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Seth R, Gupta P, Debi U, Prasad KK, Singh H, Sharma V. Perfusion Computed Tomography May Help in Discriminating Gastrointestinal Tuberculosis and Crohn’s Disease. Diagnostics (Basel) 2023; 13:diagnostics13071255. [PMID: 37046473 PMCID: PMC10093202 DOI: 10.3390/diagnostics13071255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/21/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
Gastrointestinal tuberculosis (GITB) and Crohn’s disease (CD) are close mimics. This prospective study aimed to evaluate the diagnostic performance of perfusion computed tomography (CT) in differentiating GITB from CD. Consecutive patients with ileocaecal thickening underwent perfusion CT of the ileocaecal region between January 2019 and July 2020. Two radiologists (blinded to the final diagnosis) independently assessed blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability at perfusion CT. These parameters were compared among the patients with GITB as well as active and inactive CD. Receiver operating characteristic curves were utilized for determining the diagnostic performance of perfusion CT. Interclass correlation coefficient and Bland–Altman analysis were performed to compare the observations of the two radiologists. During the study period, 34 patients underwent perfusion CT. Eight patients had diagnoses other than intestinal tuberculosis or CD. Thus, 26 patients (mean age 36 ± 14 years, 18 males) with GITB (n = 11), active CD (n = 6), and inactive CD (n = 9) were evaluated. BF, MTT, and permeability showed significant differences among the groups, while BV did not differ significantly among the groups. BF and permeability had 100% sensitivity and 100% specificity, while MTT had 61.5–100% sensitivity and 70–100% specificity for differentiating GITB from active CD and active from inactive CD. The interclass correlation coefficient for perfusion CT parameters was 0.88–1. Perfusion CT is a novel imaging technique that can improve the diagnostic performance of differentiating tuberculosis from CD.
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Affiliation(s)
- Raghav Seth
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India; (R.S.); (P.G.)
| | - Pankaj Gupta
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India; (R.S.); (P.G.)
| | - Uma Debi
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India; (R.S.); (P.G.)
- Correspondence: ; Tel.: +91-94-1752-6614
| | - Kaushal Kishore Prasad
- Department of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India; (K.K.P.); (V.S.)
| | - Harjeet Singh
- Department of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India;
| | - Vishal Sharma
- Department of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India; (K.K.P.); (V.S.)
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Computed Tomography Perfusion Imaging Detection of Microcirculatory Dysfunction in Small Intestinal Ischemia-Reperfusion Injury in a Porcine Model. PLoS One 2016; 11:e0160102. [PMID: 27458696 PMCID: PMC4961382 DOI: 10.1371/journal.pone.0160102] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 07/13/2016] [Indexed: 01/19/2023] Open
Abstract
Objective To evaluate multi-slice computed tomography (CT) perfusion imaging (CTPI) for identifying microcirculatory dysfunction in small intestinal ischemia−reperfusion (IR) injury in a porcine model. Materials and Methods Fifty-two pigs were randomly divided into 4 groups: (1) the IR group (n = 24), where intestinal ischemia was induced by separating and clamping the superior mesenteric artery (SMA) for 2 h, followed by reperfusion for 1, 2, 3, and 4 h (IR-1h, IR-2h, IR-3h, and IR-4h; n = 6, respectively); (2) the sham-operated (SO) group (n = 20), where the SMA was separated without clamping and controlled at postoperative 3, 4, 5, and 6 h (SO-3h, SO-4h, SO-5h, and SO-6h; n = 5, respectively); (3) the ischemia group (n = 4), where the SMA was separated and clamped for 2 h, without reperfusion, and (4) baseline group (n = 4), an additional group that was not manipulated. Small intestinal CTPI was performed at corresponding time points and perfusion parameters were obtained. The distal ileum was resected to measure the concentrations of malondialdehyde (MDA) and superoxide dismutase (SOD) and for histopathological examination. Results The perfusion parameters of the IR groups showed significant differences compared with the corresponding SO groups and the baseline group (before ischemia). The blood flow (BF), blood volume (BV), and permeability surface (PS) among the 4 IR groups were significantly different. BF and BV were significantly negatively correlated with MDA, and significantly positively correlated with SOD in the IR groups. Histopathologically, the effects of the 2-h ischemic loops were not significantly exacerbated by reperfusion. Conclusion CTPI can be a valuable tool for detecting microcirculatory dysfunction and for dynamic monitoring of small intestinal IR injury.
