An Ultrasound Guided Automated Spinal Landmark Identification System (uSINE)

Development of an Ultrasound Guided Automated Spinal Landmark Identification System (uSINE Study)

Neuraxial ultrasonography has been shown a safe and effective technique to enhance the overall success rate of lumbar puncture and reduce the number of injection attempts. However, the current blind palpation landmark technique is known to be highly inaccurate and may increase the risk of multiple insertion attempts, patient suffering and complication rates such as spinal cord injury. Various clinical studies have confirmed the effectiveness of ultrasound imaging compared with the traditional palpation method. However, none of the present system can achieve real-time guidance.

The overall aim of this proposal is to develop an ultrasound guided automated spinal landmark identification with real-time neuraxial needle insertion system (uSINE) to improve patient safety and efficacy of neuraxial procedure needle insertion success. This will be achieved in 4 phases of technology development and clinical trial phases. The investigators will recruit 20 subjects in a prospective cohort study to investigate the spinal needle first attempt success rate as a clinically relevant outcome. The secondary aim is to develop an automated spinal landmark identification algorithm using image processing to identify spinal landmarks in 50 obese patients. Third phase objective will be to obtain clinical data, and evaluation and annotation of the clinical data of spinal ultrasonography in 65 obese patients (BMI > 30kg/m2), whereas the fourth phase will measure the uSINE identification accuracy and first-attempt puncture success rate of uSINE in a clinical study of 65 obese patients (BMI > 30kg/m2).

Study Overview

• Status: Recruiting
• Conditions: Obesity; Spinal Anaesthesia
• Intervention / Treatment: Procedure: Neuraxial ultrasonography

Detailed Description

This is a prospective cohort study to evaluate the efficacy and accuracy of ultrasound guided automated spinal landmark identification with real-time neuraxial needle insertion system (uSINE).

The subjects assume a seated position and the lower back is exposed. Ultrasound gel will be applied to the lower back lumbar spine and the investigator will place an ultrasound curved array probe around the sacral region. The graphical interface of the software, integrated with the wireless ultrasound probe and ultrasound machine, will inform the investigator when the software has positively identified the sacrum. The investigator will then move the probe in a steady vertical upward longitudinal direction until the L3/4 interspinous space is identified by the program. The ultrasound algorithm will identify the skin surface marking. The longitudinal section of the scan will be completed and the investigator will turn the probe 90 degrees clockwise around the probe center to the transverse view.

The transverse scan consists of minimal vertical movements by the investigator who will obtain images using the ultrasound probe. The software will signal when the correct identification of the ligamentum flavum is visualized. The scan sequence will be completed.

The first phase will involve 20 non-obese patients who are undergoing neuraxial anaesthesia or analgesia. The system is used prior and during needle insertion to provide real-time guidance for the anaesthetists. The neuraxial needle insertion is conducted manually by the anaesthetist as per routine practice.

In the second phase, 50 obese patients (body mass index more than 30) will be recruited to investigate and develop an "obesity" mode visualisation of the ultrasound guided automated spinal landmark identification. This will be to advance the technology to evaluate more difficult anatomy and more complex neuraxial needle insertion in future work plan. The patients' back will be scanned to obtain the images. The neuraxial needle insertion is conducted manually (i.e. independent of the ultrasound results) by the anaesthetist as per hospital routine practice.

The third phase involve data collection and annotation of spinal ultrasonography in 65 obese patients, followed by a fourth phase to measure the uSINE identification accuracy and first-attempt puncture success rate in 65 obese patients.

