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Lu J, Huang Z, Zhuang B, Cheng Z, Guo J, Lou H. Development and evaluation of a robotic system for lumbar puncture and epidural steroid injection. Front Neurorobot 2023; 17:1253761. [PMID: 37881516 PMCID: PMC10595035 DOI: 10.3389/fnbot.2023.1253761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 08/11/2023] [Indexed: 10/27/2023] Open
Abstract
Introduction Lumbar puncture is an important medical procedure for various diagnostics and therapies, but it can be hazardous due to individual variances in subcutaneous soft tissue, especially in the elderly and obese. Our research describes a novel robot-assisted puncture system that automatically controls and maintains the probe at the target tissue layer through a process of tissue recognition. Methods The system comprises a robotic system and a master computer. The robotic system is constructed based on a probe consisting of a pair of concentric electrodes. From the probe, impedance spectroscopy measures bio-impedance signals and transforms them into spectra that are communicated to the master computer. The master computer uses a Bayesian neural network to classify the bio-impedance spectra as corresponding to different soft tissues. By feeding the bio-impedance spectra of unknown tissues into the Bayesian neural network, we can determine their categories. Based on the recognition results, the master computer controls the motion of the robotic system. Results The proposed system is demonstrated on a realistic phantom made of ex vivo tissues to simulate the spinal environment. The findings indicate that the technology has the potential to increase the precision and security of lumbar punctures and associated procedures. Discussion In addition to lumbar puncture, the robotic system is suitable for related puncture operations such as discography, radiofrequency ablation, facet joint injection, and epidural steroid injection, as long as the required tissue recognition features are available. These operations can only be carried out once the puncture needle and additional instruments reach the target tissue layer, despite their ensuing processes being distinct.
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Affiliation(s)
- Jiaxin Lu
- School of Automation, Guangdong University of Technology, Guangzhou, China
| | - Zekai Huang
- School of Automation, Guangdong University of Technology, Guangzhou, China
| | - Baiyang Zhuang
- School of Automation, Guangdong University of Technology, Guangzhou, China
| | - Zhuoqi Cheng
- The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark
| | - Jing Guo
- School of Automation, Guangdong University of Technology, Guangzhou, China
| | - Haifang Lou
- The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
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Wang W, Dong H. A commentary on "Intraoperative pathologically-calibrated diagnosis of lymph nodes involved by breast cancer cells based on electrical impedance spectroscopy; a prospective diagnostic human model study" (Int J Surg 2021;96:106166). Int J Surg 2022; 104:106771. [PMID: 35863625 DOI: 10.1016/j.ijsu.2022.106771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 07/05/2022] [Indexed: 10/17/2022]
Affiliation(s)
- Wei Wang
- Department of Breast Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, 570311, Haikou, China
| | - Huaying Dong
- Department of Breast Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, 570311, Haikou, China.
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Piccinelli M, Cheng Z, Dall'Alba D, Schmidt MK, Savarimuthu TR, Fiorini P. 3D Vision Based Robot Assisted Electrical Impedance Scanning for Soft Tissue Conductivity Sensing. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3150481] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Mahdavi R, Hosseinpour P, Abbasvandi F, Mehrvarz S, Yousefpour N, Ataee H, Parniani M, Mamdouh A, Ghafari H, Abdolahad M. Bioelectrical pathology of the breast; real-time diagnosis of malignancy by clinically calibrated impedance spectroscopy of freshly dissected tissue. Biosens Bioelectron 2020; 165:112421. [PMID: 32729539 DOI: 10.1016/j.bios.2020.112421] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/18/2020] [Accepted: 07/01/2020] [Indexed: 10/23/2022]
Abstract
In this paper, freshly (non-fixed) dissected tissues obtained from breast cancer surgery were impedimetrically and pathologically scanned, analyzed, and probable electro-pathological mutual matching was investigated. A new electrical model was proposed for pathological scores of breast lesions based on the theory of electric current dispersion by different types of biological tissues. This integrated handheld bioimpedance sensor named EPA would score the clearance or malignancy involvement of dissected tumor margins by introducing two crucial classification parameters named Z1kHz and IPS (impedance phase slope in the frequency ranges of 100-500 kHz). EPA benefits from a precise signal recording and analysis method which leads to the detection of the presence of even about 5% distribution of premalignant cells among healthy breast tissue. EPA can be clinically used by pathologists, as a complementary device, for real-time diagnosis of suspicious margins of dissected tumors to declare more precise intraoperative diagnosis by scanning all around the dissected tissues. Each data sampling and analysis covers 2 mm of the surface in less than 5 s. Measurements on about 313 human breast tumor margins showed more than 90% accuracy and near 93% specificity for EPA as an independent diagnostic tool.
