RATIONALE AND OBJECTIVES: The authors developed software for creating quantitative maps of arterial and portal perfusion in the upper abdominal organs on personal computers. The image quality of these perfusion computed tomographic (CT) images was visually evaluated. MATERIALS AND METHODS: In 58 patients (38 men, 20 women; mean age, 63.9 years +/- 11.9; range, 22-85 years) with various diseases of the upper abdomen, 91 single-section dynamic CT studies were obtained. The data were transferred on-line to a personal computer, and quantitative maps of arterial and portal perfusion were created by means of the maximum-slope method. Perfusion CT images were reviewed by a radiologist and a radiation technologist, and image quality was rated according to a four-category scoring system (1 = good quality, 2 = moderate, 3 = poor, 4 = images could not be created). RESULTS: Arterial perfusion CT images could be created in 81 (89%) of 91 examinations, and 74 images (81%) were scored as 1 or 2. Portal perfusion CT images could be created in 60 (68%) of 88 examinations, in which a portal trunk was included in the section, and 33 of them (38%) were scored as 1 or 2. Patient motion during dynamic CT sequences resulted in poor image quality in seven arterial and 27 portal perfusion images. CONCLUSION: Perfusion CT can combine quantitative perfusion maps with good anatomic detail in one image, although patient movement frequently degrades image quality in portal perfusion CT.
RATIONALE AND OBJECTIVES: The authors developed software for creating quantitative maps of arterial and portal perfusion in the upper abdominal organs on personal computers. The image quality of these perfusion computed tomographic (CT) images was visually evaluated. MATERIALS AND METHODS: In 58 patients (38 men, 20 women; mean age, 63.9 years +/- 11.9; range, 22-85 years) with various diseases of the upper abdomen, 91 single-section dynamic CT studies were obtained. The data were transferred on-line to a personal computer, and quantitative maps of arterial and portal perfusion were created by means of the maximum-slope method. Perfusion CT images were reviewed by a radiologist and a radiation technologist, and image quality was rated according to a four-category scoring system (1 = good quality, 2 = moderate, 3 = poor, 4 = images could not be created). RESULTS: Arterial perfusion CT images could be created in 81 (89%) of 91 examinations, and 74 images (81%) were scored as 1 or 2. Portal perfusion CT images could be created in 60 (68%) of 88 examinations, in which a portal trunk was included in the section, and 33 of them (38%) were scored as 1 or 2. Patient motion during dynamic CT sequences resulted in poor image quality in seven arterial and 27 portal perfusion images. CONCLUSION: Perfusion CT can combine quantitative perfusion maps with good anatomic detail in one image, although patient movement frequently degrades image quality in portal perfusion CT.
Authors: Joline S W Lind; Martijn R Meijerink; Anne-Marie C Dingemans; Cornelis van Kuijk; Michel C Ollers; Dirk de Ruysscher; Pieter E Postmus; Egbert F Smit Journal: Eur Radiol Date: 2010-07-13 Impact factor: 5.315
Authors: Martijn R Meijerink; Hester van Cruijsen; Klaas Hoekman; Matthijs Kater; Cors van Schaik; Jan Hein T M van Waesberghe; Giuseppe Giaccone; Radu A Manoliu Journal: Eur Radiol Date: 2006-10-27 Impact factor: 5.315
Authors: Laurent Dercle; Lin Lu; Lawrence H Schwartz; Min Qian; Sabine Tejpar; Peter Eggleton; Binsheng Zhao; Hubert Piessevaux Journal: J Natl Cancer Inst Date: 2020-09-01 Impact factor: 13.506
Authors: Martijn R Meijerink; Jan Hein T M van Waesberghe; Lineke van der Weide; Petrousjka van den Tol; Sybren Meijer; Cornelis van Kuijk Journal: Eur Radiol Date: 2008-05-20 Impact factor: 5.315