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Purpose: To develop a new automated filtering technique and to evaluate its ability to compensate for the known low contrast-to-noise ratio (CNR) in dynamic contrast material-enhanced (DCE) magnetic resonance (MR) and computed tomographic (CT) data, without substantial loss of information., Materials and Methods: Clinical data acquisition for this study was approved by the institutional review board. Principal component analysis (PCA) was combined with the fraction of residual information (FRI) criterion to optimize the balance between noise reduction efficiency and information conservation. The PCA FRI filter was evaluated in 15 DCE MR imaging data sets and 15 DCE CT data sets by two radiologists who performed visual analysis and quantitative assessment of noise reduction after filtering., Results: Visual evaluation revealed a substantial noise reduction while conserving information in 90% of MR imaging cases and 87% of CT cases for image analysis and in 93% of MR imaging cases and 90% of CT cases for signal analysis. Efficient denoising enabled improvement in structure characterization in 60% of MR imaging cases and 77% of CT cases. After filtering, CNR was improved by 2.06 ± 0.89 for MR imaging (P < .01) and by 5.72 ± 4.82 for CT (P < .01)., Conclusion: This PCA FRI filter demonstrates noise reduction efficiency and information conservation for both DCE MR data and DCE CT data. FRI analysis enabled automated optimization of the parameters for the PCA filter and provided an optional visual control of residual information losses. The robust and fast PCA FRI filter may improve qualitative or quantitative analysis of DCE imaging in a clinical context., Supplemental Material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100231/-/DC1., (© RSNA, 2010)

Purpose: To determine whether tumor perfusion parameters assessed by using dynamic contrast material-enhanced computed tomography (CT) could help predict and detect response in patients receiving antiangiogenic therapy for metastatic renal cell carcinoma., Materials and Methods: Institutional ethics committee approval and informed consent were obtained. In two phase-III trials involving 51 patients with metastatic renal cell carcinoma (38 men, 13 women; age range, 30-80 years) receiving antiangiogenic drugs (sorafenib [n = 10], sunitinib [n = 22]), a placebo (n = 12), or interferon alfa (n = 7), serial dynamic contrast-enhanced CT was performed, during 90 seconds before and after injection of 80 mL of iobitridol. Perfusion parameters of a target metastatic tumor (tumor blood flow [TBF], tumor blood volume [TBV], mean transit time, and vascular permeability-surface area product) were calculated. Values before and after treatment were compared by using a Wilcoxon signed rank test, and relative changes in groups were compared by using the Wilcoxon rank sum test. Results were compared with Response Evaluation Criteria in Solid Tumors response and with progression-free and overall survival by using Kaplan-Meier curves., Results: Among patients receiving antiangiogenic drugs, baseline perfusion parameters were higher in responders than in stable patients (TBF = 245.3 vs 119.5 mL/min/100 mL, P = .04; TBV = 15.5 vs 8.2 mL/100 mL, P = .02) but were not significantly predictive of survival. After the first cycle of treatment, there was a significant decrease in TBF (162.5 vs 76.7 mL/min/100 mL, P = .0002) and TBV (9.1 vs 3.9 mL/100 mL, P < .0001) in patients receiving antiangiogenic treatment., Conclusion: Renal carcinoma perfusion parameters determined with dynamic contrast-enhanced CT can help predict biologic response to antiangiogenic drugs before beginning therapy and help detect an effect after a single cycle of treatment.

Objective: The objective of this study was to evaluate computed tomography (CT) enhancement characteristics for a new iodinated macromolecular contrast medium (MMCM), PEG12000-Gen4-triiodo, for angiographic effect and for assessment of abnormal vascular permeability in cancer., Materials and Methods: Time persistence of angiographic effect was evaluated on rat CT images acquired over 30 minutes using the iodinated polyethyleneglycol- (PEG) based macromolecule. Dynamic CT imaging after PEG12000-Gen4-triiodo-enhancement in tumor-bearing rats was used to quantitatively estimate plasma volume and microvascular transendothelial permeability for both tumor and normal soft tissue. Using identical doses of iodine, 300 mg iodine/kg, blood curves for this MMCM and iohexol were compared., Results: Serial whole-body CT angiograms using PEG12000-Gen4-triiodo showed diagnostic vascular detail through 20 minutes, and the blood enhancement curve was higher and more persistent than with small-molecular iohexol. Permeability estimates were significantly (P<0.02; paired t test) higher in tumors (48.2+/-18.1 microL/min-1 100 mL) than in muscle (2.5+/-5.7 microL/min-1 100 mL)., Conclusions: Use of PEG-based MMCM for experimental CT allowed for a persistent angiographic enhancement and for quantitative estimation of tumor microvascular characteristics.

Macromolecular contrast-enhanced functional CT was performed to characterize early perfusion changes in hepatocellular carcinoma (HCC). Fourteen rats with chemically induced primary liver tumors ranging pathologically from hyperplasia to HCC and 15 control rats were investigated. Two dynamic CT scans using an experimental macromolecular contrast agent were performed on a single slice 11 and 18 weeks after tumor induction followed by pathological examination. A deconvolution mathematical model was applied, yielding the hepatic perfusion index (HPI), mean transit time (MTT), liver distribution volume (LDV) and arterial, portal and total blood flows (FA, FP, FT). Analysis was performed on one slice per rat, containing overall two hyperplasia, six dysplasia and 15 HCC. On the first scans, HCC at an early pathological stage had a low FP (-30%, P=0.002) but a normal arterial-portal balance. On the scan contemporary to pathology, HCC perfusion parameters showed an inversion of the arterial-portal balance (HPI +212%, P<0.0001), with a high FA (+56%, P=0.002) and a low FP (-69%, P<0.0001). Sensitivity and specificity of detection of HCC by perfusion CT were high (87 and 80%) on late scans; but also on the earlier scans (86 and 65%), even though only one (7%) was visible to the eye. Perfusion-CT allowed early detection of HCC. This technique could contribute in the detection and characterization of liver lesions in clinical studies.

Objective: We assessed the capacity of chest radiography and CT to determine the cause and site of bleeding in patients with either large or massive hemoptysis compared with bronchoscopy., Materials and Methods: We reviewed the chest radiographs, CT scans, and bronchoscopic findings in 80 patients with either large or massive hemoptysis who were admitted to our intensive care unit between January 1995 and June 1999., Results: Findings on chest radiography were normal in only 13% of patients, of whom 70% had bronchiectasis. The chest radiographs revealed the site of bleeding in 46% of the patients and the cause in 35%, most of whom had tuberculosis or tumors. CT was more efficient than bronchoscopy for identifying the cause of bleeding (77% vs 8%, respectively; p < 0.001), whereas the two methods were comparable for identifying the site of bleeding (70% vs 73%, respectively; p = not significant)., Conclusion: These data suggest that CT could replace bronchoscopy as the first-line procedure for screening patients with large and those with massive hemoptysis. However, these results must be confirmed in a prospective multicenter study.