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IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Milano.

AIR nasce in UNIMI nel 2006 con lo scopo di raccogliere, documentare e conservare le informazioni sulla produzione scientifica dell'Università degli Studi di Milano e costituisce di fatto l'Anagrafe della ricerca dell'Ateneo.

Objectives: To test the validity of a novel protocol for 3D sagittal jaw discrepancy assessment (skeletal class determination) through comparison with common 2D indexes by the use of reduced FOV (10 × 10) CBCT which shows at least from the Frankfurt plane to the B point vertically, and from the most anterior between A and B point to Po point horizontally. Methods: A sample of CBCT scans of 109 adult patients (46 females; 63 males; mean age 30 years ± 11.6) equally distributed between I, II and III class was selected. Skeletal class was evaluated with specific software using the distance of A and B point’s projection (AF-BF) on FHp (Frankfurt horizontal plane) and compared to 2D common indexes (ANB and Witts appraisal). The validity and reliability of the aforementioned analyses were determined using intra-class correlation coefficients, quadratic weighted Cohen’s K and sensitivity. Result: A selected range of values of 2.5 ± 2.5 AF-BF showed a solid correlation with the ANB angle (r = 0.846, K = 0.838, p < 0.001) and moderate with Wits appraisal (r = 0.723, K = 0.720, p < 0.001). Conclusions: AF-BF showed high reliability in skeletal class determination on reduced FOV CBCT without the use of S and N cephalometric landmarks. Key Points: • Reduced FOV CT allows skeletal class determination for orthodontic purposes. • A new 3D-reduced FOV cephalometry is proposed. • AF-BF is a reliable alternative to ANB.

3D cephalometry on reduced FOV CBCT: skeletal class assessment through AF-BF on Frankfurt plane—validity and reliability through comparison with 2D measurements / M. Farronato, C. Maspero, A. Abate, C. Grippaudo, S.T. Connelly, G.M. Tartaglia. - In: EUROPEAN RADIOLOGY. - ISSN 0938-7994. - (2020 May 07). [Epub ahead of print]

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