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Submitted Presentation

SP-10 - Decoding Adjunctive Root Canal Irrigation: Bridging the Gap Between Research and Practice

Friday, April 4, 2025
3:45 PM – 4:30 PM EST
Location: Hynes Convention Center, Floor 3, Room 310
Earn 0.75 CE Credits

    Speaker(s)

  • Mohamed Ibrahim, BDS, MS,DMD,PhD

    Associate Professor. Director, Predoctoral Endodontics
    Marquette University
    Milwaukee, Wisconsin

    Disclosure(s): No financial relationships to disclose

    Handouts

    • Session Host(s)

  • Stefan I. Zweig, D.D.S.

    Associate Professor of Clinical Dentistry
    University of Southern California
    Los Angeles, California

    Disclosure(s): No financial relationships to disclose

Disclosure(s):
Mohamed Ibrahim, BDS, MS,DMD,PhD: No financial relationships to disclose
Stefan I. Zweig, D.D.S.: No financial relationships to disclose
Presentation Description/Abstract: The demand for high-quality evidence in endodontic clinical practice is escalating, particularly with the emergence of costly technologies in adjunctive irrigation. However, the scarcity of robust laboratory and clinical studies in adjunctive irrigation over the past six decades has compromised the reliability on systematic reviews and meta-analyses. Thus, a shift towards producing better-quality studies over quantity is imperative.

Constraints such as cost, ethical considerations, and narrow population designs often render Randomized Clinical Trials unfeasible, limiting their generalizability. To address this, the utilization of real-world data and AI for generating real-world evidence is gaining traction, bridging the gap between trial settings and practical clinical scenarios.

This presentation will thoroughly explore the literature on adjunctive irrigation, decode enhanced root canal irrigation techniques, suggest methods to develop quality research and balancing between research and practice.

Learning Objectives:

  • Discuss the optimal research methodology for root canal cleaning and disinfection.
  • Explain the concept of pragmatic studies and AI incorporation and their integration for collecting realworld data in adjunctive irrigation research.
  • Align evidence based findings with the clinical need for lasers and multisonics in root canal irrigation for improved outcomes.