title: Converting dose-length product to effective dose at CT.
abstract: OBJECTIVE
  To determine effective dose (ED) per unit dose-length product (DLP) conversion factors for computed tomographic (CT) dosimetry.
  
  
  METHODS
  A CT dosimetry spreadsheet was used to compute patient ED values and corresponding DLP values. The ratio of ED to DLP was determined with 16-section CT scanners from four vendors, as well as with five models from one manufacturer that spanned more than 25 years. ED-to-DLP ratios were determined for 2-cm scan lengths along the patient axis, as well as for typical scan lengths encountered at head and body CT examinations. The dependence of the ratio of ED to DLP on x-ray tube voltage (in kilovolts) was investigated, and the values obtained with the spreadsheet were compared with those obtained by using two other commercially available CT dosimetry software packages.
  
  
  RESULTS
  For 2-cm scan lengths, changes in the scan region resulted in differences to ED of a factor of 30, but much lower variation was obtained for typical scan lengths at clinical head and body imaging. Inter- and intramanufacturer differences for ED/DLP were generally small. Representative values of ED/DLP at 120 kV were 2.2 microSv/mGy x cm (head scans), 5.4 microSv/mGy x cm (cervical spine scans), and 18 microSv/mGy x cm (body scans). For head scans, ED/DLP was approximately independent of x-ray tube voltage, but for body scans, the increase from 80 to 140 kV increased the ratio of ED to DLP by approximately 25%. Agreement in ED/DLP data for all three software packages was generally very good, except for cervical spine examinations where one software package determined an ED/DLP ratio that was approximately double that of the other two.
  
  
  CONCLUSIONS
  This article describes a method of providing CT users with a practical and reliable estimate of adult patient EDs by using the DLP displayed on the CT console at the end of any given examination.
authors: Department of Radiology, Medical University of South Carolina, PO Box 250322, 169 Ashley Ave, Charleston, SC 29425, USA. huda@musc.edu
authors: Walter
authors: W
authors: Huda
authors: Kent M
authors: KM
authors: Ogden
authors: Mohammad R
authors: MR
authors: Khorasani
mesh_terms: D000465:Algorithms; D001822:Body Burden; D011829:Radiation Dosage; D012062:Relative Biological Effectiveness; D014057:Tomography, X-Ray Computed; D014915:Whole-Body Counting / Q000379:methods*