Feasibility of quantitative lung perfusion by 4D CT imaging by a new dynamic-scanning protocol in an animal model

The purpose of this study is to test a new dynamic Perfusion-CT imaging protocol in an animal model and investigate the feasibility of quantifying perfusion of lung parenchyma to perform functional analysis from 4D CT image data. A novel perfusion-CT protocol was designed with 25 scanning time points: the first at baseline and 24 scans after a bolus injection of contrast material. Post-contrast CT scanning images were acquired with a high sampling rate before the first blood recirculation and then a relatively low sampling rate until 10 minutes after administrating contrast agent. Lower radiation techniques were used to keep the radiation dose to an acceptable level. 2 Yorkshire swine with pulmonary emboli underwent this perfusion- CT protocol at suspended end inspiration. The software tools were designed to measure the quantitative perfusion parameters (perfusion, permeability, relative blood volume, blood flow, wash-in & wash-out enhancement) of voxel or interesting area of lung. The perfusion values were calculated for further lung functional analysis and presented visually as contrast enhancement maps for the volume being examined. The results show increased CT temporal sampling rate provides the feasibility of quantifying lung function and evaluating the pulmonary emboli. Differences between areas with known perfusion defects and those without perfusion defects were observed. In conclusion, the techniques to calculate the lung perfusion on animal model have potential application in human lung functional analysis such as evaluation of functional effects of pulmonary embolism. With further study, these techniques might be applicable in human lung parenchyma characterization and possibly for lung nodule characterization.

[1]  Edwin J R van Beek,et al.  Functional imaging: CT and MRI. , 2008, Clinics in chest medicine.

[2]  Yang Wang,et al.  Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features , 2007, SPIE Medical Imaging.

[3]  Yang Wang,et al.  Differentiating solitary pulmonary nodules (SPNs) with 3D shape features , 2007, SPIE Medical Imaging.

[4]  Katherine W Ferrara,et al.  Quantitative Evaluation of Perfusion and Permeability of Peripheral Tumors Using Contrast-Enhanced Computed Tomography , 2004, Investigative radiology.

[5]  Fabian Kiessling,et al.  Perfusion CT in patients with advanced bronchial carcinomas: a novel chance for characterization and treatment monitoring? , 2004, European Radiology.

[6]  K. Miles Functional CT imaging in oncology , 2003, European Radiology.

[7]  T-Y Lee,et al.  CT imaging of angiogenesis. , 2003, The quarterly journal of nuclear medicine : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology.

[8]  K. Miles,et al.  Perfusion CT: a worthwhile enhancement? , 2003, The British journal of radiology.

[9]  S. Swensen,et al.  Lung cancer screening with CT: Mayo Clinic experience. , 2003, Radiology.

[10]  Masahiko Kusumoto,et al.  Contrast‐enhanced dynamic computed tomography for the evaluation of tumor angiogenesis in patients with lung carcinoma , 2002, Cancer.

[11]  K. Miles,et al.  Standardized perfusion value: universal CT contrast enhancement scale that correlates with FDG PET in lung nodules. , 2001, Radiology.

[12]  P. Price,et al.  Functional CT Imaging of the Acute Hyperemic Response to Radiation Therapy of the Prostate Gland: Early Experience , 2001, Journal of computer assisted tomography.

[13]  E. Fishman,et al.  Application of CT in the investigation of angiogenesis in oncology. , 2000, Academic radiology.

[14]  S J Swensen,et al.  Functional CT: lung nodule evaluation. , 2000, Radiographics : a review publication of the Radiological Society of North America, Inc.

[15]  M Kono,et al.  Solitary pulmonary nodules: evaluation of blood flow patterns with dynamic CT. , 1997, Radiology.

[16]  L. Tanoue CT Screening for Lung Cancer: Five-year Prospective Experience , 2007 .

[17]  S. Bisdas,et al.  Functional Imaging: Dynamic Contrast-Enhanced CT using a Distributed-Parameter Physiologic Model for Accessing Stroke and Intracranial Tumor , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[18]  K. Miles,et al.  Perfusion CT for the assessment of tumour vascularity: which protocol? , 2003, The British journal of radiology.

[19]  K. Miles Ideal contrast medium bolus for perfusion measurement in dynamic lung CT. , 1998, Radiology.