PMC

The individual ranges of linear regressions are depicted. A The slopes of the Higuchi dimension show a slight tendency for two linear regions. Thus, the range of linear regression was limited to the second linear region in order to gain the best absolute dimension values. The linear regression fit the data very well, with coefficients of determination R² higher than 0.993. B The plot data of the Fourier dimension are highly dispersed. The coefficients of determination R² were about 0.332. The highest value was 0.664.

EULAR Study Group on Microcirculation in Rheumatic Diseases classification of scleroderma patterns vs non-scleroderma patterns
Based on capillaroscopic characteristics (density, dimension, abnormal morphology and haemorrhages), capillaroscopic images can be categorized as ‘non-scleroderma patterns‘ (A–C) or ‘scleroderma patterns’ (D–F). (A) An example of a normal stereotype. Density: eight capillaries per linear mm (line arrows). Dimension: no giants. Morphology: no abnormal shapes. Haemorrhages: absent. Interpretation: non-scleroderma pattern. (B) An example of non-specific abnormalities. Density: eight capillaries per linear mm (line arrows). Dimension: no giants. Morphology: presence of abnormal shapes (section symbol/double-s). Haemorrhages: absent. Interpretation: non-scleroderma pattern. (C) An example of non-specific abnormalities. Density: nine capillaries per linear mm (line arrows). Dimension: no giants. Morphology: no abnormal shapes. Haemorrhages: present (delta symbol). Interpretation: non-scleroderma pattern. (D) An example of an early scleroderma pattern. Density: seven capillaries per linear mm (line arrows). Dimension: presence of a giant (arrow shape). Morphology: no abnormal shapes. Haemorrhages: absent. Interpretation: an early scleroderma pattern. (E) An example of an active scleroderma pattern. Density: five capillaries per linear mm (line arrows). Dimension: presence of a giant (arrow shape). Morphology: no abnormal shapes. Haemorrhages: absent. Interpretation: an active scleroderma pattern. (F) An example of a late scleroderma pattern. Density: one capillary per linear mm (line arrow). Dimension: no giants. Morphology: abnormal shape (section symbol/double-s). Haemorrhages: absent. Interpretation: a late scleroderma pattern. Adapted from Ref. [].

A Linear regression between the surface of the frontal sinus (sup), in the ordinate, and the lower anterior skeletal vertical dimension (AHL), in the abscissa. B Linear regression between the volume quantities of the frontal sinus (vol), in the ordinate, and the lower anterior skeletal vertical dimension (AHL, in the abscissa. C Linear regression between the width of the frontal sinus (xmax), in the ordinate, and the lower anterior skeletal vertical dimension (AHL), in the abscissa. D Linear regression between the depth of the frontal sinus (ymax), in the ordinate, and the lower anterior skeletal vertical dimension (AHL), in the abscissa. E Linear regression between the height of the frontal sinus (zmax), in the ordinate, and the lower anterior skeletal vertical dimension (AHL), in the abscissa

A Linear regression between the surface dimensions of the frontal sinus (sup), in the ordinate, and the vertical skeletal anterior superior dimension (AHU), in the abscissa. B Linear regression between the volume quantities of the frontal sinus (vol), in ordinate, and anterior superior skeletal vertical dimension (AHU), in abscissa. C Linear regression between the width of the frontal sinus (xmax), in ordinate, and anterior superior skeletal vertical dimension (AHU), in abscissa. D Linear regression between the depth of the frontal sinus (ymax), in the ordinate, and anterior superior skeletal vertical dimension (AHU), in the abscissa. E Linear regression between the height of the frontal sinus (zmax), in ordinate, and anterior superior skeletal vertical dimension (AHU), in abscissa