Rapid determination of oxygen saturation and vascularity for cancer detection
A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breas...
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Published in | PloS one Vol. 8; no. 12; p. e82977 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Public Library of Science
16.12.2013
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Abstract | A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breast tissues. The analysis works in two steps. First, a linear equation that translates the ratio of the diffuse reflectance at 584 nm and 545 nm to estimate the tissue hemoglobin concentration using a Monte Carlo-based lookup table was developed. This equation is independent of tissue scattering and oxygen saturation. Second, the oxygen saturation was estimated using non-linear logistic equations that translate the ratio of the diffuse reflectance spectra at 539 nm to 545 nm into the tissue oxygen saturation. Correlations coefficients of 0.89 (0.86), 0.77 (0.71) and 0.69 (0.43) were obtained for the tissue hemoglobin concentration (oxygen saturation) values extracted using the full spectral Monte Carlo and the ratiometric analysis, for clinical measurements in head and neck, breast and cervical tissues, respectively. The ratiometric analysis was more than 4000 times faster than the inverse Monte Carlo analysis for estimating tissue hemoglobin concentration and oxygen saturation in simulated phantom experiments. In addition, the discriminatory power of the two analyses was similar. These results show the potential of such empirical tools to rapidly estimate tissue hemoglobin in real-time spectral imaging applications. |
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AbstractList | A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breast tissues. The analysis works in two steps. First, a linear equation that translates the ratio of the diffuse reflectance at 584 nm and 545 nm to estimate the tissue hemoglobin concentration using a Monte Carlo-based lookup table was developed. This equation is independent of tissue scattering and oxygen saturation. Second, the oxygen saturation was estimated using non-linear logistic equations that translate the ratio of the diffuse reflectance spectra at 539 nm to 545 nm into the tissue oxygen saturation. Correlations coefficients of 0.89 (0.86), 0.77 (0.71) and 0.69 (0.43) were obtained for the tissue hemoglobin concentration (oxygen saturation) values extracted using the full spectral Monte Carlo and the ratiometric analysis, for clinical measurements in head and neck, breast and cervical tissues, respectively. The ratiometric analysis was more than 4000 times faster than the inverse Monte Carlo analysis for estimating tissue hemoglobin concentration and oxygen saturation in simulated phantom experiments. In addition, the discriminatory power of the two analyses was similar. These results show the potential of such empirical tools to rapidly estimate tissue hemoglobin in real-time spectral imaging applications. |
Audience | Academic |
Author | Ramanujam, Nimmi Hu, Fangyao Lee, Walter T Vishwanath, Karthik Lo, Justin Erkanli, Alaattin Mulvey, Christine |
AuthorAffiliation | Glasgow University, United Kingdom 1 Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America 2 Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America 3 Division of Otolaryngology–Head and Neck Surgery, Duke University Medical Center, Durham, North Carolina, United States of America 4 Section of Otolaryngology–Head and Neck Surgery, Veterans Administration Medical Center, Durham, North Carolina, United States of America |
AuthorAffiliation_xml | – name: 2 Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America – name: 3 Division of Otolaryngology–Head and Neck Surgery, Duke University Medical Center, Durham, North Carolina, United States of America – name: Glasgow University, United Kingdom – name: 1 Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America – name: 4 Section of Otolaryngology–Head and Neck Surgery, Veterans Administration Medical Center, Durham, North Carolina, United States of America |
Author_xml | – sequence: 1 givenname: Fangyao surname: Hu fullname: Hu, Fangyao organization: Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America – sequence: 2 givenname: Karthik surname: Vishwanath fullname: Vishwanath, Karthik organization: Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America – sequence: 3 givenname: Justin surname: Lo fullname: Lo, Justin organization: Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America – sequence: 4 givenname: Alaattin surname: Erkanli fullname: Erkanli, Alaattin organization: Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America – sequence: 5 givenname: Christine surname: Mulvey fullname: Mulvey, Christine organization: Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America – sequence: 6 givenname: Walter T surname: Lee fullname: Lee, Walter T organization: Division of Otolaryngology-Head and Neck Surgery, Duke University Medical Center, Durham, North Carolina, United States of America ; Section of Otolaryngology-Head and Neck Surgery, Veterans Administration Medical Center, Durham, North Carolina, United States of America – sequence: 7 givenname: Nimmi surname: Ramanujam fullname: Ramanujam, Nimmi organization: Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America |
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CitedBy_id | crossref_primary_10_1016_j_ijrobp_2016_06_007 crossref_primary_10_1117_1_JBO_23_5_057004 crossref_primary_10_1364_BOE_495721 crossref_primary_10_1364_OSAC_410807 crossref_primary_10_1117_1_JBO_19_10_105004 crossref_primary_10_1364_BOE_7_003247 crossref_primary_10_1097_MD_0000000000011721 crossref_primary_10_1007_s10103_015_1765_y crossref_primary_10_3233_CBM_170050 crossref_primary_10_3390_curroncol30030208 crossref_primary_10_1007_s00606_018_1529_9 |
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Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 Competing Interests: The authors have declared that no competing interests exist. Conceived and designed the experiments: FH KV NR. Performed the experiments: FH. Analyzed the data: FH. Contributed reagents/materials/analysis tools: FH KV AE. Wrote the paper: FH KV JL AE CM WL NR. |
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SubjectTerms | Algorithms Anemia Biology Biomedical engineering Biopsy Breast Neoplasms - blood supply Breast Neoplasms - diagnosis Breast Neoplasms - metabolism Cancer Cancer therapies Cervical cancer Cervical Intraepithelial Neoplasia - blood supply Cervical Intraepithelial Neoplasia - diagnosis Cervical Intraepithelial Neoplasia - metabolism Computer Simulation Diagnosis Early Detection of Cancer - methods Empirical analysis Engineering Estimation Female Head and neck Head and Neck Neoplasms - blood supply Head and Neck Neoplasms - diagnosis Head and Neck Neoplasms - metabolism Hemoglobin Hemoglobins - analysis Humans Imaging systems Linear equations Mathematical models Medical diagnosis Medical prognosis Medical screening Mimicry Monte Carlo simulation Morphology Neoplasms - blood supply Neoplasms - diagnosis Neoplasms - metabolism Neovascularization, Pathologic - diagnosis Neovascularization, Pathologic - metabolism Nonlinear equations Oncology Optical properties Optics Otolaryngology Oxygen Oxygen - metabolism Oxygen Consumption - physiology Oxygen content Oxygen saturation Phantoms, Imaging Physics Physiology Radiation therapy Radiometry - instrumentation Radiometry - methods Reflectance Saturation Spectra Spectrum analysis Tissue analysis Tissues Uterine Cervical Neoplasms - blood supply Uterine Cervical Neoplasms - diagnosis Uterine Cervical Neoplasms - metabolism |
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Title | Rapid determination of oxygen saturation and vascularity for cancer detection |
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