This study demonstrated that 3D image construction from the conventional B-mode ultrasound images of local anesthetic spread following the placement of different peripheral nerve blocks is achievable using a handheld point-of-care ultrasound (PoCUS) system. The retrospective 3D image results in a more dynamic picture allowing for better visualization of local anesthetic spread, assisting clinicians in real-time decisions with more confidence. Moreover, capturing these images at the bedside allows for a quick assessment due to the fast startup times of the app-based smartphone technology associated with the handheld ultrasound device.
Previous studies have reported 3D imaging of selective nerve blocks using either retrospective or prospective real-time 3D construction approaches (
6-
9). Prospective imaging involves obtaining 3D images directly and waiting for the rendering process to be complete, which can be time-consuming. However, a traditional 2D ultrasound transducer captures multiple 2D plane images while remaining stationary and retrospectively constructs a multiplanar image during the scanning process providing a quick real-time 3D image (
9). The present study showed that the retrospective construction process is fast and easy to use regardless of which nerve block was investigated.
The preset tools on the handheld ultrasound system allow for a single probe that is capable of performing many different types of scans over a wide frequency range. Its technology is based on a 2D capacitive micromachined ultrasonic transducer (CMUT) that incorporates thousands of microsensors that combine the capabilities of curved, linear, and phased-array transducers into a single probe (
10). The CMUT transducer and its associated software have shown high reproducibility and accuracy in estimating volume (
11). The volume factory setting, together with the flat transducer, provides the ability to perform a 3D sweep providing an expanded view of 120 degrees; however, the probe remains stationary. Following the capture of the multiplanar images, a deep neural network based on an artificial intelligence algorithm incorporated every 2D ultrasound image as an input, and the contours of fluid contained in the images are highlighted. Finally, by combining the segmentation results on each image, a 3D model of the fluid is displayed on the screen (
12).
The present study observed the 3D images of local anesthetic spread relevant to previous reports. For example, Cash et al. demonstrated a 3D image of the vertical and horizontal alignment of the brachial plexus at the interscalene and supraclavicular levels (
13). Therefore, an even anterior and then lateral spread of the injected solution can be anticipated, as demonstrated in the present work, with the connective tissues surrounding roots and trunks interconnected and the brachial plexus situated inside the bordering tissue plane of relevant anatomical structures.
With regard to infraclavicular and axillary blocks, the current study’s 3D images are similar to previous descriptions of incomplete local anesthetic spread with confined deposits of injectate around the axillary artery (
6,
14). Fascial plane blocks achieve analgesia by the local anesthetic spread between two fascial layers. The present study successfully visualized the local anesthetic distribution of these blocks using 3D imaging. In the truncal region, the local anesthetic following the placement of a type II Pecs block spreads to the posterior axillary line and over the third and seventh ribs without extending into the cranial axilla region (
15). In the abdomen, a transversus abdominis plane block allows for caudal and/or anterolateral spread of the injectate (
16). At the femoral region, the present study’s 3D image of the local anesthetic injectate demonstrated an even distribution of local anesthetic around the femoral nerve encased within the fascia iliaca. A crescentic 3D image of the injectate following the placement of the adductor canal block might suggest, as previously reported, that the local anesthetic spread around the saphenous nerve is achieved when the injection is placed after piercing the vastoadductor membrane that roofs the adductor canal rather than in the subsartorial fat compartment above the vastoadductor membrane where only an inconsistent medial or superficial spread over the saphenous nerve and femoral artery can be visualized (
17).
The current study’s 3D images of sciatic nerve block injectates at the subgluteal and popliteal levels correspond to the notion that the local anesthetic injectate might displace and encircle the nerve at those levels, respectively. A previous study reported a potential perineural space that is formed by the surrounding muscle epimysium, which widens as it descends caudally, resulting in an encircling spread of local anesthetic around the sciatic nerve (
7,
18). The utility of the handheld ultrasound imaging system allowed the researchers to visualize the 2D ultrasound image and the reconstructed 3D image to evaluate the local anesthetic spread in these blocks.
Handheld ultrasound systems are not as available as 2D conventional standalone ultrasounds, although the trend might change. Compared to standalone ultrasound systems (> $50,000), handheld ultrasound devices are less expensive (< $5,000) and ideal for clinicians or hospitals that are financially limited (
2). Moreover, professional organizations have endorsed the perioperative use of PoCUS and provide educational resources, such as webinars, podcasts, teaching modules, and hands-on workshops (
19). This is particularly promising as the support reinforces the teaching and core competencies that need to develop and maintain proficiency in clinical practice.
Several important limitations of the present study should be mentioned. Firstly, this study was performed at a single center and on a relatively small number of patients, which might affect the generalizability of the results. Secondly, although there are 20 preset clinical functions associated with the software of the handheld ultrasound, there is no specific preset function specifically designed for 3D imaging of peripheral nerve blocks. Thirdly, this study did not evaluate the postoperative analgesic efficacy of the nerve blocks following hospital discharge. It has been demonstrated on countless occasions that regional anesthesia offers superior analgesia over opioid-based analgesia. Nonetheless, future studies are needed to explore the reproducibility of the present study’s clinical findings and utility.
5.1. Conclusions
The present study has shown that a 3D image of a nerve block injectate can be obtained using a portable handheld ultrasound system that captures multiple 2D images of fluid deposits. The 3D images provide clinicians with valuable information on the anatomical boundaries of the injectate that can further direct needle direction and placement of local anesthetic to achieve visual confidence of anesthetic spread. Future larger studies investigating the integration of 3D imaging performed at the bedside are desired to support the evidence to be a component of PoCUS assessment for the professional development of future clinicians.