Small-bowel perfusion measurement: Feasibility with single-compartment kinetic model applied to dynamic contrast-enhanced CT

Radiology

Volumn 237, Issue 2, 2005, Pages 670-674

  Sitek, Arkadiusz ^a   Sheiman, Robert G ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AORTA; ARTICLE; BLOOD FLOW VELOCITY; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; FEMALE; HUMAN; INTESTINE BLOOD FLOW; INTESTINE PERFUSION; INTESTINE WALL; KINETICS; MALE; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROSPECTIVE STUDY; QUANTITATIVE ANALYSIS; SMALL INTESTINE;

BLOOD FLOW VELOCITY; CONTRAST MEDIA; FEASIBILITY STUDIES; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INJECTIONS, INTRAVENOUS; INTESTINE, SMALL; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED; TRIIODOBENZOIC ACIDS;

EID: 27144488667     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiol.2372041403     Document Type: Article

References (16)

1. Axel L. Cerebral blood flow determination by rapid-sequence computed tomography: a theoretical analysis. Radiology 1980;137: 679-686.
2. Nabavi DG, Cenic A, Craen RA, et al. CT assessment of cerebral perfusion: experimental validation and initial clinical experience. Radiology 1999;213:141-149.
3. Nabavi DG, Cenic A, Henderson S, Gelb AW, Lee TY. Perfusion mapping using computed tomography allows accurate prediction of cerebral infarction in experimental brain ischemia. Stroke 2001;32:175-183.
4. Miles KA. Measurement of tissue perfusion by dynamic computed tomography. Br J Radiol 1991;64:409-412.
5. Miles KA, Hayball MP, Dixon AK. Functional images of hepatic perfusion obtained with dynamic CT. Radiology 1993; 188:405-411.
6. Kuhle WG, Sheiman RG. Detection of active colonic hemorrhage with use of helical CT: findings in a swine model. Radiology 2003;228:743-752.
7. Spalinger J, Patriquin H, Miron MC, et al. Doppler US in patients with Crohn disease: vessel density in the diseased bowel reflects disease activity. Radiology 2000; 217:787-791.
8. Ludwig D, Wiener S, Bruning A, Schwarting K, Jantschek G, Stange EF. Mesenteric blood flow is related to disease activity and the risk of relapse in Crohn's disease: a prospective follow-up study. Am J Gastroenterol 1999;94:2942-2950.
9. Clough AV, Haworth ST, Hanger CC, et al. Transit time dispersion in the pulmonary arterial tree. J Appl Physiol 1998;85(2): 565-574.
10. Marquardt D. An algorithm for least-squares estimation of nonlinear parameters. SIAM J Appl Math 1963;11:431-441.
11. Leen E, Goldberg JA, Anderson JR, et al. Hepatic perfusion changes in patients with liver metastases: comparison with those patients with cirrhosis. Gut 1993;34:554-557.
12. Sheiman RG, Raptopoulos V. Delayed intravenous contrast medium washout from the small bowel in patients with pancreatic carcinoma and splanchnic venous invasion. J Comput Assist Tomogr 1996;20: 924-929.
13. Materne R, Van Beers BE, Smith AM, et al. 2000 Non-invasive quantification of liver perfusion with dynamic computed tomography and a dual-input one-compartment model. Clin Sci 2000;99:517-525.
14. Van Beers BE, Leconte I, Materne R, Smith AM, Jamart J, Horsmans Y. Hepatic perfusion parameters in chronic liver disease: dynamic CT measurements correlated with disease severity. AJR Am J Roentgenol 2001;176:667-673.
15. Materne R, Smith AM, Peeters F, et al. Assessment of hepatic perfusion parameters with dynamic MRI. Magn Reson Med 2002;47:135-142.
16. Materne R, Annet L, Dechambre S, et al. Dynamic computed tomography with low- and high-molecular-mass contrast agents to assess microvascular permeability modifications in a model of liver fibrosis. Clin Sci 2002;103:213-216.