title: Early prediction of maxillary canine impaction: number doubts: Author response.
authors.affiliation: 1 Department of Preventive Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.|2 Department of Oral Health Sciences - Orthodontics, KU Leuven and Dentistry, University Hospitals Leuven, Leuven, Belgium.
authors.forename: Ali
authors.initials: A
authors.lastname: Alqerban
authors.affiliation: 2 Department of Oral Health Sciences - Orthodontics, KU Leuven and Dentistry, University Hospitals Leuven, Leuven, Belgium.
authors.forename: Ann-Sophie
authors.initials: AS
authors.lastname: Storms
authors.affiliation: 2 Department of Oral Health Sciences - Orthodontics, KU Leuven and Dentistry, University Hospitals Leuven, Leuven, Belgium.
authors.forename: Martine
authors.initials: M
authors.lastname: Voet
authors.affiliation: 3 I-BioStat Department of Public Health, KU Leuven and Universiteit Hasselt, Belgium.
authors.forename: Steffen
authors.initials: S
authors.lastname: Fieuws
authors.affiliation: 2 Department of Oral Health Sciences - Orthodontics, KU Leuven and Dentistry, University Hospitals Leuven, Leuven, Belgium.
authors.forename: Guy
authors.initials: G
authors.lastname: Willems
mesh_terms: D003481:Cuspid; D008437:Maxilla; D014095:Tooth, Impacted