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Lee SY, Pakela JM, Na K, Shi J, McKenna BJ, Simeone DM, Yoon E, Scheiman JM, Mycek MA. Needle-compatible miniaturized optoelectronic sensor for pancreatic cancer detection. SCIENCE ADVANCES 2020; 6:eabc1746. [PMID: 33219025 PMCID: PMC7679167 DOI: 10.1126/sciadv.abc1746] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 10/07/2020] [Indexed: 06/11/2023]
Abstract
Pancreatic cancer is one of the deadliest cancers, with a 5-year survival rate of <10%. The current approach to confirming a tissue diagnosis, endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA), requires a time-consuming, qualitative cytology analysis and may be limited because of sampling error. We designed and engineered a miniaturized optoelectronic sensor to assist in situ, real-time, and objective evaluation of human pancreatic tissues during EUS-FNA. A proof-of-concept prototype sensor, compatible with a 19-gauge hollow-needle commercially available for EUS-FNA, was constructed using microsized optoelectronic chips and microfabrication techniques to perform multisite tissue optical sensing. In our bench-top verification and pilot validation during surgery on freshly excised human pancreatic tissues (four patients), the fabricated sensors showed a comparable performance to our previous fiber-based system. The flexibility in source-detector configuration using microsized chips potentially allows for various light-based sensing techniques inside a confined channel such as a hollow needle or endoscopy.
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Affiliation(s)
- Seung Yup Lee
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Julia M Pakela
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kyounghwan Na
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jiaqi Shi
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Barbara J McKenna
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Diane M Simeone
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Euisik Yoon
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA
| | - James M Scheiman
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Mary-Ann Mycek
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109, USA
- Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
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Clancy NT, Gurusamy K, Jones G, Davidson B, Clarkson MJ, Hawkes DJ, Stoyanov D. Spectral Imaging Of Thermal Damage Induced During Microwave Ablation In The Liver. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2019; 2018:3001-3004. [PMID: 30441029 DOI: 10.1109/embc.2018.8512901] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Induction of thermal damage to tissue through delivery of microwave energy is frequently applied in surgery to destroy diseased tissue such as cancer cells. Minimization of unwanted harm to healthy tissue is still achieved subjectively, and the surgeon has few tools at their disposal to monitor the spread of the induced damage. This work describes the use of optical methods to monitor the time course of changes to the tissue during delivery of microwave energy in the porcine liver. Multispectral imaging and diffuse reflectance spectroscopy are used to monitor temporal changes in optical properties in parallel with thermal imaging. The results demonstrate the ability to monitor the spatial extent of thermal damage on a whole organ, including possible secondary effects due to vascular damage. Future applications of this type of imaging may see the multispectral data used as a feedback mechanism to avoid collateral damage to critical healthy structures and to potentially verify sufficient application of energy to the diseased tissue.
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Piao D, Patel S. Simple empirical master-slave dual-source configuration within the diffusion approximation enhances modeling of spatially resolved diffuse reflectance at short-path and with low-scattering from a semi-infinite homogeneous medium: erratum. APPLIED OPTICS 2018. [PMID: 30462064 DOI: 10.1364/ao.56.001447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
We correct one typographical error of three equations in Appl. Opt.56, 1447 (2017)APOPAI0003-693510.1364/AO.56.001447.
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A Method for Medical Diagnosis Based on Optical Fluence Rate Distribution at Tissue Surface. MATERIALS 2017; 10:ma10091104. [PMID: 28930158 PMCID: PMC5615757 DOI: 10.3390/ma10091104] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 09/10/2017] [Accepted: 09/17/2017] [Indexed: 11/17/2022]
Abstract
Optical differentiation is a promising tool in biomedical diagnosis mainly because of its safety. The optical parameters’ values of biological tissues differ according to the histopathology of the tissue and hence could be used for differentiation. The optical fluence rate distribution on tissue boundaries depends on the optical parameters. So, providing image displays of such distributions can provide a visual means of biomedical diagnosis. In this work, an experimental setup was implemented to measure the spatially-resolved steady state diffuse reflectance and transmittance of native and coagulated chicken liver and native and boiled breast chicken skin at 635 and 808 nm wavelengths laser irradiation. With the measured values, the optical parameters of the samples were calculated in vitro using a combination of modified Kubelka-Munk model and Bouguer-Beer-Lambert law. The estimated optical parameters values were substituted in the diffusion equation to simulate the fluence rate at the tissue surface using the finite element method. Results were verified with Monte-Carlo simulation. The results obtained showed that the diffuse reflectance curves and fluence rate distribution images can provide discrimination tools between different tissue types and hence can be used for biomedical diagnosis.
