A quality "dream team" helps turn around a hospital's performance.
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Fungal Disease Response Centre: Pioneering Diagnostic Approach for Regions With Dispersed Hospital Centres.
Mycoses
January 2025
Laboratorio de Micología y Diagnóstico Molecular-Cátedra de Parasitología y Micología-Bioquímica, Universidad Nacional del Litoral, Santa Fe, Argentina.
Background: Access to fungal disease diagnosis is crucial for reducing mortality, yet it varies widely across Argentina, especially outside Buenos Aires. In regions like Santa Fe and Paraná, where most healthcare facilities are under 150 beds, maintaining specialised mycology labs is challenging.
Objectives: This work describes the establishment and first-year results of a centralised Fungal Disease Response Centre (FDRC) and referral network serving this region, covering approximately 1 million inhabitants.
Evaluation of a next generation sequencing assay for Hepatitis B antiviral drug resistance on the oxford nanopore system.
J Clin Virol
January 2025
Division of Medical Microbiology and Virology, St. Paul's Hospital, Providence Health Care, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada. Electronic address:
Background: Next-generation sequencing (NGS) for Hepatitis B virus (HBV) antiviral resistance (AVR) testing is a highly sensitive diagnostic method, able to detect low-level mutant subpopulations. Our clinical virology laboratory previously transitioned from DNA hybridization (INNO-LiPA) to NGS, initially with the GS Junior System and subsequently the MiSeq. The Oxford Nanopore Technology (ONT) sequencing system was evaluated for HBV resistance testing, with regards to sequencing accuracy and turn-around time.
View Article and Find Full Text PDFOut-of-distribution generalization for segmentation of lymph node metastasis in breast cancer.
Sci Rep
January 2025
Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada.
Pathology provides the definitive diagnosis, and Artificial Intelligence (AI) tools are poised to improve accuracy, inter-rater agreement, and turn-around time (TAT) of pathologists, leading to improved quality of care. A high value clinical application is the grading of Lymph Node Metastasis (LNM) which is used for breast cancer staging and guides treatment decisions. A challenge of implementing AI tools widely for LNM classification is domain shift, where Out-of-Distribution (OOD) data has a different distribution than the In-Distribution (ID) data used to train the model, resulting in a drop in performance in OOD data.
View Article and Find Full Text PDFTeaching the Laboratory's Role in Diagnostic Stewardship: Engaging Pathology Residents in a Quality Initiative to Improve Autoverification Rates.
J Appl Lab Med
January 2025
Department of Pathology and Laboratory Medicine, Loyola University Medical Center, Maywood, IL, United States.
Background: Our institution involves our pathology residents in departmental quality initiatives and in identifying needs for operational improvements. The solutions achieved by these projects have effects beyond the laboratory, and ultimately help to improve diagnostic stewardship by supporting the clinician's ability to obtain necessary biochemical information at the right time. A project highlighting a successful venture is described here in which our investment in new total laboratory automation was not meeting our goals for autoverification rates, resulting in less than expected improvements to turnaround times (TAT).
View Article and Find Full Text PDFIntroducing a Software-Based Template for Standardized Structured Reports of Urinary Cytology and Its Impact on Turnaround Time in a Tertiary Center.
Diagn Cytopathol
December 2024
Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Introduction: Standardized pathology reports enhance completeness and readability, contributing to the overall improvement in the management of patients. The standardization of urine cytology reporting has gained widespread acceptance with the use of the Paris system (TPS) for reporting urinary cytology, primarily focused on detecting high-grade urothelial carcinoma (HGUC). The next phase at the Institute of Pathology, Medical Faculty, University of Ljubljana, was the implementation of TPS, including standardized additional findings on non-neoplastic changes, into a software-based standardized structured reporting (SBSSR) system.
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