Evidence map›Paper›PMID 41159160›Full record

ArticleJournal of orthodontic science2025

Comparative evaluation of lower incisor intrusion using conventional method and frog staging protocol in clear aligners: A three-dimensional finite element analysis.

Nataleya Felix, Srirengalakshmi Muthuswamy Pandian, Aravind Kumar Subramanian, Nikhillesh Vaiid, Anusuya Venkatachalapathy

Abstract read
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Article in Journal of orthodontic science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nataleya FelixDepartment of Orthodontics and Dentofacial Orthopedics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Srirengalakshmi Muthuswamy PandianDepartment of Orthodontics and Dentofacial Orthopedics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Aravind Kumar SubramanianDepartment of Orthodontics and Dentofacial Orthopedics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Nikhillesh VaiidDepartment of Orthodontics and Dentofacial Orthopedics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Anusuya VenkatachalapathyDepartment of Orthodontics and Dentofacial Orthopedics, Vinayaka Mission's Sankarachariyar Dental College, Vinayaka Mission's Research Foundation (Deemed to be University) Salem, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDeep bite correction with aligners involves anterior intrusion and posterior extrusion. During lower incisor intrusion with clear aligners (CAs), root disengagement from the alveolar bone can cause complications. Frog staging protocol applies sequential forces, targeting lateral incisors first, then central incisors. This study compares conventional and Frog staging intrusion protocols using attachments for mandibular anterior teeth to optimize clinical practice. MATERIALS AND

methodsA 3D finite element (FE) model, including the clear aligner, periodontal ligament (PDL), and mandibular dentition, was established. Four groups were analyzed: Group 1 (Conventional intrusion with attachments), Group 2 (Conventional intrusion without attachments), Group 3 (Frog staging intrusion with attachments), and Group 4 (Frog staging intrusion without attachments). Rectangular molar attachments (4.0 × 2.0 × 0.75 mm) and vertical canine attachments (3.5 × 1.8 × 0.75 mm) provided anchorage. Incisor attachments (3.0 × 1.5 × 0.75 mm) facilitated precise force application. Stress distribution was evaluated using von Mises stress (overall stress), maximum principal stress (tensile), and minimum principal stress (compressive).

resultsFrog staging resulted in balanced stress distribution and reduced adverse effects compared to conventional intrusion. Attachments minimized stress and displacement, enhancing intrusion mechanics. Frog staging better controlled root displacement and stress concentration at the root apex.

conclusionsFrog staging intrusion with attachments is biomechanically superior for lower incisor intrusion, reducing complications and providing a safer approach for deep bite correction with CAs.

Indexed as

Clear alignersdeep bite correctionfinite element analysisfrog stagingintrusion mechanics

Identifiers

PMID41159160
PMCPMC12558400

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.