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Huang K, Liao J, He J, Lai S, Peng Y, Deng Q, Wang H, Liu Y, Peng L, Bai Z, Yu N, Li Y, Jiang Z, Su J, Li J, Tang Y, Chen M, Lu L, Chen X, Yao J, Zhao S. A real-time augmented reality system integrated with artificial intelligence for skin tumor surgery: experimental study and case series. Int J Surg 2024; 110:3294-3306. [PMID: 38549223 PMCID: PMC11175769 DOI: 10.1097/js9.0000000000001371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 03/11/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Skin tumors affect many people worldwide, and surgery is the first treatment choice. Achieving precise preoperative planning and navigation of intraoperative sampling remains a problem and is excessively reliant on the experience of surgeons, especially for Mohs surgery for malignant tumors. MATERIALS AND METHODS To achieve precise preoperative planning and navigation of intraoperative sampling, we developed a real-time augmented reality (AR) surgical system integrated with artificial intelligence (AI) to enhance three functions: AI-assisted tumor boundary segmentation, surgical margin design, and navigation in intraoperative tissue sampling. Non-randomized controlled trials were conducted on manikin, tumor-simulated rabbits, and human volunteers in Hunan Engineering Research Center of Skin Health and Disease Laboratory to evaluate the surgical system. RESULTS The results showed that the accuracy of the benign and malignant tumor segmentation was 0.9556 and 0.9548, respectively, and the average AR navigation mapping error was 0.644 mm. The proposed surgical system was applied in 106 skin tumor surgeries, including intraoperative navigation of sampling in 16 Mohs surgery cases. Surgeons who have used this system highly recognize it. CONCLUSIONS The surgical system highlighted the potential to achieve accurate treatment of skin tumors and to fill the gap in global research on skin tumor surgery systems.
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Affiliation(s)
- Kai Huang
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
- Tencent AI Lab, Shenzhen, People’s Republic of China
| | - Jun Liao
- Tencent AI Lab, Shenzhen, People’s Republic of China
| | - Jishuai He
- Tencent AI Lab, Shenzhen, People’s Republic of China
| | - Sicen Lai
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Yihao Peng
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Qian Deng
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Han Wang
- Tencent AI Lab, Shenzhen, People’s Republic of China
| | - Yuancheng Liu
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Lanyuan Peng
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Ziqi Bai
- Tencent AI Lab, Shenzhen, People’s Republic of China
| | - Nianzhou Yu
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Yixin Li
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Zixi Jiang
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Juan Su
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Jinmao Li
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Yan Tang
- Department of Dermatology
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Mingliang Chen
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Lixia Lu
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Xiang Chen
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
| | - Jianhua Yao
- Tencent AI Lab, Shenzhen, People’s Republic of China
| | - Shuang Zhao
- Department of Dermatology
- Hunan Key Laboratory of Skin Cancer and Psoriasis
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
- Hunan Engineering Research Center of Skin Health and Disease, Central South University
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Hunan
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Wang Z, Chen Y, Pan S, Zhang W, Guo Z, Wang Y, Yang S. Quantitative classification of melasma with photoacoustic microscopy: a pilot study. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11504. [PMID: 37927370 PMCID: PMC10624224 DOI: 10.1117/1.jbo.29.s1.s11504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 10/15/2023] [Accepted: 10/20/2023] [Indexed: 11/07/2023]
Abstract
Significance The classification of melasma is critical for correct clinical diagnosis, treatment selection, and postoperative measures. However, preoperative quantitative determination of melasma type remains challenging using conventional Wood's lamp and optical dermoscopy techniques. Aim Using photoacoustic microscopy (PAM) to simultaneously obtain the two diagnostic indicators of melanin and blood vessels for melasma classification and perform quantitative analysis to finally achieve accurate classification, rather than relying solely on physicians' experience. Approach First, the patients were classified by experienced dermatologists with Wood's lamp and optical dermoscopy. Next, the patients were examined in vivo using the PAM imaging system. Further, the horizontal section images (X - Y plane) of epidermal melanin and dermal vascular involvement were extracted from the 3D photoacoustic imaging results, which are important basis for PAM to quantitatively classify melasma. Results PAM can quantitatively reveal epidermal thickness and dermal vascular morphology in each case and obtain the quantitative diagnostic indicators of melanin and blood vessels. The mean vascular diameter in lesional skin (223.2 μ m ) of epidermal M+V-type was much larger than that in non-lesional skin (131.6 μ m ), and the mean vascular density in lesional skin was more than three times that in non-lesional skin. Importantly, vascular diameter and density are important parameters for distinguishing M type from M+V type. Conclusions PAM can obtain the data of epidermal thickness, pigment depth, subcutaneous vascular diameter, and vascular density, and realize the dual standard quantitative melasma classification by combining the parameters of melanin and blood vessels. In addition, PAM can provide new diagnostic information for uncertain melasma types and further refine the typing.
