Title |
Semi-automatic analysis of standard uptake values in serial PET/CT studies in patients with lung cancer and lymphoma
|
---|---|
Published in |
BMC Medical Imaging, April 2012
|
DOI | 10.1186/1471-2342-12-6 |
Pubmed ID | |
Authors |
John Ly, Sabine Garpered, Peter Höglund, Eskil Jönsson, Sven Valind, Lars Edenbrandt, Per Wollmer |
Abstract |
Changes in maximum standardised uptake values (SUVmax) between serial PET/CT studies are used to determine disease progression or regression in oncologic patients. To measure these changes manually can be time consuming in a clinical routine. A semi-automatic method for calculation of SUVmax in serial PET/CT studies was developed and compared to a conventional manual method. The semi-automatic method first aligns the serial PET/CT studies based on the CT images. Thereafter, the reader selects an abnormal lesion in one of the PET studies. After this manual step, the program automatically detects the corresponding lesion in the other PET study, segments the two lesions and calculates the SUVmax in both studies as well as the difference between the SUVmax values. The results of the semi-automatic analysis were compared to that of a manual SUVmax analysis using a Philips PET/CT workstation. Three readers did the SUVmax readings in both methods. Sixteen patients with lung cancer or lymphoma who had undergone two PET/CT studies were included. There were a total of 26 lesions. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Mexico | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 5% |
Unknown | 21 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 27% |
Researcher | 5 | 23% |
Other | 2 | 9% |
Professor | 2 | 9% |
Student > Postgraduate | 2 | 9% |
Other | 4 | 18% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 68% |
Engineering | 2 | 9% |
Nursing and Health Professions | 1 | 5% |
Sports and Recreations | 1 | 5% |
Psychology | 1 | 5% |
Other | 2 | 9% |