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

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Abstract

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.

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Acknowledgements

We express our gratitude to Masciangelo Raffaele, MD, for his invaluable help in the statistical analysis.

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Authors and Affiliations

  1. Department of Radiological Sciences, University of Rome Sapienza, Viale Regina Elena 324, Rome, 00161, Italy

    Daniele Marin, Carlo Catalano, Mahbubeh Baski, Michele Di Martino, Daniel Geiger & Roberto Passariello

  2. Department of Radiology, Duke University Medical Center, Durham, NC, 27710, USA

    Daniele Marin

  3. Department of Surgery Pietro Valdoni, University of Rome Sapienza, Viale Regina Elena 324, Rome, 00161, Italy

    Angelo Di Giorgio & Simone Sibio

Authors
  1. Daniele Marin
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  2. Carlo Catalano
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  3. Mahbubeh Baski
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  4. Michele Di Martino
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  5. Daniel Geiger
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  6. Angelo Di Giorgio
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  7. Simone Sibio
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  8. Roberto Passariello
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Corresponding author

Correspondence to Carlo Catalano.

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Marin, D., Catalano, C., Baski, M. et al. 64-Section multi-detector row CT in the preoperative diagnosis of peritoneal carcinomatosis: correlation with histopathological findings. Abdom Imaging 35, 694–700 (2010). https://doi.org/10.1007/s00261-008-9464-9

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  • DOI: https://doi.org/10.1007/s00261-008-9464-9

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