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Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer
Prostate cancer (PCa) is the second most common cancer in men worldwide and the most frequently diagnosed cancer among men in more developed countries. The prognosis of PCa is excellent if detected at an early stage, making early screening crucial for detection and treatment. In recent years, a new...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888633/ https://www.ncbi.nlm.nih.gov/pubmed/35232991 http://dx.doi.org/10.1038/s41598-022-06872-7 |
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author | Wong, Alexander Gunraj, Hayden Sivan, Vignesh Haider, Masoom A. |
author_facet | Wong, Alexander Gunraj, Hayden Sivan, Vignesh Haider, Masoom A. |
author_sort | Wong, Alexander |
collection | PubMed |
description | Prostate cancer (PCa) is the second most common cancer in men worldwide and the most frequently diagnosed cancer among men in more developed countries. The prognosis of PCa is excellent if detected at an early stage, making early screening crucial for detection and treatment. In recent years, a new form of diffusion magnetic resonance imaging called correlated diffusion imaging (CDI) was introduced, and preliminary results show promise as a screening tool for PCa. In the largest study of its kind, we investigate the relationship between PCa presence and a new variant of CDI we term synthetic correlated diffusion imaging (CDI[Formula: see text] ), as well as its performance for PCa delineation compared to current standard MRI techniques [T2-weighted (T2w) imaging, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) imaging] across a cohort of 200 patient cases. Statistical analyses reveal that hyperintensity in CDI[Formula: see text] is a strong indicator of PCa presence and achieves strong delineation of clinically significant cancerous tissue compared to T2w, DWI, and DCE. These results suggest that CDI[Formula: see text] hyperintensity may be a powerful biomarker for the presence of PCa, and may have a clinical impact as a diagnostic aid for improving PCa screening. |
format | Online Article Text |
id | pubmed-8888633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88886332022-03-03 Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer Wong, Alexander Gunraj, Hayden Sivan, Vignesh Haider, Masoom A. Sci Rep Article Prostate cancer (PCa) is the second most common cancer in men worldwide and the most frequently diagnosed cancer among men in more developed countries. The prognosis of PCa is excellent if detected at an early stage, making early screening crucial for detection and treatment. In recent years, a new form of diffusion magnetic resonance imaging called correlated diffusion imaging (CDI) was introduced, and preliminary results show promise as a screening tool for PCa. In the largest study of its kind, we investigate the relationship between PCa presence and a new variant of CDI we term synthetic correlated diffusion imaging (CDI[Formula: see text] ), as well as its performance for PCa delineation compared to current standard MRI techniques [T2-weighted (T2w) imaging, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) imaging] across a cohort of 200 patient cases. Statistical analyses reveal that hyperintensity in CDI[Formula: see text] is a strong indicator of PCa presence and achieves strong delineation of clinically significant cancerous tissue compared to T2w, DWI, and DCE. These results suggest that CDI[Formula: see text] hyperintensity may be a powerful biomarker for the presence of PCa, and may have a clinical impact as a diagnostic aid for improving PCa screening. Nature Publishing Group UK 2022-03-01 /pmc/articles/PMC8888633/ /pubmed/35232991 http://dx.doi.org/10.1038/s41598-022-06872-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wong, Alexander Gunraj, Hayden Sivan, Vignesh Haider, Masoom A. Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer |
title | Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer |
title_full | Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer |
title_fullStr | Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer |
title_full_unstemmed | Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer |
title_short | Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer |
title_sort | synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888633/ https://www.ncbi.nlm.nih.gov/pubmed/35232991 http://dx.doi.org/10.1038/s41598-022-06872-7 |
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