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Comparison of CT and PET-CT based planning of radiation therapy in locally advanced pancreatic carcinoma

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, September 2008
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Title
Comparison of CT and PET-CT based planning of radiation therapy in locally advanced pancreatic carcinoma
Published in
Journal of Experimental & Clinical Cancer Research, September 2008
DOI 10.1186/1756-9966-27-41
Pubmed ID
Authors

Erkan Topkan, Ali A Yavuz, Mehmet Aydin, Cem Onal, Fuat Yapar, Melek N Yavuz

Abstract

To compare computed tomography (CT) with co-registered positron emission tomography-computed tomography (PET-CT) as the basis for delineating gross tumor volume (GTV) in unresectable, locally advanced pancreatic carcinoma (LAPC). Fourteen patients with unresectable LAPC had both CT and PET images acquired. For each patient, two three-dimensional conformal plans were made using the CT and PET-CT fusion data sets. We analyzed differences in treatment plans and doses of radiation to primary tumors and critical organs. Changes in GTV delineation were necessary in 5 patients based on PET-CT information. In these patients, the average increase in GTV was 29.7%, due to the incorporation of additional lymph node metastases and extension of the primary tumor beyond that defined by CT. For all patients, the GTVCT versus GTVPET-CT was 92.5 +/- 32.3 cm3 versus 104.5 +/- 32.6 cm3 (p = 0.009). Toxicity analysis revealed no clinically significant differences between two plans with regard to doses to critical organs. Co-registration of PET and CT information in unresectable LAPC may improve the delineation of GTV and theoretically reduce the likelihood of geographic misses.

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Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Bachelor 4 20%
Student > Master 3 15%
Professor 2 10%
Professor > Associate Professor 2 10%
Other 5 25%
Readers by discipline Count As %
Medicine and Dentistry 11 55%
Nursing and Health Professions 3 15%
Engineering 2 10%
Physics and Astronomy 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 1 5%