A new staging criterion for bladder carcinoma using gadolinium-enhanced magnetic resonance imaging with an endorectal surface coil: a comparison with ultrasonography
Autor: | Kan Takeda, Hiromi Tochigi, Norio Hayashi, Juichi Kawamura, T. Shiraishi |
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Rok vydání: | 2000 |
Předmět: |
Adult
Gadolinium DTPA Male Pathology medicine.medical_specialty Urology Gadolinium Bladder tumour Contrast Media chemistry.chemical_element Sensitivity and Specificity medicine Surface coil Carcinoma Humans Aged Neoplasm Staging Ultrasonography Aged 80 and over Urinary bladder medicine.diagnostic_test business.industry Magnetic resonance imaging Middle Aged Muscle layer medicine.disease Magnetic Resonance Imaging medicine.anatomical_structure Urinary Bladder Neoplasms chemistry Female Nuclear medicine business |
Zdroj: | BJU International. 85:32-36 |
ISSN: | 1464-410X 1464-4096 |
DOI: | 10.1046/j.1464-410x.2000.00358.x |
Popis: | ObjectiveTo evaluate the accuracy of a new staging criterion, submucosal linear enhancement (SLE) on gadolinium-diethylenetriamine-pentaacetic acid-enhanced T1-weighted magnetic resonance imaging (MRI) using an endorectal surface coil (endorectal enhanced MRI), and to compare the accuracy of this method with that of transurethral ultrasonography (TUUS). Patients and methodsThe study included 71 patients with bladder tumours (63 men and eight women, mean age 65.5 years, range 31–85). The SLE coincided with abundant submucosal vascular beds, as reported in a previous study. When the SLE beneath the tumour maintained continuity, the tumour was diagnosed as superficial ( T1), but if the SLE was interrupted by the tumour, the disease was considered invasive ( T2a). Superficial muscle invasion (less than half the muscle layer) and deep muscle invasion (more than half the muscle layer) were classified as T2a and T2b, respectively. When the tumour formed an extravesical mass, the tumour was classified as T3b. ResultsThe staging accuracy for bladder tumours using SLE on endorectal-enhanced MRI or TUUS was 83% and 60%, respectively (P |
Databáze: | OpenAIRE |
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