Advanced Ultrasound Techniques in Diagnosis

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 550

Special Issue Editor


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Guest Editor
Clinical Research Core, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
Interests: advanced ultrasound imaging; contrast enhanced ultrasound; quantitative image analysis; computer-aided diagnosis; machine learning; radiomics

Special Issue Information

Dear Colleagues,

This Special Issue on “Advanced Ultrasound Techniques in Diagnosis” seeks to spotlight cutting-edge ultrasound innovations that are revolutionizing diagnostic accuracy across a wide spectrum of medical disciplines. With ultrasound continuing to evolve as the cornerstone of non-invasive imaging, this issue will delve into its latest breakthroughs, including contrast-enhanced ultrasound (CEUS), microvascular imaging (MVI), super-resolution imaging, elastography, and the integration of AI-powered technologies.

We invite high-impact contributions that introduce novel applications, report significant technical advancements, and validate the clinical implementations of these advanced ultrasound modalities. The scope spans quantitative analysis, ultrasound radiomics, multi-modal ultrasound integration, and the creation of new imaging protocols aimed at enhancing diagnostic precision. This Special Issue will explore transformative ultrasound techniques, offering a comprehensive platform for research bridging traditional and emerging ultrasound technologies, fostering innovation, and delivering actionable insights for improving patient outcomes, shaping the future of diagnostic imaging.

Dr. Laith Riyadh Sultan
Guest Editor

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Keywords

  • super-resolution imaging
  • microvascular imaging (MVI)
  • contrast-enhanced ultrasound
  • AI-guided ultrasound
  • quantitative analysis
  • diagnostic imaging

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Published Papers (1 paper)

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Research

11 pages, 4522 KiB  
Article
Evaluation of Ovarian Stromal Microvascularity and Clinical-Hormonal Associations in Reproductive-Aged Women with Polycystic Ovary Morphology
by Hakan Baş and Süleyman Filiz
Diagnostics 2025, 15(11), 1376; https://doi.org/10.3390/diagnostics15111376 - 29 May 2025
Viewed by 193
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Advanced Ultrasound Techniques in Diagnosis)
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