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Primary peritoneal carcinoma: computed tomography and magnetic resonance findings.
- Source :
-
Journal of computer assisted tomography [J Comput Assist Tomogr] 2008 Jul-Aug; Vol. 32 (4), pp. 541-7. - Publication Year :
- 2008
-
Abstract
- Objective: To present computed tomography (CT) and magnetic resonance imaging (MRI) findings of primary peritoneal carcinoma (PPC) at initial presentation (IP) and recurrent disease (RD).<br />Methods: We studied 15 consecutive female patients (age range, 47-83 years; mean, 66.2 years) with pathologically proven PPC who underwent CT and/or MRI between July 2000 and December 2005. Preoperative radiological evaluation and postoperative follow-up was done with CT and/or magnetic resonance studies. All CT and MRI studies were evaluated retrospectively, independently, and blindly by 2 radiologists for the imaging findings of PPC.<br />Results: The imaging findings were as follows: ascites, 2 of 2 at IP, 9 of 10 at RD; peritoneal thickening and enhancement, 1 of 2 at IP, 9 of 10 at RD; peritoneal nodules or bulky mass lesions, 1 of 2 at IP, 8 of 10 at RD; lymph node involvement, 1 of 2 at IP, 3 of 10 at RD; and distant metastases, 1 of 10 at RD.<br />Conclusion: Ascites, peritoneal thickening and enhancement, and peritoneal nodules or bulky mass lesions were the most frequent findings of PPC. Recurrent disease revealed similar findings compared with the IP.
- Subjects :
- Aged
Aged, 80 and over
Carcinoma, Papillary surgery
Contrast Media administration & dosage
Female
Follow-Up Studies
Humans
Image Enhancement methods
Imaging, Three-Dimensional
Iohexol
Middle Aged
Observer Variation
Peritoneal Neoplasms surgery
Peritoneum diagnostic imaging
Peritoneum pathology
Peritoneum surgery
Reproducibility of Results
Retrospective Studies
Tomography, Spiral Computed methods
Carcinoma, Papillary diagnosis
Magnetic Resonance Imaging methods
Neoplasm Recurrence, Local diagnosis
Peritoneal Neoplasms diagnosis
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 1532-3145
- Volume :
- 32
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of computer assisted tomography
- Publication Type :
- Academic Journal
- Accession number :
- 18664839
- Full Text :
- https://doi.org/10.1097/RCT.0b013e318133a9d8