Quantitative gene expression assays are increasingly used for diagnosis and research, but are often restricted to specific instrumentation. We propose a robust technical and statistical framework that enables transferring of established real-time quantitative PCR assays across real-time quantitative PCR platforms without compromising analytical and clinical validity. The feasibility of our approach was tested on MammaTyper, an in vitro diagnostic assay that quantifies breast cancer biomarkers and dichotomizes results according to cutoff points. CFX96, Applied Biosystems 7500 Fast, and Mx3000P were chosen as the candidate platforms, whereas the LightCycler 480 II was used as a reference. Two instruments were used per platform, and they were tested initially for equivalence via Bland-Altman and Deming regression analyses. A method comparison approach was adapted to adjust cutoffs for the new systems and the cross-platform agreement was evaluated. Finally, precision was estimated for each platform. The performance on the candidate devices was highly comparable to the reference platform, with a 7 log quantification range and amplification efficiencies of 97% to 103%. The equivalence tests successfully prequalified instruments, preventing constant and proportional errors and enabling reliable adjustments of cutoffs, which resulted in cross-platform marker and subtype agreements of 91% to 100% and κ values between 0.78 and 1.00. Provided that platform-specific adjustments are implemented, the described process can help expand the operability of quantitative diagnostic tests while maintaining assay performance characteristics.
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http://dx.doi.org/10.1016/j.jmoldx.2018.02.004 | DOI Listing |
J Clin Microbiol
January 2025
Laboratory of Animal Pathology and Public Health, National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China.
Unlabelled: Hepatitis E virus (HEV) is a globally prevalent zoonotic pathogen that is primarily spread through the fecal-oral route, such as by consuming undercooked or contaminated pork. HEV infection leads to an estimated 3.3 million symptomatic cases of viral hepatitis and 70,000 deaths in human populations each year.
View Article and Find Full Text PDFFront Parasitol
May 2024
Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands.
Detection of spp. DNA in gynaecological samples by quantitative real-time polymerase chain reaction (qPCR) is considered to be the reference diagnostic test for female genital schistosomiasis (FGS). However, qPCR needs expensive laboratory procedures and highly trained technicians.
View Article and Find Full Text PDFFront Parasitol
March 2024
Center for Research in Infectious Diseases, College of Graduate Studies and Research, Mount Kenya University, Thika, Kenya.
Introduction: Schistosomiasis (Bilharzia), a neglected tropical disease caused by parasites, afflicts over 240 million people globally, disproportionately impacting Sub-Saharan Africa. Current diagnostic tests, despite their utility, suffer from limitations like low sensitivity. Polymerase chain reaction (PCR) and quantitative real-time PCR (qPCR) remain the most common and sensitive nucleic acid amplification tests.
View Article and Find Full Text PDFHealthc Technol Lett
December 2024
Robotics and Control Laboratory, Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada.
The Segment Anything model (SAM) is a powerful vision foundation model that is revolutionizing the traditional paradigm of segmentation. Despite this, a reliance on prompting each frame and large computational cost limit its usage in robotically assisted surgery. Applications, such as augmented reality guidance, require little user intervention along with efficient inference to be usable clinically.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
Department of Biomedical Engineering, School of Life Sciences, Guangxi Medical University, Nanning, China.
Background: The persistently high mortality and morbidity rates of hepatocellular carcinoma (HCC) remain a global concern. Notably, the disruptions in mitochondrial cholesterol metabolism (MCM) play a pivotal role in the progression and development of HCC, underscoring the significance of this metabolic pathway in the disease's etiology. The purpose of this research was to investigate genes associated with MCM and develop a model for predicting the prognostic features of patients with HCC.
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