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
Background: Microsurgical breast reconstruction presents a technical challenge in preoperative planning and flap harvest. Given the limitations of computed tomographic angiography as a preoperative aid, 3D printing has emerged as an avenue for creating patient-specific anatomical models for pre- and intraoperative use. This systematic review assesses the current use and utility of 3D-printed vascular models (3DVMs) in microsurgical breast reconstruction.
Methods: MEDLINE, Embase, and CENTRAL were searched for English articles published from 1946 to 2024. Studies utilizing 3D-printed vascular modeling in the context of microsurgical breast reconstruction were included if they reported surgical, model-, or user-related outcomes. The Newcastle-Ottawa Scale and Joanna Briggs Institute checklists were used for quality assessment. Results were reported according to PRISMA guidelines.
Results: Six hundred and nineteen records were retrieved. Following specific inclusion and exclusion criteria, 29 studies underwent full-text review. Eight studies totaling 181 patients and 261 flaps were included in the final analysis. 3DVMs were used to model deep inferior epigastric perforator (DIEP) and muscle-sparing transverse rectus abdominis myocutaneous (MS-TRAM) flap perforator origin, course, distribution, and surrounding anatomy. They were used for perforator selection, flap harvest, and training. Use of 3DVMs reduced harvest time by up to 23 min per case. No complications or preoperative plan deviations were reported in 3DVM-guided cases. Surgeons endorsed significant model utility in anatomical visualization, preoperative planning, and flap harvest. Model cost, production time, and adoption were identified as barriers to use.
Conclusions: 3DVMs can enhance preoperative planning, intraoperative decision-making, and operative efficiency in unilateral DIEP and bilateral MS-TRAM flap breast reconstructions.
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Source |
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http://dx.doi.org/10.1016/j.bjps.2024.07.026 | DOI Listing |
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