Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients.
Radiother Oncol
; 127(3): 487-492, 2018 06.
Article
in En
| MEDLINE
| ID: mdl-29703498
ABSTRACT
PURPOSE:
This study automatically quantified calcifications in coronary arteries (CAC) and thoracic aorta (TAC) on breast planning computed tomography (CT) scans and assessed its reproducibility compared to manual scoring. MATERIAL ANDMETHODS:
Dutch (nâ¯=â¯1199) and Singaporean (nâ¯=â¯1090) breast cancer patients with radiotherapy planning CT scan were included. CAC and TAC were automatically scored using deep learning algorithm. CVD risk categories were based on Agatson CAC 0, 1-10, 11-100, 101-400 and >400. Reliability between automatic and manual scoring was assessed in 120 randomly selected CT scans from each population, with linearly weighted kappa for CAC categories and intraclass correlation coefficient for TAC.RESULTS:
Median age was higher in Dutch patients than Singaporean patients 57 versus 52â¯years. CAC and TAC increased with age and were more present in Dutch patients than Singaporean patients 24.2% versus 17.3% and 73.0% versus 62.2%, respectively. Reliability of CAC categories and TAC was excellent in the Netherlands (0.85 (95% confidence interval (CI)â¯=â¯0.77-0.93) and 0.98 (95% CIâ¯=â¯0.96-0.98) respectively) and Singapore (0.90 (95% CIâ¯=â¯0.84-0.96) and 0.99 (95% CIâ¯=â¯0.98-0.99) respectively).CONCLUSIONS:
CAC and TAC prevalence was considerable and increased with age. Deep learning software is a reliable method to automatically measure CAC and TAC on radiotherapy breast CT scans.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Aortic Diseases
/
Coronary Artery Disease
/
Radiotherapy Planning, Computer-Assisted
/
Breast Neoplasms
/
Calcinosis
Type of study:
Risk_factors_studies
Limits:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Radiother Oncol
Year:
2018
Document type:
Article
Publication country:
IE
/
IRELAND
/
IRLANDA