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Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy

Yıl 2025, Cilt: 15 Sayı: 1, 172 - 177, 01.03.2025
https://doi.org/10.21597/jist.1525173

Öz

The aim of this study was to investigate the efficacy of radiotherapy in patients with gynecologic diagnosis and radiotherapy indications using vibrational spectroscopy as an alternative method to standard methods. Vibration spectroscopy is a non-invasive and sensitive technique for the diagnosis of gynecologic tumors and determination of treatment efficacy. This method analyzes biochemical components by examining the characteristic vibrational frequencies of molecules and includes techniques such as Raman spectroscopy and infrared (IR) spectroscopy. Raman spectroscopy analyzes protein, lipid and nucleic acid contents, with the capacity to identify biomolecular changes in cancerous tissues, while FTIR spectroscopy detects changes at the cellular level. Raman spectroscopy clearly revealed biochemical differences between cancerous and normal tissues. Significant changes in protein and lipid content were observed in cancerous tissues. CA-125 and HE-4 biomarker levels showed significant differences between before and after treatment. There was a strong correlation between spectroscopic data and biomarker levels. FTIR spectra were effective in identifying changes at the cellular level. Changes were detected in the FTIR spectra of cancer cells, especially in phospholipid and nucleic acid content.In conclusion, vibrational spectroscopy plays an important role as an alternative method to standard methods in the diagnosis of gynecologic tumors and determination of treatment efficacy, and its widespread use in clinical practice contributes significantly to successful outcomes in the management of gynecologic cancers.

