Colorectal liver metastases: CT, MR imaging, and PET for diagnosis--meta-analysis
| Autor: | Maarten S. van Leeuwen, Emile F. I. Comans, Patrick M.M. Bossuyt, Shandra Bipat, Milan E. J. Pijl, Jaap Stoker, Aeilko H. Zwinderman |
|---|---|
| Přispěvatelé: | ACS - Amsterdam Cardiovascular Sciences, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Radiology and Nuclear Medicine, APH - Amsterdam Public Health, Epidemiology and Data Science, CCA -Cancer Center Amsterdam |
| Rok vydání: | 2005 |
| Předmět: |
medicine.medical_specialty
MEDLINE Rectum Gadolinium Sensitivity and Specificity Metastasis Fluorodeoxyglucose F18 Biopsy medicine Humans Radiology Nuclear Medicine and imaging medicine.diagnostic_test business.industry Liver Neoplasms Magnetic resonance imaging medicine.disease Magnetic Resonance Imaging Systematic review medicine.anatomical_structure Positron emission tomography Meta-analysis Positron-Emission Tomography Radiology business Nuclear medicine Colorectal Neoplasms Tomography X-Ray Computed Tomography Spiral Computed |
| Zdroj: | Radiology, 237(1), 123-131. Radiological Society of North America Inc. |
| ISSN: | 0033-8419 |
| Popis: | PURPOSE: To perform a meta-analysis to obtain sensitivity estimates of computed tomography (CT), magnetic resonance (MR) imaging and fluorine 18 fluorodeoxy- , glucose (FDG) positron emission tomography (PET) for detection of colorectal liver metastases on per-patient and per-lesion bases. MATERIALS AND METHODS: MEDLINE, EMBASE, Web of Science and CANCERLIT, databases and Cochrane Database of Systematic Reviews were searched for including original articles published from January 1990 to December 2003. Criteria for inclusion of articles were as follows: Articles were reported in the English German or,, French language; CT, MR imaging, or FDG PET was performed to identify and characterize colorectal liver metastases; histopathologic analysis (surgery, biopsy, or autopsy), intraoperative observation (manual palpatation, intraoperative ultrasonography [US]), and/or follow-up US was the reference standard; and data were sufficient for calculation of true-positive or false-negative values. A random-effects linear regression model was used to obtain sensitivity estimates in assessment of liver metastases. RESULTS: Of 165 identified relevant articles, 61 fulfilled all inclusion criteria Sen. sitivity estimates on a per-patient basis for nonhelical CT, helical CT, 1.5-T MR imaging, and FDG PET were 60.2%, 64.7%, 75.8%, and 94.6%, respectively; FDG PET was the most accurate modality. On a per-lesion basis, sensitivity estimates for nonhelical CT, helical CT, 1.0-T MR imaging, 1.5-T MR imaging, and FDG PET were 52.3%, 63.8%, 66.1%, 64.4%, and 75.9%, respectively; nonhelical CT had lowest sensitivity. Estimates of gadolinium-enhanced MR imaging and superparamagnetic iron oxide (SPIO)-enhanced MR imaging were significantly better, compared with nonenhanced MR imaging (P =.019 and P |
| Databáze: | OpenAIRE |
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