The Experts below are selected from a list of 57 Experts worldwide ranked by ideXlab platform

A Savage - One of the best experts on this subject based on the ideXlab platform.

  • The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease.
    Proceedings of the National Academy of Sciences of the United States of America, 2020
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Maria Paraskevaidi, Zsolt Bodai, Ilkka Kalliala, Sarah Bowden, Konstantinos Lathouras, Francesca Rosini, Marcell Szasz, A Savage
    Abstract:

    Clearance of surgical margins in cervical cancer prevents the need for adjuvant chemoradiation and allows fertility preservation. In this study, we determined the capacity of the rapid evaporative ionization mass spectrometry (REIMS), also known as intelligent knife (iKnife), to discriminate between healthy, preinvasive, and invasive cervical tissue. Cervical tissue samples were collected from women with healthy, human papilloma virus (HPV) ± cervical intraepithelial neoplasia (CIN), or cervical cancer. A handheld Diathermy Device generated surgical aerosol, which was transferred into a mass spectrometer for subsequent chemical analysis. Combination of principal component and linear discriminant analysis and least absolute shrinkage and selection operator was employed to study the spectral differences between groups. Significance of discriminatory m/z features was tested using univariate statistics and tandem MS performed to elucidate the structure of the significant peaks allowing separation of the two classes. We analyzed 87 samples (normal = 16, HPV ± CIN = 50, cancer = 21 patients). The iKnife discriminated with 100% accuracy normal (100%) vs. HPV ± CIN (100%) vs. cancer (100%) when compared to histology as the gold standard. When comparing normal vs. cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specificity 100% (79.4 to 100). Univariate analysis revealed significant MS peaks in the cancer-to-normal separation belonging to various classes of complex lipids. The iKnife discriminates healthy from premalignant and invasive cervical lesions with high accuracy and can improve oncological outcomes and fertility preservation of women treated surgically for cervical cancer. Larger in vivo research cohorts are required to validate these findings.

  • EP1131 The iKnife and its application for the treatment of cervical abnormalities
    ePoster, 2019
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Zsolt Bodai, Ilkka Kalliala, Francesca Rosini, A Savage, S Lever, James S. Mckenzie, David A. Macintyre, Sadaf Ghaem-maghami
    Abstract:

    Introduction/Background Surgical management of presumed early stage cervical cancer presents challenges as clearance of surgical margins avoids adjuvant chemoradiotherapy that can substantially increase morbidity and may allow fertility preservation in young women. Improved intra-operative diagnostic tools have the potential to improve outcomes. In this study, we explore whether the Rapid Evaporative Ionization Mass Spectrometry (REIMS), also known as the iKnife (intelligent Knife), can accurately discriminate between healthy, pre-invasive and invasive cervical tissue ex vivo. Methodology We prospectively collected fresh frozen cervical tissue samples in normal controls and women with Human Papilloma Virus (HPV) ± cervical intraepithelial neoplasia (CIN) and cervical cancer (Cancer) between 2006 and 2018. A handheld Diathermy Device was used to burn the biopsies; the surgical aerosol produced was subsequently transferred into a mass-spectrometer. The tissue was then stained for histopathological validation. We used principal component and linear discriminant analysis to calculate the accuracy of the iKnife in discriminating between the 3 groups. Cancerous and normal tissues were then processed with REIMS tandem MS (REI-MS/MS) to further delineate the most significant peaks allowing separation of the two classes and identify their lipid profile. Results The iKnife had an overall 97.8% accuracy in discriminating accurately normal (100%) vs HPV±CIN (100%) versus cancer (83.3%) when compared to histology as the gold standard. REI-MS/MS and LipidMAPS revealed twelve significant MS peaks in the cancer to normal separation. Conclusion This study shows that REIMS iKnife has the potential to accurately discriminate healthy, from precancerous and invasive lesions on the cervix. The overexperessed lipids in cancer may be used as markers of disease. If these finding are replicated in larger cohorts, the iKnife may allow real-time intra-operative diagnosis of the presence of disease in surgical margins and lymph nodes. Disclosure Nothing to disclose

Menelaos Tzafetas - One of the best experts on this subject based on the ideXlab platform.

