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A Study to Collect Imaging Data for the Validation of the Intelligent Ultrasound's ScanNav Anatomy Peripheral Nerve Block (PNB) - US v1.0

2022年3月31日 更新者:IntelligentUltrasound Limited
This is a single-center, prospective study to be undertaken at University of Oregon, Portland, USA. The aim is to evaluate the clinical performance of ScanNav Anatomy PNB when highlighting anatomical structures during UGRA scanning. Specifically, we aim to assess and quantify the correct/incorrect highlighting of anatomical structures associated with ScanNav Anatomy PNB during UGRA scanning.

研究概览

地位

完全的

详细说明

Background:

The American Society of Regional Anesthesia and Pain Medicine (ASRA) has published evidence-based assessment of ultrasound-guided regional anesthesia (Neal et al., 2010) concluding that ultrasound guidance is superior or equal to other non-ultrasound nerve localization techniques. A subsequent publication from ASRA (Neal et al., 2016), has strengthened their position of ultrasound guidance being superior than other methods, including for the reduction of local anesthetic systemic toxicity. However, ultrasound-guided regional anesthesia (UGRA) is a difficult technique to master. A key activity of UGRA is ultrasound image interpretation (Sites et al., 2009) which ScanNav Anatomy PNB is designed to support. The data collected during this study will be assessed by a panel of intended users (experts in UGRA) to evaluate the performance and safety of ScanNav Anatomy PNB device highlighting.

Statistical Methodology:

Validation analyses will be conducted once the data collection has been complete. The collected scans will be processed, and the device output will be generated post hoc. Device output will be presented with raw ultrasound side-by-side. A panel of at least three expert anesthesiologists will review and evaluate each processed scan. The majority view of the panel will be used to evaluate each endpoint for any given structure ScanNav Anatomy PNB is intended to highlight.

Data collection and scan processing:

40 different subjects will be scanned. The dataset will be balanced to contain approximately equal numbers of subjects with BMI<30 and BMI>= 30 kg/m2.

All data collection will be performed with FDA cleared general purpose ultrasound machine, ScanNav Anatomy PNB device will not be used during data collection.

Data characteristics for scan subjects (e.g., age and BMI) will be reported. Ultrasound scans for all 9 supported anatomical regions will be collected from both sides of each subject.

90 x 10s clips per supported anatomical region will be generated, consisting of:

  • 80 x 10s scene clips: the block view (chosen by the expert scanner) together with the preceding 10 seconds of ultrasound scanning will be recorded (without the use of ScanNav Anatomy PNB)
  • 10 x 10s non-scene clips: 10 second ultrasound scans will be recorded at non-optimum block views, chosen by the expert scanner to represent plausible scanning errors (without the use of ScanNav Anatomy PNB) Scenes and non-scenes will be analyzed separately. Unmodified ultrasound video and highlighted video (color overlay produced by ScanNav Anatomy PNB generated post-hoc) will be presented side-by-side to independent experts for data analysis.

Data analysis:

Every clip will be presented to a minimum of 3 independent expert reviewers. All clips from a single anatomical region will be reviewed by the same 3 reviewers. Experts may review more than one anatomical region, but not necessarily all anatomical regions. Thus, a range of experts will review all anatomical regions.

Reviewers will be asked structured questions to assess the highlighting of safety critical anatomical structures (see definitions later in document) and the performance of ScanNav Anatomy PNB output for each individual clip.

The majority opinion (at least 2/3) will be obtained to establish the overall panel opinion (e.g., yes/yes/no = yes) for each structure on each clip.

Data will be evaluated and presented by structure in each anatomical region and overall (i.e., total for each class; nerve, artery etc.).

Inter-rater agreement between the reviewers will be reported on an anatomical region basis.

Data will be presented as frequencies and presented as percent of total clips analyzed.

Data analysis will include stratification by subject age, BMI, and ultrasound machine to ensure consistency across these variables.

研究类型

观察性的

注册 (实际的)

40

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

    • Oregon
      • Portland、Oregon、美国、97239
        • Oregon Health & Science University

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

18年 至 60年 (成人)

接受健康志愿者

是的

有资格学习的性别

全部

取样方法

非概率样本

研究人群

Potential study subjects will be healthy volunteers, chosen to provide a variety of ages and BMIs. Subjects will be screened to ensure approximate equal numbers in coverage for BMI (<30, 30-39) category.

描述

Inclusion Criteria:

  • Male or female, at least 18 years of age;
  • Able to comprehend and sign the Informed Consent prior to enrolment in the study.
  • Vaccinated against SARS-CoV-2

Exclusion Criteria:

  • Aged <18 years of age;
  • Unwilling or unable to provide informed consent.
  • BMI> 39 kg/m2
  • Known pathology of the area to be scanned

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
干预/治疗
volunteer group - BMI less than 30
Each subject with a BMI less than 30 will be randomly allocated to an ultrasound machine and an expert scanner who will perform the ultrasound scans of all supported anatomical regions.
Each subject will be randomly allocated to an ultrasound machine and an expert scanner who will perform the ultrasound scans of all supported anatomical regions.
volunteer group - BMI of 30 and above
Each subject with a BMI of 30 and above will be randomly allocated to an ultrasound machine and an expert scanner who will perform the ultrasound scans of all supported anatomical regions.
Each subject will be randomly allocated to an ultrasound machine and an expert scanner who will perform the ultrasound scans of all supported anatomical regions.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
ScanNav Anatomy PNB highlighting misidentification of structures
大体时间:6 months
Frequency of misidentification of structures [% of total, per anatomical region]
6 months

次要结果测量

结果测量
措施说明
大体时间
ScanNav Anatomy PNB highlighting identification of structures
大体时间:6 months
Frequency of correct identification of structures [% of total] and Frequency of non-identification of structures [% of total]
6 months
ScanNav Anatomy PNB safety issues
大体时间:6 months
Frequency of safety issues [% of total]
6 months
ScanNav Anatomy PNB adverse events
大体时间:6 months
Frequency of highlighting risking an adverse event [% of total]
6 months

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Glenn Woodworth, MD、Oregon Health and Science University
  • 首席研究员:James Bowness, MD、University of Oxford & Royal Gwent Hospital

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2021年5月16日

初级完成 (实际的)

2021年5月16日

研究完成 (实际的)

2021年11月30日

研究注册日期

首次提交

2021年5月25日

首先提交符合 QC 标准的

2021年5月25日

首次发布 (实际的)

2021年5月28日

研究记录更新

最后更新发布 (实际的)

2022年4月1日

上次提交的符合 QC 标准的更新

2022年3月31日

最后验证

2021年6月1日

更多信息

与本研究相关的术语

其他研究编号

  • IU2021_AG_07

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

不

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

是的

在美国制造并从美国出口的产品

不

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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