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Affiliation(s)
- Zhiyang Wang
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
| | - Yuying Chen
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
| | - Shu Pan
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
| | - Wuyu Zhang
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
- Guangdong Photoacoustic Technology Co., Ltd., Foshan, China
| | - Ziwei Guo
- Zhujiang Hospital of Southern Medical University, Department of Plastic Surgery, Guangzhou, China
| | - Yuzhi Wang
- General Hospital of Southern Theater Command, Department of Burns and Plastic Surgery, Guangzhou, China
| | - Sihua Yang
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
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Schnelldorfer T, Gnanatheepam E, Trout R, Gado A, Pelletier JE, Dinh LT, Hunter M, Georgakoudi I. Evaluation of a polarization-enhanced laparoscopy prototype for improved intra-operative visualization of peritoneal metastases. Sci Rep 2023; 13:14892. [PMID: 37689765 PMCID: PMC10492843 DOI: 10.1038/s41598-023-41361-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 08/25/2023] [Indexed: 09/11/2023] Open
Abstract
Despite careful staging, the accuracy for preoperative detection of small distant metastases remains poor, creating a clinical need for enhanced operative staging to detect occult peritoneal metastases. This study evaluates a polarization-enhanced laparoscopy (PEL) prototype and assesses its potential for label-free contrast enhancement of peritoneal metastases. This is a first-in-human feasibility study, including 10 adult patients who underwent standard staging laparoscopy (SSL) for gastrointestinal malignancy along with PEL. Image frames of all detectable peritoneal lesions underwent analysis. Using Monte Carlo simulations, contrast enhancement based on the color dependence of PEL (mPEL) was assessed. The prototype performed safely, yet with limitations in illumination, fogging of the distal window, and image co-registration. Sixty-five lesions (56 presumed benign and 9 presumed malignant) from 3 patients represented the study sample. While most lesions were visible under human examination of both SSL and PEL videos, more lesions were apparent using SSL. However, this was likely due to reduced illumination under PEL. When controlling for such effects through direct comparisons of integrated (WLL) vs differential (PEL) polarization laparoscopy images, we found that PEL imaging yielded an over twofold Weber contrast enhancement over WLL. Further, enhancements in the discrimination between malignant and benign lesions were achieved by exploiting the PEL color contrast to enhance sensitivity to tissue scattering, influenced primarily by collagen. In conclusion, PEL appears safe and easy to integrate into the operating room. When controlling for the degree of illumination, image analysis suggested a potential for mPEL to provide improved visualization of metastases.
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Affiliation(s)
- Thomas Schnelldorfer
- Division of Surgical Oncology, Tufts Medical Center, 800 Washington St, Boston, MA, 02111, USA.
- Department of Translational Research, Lahey Hospital and Medical Center, 31 Mall Road, Burlington, MA, 01805, USA.
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA.
