A Comparative Study between Scanning Devices for 3D Printing of Personalized Ostomy Patches

Three-dimensional replica of the temporal bone in the teaching of human anatomy

PURPOSE

The current study proposes the comparison of the visualization and identification of anatomical details between natural human temporal bone, its respective copy from three-dimensional printing, and the virtual model obtained from CBCT.

METHODS

The sample consisted of undergraduate students in Dentistry (Group UE, n = 22), Postgraduate students in Radiology and Imaging (Group P-RI, n = 20), and Postgraduate students in Forensic Odontology (Group P-FO, n = 24). All participants attended a theoretical class on specialized anatomy of the temporal bone and subsequently performed the markings of 10 determined structures.

RESULTS

The number of correct identifications was similar in natural bone and printed three-dimensional models in all groups (p > 0.05). The virtual model showed a significantly lower number of correct structures (p < 0.05) in the 3 groups. In general, there were significantly higher percentages of accurate answers among postgraduate students compared to undergraduate students. Most graduate students believed that the printed three-dimensional model could be used to teach anatomy in place of natural bone, while undergraduate students disagreed or were unsure (p < 0.05). Regarding the virtual tomographic image, in all groups, students disagreed or were not sure that its use would be beneficial in replacing natural bone.

CONCLUSION

Three-dimensional and virtual models can be used as auxiliary tools in teaching anatomy, complementing practical learning with natural bones.

Comparison of two 3D scanning software to identify facial features: a prospective instrument to predict difficult airway

BACKGROUND

Clinical airway assessment has limited predictive ability to anticipate difficult airway. Three-dimensional (3D) technologies have emerged in medicine as valuable tools in different settings including innovation and surgical planning. Three-dimensional facial scanning could add value to clinical measurements and two-dimensional models to assess the airway. However, commonly used high-fidelity scans are expensive. This study aims to compare the accuracy of the measurements made by the Scandy Pro app as a cost-effective alternative to high-fidelity scans made by the Artec Space Spider. We also aim to evaluate the interobserver variability for the measurements performed with Scandy Pro.

MATERIALS AND METHODS

We conducted a cross-sectional, comparison study on 10 healthy volunteers. Four observers measured 720 distances and 400 using both Scandy Pro and Artec Space Spider facial scans. Wilcoxon test was used for group-group comparison.

RESULTS

Comparison of both instruments showed no difference in angle or distance measurements. The percentage error (measurement difference between the two devices) exhibited by one of the observers was significantly different compared with the other three observers; however, the magnitude of this individual deviation did not affect the overall percentage error. The overall error for Scandy Pro was 5.5% (3.9% and 6.7% for angles and distances, respectively).

CONCLUSION

Three-dimensional facial scanning with Scandy Pro is an accurate tool that can be a cost-effective alternative to high-fidelity scans produced by the Artec Space Spider.

Comparison of multiple 3D scanners to capture foot, ankle, and lower leg morphology

BACKGROUND

3D scanning of the foot and ankle is gaining popularity as an alternative method to traditional plaster casting to fabricate ankle-foot orthoses (AFOs). However, comparisons between different types of 3D scanners are limited.

OBJECTIVES

The aim of this study was to evaluate the accuracy and speed of seven 3D scanners to capture foot, ankle, and lower leg morphology to fabricate AFOs.

STUDY DESIGN

Repeated-measures design.

METHODS

The lower leg region of 10 healthy participants (mean age 27.8 years, standard deviation [SD] 9.3) was assessed with 7 different 3D scanners: Artec Eva (Eva), Structure Sensor (SS I), Structure Sensor Mark II (SS II), Sense 3D Scanner (Sense), Vorum Spectra (Spectra), Trnio 3D Scanner App on iPhone 11 (Trnio 11), and Trnio 3D Scanner App on iPhone 12 (Trnio 12). The reliability of the measurement protocol was confirmed initially. The accuracy was calculated by comparing the digital scan with clinical measures. A percentage difference of #5% was considered acceptable. Bland and Altman plots were used to show the mean bias and limit of agreement (LoA) for each 3D scanner. Speed was the time needed for 1 complete scan.

