Cephalometric measures correlate with polysomnography parameters in individuals with midface deficiency

Published: 13 Feb 2020 | Version 1 | DOI: 10.17632/gbn66cpg4s.1

Description of this data

To determine whether the cephalometric measurements studied could correlate with the polysomnographic parameters in order to provide a positive or negative predictive value for association with OSAS.

Experiment data files

  • Planilhas
  • Telerradiografias iniciais

Steps to reproduce


  1. The "Telerradiografias iniciais" folder contains patient exams encoded by a numeral followed by the letters A (before) or D (after).
  2. The "Marcaramento" file has the information to which patient each radiographic exam belongs.
  3. From these radiographs, the tracings described in the article can be replicated.
  4. The "Medidas cefalométricas" worksheet contains tabs for cephalometric measurements taken 3 times by the same examiner and calculating the averages of these measurements
  5. The "Ermac_avanço Max" spreadsheet contains all cephalometric data combined with polysomnographic data, measures of association, amount of bone movement in each type of surgery.

Latest version

  • Version 1


    Published: 2020-02-13

    DOI: 10.17632/gbn66cpg4s.1

    Cite this dataset

    Bittar, Renato (2020), “Cephalometric measures correlate with polysomnography parameters in individuals with midface deficiency”, Mendeley Data, v1 http://dx.doi.org/10.17632/gbn66cpg4s.1


Views: 0
Downloads: 385


Universidade Federal de Sao Paulo


Sleep Apnea, Cephalometry


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.