Objective: To evaluate the reliability of landmark identification in posteroanterior cephalometrics.
Materials And Methods: A literature search was conducted to identify all articles concerning landmark identification error in the frontal radiograph. Electronic databases (PubMed, Web of Science, Cochrane Database, PubMed Central, and HubMed) were searched. Abstracts that appeared to fulfill the initial selection criteria were selected, and the full-text original articles were then retrieved and analyzed. Only articles that fulfilled the initial selection criteria were finally considered. Their references were also hand searched for possible missing articles from the database searches.
Results: Twelve abstracts met the initial inclusion criteria, and these articles were retrieved. From these, eight were immediately rejected because of methodological issues. Only the four articles remaining seemed to fulfill the selection criteria, but two articles were later rejected, one because no landmark identification error mean values were provided and the other because of the sample. Only one article fulfilled the inclusion and exclusion criteria of this study. Midline landmarks were more reproducible than bilateral skeletal landmarks.
Conclusion: Only one study fulfilled the additional inclusion and exclusion criteria. Few studies exist about the random error in localization of landmarks in posteroanterior cephalograms, and several methodological issues affected these few studies. Thus, future well-designed studies are needed to allow the orthodontist to choose the most appropriate cephalometric analysis.
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http://dx.doi.org/10.2319/0003-3219(2008)078[0761:LIEIPC]2.0.CO;2 | DOI Listing |
Dentomaxillofac Radiol
January 2025
Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093, USA.
Objectives: To identify landmarks in ultrasound periodontal images and automate the image-based measurements of gingival recession (iGR), gingival height (iGH), and alveolar bone level (iABL) using machine learning.
Methods: We imaged 184 teeth from 29 human subjects. The dataset included 1580 frames for training and validating the U-Net CNN machine learning model, and 250 frames from new teeth that were not used in training for testing the generalization performance.
Mil Med
January 2025
Department of Emergency Medicine, Mike O'Callaghan Military Medical Center, Las Vegas Blvd, NV 89191, USA.
Introduction: Regional anesthesia, specifically fascia iliaca compartment blocks (FICB), is highly effective in managing pain, especially in military settings. However, a significant barrier to its implementation is the lack of provider confidence in performing ultrasound-guided procedures. This study evaluates the ability of physician assistant (PA) students, who are often first-line providers in austere locations, to identify the fascia iliaca compartment (FIC) using point-of-care ultrasound (POCUS) after a brief training session and assesses their retention of this skill over a 60- to 90-day period.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Forensic Medicine and Toxicology, School of Medicine, National and Kapodistrian University of Athens, 11 527 Goudi, Greece.
Background: Sex estimation has been extensively investigated due to its importance for forensic science. Several anatomical structures of the human body have been used for this process. The human skull has important landmarks that can serve as reliable sex estimation predictors.
View Article and Find Full Text PDFAnn Gastroenterol Surg
January 2025
Radical lymphadenectomy is the critical component of surgery for esophageal cancer. However, lymphadenectomy significantly contributes to postoperative morbidity, particularly in terms of pulmonary complications following esophagectomy. Function-preserving mediastinal lymphadenectomy seeks to balance the procedure's necessary radicality and optimal functional outcomes.
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