| | - Einstein Gnanatheepam
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
| | - Robert Trout
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Department of Biomedical Engineering, Duke University, 101 Science Drive, Durham, NC, 27708, USA
| | - Ahmed Gado
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Google LLC, San Francisco, CA, 94105-1673, USA
| | - Joyce-Ellen Pelletier
- Department of Translational Research, Lahey Hospital and Medical Center, 31 Mall Road, Burlington, MA, 01805, USA
| | - Long T Dinh
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
| | - Martin Hunter
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Department of Biomedical Engineering, S684 LSL, University of Massachusetts at Amherst, 240 Thatcher Road, Amherst, MA, 01003, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Genetics, Molecular and Cellular Biology Program, Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
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Ma L, Srinivas A, Krishnamurthy A, Zhou X, Shah NS, Obaid G, Fei B. Automated Polarized Hyperspectral Imaging (PHSI) for ex-vivo and in-vivo Tissue Assessment. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2023; 12391:123910F. [PMID: 38476292 PMCID: PMC10932616 DOI: 10.1117/12.2651011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Polarized light interactions with biological tissues can reveal information regarding tissue structure, while spectral characteristics are closely related to tissue composition. An integration of both modalities in a compact system could better assist tissue assessment. This study aims to develop a polarized hyperspectral imaging (PHSI) system that fulfills both linearly and circularly polarized hyperspectral imaging for in vivo and ex vivo applications. The system is comprised of a white LED, two linear polarizers, two liquid crystal variable retarders (LCVRs), and a hyperspectral snapshot camera. The system was calibrated to compute the full Stokes polarimetry. For tissue differentiation, fresh ex vivo mouse tissue specimens from kidney, liver, spleen, muscle, lung, and salivary gland of mice were imaged. The spectra of three features, named degree of polarization (DOP), degree of linear polarization (DOLP), and degree of circular polarization (DOCP), were generated. A k-nearest neighbor (k-NN) classifier was trained with multi-class spectra and 5-fold cross validation. It was found that DOP better differentiates tissue with an average accuracy of 0.87. Additionally, support vector machine (SVM) classifiers were trained to differentiate between each two of the organs, and it was determined that DOLP better identified kidney, liver, and spleen, whereas DOCP better identified muscle and lung tissues. Then, the setup was employed to image in vivo human fingers with and without a blood occlusion to qualitatively estimate oxygen saturation. Preliminary results demonstrate that both DOLP and DOCP reveal a distinction of oxygen saturation states. These results demonstrate the feasibility of the PHSI system for distinguishing between optical properties of tissues, which has the potential to reveal disease-related information for diverse medical applications.
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Affiliation(s)
- Ling Ma
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Akhila Srinivas
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Abirami Krishnamurthy
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Ximing Zhou
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | | | - Girgis Obaid
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Baowei Fei
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
- University of Texas Southwestern Medical Center, Department of Radiology, Dallas, TX
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5
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Parashar K, Torres AE, Boothby-Shoemaker W, Kohli I, Veenstra J, Neel V, Ozog DM. Imaging technologies for presurgical margin assessment of basal cell carcinoma. J Am Acad Dermatol 2023; 88:144-151. [PMID: 34793927 DOI: 10.1016/j.jaad.2021.11.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 10/20/2021] [Accepted: 11/08/2021] [Indexed: 11/16/2022]
Abstract
Basal cell carcinoma is the most common cancer worldwide, necessitating the development of techniques to decrease treatment costs through efficiency and efficacy. Mohs micrographic surgery, a specialized surgical technique involving staged resection of the tumor with complete histologic evaluation of the peripheral margins, is highly utilized. Reducing stages by even 5% to 10% would result in significant improvement in care and economic benefits. Noninvasive imaging could aid in both establishing the diagnosis of suspicious skin lesions and streamlining the surgical management of skin cancers by improving presurgical estimates of tumor sizes. Herein, we review the current state of imaging techniques in dermatology and their applications for diagnosis and tumor margin assessment of basal cell carcinoma prior to Mohs micrographic surgery.
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Affiliation(s)
| | | | - Wyatt Boothby-Shoemaker
- Department of Dermatology, Henry Ford Hospital, Detroit, Michigan; Department of Medicine, Michigan State University College of Human Medicine, East Lansing, Michigan
| | - Indermeet Kohli
- Department of Dermatology, Henry Ford Hospital, Detroit, Michigan; Department of Physics and Astronomy, Wayne State University, Detroit, Michigan
| | - Jesse Veenstra
- Department of Dermatology, Henry Ford Hospital, Detroit, Michigan
| | - Victor Neel
- Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts
| | - David M Ozog
- Department of Dermatology, Henry Ford Hospital, Detroit, Michigan; Department of Medicine, Michigan State University College of Human Medicine, East Lansing, Michigan.
