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Fatigue relief in multiple sclerosis by personalized neuromodulation: A multicenter pilot study [FaremusGE].
Mult Scler Relat Disord
January 2025
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, and Center of Excellence for Biomedical Research, University of Genoa, Genoa, Italy; Ospedale Policlinico San Martino - IRCCS, Genoa, Italy.
Background: A recent application of the GRADE guidelines indicated Faremus, a 5-day neuromodulation for 15 min per day via transcranial direct current stimulation (tDCS), as medium to highly recommendable for alleviating fatigue in multiple sclerosis (MS).
Methods: With this pilot study we aimed to evaluate the feasibility, acceptance, safety, and effectiveness of the Faremus treatment carried out in a multicenter context. The Rome unit prepared the intervention, supplied the personalized electrodes to the San Martino Hospital in Genova, where the neurological team enrolled the population of fatigued people with multiple sclerosis (PwMS) and carried out the treatment.
Comparison of AAPM TG282 and Dance breast dosimetry models: Impact on estimates of average MGD for the United Kingdom breast screening programmes.
Phys Med
January 2025
National Co-ordinating Centre for the Physics of Mammography (NCCPM), Medical Physics Department, Royal Surrey NHS Foundation Trust, Guildford GU2 7XX UK.
Background: The American Association of Physicists in Medicine (AAPM) Task group 282 (TG282) in collaboration with the European Federation for Organisations of Medical Physics (EFOMP) have developed a novel breast dosimetry model intended as a single international standard.
Purpose: To explore the impact of TG282 dosimetry on estimates of average Mean Glandular Dose (MGD) in the United Kingdom (UK) National Health Service (NHS) Breast Screening Programmes (BSP).
Methods: MGDs were estimated, using the TG282 dosimetry model, for the most recent UK NHSBSP dose survey.
Recommendations for reporting and evaluating proton therapy beyond dose and constant relative biological effectiveness.
Phys Imaging Radiat Oncol
January 2025
Center for Proton Therapy, Paul Scherrer Institute, Villigen PSI, Switzerland.
Background And Purpose: In proton therapy, a relative biological effectiveness (RBE) of 1.1 is used to convert proton dose into an equivalent photon dose. However, RBE varies with tissue type, fraction dose, and beam quality parameters beyond dose such as linear energy transfer (LET) raising concerns about increased local effectiveness and potential toxicity.
View Article and Find Full Text PDFTherapeutic dose prediction using score-based diffusion model for pretreatment patient-specific quality assurance.
Front Oncol
January 2025
Department of Radiation Oncology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objectives: Implementing pre-treatment patient-specific quality assurance (prePSQA) for cancer patients is a necessary but time-consuming task, imposing a significant workload on medical physicists. Currently, the prediction methods used for prePSQA fall under the category of supervised learning, limiting their generalization ability and resulting in poor performance on new data. In the context of this work, the limitation of traditional supervised models was broken by proposing a conditional generation method utilizing unsupervised diffusion model.
View Article and Find Full Text PDFDeveloping an automatic treatment record review system for quality assurance of patient treatment delivery in radiation therapy.
Radiat Oncol
January 2025
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Background And Purpose: Treatment record contains most of information related to treatment plan delivery in radiation therapy. Reviewing treatment record is an important quality assurance (QA) task for safety and quality of patient treatments. This task is usually performed by senior medical physicists.
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