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Yang SN, Li FJ, Chen JM, Zhang G, Liao YH, Huang TC. Kinetic Curve Type Assessment for Classification of Breast Lesions Using Dynamic Contrast-Enhanced MR Imaging. PLoS One 2016; 11:e0152827. [PMID: 27055113 PMCID: PMC4824432 DOI: 10.1371/journal.pone.0152827] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Accepted: 03/03/2016] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE The aim of this study was to employ a kinetic model with dynamic contrast enhancement-magnetic resonance imaging to develop an approach that can efficiently distinguish malignant from benign lesions. MATERIALS AND METHODS A total of 43 patients with 46 lesions who underwent breast dynamic contrast enhancement-magnetic resonance imaging were included in this retrospective study. The distribution of malignant to benign lesions was 31/15 based on histological results. This study integrated a single-compartment kinetic model and dynamic contrast enhancement-magnetic resonance imaging to generate a kinetic modeling curve for improving the accuracy of diagnosis of breast lesions. Kinetic modeling curves of all different lesions were analyzed by three experienced radiologists and classified into one of three given types. Receiver operating characteristic and Kappa statistics were used for the qualitative method. The findings of the three radiologists based on the time-signal intensity curve and the kinetic curve were compared. RESULTS An average sensitivity of 82%, a specificity of 65%, an area under the receiver operating characteristic curve of 0.76, and a positive predictive value of 82% and negative predictive value of 63% was shown with the kinetic model (p = 0.017, 0.052, 0.068), as compared to an average sensitivity of 80%, a specificity of 55%, an area under the receiver operating characteristic of 0.69, and a positive predictive value of 79% and negative predictive value of 57% with the time-signal intensity curve method (p = 0.003, 0.004, 0.008). The diagnostic consistency of the three radiologists was shown by the κ-value, 0.857 (p<0.001) with the method based on the time-signal intensity curve and 0.826 (p<0.001) with the method of the kinetic model. CONCLUSIONS According to the statistic results based on the 46 lesions, the kinetic modeling curve method showed higher sensitivity, specificity, positive and negative predictive values as compared with the time-signal intensity curve method in lesion classification.
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Affiliation(s)
- Shih-Neng Yang
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung City, Taiwan
- Department of Radiation Oncology, China Medical University Hospital, Taichung City, Taiwan
| | - Fang-Jing Li
- Department of Radiation Oncology, Tri-Service General Hospital, Taipei City, Taiwan
| | - Jun-Ming Chen
- Department of Radiology, China Medical University Hospital, Taichung City, Taiwan
| | - Geoffrey Zhang
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Yen-Hsiu Liao
- Department of Radiation Oncology, Tri-Service General Hospital, Taipei City, Taiwan
| | - Tzung-Chi Huang
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung City, Taiwan
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung City, Taiwan
- * E-mail:
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Koyasu S, Tsuji Y, Harada H, Nakamoto Y, Nobashi T, Kimura H, Sano K, Koizumi K, Hamaji M, Togashi K. Evaluation of Tumor-associated Stroma and Its Relationship with Tumor Hypoxia Using Dynamic Contrast-enhanced CT and (18)F Misonidazole PET in Murine Tumor Models. Radiology 2015; 278:734-41. [PMID: 26393963 DOI: 10.1148/radiol.2015150416] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
PURPOSE To determine the relationship between the fractional interstitial volume (Fis), as calculated at dynamic contrast material-enhanced (DCE) computed tomography (CT), and tumor-associated stroma and to analyze its spatial relationship with tumor hypoxia in several xenograft tumor models. MATERIALS AND METHODS All animal experiments were approved by the animal research committee. Mice with three different xenograft tumors (U251, CFPAC-1, and BxPC-3; n = 6, n = 8, and n = 6, respectively) underwent DCE CT then hypoxia imaging with fluorine 18 ((18)F) fluoromisonidazole (FMISO) positron emission tomography (PET) within 24 hours. Immunohistochemical analysis was performed in harvested tumors to detect hypoxia markers and to quantify microvascular and stromal density. Two DCE CT parameters (amount of interstitial space associated with the amount of stroma [Fis] and flow velocity [Fv]) were identified and quantitatively validated by using immunohistochemistry. FMISO uptake within the tumor was also assessed in relation to DCE CT parameters. Imaging and immunohistochemical parameters were assessed by using the Kruskal-Wallis test, Wilcoxon rank-sum test with Bonferroni correction, and Pearson correlation coefficient. RESULTS Almost no α-smooth muscle actin-positive cells were found in the U251 xenograft, while abundant stroma was found in the entire BxPC-3 xenograft and in the periphery of the CFPAC-1 xenograft. Quantitative analysis showed a significant correlation (R = 0.83, P < .0001) between Fis and stromal density. FMISO uptake had a negative correlation with Fis (R = -0.58, P < .0001) and Fv (R = -0.53, P < .0001). CONCLUSION DCE CT can be used to quantify parameters associated with tumor-associated stroma. Tumor hypoxia was Complementarily localized in tumor-associated stroma in these models.
