Observational studyScientific reports2025
Multimodal ultrasound assessment for monitoring keloid severity and treatment response.
Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06034587 (A Prospective, Longitudinal, Intraindividual Clinical Study in Keloid With Multimodal Ultrasound Assessment), which is not on this map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Prospective, Longitudinal, Intraindividual Clinical Study in Keloid With Multimodal Ultrasound Assessment
Who cites it
5 citing papers in PubMed.
- Multimodal Non-Invasive Skin Imaging in Dermatology: Current Modalities, Clinical Applications, and Future Integration.Diagnostics (Basel, Switzerland) · 2026Review
- Ultrasound-Based Techniques for Visualization of Dermal Microvasculature: A Scoping Review.Diagnostics (Basel, Switzerland) · 2026Review
- Deciphering the cellular landscape of pathological scars.Burns & trauma · 2026Article
- Update on newer ultrasound systems to study the microvasculature.La Radiologia medica · 2025Review
- A PIEZO-Gated Mechanotransduction Timing Window Governs Scar Commitment in Wound Healing.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current understanding and a standardized assessment or treatment guidelines for keloids are not fully established, highlighting the need for an objective method to gauge keloid severity and treatment outcomes. This study investigated the clinical utility of multimodal ultrasound, integrating Shear Wave Elastography (SWE) and Angio planewave ultrasensitive imaging (AP), to assess keloid severity and treatment responses in 58 keloids across 31 patients. Keloids were categorized into mild, moderate, and severe based on Vancouver Scar Scale (VSS) scores. The results revealed significant differences in keloid thickness, elasticity parameters, and blood flow levels among severity groups, with the AP technique demonstrated superior sensitivity in detecting keloid microcirculation. Additionally, the study evaluated the therapeutic response to Strontium-90 Yttrium-90 isotope applicator treatment in 28 keloids, categorizing them into 13 good responders and 15 poor responders based on improvements observed in their VSS scores. Good responders demonstrated marked improvements post-treatment, including significant flattening of the keloids, decreased stiffness, and normalization of blood flow levels. In contrast, poor responders exhibited minimal changes in keloid thickness, stiffness, and blood flow signals following treatment. These findings underscore the effectiveness of multimodal ultrasound in evaluating treatment responses in keloid management. In conclusion, multimodal ultrasound, focusing on SWE and AP modalities, offers a promising tool for comprehensive assessment, with potential to enhance keloid evaluation and track treatment responses across varying therapeutic interventions, thereby facilitating optimized clinical management and guiding personalized treatment. The study was successfully registered on ClinicalTrials.gov on 12/09/2023, with the Identifier NCT06034587.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.