MAGNETIC RESONANCE IMAGING OF CLINICALLY LOCALIZED PROSTATIC CANCER
Autor: | Leena Kivisaari, J. O. Salo, Sakari Rannikko, Pekka Tervahartiala, Tapio Vehmas, S. Ikonen, Kimmo Taari, Päivi Kärkkäinen |
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Přispěvatelé: | Department of Diagnostics and Therapeutics, Haartman Institute (-2014), Department of Pathology, Clinicum, Urologian yksikkö |
Rok vydání: | 1998 |
Předmět: |
Pathology
medicine.medical_specialty urologia Urology medicine.medical_treatment education 030232 urology & nephrology 030218 nuclear medicine & medical imaging 03 medical and health sciences Prostate cancer 0302 clinical medicine Prostate Biopsy medicine medicine.diagnostic_test Prostatectomy business.industry Cancer Magnetic resonance imaging 3126 Surgery anesthesiology intensive care radiology medicine.disease medicine.anatomical_structure 030220 oncology & carcinogenesis Rectal administration business Nuclear medicine Endorectal coil |
Zdroj: | Journal of Urology. 159:915-919 |
ISSN: | 1527-3792 0022-5347 |
DOI: | 10.1016/s0022-5347(01)63770-4 |
Popis: | Purpose: We assess the accuracy of endorectal coil magnetic resonance imaging (MRI) for detecting tumor localization, capsular penetration and seminal vesicle invasion in clinically organ confined prostate cancer. We also evaluate intra-observer and interobserver agreement in interpreting MRI studies.Materials and Methods: MRI studies of 51 consecutive patients a mean of 61 years old with biopsy proved prostate cancer were retrospectively read twice by 2 radiologists in random order. Both radiologists marked tumor localization, capsular penetration and seminal vesicle invasion on standard tumor maps. These findings were compared with the histopathological results of radical prostatectomy specimens.Results: The overall accuracy of detecting cancer localization was 61%. The detection rate for cancer foci less than 5 mm. was only 5% but for lesions greater than 10 mm. it was 89%. There was 91 and 80% accuracy for detecting capsular penetration and seminal vesicle invasion, respectively. Sensitivity a... |
Databáze: | OpenAIRE |
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