1
|
Keum H, Albadawi H, Zhang Z, Graf E, Santos PRD, Gunduz S, Oklu R. Bioengineered Ionic Liquid for Catheter-Directed Tissue Ablation, Drug Delivery, and Embolization. Adv Mater 2024:e2309412. [PMID: 38305472 DOI: 10.1002/adma.202309412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/03/2023] [Indexed: 02/03/2024]
Abstract
Delivery of therapeutics to solid tumors with high bioavailability remains a challenge and is likely the main contributor to the ineffectiveness of immunotherapy and chemotherapy. Here, a catheter-directed ionic liquid embolic (ILE) is bioengineered to achieve durable vascular embolization, uniform tissue ablation, and drug delivery in non-survival and survival porcine models of embolization, outperforming the clinically used embolic agents. To simulate the clinical scenario, rabbit VX2 orthotopic liver tumors are treated showing successful trans-arterial delivery of Nivolumab and effective tumor ablation. Furthermore, similar results are also observed in human ex vivo tumor tissue as well as significant susceptibility of highly resistant patient-derived bacteria is seen to ILE, suggesting that ILE can prevent abscess formation in embolized tissue. ILE represents a new class of liquid embolic agents that can treat tumors, improve the delivery of therapeutics, prevent infectious complications, and potentially increase chemo- and immunotherapy response in solid tumors.
Collapse
Affiliation(s)
- Hyeongseop Keum
- The Laboratory for Patient-Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, AZ, 85259, USA
| | - Hassan Albadawi
- The Laboratory for Patient-Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, AZ, 85259, USA
- Division of Vascular and Interventional Radiology, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Zefu Zhang
- The Laboratory for Patient-Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, AZ, 85259, USA
| | - Erin Graf
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Pedro Reck Dos Santos
- The Laboratory for Patient-Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, AZ, 85259, USA
- Department of Cardiothoracic Surgery, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Seyda Gunduz
- The Laboratory for Patient-Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, AZ, 85259, USA
- Department of Medical Oncology, Istinye University Bahcesehir Liv Hospital, Istanbul, 34517, Turkey
| | - Rahmi Oklu
- The Laboratory for Patient-Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, AZ, 85259, USA
- Division of Vascular and Interventional Radiology, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA
| |
Collapse
|
2
|
Zhao B, Wang Y, Hu M, Wu Y, Liu J, Li Q, Dai M, Sun WQ, Zhai G. Auxiliary Diagnosis of Papillary Thyroid Carcinoma Based on Spectral Phenotype. Phenomics 2023; 3:469-484. [PMID: 37881321 PMCID: PMC10593726 DOI: 10.1007/s43657-023-00113-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 10/27/2023]
Abstract
Thyroid cancer, a common endocrine malignancy, is one of the leading death causes among endocrine tumors. The diagnosis of pathological section analysis suffers from diagnostic delay and cumbersome operating procedures. Therefore, we intend to construct the models based on spectral data that can be potentially used for rapid intraoperative papillary thyroid carcinoma (PTC) diagnosis and characterize PTC characteristics. To alleviate any concerns pathologists may have about using the model, we conducted an analysis of the used bands that can be interpreted pathologically. A spectra acquisition system was first built to acquire spectra of pathological section images from 91 patients. The obtained spectral dataset contains 217 spectra of normal thyroid tissue and 217 spectra of PTC tissue. Clinical data of the corresponding patients were collected for subsequent model interpretability analysis. The experiment has been approved by the Ethics Review Committee of the Wuhu Hospital of East China Normal University. The spectral preprocessing method was used to process the spectra, and the preprocessed signal respectively optimized by the first and secondary informative wavelengths selection was used to develop the PTC detection models. The PTC detection model using mean centering (MC) and multiple scattering correction (MSC) has optimal performance, and the reasons for the good performance were analyzed in combination with the spectral acquisition process and composition of the test slide. For model interpretable analysis, the near-ultraviolet band selected for modeling corresponds to the location of amino acid absorption peak, and this is consistent with the clinical phenomenon of significantly lower amino acid concentrations in PTC patients. Moreover, the absorption peak of hemoglobin selected for modeling is consistent with the low hemoglobin index in PTC patients. In addition, the correlation analysis was performed between the selected wavelengths and the clinical data, and the results show: the reflection intensity of selected wavelengths in normal cells has a moderate correlation with cell arrangement structure, nucleus size and free thyroxine (FT4), and has a strong correlation with triiodothyronine (T3); the reflection intensity of selected bands in PTC cells has a moderate correlation with free triiodothyronine (FT3).