Kaynakça

  • Baker, M. J., E. Gazi, M. D. Brown, J. H. Shanks, P. Gardner, and N. W. Clarke. 2008. “FTIR-Based Spectroscopic Analysis in the Identification of Clinically Aggressive Prostate Cancer.” British Journal of Cancer 99(11):1859–66. doi: 10.1038/sj.bjc.6604753.
  • Bast, Robert C., Bryan Hennessy, and Gordon B. Mills. 2009. “The Biology of Ovarian Cancer: New Opportunities for Translation.” Nature Reviews Cancer 9(6):415–28. doi: 10.1038/nrc2644.
  • Birtoiu, I. A., C. Rizea, D. Togoe, R. M. Munteanu, C. Micsa, M. I. Rusu, M. Tautan, L. Braic, L. O. Scoicaru, A. Parau, N. D. Becherescu-Barbu, M. V. Udrea, A. Tonetto, R. Notonier, and C. E. A. Grigorescu. 2016. “Diagnosing Clean Margins through Raman Spectroscopy in Human and Animal Mammary Tumour Surgery: A Short Review.” Interface Focus 6(6). doi: 10.1098/RSFS.2016.0067.
  • Chan, and Sergei G. Kazarian. 2016. “Attenuated Total Reflection Fourier-Transform Infrared (ATR-FTIR) Imaging of Tissues and Live Cells.” Chemical Society Reviews 45(7):1850–64. doi: 10.1039/C5CS00515A.
  • Clède, Sylvain, Clotilde Policar, and Christophe Sandt. 2014. “Fourier Transform Infrared (FT-IR) Spectromicroscopy to Identify Cell Organelles: Correlation with Fluorescence Staining in MCF-7 Breast Cancer Cells.” Applied Spectroscopy 68(1):113–17. doi: 10.1366/13-07139.
  • Depciuch, Joanna, Ewa Kaznowska, Izabela Zawlik, Renata Wojnarowska, Marian Cholewa, Philip Heraud, and Józef Cebulski. 2016. “Application of Raman Spectroscopy and Infrared Spectroscopy in the Identification of Breast Cancer.” Applied Spectroscopy 70(2):251–63. doi: 10.1177/0003702815620127.
  • Ferguson, Dougal, Alex Henderson, Elizabeth F. McInnes, Rob Lind, Jan Wildenhain, and Peter Gardner. 2022. “Infrared Micro-Spectroscopy Coupled with Multivariate and Machine Learning Techniques for Cancer Classification in Tissue: A Comparison of Classification Method, Performance, and Pre-Processing Technique.” Analyst 147(16):3709–22. doi: 10.1039/D2AN00775D.
  • Goff, Barbara A., Lynn Mandel, Howard G. Muntz, and Cindy H. Melancon. n.d. “Ovarian Carcinoma Diagnosis Results of a National Ovarian Cancer Survey.” doi: 10.1002/1097-0142(20001115)89:10.
  • GÜL, Osman Vefa, Hamit BAŞARAN, Mursel DUZOVA, and Gökçen İNAN. 2024. “Dosimetric Comparison of Inverse Planning Simulated Annealing and Manual Optimization for Intracavitary Cervix Brachytherapy.” Genel Tıp Dergisi 34(1):109–13. doi: 10.54005/geneltip.1375470.
  • Hage, Charles‐Henri, Pierre Leclerc, Marc Fabert, Sylvia M. Bardet, Julien Brevier, Guillaume Ducourthial, Tigran Mansuryan, Aymeric Leray, Alexandre Kudlinski, and Frédéric Louradour. 2019. “A Readily Usable Two‐photon Fluorescence Lifetime Microendoscope.” Journal of Biophotonics 12(5). doi: 10.1002/jbio.201800276.
  • Jones, Robin R., David C. Hooper, Liwu Zhang, Daniel Wolverson, and Ventsislav K. Valev. 2019. “Raman Techniques: Fundamentals and Frontiers.” Nanoscale Research Letters 14(1).
