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Blößer S, May A, Welsch L, Ast M, Braun S, Velten T, Biehl M, Tschammer J, Roeb E, Knabe M. Virtual Biopsy by Electrical Impedance Spectroscopy in Barrett's Carcinoma. J Gastrointest Cancer 2021; 53:948-957. [PMID: 34559362 PMCID: PMC9630236 DOI: 10.1007/s12029-021-00703-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2021] [Indexed: 11/25/2022]
Abstract
Purpose Early detection of adenocarcinomas in the esophagus is crucial for achieving curative endoscopic therapy. Targeted biopsies of suspicious lesions, as well as four-quadrant biopsies, represent the current diagnostic standard. However, this procedure is time-consuming, cost-intensive, and examiner-dependent. The aim of this study was to test whether impedance spectroscopy is capable of distinguishing between healthy, premalignant, and malignant lesions. An ex vivo measurement method was developed to examine esophageal lesions using impedance spectroscopy immediately after endoscopic resection. Methods After endoscopic resection of suspicious lesions in the esophagus, impedance measurements were performed on resected cork-covered tissue using a measuring head that was developed, with eight gold electrodes, over 10 different measurement settings and with frequencies from 100 Hz to 1 MHz. Results A total of 105 measurements were performed in 60 patients. A dataset of 400 per investigation and a total of more than 42,000 impedance measurements were therefore collected. Electrical impedance spectroscopy (EIS) was able to detect dysplastic esophageal mucosa with a sensitivity of 81% in Barrett’s esophagus. Conclusion In summary, EIS was able to distinguish different tissue characteristics in the different esophageal tissues. EIS thus holds potential for further development of targeted biopsies during surveillance endoscopy. Trial Registration NCT04046601
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Affiliation(s)
- Sandra Blößer
- Department of Medicine II, Sana Klinikum Offenbach, Starkenburgring 66, 63069, Offenbach, Germany
- Department of Medicine I, Asklepios Paulinen Klinik Wiesbaden, Geisenheimer Strasse 10, 65197, Wiesbaden, Germany
| | - Andrea May
- Department of Medicine II, Sana Klinikum Offenbach, Starkenburgring 66, 63069, Offenbach, Germany
- Department of Medicine I, Asklepios Paulinen Klinik Wiesbaden, Geisenheimer Strasse 10, 65197, Wiesbaden, Germany
| | - Lukas Welsch
- Department of Gastroenterology, Medizinische Klinik I, University Hospital, Goethe University, Frankfurt, Germany, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany
| | - Michael Ast
- Stockert GmbH, Bötzinger Strasse 72, 79111, Freiburg, Germany
| | - Susanne Braun
- Institute of Pathology, Sana Klinikum Offenbach, Starkenburgring 66, 63069, Offenbach, Germany
| | - Thomas Velten
- Fraunhofer Institute for Biomedical Engineering (IBMT), Ensheimer Strasse 48, 66386, St. Ingbert, Germany
| | - Margit Biehl
- Fraunhofer Institute for Biomedical Engineering (IBMT), Ensheimer Strasse 48, 66386, St. Ingbert, Germany
| | - Jonas Tschammer
- Institute for Medical Informatics, Justus Liebig University of Giessen, Rudolf-Buchheim-Str. 6, 35392, Giessen, Germany
| | - Elke Roeb
- Department of Gastroenterology, Justus Liebig University of Giessen, Klinikstrasse 33, 35392, Giessen, Germany
| | - Mate Knabe
- Department of Gastroenterology, Medizinische Klinik I, University Hospital, Goethe University, Frankfurt, Germany, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.
