BAUTECHNIK aktuell 8/23
Die Bautechnik,
August 2023, 20230801, Letnik:
100, Številka:
8
Journal Article
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2. Konferenz der „European Association on Quality Control of Bridges and Structures”
Quality control is an essential first step in sequencing data analysis, and software tools for quality control are deeply entrenched in standard pipelines at most sequencing centers. Although the ...associated computations are straightforward, in many settings the total computing effort required for quality control is appreciable and warrants optimization. We present falco, an emulation of the popular FastQC tool that runs on average three times faster while generating equivalent results. Compared to FastQC, falco also provides greater scalability for datasets with longer reads and more flexible visualization of HTML reports.
Keywords Cardiac MRI; Quantitative T1-mapping; Multicenter study; Quality assurance; Standardization; Phantom study Highlights * CMR T1 correlated with reference T1 and T2; this derives the QA model ...for T1-map. * The proposed QA model is robust to temperature variations and phantom aging. * This QA method requires no frequent phantom replacements. * The T1-map QA program can be readily deployed in multicenter trials. Background Quantitative cardiovascular magnetic resonance T1-mapping is increasingly used for myocardial tissue characterization. However, the lack of standardization limits direct comparability between centers and wider roll-out for clinical use or trials. Purpose To develop a quality assurance (QA) program assuring standardized T1 measurements for clinical use. Methods MR phantoms manufactured in 2013 were distributed, including ShMOLLI T1-mapping and reference T1 and T2 protocols. We first studied the T1 and T2 dependency on temperature and phantom aging using phantom datasets from a single site over 4 years. Based on this, we developed a multiparametric QA model, which was then applied to 78 scans from 28 other multi-national sites. Results T1 temperature sensitivity followed a second-order polynomial to baseline T1 values (R.sup.2 > 0.996). Some phantoms showed aging effects, where T1 drifted up to 49% over 40 months. The correlation model based on reference T1 and T2, developed on 1004 dedicated phantom scans, predicted ShMOLLI-T1 with high consistency (coefficient of variation 1.54%), and was robust to temperature variations and phantom aging. Using the 95% confidence interval of the correlation model residuals as the tolerance range, we analyzed 390 ShMOLLI T1-maps and confirmed accurate sequence deployment in 90%(70/78) of QA scans across 28 multiple centers, and categorized the rest with specific remedial actions. Conclusions The proposed phantom QA for T1-mapping can assure correct method implementation and protocol adherence, and is robust to temperature variation and phantom aging. This QA program circumvents the need of frequent phantom replacements, and can be readily deployed in multicenter trials. Author Affiliation: (a) Oxford Centre for Clinical Magnetic Resonance Research, Oxford BRC NIHR, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (b) Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa (c) Cleveland Clinic, USA (d) Johns Hopkins Hospital, USA (e) Houston Methodist DeBakey Heart & Vascular Center, USA (f) Mount Sinai West Hospital; Icahn School of Medicine at Mount Sinai, USA (g) Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, USA (h) Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, USA (i) Stephenson Cardiac Imaging Centre, Libin Cardiovascular Institute, University of Calgary, Canada (j) Department of cardiovascular sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, UK (k) Inherited Cardiovascular Diseases, Barts Heart Centre, London, UK (l) Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK (m) King's College London and Guy's and St Thomas' NHS Foundation Trust, UK (n) Centre for Cardiovascular Science, University of Edinburgh, UK (o) National Heart and Lung Institute, Imperial College and Royal Brompton Hospital, London, UK (p) Institute of Cardiovascular & Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK (q) Aberdeen Cardiovascular and Diabetes Centre, College of Life Sciences and Medicine, University of Aberdeen, UK (r) Charite, University Medicine Berlin ECRC and Helios Clinics, Berlin, Germany (s) Department of Cardiology, Robert Bosch Medical Center, Stuttgart, Germany (t) Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Italy (u) Universita' Vita Salute San Raffaele, Milan, Italy (v) Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy (w) Erasmus MC, department of cardiology, Rotterdam, the Netherlands (x) dept. Radiology and Nuclear Medicine, Amsterdam UMC location VUmc, Amsterdam, The Netherlands (y) Cardiology Clinical Academic Group, St George's University of London, UK (z) Knight Cardiovascular Institute, Oregon Health and Science University, USA (aa) University Hospital Southampton NHS Trust, UK (ab) Mount Sinai