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Chinese Journal of Gastrointestinal Surgery ; (12): 48-51, 2013.
Artigo em Chinês | WPRIM | ID: wpr-314860

RESUMO

<p><b>OBJECTIVE</b>To explore the value of multidetector CT on aiding intraoperative judgement of serosal invasion of gastric cancer.</p><p><b>METHODS</b>Clinical data of 206 cases of gastric cancer undergoing radical surgery in the First Hosptial of China Medical University from August 2009 to June 2011 were analyzed retrospectively. Preoperative CT findings and intraoperative judgement of serosal invasion in gastric cancer were compared with pathological results in order to investigate their values.</p><p><b>RESULTS</b>The sensitivity and specificity of preoperative CT findings and intraoperative judgement of serosal invasion were 88.5%, 81.5% and 98.9%, 61.3%, respectively. The accuracy of preoperative CT in diagnosing serosal invasion was higher than that of intraoperative judgement, while the difference was not statistically significant (84.5% vs. 77.2%, P=0.060). The rates of serosal invasion of normal type, reactive type, nodular type, tendonoid type and color-diffused type were 0 (0/29), 2.5% (1/40), 40.5% (15/37), 59.2% (29/49), and 82.4% (42/51) respectively. The accuracy of preoperative CT in diagnosing serosal invasion of gastric cancer with tendonoid type was higher than that of intraoperative judgement, and the difference was statistically significant (61.2% vs. 87.8%, P=0.002).</p><p><b>CONCLUSIONS</b>Multidetector CT plays an important role in aiding intraoperation judgement of serosal invasion of gastric cancer. For gastric cancer with tendonoid and color-diffused macroscopic serosal appearance, surgeons should pay attention to the value of preoperative CT findings.</p>


Assuntos
Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Cuidados Intraoperatórios , Invasividade Neoplásica , Diagnóstico por Imagem , Estudos Retrospectivos , Sensibilidade e Especificidade , Membrana Serosa , Diagnóstico por Imagem , Patologia , Neoplasias Gástricas , Diagnóstico por Imagem , Patologia , Tomografia Computadorizada Espiral , Métodos
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