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Shanthakumar D, Leiloglou M, Kelliher C, Darzi A, Elson DS, Leff DR. A Comparison of Spectroscopy and Imaging Techniques Utilizing Spectrally Resolved Diffusely Reflected Light for Intraoperative Margin Assessment in Breast-Conserving Surgery: A Systematic Review and Meta-Analysis. Cancers (Basel) 2023; 15:cancers15112884. [PMID: 37296847 DOI: 10.3390/cancers15112884] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 06/12/2023] Open
Abstract
Up to 19% of patients require re-excision surgery due to positive margins in breast-conserving surgery (BCS). Intraoperative margin assessment tools (IMAs) that incorporate tissue optical measurements could help reduce re-excision rates. This review focuses on methods that use and assess spectrally resolved diffusely reflected light for breast cancer detection in the intraoperative setting. Following PROSPERO registration (CRD42022356216), an electronic search was performed. The modalities searched for were diffuse reflectance spectroscopy (DRS), multispectral imaging (MSI), hyperspectral imaging (HSI), and spatial frequency domain imaging (SFDI). The inclusion criteria encompassed studies of human in vivo or ex vivo breast tissues, which presented data on accuracy. The exclusion criteria were contrast use, frozen samples, and other imaging adjuncts. 19 studies were selected following PRISMA guidelines. Studies were divided into point-based (spectroscopy) or whole field-of-view (imaging) techniques. A fixed-or random-effects model analysis generated pooled sensitivity/specificity for the different modalities, following heterogeneity calculations using the Q statistic. Overall, imaging-based techniques had better pooled sensitivity/specificity (0.90 (CI 0.76-1.03)/0.92 (CI 0.78-1.06)) compared with probe-based techniques (0.84 (CI 0.78-0.89)/0.85 (CI 0.79-0.91)). The use of spectrally resolved diffusely reflected light is a rapid, non-contact technique that confers accuracy in discriminating between normal and malignant breast tissue, and it constitutes a potential IMA tool.
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Affiliation(s)
- Dhurka Shanthakumar
- Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK
- The Hamlyn Centre, Imperial College London, London SW7 2AZ, UK
| | - Maria Leiloglou
- Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK
- The Hamlyn Centre, Imperial College London, London SW7 2AZ, UK
| | - Colm Kelliher
- Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK
| | - Ara Darzi
- Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK
- The Hamlyn Centre, Imperial College London, London SW7 2AZ, UK
| | - Daniel S Elson
- Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK
- The Hamlyn Centre, Imperial College London, London SW7 2AZ, UK
| | - Daniel R Leff
- Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK
- The Hamlyn Centre, Imperial College London, London SW7 2AZ, UK
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Wang Y, Kang X, Zhang Y, Shi Z, Ren H, Wang Q, Chen M, Zhang Y. Wavelength and frequency optimization in spatial frequency domain imaging for two-layer tissue. BIOMEDICAL OPTICS EXPRESS 2022; 13:3224-3242. [PMID: 35781948 PMCID: PMC9208585 DOI: 10.1364/boe.455386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/19/2022] [Accepted: 04/11/2022] [Indexed: 06/15/2023]
Abstract
Spatial frequency domain imaging is a non-contact, wide-field, fast-diffusion optical imaging technique, which in principle uses steady-state spatially modulated light to irradiate biological tissue, reconstruct two-dimensional or three-dimensional tissue optical characteristic map through optical transmission model, and further quantify the spatial distribution of tissue physiological parameters by multispectral imaging technique. The selection of light source wavelength and light field spatial modulation frequency is directly related to the accuracy of tissue optical properties and tissue physiological parameters extraction. For improvement of the measurement accuracy of optical properties and physiological parameters in the two-layer tissue, a multispectral spatial frequency domain imaging system is built based on liquid crystal tunable filter, and a data mapping table of spatially resolved diffuse reflectance and optical properties of two-layer tissue is established based on scaling Monte Carlo method. Combined with the dispersion effect and window effect of light-tissue interaction, the study applies numerical simulation to optimize the wavelength in the 650-850 nm range with spectral resolution of 10 nm. In order to minimize the uncertainty of the optical properties, Cramér-Rao bound is used to optimize the optical field spatial modulation frequency by transmitting the uncertainty of optical properties. The results showed that in order to realize the detection of melanin, oxyhemoglobin, deoxyhemoglobin, water and other physiological parameters in two-layer tissue, the best wavelength combination was determined as 720, 730, 760 and 810 nm according to the condition number. The findings of the Cramér-Rao bound analysis reveal that the uncertainty of optical characteristics for the frequency combinations [0, 0.3] mm-1, [0, 0.2] mm-1, and [0, 0.1] mm-1 increases successively. Under the optimal combination of wavelength and frequency, the diffuse reflectance of the gradient gray-scale plate measured by the multi-spectral spatial frequency domain imaging system is linearly correlated with the calibration value. The error between the measured liquid phantom absorption coefficient and the collimation projection system based on colorimetric dish is less than 2%. The experimental results of human brachial artery occlusion indicate that under the optimal wavelength combination, the change of the second layer absorption coefficient captured by the three frequency combinations decreases in turn, so as the change of oxygen saturation.