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Murphy EK, Wu X, Everitt AC, Halter RJ. Phantom Studies of Fused-Data TREIT Using Only Biopsy-Probe Electrodes. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:3367-3378. [PMID: 32386146 PMCID: PMC7654729 DOI: 10.1109/tmi.2020.2992453] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Transrectal electrical impedance tomography (TREIT) is a novel imaging modality being developed for prostate biopsy guidance and cancer characterization. We describe a novel fused-data TREIT (fd-TREIT) system and approach developed to improve imaging robustness and evaluate it on challenging clinically-representative phantoms. The new approach incorporates 8 electrodes (in 2 rows) on a biopsy probe (BP) and 12 electrodes on the face of a transrectal ultrasound (TRUS) probe and includes a biopsy gun, instrument tracking, 3D-printed needle guide, and EIT hardware and software. The approach was evaluated via simulation, a series of prostate-shaped gel phantoms, and an ex vivo bovine tissue sample using only absolute reconstructions. The simulations surprisingly found that using only biopsy-probe electrode measurements, i.e. omitting TRUS-probe electrode measurements, significantly improves robustness to noise thus leading to simpler modeling and significant decreases in computational times (~13x speed-up/reconstructions in ~27 minutes). The gel phantom experiments resulted in reconstructions with area under the curve (AUC) values extracted from receiver operator characteristic curves of >0.85 for 4 out of the 5 tests, and when incorporating inclusion boundaries resulted in absolute reconstructions yielding 1.9% and 12.2% average percent errors for 3 consistent tests and all 5 tests, respectively. Ex vivo bovine tests revealed qualitatively that the fd-TREIT approach can largely discriminate a complex adipose and muscle interface in a realistic setting using data from 9 biopsy probe states (biopsy core locations). The algorithms developed here on challenging phantoms suggest strong promise for this technology to aid in imaging during routine 12-core biopsies.
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Pathiraja AA, Weerakkody RA, von Roon AC, Ziprin P, Bayford R. The clinical application of electrical impedance technology in the detection of malignant neoplasms: a systematic review. J Transl Med 2020; 18:227. [PMID: 32513179 PMCID: PMC7282098 DOI: 10.1186/s12967-020-02395-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 05/29/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Electrical impedance technology has been well established for the last 20 years. Recently research has begun to emerge into its potential uses in the detection and diagnosis of pre-malignant and malignant conditions. The aim of this study was to systematically review the clinical application of electrical impedance technology in the detection of malignant neoplasms. METHODS A search of Embase Classic, Embase and Medline databases was conducted from 1980 to 22/02/2018 to identify studies reporting on the use of bioimpedance technology in the detection of pre-malignant and malignant conditions. The ability to distinguish between tissue types was defined as the primary endpoint, and other points of interest were also reported. RESULTS 731 articles were identified, of which 51 reported sufficient data for analysis. These studies covered 16 different cancer subtypes in a total of 7035 patients. As the studies took various formats, a qualitative analysis of each cancer subtype's data was undertaken. All the studies were able to show differences in electrical impedance and/or related metrics between malignant and normal tissue. CONCLUSIONS Electrical impedance technology provides a novel method for the detection of malignant tissue, with large studies of cervical, prostate, skin and breast cancers showing encouraging results. Whilst these studies provide promising insights into the potential of this technology as an adjunct in screening, diagnosis and intra-operative margin assessment, customised development as well as multi-centre clinical trials need to be conducted before it can be reliably employed in the clinical detection of malignant tissue.
