Ultrasonography最新文献

Purpose: This study aimed to establish baseline morphological and functional data for normal mouse kidneys via a clinical 33 MHz ultra-high-frequency (UHF) transducer, compare the data with the findings from fibrotic mice, and assess correlations between ultrasonography (US) parameters and fibrosis-related markers.

Methods: This retrospective study aggregated data from three separate experiments (obstructive nephropathy, diabetic nephropathy, and acute-to-chronic kidney injury models). Morphological parameters (kidney size, parenchymal thickness [PT]) and functional (shear-wave speed [SWS], stiffness, resistive index [RI], and microvascular imaging-derived vascular index [VI]) were assessed and compared between normal and fibrotic mouse kidneys. Semi-quantitative histopathologic scores were calculated and molecular markers (epithelial cadherin), Collagen 1A1 [Col1A1], transforming growth factor-β, and α-smooth muscle actin [α-SMA]) were evaluated using western blots. Correlations with US parameters were explored.

Results: Clinical UHF US successfully imaged the kidneys of the experimental mice. A three-layer configuration was prevalent in the normal mouse kidney parenchyma (34/35) but was blurred in most fibrotic mouse kidneys (33/40). US parameters, including size (11.14 vs. 10.70 mm), PT (2.07 vs. 1.24 mm), RI (0.64 vs. 0.77), VI (22.55% vs. 11.47%, only for non-obstructive kidneys), SWS (1.67 vs. 2.06 m/s), and stiffness (8.23 vs. 12.92 kPa), showed significant differences between normal and fibrotic kidneys (P<0.001). These parameters also demonstrated strong discriminative ability in receiver operating characteristic curve analysis (area under the curve, 0.76 to 0.95; P<0.001). PT, VI, and RI were significantly correlated with histological fibrosis markers (ρ=-0.64 to -0.68 for PT and VI, ρ=0.71-0.76 for RI, P<0.001). VI exhibited strong negative correlations with Col1A1 (ρ=-0.76, P=0.006) and α-SMA (ρ=-0.75, P=0.009).

Conclusion: Clinical UHF US effectively distinguished normal and fibrotic mouse kidneys, indicating the potential of US parameters, notably VI, as noninvasive markers for tracking fibrosis initiation and progression in mouse kidney fibrosis models.

Purpose: Assessing the severity of breast cancer-related lymphedema (BCRL) requires various clinical tools, yet no standardized methodology is available. Ultrasonography shows promise for diagnosing lymphedema and evaluating its severity. This study explored the clinical utility of ultrasonography in patients with BCRL.

Methods: In this retrospective cross-sectional study, patients with unilateral BCRL were examined. The analyzed data included demographics, lymphedema location, International Society of Lymphology (ISL) stage, surgical history, treatment regimens, and arm circumference. Skin, subcutis, and muscle thicknesses were assessed ultrasonographically at predetermined sites, and the percentage of excess thickness was calculated. Multivariate logistic regression analysis was employed to identify associations between ultrasonographic measurements and advanced lymphedema (ISL 2 or 3). The Lymphedema Quality of Life arm questionnaire was used to evaluate patient-reported outcomes regarding lymphedema and their correlations with ultrasonographic findings.

Results: Among 118 patients, 71 were classified as ISL 0-1 and 47 as ISL 2-3. Patients with advanced lymphedema were older, had higher nodal stages, underwent more axillary lymph node dissections, and had higher rates of dominant-arm lymphedema. Multivariate logistic regression revealed significant associations of greater skin thickness (adjusted odds ratio [OR], 4.634; 95% confidence interval [CI], 1.233 to 17.419), subcutis thickness (adjusted OR, 7.741; 95% CI, 1.649 to 36.347), and subcutis echogenicity (adjusted OR, 4.860; 95% CI, 1.517 to 15.566) with advanced lymphedema. Furthermore, greater skin thickness (P=0.016) and subcutis echogenicity (P=0.023) were correlated with appearance-related discomfort.

Conclusion: Ultrasonographic measurements were significantly associated with advanced lymphedema in BCRL. Ultrasonography represents a valuable diagnostic and severity assessment tool for lymphedema.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) as the reference standard.

Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses.

Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710).

Conclusion: QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.