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Design and Validation of a Handheld Optical Polarization Imager for Preoperative Delineation of Basal Cell Carcinoma. Cancers (Basel) 2022; 14:cancers14164049. [PMID: 36011042 PMCID: PMC9406425 DOI: 10.3390/cancers14164049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 08/02/2022] [Accepted: 08/18/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Skin cancer is the most common malignancy in humans. The goal of this study was to design, implement, and clinically test a novel handheld optical polarization imaging (OPI) system for rapid and noninvasive detection of basal cell carcinoma (BCC) margins. The device is compact, lightweight, and can be operated with minimal training. To validate the handheld imager, 10 subjects with biopsy-confirmed BCC were imaged prior to Mohs surgery. The optical images were processed using a spectral encoding method to increase the accuracy of the tumor boundary delineation. Preoperative margin assessment results from the OPI were compared to the surgeon’s clinical evaluation and to the gold standard of histopathology. Our findings indicate that OPI may be a valuable tool for optimizing surgical treatment of skin cancer. Abstract Background: Accurate removal of basal cell carcinoma (BCC) is challenging due to the subtle contrast between cancerous and normal skin. A method aiding with preoperative delineation of BCC margins would be valuable. The aim of this study was to implement and clinically validate a novel handheld optical polarization imaging (OPI) device for rapid, noninvasive, in vivo assessment of skin cancer margins. Methods: The handheld imager was designed, built, and tested. For clinical validation, 10 subjects with biopsy-confirmed BCC were imaged. Presumable cancer margins were marked by the study surgeon. The optical images were spectrally encoded to mitigate the impact of endogenous skin chromophores. The results of OPI and of the surgeon’s preoperative visual assessment were compared to clinical intraoperative histopathology. Results: As compared to the previous prototype, the handheld imager incorporates automated image processing and has 10-times shorter acquisition times. It is twice as light and provides twice as large a field of view. Clinical validation demonstrated that margin assessments using OPI were more accurate than visual assessment by the surgeon. The images were in good correlation with histology in 9 out of 10 cases. Conclusions: Handheld OPI could improve the outcomes of skin cancer treatments without impairing clinical workflows.
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Trout RM, Gnanatheepam E, Gado A, Reik C, Ramella-Roman JC, Hunter M, Schnelldorfer T, Georgakoudi I. Polarization enhanced laparoscope for improved visualization of tissue structural changes associated with peritoneal cancer metastasis. BIOMEDICAL OPTICS EXPRESS 2022; 13:571-589. [PMID: 35284190 PMCID: PMC8884200 DOI: 10.1364/boe.443926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/17/2021] [Accepted: 12/20/2021] [Indexed: 06/03/2023]
Abstract
A polarization enhanced laparoscopy (PEL) imaging system was developed to examine the feasibility of utilizing PEL to augment conventional white light laparoscopy (WLL) in the visualization of peritoneal cancer metastases. The system includes a modified tip to illuminate tissue with linearly polarized light and elements in the detection path enabling recording of corresponding images linearly co- and cross-polarized relative to the incident light. WLL and PEL images from optical tissue phantoms with features of distinct scattering cross-section confirm the enhanced sensitivity of PEL to such characteristics. Additional comparisons based on images acquired from collagen gels with different levels of fiber alignment highlight another source of PEL contrast. Finally, PEL and WLL images of ex vivo human tissue illustrate the potential of PEL to improve visualization of cancerous tissue surrounded by healthy peritoneum. Given the simplicity of the approach and its potential for seamless integration with current clinical practice, our results provide motivation for clinical translation.
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Affiliation(s)
- Robert M. Trout
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
| | - Einstein Gnanatheepam
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
| | - Ahmed Gado
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
| | - Christopher Reik
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
| | | | - Martin Hunter
- Department of Biomedical Engineering, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Thomas Schnelldorfer
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
- Division of Surgical Oncology, Tufts Medical Center, 800 Washington St, Boston, MA 02111, USA
- Contributed equally
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
- Contributed equally
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Yang W, Yang J, Zhao K, Gao Q, Liu L, Zhou Z, Hou S, Wang X, Shen G, Pang X, Xu Q, Wei Z. Low-Noise Dual-Band Polarimetric Image Sensor Based on 1D Bi 2 S 3 Nanowire. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2100075. [PMID: 34021718 PMCID: PMC8292854 DOI: 10.1002/advs.202100075] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/12/2021] [Indexed: 05/03/2023]
Abstract
With the increasing demand for detection accuracy and sensitivity, dual-band polarimetric image sensor has attracted considerable attention due to better object recognition by processing signals from diverse wavebands. However, the widespread use of polarimetric sensors is still limited by high noise, narrow photoresponse range, and low linearly dichroic ratio. Recently, the low-dimensional materials with intrinsic in-plane anisotropy structure exhibit the great potential to realize direct polarized photodetection. Here, strong anisotropy of 1D layered bismuth sulfide (Bi2 S3 ) is demonstrated experimentally and theoretically. The Bi2 S3 photodetector exhibits excellent device performance, which enables high photoresponsivity (32 A W-1 ), Ion /Ioff ratio (1.08 × 104 ), robust linearly dichroic ratio (1.9), and Hooge parameter (2.0 × 10-5 at 1 Hz) which refer to lower noise than most reported low-dimensional materials-based devices. Impressively, such Bi2 S3 nanowire exhibits a good broadband photoresponse, ranging from ultraviolet (360 nm) to short-wave infrared (1064 nm). Direct polarimetric imaging is implemented at the wavelengths of 532 and 808 nm. With these remarkable features, the 1D Bi2 S3 nanowires show great potential for direct dual-band polarimetric image sensors without using any external optical polarizer.