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Affiliation(s)
- Angela A. Pathiraja
- Department of Surgery and Cancer, Imperial College London, London, UK
- St Mary’s Hospital, 10th Floor QEQM Building, Paddington, London, W2 1NY UK
| | - Ruwan A. Weerakkody
- Department of Surgery and Cancer, Imperial College London, London, UK
- St Mary’s Hospital, 10th Floor QEQM Building, Paddington, London, W2 1NY UK
| | - Alexander C. von Roon
- Department of Surgery and Cancer, Imperial College London, London, UK
- St Mary’s Hospital, 10th Floor QEQM Building, Paddington, London, W2 1NY UK
| | - Paul Ziprin
- Department of Surgery and Cancer, Imperial College London, London, UK
- St Mary’s Hospital, 10th Floor QEQM Building, Paddington, London, W2 1NY UK
| | - Richard Bayford
- Department of Natural Sciences, Middlesex University, London, UK
- School of Science and Technology, Middlesex University, The Burroughs, Hendon, London, NW4 4BT UK
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Determination of cancer progression in breast cells by fiber optic bioimpedance spectroscopy system. JOURNAL OF SURGERY AND MEDICINE 2020. [DOI: 10.28982/josam.671514] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Cho YS, Hur YH, Seon HJ, Kim JW, Kim HJ. Electrical conductivity-based contrast imaging for characterizing prostatic tissues: in vivo animal feasibility study. BMC Urol 2019; 19:95. [PMID: 31638952 PMCID: PMC6805360 DOI: 10.1186/s12894-019-0532-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 10/09/2019] [Indexed: 12/04/2022] Open
Abstract
Background Electrical conductivity-based magnetic resonance (MR) imaging may provide unique information on tissue condition because its contrast originates from the concentration and mobility of ions in the cellular space. We imaged the conductivity of normal canine prostate in vivo and evaluated tissue contrast in terms of both the conductivity distribution and anatomical significance. Methods Five healthy laboratory beagles were used. After clipping the pelvis hair, we attached electrodes and placed each dog inside the bore of an MRI scanner. During MR scanning, we injected imaging currents into two mutually orthogonal directions between two pairs of electrodes. A multi spin echo pulse sequence was used to obtain the MR magnitude and magnetic flux density images. The projected current density algorithm was used to reconstruct the conductivity image. Results Conductivity images showed unique contrast depending on the prostatic tissues. From the conductivity distribution, conductivity was highest in the center area and lower in the order of the middle and outer areas of prostatic tissues. The middle and outer areas were, respectively, 11.2 and 25.5% lower than the center area. Considering anatomical significance, conductivity was highest in the central zone and lower in the order of the transitional and peripheral zones in all prostates. The transitional and peripheral zones were, respectively, 7.5 and 17.8% lower than the central zone. Conclusions Current conductivity-based MR imaging can differentiate prostatic tissues without using any contrast media or additional MR scans. The electrical conductivity images with unique contrast to tissue condition can provide a prior information on tissues in situ to be used for human imaging.
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Affiliation(s)
- Yong Soo Cho
- Department of Radiology, Chosun University Hospital and Chosun University College of Medicine, 365 Pilmun-daero, Dong-gu, Gwangju, 61453, South Korea
| | - Young Hoe Hur
- Department of Hepato-Biliary-Pancreas Surgery, Chonnam National University Hwasun Hospital and Chonnam National University Medical School, Gwangju, 61469, South Korea
| | - Hyun Ju Seon
- Department of Radiology, Chosun University Hospital and Chosun University College of Medicine, 365 Pilmun-daero, Dong-gu, Gwangju, 61453, South Korea
| | - Jin Woong Kim
- Department of Radiology, Chosun University Hospital and Chosun University College of Medicine, 365 Pilmun-daero, Dong-gu, Gwangju, 61453, South Korea.
| | - Hyung Joong Kim
- Department of Biomedical Engineering, Kyung Hee University, 23 Kyungheedaero, Dongdaemungu, Seoul, 02447, South Korea.