RESULTS

The mean accuracy ranged from 6.4% (SD 10.0) to 230.8% (SD 8.4), with the SS I (21.1%, SD 6.8), SS II (21.7%, SD 7.5), and Eva (2.5%, SD 4.5) within an acceptable range. Similarly, Bland and Altman plots for Eva, SS I, and SS II showed the smallest mean bias and LoA 21.7 mm (LoA 25.8 to 9.3), 21.0 mm (LoA 210.3 to 8.3), and 0.7 mm (LoA 213 to 11.5), respectively. The mean speed of the 3D scanners ranged from 20.8 seconds (SD 8.1, SS I) to 329.6 seconds (SD 200.2, Spectra).

CONCLUSIONS

Eva, SS I, and SS II appear to be the most accurate and fastest 3D scanners for capturing foot, ankle, and lower leg morphology, which could be used for AFO fabrication.

Ileostomy 101: Understanding the Basics for Optimal Patient Care

This comprehensive literature review explores the foundational aspects of ileostomy, encompassing surgical techniques, postoperative care, complications, and advancements. Ileostomy, a surgical procedure redirecting the ileal lumen through an abdominal opening, is a critical intervention for various gastrointestinal conditions. The review delves into surgical techniques, emphasizing the importance of stoma location and type selection, whether temporary or permanent. Complications associated with ileostomy are discussed, highlighting the significance of vigilant postoperative care, including stoma care and addressing potential complications. The profound impact of ileostomy on patients' quality of life is elucidated, underlining the necessity for a holistic approach to patient care. Additionally, advancements in the field, such as biodegradable stoma bags, smart stoma appliances, and telemedicine, are explored for their potential to enhance patient outcomes. The review emphasizes the need for individualized approaches and ongoing research to maximize the benefits of these advancements for ileostomy patients and improve their overall experience.

3D-Printing Applications in Ostomy Device Creation and Complex Intestinal Fistula Management: A Scoping Review

Background  This scoping review aims to provide a summary of the use of three-dimensional (3D) printing in colorectal surgery for the management of complex intestinal fistula and ostomy creation. Methods  A systematic database search was conducted of original articles that explored the use of 3D printing in colorectal surgery in EMBASE, MEDLINE, Cochrane database, and Google Scholar, from inception to March 2022. Original articles and case reports that discussed 3D printing in colorectal surgery relating to complex intestinal fistulae and ostomies were identified and analyzed. Results  There were 8 articles identified which discussed the use of 3D printing in colorectal surgery, of which 2 discussed ostomy creation, 4 discussed complex fistulae management, and 2 discussed patient models. Conclusion  3D printing has a promising role in terms of management of these conditions and can improve outcomes in terms of recovery, fluid loss, and function with no increase in complications. The use of 3D printing is still in its early stages of development in colorectal surgery. Further research in the form of randomized control trials to improve methodological robustness will reveal its true potential.

A Novel Method for Fast Generation of 3D Objects from Multiple Depth Sensors

Scanning real 3D objects face many technical challenges. Stationary solutions allow for accurate scanning. However, they usually require special and expensive equipment. Competitive mobile solutions (handheld scanners, LiDARs on vehicles, etc.) do not allow for an accurate and fast mapping of the surface of the scanned object. The article proposes an end-to-end automated solution that enables the use of widely available mobile and stationary scanners. The related system generates a full 3D model of the object based on multiple depth sensors. For this purpose, the scanned object is marked with markers. Markers type and positions are automatically detected and mapped to a template mesh. The reference template is automatically selected for the scanned object, which is then transformed according to the data from the scanners with non-rigid transformation. The solution allows for the fast scanning of complex and varied size objects, constituting a set of training data for segmentation and classification systems of 3D scenes. The main advantage of the proposed solution is its efficiency, which enables real-time scanning and the ability to generate a mesh with a regular structure. It is critical for training data for machine learning algorithms. The source code is available at https://github.com/SATOffice/improved_scanner3D.