Gaba Priyanka, Gupta Deepak Kumar, Singla Litesh, Krishan Kewal
Department of Orthodontics and Dentofacial Orthopedics, Panjab University, Dr Harvansh Singh Judge Institute of Dental Sciences & Hospital. Chandigarh, India.
Department of Orthodontics and Dentofacial Orthopedics, Panjab University, Dr Harvansh Singh Judge Institute of Dental Sciences & Hospital. Chandigarh, India. MDS (Orthodontics and dentofacial orthopedics)
Rev Cient Odontol (Lima). 2025 May 16;13(2):e237. doi: 10.21142/2523-2754-1302-2025-237. eCollection 2025 Apr-Jun.
For early diagnosis of malocclusion various methods such as lip prints, fingerprints and palatal rugae have been studied in the past, however, this study was unique in that it takes into consideration three factors i.e., lip prints, fingerprints and palatal rugae simultaneously to correlate with malocclusion.
105 participants were equally divided as class I, class II and class III malocclusion based on ANB angle, Beta angle and Wits appraisal. The lip prints were recorded using lipstick cellophane method and were examined by Suzuki and Tsuchihashi method. For recording fingerprints, ink and stamp method was used and were analysed using Michael and Kucken method. Palatal rugae were marked on patients' maxillary casts and examined using the Lysell and the Kapali et al classification. To investigate the relationship between lip prints, fingerprints, palatal rugae, and skeletal malocclusions, the aforementioned values were all put through the Chi-square test.
The lip print analysis revealed type II pattern being most predominant in all malocclusion groups. The fingerprint pattern analysis revealed Loop pattern being most predominant and arch pattern as least predominant. Whorl pattern was more frequent in Class III malocclusion compared to class I and class II malocclusion. The palatal rugae pattern revealed curved shape of palatal rugae and primary rugae as most predominant in all malocclusion groups.
The study may have implications in allometric evaluations pertaining to anthropological, anatomical, morphological studies, however, the study may not be directly useful in early diagnosis of skeletal malocclusion.
过去已经研究了多种用于早期诊断错牙合畸形的方法,如唇纹、指纹和腭皱襞,然而,本研究的独特之处在于它同时考虑了三个因素,即唇纹、指纹和腭皱襞,并将其与错牙合畸形相关联。
根据ANB角、贝塔角和Wits评估,将105名参与者平均分为I类、II类和III类错牙合畸形组。使用口红玻璃纸法记录唇纹,并采用铃木和土桥法进行检查。记录指纹时,使用墨水和印章法,并采用迈克尔和库肯法进行分析。在患者的上颌模型上标记腭皱襞,并使用利塞尔和卡帕利等人的分类法进行检查。为了研究唇纹、指纹、腭皱襞与骨骼错牙合畸形之间的关系,将上述所有值进行卡方检验。
唇纹分析显示,II型模式在所有错牙合畸形组中最为常见。指纹模式分析显示,箕型模式最为常见,弓型模式最不常见。与I类和II类错牙合畸形相比,III类错牙合畸形中的斗型模式更为常见。腭皱襞模式显示,腭皱襞的弯曲形状和初级皱襞在所有错牙合畸形组中最为常见。
该研究可能对人类学、解剖学、形态学研究中的异速生长评估有影响,然而,该研究可能对骨骼错牙合畸形的早期诊断没有直接帮助。