Pulmonary tumors in children are rare. Nevertheless, there are besides malign primary neoplasms and metastases also some benign tumors that the radiologist should know. The identification of some tumors is difficult, since some of them may mimic pulmonary inflammation. The first diagnostic tool is chest radiography. After that, a CT with contrastmedium should be performed, if possible a multislice-CT (MSCT). Identification of mediastinal structures is best with MRI. (orig.) [German] Tumoren der Lunge sind im Kindesalter selten. Trotzdem finden sich neben den malignen primaeren und sekundaeren Raumforderungen auch im Kindesalter immer wieder benigne Tumoren, die der Radiologe kennen sollte. Eine eindeutige Identifizierung kann schwierig sein, da z. B. entzuendliche Infiltrate vorgetaeuscht werden koennen. Die primaere Untersuchungsmethode ist das konventionelle Thoraxroentgen. Die weitere Diagnostik muss mit der Computertomographie, nach Moeglichkeit mit einem ...
Purpose: `Exoscopic` and endoscopic identification of colorectal pathologies via MRI. Methods: 5 patients (36-88 years), two normal and three with different colorectal pathologies (diverticular disease, polyps and carcinoma of the colon), were examined by MRI after colonoscopy. Subsequent to filling of the colon with a gadolinium-water mixture under MRI-monitoring, 3D-data sets of the colon were acquired in prone and supine positions over a 28 sec breathold interval. Subsequently multiplanar T{sub 1}-weighted 2D-sequences were acquired before and following i.v. administration of Gd-DTPA (0.1 mmol/kg BW). All imaging was performed in the coronal orientation. The 3D-data were interactively analysed based on various displays: Maximum intensity projection (MIP), surface shadowed display (SSD), multiplanar reconstruction (MPR), virtual colonoscopy (VC). Results: All of the colorectal pathologies could be interactively diagnosed by MPR. On MIP images some pathologies were missed. VC ...
Purpose: Liposarcoma is the most common soft tissue sarcoma in adults. The purpose of the study was to correlate MR imaging features with the four ICD subclasses. Methods: 28 patients with liposarcoma were examined preoperatively on a 1.0 T MRI system, using spin echo sequences, gradient echo imaging and STIR sequences. In all patients, classification of the liposarcomas was made by histologic diagnosis (ICD-10-M-classification). Results: Well differentiated liposarcomas (9 patients) showed a number of MRI features consistent with lipoma (well defined mass high signal intensity (SI) on T{sub 1} images, low signal on T{sub 2} images, no or only little signal increase of tumour tissue after contrast material application, no necrosis). Not well differentiated liposarcomas (myxoid 14 patients, pleomorphic three patients, round cell two patients) revealed the largest part of the mass to be of low SI on T{sub 1}-weighted images. Only scattered fatty islands and septa (9 patients with myxoid ...