Lip morphology changes after first premolar extractions in patients with bimaxillary protrusion in North Indian population – A pilot study

Kapoor, Swati; Jaiswal, Ajit Kumar; Chaudhary, Girish; Kochhar, Abhimanyu; Ryait, Jasmeet Kaur; Singh, Chanpreet

doi:10.4103/ijor.ijor_45_20

Cited by 3 publications

(3 citation statements)

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“…After retraction, the teeth move lingually decreasing the protrusion of the lips and also decreasing the distance between the lower lip and H line. 19…”

Section: Discussionmentioning

confidence: 99%

“…After retraction, the teeth move lingually decreasing the protrusion of the lips and also decreasing the distance between the lower lip and H line. 19 For parameter like Inferior sulcus depth, it was seen that the post treatment and VTO predicted values did not show any statistically significant difference between them, suggesting that the software was accurate in predicting the changes in this parameter. It was similar to results of a study done by Lew 18 and Zhang.…”

Section: Meanmentioning

confidence: 92%

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Reliability of Software Prediction of Post Orthodontic Treatment Changes

Sankrit,

Gupta,

Tiwari

et al. 2023

J Indian Orthod Soc

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Aim The aim of this study was to assess the accuracy of Dolphin VTO prediction in patients requiring extraction treatment by comparing the VTO-predicted values and post-treatment values. Method Digital pre and post-treatment lateral cephalograms of 52 patients having Class I bimaxillary protrusion were taken and transferred in Dolphin Imaging software for analysis and VTO prediction. A composite analysis was made containing 17 dental and soft tissue parameters (Holdaway, Mc Namara, Rakosi, Steiners, and Tweed analysis). Results A comparison between post-treatment and VTO-predicted values showed that software was able to predict soft tissue changes accurately in regions such as nose, inferior sulcus depth, and chin region ( p > .05). In dental changes, software was able to predict the inclination of upper incisors to Sn and palatal plane correctly ( p > .05). Parameters for other areas such as upper and lower lip, position of upper and lower incisor show significant difference in their VTO and post-treatment values ( p < .05) showing inaccuracy of the software. Conclusion The VTO prediction of dental and soft tissue changes was significantly different from the post-treatment values for parameters such as superior sulcus depth, lower lip to h line, subnasal to h line, upper lip thickness, lip strain, nasolabial angle, interincisal angle, Ui-NA, Li-NB, and IMPA. For nasal prominence, inferior sulcus depth, chin thickness, UI-SN, and UI-PP, there was no significant difference seen. Since, for most of the parameters, a significant difference was found between the post-treatment and the predicted values, so it was inferred that the software-based VTO prediction could not be fully relied for any treatment planning.

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“…After retraction, the teeth move lingually decreasing the protrusion of the lips and also decreasing the distance between the lower lip and H line. 19…”

Section: Discussionmentioning

confidence: 99%

Section: Meanmentioning

confidence: 92%

Reliability of Software Prediction of Post Orthodontic Treatment Changes

Sankrit,

Gupta,

Tiwari

et al. 2023

J Indian Orthod Soc

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show abstract

“…Various studies have been conducted on the dimensions of individual components of face and its impact on facial beauty. These components include lip profile [8], lip thickness [9], over jet [10], gingival contour [11] and anterior teeth alignment [12]. Premolar extraction and its impact on facial aesthetics is a controversial subject.…”

Section: Discussionmentioning

confidence: 99%

Comparative analysis of mandibular changes after orthodontic treatment with and without extraction of four premolars: A digital cephalometric study

Alex

Shashidhar

Kuttappa

et al. 2022

Acta Marisiensis - Seria Medica

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Objective: To compare and evaluate the cephalometric hard and soft tissue changes of mandible after orthodontic treatment with and without extraction of four first premolar. Methodology: 60 individuals with Class I skeletal pattern were selected as per inclusion criteria. They were divided into two groups: 30 in the extraction group and 30 in the non-extraction group. Each group consists of 15 males and 15 females. Pre-treatment and post-treatment lateral cephalograms of the selected subjects were obtained, analysed and compared to assess the changes might have occurred. Descriptive statistics of the explanatory and outcome variables were calculated by mean and standard deviation for quantitative variables. Paired t test was applied to check the statistical difference of pre-treatment and post-treatment cephalometric parameters within the group (Extraction and non-extraction). Unpaired t test was used to check the statistical difference between extraction and non-extraction groups. The level of significance is set at 5%. Results: B point moved backward with lower incisor retraction. N-A-Pog shows a statistically significant decrease in the extraction group (P=0.003). B-NP shows a statistically significant decrease in extraction group (P=0.001). N- A’-Pog’ shows a statistically significant increase in non-extraction group (P=0.046). Soft tissue thickness in chin increases in extraction group and decreases in non-extraction group. Conclusion: The results indicate that premolar extraction will have a flattening effect on the midface. With proper diagnosis and treatment planning, premolar extractions have high potential to improve the facial profile.

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