دورية أكاديمية
Artificial intelligence and infrared thermography as auxiliary tools in the diagnosis of temporomandibular disorder.
| العنوان: | Artificial intelligence and infrared thermography as auxiliary tools in the diagnosis of temporomandibular disorder. |
|---|---|
| المؤلفون: | Diniz de Lima E; Department of Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil., Souza Paulino JA; Computer Science, Federal University, Campina Grande, Brazil., Lira de Farias Freitas AP; Department of Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil., Viana Ferreira JE; Department of Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil., Barbosa JDS; Department of Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil., Bezerra Silva DF; Department of Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil., Bento PM; Department of Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil., Araújo Maia Amorim AM; Department of Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil., Melo DP; Department of Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil. |
| المصدر: | Dento maxillo facial radiology [Dentomaxillofac Radiol] 2022 Feb 01; Vol. 51 (2), pp. 20210318. Date of Electronic Publication: 2021 Oct 06. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Oxford University Press Country of Publication: England NLM ID: 7609576 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0250-832X (Print) Linking ISSN: 0250832X NLM ISO Abbreviation: Dentomaxillofac Radiol |
| أسماء مطبوعة: | Publication: January 2024- : [Oxford] : Oxford University Press Original Publication: Erlangen, Germany : University Press Erlangen |
| مواضيع طبية MeSH: | Temporomandibular Joint Disorders*/diagnostic imaging , Thermography*, Algorithms ; Artificial Intelligence ; Humans ; Masseter Muscle |
| مستخلص: | Objective: To assess three machine learning (ML) attribute extraction methods: radiomic, semantic and radiomic-semantic association on temporomandibular disorder (TMD) detection using infrared thermography (IT); and to determine which ML classifier, KNN, SVM and MLP, is the most efficient for this purpose. Methods and Materials: 78 patients were selected by applying the Fonseca questionnaire and RDC/TMD to categorize control patients (37) and TMD patients (41). IT lateral projections of each patient were acquired. The masseter and temporal muscles were selected as regions of interest (ROI) for attribute extraction. Three methods of extracting attributes were assessed: radiomic, semantic and radiomic-semantic association. For radiomic attribute extraction, 20 texture attributes were assessed using co-occurrence matrix in a standardized angulation of 0°. The semantic features were the ROI mean temperature and pain intensity data. For radiomic-semantic association, a single dataset composed of 28 features was assessed. The classification algorithms assessed were KNN, SVM and MLP. Hopkins's statistic, Shapiro-Wilk, ANOVA and Tukey tests were used to assess data. The significance level was set at 5% ( p < 0.05). Results: Training and testing accuracy values differed statistically for the radiomic-semantic association ( p = 0.003). MLP differed from the other classifiers for the radiomic-semantic association ( p = 0.004). Accuracy, precision and sensitivity values of semantic and radiomic-semantic association differed statistically from radiomic features ( p = 0.008, p = 0.016 and p = 0.013). Conclusion: Semantic and radiomic-semantic-associated ML feature extraction methods and MLP classifier should be chosen for TMD detection using IT images and pain scale data. IT associated with ML presents promising results for TMD detection. |