  • Moore, Richard G., Amy K. Brown, M. Craig Miller, Steven Skates, W. Jeffrey Allard, Thorsten Verch, Margaret Steinhoff, Geralyn Messerlian, Paul DiSilvestro, C. O. Granai, and Robert C. Bast. 2008. “The Use of Multiple Novel Tumor Biomarkers for the Detection of Ovarian Carcinoma in Patients with a Pelvic Mass.” Gynecologic Oncology 108(2):402–8. doi: 10.1016/j.ygyno.2007.10.017.
  • Sala, Evis, Andrea Rockall, Deepa Rangarajan, and Rahel A. Kubik-Huch. 2010. “The Role of Dynamic Contrast-Enhanced and Diffusion Weighted Magnetic Resonance Imaging in the Female Pelvis.” European Journal of Radiology 76(3):367–85. doi: 10.1016/J.EJRAD.2010.01.026.
  • Siegel RL, Miller KD, Jemal A. 2016. “No Cancer Statistics, 2016.” CA Cancer J Clin (66(1)):7–30.
  • Siegel, Rebecca, Deepa Naishadham, and Ahmedin Jemal. 2012. “Cancer Statistics, 2012.” CA: A Cancer Journal for Clinicians 62(1):10–29. doi: 10.3322/CAAC.20138.
  • Siegel, Rebecca, Elizabeth Ward, Otis Brawley, and Ahmedin Jemal. 2011. “Cancer Statistics, 2011.” CA: A Cancer Journal for Clinicians 61(4):212–36. doi: 10.3322/CAAC.20121.
  • Smith, Rachael, Karen L. Wright, and Lorna Ashton. 2016. “Raman Spectroscopy: An Evolving Technique for Live Cell Studies.” Analyst 141(12):3590–3600. doi: 10.1039/c6an00152a.
  • Smolina, Margarita, and Erik Goormaghtigh. 2018. “Gene Expression Data and FTIR Spectra Provide a Similar Phenotypic Description of Breast Cancer Cell Lines in 2D and 3D Cultures.” Analyst 143(11):2520–30. doi: 10.1039/C8AN00145F.
  • Tian, P., W. Zhang, H. Zhao, Y. Lei, L. Cui, Y. Zhang, and Z. Xu. 2015. “Intraoperative Detection of Sentinel Lymph Node Metastases in Breast Carcinoma by Fourier Transform Infrared Spectroscopy.” The British Journal of Surgery 102(11):1372–79. doi: 10.1002/BJS.9882.
  • Timmerman, Dirk, Lieveke Ameye, Daniela Fischerova, Elisabeth Epstein, Gian Benedetto Melis, Stefano Guerriero, Caroline Van Holsbeke, Luca Savelli, Robert Fruscio, Andrea Alberto Lissoni, Antonia Carla Testa, Joan Veldman, Ignace Vergote, Sabine Van Huffel, Tom Bourne, and Lil Valentin. 2010. “Simple Ultrasound Rules to Distinguish between Benign and Malignant Adnexal Masses before Surgery: Prospective Validation by IOTA Group.” BMJ 341(7788):94. doi: 10.1136/BMJ.C6839.
  • Wilson, Brian C., Michael Jermyn, and Frédéric Leblond. 2018. “Challenges and Opportunities in Clinical Translation of Biomedical Optical Spectroscopy and Imaging.” Https://Doi.Org/10.1117/1.JBO.23.3.030901 23(3):030901. doi: 10.1117/1.JBO.23.3.030901.
  • Yang, Ying, Josep Sulé-Suso, Ganesh D. Sockalingum, Gregory Kegelaer, Michel Manfait, and Alicia J. El Haj. 2005. “Study of Tumor Cell Invasion by Fourier Transform Infrared Microspectroscopy.” Biopolymers 78(6):311–17. doi: 10.1002/BIP.20297.
Yıl 2025, Cilt: 15 Sayı: 1, 172 - 177, 01.03.2025
https://doi.org/10.21597/jist.1525173