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Affiliation(s)
- Yikun Wang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei 230031, China
- These authors contributed equally to this work and should be considered co-first authors
| | - Xu Kang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei 230031, China
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China
- These authors contributed equally to this work and should be considered co-first authors
| | - Yang Zhang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei 230031, China
| | - Zhiguo Shi
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei 230031, China
- School of Biomedical Engineering, Anhui Medical University, Hefei 230009, China
| | - Huiming Ren
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei 230031, China
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China
| | - Quanfu Wang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei 230031, China
| | - Mingwei Chen
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yuanzhi Zhang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei 230031, China
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Dolganova IN, Varvina DA, Shikunova IA, Alekseeva AI, Karalkin PA, Kuznetsov MR, Nikitin PV, Zotov AK, Mukhina EE, Katyba GM, Zaytsev KI, Tuchin VV, Kurlov VN. Proof of concept for the sapphire scalpel combining tissue dissection and optical diagnosis. Lasers Surg Med 2021; 54:611-622. [PMID: 34918347 DOI: 10.1002/lsm.23509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/18/2021] [Accepted: 11/27/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVES The development of compact diagnostic probes and instruments with an ability to direct access to organs and tissues and integration of these instruments into surgical workflows is an important task of modern physics and medicine. The need for such tools is essential for surgical oncology, where intraoperative visualization and demarcation of tumor margins define further prognosis and survival of patients. In this paper, the possible solution for this intraoperative imaging problem is proposed and its feasibility to detect tumorous tissue is studied experimentally. METHODS For this aim, the sapphire scalpel was developed and fabricated using the edge-defined film-fed growth technique aided by mechanical grinding, polishing, and chemical sharpening of the cutting edge. It possesses optical transparency, mechanical strength, chemical inertness, and thermal resistance alongside the presence of the as-grown hollow capillary channels in its volume for accommodating optical fibers. The rounding of the cutting edge exceeds the same for metal scalpels and can be as small as 110 nm. Thanks to these features, sapphire scalpel combines tissue dissection with light delivering and optical diagnosis. The feasibility for the tumor margin detection was studied, including both gelatin-based tissue phantoms and ex vivo freshly excised specimens of the basal cell carcinoma from humans and the glioma model 101.8 from rats. These tumors are commonly diagnosed either non-invasively or intraoperatively using different modalities of fluorescence spectroscopy and imaging, which makes them ideal candidates for our feasibility test. For this purpose, fiber-based spectroscopic measurements of the backscattered laser radiation and the fluorescence signals were carried out in the visible range. RESULTS Experimental studies show the feasibility of the proposed sapphire scalpel to provide a 2-mm-resolution of the tumor margins' detection, along with an ability to distinguish the tumor invasion region, which results from analysis of the backscattered optical fields and the endogenous or exogenous fluorescence data. CONCLUSIONS Our findings justified a strong potential of the sapphire scalpel for surgical oncology. However, further research and engineering efforts are required to optimize the sapphire scalpel geometry and the optical diagnosis protocols to meet the requirements of oncosurgery, including diagnosis and resection of neoplasms with different localizations and nosologies.