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Affiliation(s)
- Wen Yang
- School of Materials Science and EngineeringZhengzhou UniversityZhengzhou450052China
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
| | - Juehan Yang
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
| | - Kai Zhao
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
- Center of Materials Science and Optoelectronics EngineeringUniversity of Chinese Academy of SciencesBeijing100049China
| | - Qiang Gao
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
| | - Liyuan Liu
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
- Center of Materials Science and Optoelectronics EngineeringUniversity of Chinese Academy of SciencesBeijing100049China
| | - Ziqi Zhou
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
- Center of Materials Science and Optoelectronics EngineeringUniversity of Chinese Academy of SciencesBeijing100049China
| | - Shijun Hou
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
- Center of Materials Science and Optoelectronics EngineeringUniversity of Chinese Academy of SciencesBeijing100049China
| | - Xiaoting Wang
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
| | - Guozhen Shen
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
- Center of Materials Science and Optoelectronics EngineeringUniversity of Chinese Academy of SciencesBeijing100049China
| | - Xinchang Pang
- School of Materials Science and EngineeringZhengzhou UniversityZhengzhou450052China
| | - Qun Xu
- School of Materials Science and EngineeringZhengzhou UniversityZhengzhou450052China
- Henan Institute of Advanced TechnologyZhengzhou UniversityZhengzhou450052China
| | - Zhongming Wei
- State Key Laboratory of Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing100083China
- Center of Materials Science and Optoelectronics EngineeringUniversity of Chinese Academy of SciencesBeijing100049China
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Spatially-Resolved Multiply-Excited Autofluorescence and Diffuse Reflectance Spectroscopy: SpectroLive Medical Device for Skin In Vivo Optical Biopsy. ELECTRONICS 2021. [DOI: 10.3390/electronics10030243] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
This contribution presents the development of an optical spectroscopy device, called SpectroLive, that allows spatially-resolved multiply-excited autofluorescence and diffuse reflectance measurements. Besides describing the device, this study aims at presenting the metrological and safety regulation validations performed towards its aimed application to skin carcinoma in vivo diagnosis. This device is made of six light sources and four spectrometers for detection of the back-scattered intensity spectra collected through an optical probe (made of several optical fibers) featuring four source-to-detector separations (from 400 to 1000 µm). In order to be allowed by the French authorities to be evaluated in clinics, the SpectroLive device was successfully checked for electromagnetic compatibility and electrical and photobiological safety. In order to process spectra, spectral correction and metrological calibration were implemented in the post-processing software. Finally, we characterized the device’s sensitivity to autofluorescence detection: excitation light irradiance at the optical probe tip in contact with skin surface ranges from 2 to 11 W/m², depending on the light source. Such irradiances combined to sensitive detectors allow the device to acquire a full spectroscopic sequence within 6 s which is a short enough duration to be compatible with optical-guided surgery. All these results about sensitivity and safety make the SpectroLive device mature enough to be evaluated through a clinical trial that aims at evaluating its diagnostic accuracy for skin carcinoma diagnosis.
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Navarrete-Dechent C, Rajadhyaksha M, Nehal KS. Perioperative Noninvasive Optical Imaging: A Changing Paradigm for Management of Keratinocyte Carcinomas. J Invest Dermatol 2020; 140:1895-1898. [PMID: 32972523 DOI: 10.1016/j.jid.2020.04.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 04/29/2020] [Accepted: 04/30/2020] [Indexed: 11/29/2022]
Abstract
One of the major challenges faced when treating high-risk keratinocyte carcinoma (KC) is the unpredictable subclinical extension. Yaroslavsky et al. (2020) evaluated dual-wavelength optical polarization imaging (OPI) for the detection for KC margins before Mohs surgery with promising results. OPI might be useful as a screening tool to limit unnecessary surgery.
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Affiliation(s)
- Cristian Navarrete-Dechent
- Department of Dermatology, Escuela de Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Milind Rajadhyaksha
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Kishwer S Nehal
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
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