumor development: fractional transport approach [PDF]

arXiv, 2004
A growth of malignant neoplasm is considered as a fractional transport approach. We suggested that the main process of the tumor development through a lymphatic net is fractional transport of cells. In the framework of this fractional kinetics we were able to show that the mean size of main growth is due to subdiffusion, while the appearance of ...
arxiv  

Automatic skin flash optimization in breast and chestwall VMAT with static angle modulated ports: Effect of HU and flash margin size on plan quality and robustness

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Skin flash is typically added to breast and chestwall plans to ensure robust target coverage in the presence of respiratory motion, anatomic changes, and small setup uncertainties. Adding skin flash in volumetric modulated arc therapy (VMAT) plans is an iterative and manual process.
Emily Hubley, Brandon Koger, Taoran Li, Michael Salerno, Ryan M. Scheuermann, Lei Dong, Boon‐Keng Kevin Teo   +6 more
wiley   +1 more source

The Role of Imaging of Lymphatic System to Prevent Cancer Related Lymphedema. [PDF]

Bioengineering (Basel), 2023
Cuccurullo V, Rapa M, Catalfamo B, Gatta G, Di Grezia G, Cascini GL.   +5 more
europepmc   +1 more source