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Affiliation(s)
- Irina N Dolganova
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia.,Institute for Regenerative Medicine, Sechenov University, Moscow, Russia.,Bauman Moscow State Technical University, Moscow, Russia
| | - Daria A Varvina
- Institute for Regenerative Medicine, Sechenov University, Moscow, Russia.,International School "Medicine of the Future", Sechenov University, Moscow, Russia
| | - Irina A Shikunova
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia
| | - Anna I Alekseeva
- Institute for Regenerative Medicine, Sechenov University, Moscow, Russia.,Research Institute of Human Morphology, Moscow, Russia
| | - Pavel A Karalkin
- Institute for Cluster Oncology, Sechenov University, Moscow, Russia.,Hertsen Moscow Oncology Research Institute, National Medical Research Radiological Centre, Moscow, Russia
| | | | - Pavel V Nikitin
- Institute for Regenerative Medicine, Sechenov University, Moscow, Russia
| | - Arsen K Zotov
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia.,Bauman Moscow State Technical University, Moscow, Russia.,Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | | | - Gleb M Katyba
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia.,Bauman Moscow State Technical University, Moscow, Russia.,Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Kirill I Zaytsev
- Institute for Regenerative Medicine, Sechenov University, Moscow, Russia.,Bauman Moscow State Technical University, Moscow, Russia.,Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Valery V Tuchin
- Science Medical Center, Saratov State University, Saratov, Russia.,Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Saratov, Russia.,National Research Tomsk University, Tomsk, Russia
| | - Vladimir N Kurlov
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia.,Institute for Regenerative Medicine, Sechenov University, Moscow, Russia.,Bauman Moscow State Technical University, Moscow, Russia
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4
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Developing diagnostic assessment of breast lumpectomy tissues using radiomic and optical signatures. Sci Rep 2021; 11:21832. [PMID: 34750471 PMCID: PMC8575781 DOI: 10.1038/s41598-021-01414-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 10/28/2021] [Indexed: 02/07/2023] Open
Abstract
High positive margin rates in oncologic breast-conserving surgery are a pressing clinical problem. Volumetric X-ray scanning is emerging as a powerful ex vivo specimen imaging technique for analyzing resection margins, but X-rays lack contrast between non-malignant and malignant fibrous tissues. In this study, combined micro-CT and wide-field optical image radiomics were developed to classify malignancy of breast cancer tissues, demonstrating that X-ray/optical radiomics improve malignancy classification. Ninety-two standardized features were extracted from co-registered micro-CT and optical spatial frequency domain imaging samples extracted from 54 breast tumors exhibiting seven tissue subtypes confirmed by microscopic histological analysis. Multimodal feature sets improved classification performance versus micro-CT alone when adipose samples were included (AUC = 0.88 vs. 0.90; p-value = 3.65e-11) and excluded, focusing the classification task on exclusively non-malignant fibrous versus malignant tissues (AUC = 0.78 vs. 0.85; p-value = 9.33e-14). Extending the radiomics approach to high-dimensional optical data-termed "optomics" in this study-offers a promising optical image analysis technique for cancer detection. Radiomic feature data and classification source code are publicly available.
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5
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Stier AC, Goth W, Hurley A, Brown T, Feng X, Zhang Y, Lopes FCPS, Sebastian KR, Ren P, Fox MC, Reichenberg JS, Markey MK, Tunnell JW. Imaging sub-diffuse optical properties of cancerous and normal skin tissue using machine learning-aided spatial frequency domain imaging. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210048RR. [PMID: 34558235 PMCID: PMC8459901 DOI: 10.1117/1.jbo.26.9.096007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 08/27/2021] [Indexed: 05/28/2023]
Abstract
SIGNIFICANCE Sub-diffuse optical properties may serve as useful cancer biomarkers, and wide-field heatmaps of these properties could aid physicians in identifying cancerous tissue. Sub-diffuse spatial frequency domain imaging (sd-SFDI) can reveal such wide-field maps, but the current time cost of experimentally validated methods for rendering these heatmaps precludes this technology from potential real-time applications. AIM Our study renders heatmaps of sub-diffuse optical properties from experimental sd-SFDI images in real time and reports these properties for cancerous and normal skin tissue subtypes. APPROACH A phase function sampling method was used to simulate sd-SFDI spectra over a wide range of optical properties. A machine learning model trained on these simulations and tested on tissue phantoms was used to render sub-diffuse optical property heatmaps from sd-SFDI images of cancerous and normal skin tissue. RESULTS The model accurately rendered heatmaps from experimental sd-SFDI images in real time. In addition, heatmaps of a small number of tissue samples are presented to inform hypotheses on sub-diffuse optical property differences across skin tissue subtypes. CONCLUSION These results bring the overall process of sd-SFDI a fundamental step closer to real-time speeds and set a foundation for future real-time medical applications of sd-SFDI such as image guided surgery.