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Abstract
OBJECTIVES Current pancreatic cancer diagnostics cannot reliably detect early disease or distinguish it from chronic pancreatitis. We test the hypothesis that optical spectroscopy can accurately differentiate cancer from chronic pancreatitis and normal pancreas. We developed and tested clinically compatible multimodal optical spectroscopy technology to measure reflectance and endogenous fluorescence from human pancreatic tissues. METHODS Freshly excised pancreatic tissue specimens (39 normal, 34 chronic pancreatitis, 32 adenocarcinoma) from 18 patients were optically interrogated, with site-specific histopathology representing the criterion standard. A multinomial logistic model using principal component analysis and generalized estimating equations provided statistically rigorous tissue classification. RESULTS Optical spectroscopy distinguished pancreatic cancer from normal pancreas and chronic pancreatitis (sensitivity, 91%; specificity, 82%; positive predictive value, 69%; negative predictive value, 95%; area under receiver operating characteristic curve, 0.89). Reflectance alone provided essentially the same classification accuracy as reflectance and fluorescence combined, suggesting that a rapid, low-cost, reduced-footprint, reflectance-based device could be deployed without notable loss of diagnostic power. CONCLUSIONS Our novel, clinically compatible, label-free optical diagnostic technology accurately characterizes pancreatic tissues. These data provide the scientific foundation demonstrating that optical spectroscopy can potentially improve diagnosis of pancreatic cancer and chronic pancreatitis.
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Agarwal S, Lloyd WR, Loder SJ, Chung MT, Hwang C, Morris MD, Levi B. Combined reflectance and Raman spectroscopy to assess degree of in vivo angiogenesis after tissue injury. J Surg Res 2016; 209:174-177. [PMID: 28032556 DOI: 10.1016/j.jss.2016.09.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 08/27/2016] [Accepted: 09/09/2016] [Indexed: 11/18/2022]
Abstract
BACKGROUND Angiogenesis, the formation of blood vessels, is a critical aspect of wound healing. Disorders of wound healing are often characterized by lack of angiogenesis, a condition frequently observed in aging and diabetic patients. Current techniques for assessing blood at injury sites are limited to contrast-imaging, including angiography. However, these techniques do not directly observe oxygenation of blood and are not amenable to serial evaluation. A multimodal noninvasive reflectance and Raman spectrometer have been proposed to help clinicians as a point-of-care tool to interrogate local angiogenesis and tissue architecture, respectively. The spectrometer system is a rapid, noninvasive, and label-free technology well-suited for the clinical environment. MATERIALS AND METHODS To demonstrate feasibility, the spectrometer system was used to interrogate angiogenesis serially over 9 wk as a result of heterotopic ossification (HO) development in a validated murine model. End-stage HO was confirmed by micro-computed tomography. RESULTS Our preliminary results suggest that reflectance spectroscopy can be used to delineate vessel formation and that pathologic wounds may be characterized by unique spectra. In our model, HO formed at sites 1-3, whereas sites 4 and 5 did not have radiographic evidence of HO. CONCLUSIONS A point-of-care system like that demonstrated here shows potential as a noninvasive tool to assess local angiogenesis and tissue architecture that may allow for timely intervention in a clinical setting.
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Affiliation(s)
- Shailesh Agarwal
- Department of Surgery, University of Michigan, Ann Arbor, Michigan
| | - William R Lloyd
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan
| | - Shawn J Loder
- Department of Surgery, University of Michigan, Ann Arbor, Michigan
| | - Michael T Chung
- Department of Surgery, University of Michigan, Ann Arbor, Michigan
| | - Charles Hwang
- Department of Surgery, University of Michigan, Ann Arbor, Michigan
| | - Michael D Morris
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan.
| | - Benjamin Levi
- Department of Surgery, University of Michigan, Ann Arbor, Michigan.
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Lloyd WR, Wilson RH, Lee SY, Chandra M, McKenna B, Simeone D, Scheiman J, Mycek MA. In vivo optical spectroscopy for improved detection of pancreatic adenocarcinoma: a feasibility study. BIOMEDICAL OPTICS EXPRESS 2013; 5:9-15. [PMID: 24466472 PMCID: PMC3891348 DOI: 10.1364/boe.5.000009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2013] [Revised: 10/24/2013] [Accepted: 11/19/2013] [Indexed: 05/16/2023]
Abstract
Pancreatic adenocarcinoma has a five-year survival rate of less than 6%. This low survival rate is attributed to the lack of accurate detection methods, which limits diagnosis to late-stage disease. Here, an in vivo pilot study assesses the feasibility of optical spectroscopy to improve clinical detection of pancreatic adenocarcinoma. During surgery on 6 patients, we collected spectrally-resolved reflectance and fluorescence in vivo. Site-matched in vivo and ex vivo data agreed qualitatively and quantitatively. Quantified differences between adenocarcinoma and normal tissues in vivo were consistent with previous results from a large ex vivo data set. Thus, optical spectroscopy is a promising method for the improved diagnosis of pancreatic cancer in vivo.