• Study Type: Interventional
• Enrollment (Estimated): 200
• Phase: Not Applicable

Contacts and Locations

• Study Contact: Name: Ban L Sng, FANZCA; Phone Number: +6563941081; Email: sng.ban.leong@singhealth.com.sg
• Study Contact Backup: Name: Alex T Sia, MMED; Phone Number: +6563941081; Email: alex.sia.t.h@singhealth.com.sg

Study Locations

• Singapore
  • Singapore, Singapore, 229899
    • Recruiting
    • KK Women's and Children's Hospital
    • Contact: Ban Leong Sng, MBBS, MMED; Phone Number: +6563941081; Email: sng.ban.leong@singhealth.com.sg

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 21 years to 75 years (Adult, Older Adult)
• Accepts Healthy Volunteers: No

Description

Inclusion Criteria:

First phase:

• Age 21 - 75 years old patients who require neuraxial anesthesia for surgical procedure;
• Normal body mass index (Weight 40-90 kg, Height 140-180cm).

Second-fourth phases:

• Obese patients aged between 21-75 years old;
• body mass index more than 30.

Exclusion Criteria:

• History of scoliosis;
• History of spinal instrumentation;
• Drug allergy to ultrasound transmission gel;
• Visible wound or injury in the lumbar spine.

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Other
• Allocation: N/A
• Interventional Model: Single Group Assignment
• Masking: None (Open Label)

Number of Arms

1

Arms and Interventions

Participant Group / Arm

Intervention / Treatment

Experimental: ULTRA-SINE (phases 1-4); There will be four phases in this proposed uSINE system. In first phase attending anaesthetist will use the automated spinal landmark system for neuraxial needle insertion to place the neuraxial anaesthesia in non-obese patients. For the second phase, obese patients will have ultrasound scan of their lumbar back and no needle insertion is involved. In third phase, conventional ultrasonography is used prior to the needle insertion, and needle insertion is conducted manually as per routine practice. The images collected in the system will be used for annotation and evaluation which serves as training material for uSINE to optimize its algorithm to improve landmark identification for obese patients. The fourth phase will have uSINE system used prior to the needle insertion, with the neuraxial needle insertion conducted manually as per routine practice. The identification accuracy and first-attempt puncture success rate of uSINE will be determined.

Procedure: Neuraxial ultrasonography; Ultrasound gel is applied to lower back lumbar spine of patient and placed with an ultrasound probe around the sacral region. The graphical interface of the software integrated with ultrasound machine will help identify the sacrum. The probe is moved in until the L3/4 interspinous space is identified for skin surface marking. Once the longitudinal scan is completed, the investigator will turn the probe 90° clockwise for transverse scan to identify ligamentum flavum.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
First attempt success rate of spinal anaesthesia	The rate of cases achieving successful spinal anaesthesia at first attempt of insertion	12 hours

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Number of spinal attempts	The number of attempts to achieve successful spinal anaesthesia	12 hours
Time taken for ligamentum flavum identification	Time taken to identify the ligamentum flavum in the transverse view	12 hours
Distance from skin to ligamentum flavum	Distance from skin to ligamentum flavum as detected by the algorithm	12 hours

Collaborators and Investigators

• Sponsor: KK Women's and Children's Hospital
• Investigators: Principal Investigator: Ban L Sng, FANZCA, KK Women's and Children's Hospital

Publications and helpful links

General Publications

• In Chan JJ, Ma J, Leng Y, Tan KK, Tan CW, Sultana R, Sia ATH, Sng BL. Machine learning approach to needle insertion site identification for spinal anesthesia in obese patients. BMC Anesthesiol. 2021 Oct 18;21(1):246. doi: 10.1186/s12871-021-01466-8.

Study record dates

Study Major Dates

• Study Start (Actual): May 24, 2018
• Primary Completion (Estimated): October 14, 2026
• Study Completion (Estimated): December 31, 2027

Study Registration Dates

• First Submitted: August 22, 2018
• First Submitted That Met QC Criteria: September 24, 2018
• First Posted (Actual): September 27, 2018

Study Record Updates

• Last Update Posted (Actual): October 9, 2024
• Last Update Submitted That Met QC Criteria: October 8, 2024
• Last Verified: October 1, 2024

More Information

Terms related to this study

• Keywords: spinal anaesthesia; Neuraxial ultrasonography; landmark identification
• Other Study ID Numbers: NHIC-I2D-1708180

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No