  • The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease.
    Proceedings of the National Academy of Sciences of the United States of America, 2020
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Maria Paraskevaidi, Zsolt Bodai, Ilkka Kalliala, Sarah Bowden, Konstantinos Lathouras, Francesca Rosini, Marcell Szasz, A Savage
    Abstract:

    Clearance of surgical margins in cervical cancer prevents the need for adjuvant chemoradiation and allows fertility preservation. In this study, we determined the capacity of the rapid evaporative ionization mass spectrometry (REIMS), also known as intelligent knife (iKnife), to discriminate between healthy, preinvasive, and invasive cervical tissue. Cervical tissue samples were collected from women with healthy, human papilloma virus (HPV) ± cervical intraepithelial neoplasia (CIN), or cervical cancer. A handheld Diathermy Device generated surgical aerosol, which was transferred into a mass spectrometer for subsequent chemical analysis. Combination of principal component and linear discriminant analysis and least absolute shrinkage and selection operator was employed to study the spectral differences between groups. Significance of discriminatory m/z features was tested using univariate statistics and tandem MS performed to elucidate the structure of the significant peaks allowing separation of the two classes. We analyzed 87 samples (normal = 16, HPV ± CIN = 50, cancer = 21 patients). The iKnife discriminated with 100% accuracy normal (100%) vs. HPV ± CIN (100%) vs. cancer (100%) when compared to histology as the gold standard. When comparing normal vs. cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specificity 100% (79.4 to 100). Univariate analysis revealed significant MS peaks in the cancer-to-normal separation belonging to various classes of complex lipids. The iKnife discriminates healthy from premalignant and invasive cervical lesions with high accuracy and can improve oncological outcomes and fertility preservation of women treated surgically for cervical cancer. Larger in vivo research cohorts are required to validate these findings.

  • EP1131 The iKnife and its application for the treatment of cervical abnormalities
    ePoster, 2019
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Zsolt Bodai, Ilkka Kalliala, Francesca Rosini, A Savage, S Lever, James S. Mckenzie, David A. Macintyre, Sadaf Ghaem-maghami
    Abstract:

    Introduction/Background Surgical management of presumed early stage cervical cancer presents challenges as clearance of surgical margins avoids adjuvant chemoradiotherapy that can substantially increase morbidity and may allow fertility preservation in young women. Improved intra-operative diagnostic tools have the potential to improve outcomes. In this study, we explore whether the Rapid Evaporative Ionization Mass Spectrometry (REIMS), also known as the iKnife (intelligent Knife), can accurately discriminate between healthy, pre-invasive and invasive cervical tissue ex vivo. Methodology We prospectively collected fresh frozen cervical tissue samples in normal controls and women with Human Papilloma Virus (HPV) ± cervical intraepithelial neoplasia (CIN) and cervical cancer (Cancer) between 2006 and 2018. A handheld Diathermy Device was used to burn the biopsies; the surgical aerosol produced was subsequently transferred into a mass-spectrometer. The tissue was then stained for histopathological validation. We used principal component and linear discriminant analysis to calculate the accuracy of the iKnife in discriminating between the 3 groups. Cancerous and normal tissues were then processed with REIMS tandem MS (REI-MS/MS) to further delineate the most significant peaks allowing separation of the two classes and identify their lipid profile. Results The iKnife had an overall 97.8% accuracy in discriminating accurately normal (100%) vs HPV±CIN (100%) versus cancer (83.3%) when compared to histology as the gold standard. REI-MS/MS and LipidMAPS revealed twelve significant MS peaks in the cancer to normal separation. Conclusion This study shows that REIMS iKnife has the potential to accurately discriminate healthy, from precancerous and invasive lesions on the cervix. The overexperessed lipids in cancer may be used as markers of disease. If these finding are replicated in larger cohorts, the iKnife may allow real-time intra-operative diagnosis of the presence of disease in surgical margins and lymph nodes. Disclosure Nothing to disclose

Ilkka Kalliala - One of the best experts on this subject based on the ideXlab platform.