Öz

Kaynakça

  • Baker, M. J., E. Gazi, M. D. Brown, J. H. Shanks, P. Gardner, and N. W. Clarke. 2008. “FTIR-Based Spectroscopic Analysis in the Identification of Clinically Aggressive Prostate Cancer.” British Journal of Cancer 99(11):1859–66. doi: 10.1038/sj.bjc.6604753.
  • Bast, Robert C., Bryan Hennessy, and Gordon B. Mills. 2009. “The Biology of Ovarian Cancer: New Opportunities for Translation.” Nature Reviews Cancer 9(6):415–28. doi: 10.1038/nrc2644.
  • Birtoiu, I. A., C. Rizea, D. Togoe, R. M. Munteanu, C. Micsa, M. I. Rusu, M. Tautan, L. Braic, L. O. Scoicaru, A. Parau, N. D. Becherescu-Barbu, M. V. Udrea, A. Tonetto, R. Notonier, and C. E. A. Grigorescu. 2016. “Diagnosing Clean Margins through Raman Spectroscopy in Human and Animal Mammary Tumour Surgery: A Short Review.” Interface Focus 6(6). doi: 10.1098/RSFS.2016.0067.
  • Chan, and Sergei G. Kazarian. 2016. “Attenuated Total Reflection Fourier-Transform Infrared (ATR-FTIR) Imaging of Tissues and Live Cells.” Chemical Society Reviews 45(7):1850–64. doi: 10.1039/C5CS00515A.
  • Clède, Sylvain, Clotilde Policar, and Christophe Sandt. 2014. “Fourier Transform Infrared (FT-IR) Spectromicroscopy to Identify Cell Organelles: Correlation with Fluorescence Staining in MCF-7 Breast Cancer Cells.” Applied Spectroscopy 68(1):113–17. doi: 10.1366/13-07139.
  • Depciuch, Joanna, Ewa Kaznowska, Izabela Zawlik, Renata Wojnarowska, Marian Cholewa, Philip Heraud, and Józef Cebulski. 2016. “Application of Raman Spectroscopy and Infrared Spectroscopy in the Identification of Breast Cancer.” Applied Spectroscopy 70(2):251–63. doi: 10.1177/0003702815620127.
  • Ferguson, Dougal, Alex Henderson, Elizabeth F. McInnes, Rob Lind, Jan Wildenhain, and Peter Gardner. 2022. “Infrared Micro-Spectroscopy Coupled with Multivariate and Machine Learning Techniques for Cancer Classification in Tissue: A Comparison of Classification Method, Performance, and Pre-Processing Technique.” Analyst 147(16):3709–22. doi: 10.1039/D2AN00775D.
  • Goff, Barbara A., Lynn Mandel, Howard G. Muntz, and Cindy H. Melancon. n.d. “Ovarian Carcinoma Diagnosis Results of a National Ovarian Cancer Survey.” doi: 10.1002/1097-0142(20001115)89:10.
  • GÜL, Osman Vefa, Hamit BAŞARAN, Mursel DUZOVA, and Gökçen İNAN. 2024. “Dosimetric Comparison of Inverse Planning Simulated Annealing and Manual Optimization for Intracavitary Cervix Brachytherapy.” Genel Tıp Dergisi 34(1):109–13. doi: 10.54005/geneltip.1375470.
  • Hage, Charles‐Henri, Pierre Leclerc, Marc Fabert, Sylvia M. Bardet, Julien Brevier, Guillaume Ducourthial, Tigran Mansuryan, Aymeric Leray, Alexandre Kudlinski, and Frédéric Louradour. 2019. “A Readily Usable Two‐photon Fluorescence Lifetime Microendoscope.” Journal of Biophotonics 12(5). doi: 10.1002/jbio.201800276.
  • Jones, Robin R., David C. Hooper, Liwu Zhang, Daniel Wolverson, and Ventsislav K. Valev. 2019. “Raman Techniques: Fundamentals and Frontiers.” Nanoscale Research Letters 14(1).
  • Moore, Richard G., Amy K. Brown, M. Craig Miller, Steven Skates, W. Jeffrey Allard, Thorsten Verch, Margaret Steinhoff, Geralyn Messerlian, Paul DiSilvestro, C. O. Granai, and Robert C. Bast. 2008. “The Use of Multiple Novel Tumor Biomarkers for the Detection of Ovarian Carcinoma in Patients with a Pelvic Mass.” Gynecologic Oncology 108(2):402–8. doi: 10.1016/j.ygyno.2007.10.017.
  • Sala, Evis, Andrea Rockall, Deepa Rangarajan, and Rahel A. Kubik-Huch. 2010. “The Role of Dynamic Contrast-Enhanced and Diffusion Weighted Magnetic Resonance Imaging in the Female Pelvis.” European Journal of Radiology 76(3):367–85. doi: 10.1016/J.EJRAD.2010.01.026.
  • Siegel RL, Miller KD, Jemal A. 2016. “No Cancer Statistics, 2016.” CA Cancer J Clin (66(1)):7–30.
  • Siegel, Rebecca, Deepa Naishadham, and Ahmedin Jemal. 2012. “Cancer Statistics, 2012.” CA: A Cancer Journal for Clinicians 62(1):10–29. doi: 10.3322/CAAC.20138.
  • Siegel, Rebecca, Elizabeth Ward, Otis Brawley, and Ahmedin Jemal. 2011. “Cancer Statistics, 2011.” CA: A Cancer Journal for Clinicians 61(4):212–36. doi: 10.3322/CAAC.20121.
  • Smith, Rachael, Karen L. Wright, and Lorna Ashton. 2016. “Raman Spectroscopy: An Evolving Technique for Live Cell Studies.” Analyst 141(12):3590–3600. doi: 10.1039/c6an00152a.
  • Smolina, Margarita, and Erik Goormaghtigh. 2018. “Gene Expression Data and FTIR Spectra Provide a Similar Phenotypic Description of Breast Cancer Cell Lines in 2D and 3D Cultures.” Analyst 143(11):2520–30. doi: 10.1039/C8AN00145F.
  • Tian, P., W. Zhang, H. Zhao, Y. Lei, L. Cui, Y. Zhang, and Z. Xu. 2015. “Intraoperative Detection of Sentinel Lymph Node Metastases in Breast Carcinoma by Fourier Transform Infrared Spectroscopy.” The British Journal of Surgery 102(11):1372–79. doi: 10.1002/BJS.9882.
  • Timmerman, Dirk, Lieveke Ameye, Daniela Fischerova, Elisabeth Epstein, Gian Benedetto Melis, Stefano Guerriero, Caroline Van Holsbeke, Luca Savelli, Robert Fruscio, Andrea Alberto Lissoni, Antonia Carla Testa, Joan Veldman, Ignace Vergote, Sabine Van Huffel, Tom Bourne, and Lil Valentin. 2010. “Simple Ultrasound Rules to Distinguish between Benign and Malignant Adnexal Masses before Surgery: Prospective Validation by IOTA Group.” BMJ 341(7788):94. doi: 10.1136/BMJ.C6839.
  • Wilson, Brian C., Michael Jermyn, and Frédéric Leblond. 2018. “Challenges and Opportunities in Clinical Translation of Biomedical Optical Spectroscopy and Imaging.” Https://Doi.Org/10.1117/1.JBO.23.3.030901 23(3):030901. doi: 10.1117/1.JBO.23.3.030901.
  • Yang, Ying, Josep Sulé-Suso, Ganesh D. Sockalingum, Gregory Kegelaer, Michel Manfait, and Alicia J. El Haj. 2005. “Study of Tumor Cell Invasion by Fourier Transform Infrared Microspectroscopy.” Biopolymers 78(6):311–17. doi: 10.1002/BIP.20297.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Klasik Fizik (Diğer)
Bölüm Fizik / Physics
Yazarlar