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Helen L, O'Donnell BD, Messina W, O'Mahony C, Ahmed OMA, Moore EJ. Impedance Sensor to Detect Substance Change at the Needle Tip. ELECTROANAL 2017. [DOI: 10.1002/elan.201700306] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Lisa Helen
- Sensing and Separation Group, Chemistry Department and Life Science Interface Group, Tyndall National Institute; University College Cork; Ireland
| | - Brian D. O'Donnell
- Department of Anaesthesia; Cork University Hospital & ASSERT for Health Centre, University College Cork; Cork Ireland
| | - Walter Messina
- Sensing and Separation Group, Chemistry Department and Life Science Interface Group, Tyndall National Institute; University College Cork; Ireland
| | - Conor O'Mahony
- Life Science Interface Group, Tyndall National Institute; University College Cork; Cork Ireland
| | - Osman M. A. Ahmed
- Department of Anaesthesia and Intensive Care; University College Cork; Cork Ireland
| | - Eric J. Moore
- Sensing and Separation Group, Chemistry Department and Life Science Interface Group, Tyndall National Institute; University College Cork; Ireland
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Song B, Wen P, Ahfock T, Li Y. Numeric Investigation of Brain Tumor Influence on the Current Distributions During Transcranial Direct Current Stimulation. IEEE Trans Biomed Eng 2016; 63:176-87. [DOI: 10.1109/tbme.2015.2468672] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Helen L, O'Donnell BD, Moore E. Nerve localization techniques for peripheral nerve block and possible future directions. Acta Anaesthesiol Scand 2015; 59:962-74. [PMID: 25997933 DOI: 10.1111/aas.12544] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 03/24/2015] [Accepted: 04/05/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND Ultrasound guidance is now a standard nerve localization technique for peripheral nerve block (PNB). Ultrasonography allows simultaneous visualization of the target nerve, needle, local anesthetic injectate, and surrounding anatomical structures. Accurate deposition of local anesthetic next to the nerve is essential to the success of the nerve block procedure. Due to limitations in the visibility of both needle tip and nerve surface, the precise relationship between needle tip and target nerve is unknown at the moment of injection. Importantly, nerve injury may result both from an inappropriately placed needle tip and inappropriately placed local anesthetic. The relationship between the block needle tip and target nerve is of paramount importance to the safe conduct of peripheral nerve block. METHODS This review summarizes the evolution of nerve localization in regional anesthesia, characterizes a problem faced by clinicians in performing ultrasound-guided nerve block, and explores the potential technological solutions to this problem. RESULTS To date, technology newly applied to PNB includes real-time 3D imaging, multi-planar magnetic needle guidance, and in-line injection pressure monitoring. This review postulates that optical reflectance spectroscopy and bioimpedance may allow for accurate identification of the relationship between needle tip and target nerve, currently a high priority deficit in PNB techniques. CONCLUSIONS Until it is known how best to define the relationship between needle and nerve at the moment of injection, some common sense principles are suggested.
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Affiliation(s)
- L. Helen
- Sensing and Separation Group; Chemistry Department and Life Science Interface Group; Tyndall National Institute; University College Cork; Cork Ireland
| | - B. D. O'Donnell
- Department of Anesthesia; Cork University Hospital & ASSERT for Health Centre; University College Cork; Cork Ireland
| | - E. Moore
- Sensing and Separation Group; Chemistry Department and Life Science Interface Group; Tyndall National Institute; University College Cork; Cork Ireland
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Knabe M, Kurz C, Knoll T, Velten T, Vieth M, Manner H, Ell C, Pech O. Diagnosing early Barrett's neoplasia and oesophageal squamous cell neoplasia by bioimpedance spectroscopy in human tissue. United European Gastroenterol J 2014; 1:236-41. [PMID: 24917967 DOI: 10.1177/2050640613495198] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2013] [Accepted: 05/26/2013] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Detection of early oesophageal cancer in surrounding normal tissue can be challenging, but detection is essential to determine the subsequent treatment. Dysplastic tissue can be detected by using electrical impedance spectroscopy (EIS). OBJECTIVE The aim of the present study was to evaluate the feasibility and value of EIS in the diagnosis of oesophageal neoplasia. METHODS This prospective ex-vivo study included 23 patients with early oesophageal cancer (17 with Barrett's cancer and six with early squamous cell cancer). Immediately after endoscopic resection, the electrical properties of the resected specimens were investigated using a pencil probe (5 mm in diameter, frequency range from 100 Hz to 1 MHz). Punch biopsies were taken from the measured site in order to compare the results of EIS with histology. RESULTS EIS was able to detect dysplastic oesophageal mucosa with a high rate of accuracy (82% in Barrett's oesophagus and 100% in squamous oesophagus) A total of 54 different sites in 26 tumours were evaluated. CONCLUSIONS EIS was able to differentiate reliably between non-neoplastic and neoplastic oesophageal mucosa. Using EIS, it might be possible to use it for targeted biopsies and to avoid unnecessary biopsies during cancer surveillance in future.
