ArticleLasers in surgery and medicine2022
Assessment of a 3050/3200 nm fiber laser system for ablative fractional laser treatments in dermatology.
Article in Lasers in surgery and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06295471 (A Comparative Clinical Study to Assess Pain Score and Wound Healing Following Fractional Ablation With a Difference Frequency Generation), 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 Comparative Clinical Study to Assess Pain Score and Wound Healing Following Fractional Ablation With a Difference Frequency Generation (DFG) Laser and Carbon Dioxide (CO2) Laser
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Ex Vivo and In Vivo Histological Evaluation of a 3-μm Wavelength, 40-μm Spot Size Fractional Laser System for Dermatology.Lasers in surgery and medicine · 2026Article
- An Optimized Staining Method for Visualization of Thermally Denatured Dermal Collagen.Lasers in surgery and medicine · 2026Article
- Energy-Based Skin Rejuvenation: A Review of Mechanisms and Thermal Effects.Journal of cosmetic dermatology · 2025Review
- Evaluation of Papain-Urea for Enzymatic Debridement of Coagulation Zones Following Ablative Fractional Laser Treatment.Lasers in surgery and medicine · 2025Article
- Assessment of a 3050/3200 nm fiber laser system for ablative fractional laser treatments in dermatology.Lasers in surgery and medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesMid-infrared (IR) ablative fractional laser treatments are highly efficacious for improving the appearance of a variety of dermatological conditions such as photo-aged skin. However, articulated arms are necessary to transmit the mid-IR light to the skin, which restricts practicality and clinical use. Here, we have assessed and characterized a novel fiber laser-pumped difference frequency generation (DFG) system that generates ablative fractional lesions and compared it to clinically and commercially available thulium fiber, Erbium:YAG (Er:YAG), and CO MATERIALS AND
methodsAn investigational 20 W, 3050/3200 nm fiber laser pumped DFG system with a focused spot size of 91 µm was used to generate microscopic ablation arrays in ex vivo human skin. Several pulse energies (10-70 mJ) and pulse durations (2-14 ms) were applied and lesion dimensions were assessed histologically using nitro-blue tetrazolium chloride stain. Ablation depths and coagulative thermal damage zones were analyzed across three additional laser systems.
resultsThe investigational DFG system-generated deep (>2 mm depth) and narrow (<100 µm diameter) ablative lesions surrounded by thermal coagulative zones of at least 20 µm thickness compared to 13, 40, and 320 µm by the Er:YAG, CO
conclusionThe DFG system is a small footprint device that offers a flexible fiber delivery system for ablative fractional laser treatments, thereby overcoming the requirement of an articulated arm in current commercially available ablative lasers. The depth and width of the ablated microcolumns and the extent of surrounding coagulation can be controlled; this concept can be used to design new treatment procedures for specific indications. Clinical improvements and safety are not the subject of this study and need to be explored with in vivo clinical studies.
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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.