دورية أكاديمية
أعرض في EDS

Radiomics approach to the condylar head for legal age classification using cone-beam computed tomography: A pilot study.

التفاصيل البيبلوغرافية
العنوان: Radiomics approach to the condylar head for legal age classification using cone-beam computed tomography: A pilot study.
المؤلفون: Jeon KJ; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea., Kim YH; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea., Choi H; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea., Ha EG; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea., Jeong H; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea., Han SS; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea.
المصدر: PloS one [PLoS One] 2023 Jan 19; Vol. 18 (1), pp. e0280523. Date of Electronic Publication: 2023 Jan 19 (Print Publication: 2023).
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Cone-Beam Computed Tomography*/methods , Mandibular Condyle*/diagnostic imaging, Humans ; Adolescent ; Young Adult ; Adult ; Pilot Projects ; Machine Learning ; Retrospective Studies
مستخلص: Legal age estimation of living individuals is a critically important issue, and radiomics is an emerging research field that extracts quantitative data from medical images. However, no reports have proposed age-related radiomics features of the condylar head or an age classification model using those features. This study aimed to introduce a radiomics approach for various classifications of legal age (18, 19, 20, and 21 years old) based on cone-beam computed tomography (CBCT) images of the mandibular condylar head, and to evaluate the usefulness of the radiomics features selected by machine learning models as imaging biomarkers. CBCT images from 85 subjects were divided into eight age groups for four legal age classifications: ≤17 and ≥18 years old groups (18-year age classification), ≤18 and ≥19 years old groups (19-year age classification), ≤19 and ≥20 years old groups (20-year age classification) and ≤20 and ≥21 years old groups (21-year age classification). The condylar heads were manually segmented by an expert. In total, 127 radiomics features were extracted from the segmented area of each condylar head. The random forest (RF) method was utilized to select features and develop the age classification model for four legal ages. After sorting features in descending order of importance, the top 10 extracted features were used. The 21-year age classification model showed the best performance, with an accuracy of 91.18%, sensitivity of 80%, and specificity of 95.83%. Radiomics features of the condylar head using CBCT showed the possibility of age estimation, and the selected features were useful as imaging biomarkers.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Jeon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
References: IEEE Trans Pattern Anal Mach Intell. 2010 Nov;32(11):1955-76. (PMID: 20847387)
BMC Bioinformatics. 2009 Jul 10;10:213. (PMID: 19591666)
Sci Rep. 2020 May 15;10(1):8012. (PMID: 32415284)
Cancer Imaging. 2020 May 1;20(1):33. (PMID: 32357923)
Br J Cancer. 2020 Mar;122(7):929-930. (PMID: 31937924)
Int J Oral Maxillofac Surg. 2021 Feb;50(2):227-235. (PMID: 32605824)
J Forensic Dent Sci. 2019 May-Aug;11(2):57-63. (PMID: 32082039)
J Forensic Sci. 2007 Sep;52(5):1015-9. (PMID: 17680791)
Int J Legal Med. 2008 Nov;122(6):457-60. (PMID: 18548266)
Phys Med Biol. 2016 Jul 7;61(13):R150-66. (PMID: 27269645)
J Pharm Bioallied Sci. 2015 Aug;7(Suppl 2):S504-8. (PMID: 26538907)
J Forensic Leg Med. 2018 Apr;55:39-44. (PMID: 29459097)
Int J Legal Med. 2020 Mar;134(2):745-751. (PMID: 31907616)
Proc SPIE Int Soc Opt Eng. 2015 Mar 17;9417:. (PMID: 26085710)
Eur J Cancer. 2012 Mar;48(4):441-6. (PMID: 22257792)
Forensic Sci Int. 2014 Dec;245:205.e1-5. (PMID: 25459273)
Forensic Sci Int. 2021 Mar;320:110689. (PMID: 33561788)
Methods. 2021 Apr;188:20-29. (PMID: 32504782)
PLoS One. 2021 May 12;16(5):e0251388. (PMID: 33979376)
Diagn Interv Imaging. 2020 Sep;101(9):599-610. (PMID: 32033913)
J Forensic Sci. 2019 Jul;64(4):1096-1099. (PMID: 30562410)
Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1996 Aug;82(2):229-33. (PMID: 8863315)
Dentomaxillofac Radiol. 2019 Oct;48(7):20190053. (PMID: 31322923)
Oral Surg Oral Med Oral Pathol Oral Radiol. 2017 Dec;124(6):588-599. (PMID: 29055644)
Int J Legal Med. 2019 Nov;133(6):1967-1976. (PMID: 31471652)
تواريخ الأحداث: Date Created: 20230119 Date Completed: 20230123 Latest Revision: 20230317
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9851527
DOI: 10.1371/journal.pone.0280523
PMID: 36656878
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0280523