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Affiliation(s)
- Mate Knabe
- HSK Wiesbaden (Teaching Hospital of the University of Mainz), Wiesbaden, Germany
| | - Christian Kurz
- Fraunhofer Institute for Biomedical Engineering IBMT, St. Ingbert, Germany
| | - Thorsten Knoll
- Fraunhofer Institute for Biomedical Engineering IBMT, St. Ingbert, Germany
| | - Thomas Velten
- Fraunhofer Institute for Biomedical Engineering IBMT, St. Ingbert, Germany
| | | | - Hendrik Manner
- HSK Wiesbaden (Teaching Hospital of the University of Mainz), Wiesbaden, Germany
| | - Christian Ell
- HSK Wiesbaden (Teaching Hospital of the University of Mainz), Wiesbaden, Germany
| | - Oliver Pech
- HSK Wiesbaden (Teaching Hospital of the University of Mainz), Wiesbaden, Germany ; St John of God Hospital, Regensburg, Germany
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Sharma V, Olweny EO, Kapur P, Cadeddu JA, Roehrborn CG, Liu H. Prostate cancer detection using combined auto-fluorescence and light reflectance spectroscopy: ex vivo study of human prostates. BIOMEDICAL OPTICS EXPRESS 2014; 5:1512-29. [PMID: 24877012 PMCID: PMC4026896 DOI: 10.1364/boe.5.001512] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Revised: 04/01/2014] [Accepted: 04/07/2014] [Indexed: 05/23/2023]
Abstract
This study was conducted to evaluate the capability of detecting prostate cancer (PCa) using auto-fluorescence lifetime spectroscopy (AFLS) and light reflectance spectroscopy (LRS). AFLS used excitation at 447 nm with four emission wavelengths (532, 562, 632, and 684 nm), where their lifetimes and weights were analyzed using a double exponent model. LRS was measured between 500 and 840 nm and analyzed by a quantitative model to determine hemoglobin concentrations and light scattering. Both AFLS and LRS were taken on n = 724 distinct locations from both prostate capsular (nc = 185) and parenchymal (np = 539) tissues, including PCa tissue, benign peripheral zone tissue and benign prostatic hyperplasia (BPH), of fresh ex vivo radical prostatectomy specimens from 37 patients with high volume, intermediate-to-high-grade PCa (Gleason score, GS ≥7). AFLS and LRS parameters from parenchymal tissues were analyzed for statistical testing and classification. A feature selection algorithm based on multinomial logistic regression was implemented to identify critical parameters in order to classify high-grade PCa tissue. The regression model was in turn used to classify PCa tissue at the individual aggressive level of GS = 7,8,9. Receiver operating characteristic curves were generated and used to determine classification accuracy for each tissue type. We show that our dual-modal technique resulted in accuracies of 87.9%, 90.1%, and 85.1% for PCa classification at GS = 7, 8, 9 within parenchymal tissues, and up to 91.1%, 91.9%, and 94.3% if capsular tissues were included for detection. Possible biochemical and physiological mechanisms causing signal differences in AFLS and LRS between PCa and benign tissues were also discussed.