Collapse
Affiliation(s)
- Bailiang Zhao
- Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241 China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093 China
| | - Yan Wang
- Department of Pathology, The Second People’s Hospital of Wuhu, Wuhu, 241000 Anhui China
| | - Menghan Hu
- Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241 China
| | - Yue Wu
- Ophthalmology Department, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 610101 China
| | - Jiannan Liu
- Department of Oral Maxillofacial Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Qingli Li
- Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241 China
| | - Min Dai
- Department of Pathology, The Second People’s Hospital of Wuhu, Wuhu, 241000 Anhui China
| | - Wendell Q. Sun
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093 China
| | - Guangtao Zhai
- Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, 200240 China
| |
Collapse
|
3
|
Ikiades A, Bassukas ID, Kourkoumelis N. A Fiber Optic Sensor for Monitoring the Spectral Alterations and Depth in Ex Vivo and In Vivo Cryosurgery. Sensors (Basel) 2023; 23:2690. [PMID: 36904893 PMCID: PMC10007682 DOI: 10.3390/s23052690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 02/24/2023] [Accepted: 02/26/2023] [Indexed: 06/18/2023]
Abstract
This article discusses how to monitor the freezing depth during cryotherapy using a fiber optic array sensor. The sensor was used to measure the backscattered and transmitted light from frozen and unfrozen ex vivo porcine tissue and in vivo human skin tissue (finger). The technique exploited the variations in optical diffusion properties of the frozen and unfrozen tissues to determine the extent of freezing. Ex vivo and in vivo measurements yielded comparable results, despite spectral variations attributable to the hemoglobin absorption peak in the human frozen and unfrozen tissues. However, because the spectral fingerprints of the freeze-thaw process in the ex vivo and in vivo experiments were similar, we could extrapolate the maximum depth of freezing. Therefore, this sensor has the potential to be utilized for monitoring cryosurgery in real time.
Collapse
Affiliation(s)
- Aris Ikiades
- Department of Physics, University of Ioannina, 45110 Ioannina, Greece
| | - Ioannis D. Bassukas
- Department of Skin & Venereal Diseases, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Nikolaos Kourkoumelis
- Department of Medical Physics, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| |
Collapse
|
4
|
Taylor-Williams M, Spicer G, Bale G, Bohndiek SE. Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis. J Biomed Opt 2022; 27:JBO-220074VR. [PMID: 35922891 PMCID: PMC9346606 DOI: 10.1117/1.jbo.27.8.080901] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/27/2022] [Indexed: 05/08/2023]
Abstract
SIGNIFICANCE Measurement and imaging of hemoglobin oxygenation are used extensively in the detection and diagnosis of disease; however, the applied instruments vary widely in their depth of imaging, spatiotemporal resolution, sensitivity, accuracy, complexity, physical size, and cost. The wide variation in available instrumentation can make it challenging for end users to select the appropriate tools for their application and to understand the relative limitations of different methods. AIM We aim to provide a systematic overview of the field of hemoglobin imaging and sensing. APPROACH We reviewed the sensing and imaging methods used to analyze hemoglobin oxygenation, including pulse oximetry, spectral reflectance imaging, diffuse optical imaging, spectroscopic optical coherence tomography, photoacoustic imaging, and diffuse correlation spectroscopy. RESULTS We compared and contrasted the ability of different methods to determine hemoglobin biomarkers such as oxygenation while considering factors that influence their practical application. CONCLUSIONS We highlight key limitations in the current state-of-the-art and make suggestions for routes to advance the clinical use and interpretation of hemoglobin oxygenation information.
Collapse
Affiliation(s)
- Michaela Taylor-Williams
- University of Cambridge, Department of Physics, Cavendish Laboratory, Cambridge, United Kingdom, United Kingdom
- University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom, United Kingdom
| | - Graham Spicer
- University of Cambridge, Department of Physics, Cavendish Laboratory, Cambridge, United Kingdom, United Kingdom
- University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom, United Kingdom
| | - Gemma Bale
- University of Cambridge, Department of Physics, Cavendish Laboratory, Cambridge, United Kingdom, United Kingdom
- University of Cambridge, Electrical Division, Department of Engineering, Cambridge, United Kingdom, United Kingdom
| | - Sarah E Bohndiek
- University of Cambridge, Department of Physics, Cavendish Laboratory, Cambridge, United Kingdom, United Kingdom
- University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom, United Kingdom
| |
Collapse
|
5
|
Lambers H, Wachsmuth L, Thomas D, Boumezbeur F, Hoesker V, Pradier B, Faber C. Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts. Neurophotonics 2022; 9:032212. [PMID: 35558647 PMCID: PMC9084224 DOI: 10.1117/1.nph.9.3.032212] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/06/2022] [Indexed: 06/15/2023]
Abstract
Significance: Fluorescence resonance energy transfer (FRET) sensors offer enormous benefits when studying neurophysiology through confocal microscopy. Yet, their use for fiber-based in vivo recordings is hampered by massive confounding effects and has therefore been scarcely reported. Aim: We aim to investigate whether in vivo fiber-based lactate recordings in the rodent brain are feasible with FRET sensors and implement a correction algorithm for the predominant hemodynamic artifact. Approach: We performed fiber-based FRET recordings of lactate (Laconic) and calcium (Twitch-2B) simultaneously with functional MRI and pharmacological MRI. MR-derived parameters were applied to correct hemodynamic artifacts. Results of FRET measurements were validated by local field potential, magnetic resonance spectroscopy, and blood analysis. Results: Hemodynamic artifacts dominated fiber-based in vivo FRET measurements with both Laconic and Twitch-2B. Our MR-based correction algorithm enabled to remove the artifacts and detect lactate and calcium changes during sensory stimulation or intravenous lactate injections. Conclusions: In vivo fiber-based lactate recordings are feasible using FRET-based sensors. However, signal corrections are required. MR-derived hemodynamic parameters can successfully be applied for artifact correction.
