Comparison of PET with PET/CT in detecting peritoneal carcinomatosis: a meta-analysis
| Autor: | Jin-Kui Li, Ruifeng Yan, Changqin Jiang, Junqiang Lei |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
Urology Diagnosis tool Cochrane Library Multimodal Imaging Sensitivity and Specificity Peritoneal Neoplasm Fluorodeoxyglucose F18 Humans Medicine Radiology Nuclear Medicine and imaging Peritoneal Neoplasms PET-CT Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Carcinoma Gastroenterology Reproducibility of Results General Medicine Knowledge infrastructure Peritoneal carcinomatosis Positron emission tomography Positron-Emission Tomography Meta-analysis Radiology Peritoneum Radiopharmaceuticals Tomography X-Ray Computed Nuclear medicine business |
| Zdroj: | Abdominal Imaging. 40:2660-2666 |
| ISSN: | 1432-0509 0942-8925 |
| DOI: | 10.1007/s00261-015-0418-8 |
| Popis: | The study aims to perform a meta-analysis to compare the diagnostic value of FDG PET with PET/CT in detecting peritoneal carcinomatosis (PC) to identify the potentially most useful diagnostic modality. A computer-aided search was performed in the Cochrane Library, PubMed, EMBASE, Web of Science, the China Biological Medicine Database, VIP, China National Knowledge Infrastructure database, and Wanfang databases for articles concerning diagnosis of peritoneal metastases with PET or PET/CT. QUADAS was used to evaluate the included articles’ quality. On a per-patient basis, the pooled sensitivity of PET/CT (84%) was significantly higher than that of PET (60%), and the pooled specificity of PET (98%) was markedly higher than that for PET/CT (94%). On a per-lesion basis, the pooled sensitivity and specificity of PET/CT were 87 and 95%, respectively. Only 1 PET study on a per-lesion basis, its sensitivity is 65.8 and specificity is 94.1%. PET and PET/CT are powerful imaging techniques for detection and characterization of PC. PET/CT can be used as a screening tool and it may be acceptable to use PET as a diagnosis tool. |
| Databáze: | OpenAIRE |
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