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Affiliation(s)
- Sho Koyasu
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Yoshihisa Tsuji
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Hiroshi Harada
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Yuji Nakamoto
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Tomomi Nobashi
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Hiroyuki Kimura
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Kohei Sano
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Koji Koizumi
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Masatsugu Hamaji
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Kaori Togashi
- From the Departments of Diagnostic Imaging and Nuclear Medicine (S.K., Y.N., T.N., K.S., K.T.), Gastroenterology and Hepatology (Y.T.), and Radiation Oncology and Image-Applied Therapy (H.H.), Graduate School of Medicine, Division of Molecular Imaging, Radioisotope Research Center (H.K), Clinical Radiology Service, Kyoto University Hospital (K.K.); and Department of Bioartificial Organs, Institute for Frontier Medical Science (M.H.), Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
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Saber AA, Azar N, Dekal M, Abdelbaki TN. Computed tomographic scan mapping of gastric wall perfusion and clinical implications. Am J Surg 2014; 209:999-1006. [PMID: 25442512 DOI: 10.1016/j.amjsurg.2014.05.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2013] [Revised: 04/26/2014] [Accepted: 05/03/2014] [Indexed: 01/07/2023]
Abstract
BACKGROUND Several postoperative gastrointestinal complications are attributed to ischemia. We herein evaluate the gastric wall perfusion using computed tomography (CT) scan perfusion index on trial to address the etiology of ischemic complication after sleeve gastrectomy. METHODS A retrospective study of 205 patients undergoing CT scan of the abdomen to evaluate the pattern of gastric vascular perfusion was performed. The perfusion index of the gastric mucosa was measured at 5 gastric points using CT perfusion scanning. RESULTS Gastric perfusion at the angle of His (AOH) (53.51 ± 14.38) was statistically significantly lower (P < .001) than that at the other gastric points studied: fundus, greater curvature, lesser curvature, incisura angularis, and mid gastric points (76.16 ± 15.21, 73.27 ± 16.55, 76.12 ± 16.12, and 75.24 ± 14.9, respectively). Gastric perfusion was significantly lower at all the gastric points (and especially so at the AOH) among obese patients (33 cases) compared with nonobese patients (18 cases). Gastric perfusion at all the points studied showed a decrease as the body mass index increases. Hypertensive patients had a better gastric perfusion compared with nonhypertensive patients. CONCLUSIONS Gastric wall perfusion is statistically significantly decreased at the AOH and gastric fundus compared with perfusion at other gastric points. Gastric perfusion at all the gastric points studied decreased with the increase in body mass index. Gastric leakage in obese patients following sleeve gastrectomy could be attributed to a decrease in the blood supply at AOH.
