Optimising prostate mpMRI: prepare for success
| Autor: | Iztok Caglic, Tristan Barrett |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Image-Guided Biopsy
Male medicine.medical_specialty Time Factors Image quality Total hip replacement Key issues Sensitivity and Specificity Patient Care Planning 030218 nuclear medicine & medical imaging Contraindications Procedure 03 medical and health sciences Prostate cancer 0302 clinical medicine Gastrointestinal Agents Prostate medicine Humans Ejaculation Radiology Nuclear Medicine and imaging Medical physics Multiparametric Magnetic Resonance Imaging Neoplasm Staging Quality of Health Care business.industry Parasympatholytics Prostatic Neoplasms Seminal Vesicles Organ Size Prostheses and Implants General Medicine medicine.disease medicine.anatomical_structure 030220 oncology & carcinogenesis Peristalsis Rectal distension Neoplasm staging Artifacts business |
| Zdroj: | Clinical Radiology. 74:831-840 |
| ISSN: | 0009-9260 |
| DOI: | 10.1016/j.crad.2018.12.003 |
| Popis: | Multiparametric magnetic resonance imaging (MRI) now plays an essential role in prostate cancer diagnosis and management. The increasing use of MRI before biopsy makes obtaining images of the highest quality vital. The European Society of Urogenital Radiology (ESUR) 2012 guidelines and subsequent Prostate Imaging -Reporting Data System (PI-RADS) version 2 recommendations in 2015 address the technical considerations for optimising MRI acquisition; however, the quality of the multiparametric sequences employed depends not only on the hardware and software utilised and scanning parameters selected, but also on patient-related factors, for which current guidance is lacking. Patient preparation factors include bowel peristalsis, rectal distension, the presence of total hip replacement (THR), post-biopsy haemorrhage, and abstinence from ejaculation. New evidence has been accrued since the release of PI-RADS v2, and this review aims to explore the key issues of patient preparation and their potential to further optimise the image quality of mpMRI. |
| Databáze: | OpenAIRE |
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