ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2019
Influence of Ultrasound System and Gain on Grayscale Median Values.
Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Grayscale Ultrasound Texture Features of Carotid and Brachial Arteries in People With HIV Infection Before and After Antiretroviral Therapy.Journal of the American Heart Association · 2022Trial
- Quantitative assessment and clinical value of right-to-left shunt in patent foramen ovale using three-dimensional transesophageal echocardiography combined with right-heart contrast: a prospective study.Cardiovascular diagnosis and therapy · 2026Article
- Computer-assisted analysis of pleural and subpleural lung ultrasound correlates with oxygenation in preterm infants.Scientific reports · 2026Article
- Negative binomial modeling of musculoskeletal ultrasound grayscale histograms: a three-device comparison and harmonization study.Frontiers in rehabilitation sciences · 2026Article
- The effect of mechanical ventilation on respiratory muscle echogenicity in critically ill children: an observational cohort study.BMC pediatrics · 2025Observational
- Skeletal Muscle Echo Intensity Values Differ Significantly across Ultrasound Parameter Settings.Life (Basel, Switzerland) · 2024Article
- High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility.Ultrasonic imaging · 2024Article
- Serum Uric Acid Levels Are Associated with the Echogenic Features of Carotid Plaque Vulnerability in Elderly Patients with Atherosclerotic Disease.Metabolites · 2023Article
- Quantitative lung ultrasound detects dynamic changes in lung recruitment in the preterm lamb.Pediatric research · 2023Article
- Article
- Shear wave elastography for extracranial carotid atherosclerotic plaques: technical principles and how to do it.Jornal vascular brasileiro · 2023Article
- Grayscale median (GSM) post-processing, posterizing, and color mapping for carotid ultrasound.Jornal vascular brasileiro · 2023Article
- Respiratory and peripheral muscular ultrasound characteristics in ICU COVID 19 ARDS patients.Journal of critical care · 2022Observational
- Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.Ultrasound in medicine & biology · 2020Article
- Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study.Journal of the American Heart Association · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectivesThe purpose of this study was to determine the reliability of grayscale median (GSM) measurements across different ultrasound (US) systems and effects of gain on GSM values.
methodsTwo vessels in a grayscale vascular phantom were imaged with 7 US systems at 3 gain settings. Two human participants were imaged at 3 gain settings. Each image was normalized, standardized, and segmented by expert and novice readers using grayscale analysis software. The concordance correlation coefficient (CCC) assessed agreement of GSM values for each system across gain settings and vessels and between readers. The intraclass correlation coefficient (ICC) assessed system-level reader concordance across gain settings and vessels. A general linear mixed model for repeated measures was used to assess within- and between-system mean GSM values.
resultsGrayscale median measurements performed on images from the same US system yielded excellent (CCC) (95% confidence intervals): 0.85 (0.75, 0.92) to 0.96 (0.92, 0.98). ICC per system were 0.94 to 0.98 for the expert reader and 0.85 to 0.95 for the novice reader. Gain adjustments above and below an optimal setting contributed to significantly different intrasystem GSM values on 4 of 7 systems in the near zone and 5 of 7 systems in the far zone (P < .05). Intersystem GSM values differed on 5 of 7 systems (P < .05). Images from the human participants showed differences in GSM values at optimum gain values ± 10 dB/%.
conclusionsGrayscale median measurements are highly reproducible when obtained from the same US system with similar gain settings. Grayscale median values differ significantly across gain values and between systems. Researchers should consider the impact of US system and gain settings on GSM values when working to minimize system- and operator-dependent factors.
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