  • The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease.
    Proceedings of the National Academy of Sciences of the United States of America, 2020
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Maria Paraskevaidi, Zsolt Bodai, Ilkka Kalliala, Sarah Bowden, Konstantinos Lathouras, Francesca Rosini, Marcell Szasz, A Savage
    Abstract:

    Clearance of surgical margins in cervical cancer prevents the need for adjuvant chemoradiation and allows fertility preservation. In this study, we determined the capacity of the rapid evaporative ionization mass spectrometry (REIMS), also known as intelligent knife (iKnife), to discriminate between healthy, preinvasive, and invasive cervical tissue. Cervical tissue samples were collected from women with healthy, human papilloma virus (HPV) ± cervical intraepithelial neoplasia (CIN), or cervical cancer. A handheld Diathermy Device generated surgical aerosol, which was transferred into a mass spectrometer for subsequent chemical analysis. Combination of principal component and linear discriminant analysis and least absolute shrinkage and selection operator was employed to study the spectral differences between groups. Significance of discriminatory m/z features was tested using univariate statistics and tandem MS performed to elucidate the structure of the significant peaks allowing separation of the two classes. We analyzed 87 samples (normal = 16, HPV ± CIN = 50, cancer = 21 patients). The iKnife discriminated with 100% accuracy normal (100%) vs. HPV ± CIN (100%) vs. cancer (100%) when compared to histology as the gold standard. When comparing normal vs. cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specificity 100% (79.4 to 100). Univariate analysis revealed significant MS peaks in the cancer-to-normal separation belonging to various classes of complex lipids. The iKnife discriminates healthy from premalignant and invasive cervical lesions with high accuracy and can improve oncological outcomes and fertility preservation of women treated surgically for cervical cancer. Larger in vivo research cohorts are required to validate these findings.

  • EP1131 The iKnife and its application for the treatment of cervical abnormalities
    ePoster, 2019
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Zsolt Bodai, Ilkka Kalliala, Francesca Rosini, A Savage, S Lever, James S. Mckenzie, David A. Macintyre, Sadaf Ghaem-maghami
    Abstract:

    Introduction/Background Surgical management of presumed early stage cervical cancer presents challenges as clearance of surgical margins avoids adjuvant chemoradiotherapy that can substantially increase morbidity and may allow fertility preservation in young women. Improved intra-operative diagnostic tools have the potential to improve outcomes. In this study, we explore whether the Rapid Evaporative Ionization Mass Spectrometry (REIMS), also known as the iKnife (intelligent Knife), can accurately discriminate between healthy, pre-invasive and invasive cervical tissue ex vivo. Methodology We prospectively collected fresh frozen cervical tissue samples in normal controls and women with Human Papilloma Virus (HPV) ± cervical intraepithelial neoplasia (CIN) and cervical cancer (Cancer) between 2006 and 2018. A handheld Diathermy Device was used to burn the biopsies; the surgical aerosol produced was subsequently transferred into a mass-spectrometer. The tissue was then stained for histopathological validation. We used principal component and linear discriminant analysis to calculate the accuracy of the iKnife in discriminating between the 3 groups. Cancerous and normal tissues were then processed with REIMS tandem MS (REI-MS/MS) to further delineate the most significant peaks allowing separation of the two classes and identify their lipid profile. Results The iKnife had an overall 97.8% accuracy in discriminating accurately normal (100%) vs HPV±CIN (100%) versus cancer (83.3%) when compared to histology as the gold standard. REI-MS/MS and LipidMAPS revealed twelve significant MS peaks in the cancer to normal separation. Conclusion This study shows that REIMS iKnife has the potential to accurately discriminate healthy, from precancerous and invasive lesions on the cervix. The overexperessed lipids in cancer may be used as markers of disease. If these finding are replicated in larger cohorts, the iKnife may allow real-time intra-operative diagnosis of the presence of disease in surgical margins and lymph nodes. Disclosure Nothing to disclose

Francesca Rosini - One of the best experts on this subject based on the ideXlab platform.