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Affiliation(s)
- Reihane Mahdavi
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical AndComputer Engineering, Faculty of Engineering, University of Tehran, Tehran, P.O. Box 14395/515, Iran
| | - Parisa Hosseinpour
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical AndComputer Engineering, Faculty of Engineering, University of Tehran, Tehran, P.O. Box 14395/515, Iran; SEPAS Pathology Laboratory, P.O.Box: 1991945391, Tehran, Iran
| | - Fereshteh Abbasvandi
- ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, P.O. BOX 15179/64311, Tehran, Iran
| | - Sajad Mehrvarz
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical AndComputer Engineering, Faculty of Engineering, University of Tehran, Tehran, P.O. Box 14395/515, Iran
| | - Narges Yousefpour
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical AndComputer Engineering, Faculty of Engineering, University of Tehran, Tehran, P.O. Box 14395/515, Iran
| | - Hossein Ataee
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical AndComputer Engineering, Faculty of Engineering, University of Tehran, Tehran, P.O. Box 14395/515, Iran
| | - Mohammad Parniani
- Department of Clinical Investigations, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, P.O. BOX 15179/64311, Tehran, Iran
| | - Amir Mamdouh
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical AndComputer Engineering, Faculty of Engineering, University of Tehran, Tehran, P.O. Box 14395/515, Iran
| | - Hadi Ghafari
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical AndComputer Engineering, Faculty of Engineering, University of Tehran, Tehran, P.O. Box 14395/515, Iran
| | - Mohammad Abdolahad
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical AndComputer Engineering, Faculty of Engineering, University of Tehran, Tehran, P.O. Box 14395/515, Iran.
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Zhu G, Zhou L, Wang S, Lin P, Guo J, Cai S, Xiong X, Jiang X, Cheng Z. Design of a Drop-in EBI Sensor Probe for Abnormal Tissue Detection in Minimally Invasive Surgery. JOURNAL OF ELECTRICAL BIOIMPEDANCE 2020; 11:87-95. [PMID: 33584908 PMCID: PMC7851984 DOI: 10.2478/joeb-2020-0013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Indexed: 06/12/2023]
Abstract
It is a common challenge for the surgeon to detect pathological tissues and determine the resection margin during a minimally invasive surgery. In this study, we present a drop-in sensor probe based on the electrical bioimpedance spectroscopic technology, which can be grasped by a laparoscopic forceps and controlled by the surgeon to inspect suspicious tissue area conveniently. The probe is designed with an optimized electrode and a suitable shape specifically for Minimally Invasive Surgery (MIS). Subsequently, a series of ex vivo experiments are carried out with porcine liver tissue for feasibility validation. During the experiments, impedance measured at frequencies from 1 kHz to 2 MHz are collected on both normal tissues and water soaked tissue. In addition, classifiers based on discriminant analysis are developed. The result of the experiment indicate that the sensor probe can be used to measure the impedance of the tissue easily and the developed tissue classifier achieved accuracy of 80% and 100% respectively.
