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Artificial Intelligence Evaluation of Fascial Plane Block Quality and Postoperative Pain in Cardiac Surgery

NCT07581678 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 120

Last updated 2026-05-12

No results posted yet for this study

Summary

Postoperative pain is a common and significant problem following open heart surgery. Fascial plane blocks (FPBs) such as Serratus Anterior Plane Block (SAPB), Pectoral Nerve Blocks (PECS), and Pecto-Intercostal Fascial Block (PIFB) are increasingly used as part of multimodal analgesia in cardiac surgery. However, objective assessment of block quality and its relationship with clinical outcomes remains limited in the literature.

This prospective observational study aims to evaluate the anatomical success of ultrasound-guided fascial plane blocks applied in elective open heart surgery (median sternotomy) using two simultaneous methods: a trained artificial intelligence (AI) model and a blinded expert anesthesiologist. Block images will be recorded in DICOM format and scored on a 3-point scale (1: incorrect anatomical placement, 2: patchy spread, 3: ideal anatomical placement). The relationship between anatomical block success scores and postoperative pain (NRS at 0, 6, 12, 24, and 48 hours), total analgesic consumption, and clinical outcomes will be investigated. Agreement between AI and blinded anesthesiologist assessments will also be analyzed.

Conditions

  • Pain, Postoperative
  • Cardiac Surgical Procedures
  • Nerve Block

Sponsors & Collaborators

  • Bursa Yuksek Ihtisas Training and Research Hospital

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-09-01
Primary Completion
2026-05-01
Completion
2026-05-01

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07581678 on ClinicalTrials.gov