Results 171 to 180 of about 6,097,409 (251)
This study compares two techniques for creating lead shielding masks to replace the current process for superficial/orthovoltage facial radiotherapy: Plaster Cast Positive Mould (PCPM), CT Scanned 3D Print (CT3DP), and Optical Scan 3D Print (OS3DP). CT3DP was found to be more accurate and preferred over OS3DP.
Rory Hartley +6 more
wiley +1 more source
Volumetric Modulated Arc Therapy for lung cancer: Correlation between dose and volume. [PDF]
Wang Y, Xu D, Liu Y, Zhang X, Yu L.
europepmc +1 more source
Prone Breast Radiotherapy on the MR‐Linac: A Technical Note on Skin‐Couch Contact Dose Effects
This retrospective planning study evaluated the dosimetric effects of skin‐couch contact during prone APBI on a 1.5 T MR‐Linac by comparing treatment plans calculated with and without a magnetic field. While the presence of the magnetic field increased overall superficial skin dose, it consistently reduced dose at the skin‐couch contact region ...
Kerryn Brown +7 more
wiley +1 more source
Can physics review catch prescription and PTV margin errors in fully automated radiotherapy plans? A hazard study. [PDF]
Court LE +8 more
europepmc +1 more source
In 120 patients receiving postmastectomy radiotherapy, each irradiated chest wall was divided into medial and lateral halves, which were randomised to Mepitel Film or StrataXRT. Mepitel Film reduced grade 2–3 acute radiation dermatitis and clinician‐assessed erythema and moist desquamation over time.
Shing Fung Lee +6 more
wiley +1 more source
The application value of artificial intelligence in medical imaging: foundations, progress, and challenges. [PDF]
Sun H +7 more
europepmc +1 more source
This study evaluated 43 clinically approved VMAT plans for anal squamous cell carcinoma (SCC) against RTOG, eviQ, ANROTAT and departmental planning guidelines to assess the achievability of current dose constraints. While most target coverage and median OAR dose objectives were within protocol, not all constraints were consistently met, supporting the ...
Faisal Alshamrani +9 more
wiley +1 more source
External evaluation of a deep learning-based algorithm for automated lung tumor and esophagus segmentation on CBCT. [PDF]
Zhang Z +7 more
europepmc +1 more source
This systematic review summarizes current evidence on machine and deep learning algorithms for MRI‐based cervical cancer segmentation, demonstrating promising diagnostic performance and potential for workflow automation. However, methodological heterogeneity, limited external validation, and low certainty of evidence highlight the need for standardized
Somayeh Haji Ahmadi +3 more
wiley +1 more source

