Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: Pulmonary anatomy is challenging, due to the high variability and its three-dimensional (3D) shape. While demands in thoracic oncologic surgery are increasing, the transition from open to thoracoscopic surgery is hampering anatomical understanding. This study analyzed the value of a 3D printed lung model in understanding and teaching anatomy.
Methods: A 3D pulmonary model was created and tested among different levels of proficiency: 10 experienced surgeons, 10 fellow surgeons and 10 junior residents. They were tested in interpretation of anatomy based on thoracic CT-scans, either using the 3D model or a 2D anatomical atlas. Accuracy of the given answers, time to complete the task and the self-reported level of certainty were scored in each group.
Results: In the experienced surgeons group there was no difference in between the 2D-model or 3D-model with a high rate of correct answers in both groups, and no differences in time or certainty. Fellow surgeons highly benefitted from the 3D-model with an improved accuracy from 26.6% to 70.0% (p = 0.001). Time to complete the task was shorter (207 versus 122 s, p < 0.0001) and participants were more secure (median of 4 versus 3, p = 0.007). For junior residents time to complete the task was shorter, the level of certainty was higher, but there was no improvement in accuracy.
Conclusions: 3D printing may benefit in understanding anatomical relations in the complex anatomy of the bronchiopulmonary tree, especially for surgeons in training and could benefit in teaching anatomy.
Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-023-01807-x.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403471 | PMC |
http://dx.doi.org/10.1007/s40670-023-01807-x | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!