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Affiliation(s)
- Guanming Zhu
- School of Automation, Guangdong University of Technology
| | - Liang Zhou
- School of Automation, Guangdong University of Technology
| | - Shilong Wang
- School of Automation, Guangdong University of Technology
| | - Pengjie Lin
- School of Automation, Guangdong University of Technology
| | - Jing Guo
- School of Automation, Guangdong University of Technology
| | - Shuting Cai
- School of Automation, Guangdong University of Technology
| | - Xiaoming Xiong
- School of Automation, Guangdong University of Technology
| | - Xiaobing Jiang
- Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
| | - Zhuoqi Cheng
- The Mærsk Mc-Kinney Møller Institute, University of Southern Denmark
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Meroni D, Maglioli CC, Bovio D, Greco FG, Aliverti A. An electrical impedance tomography (EIT) multi-electrode needle-probe device for local assessment of heterogeneous tissue impeditivity. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2018; 2017:1385-1388. [PMID: 29060135 DOI: 10.1109/embc.2017.8037091] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Electrical Impedance Tomography (EIT) is an image reconstruction technique applied in medicine for the electrical imaging of living tissues. In literature there is the evidence that a large resistivity variation related to the differences of the human tissues exists. As a result of this interest for the electrical characterization of the biological samples, recently the attention is also focused on the identification and characterization of the human tissue, by studying the homogeneity of its structure. An 8 electrodes needle-probe device has been developed with the intent of identifying the structural inhomogeneities under the surface layers. Ex-vivo impeditivity measurements, by placing the needle-probe in 5 different patterns of fat and lean porcine tissue, were performed, and impeditivity maps were obtained by EIDORS open source software for image reconstruction in electrical impedance. The values composing the maps have been analyzed, pointing out a good tissue discrimination, and the conformity with the real images. We conclude that this device is able to perform impeditivity maps matching to reality for position and orientation. In all the five patterns presented is possible to identify and replicate correctly the heterogeneous tissue under test. This new procedure can be helpful to the medical staff to completely characterize the biological sample, in different unclear situations.
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Baghbani R, Moradi MH, Shadmehr MB. Identification of Pulmonary Nodules by Sweeping the Surface of the Lung with an Electrical Bioimpedance Probe: A Feasibility Study. J INVEST SURG 2018; 32:614-623. [PMID: 29553840 DOI: 10.1080/08941939.2018.1446106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Purpose: Identifying and localizing the invisible and nonpalpable pulmonary nodules are among the main challenges surgeons face during open and thoracoscopic surgeries. This in vitro study explores the feasibility of utilizing a simple and safe electrical bioimpedance probe in locating the pulmonary nodules by sweeping the surface of the lung tissue. Methods: A probe was designed with four spherical electrodes that were used for recording the bioimpedance spectrum of the lung tissue in a frequency range of 50 kHz to 5 MHz. In each of the 10 resected surgical specimens, the bioimpedance of normal lung tissue as well as the tumoral lung tissue were recorded and compared with each other. Results: By drawing the Nyquist curves, it was determined that the amplitude of the electrical impedance measured by moving the probe from the healthy point to the region of the pulmonary nodule decreases and the frequency characteristics of the bioimpedance spectrum increases. Conclusion: This method could be potentially beneficial in the localization of invisible and even nonpalpable in-depth pulmonary nodules in thoracic surgeries.
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Affiliation(s)
- Rasool Baghbani
- Biomedical Engineering Department, Amirkabir University of Technology , Tehran , Iran
| | | | - Mohammad Behgam Shadmehr
- Department of Thoracic Surgery, Tracheal Diseases Research Center (TDRC), National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences , Tehran , Iran
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Meroni D, Bovio D, Frisoli PA, Aliverti A. Measurement of electrical impedance in different ex-vivo tissues. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2016:2311-2314. [PMID: 28268788 DOI: 10.1109/embc.2016.7591192] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Bioimpedance allows living tissues characterization and detection of pathological states. Although in previous years several methods have been proposed to assess bioimpedance, many instruments used in studies of living tissues characterization are commercial devices designed for the measurement of components or electronic circuits and therefore the measurement of biological tissues can be affected by electrical polarization. In order to test if electrical impedance spectroscopy may be helpful in providing further information about the structure and the properties of tissues, an impedance meter for living-tissues, able to avoid polarization, was developed. Subsequently, ex-vivo impedance measurements were performed by placing a needle-probe into 6 tissues (heart, kidney, lung, muscle, liver and fat) of 3 rabbits. Impedance was analyzed in terms of modulus and phase. In the range 2-10 kHz, considering both modulus and phase, it was possible to discriminate each tissue with statistical significance. In the lower considered range of frequencies (i.e., 10-100 Hz and 200-1000 Hz) this was not always the case. We conclude that the detailed analysis of modulus and phase in the frequency range of 2-10 kHz, by using an ad-hoc device able to avoid electrical polarization, allows to discriminate between several healthy living tissues.
