Automated CTA based measurements for planning support of minimally invasive aortic valve replacement surgery.
Med Eng Phys
; 39: 123-128, 2017 01.
Article
in En
| MEDLINE
| ID: mdl-27913175
ABSTRACT
Minimally invasive aortic valve replacement (mini-AVR) procedures are a valuable alternative to conventional open heart surgery. Currently, planning of mini-AVR consists of selection of the intercostal space closest to the sinotubular junction on preoperative computer tomography images. We developed an automated algorithm detecting the sinotubular junction (STJ) and intercostal spaces for finding the optimal incision location. The accuracy of the STJ detection was assessed by comparison with manual delineation by measuring the Euclidean distance between the manually and automatically detected points. In all 20 patients, the intercostal spaces were accurately detected. The median distance between automated and manually detected STJ locations was 1.4 [IQR= 0.91-4.7] mm compared to the interobserver variation of 1.0 [IQR= 0.54-1.3] mm. For 60% of patients, the fourth intercostal space was the closest to the STJ. The proposed algorithm is the first automated approach for detecting optimal incision location and has the potential to be implemented in clinical practice for planning of various mini-AVR procedures.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Aortic Valve
/
Minimally Invasive Surgical Procedures
/
Heart Valve Prosthesis Implantation
/
Computed Tomography Angiography
Type of study:
Guideline
Limits:
Aged
/
Aged80
/
Female
/
Humans
/
Male
Language:
En
Journal:
Med Eng Phys
Journal subject:
BIOFISICA
/
ENGENHARIA BIOMEDICA
Year:
2017
Document type:
Article