Diagnosis of gastric cancer with MDCT using the water-filling method and multiplanar reconstruction: CT-histologic correlation.

OBJECTIVE The purpose of this study was to assess the utility of MDCT with a thin-sliced multiplanar reconstruction (MPR) technique and water-filling method for the diagnosis of gastric cancers. MATERIALS AND METHODS Sixty-five patients with gastric cancers were preoperatively examined with MDCT using the water-filling method. The abdomen was dynamically scanned at 30 and 80 sec after the start of contrast medium administration. MPR images were reconstructed with a slice width of 1.25 mm and a slice interval of 1 mm. The detection rate and accuracy of T staging for gastric cancer were evaluated on MPR images and compared with 5-mm-slice axial images. In addition, MDCT images were correlated with pathologic findings. RESULTS The detection rate of all gastric cancers using the MPR technique was 65%. The detection rate of advanced gastric cancers was 96.2% (25 of 26), whereas that of early gastric cancers was 41.2% (14 of 34). There was a statistically significant difference (p < 0.05) in the detection rate of early gastric cancers between MPR and 5-mm-slice axial images. The MDCT appearances of gastric cancers were well correlated with pathologic findings such as mucinous component or differences in infiltration of cancer cells. The overall accuracy of CT staging was 85%. MPR images were superior to axial images for the evaluation of the z-axis extent of tumor. CONCLUSION MDCT with the water-filling method has advantages in acceptable evaluation of depth invasion of gastric carcinomas and in visualization of histologic changes in the tumors. MPR images may be a useful guide for the evaluation of the z-axis extent of tumor.

[1]  S. Takahashi,et al.  Helical CT imaging of gastric cancer: normal wall appearance and the potential for staging. , 2000, Radiation medicine.

[2]  M. Kaminishi,et al.  Feasibility of pylorus-preserving gastrectomy with a wider scope of lymphadenectomy. , 1998, Archives of surgery.

[3]  E. Nomura,et al.  Prognostic value of tumor cell proliferation and intratumor microvessel density in advanced gastric cancer treated with curative surgery. , 1998, International journal of oncology.

[4]  S. Iwanaga,et al.  Gastric cancer: evaluation of triphasic spiral CT and radiologic-pathologic correlation. , 1998, Journal of computer assisted tomography.

[5]  Mitsuru Sasako,et al.  Determining prognostic factors for gastric cancer using the regression tree method , 2002, Gastric Cancer.

[6]  M. Endo,et al.  Prognostic factors of early gastric cancer —Results of long-term follow-up and analysis of recurrent cases— , 1987, The Japanese journal of surgery.

[7]  Se Hoon Kim,et al.  Mucinous versus nonmucinous gastric carcinoma: differentiation with helical CT. , 2002, Radiology.

[8]  S. Kitano,et al.  Current status of laparoscopic gastrectomy for cancer in Japan , 2004, Surgical Endoscopy And Other Interventional Techniques.

[9]  Manabu Minami,et al.  Trends in oncological CT imaging: clinical application of multidetector-row CT and 3D-CT imaging , 2006, International Journal of Clinical Oncology.

[10]  W. Hyung,et al.  Clinicopathologic characteristics of mucinous gastric adenocarcinoma. , 1999, Yonsei medical journal.

[11]  J. Lim,et al.  Diagnostic Accuracy of Multidetector Row Computed Tomography in T- and N Staging of Gastric Cancer With Histopathologic Correlation , 2006, Journal of computer assisted tomography.

[12]  R. Thirlby,et al.  Current problems in surgery: gastric cancer. , 2006, Current problems in surgery.

[13]  S. Y. Lee,et al.  Comparing MR imaging and CT in the staging of gastric carcinoma. , 2000, AJR. American journal of roentgenology.

[14]  H. Feußner,et al.  Staginglaparoskopie in der Onkologie , 2006, Der Chirurg.

[15]  Chun-Ying Wu,et al.  A clinicopathologic study of mucinous gastric carcinoma including multivariate analysis , 1999, Cancer.

[16]  G. Kauffmann,et al.  Helical hydro-CT for diagnosis and staging of gastric carcinoma. , 1999, Journal of computer assisted tomography.