Journal of Ultrasound in Medicine最新文献

Objectives

The aim of this study was to use quantitative ultrasound (QUS) parameters to assess the muscle mass and quality in patients with lymphoma. Additionally, the study aimed to investigate the relationship between these QUS parameters and post-chemotherapy myelosuppression.

Methods

The study cohort comprised 202 patients diagnosed with lymphoma (105 males, 97 females; mean age 57.0 ± 14.9 years). The skeletal muscle index (SMI) and mean skeletal muscle density (SMD) were measured on CT and used as the gold standards to evaluate low skeletal muscle mass and quality. The muscle thickness (MT) of the forearm flexor and extensor muscles was measured in both the relaxed and contracted states, while the normalized non-linear parameter B/A (MusQBOX.NLP) and normalized mean intensity (MusQBOX.NMI) were extracted from retained ultrasound radiofrequency signals. The correlations between the QUS parameters and grip strength were assessed. Models were constructed using these QUS parameters to predict low SMI and SMD, and to evaluate whether these factors were independently associated with post-chemotherapy myelosuppression.

Results

The MT in both the relaxed and contracted states exhibited the strongest correlations with grip strength, while the MusQBOX.NLP and MusQBOX.NMI were only weakly correlated with grip strength. Models incorporating QUS parameters to predict low SMI and SMD achieved high area under the receiver operating characteristic curve values. The MT, MusQBOX.NLP, and MusQBOX.NMI were independent factors associated with post-chemotherapy myelosuppression.

Conclusions

QUS parameters show promise in characterizing muscle strength, mass, and quality. They are also independent factors influencing post-chemotherapy myelosuppression.

Objectives

The aim of the present study was to assess the reliability of aponeurosis and muscle thickness of the hamstrings using ultrasound (US).

Methods

US images were captured from the semitendinosus (ST) and biceps femoris long head (BFlh) of 30 individuals (15 females), undergoing two testing sessions with a 24-hour interval. Measurements were taken at six sites along the thigh at two knee angles (0° = full extension and 90°) in prone position. Aponeurosis and muscle thickness across the entire length of ST and BFlh were evaluated using computational image segmentation which generated ~360 data points per participant.

Results

The intraclass correlation coefficients ranged from 0.937 to 0.998 while the standard error of measurement varied from 0.88 to 2.72% for superficial aponeurosis, from 1.41 to 2.29% for deep aponeurosis, and from 1.50 to 4.22% for muscle thickness. The minimal detectable change ranged from 2.44 to 7.56% for the superficial aponeurosis, from 3.57 to 6.27% for deep aponeurosis, and from 4.17 to 11.70% for BF and ST muscle thickness.

Conclusions

Evaluation of hamstring aponeurosis and muscle thickness measurements at rest displayed very high reliability and, hence, such measurements can be used to diagnose changes in thickness due to injury or exercise interventions.

Objectives

The reported prevalence of adenomyosis ranges widely due to different study populations, diagnostic tests and criteria. Categorizing the severity of disease may prove important. This study aims to develop a semi-quantifiable sonographic method to grade the severity of adenomyosis and assess the feasibility and interobserver reliability of this method.

Methods

Cross-sectional pilot study performed at a gynecology outpatient clinic, included 35 premenopausal women with adenomyosis, not taking hormonal medication. Diagnosis required ≥1 direct sonographic feature of adenomyosis. Two-dimensional (2D) grayscale video clips and 3-dimensional (3D) volumes of the uterus of the first 5 patients were evaluated using 6 offline methods to assess feasibility. Feasible methods were analyzed for interobserver (n = 3) reliability (Fleiss kappa or intraclass correlation) and compared with current ultrasound methods (Cohen's weighted kappa and Spearman's rank correlation). Current methods include real-time estimation (mild/moderate/severe) and counting the individual sonographic features.

Results

“eXtended Imaging virtual organ computer-aided analysis (XI VOCAL) counting” (counting affected slices of 20 parallel slices in the 3D volume), “Multiplanar and 3D rendering (MPR) estimation” (grading volume by eyeballing in multiplanar render mode), and “2D-clip estimation” (grading volume in 2D-clips) emerged as feasible methods. “XI VOCAL counting” and “2D-clip estimation” demonstrated good interobserver reliability, whereas “MPR estimation” had poor reliability. Comparison with real-time estimation showed moderate reliability with all methods. “XI VOCAL counting” and “MPR estimation” correlated positively with the number of sonographic features.

Conclusion

“XI VOCAL counting” demonstrated to be feasible with good interobserver reliability to assess the severity of adenomyosis in an objective, systematic, and semi-quantifiable fashion and should be validated with large-scale studies for future use. Future studies should also explore the association between sonographic severity and symptoms of adenomyosis.

Objective

To assess the reproducibility of standardized 3-dimensional (3D) ultrasound volume analysis of the dimensions and the position of cesarean birth (CB) scar niche relative to the cervix in pregnant women.

