Whole Body MRI in the Staging of Esophageal Cancer--A Prospective Comparison with Whole Body 18F-FDG PET-CT.
Dig Surg
; 32(5): 397-408, 2015.
Article
em En
| MEDLINE
| ID: mdl-26315570
ABSTRACT
BACKGROUND:
Positron emission tomography and computed tomography (PET-CT) is established in the staging of esophageal cancer. In this study, an MRI protocol was designed to emulate the anatomical (T1-weighed (T1W) and T2W imaging) and functional information (diffusion-weighted imaging) provided by PET-CT.METHODS:
In all, 49 patients with carcinoma of the esophagus underwent PET-CT and whole-body MRI (WBMRI). WBMRI was carried out using dedicated sequences tailored to detect metastatic disease at each area corresponding to the anatomical coverage of PET-CT. Nodal status was determined from histopathology and endoscopic ultrasound biopsy (EUS).RESULTS:
PET-CT and WBMRI identified the primary tumor in 46/49 (94%) and 48/49 (98%) patients, respectively. Nodal analysis in patients undergoing surgery (n = 18) yielded sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of 27, 100, 100, 47 and 56% for PET-CT, compared with 30, 100, 100, 53 and 61% for WBMRI. When nodal analysis included both surgical specimens and EUS criteria (n = 39), sensitivity, specificity, PPV, NPV and accuracy were 46, 91, 93, 40 and 59% for PET-CT compared with 59, 92, 94, 50 and 67% for WBMRI. Both imaging modalities identified distant metastases in 2 patients.CONCLUSION:
WBMRI has similar accuracy to PET-CT in detecting the primary tumor, nodal deposits and for exclusion of systemic metastatic disease.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Esofágicas
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Imageamento por Ressonância Magnética
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Carcinoma de Células Escamosas
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Adenocarcinoma
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Tomografia Computadorizada por Raios X
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Tomografia por Emissão de Pósitrons
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Imagem Multimodal
Tipo de estudo:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article