Endoscopy 2002; 34(6): 441-446
DOI: 10.1055/s-2002-31999
Original Article

© Georg Thieme Verlag Stuttgart · New York

Computed Tomographic Colonography (Virtual Colonoscopy): Blinded Prospective Comparison with Conventional Colonoscopy for the Detection of Colorectal Neoplasia

A.  Laghi 1 , R.  Iannaccone 1 , I.  Carbone 1 , C.  Catalano 1 , V.  Panebianco 1 , E.  Di Giulio 2 , A.  Schillaci 2 , R.  Passariello 1
  • 1 Department of Radiology II, University of Rome - La Sapienza, Policlinico Umberto I, Rome, Italy
  • 2 Department of Surgery, University of Rome - La Sapienza, Policlinico Umberto I, Rome, Italy
Weitere Informationen

Publikationsverlauf

30 April 2001

21 November 2001

Publikationsdatum:
04. Juni 2002 (online)

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Background and Study Aims: Computed tomographic colonography (CTC), also known as virtual colonoscopy, is a recently introduced imaging modality for the detection of colorectal neoplasia. The aim of our study was to evaluate the performance of CTC in a blinded comparison with conventional colonoscopy.
Patients and Methods: A total of 66 consecutive, symptomatic patients underwent spiral computed tomography (CT) examination after standard bowel preparation. CT images were analyzed and subsequently compared with conventional colonoscopy findings.

Results: Conventional colonoscopy detected 15 colorectal carcinomas and 52 polyps. CTC correctly identified all carcinomas, 13 of 14 polyps greater than 10.0 mm (sensitivity 92.8 %; 95 % confidence interval (95 % CI); 77 - 100), 11 of 13 polyps between 6.0 and 9.0 mm (sensitivity 84.6 %; 95 % CI; 62 - 100), and six of 25 polyps smaller than 5.0 mm (sensitivity 24 %; 95 % CI; 6 - 42). The per-patient sensitivity and specificity were 93.7 % and 94.1 %, respectively.

Conclusions: Computed tomographic colonography is an accurate imaging modality for the detection of colorectal neoplasia, especially for lesions larger than 6.0 mm in diameter.

References

Dr. A. Laghi

Department of Radiology II, University of Rome - La Sapienza, Policlinico Umberto I

Via Salaria 334 · 00199 Rome · Italy

Fax: + 39-06-490243

eMail: andrea.laghi@uniroma1.it