Collapse
Affiliation(s)
- Henriette Lambers
- University Hospital Münster, Translational Research Imaging Center (TRIC), Clinic for Radiology, Münster, Germany
| | - Lydia Wachsmuth
- University Hospital Münster, Translational Research Imaging Center (TRIC), Clinic for Radiology, Münster, Germany
| | - Dominik Thomas
- University Hospital Münster, Translational Research Imaging Center (TRIC), Clinic for Radiology, Münster, Germany
| | - Fawzi Boumezbeur
- NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-Sur-Yvette, France
| | - Vanessa Hoesker
- University Hospital Münster, Translational Research Imaging Center (TRIC), Clinic for Radiology, Münster, Germany
| | - Bruno Pradier
- University Hospital Münster, Translational Research Imaging Center (TRIC), Clinic for Radiology, Münster, Germany
| | - Cornelius Faber
- University Hospital Münster, Translational Research Imaging Center (TRIC), Clinic for Radiology, Münster, Germany
| |
Collapse
|
6
|
Nsiangani A, Del Rosario J, Yeh AC, Shin D, Wells S, Lev-Ari T, Williams B, Haider B. Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex. Sci Rep 2022; 12:2063. [PMID: 35136111 DOI: 10.1038/s41598-022-05932-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 01/18/2022] [Indexed: 12/16/2022] Open
Abstract
Understanding brain function requires repeatable measurements of neural activity across multiple scales and multiple brain areas. In mice, large scale cortical neural activity evokes hemodynamic changes readily observable with intrinsic signal imaging (ISI). Pairing ISI with visual stimulation allows identification of primary visual cortex (V1) and higher visual areas (HVAs), typically through cranial windows that thin or remove the skull. These procedures can diminish long-term mechanical and physiological stability required for delicate electrophysiological measurements made weeks to months after imaging (e.g., in subjects undergoing behavioral training). Here, we optimized and directly validated an intact skull ISI system in mice. We first assessed how imaging quality and duration affect reliability of retinotopic maps in V1 and HVAs. We then verified ISI map retinotopy in V1 and HVAs with targeted, multi-site electrophysiology several weeks after imaging. Reliable ISI maps of V1 and multiple HVAs emerged with ~ 60 trials of imaging (65 ± 6 min), and these showed strong correlation to local field potential (LFP) retinotopy in superficial cortical layers (r2 = 0.74–0.82). This system is thus well-suited for targeted, multi-area electrophysiology weeks to months after imaging. We provide detailed instructions and code for other researchers to implement this system.
Collapse
|
7
|
Dervieux E, Théron M, Uhring W. Carbon Dioxide Sensing-Biomedical Applications to Human Subjects. Sensors (Basel) 2021; 22:188. [PMID: 35009731 PMCID: PMC8749784 DOI: 10.3390/s22010188] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 12/13/2021] [Accepted: 12/20/2021] [Indexed: 02/06/2023]
Abstract
Carbon dioxide (CO2) monitoring in human subjects is of crucial importance in medical practice. Transcutaneous monitors based on the Stow-Severinghaus electrode make a good alternative to the painful and risky arterial "blood gases" sampling. Yet, such monitors are not only expensive, but also bulky and continuously drifting, requiring frequent recalibrations by trained medical staff. Aiming at finding alternatives, the full panel of CO2 measurement techniques is thoroughly reviewed. The physicochemical working principle of each sensing technique is given, as well as some typical merit criteria, advantages, and drawbacks. An overview of the main CO2 monitoring methods and sites routinely used in clinical practice is also provided, revealing their constraints and specificities. The reviewed CO2 sensing techniques are then evaluated in view of the latter clinical constraints and transcutaneous sensing coupled to a dye-based fluorescence CO2 sensing seems to offer the best potential for the development of a future non-invasive clinical CO2 monitor.
Collapse
Affiliation(s)
- Emmanuel Dervieux
- BiOSENCY, 1137a Avenue des Champs Blancs, 35510 Cesson-Sévigné, France
| | - Michaël Théron
- ORPHY, Université de Bretagne Occidentale, 6 Avenue Victor le Gorgeu, 29238 Brest, France;
| | - Wilfried Uhring
- ICube, University of Strasbourg and CNRS, 23 rue du Loess, CEDEX, 67037 Strasbourg, France;
| |
Collapse
|