@article{Carichino_Guidoboni_Verticchio Vercellin_Milano_Cutolo_Tinelli_De Silvestri_Lapin_Gross_Siesky_Harris_2016, title={Computer-aided identification of novel ophthalmic artery waveform parameters in healthy subjects and glaucoma patients}, volume={1}, url={https://www.maio-journal.com/index.php/MAIO/article/view/31}, DOI={10.35119/maio.v1i2.31}, abstractNote={<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><em>Purpose:</em> Arterial waveform parameters (WPs) are commonly used to monitor and diagnose systemic diseases. Color Doppler Imaging (CDI) is a consolidated technique to measure blood velocity profile in some of the major ocular vessels. This study proposes a computer-aided manipulation process of ophthalmic artery (OA) CDI images to classify and quantify WPs that might be significant in the assessment of glaucoma.</p><p><em>Methods:</em> Fifty CDI images acquired by four different operators on nine healthy individuals and 38 CDI images of 38 open-angle glaucoma (OAG) patients were considered. An ad-hoc semi-automated image processing code was implemented to detect the digitalized OA velocity waveform and to extract the WPs. Concordance correlation coefficient (CCC), two-sample t-test and Pearson’s correlation coefficient were used to test for similarities, differences and associations among variables.</p><p><em>Results:</em> The OA-CDI images manipulation proposed showed a higher concordance between measured peak systolic velocity (PSV) data and extracted PSV data (0.80≤CCC≤0.98) than on end diastolic velocity (EDV) (0.45≤CCC≤0.63) and resistive index (RI) (0.30≤CCC≤0.58) data. In OAG patients, EDV, RI, subendocardial viability ratio (SEVR), period (T), area ratio (f) and normalized distance between ascending and descending limb (DAD/T) were found statistically correlated to at least one of the following factors: gender, age, ocular medications and year of diagnosis. When compared to healthy individuals, OAG patients OA-CDI profiles showed statistically higher values of f (p < 0.001) and DAD/T (p = 0.002) (p-values corrected by age and gender).</p><p><em>Conclusion:</em> The proposed computer-aided manipulation of OA-CDI images allowed to identify DAD/T as a novel WP that vary significantly among healthy individuals and OAG patients, and among female and male OAG patients. Future studies on longitudinal OAG data are suggested to investigate the potential of DAD/T to predict severity and progression of the disease.</p></div></div></div>}, number={2}, journal={Modeling and Artificial Intelligence in Ophthalmology}, author={Carichino, Lucia and Guidoboni, Giovanna and Verticchio Vercellin, Alice Chandra and Milano, Giovanni and Cutolo, Carlo Alberto and Tinelli, Carmine and De Silvestri, Annalisa and Lapin, Sergey and Gross, Joshua C. and Siesky, Brent A. and Harris, Alon}, year={2016}, month={Dec.}, pages={59–69} }