Skip to main content

64-Section multi-detector row CT in the preoperative diagnosis of peritoneal carcinomatosis: correlation with histopathological findings.

Publication ,  Journal Article
Marin, D; Catalano, C; Baski, M; Di Martino, M; Geiger, D; Di Giorgio, A; Sibio, S; Passariello, R
Published in: Abdom Imaging
December 2010

BACKGROUND: To prospectively investigate the diagnostic accuracy of a 64-section multi-detector row computed tomography (CT) for the detection of peritoneal metastases, with the use of surgery and histopathological findings as the reference standard. METHODS: The study cohort comprised 18 patients with peritoneal carcinomatosis who underwent multiphasic CT with a 64-section CT, 0-119 days before cytoreductive surgery. Transverse CT images along with isotropic reformatted coronal and sagittal images were prospectively and independently evaluated by one of the five staff radiologists in an unblinded fashion. RESULTS: The overall sensitivity, specificity, positive, and negative predictive values of CT for the detection of peritoneal metastases were, respectively, 75% (93 of 124 lesions; confidence interval [CI] 68-84), 92% (118 of 128; CI 85-96), 90% (93 of 103; CI 83-95), and 79% (118 of 149; CI 72-86). For lesions 0.5 cm in diameter or larger, CT yielded a mean sensitivity of 89% (77 of 87; CI 75-97), although sensitivity decreased to only 43% (16 of 37; CI 28-56) for lesions <0.5 cm in diameter. CONCLUSIONS: 64-Section CT with the addition of isotropic reformatted coronal and sagittal images is a very effective technique in the detection of peritoneal metastases of 0.5 cm in diameter or larger, although sensitivity decreases remarkably for lesions <0.5 cm in diameter.

Duke Scholars

Published In

Abdom Imaging

DOI

EISSN

1432-0509

Publication Date

December 2010

Volume

35

Issue

6

Start / End Page

694 / 700

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Sensitivity and Specificity
  • Radiographic Image Interpretation, Computer-Assisted
  • Prospective Studies
  • Predictive Value of Tests
  • Peritoneal Neoplasms
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Iopamidol
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Marin, D., Catalano, C., Baski, M., Di Martino, M., Geiger, D., Di Giorgio, A., … Passariello, R. (2010). 64-Section multi-detector row CT in the preoperative diagnosis of peritoneal carcinomatosis: correlation with histopathological findings. Abdom Imaging, 35(6), 694–700. https://doi.org/10.1007/s00261-008-9464-9
Marin, Daniele, Carlo Catalano, Mahbubeh Baski, Michele Di Martino, Daniel Geiger, Angelo Di Giorgio, Simone Sibio, and Roberto Passariello. “64-Section multi-detector row CT in the preoperative diagnosis of peritoneal carcinomatosis: correlation with histopathological findings.Abdom Imaging 35, no. 6 (December 2010): 694–700. https://doi.org/10.1007/s00261-008-9464-9.
Marin D, Catalano C, Baski M, Di Martino M, Geiger D, Di Giorgio A, et al. 64-Section multi-detector row CT in the preoperative diagnosis of peritoneal carcinomatosis: correlation with histopathological findings. Abdom Imaging. 2010 Dec;35(6):694–700.
Marin, Daniele, et al. “64-Section multi-detector row CT in the preoperative diagnosis of peritoneal carcinomatosis: correlation with histopathological findings.Abdom Imaging, vol. 35, no. 6, Dec. 2010, pp. 694–700. Pubmed, doi:10.1007/s00261-008-9464-9.
Marin D, Catalano C, Baski M, Di Martino M, Geiger D, Di Giorgio A, Sibio S, Passariello R. 64-Section multi-detector row CT in the preoperative diagnosis of peritoneal carcinomatosis: correlation with histopathological findings. Abdom Imaging. 2010 Dec;35(6):694–700.

Published In

Abdom Imaging

DOI

EISSN

1432-0509

Publication Date

December 2010

Volume

35

Issue

6

Start / End Page

694 / 700

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Sensitivity and Specificity
  • Radiographic Image Interpretation, Computer-Assisted
  • Prospective Studies
  • Predictive Value of Tests
  • Peritoneal Neoplasms
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Iopamidol