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  • 1
    Keywords: CANCER ; tumor ; carcinoma ; CELL ; Germany ; CT ; imaging ; DISEASE ; DIFFERENTIATION ; TISSUE ; computed tomography ; SURGERY ; PATIENT ; primary ; MRI ; MAGNETIC-RESONANCE ; magnetic resonance imaging ; NO ; DIFFERENCE ; NUMBER ; METASTASIS ; metastases ; REGION ; REGIONS ; DISSEMINATED TUMOR-CELLS ; adenocarcinoma ; COMPUTED-TOMOGRAPHY ; CELL CARCINOMA ; renal cell carcinoma ; pancreas ; ENHANCEMENT ; methods ; multidetector CT ; RENAL-CELL
    Abstract: Aims: To investigate the characteristics of metastasis to the pancreas using computed tomography (CT) and magnetic resonance imaging (MRI). Methods: Twenty-two patients with metastases to the pancreas were examined preoperatively by MRI (7/22) and/or multidetector CT (15/22). Pre- and post-contrast images were acquired and morphology, size, and contrast enhancement of the tumor analyzed. Subsequently, all patients underwent surgery, and the histopathologic findings were compared with the imaging results. Results: In 22 patients, a total of 29 metastases were found on CT and MRI. These metastases originated from renal cell carcinomas (RCC; 22/29), colorectal carcinoma (3/29), and other malignancies (4/29). The metastases differed not in size or location, but in their contrast enhancement characteristics. RCC metastases had either intense homogeneous enhancement (in small lesions) or rim enhancement (in large lesions). Outer regions of colorectal metastases showed no difference from normal pancreatic tissue, whereas the inner area showed hypo-enhancement due to central necrosis. Conclusion: Imaging features of metastases from RCC point to their primary origin. While they can be distinguished from primary adenocarcinoma of the pancreas, differentiation from endocrine carcinoma might be difficult. Differentiation of colorectal carcinoma remains to be investigated on larger numbers of cases. Copyright (C) 2008 S. Karger AG, Basel and IAP
    Type of Publication: Journal article published
    PubMed ID: 18434757
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  • 2
    Keywords: tumor ; Germany ; THERAPY ; ALGORITHM ; imaging ; segmentation ; SYSTEM ; TOOL ; VOLUME ; RESOLUTION ; PATIENT ; kidney ; CONTRAST ; REGION ; arteries ; BEAM ; tomography ; contrast media ; VESSELS ; ARCHITECTURE ; REPRESENTATION ; SOFTWARE TOOL ; radiology ; MATRIX ; THERAPIES ; HIGH-RESOLUTION ; SOFTWARE ; interaction ; antiangiogenic therapy ; RENAL-ARTERIES ; SCAN ; interventional radiology
    Abstract: PURPOSE: New methods of noninvasive high resolution imaging may improve the delineation of tumor microvessels and, thus, be of significant help in surgical planning and cost-effective monitoring of novel anti-angiogenic therapy. We determined the maximum delineation of intrarenal microvessels with a novel flat panel based volume computerized tomography system in an experimental setting. MATERIALS AND METHODS: We prospectively evaluated 13 porcine renal specimens for intrarenal vessel delineation using a prototype gantry based, flat panel, cone beam computerized tomography system. The gantry incorporates an array of a 40 x 30 cm(2) CsI amorphous silicon flat panel detector consisting of a 2,048 x 1,536 matrix. After catheterizing the renal artery with a 5Fr end hole catheter a contrast enhanced scan was performed using BaS as contrast medium at a dilution of 200 mg/ml. The diameter of all definable arterial branches was determined using a software tool based on Medical Imaging and Interaction Toolkit, allowing semi-automatic segmentation of the vessel tree. In step 1 the vessel tree is segmented by a 3-dimensional region growing algorithm. Following its medial axis the vessel tree is extracted and converted to a representation, including the diameter of the vessels. RESULTS: In each kidney an average +/- SD of 47,454 +/- 22,382 arterial branches could be delineated. The diameter of the branches was 0.029 (mean 0.032 +/- 0.0025) to 3.444 mm (mean 1.813 +/- 0.6139) with a median of 0.263 mm. Of visible intrarenal arteries 2.7% had a vessel diameter of 0.029 mm. CONCLUSIONS: Flat panel based volume computerized tomography can visualize intrarenal microvessels down to a diameter of 0.03 mm. It may improve the assessment of renal microvessel architecture in healthy patients and in those with pathological conditions.
    Type of Publication: Journal article published
    PubMed ID: 19846147
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