Artificial Intelligence Evaluation of Fascial Plane Block Quality and Postoperative Pain in Cardiac Surgery
FASCAI
AI-Assisted Evaluation of Anatomical Success of Fascial Plane Blocks Applied in Open Heart Surgery and Investigation of Its Relationship With Postoperative Pain Scores: A Prospective Observational Study
1 other identifier
observational
120
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2025
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2026
CompletedFirst Submitted
Initial submission to the registry
May 6, 2026
CompletedFirst Posted
Study publicly available on registry
May 12, 2026
CompletedMay 12, 2026
May 1, 2026
8 months
May 6, 2026
May 6, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Postoperative Pain Score
Postoperative pain assessed using the Numerical Rating Scale (NRS) at rest and with coughing at 0, 6, 12, 24 hours after surgery. NRS ranges from 0 (no pain) to 10 (worst imaginable pain).
48 hours postoperatively
Secondary Outcomes (6)
Agreement Between AI and Blinded Anesthesiologist Block Quality Scores
Intraoperative
Total Analgesic Consumption
24 hours postoperatively
ICU Length of Stay
Through ICU discharge, approximately 1-7 days
Hospital Length of Stay
Through hospital discharge, approximately 5-10 days
Postoperative Complications
48 hours postoperatively
- +1 more secondary outcomes
Study Arms (1)
Fascial Plane Block Group
Patients scheduled for elective open heart surgery via median sternotomy who receive routine ultrasound-guided fascial plane blocks (bilateral parasternal PIFB block) under general anesthesia. Block images are independently scored by a trained AI model and a blinded expert anesthesiologist. Patients are followed postoperatively for pain scores, analgesic consumption, and clinical outcomes.
Eligibility Criteria
Patients scheduled for elective open heart surgery via median sternotomy at the University of Health Sciences Bursa Yüksek Ihtisas Training and Research Hospital, Department of Anesthesiology and Reanimation. All eligible patients who meet the inclusion criteria and provide written informed consent, including separate consent for AI-based ultrasound image analysis, will be enrolled consecutively.
You may qualify if:
- Age between 18-80 years
- Patients scheduled for elective cardiac surgery (CABG, valve surgery, combined procedures)
- Patients undergoing median sternotomy
- ASA physical status II-III
- Patients capable of providing informed consent, including separate consent for AI-based image analysis
You may not qualify if:
- Emergency surgery
- Redo sternotomy
- Allergy to local anesthetics
- Coagulopathy (INR \>1.5, platelet count \<80,000/mm³)
- Infection at the block application site
- Chronic opioid use (\>3 months)
- Cognitive dysfunction
- Pregnancy
- ASA physical status IV and above
- Minimally invasive surgery performed via thoracotomy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Health Sciences Bursa Yüksek Ihtisas Training and Research Hospital
Bursa, Yıldırım, 16600, Turkey (Türkiye)
Related Publications (1)
Bowness JS, Burckett-St Laurent D, Hernandez N, Keane PA, Lobo C, Margetts S, Moka E, Pawa A, Rosenblatt M, Sleep N, Taylor A, Woodworth G, Vasalauskaite A, Noble JA, Higham H. Assistive artificial intelligence for ultrasound image interpretation in regional anaesthesia: an external validation study. Br J Anaesth. 2023 Feb;130(2):217-225. doi: 10.1016/j.bja.2022.06.031. Epub 2022 Aug 18.
PMID: 35987706BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 10 Days
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
May 6, 2026
First Posted
May 12, 2026
Study Start
September 1, 2025
Primary Completion
May 1, 2026
Study Completion
May 1, 2026
Last Updated
May 12, 2026
Record last verified: 2026-05
Data Sharing
- IPD Sharing
- Will not share
Individual participant data will not be shared due to patient privacy and confidentiality concerns, as the study involves anonymized ultrasound images and clinical data collected at a single center. Data may be made available upon reasonable request to the principal investigator.