A clinically approved method for assessing the radiation load on surgical team members during an endourologic intervention under X-ray monitoring is described.
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Purpose: In this study, we aimed to evaluate the association between the Extension for Community Healthcare Outcomes-Palliative Care (ECHO-PC; ECHO Model-Based comprehensive educational and telementoring intervention) for health care professionals (HCPs) and change in patient-reported quality-of-life (QOL; Functional Assessment of Cancer Therapy-General [FACT-G]) among patients with advanced cancer. We also examined the association between ECHO-PC and changes in symptom distress (Edmonton Symptom Assessment Scale [ESAS]), patient experience and satisfaction, and caregiver distress scores.
Methods: ECHO-PC Clinic sessions were conducted twice a month for 1 year by an interdisciplinary team of PC clinicians at the MD Anderson Cancer Center, with participation of experts in PC in sub-Saharan Africa, using standardized curriculum on the basis of PC needs in the region.
Gadopiclenol Enables Reduced Gadolinium Dose While Maintaining Quality of Pulmonary Arterial Enhancement for Pulmonary MRA: An Opportunity for Improved Safety and Sustainability.
Invest Radiol
January 2025
From the Departments of Radiology (J.F.H., S.Y.C., J.-P.G., J.S., P.N., S.B.R., T.M.G.), Biomedical Engineering (S.B.R., T.M.G.), Medical Physics (S.Y.C., S.B.R., T.M.G.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin-Madison, WI; and Department of Diagnostic and Interventional Radiology (J.F.H., J.-P.G.), University Hospital Würzburg, Würzburg, Germany.
Rationale And Objectives: Pulmonary magnetic resonance angiography (MRA) is an imaging method with proven utility for the exclusion of pulmonary embolism and avoids the need for ionizing radiation and iodinated contrast agents. High-relaxivity gadolinium-based contrast agents (GBCAs), such as gadopiclenol, can be used to reduce the required gadolinium dose for pulmonary MRA. The aim of this study was to compare the contrast enhancement performance of gadopiclenol with an established gadobenate dimeglumine-enhanced pulmonary MRA protocol.
View Article and Find Full Text PDF18F-DCFPyL PET/MRI Radiomics for Intraprostatic Prostate Cancer Detection and Metastases Prediction Using Whole-Gland Segmentation.
Br J Radiol
January 2025
Joint Department of Medical Imaging, University Medical Imaging Toronto (UMIT), University Health Network, Mount Sinai Hospital & Women's College Hospital; University of Toronto, Toronto, ON, Canada.
Objectives: To evaluate 18F-DCFPyL-PET/MRI whole-gland-derived radiomics for detecting clinically significant (cs) prostate cancer (PCa) and predicting metastasis.
Methods: Therapy-naïve PCa patients who underwent 18F-DCFPyL PET/MRI were included. Whole-prostate-segmentation was performed.
Exhalation of Rn-219 by patients treated with Radium-223.
EJNMMI Phys
January 2025
Department for Radiation Protection and Medical Physics, Hannover Medical School, Carl-Neuberg- Str. 1, 30625, Hannover, Germany.
Background: Treatment with Ra-223 dichloride is approved for the therapy of castration resistant prostate cancer (CRPC) with symptomatic bone metastases and no known visceral metastases in Europe since 2013, and Ra-223 is under discussion for labelling other molecules and nanoparticles. The direct progeny of Ra-223 is Rn-219, also known as actinon, a radioactive noble gas with a half-life of 3.98 s.
View Article and Find Full Text PDFNon-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.
Med Biol Eng Comput
January 2025
Faculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between image quality and radiation exposure is critical, as reducing the administered dose results in a lower signal-to-noise ratio (SNR) and information loss, which may significantly affect clinical diagnosis. Deep learning (DL) algorithms have recently made significant progress in low-dose (LD) PET reconstruction.
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