| References: | Dentomaxillofac Radiol. 2020 Jan;49(1):20190107. (PMID: 31386555) Entropy (Basel). 2019 Feb 28;21(3):. (PMID: 33266949) J Digit Imaging. 2019 Aug;32(4):565-570. (PMID: 31197559) J Thorac Oncol. 2016 Dec;11(12):2120-2128. (PMID: 27422797) PLoS One. 2017 Nov 16;12(11):e0187908. (PMID: 29145421) Biomed Phys Eng Express. 2020 Mar 13;6(3):035007. (PMID: 33438652) Br J Gen Pract. 2019 Sep 26;69(687):523-524. (PMID: 31558543) Nat Biotechnol. 2006 Dec;24(12):1565-7. (PMID: 17160063) Nat Methods. 2018 Jan;15(1):5-6. (PMID: 30100821) Pain Res Manag. 2020 Nov 17;2020:5481365. (PMID: 33282037) Curr Med Imaging. 2020;16(5):611-621. (PMID: 32484096) Comput Med Imaging Graph. 2018 Jul;67:45-54. (PMID: 29753964) Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1997 May;83(5):609-18. (PMID: 9159823) J Back Musculoskelet Rehabil. 2013;26(3):323-8. (PMID: 23893148) Dentomaxillofac Radiol. 2012 Dec;41(8):621-9. (PMID: 23166359) Infrared Phys Technol. 2014 Sep;66:160-175. (PMID: 32288546) J Prosthodont. 2013 Apr;22(3):203-7. (PMID: 22985416) J Dent Res. 2020 Nov;99(12):1363-1367. (PMID: 32609562) Complement Ther Med. 2019 Jun;44:277-281. (PMID: 31126567) Med Sci Monit. 2015 May 23;21:1485-93. (PMID: 26002613) Saudi Dent J. 2015 Jan;27(1):44-9. (PMID: 25544814) Theranostics. 2019 Feb 12;9(5):1303-1322. (PMID: 30867832) Am Fam Physician. 2015 Mar 15;91(6):378-86. (PMID: 25822556) Sci Rep. 2017 Jun 14;7(1):3519. (PMID: 28615677) J Dent. 2010 Oct;38(10):788-95. (PMID: 20599464) J Int Soc Prev Community Dent. 2020 Sep 28;10(5):674-679. (PMID: 33282779) Sensors (Basel). 2018 Aug 25;18(9):. (PMID: 30149621) Dentomaxillofac Radiol. 2020 May 1;49(4):20190392. (PMID: 31794257) Braz J Phys Ther. 2013 Jan-Feb;17(1):24-31. (PMID: 23117649) Oral Surg Oral Med Oral Pathol Oral Radiol. 2019 Feb;127(2):185-192. (PMID: 30482738) J Nondestr Eval. 2021;40(1):9. (PMID: 33424071) EPMA J. 2020 Feb 7;11(1):17-29. (PMID: 32140183) Rom J Morphol Embryol. 2016;57(1):191-5. (PMID: 27151707) Int J Radiat Oncol Biol Phys. 2018 Nov 15;102(4):1143-1158. (PMID: 30170872) J Oral Rehabil. 2018 Oct;45(10):747-755. (PMID: 29972708) J Prosthet Dent. 1993 Feb;69(2):216-21. (PMID: 8429516) Cranio. 2021 Mar 9;:1-8. (PMID: 33689590) Eur Radiol. 2019 Nov;29(11):6100-6108. (PMID: 31115618) Infrared Phys Technol. 2012 Jul;55(4):221-235. (PMID: 32288544) Dentomaxillofac Radiol. 1996 Jun;25(3):119-24. (PMID: 9084259) Sci Rep. 2020 May 15;10(1):8012. (PMID: 32415284) J Craniomandib Disord. 1992 Fall;6(4):301-55. (PMID: 1298767) Front Oncol. 2020 Jun 01;10:895. (PMID: 32547958) J Bodyw Mov Ther. 2014 Jul;18(3):430-4. (PMID: 25042314) Braz J Phys Ther. 2018 Jul - Aug;22(4):276-282. (PMID: 29519746) Am J Orthod Dentofacial Orthop. 2007 Oct;132(4):429-38. (PMID: 17920495) Braz Oral Res. 2018 Jul 10;32:e50. (PMID: 29995062) Braz Oral Res. 2015;29(1):S1806-83242015000100303. (PMID: 26892353) J Bodyw Mov Ther. 2014 Jan;18(1):49-55. (PMID: 24411149) Dentomaxillofac Radiol. 2014;43(8):20130440. (PMID: 25144605) PLoS One. 2017 Dec 13;12(12):e0189369. (PMID: 29236744) Acta Derm Venereol. 1995 Jul;75(4):264-8. (PMID: 8578944) |
| فهرسة مساهمة: | Keywords: Artificial Intelligence; Temporomandibular Joint Disorders; Thermography |
| تواريخ الأحداث: | Date Created: 20211006 Date Completed: 20220125 Latest Revision: 20230202 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC8802706 |
| DOI: | 10.1259/dmfr.20210318 |
| PMID: | 34613829 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 0250-832X |
|---|---|
| DOI: | 10.1259/dmfr.20210318 |