Surface-Based Ultrasound Scans for the Screening of Prostate Cancer
Surface-based ultrasound (SUS) systems have undergone substantial improvement over the years in image quality, ease-of-use, and reduction in size. Their ability to image organs non-invasively makes them a prime technology for the diagnosis and monitoring of various diseases and conditions. An exampl...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10758798/ |
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| author | Rory Bennett Tristan Barrett Vincent J. Gnanapragasam Zion Tse |
| author_facet | Rory Bennett Tristan Barrett Vincent J. Gnanapragasam Zion Tse |
| author_sort | Rory Bennett |
| collection | DOAJ |
| description | Surface-based ultrasound (SUS) systems have undergone substantial improvement over the years in image quality, ease-of-use, and reduction in size. Their ability to image organs non-invasively makes them a prime technology for the diagnosis and monitoring of various diseases and conditions. An example is the screening/risk- stratification of prostate cancer (PCa) using prostate-specific antigen density (PSAD). Current literature predominantly focuses on prostate volume (PV) estimation techniques that make use of magnetic resonance imaging (MRI) or transrectal ultrasound (TRUS) imaging, while SUS techniques are largely overlooked. If a reliable SUS PCa screening method can be introduced, patients may be able to forgo unnecessary MRI or TRUS scans. Such a screening procedure could be introduced into standard primary care settings with point-of-care ultrasound systems available at a fraction of the cost of their larger hospital counterparts. This review analyses whether literature suggests it is possible to use SUS-derived PV in the calculation of PSAD. |
| format | Article |
| id | doaj-art-3e642d1d39474ee188f66c77ea7822e8 |
| institution | OA Journals |
| issn | 2644-1276 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-3e642d1d39474ee188f66c77ea7822e82025-08-20T02:38:05ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762025-01-01621221810.1109/OJEMB.2024.350349410758798Surface-Based Ultrasound Scans for the Screening of Prostate CancerRory Bennett0https://orcid.org/0000-0002-0967-0778Tristan Barrett1Vincent J. Gnanapragasam2Zion Tse3https://orcid.org/0000-0001-9741-1137School of Engineering and Materials Science, Queen Mary University of London, London, U.K.Department of Radiology, Addenbrooke's Hospital, University of Cambridge School of Clinical Medicine, Cambridge, U.K.Department of Radiology, Addenbrooke's Hospital, University of Cambridge School of Clinical Medicine, Cambridge, U.K.School of Engineering and Materials Science, Queen Mary University of London, London, U.K.Surface-based ultrasound (SUS) systems have undergone substantial improvement over the years in image quality, ease-of-use, and reduction in size. Their ability to image organs non-invasively makes them a prime technology for the diagnosis and monitoring of various diseases and conditions. An example is the screening/risk- stratification of prostate cancer (PCa) using prostate-specific antigen density (PSAD). Current literature predominantly focuses on prostate volume (PV) estimation techniques that make use of magnetic resonance imaging (MRI) or transrectal ultrasound (TRUS) imaging, while SUS techniques are largely overlooked. If a reliable SUS PCa screening method can be introduced, patients may be able to forgo unnecessary MRI or TRUS scans. Such a screening procedure could be introduced into standard primary care settings with point-of-care ultrasound systems available at a fraction of the cost of their larger hospital counterparts. This review analyses whether literature suggests it is possible to use SUS-derived PV in the calculation of PSAD.https://ieeexplore.ieee.org/document/10758798/Abdominal ultrasoundmachine learningprostate cancerPSA-densitysurface-based ultrasound |
| spellingShingle | Rory Bennett Tristan Barrett Vincent J. Gnanapragasam Zion Tse Surface-Based Ultrasound Scans for the Screening of Prostate Cancer IEEE Open Journal of Engineering in Medicine and Biology Abdominal ultrasound machine learning prostate cancer PSA-density surface-based ultrasound |
| title | Surface-Based Ultrasound Scans for the Screening of Prostate Cancer |
| title_full | Surface-Based Ultrasound Scans for the Screening of Prostate Cancer |
| title_fullStr | Surface-Based Ultrasound Scans for the Screening of Prostate Cancer |
| title_full_unstemmed | Surface-Based Ultrasound Scans for the Screening of Prostate Cancer |
| title_short | Surface-Based Ultrasound Scans for the Screening of Prostate Cancer |
| title_sort | surface based ultrasound scans for the screening of prostate cancer |
| topic | Abdominal ultrasound machine learning prostate cancer PSA-density surface-based ultrasound |
| url | https://ieeexplore.ieee.org/document/10758798/ |
| work_keys_str_mv | AT rorybennett surfacebasedultrasoundscansforthescreeningofprostatecancer AT tristanbarrett surfacebasedultrasoundscansforthescreeningofprostatecancer AT vincentjgnanapragasam surfacebasedultrasoundscansforthescreeningofprostatecancer AT ziontse surfacebasedultrasoundscansforthescreeningofprostatecancer |