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Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.19372
Abstract: Key Points Question What are the diagnostic performances and methodologic challenges of using electronic noses (e-noses) to detect cancer in exhaled breath? Findings This systematic review and meta-analysis identified 52 studies with 3677 patients with…
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Keywords:
cancer;
noses cancer;
electronic noses;
exhaled breath ... See more keywords
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Published in 2020 at "Cancer Medicine"
DOI: 10.1002/cam4.3276
Abstract: Abstract Liquid biopsy is a promising method in detecting colorectal cancer (CRC). However, previous meta‐analyses only focused on the diagnostic performance of cell‐free DNA (cfDNA). Therefore, we firstly evaluated the overall performance of all liquid…
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Keywords:
liquid biopsy;
biopsy;
biopsy methods;
diagnostic performance ... See more keywords
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Published in 2022 at "Catheterization and Cardiovascular Interventions"
DOI: 10.1002/ccd.30078
Abstract: We compared the diagnostic performance of the ultrasonic flow ratio (UFR) and quantitative flow ratio (QFR) for left main coronary artery (LMCA) stenosis.
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Keywords:
flow ratio;
flow;
left main;
diagnostic performance ... See more keywords
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Published in 2022 at "Catheterization and Cardiovascular Interventions"
DOI: 10.1002/ccd.30242
Abstract: The status of coronary microcirculation determines health‐ related outcomes in patients, despite the presence of coronary artery disease. Multiple measurement methods have been described in the literature. The index of microvascular resistance (IMR) advantages include…
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Keywords:
microcirculation;
imr;
assessment;
imrangio ... See more keywords
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Published in 2022 at "Catheterization and Cardiovascular Interventions"
DOI: 10.1002/ccd.30526
Abstract: Noninvasive methods of estimating invasively measured fractional flow reserve (FFRinvasive) are actively being explored, aiming to avoid the use of an invasive pressure wire and the administration of hyperemia‐inducing drugs. Coronary angiography‐derived FFR (FFRangio) has…
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Keywords:
fractional flow;
angiography derived;
diagnostic performance;
performance ... See more keywords
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Published in 2022 at "ESC heart failure"
DOI: 10.1002/ehf2.13886
Abstract: AIMS The aim of this study was to compare the diagnostic performance of the nutritional indicators, the mini nutritional assessment-short form (MNA-SF), the geriatric nutritional risk index (GNRI), and the controlling nutritional status (CONUT), in…
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Keywords:
conut score;
nutritional indicators;
conut;
diagnostic performance ... See more keywords
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Published in 2022 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.23379
Abstract: To investigate the diagnostic performance of gray‐scale ultrasound (US) and shear wave elastography (SWE) for determining salivary gland involvement primary Sjögren's syndrome (pSS).
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Keywords:
performance gray;
shear wave;
gray scale;
scale ultrasound ... See more keywords
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Published in 2023 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.23446
Abstract: To describe the incidence and diagnostic performance of ultrasound for perianal abscess or fistula‐in‐ano in pediatric patients with perianal inflammation.
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Keywords:
incidence diagnostic;
ultrasound perianal;
perianal abscess;
abscess fistula ... See more keywords
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Published in 2017 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.25597
Abstract: To explore the relationship among parameters of magnetic resonance spectroscopy (MRS) and amide proton transfer (APT) imaging, and to assess the diagnostic performance of MRS and APT imaging for grading brain tumors in comparison with…
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Keywords:
diagnostic performance;
proton;
amide proton;
proton transfer ... See more keywords
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Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28211
Abstract: The focus of neuro‐oncology research has changed from histopathologic grading to molecular characteristics, and medical imaging routinely follows this change.
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Keywords:
performance gliomas;
idh status;
status decoding;
grading idh ... See more keywords
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Published in 2021 at "Journal of Ultrasound in Medicine"
DOI: 10.1002/jum.15684
Abstract: We study the performance of an artificial intelligence (AI) program designed to assist radiologists in the diagnosis of breast cancer, relative to measures obtained from conventional readings by radiologists.
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Keywords:
breast;
diagnostic performance;
artificial intelligence;
performance artificial ... See more keywords