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Comparing Ultrasound-Guided Pectoral Nerve Block and Mid-Point Transverse Process Block for Pain Relief After Modified Radical Mastectomy in Women Aged 35 to 65
Led by Ain Shams University · Updated on 2025-03-13
60
Participants Needed
1
Research Sites
N/A
Total Duration
AI-Summary
What this Trial Is About
This research aims to compare the effectiveness of two ultrasound-guided nerve block methodspectoralis nerve block and mid-point transverse process blockfor managing pain after modified radical mastectomy in female patients aged 35 to 65 years. The study evaluates which method provides better postoperative pain relief and measures the time until patients first request additional pain medication. Patients will be randomly assigned to one of two groups after induction of general anesthesia. The pectoral nerve block group will receive 10ml of bupivacaine 0.5% between the pectoralis major and minor muscles, followed by another 10ml between the pectoralis minor and serratus anterior muscles. The mid-point transverse process block group will receive 20ml of bupivacaine 0.5% near the T4 vertebra, injected between the transverse process and the pleura. Both procedures are performed by an experienced anesthesiologist using ultrasound guidance under sterile conditions. Participants will be monitored during surgery with standard anesthesia care and vital sign recording. Pain levels will be assessed using a numeric rating scale, and the primary outcome is the time until the first request for additional pain relief over 18 hours after surgery. Secondary outcomes include the number of patients needing rescue analgesia, total doses used, and any complications within 18 hours postoperatively. The study will also track dosing of anesthesia and pain medications during the operation and after skin closure.
CONDITIONS
Brief Title
Comparing Between Ultrasound Guided Pectoral Nerve Block Versus Ultrasound Guided Mid-point Transverse Process Block for Postoperative Analgesia in Patients Undergoing Modified Radical Mastectomy
Research Team
Y
yasmin tarek elshahawy, assistant lecturer
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