Background/aims: Non-alcoholic fatty liver disease (NAFLD) is widespread chronic disease of the live in humans with the prevalence of 30% of the United States population. The goal of the study is to validate the performance of quantitative ultrasound algorithms in the assessment of hepatic steatosis in patients with suspected NAFLD.
Methods: This prospective study enrolled a total of 31 patients with clinical suspicion of NAFLD to receive liver fat measurements by quantitative ultrasound and reference MRI measurements (proton density fat-fraction, PDFF). The following ultrasound (US) parameters based on both raw ultrasound RF (Radio Frequency) data and 2D B-mode images of the liver were analyzed with subsequent correlation with MRI-PDFF: hepatorenal index, acoustic attenuation coefficient, Nakagami coefficient parameter, shear wave viscosity, shear wave dispersion and shear wave elasticity. Ultrasound parameters were also correlated with the presence of hypertension and diabetes.
Results: The mean (± SD) age and body mass index of the patients were 49.03 (± 12.49) and 30.12 (± 6.15), respectively. Of the aforementioned ultrasound parameters, the hepatorenal index and acoustic attenuation coefficient showed a strong correlation with MRI-PDFF derivations of hepatic steatosis, with -values of 0.829 and 0.765, respectively. None of the remaining US parameters showed strong correlations with PDFF. Significant differences in Nakagami parameters and acoustic attenuation coefficients were found in those patients with and without hypertension.
Conclusions: Hepatorenal index and acoustic attenuation coefficient correlate well with MRI-PDFF-derived measurements of hepatic steatosis. Quantitative ultrasound is a promising tool for the diagnosis and assessment of patients with NAFLD.
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http://dx.doi.org/10.1016/j.jceh.2022.01.007 | DOI Listing |
Radiology
January 2025
From the Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, China (W.L., L.S., R.Z., Y.Z.); and Medical Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Zhongshan 2nd Rd, Yuexiu District, Guangzhou 510000, People's Republic of China (J.L., H.L., X.Z., F.X., T.S., K.L., L.N.).
Background Photoacoustic microscopy (PAM) can be used to detect strong absorption from endogenous and exogenous contrast material, making it promising for detailed structural and functional imaging of hepatic sinusoids, including dynamic visualization of permeability. Purpose To evaluate whether PAM-based quantitative parameters of liver function and integrity (lacunarity, blood oxygen saturation [Sao], and Evans blue [EB] permeability) are associated with histopathologic indexes of fibrosis in a mouse model. Materials and Methods Between October 2022 and July 2023, a total of 35 male C57BL/6 mice were included in this study and received intraperitoneal injection of carbon tetrachloride to establish mouse models of progressive liver fibrosis, with seven mice in each group.
View Article and Find Full Text PDFJ Opt Soc Am A Opt Image Sci Vis
August 2024
Frequency-domain near-infrared spectroscopy (FD-NIRS) is a noninvasive method for quantitatively measuring optical absorption and scattering in tissue. This study introduces structured interrogation (SI) as an interference-based approach for implementing FD-NIRS in order to enhance optical property estimation in multilayered tissues and sensitivity to deeper layers. We find that, in the presence of realistic noise, SI accurately estimates properties and chromophore concentrations with less than a 5% error.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
Department of Nephrology, Ghent University Hospital Ghent, Belgium.
Objectives: We evaluated the performance of a novel flow cell morphology analyzer AUTION EYE AI-4510 for counting particles in urine.
Methods: Analytical performance was assessed according to the EFLM European Urinalysis Guideline 2023. Trueness was compared by analyzing 1.
NMR Biomed
March 2025
Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
In clinical practice, particularly in neurology assessments, imaging multiparametric MR images with a single-sequence scan is often limited by either insufficient imaging contrast or the constraints of accelerated imaging techniques. A novel single scan 3D imaging method, incorporating Wave-CAIPI and MULTIPLEX technologies and named WAMP, has been developed for rapid and comprehensive parametric imaging in clinical diagnostic applications. Featuring a hybrid design that includes wave encoding, the CAIPIRINHA sampling pattern, dual time of repetition (TR), dual flip angle (FA), multiecho, and optional flow modulation, the WAMP method captures information on RF B1t fields, proton density (PD), T1, susceptibility, and blood flow.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Oncology, McGill University, Montreal, QC, H3A 0G4, Canada.
Objectives: The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great importance for more effective treatment. Encouraged by the key role of imaging in the management of RCC, we conducted a systematic review and meta-analysis of the studies that made use of artificial intelligence (AI) for the detection of RCC to quantitatively determine the performance of AI for distinguishing related renal lesions.
Materials And Methods: PubMed, Scopus, CENTRAL, and Embase electronic databases were systematically searched in November 2024 to identify studies that applied AI for the detection or classification of RCC.
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