Yılmaz Şahin 0000-0003-2998-8879

Erken Görünüm Tarihi 20 Şubat 2025
Yayımlanma Tarihi 1 Mart 2025
Gönderilme Tarihi 30 Temmuz 2024
Kabul Tarihi 9 Ekim 2024
Yayımlandığı Sayı Yıl 2025 Cilt: 15 Sayı: 1

Kaynak Göster

APA Şahin, Y. (2025). Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy. Journal of the Institute of Science and Technology, 15(1), 172-177. https://doi.org/10.21597/jist.1525173
AMA Şahin Y. Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy. Iğdır Üniv. Fen Bil Enst. Der. Mart 2025;15(1):172-177. doi:10.21597/jist.1525173
Chicago Şahin, Yılmaz. “Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy”. Journal of the Institute of Science and Technology 15, sy. 1 (Mart 2025): 172-77. https://doi.org/10.21597/jist.1525173.
EndNote Şahin Y (01 Mart 2025) Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy. Journal of the Institute of Science and Technology 15 1 172–177.
IEEE Y. Şahin, “Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy”, Iğdır Üniv. Fen Bil Enst. Der., c. 15, sy. 1, ss. 172–177, 2025, doi: 10.21597/jist.1525173.
ISNAD Şahin, Yılmaz. “Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy”. Journal of the Institute of Science and Technology 15/1 (Mart 2025), 172-177. https://doi.org/10.21597/jist.1525173.
JAMA Şahin Y. Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy. Iğdır Üniv. Fen Bil Enst. Der. 2025;15:172–177.
MLA Şahin, Yılmaz. “Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy”. Journal of the Institute of Science and Technology, c. 15, sy. 1, 2025, ss. 172-7, doi:10.21597/jist.1525173.
Vancouver Şahin Y. Use of Vibration Spectroscopy in the Diagnosis of Gynaecological Tumours and Determination of Treatment Efficacy. Iğdır Üniv. Fen Bil Enst. Der. 2025;15(1):172-7.