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Affiliation(s)
- Alan A Saber
- Department of Surgery, University Hospitals Case Medical Center, Case Western Reserve School of Medicine, Cleveland, OH, USA.
| | - Nami Azar
- Department of Radiology, University Hospitals Case Medical Center, Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Mahmoud Dekal
- Department of Radiology, The Brooklyn Hospital Center, Weill Cornel Medical College, New York, NY, USA
| | - Tamer N Abdelbaki
- Department of Surgery, University Hospitals Case Medical Center, Case Western Reserve School of Medicine, Cleveland, OH, USA
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Perfusion CT assessment of the colon and rectum: feasibility of quantification of bowel wall perfusion and vascularization. Eur J Radiol 2011; 81:821-4. [PMID: 21392915 DOI: 10.1016/j.ejrad.2011.02.033] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2010] [Revised: 02/05/2011] [Accepted: 02/07/2011] [Indexed: 11/23/2022]
Abstract
The aim was to determine the feasibility of vascular quantification of the bowel wall for different anatomical segments of the colorectum. Following institutional ethical approval and informed consent, 39 patients with colorectal cancer underwent perfusion CT. Blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability surface area product (PS) were assessed for different segments of the colorectum: ascending, transverse, descending colon, sigmoid, or rectum, that were distant from the tumor, and which were proven normal on contemporary colonoscopy, and subsequent imaging and clinical follow up. Mean (SD) for BF, BV, MTT and PS for the different anatomical colorectal segments were obtained and compared using a pooled t-test. Significance was at 5%. Assessment was not possible in 9 of 39 (23%) patients as the bowel wall was ≤ 5 mm precluding quantitative analysis. Forty-four segments were evaluated in the remaining 30 patients. Mean BF was higher in the proximal than distal colon: 24.0 versus 17.8 mL/min/100g tissue; p=0.009; BV, MTT and PS were not significantly different; BV: 3.46 versus 3.15 mL/100g tissue, p=0.45; MTT: 15.1 versus 18.3s; p=0.10; PS: 6.84 versus 8.97 mL/min/100 tissue, p=0.13, respectively. In conclusion, assessment of bowel wall perfusion may fail in 23% of patients. The colorectum demonstrates segmental differences in perfusion.
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Schindera ST, Nelson RC, DeLong DM, Jaffe TA, Merkle EM, Paulson EK, Thomas J. Multi-detector row CT of the small bowel: peak enhancement temporal window--initial experience. Radiology 2007; 243:438-44. [PMID: 17384239 DOI: 10.1148/radiol.2432060534] [Citation(s) in RCA: 79] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE To prospectively determine quantitatively and qualitatively the timing of maximal enhancement of the normal small-bowel wall by using contrast material-enhanced multi-detector row computed tomography (CT). MATERIALS AND METHODS This HIPAA-compliant study was approved by the institutional review board. After information on radiation risk was given, written informed consent was obtained from 25 participants with no history of small-bowel disease (mean age, 58 years; 19 men) who had undergone single-level dynamic CT. Thirty seconds after the intravenous administration of contrast material, a serial dynamic acquisition, consisting of 10 images obtained 5 seconds apart, was performed. Enhancement measurements were obtained over time from the small-bowel wall and the aorta. Three independent readers qualitatively assessed small-bowel conspicuity. Quantitative and qualitative data were analyzed during the arterial phase, the enteric phase (which represented peak small-bowel mural enhancement), and the venous phase. Statistical analysis included paired Student t test and Wilcoxon signed rank test with Bonferroni correction. A P value less than .05 was used to indicate a significant difference. RESULTS The mean time to peak enhancement of the small-bowel wall was 49.3 seconds +/- 7.7 (standard deviation) and 13.5 seconds +/- 7.6 after peak aortic enhancement. Enhancement values were highest during the enteric phase (P < .05). Regarding small-bowel conspicuity, images obtained during the enteric phase were most preferred qualitatively; there was a significant difference between the enteric and arterial phases (P < .001) but not between the enteric and venous phases (P = .18). CONCLUSION At multi-detector row CT, peak mural enhancement of the normal small bowel occurs on average about 50 seconds after intravenous administration of contrast material or 14 seconds after peak aortic enhancement.
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Affiliation(s)
- Sebastian T Schindera
- Department of Radiology, Duke University Medical Center, Box 3808, Erwin Rd, Durham, NC 27710, USA
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