Towards a Raman-based diagnostic approach for characterizing cytologically indeterminate thyroid nodules

Marcos A.S. Soares De Oliveira, Yuxia Fan, Michael Campbell, Eric C. Huang, James W Chan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Thyroid nodules are very common, and their incidence increase with age. The majority of thyroid nodules are benign, but approximately 5-15% are thyroid cancer. The cornerstone to evaluation of most thyroid nodules is a neck ultrasound followed by fine-needle aspiration (FNA) to evaluate for malignancy. Unfortunately, approximately 15-30% of FNAs are considered "indeterminate". In these cases, cytopathologist cannot determine if the thyroid nodule is benign or malignant based on FNA alone. Although the majority of these "indeterminate" nodules are ultimately benign, majority of these patients require thyroidectomies to rule out cancer. This puts the patient at unnecessary risk of surgical complications and increases health care costs. A better method is needed to help physicians determine the risk of malignancy in patients with indeterminate thyroid nodules. In recent years there has been much interest in the use of optical diagnostic in cancer detection. Recent investigations potentially suggest that Raman spectroscopy (RS) can be used as a clinical tool that could confer great patient advantage with minimally invasive, non-destructive, rapid and accurate diagnosis. In this study, we investigate the use of line-scan RS and imaging in combination with multivariate statistical analysis of the spectral data for objective identification and classification of single cells isolated from frozen samples of different types of human thyroid nodules. Preliminary results indicate a high sensitivity and specificity for identifying different cell types.

Original languageEnglish (US)
Title of host publicationImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII
EditorsDaniel L. Farkas, Attila Tarnok, James F. Leary
PublisherSPIE
ISBN (Electronic)9781510624047
DOIs
StatePublished - Jan 1 2019
EventImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII 2019 - San Francisco, United States
Duration: Feb 4 2019Feb 6 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10881
ISSN (Print)1605-7422

Conference

ConferenceImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII 2019
CountryUnited States
CitySan Francisco
Period2/4/192/6/19

Fingerprint

Thyroid Nodule
nodules
Needles
Raman spectroscopy
Health care
Statistical methods
Raman Spectrum Analysis
Ultrasonics
Fine Needle Biopsy
Imaging techniques
cancer
Neoplasms
needles
Costs
multivariate statistical analysis
Thyroidectomy
vacuum
physicians
Thyroid Neoplasms
Health Care Costs

Keywords

  • Cancer
  • Diagnostic
  • Multivariate analysis
  • Raman spectroscopy
  • Scanning
  • Thyroid

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Soares De Oliveira, M. A. S., Fan, Y., Campbell, M., Huang, E. C., & Chan, J. W. (2019). Towards a Raman-based diagnostic approach for characterizing cytologically indeterminate thyroid nodules. In D. L. Farkas, A. Tarnok, & J. F. Leary (Eds.), Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII [108811I] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10881). SPIE. https://doi.org/10.1117/12.2508171

Towards a Raman-based diagnostic approach for characterizing cytologically indeterminate thyroid nodules. / Soares De Oliveira, Marcos A.S.; Fan, Yuxia; Campbell, Michael; Huang, Eric C.; Chan, James W.

Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII. ed. / Daniel L. Farkas; Attila Tarnok; James F. Leary. SPIE, 2019. 108811I (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10881).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Soares De Oliveira, MAS, Fan, Y, Campbell, M, Huang, EC & Chan, JW 2019, Towards a Raman-based diagnostic approach for characterizing cytologically indeterminate thyroid nodules. in DL Farkas, A Tarnok & JF Leary (eds), Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII., 108811I, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10881, SPIE, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII 2019, San Francisco, United States, 2/4/19. https://doi.org/10.1117/12.2508171
Soares De Oliveira MAS, Fan Y, Campbell M, Huang EC, Chan JW. Towards a Raman-based diagnostic approach for characterizing cytologically indeterminate thyroid nodules. In Farkas DL, Tarnok A, Leary JF, editors, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII. SPIE. 2019. 108811I. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2508171
Soares De Oliveira, Marcos A.S. ; Fan, Yuxia ; Campbell, Michael ; Huang, Eric C. ; Chan, James W. / Towards a Raman-based diagnostic approach for characterizing cytologically indeterminate thyroid nodules. Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII. editor / Daniel L. Farkas ; Attila Tarnok ; James F. Leary. SPIE, 2019. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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AB - Thyroid nodules are very common, and their incidence increase with age. The majority of thyroid nodules are benign, but approximately 5-15% are thyroid cancer. The cornerstone to evaluation of most thyroid nodules is a neck ultrasound followed by fine-needle aspiration (FNA) to evaluate for malignancy. Unfortunately, approximately 15-30% of FNAs are considered "indeterminate". In these cases, cytopathologist cannot determine if the thyroid nodule is benign or malignant based on FNA alone. Although the majority of these "indeterminate" nodules are ultimately benign, majority of these patients require thyroidectomies to rule out cancer. This puts the patient at unnecessary risk of surgical complications and increases health care costs. A better method is needed to help physicians determine the risk of malignancy in patients with indeterminate thyroid nodules. In recent years there has been much interest in the use of optical diagnostic in cancer detection. Recent investigations potentially suggest that Raman spectroscopy (RS) can be used as a clinical tool that could confer great patient advantage with minimally invasive, non-destructive, rapid and accurate diagnosis. In this study, we investigate the use of line-scan RS and imaging in combination with multivariate statistical analysis of the spectral data for objective identification and classification of single cells isolated from frozen samples of different types of human thyroid nodules. Preliminary results indicate a high sensitivity and specificity for identifying different cell types.

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