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Affiliation(s)
- Andrew C. Stier
- The University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, Texas, United States
| | - Will Goth
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
| | - Aislinn Hurley
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
| | - Treshayla Brown
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
| | - Xu Feng
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
| | - Yao Zhang
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
| | - Fabiana C. P. S. Lopes
- The University of Texas at Austin, Dell Medical School, Department of Internal Medicine, Austin, Texas, United States
| | - Katherine R. Sebastian
- The University of Texas at Austin, Dell Medical School, Department of Internal Medicine, Austin, Texas, United States
| | - Pengyu Ren
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
| | - Matthew C. Fox
- The University of Texas at Austin, Dell Medical School, Department of Internal Medicine, Austin, Texas, United States
| | - Jason S. Reichenberg
- The University of Texas at Austin, Dell Medical School, Department of Internal Medicine, Austin, Texas, United States
| | - Mia K. Markey
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
- The University of Texas MD Anderson Cancer Center, Imaging Physics Residency Program, Houston, Texas, United States
| | - James W. Tunnell
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
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6
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Applegate MB, Spink SS, Roblyer D. Dual-DMD hyperspectral spatial frequency domain imaging (SFDI) using dispersed broadband illumination with a demonstration of blood stain spectral monitoring. BIOMEDICAL OPTICS EXPRESS 2021; 12:676-688. [PMID: 33520393 PMCID: PMC7818964 DOI: 10.1364/boe.411976] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 12/17/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
Spatial frequency domain imaging (SFDI) is a widefield diffuse optical measurement technique capable of generating 2D maps of sub-surface absorption and scattering in biological tissue. We developed a new hyperspectral SFDI instrument capable of collecting images at wavelengths from the visible to the near infrared. The system utilizes a custom-built monochromator with a digital micromirror device (DMD) that can dynamically select illumination wavelength bands from a broadband quartz tungsten halogen lamp, and a second DMD to provide spatially modulated sample illumination. The system is capable of imaging 10 wavelength bands in approximately 25 seconds. The spectral resolution can be varied from 12 to 30 nm by tuning the input slit width and the output DMD column width. We compared the optical property extraction accuracy between the new device and a commercial SFDI system and found an average error of 23% in absorption and 6% in scattering. The system was highly stable, with less than 5% variation in absorption and less than 0.2% variation in scattering across all wavelengths over two hours. The system was used to monitor hyperspectral changes in the optical absorption and reduced scattering spectra of blood exposed to air over 24 hours. This served as a general demonstration of the utility of this system, and points to a potential application for blood stain age estimation. We noted significant changes in both absorption and reduced scattering spectra over multiple discrete stages of aging. To our knowledge, these are the first measurement of changes in scattering of blood stains. This hyperspectral SFDI system holds promise for a multitude of applications in quantitative tissue and diffuse sample imaging.