  • The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease.
    Proceedings of the National Academy of Sciences of the United States of America, 2020
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Maria Paraskevaidi, Zsolt Bodai, Ilkka Kalliala, Sarah Bowden, Konstantinos Lathouras, Francesca Rosini, Marcell Szasz, A Savage
    Abstract:

    Clearance of surgical margins in cervical cancer prevents the need for adjuvant chemoradiation and allows fertility preservation. In this study, we determined the capacity of the rapid evaporative ionization mass spectrometry (REIMS), also known as intelligent knife (iKnife), to discriminate between healthy, preinvasive, and invasive cervical tissue. Cervical tissue samples were collected from women with healthy, human papilloma virus (HPV) ± cervical intraepithelial neoplasia (CIN), or cervical cancer. A handheld Diathermy Device generated surgical aerosol, which was transferred into a mass spectrometer for subsequent chemical analysis. Combination of principal component and linear discriminant analysis and least absolute shrinkage and selection operator was employed to study the spectral differences between groups. Significance of discriminatory m/z features was tested using univariate statistics and tandem MS performed to elucidate the structure of the significant peaks allowing separation of the two classes. We analyzed 87 samples (normal = 16, HPV ± CIN = 50, cancer = 21 patients). The iKnife discriminated with 100% accuracy normal (100%) vs. HPV ± CIN (100%) vs. cancer (100%) when compared to histology as the gold standard. When comparing normal vs. cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specificity 100% (79.4 to 100). Univariate analysis revealed significant MS peaks in the cancer-to-normal separation belonging to various classes of complex lipids. The iKnife discriminates healthy from premalignant and invasive cervical lesions with high accuracy and can improve oncological outcomes and fertility preservation of women treated surgically for cervical cancer. Larger in vivo research cohorts are required to validate these findings.

  • EP1131 The iKnife and its application for the treatment of cervical abnormalities
    ePoster, 2019
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Zsolt Bodai, Ilkka Kalliala, Francesca Rosini, A Savage, S Lever, James S. Mckenzie, David A. Macintyre, Sadaf Ghaem-maghami
    Abstract:

    Introduction/Background Surgical management of presumed early stage cervical cancer presents challenges as clearance of surgical margins avoids adjuvant chemoradiotherapy that can substantially increase morbidity and may allow fertility preservation in young women. Improved intra-operative diagnostic tools have the potential to improve outcomes. In this study, we explore whether the Rapid Evaporative Ionization Mass Spectrometry (REIMS), also known as the iKnife (intelligent Knife), can accurately discriminate between healthy, pre-invasive and invasive cervical tissue ex vivo. Methodology We prospectively collected fresh frozen cervical tissue samples in normal controls and women with Human Papilloma Virus (HPV) ± cervical intraepithelial neoplasia (CIN) and cervical cancer (Cancer) between 2006 and 2018. A handheld Diathermy Device was used to burn the biopsies; the surgical aerosol produced was subsequently transferred into a mass-spectrometer. The tissue was then stained for histopathological validation. We used principal component and linear discriminant analysis to calculate the accuracy of the iKnife in discriminating between the 3 groups. Cancerous and normal tissues were then processed with REIMS tandem MS (REI-MS/MS) to further delineate the most significant peaks allowing separation of the two classes and identify their lipid profile. Results The iKnife had an overall 97.8% accuracy in discriminating accurately normal (100%) vs HPV±CIN (100%) versus cancer (83.3%) when compared to histology as the gold standard. REI-MS/MS and LipidMAPS revealed twelve significant MS peaks in the cancer to normal separation. Conclusion This study shows that REIMS iKnife has the potential to accurately discriminate healthy, from precancerous and invasive lesions on the cervix. The overexperessed lipids in cancer may be used as markers of disease. If these finding are replicated in larger cohorts, the iKnife may allow real-time intra-operative diagnosis of the presence of disease in surgical margins and lymph nodes. Disclosure Nothing to disclose

Zsolt Bodai - One of the best experts on this subject based on the ideXlab platform.

