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Robotic Mechanical Localization of Prostate Cancer Correlates with Magnetic Resonance Imaging Scans
PURPOSE: To evaluate the concordance of cancer location of the tissue mapping from a mechanical pressure transducer with magnetic resonance imaging (MRI) scans. MATERIALS AND METHODS: A total of 60 indentations were performed on 5 prostate specimens obtained after radical prostatectomy utilizing a r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Yonsei University College of Medicine
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3663222/ https://www.ncbi.nlm.nih.gov/pubmed/23709425 http://dx.doi.org/10.3349/ymj.2013.54.4.907 |
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author | Shin, Tae Young Kim, Yeong Jin Lim, Sey Kiat Kim, Jung Rha, Koon Ho |
author_facet | Shin, Tae Young Kim, Yeong Jin Lim, Sey Kiat Kim, Jung Rha, Koon Ho |
author_sort | Shin, Tae Young |
collection | PubMed |
description | PURPOSE: To evaluate the concordance of cancer location of the tissue mapping from a mechanical pressure transducer with magnetic resonance imaging (MRI) scans. MATERIALS AND METHODS: A total of 60 indentations were performed on 5 prostate specimens obtained after radical prostatectomy utilizing a robotic indentation system. The mechanical elastic moduli of suspected malignant lesions were calculated and mapped, and their locations were compared with suspicious areas of malignancy on MRI scans. RESULTS: The concordance rate between the location mapping from the robotic indentation system and MRI scans results was 90.0% (54/60). The sensitivity and specificity of the robotic indentation system were 87.9% (29/33) and 92.6% (25/27), respectively. The positive predictive value and negative predictive value were 93.5% (29/31) and 93.1% (27/29), respectively. CONCLUSION: The locations of malignant lesions derived from our robotic indentation system correlated strongly with the locations of suspected areas of malignancy on MRI scans. Our robotic system may provide a more targeted biopsy of the prostate than conventional non-targeted systemic biopsy, possibly improving the diagnostic accuracy of prostatic biopsies for cancer. |
format | Online Article Text |
id | pubmed-3663222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Yonsei University College of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-36632222013-07-01 Robotic Mechanical Localization of Prostate Cancer Correlates with Magnetic Resonance Imaging Scans Shin, Tae Young Kim, Yeong Jin Lim, Sey Kiat Kim, Jung Rha, Koon Ho Yonsei Med J Original Article PURPOSE: To evaluate the concordance of cancer location of the tissue mapping from a mechanical pressure transducer with magnetic resonance imaging (MRI) scans. MATERIALS AND METHODS: A total of 60 indentations were performed on 5 prostate specimens obtained after radical prostatectomy utilizing a robotic indentation system. The mechanical elastic moduli of suspected malignant lesions were calculated and mapped, and their locations were compared with suspicious areas of malignancy on MRI scans. RESULTS: The concordance rate between the location mapping from the robotic indentation system and MRI scans results was 90.0% (54/60). The sensitivity and specificity of the robotic indentation system were 87.9% (29/33) and 92.6% (25/27), respectively. The positive predictive value and negative predictive value were 93.5% (29/31) and 93.1% (27/29), respectively. CONCLUSION: The locations of malignant lesions derived from our robotic indentation system correlated strongly with the locations of suspected areas of malignancy on MRI scans. Our robotic system may provide a more targeted biopsy of the prostate than conventional non-targeted systemic biopsy, possibly improving the diagnostic accuracy of prostatic biopsies for cancer. Yonsei University College of Medicine 2013-07-01 2013-05-14 /pmc/articles/PMC3663222/ /pubmed/23709425 http://dx.doi.org/10.3349/ymj.2013.54.4.907 Text en © Copyright: Yonsei University College of Medicine 2013 http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Shin, Tae Young Kim, Yeong Jin Lim, Sey Kiat Kim, Jung Rha, Koon Ho Robotic Mechanical Localization of Prostate Cancer Correlates with Magnetic Resonance Imaging Scans |
title | Robotic Mechanical Localization of Prostate Cancer Correlates with Magnetic Resonance Imaging Scans |
title_full | Robotic Mechanical Localization of Prostate Cancer Correlates with Magnetic Resonance Imaging Scans |
title_fullStr | Robotic Mechanical Localization of Prostate Cancer Correlates with Magnetic Resonance Imaging Scans |
title_full_unstemmed | Robotic Mechanical Localization of Prostate Cancer Correlates with Magnetic Resonance Imaging Scans |
title_short | Robotic Mechanical Localization of Prostate Cancer Correlates with Magnetic Resonance Imaging Scans |
title_sort | robotic mechanical localization of prostate cancer correlates with magnetic resonance imaging scans |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3663222/ https://www.ncbi.nlm.nih.gov/pubmed/23709425 http://dx.doi.org/10.3349/ymj.2013.54.4.907 |
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