Literature DB >> 11870487

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

Justus E Roos1, Lotus M Desbiolles, Jürgen K Willmann, Dominik Weishaupt, Borut Marincek, Paul R Hilfiker.   

Abstract

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.

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Mesh:

Year:  2001        PMID: 11870487     DOI: 10.1007/s003300101138

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  8 in total

1.  Low-contrast detectability in volume rendering: a phantom study on multidetector-row spiral CT data.

Authors:  Hoen-Oh Shin; Christian V Falck; Michael Galanski
Journal:  Eur Radiol       Date:  2003-10-11       Impact factor: 5.315

Review 2.  Multi-detector CT: head and neck imaging.

Authors:  Martin G Mack; Jörn O Balzer; Christopher Herzog; Thomas J Vogl
Journal:  Eur Radiol       Date:  2003-12       Impact factor: 5.315

3.  On-the-fly generation of multiplanar reformation images independent of CT scanner type.

Authors:  Dong Kyun Jeong; Kyoung Ho Lee; Bo Hyoung Kim; Kil Joong Kim; Young Hoon Kim; Vasundhara Bajpai; Yeong Gil Shin
Journal:  J Digit Imaging       Date:  2007-03-24       Impact factor: 4.056

4.  Multislice CT angiography.

Authors:  U Joseph Schoepf; Christoph R Becker; Lars K Hofmann; Marco Das; Thomas Flohr; Bernd M Ohnesorge; Bernhard Baumert; Joshua Rolnick; Jean M Allen; Vassilios Raptopoulos
Journal:  Eur Radiol       Date:  2003-02-26       Impact factor: 5.315

5.  Use of a Dedicated Server to Perform Coronal and Sagittal Reformations in Trauma Examinations.

Authors:  Jason N Itri; William W Boonn
Journal:  J Digit Imaging       Date:  2010-04-15       Impact factor: 4.056

6.  Detection of liver metastases under 2 cm: comparison of different acquisition protocols in four row multidetector-CT (MDCT).

Authors:  Amina Abdelmoumene; Patrick Chevallier; Marc Chalaron; Frédéric Schneider; Francis R Verdun; Phillipe Frascarolo; Reto Meuli; Pierre Schnyder; Alban Denys
Journal:  Eur Radiol       Date:  2005-05-03       Impact factor: 5.315

7.  Whole body 16-row multislice CT in emergency room: effects of different protocols on scanning time, image quality and radiation exposure.

Authors:  Ezio Fanucci; Valeria Fiaschetti; Anna Rotili; Roberto Floris; Giovanni Simonetti
Journal:  Emerg Radiol       Date:  2006-12-20

8.  Three-dimensional scanning with dual-source computed tomography in patients with acute skeletal trauma.

Authors:  Duzgun Yildirim; Cuneyt Tamam; Terman Gumus
Journal:  Clinics (Sao Paulo)       Date:  2010       Impact factor: 2.365

  8 in total

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