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Affiliation(s)
- William R. Lloyd
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA
| | - Robert H. Wilson
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA
| | - Seung Yup Lee
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA
| | - Malavika Chandra
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA
| | - Barbara McKenna
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109-0602, USA
| | - Diane Simeone
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109-5331, USA
| | - James Scheiman
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109-0362, USA
- Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109-0944, USA
| | - Mary-Ann Mycek
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA
- Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109-0944, USA
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Lee SY, Lloyd WR, Chandra M, Wilson RH, McKenna B, Simeone D, Scheiman J, Mycek MA. Characterizing human pancreatic cancer precursor using quantitative tissue optical spectroscopy. BIOMEDICAL OPTICS EXPRESS 2013; 4:2828-34. [PMID: 24409383 PMCID: PMC3862164 DOI: 10.1364/boe.4.002828] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Revised: 09/29/2013] [Accepted: 10/31/2013] [Indexed: 05/20/2023]
Abstract
In a pilot study, multimodal optical spectroscopy coupled with quantitative tissue-optics models distinguished intraductal papillary mucinous neoplasm (IPMN), a common precursor to pancreatic cancer, from normal tissues in freshly excised human pancreas. A photon-tissue interaction (PTI) model extracted parameters associated with cellular nuclear size and refractive index (from reflectance spectra) and extracellular collagen content (from fluorescence spectra). The results suggest that tissue optical spectroscopy has the potential to characterize pre-cancerous neoplasms in human pancreatic tissues.
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Affiliation(s)
- Seung Yup Lee
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA
| | - William R. Lloyd
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA
| | - Malavika Chandra
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA
| | - Robert H. Wilson
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA
| | - Barbara McKenna
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109-0602, USA
| | - Diane Simeone
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109-5331, USA
| | - James Scheiman
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109-0362, USA
- Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109-0944, USA
| | - Mary-Ann Mycek
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA
- Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109-0944, USA
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Hu W, Zhao G, Wang C, Zhang J, Fu L. Nonlinear optical microscopy for histology of fresh normal and cancerous pancreatic tissues. PLoS One 2012; 7:e37962. [PMID: 22655087 PMCID: PMC3360059 DOI: 10.1371/journal.pone.0037962] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2012] [Accepted: 04/26/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Pancreatic cancer is a lethal disease with a 5-year survival rate of only 1-5%. The acceleration of intraoperative histological examination would be beneficial for better management of pancreatic cancer, suggesting an improved survival. Nonlinear optical methods based on two-photon excited fluorescence (TPEF) and second harmonic generation (SHG) of intrinsic optical biomarkers show the ability to visualize the morphology of fresh tissues associated with histology, which is promising for real-time intraoperative evaluation of pancreatic cancer. METHODOLOGY/PRINCIPAL FINDINGS In order to investigate whether the nonlinear optical imaging methods have the ability to characterize pancreatic histology at cellular resolution, we studied different types of pancreatic tissues by using label-free TPEF and SHG. Compared with other routine methods for the preparation of specimens, fresh tissues without processing were found to be most suitable for nonlinear optical imaging of pancreatic tissues. The detailed morphology of the normal rat pancreas was observed and related with the standard histological images. Comparatively speaking, the preliminary images of a small number of chemical-induced pancreatic cancer tissues showed visible neoplastic differences in the morphology of cells and extracellular matrix. The subcutaneous pancreatic tumor xenografts were further observed using the nonlinear optical microscopy, showing that most cells are leucocytes at 5 days after implantation, the tumor cells begin to proliferate at 10 days after implantation, and the extracellular collagen fibers become disordered as the xenografts grow. CONCLUSIONS/SIGNIFICANCE In this study, nonlinear optical imaging was used to characterize the morphological details of fresh pancreatic tissues for the first time. We demonstrate that it is possible to provide real-time histological evaluation of pancreatic cancer by the nonlinear optical methods, which present an opportunity for the characterization of the progress of spontaneous pancreatic cancer and further application in a non-invasive manner.
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Affiliation(s)
- Wenyan Hu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, People's Republic of China
- Key Laboratory of Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Zhao
- Pancreatic Surgery Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Chunyou Wang
- Pancreatic Surgery Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Jungang Zhang
- Pancreatic Surgery Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Ling Fu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, People's Republic of China
- Key Laboratory of Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology, Wuhan, China
- * E-mail:
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Wilson RH, Mycek MA. Models of light propagation in human tissue applied to cancer diagnostics. Technol Cancer Res Treat 2011; 10:121-34. [PMID: 21381790 DOI: 10.7785/tcrt.2012.500187] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Optical methods such as reflectance and fluorescence spectroscopy are being investigated for their potential to aid cancer detection in a quantitative, minimally invasive manner. Mathematical models of reflectance and fluorescence provide an important link between measured optical data and biomedically-relevant tissue parameters that can be extracted from these data to characterize the presence or absence of disease. The most commonly-used mathematical models in biomedical optics are the diffusion approximation (DA) to the radiative transfer equation, Monte Carlo (MC) computational models of light transport, and semi-empirical models. This paper presents a review of the applications of these models to reflectance and endogenous fluorescence sensing for cancer diagnostics in human tissues. Specific examples are given for cervical, breast, and pancreatic tissues. A comparison of the DA and MC methods in two biologically-relevant regimes of optical parameter space will also be discussed.
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Affiliation(s)
- R H Wilson
- Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA
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