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Affiliation(s)
- Matthew B. Applegate
- Boston University, Dept. of Biomedical Engineering, Boston, MA 02215, USA
- Authors contributed equally to this work
| | - Samuel S. Spink
- Boston University, Dept. of Biomedical Engineering, Boston, MA 02215, USA
- Authors contributed equally to this work
| | - Darren Roblyer
- Boston University, Dept. of Biomedical Engineering, Boston, MA 02215, USA
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Balasundaram G, Krafft C, Zhang R, Dev K, Bi R, Moothanchery M, Popp J, Olivo M. Biophotonic technologies for assessment of breast tumor surgical margins-A review. JOURNAL OF BIOPHOTONICS 2021; 14:e202000280. [PMID: 32951321 DOI: 10.1002/jbio.202000280] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 06/11/2023]
Abstract
Breast conserving surgery (BCS) offering similar surgical outcomes as mastectomy while retaining breast cosmesis is becoming increasingly popular for the management of early stage breast cancers. However, its association with reoperation rates of 20% to 40% following incomplete tumor removal warrants the need for a fast and accurate intraoperative surgical margin assessment tool that offers cellular, structural and molecular information of the whole specimen surface to a clinically relevant depth. Biophotonic technologies are evolving to qualify as such an intraoperative tool for clinical assessment of breast cancer surgical margins at the microscopic and macroscopic scale. Herein, we review the current research in the application of biophotonic technologies such as photoacoustic imaging, Raman spectroscopy, multimodal multiphoton imaging, diffuse optical imaging and fluorescence imaging using medically approved dyes for breast cancer detection and/or tumor subtype differentiation toward intraoperative assessment of surgical margins in BCS specimens, and possible challenges in their route to clinical translation.
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Affiliation(s)
- Ghayathri Balasundaram
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | | | - Ruochong Zhang
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kapil Dev
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Renzhe Bi
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Mohesh Moothanchery
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, University Jena, Jena, Germany
| | - Malini Olivo
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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8
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Streeter SS, Maloney BW, McClatchy DM, Jermyn M, Pogue BW, Rizzo EJ, Wells WA, Paulsen KD. Structured light imaging for breast-conserving surgery, part II: texture analysis and classification. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-12. [PMID: 31522486 PMCID: PMC6744928 DOI: 10.1117/1.jbo.24.9.096003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 08/14/2019] [Indexed: 05/08/2023]
Abstract
Subdiffuse spatial frequency domain imaging (sd-SFDI) data of 42 freshly excised, bread-loafed tumor resections from breast-conserving surgery (BCS) were evaluated using texture analysis and a machine learning framework for tissue classification. Resections contained 56 regions of interest (RoIs) determined by expert histopathological analysis. RoIs were coregistered with sd-SFDI data and sampled into ∼4 × 4 mm2 subimage samples of confirmed and homogeneous histological categories. Sd-SFDI reflectance textures were analyzed using gray-level co-occurrence matrix pixel statistics, image primitives, and power spectral density curve parameters. Texture metrics exhibited statistical significance (p-value < 0.05) between three benign and three malignant tissue subtypes. Pairs of benign and malignant subtypes underwent texture-based, binary classification with correlation-based feature selection. Classification performance was evaluated using fivefold cross-validation and feature grid searching. Classification using subdiffuse, monochromatic reflectance (illumination spatial frequency of fx = 1.37 mm − 1, optical wavelength of λ = 490 nm) achieved accuracies ranging from 0.55 (95% CI: 0.41 to 0.69) to 0.95 (95% CI: 0.90 to 1.00) depending on the benign–malignant diagnosis pair. Texture analysis of sd-SFDI data maintains the spatial context within images, is free of light transport model assumptions, and may provide an alternative, computationally efficient approach for wide field-of-view (cm2) BCS tumor margin assessment relative to pixel-based optical scatter or color properties alone.
