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World J Gastroenterol ; 12(18): 2945-8, 2006 May 14.
Artigo em Inglês | MEDLINE | ID: mdl-16718825

RESUMO

AIM: To discuss the clinical value of CT three-dimensional (3-D) imaging in diagnosing gastrointestinal tract diseases. METHODS: Three-D imaging findings of 52 patients were retrospectively analyzed. Three-D imaging methods included shaded surface display (SSD), volume rendering (VR), virtual endoscopy (VE) and multiplanar reformatting (MPR). The diagnosis results of CT 3-D were evaluated by comparison with those of endoscopy and/or surgical finding. RESULTS: Fifty-two patients with gastrointestinal tract diseases were diagnosed by CT 3-D imaging, of whom 50 cases were correctly diagnosed and 2 were misdiagnosed. There were 33 cases of gastric diseases (27 with carcinoma, 5 with peptic ulcer and 1 with leiomyoma) and 19 large intestinal diseases (10 with colon carcinoma, 2 with carcinoma of the rectum, 5 with colon polypus and 2 with tuberculosis of the ileocecal junction). Twenty-two cases with prominent lesions (9 with subsequent hollow lesions), 20 with stenosis of cavity (8 with concomitant prominent lesions) and 10 with hollow lesions (5 with concomitant prominent lesions) were shown in 3-D images. The minimal lesion shown was 1.0 cm x 0.8 cm x 0.5 cm. CONCLUSION: CT 3-D imaging, a non-invasive examination without pain, can display clearly and directly the lesions of gastrointestinal tract with accurate location and high diagnosis accuracy. It is an important complementary technique to endoscopy.


Assuntos
Gastroenteropatias/diagnóstico , Trato Gastrointestinal/diagnóstico por imagem , Trato Gastrointestinal/patologia , Imageamento Tridimensional/métodos , Tomografia Computadorizada por Raios X/métodos , Adulto , Idoso , Idoso de 80 Anos ou mais , Diagnóstico Diferencial , Feminino , Gastroenteropatias/patologia , Humanos , Masculino , Pessoa de Meia-Idade , Úlcera Péptica/diagnóstico por imagem , Úlcera Péptica/patologia , Neoplasias Gástricas/diagnóstico , Neoplasias Gástricas/patologia , Tuberculose/diagnóstico por imagem , Tuberculose/patologia
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