Publikation

Computer-based automated left atrium segmentation and volumetry from ECG-gated coronary CT angiography data: comparison with manual slice segmentation and ultrasound planimetric methods

Wissenschaftlicher Artikel/Review - 11.10.2010

Bereiche
PubMed
DOI

Zitation
Bauer R, Kraus B, Bernhardt D, Kerl J, Lehnert T, Ackermann H, Vega-Higuera F, Vogl T. Computer-based automated left atrium segmentation and volumetry from ECG-gated coronary CT angiography data: comparison with manual slice segmentation and ultrasound planimetric methods. Rofo 2010; 182:1110-7.
Art
Wissenschaftlicher Artikel/Review (Englisch)
Zeitschrift
Rofo 2010; 182
Veröffentlichungsdatum
11.10.2010
eISSN (Online)
1438-9010
Seiten
1110-7
Kurzbeschreibung/Zielsetzung

PURPOSE
Enlargement of the left atrium is a risk factor for cardiovascular or cerebrovascular events. We evaluated the performance of prototype software for fully automated segmentation and volumetry of the left atrium.

MATERIALS AND METHODS
In 34 retrospectively ECG-gated coronary CT angiography scans, the end-systolic (LAVsys) and end-diastolic (LAVdia) volume of the left atrium was calculated fully automatically by prototype software. Manual slice segmentation by two independent experienced radiologists served as the reference standard. Furthermore, two independent observers calculated the LAV utilizing two ultrasound planimetric methods ("area length" and "prolate ellipse") on CTA images. Measurement periods were compared for all methods.

RESULTS
The left atrial volumes calculated with the prototype software were in excellent agreement with the results from manual slice segmentation (r = 0.97 - 0.99; p < 0.001; Bland-Altman) with excellent interobserver agreement between both radiologists (r = 0.99; p < 0.001). Ultrasound planimetric methods clearly showed a higher variation (r = 0.72 - 0.86) with moderate interobserver agreement (r = 0.51 - 0.79). The measurement period was significantly lower with the software (267 ± 28 sec; p < 0.001) than with ultrasound methods (431 ± 68 sec) or manual slice segmentation (567 ± 91 sec).

CONCLUSION
The prototype software showed excellent agreement with manual slice segmentation with the least time consumption. This will facilitate the routine assessment of the LA volume from coronary CTA data and therefore risk stratification.