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Affiliation(s)
- Samuel S. Streeter
- Thayer School of Engineering at Dartmouth, Optics in Medicine, Hanover, New Hampshire, United States
- Address all correspondence to Samuel S. Streeter, E-mail:
| | - Benjamin W. Maloney
- Thayer School of Engineering at Dartmouth, Optics in Medicine, Hanover, New Hampshire, United States
| | - David M. McClatchy
- Thayer School of Engineering at Dartmouth, Optics in Medicine, Hanover, New Hampshire, United States
| | - Michael Jermyn
- Thayer School of Engineering at Dartmouth, Optics in Medicine, Hanover, New Hampshire, United States
| | - Brian W. Pogue
- Thayer School of Engineering at Dartmouth, Optics in Medicine, Hanover, New Hampshire, United States
- Geisel School of Medicine at Dartmouth, Department of Surgery, Hanover, New Hampshire, United States
- Geisel School of Medicine at Dartmouth, Department of Pathology, Hanover, New Hampshire, United States
| | - Elizabeth J. Rizzo
- Geisel School of Medicine at Dartmouth, Department of Pathology, Hanover, New Hampshire, United States
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States
| | - Wendy A. Wells
- Geisel School of Medicine at Dartmouth, Department of Pathology, Hanover, New Hampshire, United States
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States
| | - Keith D. Paulsen
- Thayer School of Engineering at Dartmouth, Optics in Medicine, Hanover, New Hampshire, United States
- Geisel School of Medicine at Dartmouth, Department of Surgery, Hanover, New Hampshire, United States
- Geisel School of Medicine at Dartmouth, Department of Pathology, Hanover, New Hampshire, United States
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Gioux S, Mazhar A, Durkin AJ, Tromberg BJ, Cuccia DJ. Special Section Guest Editorial: Special Section on Spatial Frequency Domain Imaging. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-2. [PMID: 31325251 PMCID: PMC6995872 DOI: 10.1117/1.jbo.24.7.071601] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
This guest editorial introduces the Special Section on Spatial Frequency Domain Imaging.
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Affiliation(s)
- Sylvain Gioux
- University of StrasbourgiCube LaboratoryStrasbourg, France
| | | | - Anthony J Durkin
- Beckman Laser Institute and Medical ClinicUniversity of California, Irvine, United States
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10
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Gioux S, Mazhar A, Cuccia DJ. Spatial frequency domain imaging in 2019: principles, applications, and perspectives. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-18. [PMID: 31222987 PMCID: PMC6995958 DOI: 10.1117/1.jbo.24.7.071613] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 05/09/2019] [Indexed: 05/20/2023]
Abstract
Spatial frequency domain imaging (SFDI) has witnessed very rapid growth over the last decade, owing to its unique capabilities for imaging optical properties and chromophores over a large field-of-view and in a rapid manner. We provide a comprehensive review of the principles of this imaging method as of 2019, review the modeling of light propagation in this domain, describe acquisition methods, provide an understanding of the various implementations and their practical limitations, and finally review applications that have been published in the literature. Importantly, we also introduce a group effort by several key actors in the field for the dissemination of SFDI, including publications, advice in hardware and implementations, and processing code, all freely available online.
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Affiliation(s)
- Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
- Address all correspondence to Sylvain Gioux, E-mail:
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11
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Gioux S, Mazhar A, Cuccia DJ. Spatial frequency domain imaging in 2019: principles, applications, and perspectives. JOURNAL OF BIOMEDICAL OPTICS 2019. [PMID: 31222987 DOI: 10.1117/1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Spatial frequency domain imaging (SFDI) has witnessed very rapid growth over the last decade, owing to its unique capabilities for imaging optical properties and chromophores over a large field-of-view and in a rapid manner. We provide a comprehensive review of the principles of this imaging method as of 2019, review the modeling of light propagation in this domain, describe acquisition methods, provide an understanding of the various implementations and their practical limitations, and finally review applications that have been published in the literature. Importantly, we also introduce a group effort by several key actors in the field for the dissemination of SFDI, including publications, advice in hardware and implementations, and processing code, all freely available online.
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Affiliation(s)
- Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
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Steelman ZA, Ho DS, Chu KK, Wax A. Light scattering methods for tissue diagnosis. OPTICA 2019; 6:479-489. [PMID: 33043100 PMCID: PMC7544148 DOI: 10.1364/optica.6.000479] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Light scattering has become a common biomedical research tool, enabling diagnostic sensitivity to myriad tissue alterations associated with disease. Light-tissue interactions are particularly attractive for diagnostics due to the variety of contrast mechanisms that can be used, including spectral, angle-resolved, and Fourier-domain detection. Photonic diagnostic tools offer further benefit in that they are non-ionizing, non-invasive, and give real-time feedback. In this review, we summarize recent innovations in light scattering technologies, with a focus on clinical achievements over the previous ten years.
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