Ultrasound and Multimodal Diagnostics in Personalized Medicine

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

Deadline for manuscript submissions: 31 January 2027 | Viewed by 490

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Department of Pharmacology, Clinical Pharmacology and Toxicology, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
Interests: pharmacology; Doppler ultrasound; ultrasound
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Special Issue Information

Dear Colleagues,

Recent advances in medical ultrasound are substantially redefining the detection, characterization, and longitudinal assessment of diseases within the framework of personalized medicine. At the same time, progress in multimodal diagnostics—including molecular biomarkers, laboratory parameters, and artificial intelligence-assisted analysis—is enabling more comprehensive and individualized patient evaluation.

Ultrasound, as a widely accessible and versatile imaging modality, plays an increasingly important role when integrated with other diagnostic approaches. Innovations in high-resolution imaging, quantitative ultrasonography, elastography, and contrast-enhanced techniques, combined with advances in biomarker discovery and data integration, are supporting more precise diagnosis, risk stratification, and treatment monitoring.

This Special Issue aims to highlight current developments in ultrasound and integrated diagnostic strategies in personalized medicine. We welcome original research articles, reviews, case reports, and short communications addressing ultrasound-based methodologies, multimodal diagnostic approaches, AI-driven analytics, and translational applications that connect imaging, laboratory, and clinical data to improve individualized patient care.

Dr. Ştefan Cristian Vesa
Guest Editor

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Keywords

  • ultrasound
  • imaging
  • diagnostics
  • elastography
  • contrast-enhanced ultrasound
  • multimodal imaging

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Published Papers (1 paper)

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Research

16 pages, 602 KB  
Article
Diagnostic Yield and Safety of Pulmonologist-Performed Ultrasound-Guided Transthoracic Core Biopsy: A Seven-Year Cohort Study
by Ruxandra Mioara Râjnoveanu, Adriana Părău, Gabriel Flaviu Brișan, Mădălina Valeanu, Jenica Maria Șimon, Doina Adina Todea, Milena Adina Man, Corina Eugenia Budin, Vlad Alexandru Harnuț, Bogdan Fetica and Armand Gabriel Râjnoveanu
Diagnostics 2026, 16(12), 1913; https://doi.org/10.3390/diagnostics16121913 (registering DOI) - 19 Jun 2026
Viewed by 99
Abstract
Background/Objectives: Given rising lung cancer incidence and limited data on pulmonologist-performed ultrasound-guided transthoracic core biopsy (US-TTCB), in this study, we evaluated diagnostic yield and safety for pleural or pulmonary lung masses, using Clavien–Dindo classification to standardize complication reporting. Methods: We retrospectively [...] Read more.
Background/Objectives: Given rising lung cancer incidence and limited data on pulmonologist-performed ultrasound-guided transthoracic core biopsy (US-TTCB), in this study, we evaluated diagnostic yield and safety for pleural or pulmonary lung masses, using Clavien–Dindo classification to standardize complication reporting. Methods: We retrospectively reviewed single-center pulmonologist-performed US-TTCB using a MEDONE biopsy gun with a 16 G/18 G Tru-Cut needle between January 2019 and December 2025. The primary endpoints were diagnostic yield, defined as specific malignant or benign histology, and complication rate. Non-diagnostic results were assessed using available clinical/imaging follow-up. Univariate analyses screened candidate correlates, and a prespecified computer tomography (CT)-completed subanalysis (n = 67) used multivariable logistic regression and receiver operating characteristic (ROC) analysis to assess CT lesion size discrimination. Results: Diagnostic yield was 84.2% (202/240); complications occurred in 12.1% (29/240), including one Clavien–Dindo Grade III event (0.4%). In the CT-completed subset (n = 67), diagnostic yield was independently associated with CT lesion size (aOR 1.03/mm, 95% CI 1.00–1.05; p = 0.022) and Chronic Obstructive Pulmonary Disease (COPD) (aOR 2.30, 95% CI 1.06–4.96; p = 0.034); CT lesion size showed an area under the curve (AUC) of 0.717 for predicting yield. Diagnostic yield remained stable over time (84.2% in first vs. second half; p = 1.00), with no association between case order and yield (OR 0.999; p = 0.64). Conclusions: US-TTCB of pleural/pulmonary masses achieved a high diagnostic yield with minimal major complications. Large CT dimension and COPD were associated with higher diagnostic success, and CT size provided fair discrimination for predicting yield; findings should be interpreted in the context of the retrospective single-center design and the restricted CT-completed subset. Full article
(This article belongs to the Special Issue Ultrasound and Multimodal Diagnostics in Personalized Medicine)
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