Hospital, New York, NY, USA (ac) University of Bristol, UK (ad) Siemens Medical Solutions USA, Inc., Chicago, IL, USA (ae) Philips Electronics UK Limited, Surrey, UK (af) Biomedical Imaging Sciences Department, University of Leeds, Leeds, UK (ag) Edinburgh Imaging, Centre for Cardiovascular Science, University of Edinburgh, UK (ah) Montreal Heart Institute, Canada (ai) University Hospitals of Leicester NHS Trust, UK (aj) University of Virginia, USA (ak) The Cardiology Clinical Academic Group (CAG), St George's University of London, St George's University Hospitals NHS Foundation Trust, UK (al) Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, UK (am) Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, USA (an) Brigham and Women's Hospital, USA (ao) University of Virginia Health, USA * Corresponding author. Article History: Received 28 November 2020; Accepted 7 January 2021 Byline: Qiang Zhang qiang.zhang@cardiov.ox.ac.uk (a,*), Konrad Werys (a), Iulia A. Popescu (a), Luca Biasiolli (a), Ntobeko A.B. Ntusi (b), Milind Desai (c), Stefan L. Zimmerman (d), Dipan J. Shah (e), Kyle Autry (e), Bette Kim (f), Han W. Kim (g), Elizabeth R. Jenista (g), Steffen Huber (h), James A. White (i), Gerry P. McCann (j), Saidi A. Mohiddin (k), Redha Boubertakh (l), Amedeo Chiribiri (m), David Newby (n), Sanjay Prasad (o), Aleksandra Radjenovic (p), Dana Dawson (q), Jeanette Schulz-Menger (r), Heiko Mahrholdt (s), Iacopo Carbone (t), Ornella Rimoldi (u), Stefano Colagrande (v), Linda Calistri (v), Michelle Michels (w), Mark B.M. Hofman (x), Lisa Anderson (y), Craig Broberg (z), Flett Andrew (aa), Javier Sanz (ab), Chiara Bucciarelli-Ducci (ac), Kelvin Chow (ad), David Higgins (ae), David A. Broadbent (af), Scott Semple (ag), Tarik Hafyane (ah), Joanne Wormleighton (ai), Michael Salerno (aj), Taigang He (ak), Sven Plein (al), Raymond Y. Kwong (am), Michael Jerosch-Herold (an), Christopher M. Kramer (ao), Stefan Neubauer (a), Vanessa M. Ferreira (a), Stefan K. Piechnik (a)
•An online AUTO QC system is developed for facilitating total laboratory automation.•The AUTO QC system enables both customized QC driving and data analysis functions.•The AUTO QC system improved the ...quality and stability of detection.•The AUTO QC system reduced the out-of-control rate and biosecurity risks.•The AUTO QC system shortened the laboratory TAT and reduced costs.
We developed an efficient online automated quality control (AUTO QC) system and tested its feasibility on automatic laboratory assembly lines.
AUTO QC is based on developed quality control software (Smart QC) and designed adaptable consumables before. We applied the system to two assembly lines in our laboratory. Using third-party quality control samples, we evaluated the impact of the online AUTO QC system on out-of-control rate, biosecurity risk, turnaround time (TAT) and cost.
AUTO QC significantly decreased the occurrence rate of the Westgard quality control rules 13S/22S/R4s and 12S, representing out-of-control and warning, respectively. The out-of-control rates were reduced by 58%, and the potential biosecurity risk of the samples decreased by 90%. The AUTO QC implementation also reduced the median TAT (by 7 min), the number of full-time employees and the cost of the quality control samples (by 45%).
The total laboratory AUTO QC system can improve the quality and stability of QC testing and reduce cost.
The Good and the Bad of Mitochondrial Breakups Sprenger, Hans-Georg; Langer, Thomas
Trends in cell biology,
November 2019, 2019-11-00, 20191101, Letnik:
29, Številka:
11
Journal Article
Recenzirano
Mitochondrial morphology is a crucial determinant of mitochondrial and cellular function. Opposing fusion and fission events shape the tubular mitochondrial reticulum and ensure mitochondrial ...transport within cells. Cellular stress and pathophysiological conditions can lead to fragmentation of the mitochondrial network, which facilitates mitophagy and is associated with cell death. However, mitochondrial shape changes are also intertwined with the cellular metabolism, and metabolic switches can induce but also result from alterations in mitochondrial morphology. Here, we discuss recent advances in the field of mitochondrial dynamics, demonstrating cell- and tissue-specific effects of mitochondrial fragmentation on cellular metabolism, cell survival, and mitochondrial quality control.
Mitochondria constantly undergo fusion and fission events and form dynamic tubular and interconnected networks within cells.Mitochondrial fragmentation is induced by stress and metabolic cues and occurs during ageing and in disease.Transient mitochondrial fragmentation facilitates mitophagy, while chronic fragmentation is associated with cell death.The physiological consequences of mitochondrial fragmentation are cell-type and tissue specific.Pleiotropic functions of key players in fusion and fission machineries and various metabolic profiles of the cells may determine the outcome of mitochondrial fragmentation.
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