Abstract Archives of the RSNA, 2010
Johannes Greupner, Presenter: Nothing to Disclose
Elke Zimmermann MD, Abstract Co-Author: Nothing to Disclose
Bernd K. Hamm MD, Abstract Co-Author: Research Consultant, Bayer AG
Research Consultant, Toshiba Corporation
Stockholder, Siemens AG
Stockholder, General Electric Company
Stockholder, Biomed
Research grant, Toshiba Corporation
Research grant, Koninklijke Philips Electronics NV
Research grant, Siemens AG
Research grant, General Electric Company
Research grant, Elbit Medical Imaging Ltd
Research grant, Bayer AG
Research grant, Guerbet AG
Research grant, Bracco Group
Research grant, B. Braun
Research grant, Knauth
Research grant, Boston Group
Equipment support, Elbit Medical Imaging Ltd
Investigator, Copenhagen Malmo Contrast AB, Lund, Sweden
Marc Dewey MD, Abstract Co-Author: Research grant, General Electric Company
Research grant, Bracco ALTANA Pharma GmbH
Research grant, Guerbet SA
Research grant, Toshiba Corporation
Speakers Bureau, Toshiba Corporation
Speakers Bureau, Bayer AG
Speakers Bureau, Guerbet SA
Consultant, Guerbet SA
Author, Springer Science+Business Media Deutschland GmbH
Global cardiac function assessment using 64-row computed tomography is time-consuming. Therefore, we sought to compare an automatic software tool with an established semi-automatic method.
A total of 36 patients with normal and reduced cardiac function underwent CT with 64 × 0.5 mm detector collimation and global left ventricular function was subsequently assessed by two independent readers using both an automatic region-growing based software tool (with and without manual adjustment) and an established semi-automatic software tool. We also analyzed automatic motion-mapping to identify end-systole.
The time needed for assessment using the semi-automatic approach (12:12±6:19 min) was reduced by 75%-85% with the automatic software tool (01:34±0:29 min [unadjusted] and 02:53±1:10 min [adjusted], both p<0.001, t-test). There was also a good correlation (R=0.90; p<0.001) for the ejection fraction (EF) between the adjusted automatic (59.1% ± 13.6%) and the semi-automatic approach (58.0±15.3%). Also the manually adjusted automatic approach led to significantly smaller limits of agreement than the unadjusted automatic approach for end-diastolic volume (±36.4 ml vs. ±58.5 ml, p=0.006, F-test). Comparing interobserver variability, the semi-automatic approach but not the manually adjusted automatic approach led to a significant difference between the readers for EDV (149.7±57.2 ml vs. 142.8±54.6; p=0.02, t-test) and ESV (69.1±56.7 ml vs. 65.7±52.6 ml; p= 0.048, t-test). Furthermore, the manually adjusted automatic approach also offered significantly smaller limits of agreement than the semi-automatic in regards to ejection fraction (±7.4% vs. ±11.2%; p=0.02, F-test). Using motion mapping to automatically identify end-systole reduced analysis time by 95% (0:38±0:12 min) compared to the semi-automatic approach but showed inferior precision for EF and ESV.
In conclusion, automatic function assessment using 64-row CT with manual adjustment shows good agreement with an established semiautomatic approach while reducing the analysis time by 75% to less than 3 min.
Automatic CT function assessment with a manual adjustment approach offers a fast, comfortable and reliable evaluation of global left function.
Greupner, J,
Zimmermann, E,
Hamm, B,
Dewey, M,
Automatic versus Semi-automatic Global Cardiac Function Assessment Using 64-Row Computed Tomography in Patients with Normal and Reduced Cardiac Function. Radiological Society of North America 2010 Scientific Assembly and Annual Meeting, November 28 - December 3, 2010 ,Chicago IL.
http://archive.rsna.org/2010/9008287.html