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Murphy EK, Mahara A, Halter RJ. A Novel Regularization Technique for Microendoscopic Electrical Impedance Tomography. IEEE TRANSACTIONS ON MEDICAL IMAGING 2016; 35:1593-1603. [PMID: 26812707 DOI: 10.1109/tmi.2016.2520907] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
A novel regularization technique is developed for end-fired microendoscopic electrical impedance tomography using the dual-mesh method. The new regularization technique coupled with appropriate forward modeling and inverse mesh design is shown to produce dramatically improved reconstructions over previous methods. 3D absolute and difference reconstructions from measured saline tank and ex vivo adipose and muscle tissue experiments are used to validate the approach. The ex vivo experiments are used as a surrogate for prostate tissue, which is the primary clinical application for the probe. Inclusion center of mass errors were less than 0.47 mm for tank experiments with inclusion depths and radial offsets ranging less than 3 mm and 1.5 mm, respectively. Absolute 3D reconstructions on the tissue show quantitatively good accuracy and the ability to spatially distinguish small tissue features (adipose strands of approximately 2.5 mm in width). The reconstruction algorithm developed provides strong evidence for the promise of surgical margin detection using microendoscopic EIT.
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Healthy and tumoral tissue resistivity in wild-type and sparc-/- animal models. Med Biol Eng Comput 2016; 54:1949-1957. [PMID: 27099155 DOI: 10.1007/s11517-016-1489-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 03/18/2016] [Indexed: 10/21/2022]
Abstract
Despite the technological improvement of radiologic, endoscopic and nuclear imaging, the accuracy of diagnostic procedures for tumors can be limited whenever a mass-forming lesion is identified. This is true also because bioptical sampling cannot be properly guided into the lesions so as to puncture neoplastic tissue and to avoid necrotic areas. Under these circumstances, invasive and expensive procedures are still required to obtain diagnosis which is mandatory to plan the most appropriate therapeutic strategy. In order to test if electrical impedance spectroscopy may be helpful in providing further evidence for cancer detection, resistivity measurements were taken on 22 mice, 11 wild-type and 11 sparc-/- (knock out for the protein SPARC: secreted protein acidic and rich in cysteine), bearing mammary carcinomas, by placing a needle-probe into tumor, peritumoral and contralateral healthy fat areas. Tumor resistivity was significantly lower than both peritumoral fat and contralateral fat tissues. Resistivity in sparc-/- mice was lower than wild-type animals. A significant frequency dependence of resistivity was present in tissues analyzed. We conclude that accurate measurements of resistivity may allow to discriminate between tissues with different pathological and/or structural characteristics. Therefore, resistivity measurements could be considered for in vivo detection and differential diagnosis of tumor masses.
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Mahara A, Khan S, Murphy EK, Schned AR, Hyams ES, Halter RJ. 3D Microendoscopic Electrical Impedance Tomography for Margin Assessment During Robot-Assisted Laparoscopic Prostatectomy. IEEE TRANSACTIONS ON MEDICAL IMAGING 2015; 34:1590-1601. [PMID: 25730825 DOI: 10.1109/tmi.2015.2407833] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Radially configured microendoscopic electrical impedance probes intended for intraoperative surgical margin assessment during robot-assisted laparoscopic prostatectomy (RALP) were examined through simulation, bench-top experimentation, and ex vivo tissue studies. Three probe designs with 8, 9, and 17 electrodes, respectively, were analyzed through finite element method based simulations. One mm diameter spherical inclusions ( σinclusion = 1 S/m) are positioned at various locations within a hemispherical background ( σbackground = 0.1 S/m) of radius 5 mm. An 8-electrode configuration is not able to localize the inclusion at these positions while 9 and 17-electrode configurations are able to accurately reconstruct the inclusion at maximum depth of 1 mm and 3 mm, respectively. All three probe designs were constructed and evaluated using saline phantoms and ex vivo porcine and human prostate tissues. The 17-electrode probe performed best in saline phantom studies, accurately reconstructing high contrast, 1-mm-diameter metal cylindrical inclusions in a saline bath ( σsaline = 0.1 S/m) with a position and area error of 0.46 mm and 0.84 mm2, respectively. Additionally, the 17-electrode probe was able to adequately distinguish cancerous from benign tissues in three ex vivo human prostates. Simulations, bench-top saline experiments, and ex vivo tissue sampling suggest that for intraoperative surgical margin assessment during RALP, the 17-electrode probe (as compared to an 8 and 9 electrode probe) will be necessary to provide sufficient accuracy and sensitivity.
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