TY - JOUR
T1 - Morphometric study of adipocytes on breast cancer by means of photonic microscopy and image analysis
AU - Suárez–Nájera, Luis Eduardo
AU - Chanona–Pérez, José Jorge
AU - Valdivia–Flores, Alejandra
AU - Marrero–Rodríguez, Daniel
AU - Salcedo–Vargas, Mauricio
AU - García–Ruiz, David Israel
AU - Castro– Reyes, Marco Antonio
N1 - Publisher Copyright:
© 2017 Wiley Periodicals, Inc.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Worldwide, breast cancer (BrCa) is currently the leading cause of deaths associated to malignant lesions in adult women. Given that some studies have mentioned that peritumoral adipocytes may contribute to breast carcinogenesis, present work sought to quantitative evaluate the morphometry of these cells in a group of adult women. Three thousand six hundred sixty four breast adipocytes, that came from biopsies of a group of adult females with different types of breast carcinomas (ductal, lobular, and mixed) and one with normal tissues, were evaluated through an image analysis (IA) process regarding six morphometric descriptors: area (A), perimeter (P), Feret diameter (FD), aspect ratio (AR), roundness factor (RF), and fractal dimension of cellular contour (FDC). Data showed that the adipocytes of the normal tissues group were bigger (A: 3398 ± 2331 µm2, P: 239 ± 83 µm, and FD: 79.9 ± 24.5 µm) than those from BrCa samples (A: 2860 ± 1933 µm2, P: 214 ± 66 µm, and FD: 73.2 ± 22.5 µm), and presented a more irregular contour (FDC of 1.370 ± 0.037 for normal group and of 1.335 ± 0.049 for the oncologic one). Moreover, it could be accounted that adipocytes of mixed carcinomas were largest (FD: 75.1 ± 22.4 µm) than those of lobular lesions (FD: 61.6 ± 22.6 µm), while the adipocytes of ductal carcinomas were the most oval (AR: 1.421 ± 0.524) and roughest (FDC: 1.324 ± 0.050) cells. IA results suggest that BrCa lesions can be categorized through a quantitative morphometric evaluation of peritumoral adipocytes. These findings could let the development of an analytical tool to help the Pathologist to enhance the accuracy of the oncologic diagnose.
AB - Worldwide, breast cancer (BrCa) is currently the leading cause of deaths associated to malignant lesions in adult women. Given that some studies have mentioned that peritumoral adipocytes may contribute to breast carcinogenesis, present work sought to quantitative evaluate the morphometry of these cells in a group of adult women. Three thousand six hundred sixty four breast adipocytes, that came from biopsies of a group of adult females with different types of breast carcinomas (ductal, lobular, and mixed) and one with normal tissues, were evaluated through an image analysis (IA) process regarding six morphometric descriptors: area (A), perimeter (P), Feret diameter (FD), aspect ratio (AR), roundness factor (RF), and fractal dimension of cellular contour (FDC). Data showed that the adipocytes of the normal tissues group were bigger (A: 3398 ± 2331 µm2, P: 239 ± 83 µm, and FD: 79.9 ± 24.5 µm) than those from BrCa samples (A: 2860 ± 1933 µm2, P: 214 ± 66 µm, and FD: 73.2 ± 22.5 µm), and presented a more irregular contour (FDC of 1.370 ± 0.037 for normal group and of 1.335 ± 0.049 for the oncologic one). Moreover, it could be accounted that adipocytes of mixed carcinomas were largest (FD: 75.1 ± 22.4 µm) than those of lobular lesions (FD: 61.6 ± 22.6 µm), while the adipocytes of ductal carcinomas were the most oval (AR: 1.421 ± 0.524) and roughest (FDC: 1.324 ± 0.050) cells. IA results suggest that BrCa lesions can be categorized through a quantitative morphometric evaluation of peritumoral adipocytes. These findings could let the development of an analytical tool to help the Pathologist to enhance the accuracy of the oncologic diagnose.
KW - cellular morphology
KW - fatty tissue
KW - oncology
KW - principal components analysis
UR - http://www.scopus.com/inward/record.url?scp=85035229061&partnerID=8YFLogxK
U2 - 10.1002/jemt.22972
DO - 10.1002/jemt.22972
M3 - Artículo
C2 - 29193620
SN - 1059-910X
VL - 81
SP - 240
EP - 249
JO - Microscopy Research and Technique
JF - Microscopy Research and Technique
IS - 2
ER -