Computer technology in detection and staging of prostate carcinoma: a review
| Autor: | Yanong Zhu, Stuart K. Williams, Reyer Zwiggelaar |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Diagnostic Imaging
Male medicine.medical_specialty Technology Assessment Biomedical Health Informatics Adenocarcinoma Computing Methodologies Sensitivity and Specificity Pattern Recognition Automated Prostate cancer Breast cancer Imaging Three-Dimensional Artificial Intelligence Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Stage (cooking) Lung cancer Neoplasm Staging Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Cancer Prostatic Neoplasms Reproducibility of Results Magnetic resonance imaging medicine.disease Image Enhancement Computer Graphics and Computer-Aided Design Clinical trial Computer Vision and Pattern Recognition Radiology business Algorithms Computer technology Biotechnology |
| Zdroj: | Medical image analysis. 10(2) |
| ISSN: | 1361-8415 |
| Popis: | After two decades of increasing interest and research activity, computer-assisted diagnostic approaches are reaching the stage where more routine deployment in clinical practice is becoming a possibility [Kruppinski, E.A., 2004. Computer-aided detection in clinical environment: Benefits and challenges for radiologists. Radiology 231, 7-9]. This is particularly the case in the analysis of mammographic images [Helvie, M.A., Hadjiiski, L., Makariou, E., Chan, H.P., Petrick, N., Sahiner, B., Lo, S.C., Freedman, M., Adler, D., Bailey, J., Blane, C., Hoff, D., Hunt, K., Joynt, L., Klein, K., Paramagul, C., Patterson, S.K., Roubidoux, M.A., 2004. Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trial. Radiology 231, 208-214] and in the detection of pulmonary nodules [Reeves, A.P., Kostis, W.J., 2000. Computer-aided diagnosis for lung cancer. Radiol. Clin. North Am. 38, 497-509]. However, similar approaches can be applied more widely with the promise of increasing clinical utility in other areas. We review how computer-aided approaches may be applied in the diagnosis and staging of prostatic cancer. The current status of computer technology is reviewed, covering artificial neural networks for detection and staging, computerised biopsy simulation and computer-assisted analysis of ultrasound and magnetic resonance images. |
| Databáze: | OpenAIRE |
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