  • The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease.
    Proceedings of the National Academy of Sciences of the United States of America, 2020
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Maria Paraskevaidi, Zsolt Bodai, Ilkka Kalliala, Sarah Bowden, Konstantinos Lathouras, Francesca Rosini, Marcell Szasz, A Savage
    Abstract:

    Clearance of surgical margins in cervical cancer prevents the need for adjuvant chemoradiation and allows fertility preservation. In this study, we determined the capacity of the rapid evaporative ionization mass spectrometry (REIMS), also known as intelligent knife (iKnife), to discriminate between healthy, preinvasive, and invasive cervical tissue. Cervical tissue samples were collected from women with healthy, human papilloma virus (HPV) ± cervical intraepithelial neoplasia (CIN), or cervical cancer. A handheld Diathermy Device generated surgical aerosol, which was transferred into a mass spectrometer for subsequent chemical analysis. Combination of principal component and linear discriminant analysis and least absolute shrinkage and selection operator was employed to study the spectral differences between groups. Significance of discriminatory m/z features was tested using univariate statistics and tandem MS performed to elucidate the structure of the significant peaks allowing separation of the two classes. We analyzed 87 samples (normal = 16, HPV ± CIN = 50, cancer = 21 patients). The iKnife discriminated with 100% accuracy normal (100%) vs. HPV ± CIN (100%) vs. cancer (100%) when compared to histology as the gold standard. When comparing normal vs. cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specificity 100% (79.4 to 100). Univariate analysis revealed significant MS peaks in the cancer-to-normal separation belonging to various classes of complex lipids. The iKnife discriminates healthy from premalignant and invasive cervical lesions with high accuracy and can improve oncological outcomes and fertility preservation of women treated surgically for cervical cancer. Larger in vivo research cohorts are required to validate these findings.

  • EP1131 The iKnife and its application for the treatment of cervical abnormalities
    ePoster, 2019
    Co-Authors: Menelaos Tzafetas, Anita Mitra, Zsolt Bodai, Ilkka Kalliala, Francesca Rosini, A Savage, S Lever, James S. Mckenzie, David A. Macintyre, Sadaf Ghaem-maghami
    Abstract:

    Introduction/Background Surgical management of presumed early stage cervical cancer presents challenges as clearance of surgical margins avoids adjuvant chemoradiotherapy that can substantially increase morbidity and may allow fertility preservation in young women. Improved intra-operative diagnostic tools have the potential to improve outcomes. In this study, we explore whether the Rapid Evaporative Ionization Mass Spectrometry (REIMS), also known as the iKnife (intelligent Knife), can accurately discriminate between healthy, pre-invasive and invasive cervical tissue ex vivo. Methodology We prospectively collected fresh frozen cervical tissue samples in normal controls and women with Human Papilloma Virus (HPV) ± cervical intraepithelial neoplasia (CIN) and cervical cancer (Cancer) between 2006 and 2018. A handheld Diathermy Device was used to burn the biopsies; the surgical aerosol produced was subsequently transferred into a mass-spectrometer. The tissue was then stained for histopathological validation. We used principal component and linear discriminant analysis to calculate the accuracy of the iKnife in discriminating between the 3 groups. Cancerous and normal tissues were then processed with REIMS tandem MS (REI-MS/MS) to further delineate the most significant peaks allowing separation of the two classes and identify their lipid profile. Results The iKnife had an overall 97.8% accuracy in discriminating accurately normal (100%) vs HPV±CIN (100%) versus cancer (83.3%) when compared to histology as the gold standard. REI-MS/MS and LipidMAPS revealed twelve significant MS peaks in the cancer to normal separation. Conclusion This study shows that REIMS iKnife has the potential to accurately discriminate healthy, from precancerous and invasive lesions on the cervix. The overexperessed lipids in cancer may be used as markers of disease. If these finding are replicated in larger cohorts, the iKnife may allow real-time intra-operative diagnosis of the presence of disease in surgical margins and lymph nodes. Disclosure Nothing to disclose