Morphometric characterization of collagen and fat in normal ventricular myocardium.
2020
Objective We used automated image analysis software to determine the proportion of collagen, fat, and myocytes across six histological regions of normal ventricular myocardium. Methods Twenty-nine non-cardiac death cases referred to our national cardiac pathology center were included in this study. Whole hearts were macroscopically and microscopically normal following expert histopathological evaluation. Tissue sections from the right ventricular outflow tract, right ventricle (RV), anterior interventricular septum (IVS), posterior IVS, anterior left ventricle (LV), and posterior LV were stained with Picrosirius red for collagen and scanned using a high-resolution slide scanner. Quantification of collagen, fat, and myocyte proportions was performed using Visiopharm software after automated exclusion of perivascular collagen. Results The majority of decedents were male (25/29; 86%) with a mean age at death of 32.1 ± 9.9 (range 18-54) and mean BMI 28.7 ± 7.3. We report predicted values (collagen %, fat %, myocytes %) for cardiac tissue composition within the RV, IVS, and LV (including epicardial and endocardial layers). The proportion of collagen and fat were higher in the RV compared with the LV (ratios 1.61 [1.45-1.78]; 2.63 [1.99-3.48], respectively) and RV compared with the IVS (ratios 1.77 [1.60-1.97]; 8.41[6.35-11.13], respectively). The ratio of epicardial versus endocardial fat was increased in both ventricles (RV: ratio 4.49 [3.67-5.49]; LV: ratio 3.46 [2.49-4.81]). In multivariable analysis, there was no significant association between collagen or fat proportion and sex (p=0.12; p=0.08, respectively), age at death (p=0.36; p=0.23, respectively), or BMI (p=0.45; p=0.43, respectively). Conclusions Our findings provide location and sex-specific proportions of myocardial histological tissue composition that may aid quantitative evaluation of pathology in future studies.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
7
References
5
Citations
NaN
KQI