Methods

This prospective single-center study in women with 1 previous CB ≥8 cm cervical dilatation acquired ultrasound volumes between 11 and 24 weeks' gestation in a mid-sagittal plane. Two experienced operators processed the volumes using virtual organ computer-aided analysis. A CB scar niche was defined as an indentation at the scar site of ≥2 mm in depth. Niche and cervix volumes were calculated using manual contouring. Agreement for categorical variables was expressed using intraclass correlation coefficient (ICC). The Bland–Altman method was used to assess numerical variable reproducibility.

Results

To achieve the desired statistical power, 52 participants were included. The intraobserver agreement on niche classification relative to the internal os was 100%, with an interobserver kappa coefficient of 0.98 (95% confidence interval [CI] 0.97–0.99, P < .05).

The intraobserver ICC for niche volume was 0.94 (95% CI 0.90–0.96; P < .001), with a mean difference of −15.32 mm³ (±109.32). The interobserver ICC was 0.78 (95% CI 0.62–0.87; P < .001), with a mean difference of −21.57 mm³ (±202.01). The ICC for niche/cervix volume ratio were 0.94 (95% CI 0.90–0.96; P < .001) and 0.79 (95% CI 0.63–0.87; P < .001) for intra- and interobserver reproducibility, respectively.

Conclusions

This study demonstrates that 3D CB scar sonographic features are highly reproducible in pregnant women with a history of advanced labor CB. The validated protocol can guide future research on the association with subsequent adverse pregnancy outcomes.

Objectives

Contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) is used to definitively diagnose hepatocellular carcinoma (HCC) in patients at risk. However, the user variability associated with CEUS LI-RADS has not been validated in North American and European patients. This study aims to evaluate the inter-reader agreements of CEUS LI-RADS features for, and final categorization of, HCC in patients at risk.

Methods

This retrospective multicenter clinical study used the database of a previous prospective multinational study, evaluating the accuracy of CEUS LI-RADS for HCC diagnosis in patients at risk. All cases were first evaluated by a site physician performing/supervising the CEUS examination. Randomly selected cases were re-evaluated by a blinded central reader. Final diagnosis was confirmed with the reference standard, which was a composite of imaging tests and histology. Cohen's kappa test was used to evaluate inter-reader agreement.

Results

This study included 150 liver nodules and 58.0% (87/150) were confirmed as HCC, 4.7% (7/150) non-HCC malignancies, 22.7% (34/150) had no confirmed final diagnosis, and 14.7% (22/150) were nonmalignant. Inter-reader agreements were substantial for CEUS LI-RADS categorization (κ = 0.61; 95% confidence interval [CI]: 0.51–0.71) and major features assessment (ranged κ = 0.64–0.78), LR-5 (κ = 0.65; 95% CI: 0.52–0.77), and LR-M (κ = 0.67; 95% CI: 0.44–0.90), while for LR-1 and LR-2 categorization was almost perfect (κ = 0.85; 95% CI: 0.65–1.00).

Conclusion

Our study reported a substantial inter-reader agreement for overall CEUS LI-RADS categorization, especially for LR-5 and LR-M, and major imaging features of HCC, further confirming CEUS LI-RADS as a valuable and reliable tool for diagnosis of HCC.

Objectives

To evaluate for distinguishing demographic and sonographic features of small (<3 cm) endophytic angiomyolipomas (AMLs) that differentiate them from endophytic renal cell carcinomas (RCCs).

Methods

This is a Health Insurance Portablitiy and Accountablity Act (HIPAA)-compliant retrospective review of the demographics and ultrasound features of endophytic renal AMLs compared to a group of endophytic RCCs. AMLs were confirmed by identifying macroscopic fat on computed tomography (CT) or magnetic resonance imaging (MRI), while RCCs were pathologically proven. Statistical analysis was used to compare findings in the 2 groups.

Results

There were a total of 66 patients with 66 AMLs, and 28 patients with 28 RCCs. Of the AMLs, 57 of 66 were in females, while 10 of the 28 RCC cases were in females (P < .0001). The mean AML long and short diameters were 11.0 × 9.3 mm and were statistically significantly smaller (P < .0001) than the diameters of the RCCs (23.4 × 22.1 mm). Likewise, the ratio of the long axis to the short axis measurement was statistically significantly different between the 2 groups (P < .0001). Of the studied sonographic features, statistically different features between AMLs and RCCs included an oval versus a round shape (P < .001), respectively, and the presence versus absence of an echogenic margin, respectively. Location of the mass, mass homogeneity, mass lobulation, and presence of cystic components were not distinguishing features using P < .01 levels.

Conclusion

For an endophytic echogenic mass in a female patient, a small size with an oval shape and an echogenic margin is statistically more likely to be an AML than an RCC, which may be helpful with management decisions.