Introduction: Standards for online multiple-breath (mb) exhaled nitric oxide (eNO) measurements and studies comparing them with online single-breath (sb) eNO measurements are lacking, although eNOmb requires less cooperation in children at school age or younger.
Methods: Online eNOmb and eNOsb were measured in 99 healthy children and (in order to observe higher values) in 21 children with suspected asthma at a median age of 6.1 and 11.7 y, respectively. For eNOmb, we aimed for 20 tidal breathing maneuvers; eNOsb was measured according to standards. The two techniques were compared by standard methods after computing NO output or extrapolating eNOmb to the standard flow of 50 ml/s (eNOmb(50)).
Results: Measurements were acceptable in 82 (eNOmb) and 81 (eNOsb) children. Paired data were available for 65 children. On a log-log scale, eNOmb(50) (geometric mean ± SD 13.1 ± 15.5 parts per billion, ppb) was correlated with eNOsb (12.5 ± 15.8 ppb), with r(2) = 0.87. The mean difference between eNOsb and eNOmb(50) was -0.7 ppb, with limits of agreement (LOAs) of 4.0 and -5.3 ppb.
Discussion: Despite its correlation with eNOsb, the LOA range hampers eNOmb use in research, where exact values across the whole range are warranted. However, eNOmb might be an alternative tool especially at preschool age, when cooperation during measurements is crucial.
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http://dx.doi.org/10.1038/pr.2012.13 | DOI Listing |
J Breath Res
November 2023
Universidade de Pernambuco-UPE, Graduate Program in Hebiatrics, Recife, Pernambuco, Brazil.
Pulmonary function is usually assessed by measuring Vital Capacity (VC) using equipment such as a spirometer or ventilometer, but these are not always available to the population, as they are relatively expensive tests, difficult to transport and require trained professionals. However, the single breath counting technique (SBCT) appears as a possible alternative to respiratory function tests, to help in the pathophysiological understanding of lung diseases. The objective is to verify the applicability of the SBCT as a parameter for evaluating VC.
View Article and Find Full Text PDFRadiology
February 2023
From the Departments of Radiology (D.H., R.Z., D.T.H., S.B.R.), Medical Physics (D.H., R.Z., S.B.R.), Statistics (X.M.), Biostatistics and Medical Informatics (L.M.), Medicine (R.J.M.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine, University of Wisconsin-Madison, 1111 Highland Ave, WIMR2, Room 2472, Madison, WI 53705 (S.B.R.); Department of Radiology (Q.Y., I.P., T.Y.) and Advanced Imaging Research Center (I.P., T.Y.), University of Texas Southwestern Medical Center, Dallas, Tex; Department of Radiology, The Johns Hopkins University, Baltimore, Md (M.A.G., I.R.K.); Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany (S.R., D.C.K.); and Departments of Pediatrics (M.R.J.) and Radiology (S.V.), Stanford University, Palo Alto, Calif.
Radiology
January 2023
From the Departments of Radiology (S.F., K.S., H.K., I.F., Y.M., K.K., S.A.), Human Pathology (Y.F.), and Gastroenterology (K.I.), Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo, Tokyo 113-8421, Japan; Department of Radiology, University of Tokyo, Tokyo, Japan (S.F., Y.M., O.A.); Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom (G.C., R.M.B., C.P.); Department of MR Clinical Science, Philips Japan, Tokyo, Japan (M.Y.); School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile (R.M.B., C.P.).
Background Liver MR fingerprinting (MRF) enables simultaneous quantification of T1, T2, T2*, and proton density fat fraction (PDFF) maps in single breath-hold acquisitions. Histopathologic correlation studies are desired for its clinical use. Purpose To compare liver MRF-derived metrics with separate reference quantitative MRI in participants with diffuse liver disease, evaluate scan-rescan repeatability of liver MRF, and validate MRF-derived measurements for histologic grading of liver biopsies.
View Article and Find Full Text PDFRadiology
October 2022
From the Department of Radiology, National Cerebral and Cardiovascular Center, 6-1 Kishibe-shinmachi, Suita 564-8565, Japan (T.N., T.K., H.T., A.K., Y.O., Y.M., H.H., T.F.); Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Japan (T.K., K.U., J.O., T.I.); Medical Informatics Section, QST Hospital (K.U., J.O.), and Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science (K.U., J.O.), National Institutes for Quantum Science and Technology, Chiba, Japan.
Background To improve myocardial delayed enhancement (MDE) CT, a deep learning (DL)-based post hoc denoising method supervised with averaged MDE CT data was developed. Purpose To assess the image quality of denoised MDE CT images and evaluate their diagnostic performance by using late gadolinium enhancement (LGE) MRI as a reference. Materials and methods MDE CT data obtained by averaging three acquisitions with a single breath hold 5 minutes after the contrast material injection in patients from July 2020 to October 2021 were retrospectively reviewed.
View Article and Find Full Text PDFBioengineering (Basel)
November 2021
Department of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.
Dynamic lung imaging is a major application of Electrical Impedance Tomography (EIT) due to EIT's exceptional temporal resolution, low cost and absence of radiation. EIT however lacks in spatial resolution and the image reconstruction is very sensitive to mismatches between the actual object's and the reconstruction domain's geometries, as well as to the signal noise. The non-linear nature of the reconstruction problem may also be a concern, since the lungs' significant conductivity changes due to inhalation and exhalation.
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