The Relationship Between Ultrasonography-Measured Abdominal Subcutaneous Fat Thickness with Sarcopenia/Sarcopenic Obesity and Anthropometric Measurements - European Journal of Geriatrics and Gerontology

Background/Objectives: This study aims to assess ovarian stromal vascularity using microvascular imaging in reproductive-aged women with polycystic ovarian morphology (PCOM) and to explore its associations with endocrine parameters and polycystic ovary syndrome (PCOS) phenotypes. Methods: We conducted a retrospective, single-center study between January 2021 and November 2023. Women aged 18–49 who met the PCOM criteria (≥20 follicles measuring 2–9 mm or an ovarian volume >10 cm³ in at least one ovary) were included. Pelvic ultrasound with MV-Flow Doppler imaging was used to quantify the stromal vascularity index (VI). On the same day, serum levels of FSH, LH, total and free testosterone, DHEAS, and estradiol were measured. PCOS phenotypes (A, C, D, and non-PCOS) were classified according to the Rotterdam criteria. Statistical analysis involved interobserver agreement using intraclass correlation coefficients (ICCs), correlation analysis for hormonal associations, and group comparisons using ANOVA. Results: A total of 111 women (mean age: 27.4 ± 6.1 years) were evaluated. The mean VI was 43.88 ± 19.84, with good interobserver agreement (ICC = 0.79; 95% CI: 0.65–0.88). VI was highest in Phenotype A (61.36 ± 10.11), followed by Phenotype C (42.57 ± 3.59), Phenotype D (26.47 ± 4.24), and Non-PCOS individuals (9.95 ± 5.44; p < 0.001). VI showed strong positive correlations with total testosterone (r = 0.797) and free testosterone (r = 0.778), and a moderate negative correlation with DHEAS (r = −0.483; p < 0.001). Conclusions: Microvascular imaging is a promising tool for quantifying ovarian stromal vascularity in PCOM. Its strong correlation with androgen levels, especially in hyperandrogenic phenotypes, highlights its potential role in enhancing diagnostic precision and deepening our understanding of PCOS pathophysiology.

Background/Objectives: We aimed to characterize the microvascular imaging (MI) to demonstrate in hepatic hemangiomas in routine practice and to quantify the impact of lesion depth on MI signal detectability, and—when present—describe the distribution of MI appearances. Methods: In this single-center, retrospective study from January 2021 to December 2023, we screened 91 patients with 121 focal hepatic lesions on ultrasound. Lesions without typical hemangioma enhancement on dynamic MRI or dynamic CT were excluded. Two radiologists independently assessed MI signals and patterns using the Jeon classification, blinded to clinical and CT/MRI data; inter-observer agreement was quantified with Cohen’s κ. Results: Of 121 screened lesions, 36 lacked typical enhancement and were excluded; 85 hemangiomas remained. A total of 13 were excluded for motion artifacts near the heart or pulsatile vessels, yielding 72 hemangiomas (61 patients) for analysis. No lesion showed flow on color or power Doppler. MI signals were detected in 68/72 hemangiomas (94.4%). Among signal-positive lesions (n = 68), the patterns were non-specific in 25.0% (17/68), nodular rim in 22.1% (15/68), strip rim in 17.6% (12/68), central dot-like in 16.2% (11/68), peripheral dot-like in 10.3% (7/68), and staining in 8.8% (6/68). Signal-negative lesions were deeper than signal-positive lesions (median depth: 85 mm vs. 41.5 mm; p < 0.05). The inter-observer agreement was very good (κ = 0.821, 95% CI 0.767–0.921). Conclusions: MI is a reproducible, contrast-free technique that demonstrates hemangioma vascularity with high detection rates, particularly in more superficial lesions. In this cohort, lesion depth rather than size was the primary determinant of MI signal detectability. MI should be considered complementary to CT/MRI and may be especially useful where contrast agents are unavailable or contraindicated.