Publication

Multidetector-row helical CT: analysis of time management and workflow

Journal Paper/Review - Oct 16, 2001

Units
PubMed
Doi

Citation
Roos J, Desbiolles L, Willmann J, Weishaupt D, Marincek B, Hilfiker P. Multidetector-row helical CT: analysis of time management and workflow. Eur Radiol 2001; 12:680-5.
Type
Journal Paper/Review (English)
Journal
Eur Radiol 2001; 12
Publication Date
Oct 16, 2001
Issn Print
0938-7994
Pages
680-5
Brief description/objective

The purpose of this study was to evaluate time management and workflow for multidetector-row helical CT (MDCT). Time for patient and data handling of at total of 580 patients were evaluated at two different time periods (December 1999, August 2000), each for the following baseline measurements: (a) change of clothes/instruction; (b) patient placement on the CT table/i.v. catheter; (c) CT planning and programming; (d) CT data acquisition; (e) CT data reconstruction; (f) CT data storage/printing. All imaging was performed on a Somatom Volume Zoom (Siemens, Erlangen, Germany). Time measurements summarized for different CT protocols revealed the following: (a) 5:01 min (+/- 2.06 min); (b) 4:36 min (+/- 2.43 min); (c) 4:11 min (+/- 2.55 min); (d) 0:43 min (+/- 0.15 min); (e) 6:59 min (+/- 2.39 min); (f) 09:51 min (+/- 3.51 min). Planning and programming was most time-consuming for CT angiography, whereas chest and abdominal CT needed only 3:26 and 3:30 min, respectively. Reconstruction time was highest for HRCT (9:22 min) and CTA (9:03 min). Data storage/printing was most time-consuming for HRCT (13:02 min), followed by combined neck-chest-abdomen examinations (12:19 min). Comparing the two time periods, during which a software update was performed, a mean time reduction of 4:31 min per patient (15%, p<0.001) was achieved. Whereas CT data acquisition time is no longer a problem with MDCT, patient management, data reconstruction, and data storage are the most time-consuming parts. Well-trained technicians, state-of-the-art workstations, and fast networking are the most important factors to improve workflow.