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Affiliation(s)
- Vikrant Sharma
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
- Joint Program of Biomedical Engineering between University of Texas at Arlington and University of Texas Southwestern Medical Center at Dallas, Arlington, TX 76019, USA
| | - Ephrem O. Olweny
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Payal Kapur
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Jeffrey A. Cadeddu
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Claus G. Roehrborn
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Hanli Liu
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
- Joint Program of Biomedical Engineering between University of Texas at Arlington and University of Texas Southwestern Medical Center at Dallas, Arlington, TX 76019, USA
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Wan Y, Borsic A, Heaney J, Seigne J, Schned A, Baker M, Wason S, Hartov A, Halter R. Transrectal electrical impedance tomography of the prostate: spatially coregistered pathological findings for prostate cancer detection. Med Phys 2014; 40:063102. [PMID: 23718610 DOI: 10.1118/1.4803498] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
PURPOSE Prostate cancer ranks as one of the most common malignancies and currently represents the second leading cancer-specific cause of death in men. The current use of single modality transrectal ultrasound (TRUS) for biopsy guidance has a limited sensitivity and specificity for accurately identifying cancerous lesions within the prostate. This study introduces a novel prostate cancer imaging method that combines TRUS with electrical impedance tomography (EIT) and reports on initial clinical findings based on in vivo measurements. METHODS The ultrasound system provides anatomic information, which guides EIT image reconstruction. EIT reconstructions are correlated with semiquantitative pathological findings. Thin plate spline warping transformations are employed to overlay electrical impedance images and pathological maps describing the spatial distribution of prostate cancer, with the latter used as reference for data analysis. Clinical data were recorded from a total of 50 men prior to them undergoing radical prostatectomy for prostate cancer treatment. Student's t-tests were employed to statistically examine the electrical property difference between cancerous tissue and benign tissue as defined through histological assessment of the excised gland. RESULTS Example EIT reconstructions are presented along with a statistical analysis comparing EIT and pathology. An average transformation error of 1.67% is found when 381 spatially coregistered pathological images are compared with their target EIT reconstructed counterparts. At EIT signal frequencies of 0.4, 3.2, and 25.6 kHz, paired-testing demonstrated that the conductivity of cancerous regions is significantly greater than that of benign regions ( p < 0.0304). CONCLUSIONS These preliminary clinical findings suggest the potential benefits electrical impedance measurements might have for prostate cancer detection.
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Affiliation(s)
- Yuqing Wan
- Thayer School of Engineering at Dartmouth, 14 Engineering Drive, Hanover, New Hampshire 03755, USA.
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Mishra V, Schned AR, Hartov A, Heaney JA, Seigne J, Halter RJ. Electrical property sensing biopsy needle for prostate cancer detection. Prostate 2013; 73:1603-13. [PMID: 23996675 DOI: 10.1002/pros.22695] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2012] [Accepted: 05/12/2013] [Indexed: 11/05/2022]
Abstract
BACKGROUND Significant electrical property differences have been demonstrated to exist between malignant and benign prostate tissues. We evaluated how well a custom designed clinically deployable electrical property sensing biopsy needle is able to discriminate between these tissue types in an ex vivo prostate model. METHODS An electrical impedance spectroscopy (EIS) sensing biopsy (Bx) needle was developed to record resistive (ρR) and reactive (ρX) components of electrical impedance from 100 Hz to 1 MHz. Standard twelve-core biopsy protocols were followed, in which the EIS-Bx device was used to gauge electrical properties prior to extracting tissue cores through biopsy needle firing from 36 ex vivo human prostates. Histopathological assessment of the cores was statistically compared to the impedance spectrum gauged from each core. RESULTS The magnitudes of the mean resistive and reactive components were significantly higher in cancer tissues (P < 0.05). ROC curves showed that ρR at 63.09 kHz was optimal for discriminating cancer from benign tissues; this parameter had 75.4% specificity, 76.1% sensitivity, and ROC AUC of 0.779. Similarly, 251.1 kHz was optimal when using ρX to discriminate cancer from benign tissues; this parameter had a 77.9% specificity, 71.4% sensitivity, and ROC AUC of 0.79. CONCLUSION Significant electrical property differences noted between benign and malignant prostate tissues suggest the potential efficacy an EIS-Bx device would provide for cancer detection in a clinical setting. By sensing a greater fraction of the prostate's volume in real-time, the EIS-Bx device has the potential to improve the accuracy of cancer grading and volume estimation made with current biopsy procedures.
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Affiliation(s)
- V Mishra
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
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Mishra V, Bouayad H, Schned A, Hartov A, Heaney J, Halter RJ. A Real-Time Electrical Impedance Sensing Biopsy Needle. IEEE Trans Biomed Eng 2012; 59:3327-36. [DOI: 10.1109/tbme.2012.2213599] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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