1,721,182 research outputs found
Value of automatic liver parenchyma enhancement tracking for liver MDCT in oncology patients.
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Reflection on the past and looking into the future-a celebration of 10 years of BJR|Case Reports
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Clinical impact with cost analysis of contrast-enhanced ultrasound: the Verona group experience
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Moderation (SS 901 - Cross-sectional pancreatic imaging and biomarkers)
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Hepatobiliary and Pancreatic Cancer
No full textThis book describes the pathways of dissemination of primary liver, biliary, and pancreatic neoplasms and proposes a practical and clinically driven approach to their imaging. The typical dissemination pathways for hepatocellular carcinoma, cholangiocarcinoma, exocrine pancreatic carcinoma, and neuroendocrine pancreatic tumors are systematically reviewed, and more unusual pathways are also documented. The content is presented in an extremely schematic way, with numerous high-quality graphical illustrations and multimodality images (US, CT, MRI, and PET) that are accompanied by clear explanatory text. The clinical significance of findings and potential therapeutic options are explained whenever appropriate. In addition, relevant background information is provided on the role of morphopathological drivers of cancer spread and anatomy
3D Respiratory Triggered MRCP versus conventional MRCP in the evaluation of branch duct intraductal mucinous papillary tumors
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Low-voltage CT of the abdomen: to identify cutoff patient diameters for patient selection through the analysis of correlation between patient diameters and subjective image quality
No full textPurpose: To correlate patient diameters and subjective image quality in
low-voltage and standard-voltage CT of the upper abdomen in the same
patient population, with the goal of identifying cutoff patient diameters for
selecting patients for low-voltage scans.
Methods and Materials: 32 patients underwent MDCT of the abdomen with
arterial phase at 80 kV with angular dose modulation on 64-row MDCT (test
group). This was compared to a previous 120-kV scan on the same scanner.
Mean interval between scans was 139 days. Patient transverse and sagittal
diameters were measured at celiac axis level, and the mean was calculated.
Two radiologists by consensus graded image quality on a 5-point scale
(5=excellent; 4=good; 3=moderate; 2=poor; 1=non-diagnostic; 3 was the
chosen cutoff quality). Image quality was correlated to the transverse,
sagittal and mean diameter by means of an ANOVA test.
Results: Patient diameters were unchanged across exams (all p=ns). In
80-kV scans, image quality was significantly correlated to sagittal (p=0.034)
and mean diameters (p=0.025), while a trend to significance was observed
for transverse diameter (p=0.053). In 120-kV scans, image quality was
not significantly correlated to patient diameters (all p=ns), and all patients
received grade 4 or 5. In 80-kV scans, a subjective grade 3 corresponded
to a transverse diameter of 329 mm and a sagittal diameter of 267 mm.
Conclusion: Subjective image quality in low-voltage scans appears to be
more influenced by patient size than at standard voltage scans. For our
protocol, cutoff diameters for adequate image quality are transverse 329
mm and sagittal 267 m
Dynamic MDCT of the pancreas: Is time-density curve morphology useful for the differential diagnosis of solid lesions? A preliminary report
No full textPURPOSE:CT perfusion has been proposed for pancreatic lesion characterization. However, scan and analysis protocols influence numerical data. To overcome this, the purpose of our study is to evaluate the use of time-density curves obtained from MDCT perfusion of the pancreas for the characterization of normal parenchyma, adenocarcinoma, chronic pancreatitis and endocrine tumors.METHODS:31 patients with solid pancreatic lesions and 21 patients with renal cell carcinoma underwent 64-row MDCT perfusion of the pancreas after injection of 50cc of a 370mg I/ml solution at 5cc/s. 63 time-density curves were obtained from normal parenchyma (21 patients), adenocarcinoma (25), endocrine tumors (4) and atrophic parenchyma (13). Two readers independently categorized the 63 time-density curves into 4 different morphologies: normal wash-in and wash-out (A), low wash-in followed by plateau (B), low wash-in followed by faint wash-out (C) and high wash-in and wash-out (D). Interobserver agreement was calculated with kappa statistics. Fisher test was used to calculate sensitivity, specificity, positive (PPV) and negative (NPV) predictive values for each type of curve.RESULTS:Interobserver agreement was very good (Kappa=0.849). Curve A had 94.4% sensitivity, 91.1% specificity, 80.95% PPV, 97.6% NPV for 'normal parenchyma'. Curve B had 74.19% sensitivity, 93.75% specificity, 92% PPV, 78.95% NPV in diagnosing 'adenocarcinoma'. Curve C had 45.45% sensitivity, 84.62% specificity, 38.46% PPV, 88% NPV for 'chronic pancreatitis'. Curve D had 100% sensitivity, 98.33% specificity, 75% PPV, 100% NPV for 'endocrine tumor'.CONCLUSIONS:The morphology of MDCT perfusion time-density curves appears to be useful in characterizing pancreatic lesions, and might help overcome the differences in scan and postprocessing techniques
Dose Reduction Protocol for Preoperative Evaluation of Renal Donors Using Split-Bolus MDCT Angiography and Single Combined Vascular-Excretory Phase Scanning
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