Background: Biological specimens from patients who have received radiopharmaceuticals are often collected for diagnostic testing and sent to clinical laboratories. Residual radiation has long been assumed to be minimal. However, literature is sparse and may not represent the specimen volumes or spectrum of radionuclides currently seen at National Cancer Institute (NCI)-designated cancer centers. This study examined the radiopharmaceuticals associated with patient specimens received in the hospital core laboratory and assessed the potential risk of external radiation exposure to laboratory personnel.
Methods: The types and amounts of radiopharmaceuticals administered in a large metropolitan hospital system were retrospectively examined over a 20-month study period. The associated biological specimens sent to the largest core laboratory in the system for testing were evaluated. In addition, manual survey meter assessment of random clinical specimens and weekly wipe tests were performed for 44 weeks, and wearable and environmental dosimeters were placed for 6 months.
Results: Over 11 000 specimens, collected within 5 physical half-lives of radiopharmaceutical administration, were processed by our laboratory. Manual survey meter assessment of random clinical specimens routinely identified radioactive specimens. If held in a closed palm for >2 min, many samples could potentially deliver a 0.02 mSv effective dose of radiation.
Conclusions: The laboratory regularly receives radioactive patient specimens without radioactive labels. Although the vast majority of these are blood specimens associated with low-dose diagnostic radiopharmaceuticals, some samples may be capable of delivering a significant amount of radiation. Recommendations for laboratories associated with NCI cancer centers are given.
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http://dx.doi.org/10.1093/clinchem/hvab135 | DOI Listing |
BMC Cancer
January 2025
Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Department of Hand Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden.
Background: Rupture of extensor pollicis longus tendon (EPL) is a known complication following a distal radius fracture (DRF). Although the precise mechanisms behind these ruptures remain unclear, vascular impairment is thought to play a significant role. Additionally, the impact of an EPL rupture on microstructure of the tendon and muscle is not well understood, but such information could be important in guiding treatment strategies.
View Article and Find Full Text PDFJ Prosthet Dent
January 2025
Assistant Professor, Department of Prosthodontic, College of Dental Medicine, Rangsit University, Phatum Thani, Thailand. Electronic address:
Statement Of Problem: Comprehensive data are needed on the performance of chemically activated, chairside hard reline materials when used with computer-aided design and computer-aided manufacturing (CAD-CAM) milled polymethyl methacrylate (PMMA) denture bases and conventionally processed bases. This lack of data affects decisions regarding the chairside reline material to be used for improving the fit and retention of relined complete dentures.
Purpose: The purpose of this in vitro study was to evaluate and compare the shear bond strength (SBS) of 3 chemically activated, chairside hard reline materials on CAD-CAM milled and conventional heat-polymerized PMMA denture bases.
Cancer Cell
December 2024
Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA. Electronic address:
Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a step toward molecular subtype application in the clinic.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Dementia and Neurodegenerative Disease Research Center, Inje University, St Charles, Korea, Republic of (South); Department of Neurology, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea, Republic of (South); Inje University College of Medicine, BUSAN, Korea, Republic of (South).
Background: Because of clinically overlapping parkinsonian motor symptoms, it is hard to diagnose a specific disease in atypical parkinsonism or differentiate Parkinson's disease (PD) from atypical parkinsonism. Herein, we report the clinicopathological mismatching of an autopsy-confirmed PSP in a patient clinically diagnosed with PD.
Method Clinical History: We reviewed the brief clinical history of a 70-year-old man and neurologic examination.
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