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Teping F, Okanga B, Oertel J. Portable wireless ultrasound in pediatric neurosurgery: a valuable resource for developing countries. Neurosurg Rev 2025; 48:319. [PMID: 40131491 DOI: 10.1007/s10143-025-03469-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Revised: 02/05/2025] [Accepted: 03/16/2025] [Indexed: 03/27/2025]
Abstract
This investigation assesses the functionality, diagnostic efficacy, and limitations of a portable phased-array ultrasound apparatus in pediatric neurosurgical applications within a resource-constrained environment in Mombasa, Kenya. The ultrasound device was integrated into four neurosurgical missions conducted under the auspices of the SAWUBONA Foundation between 2021-2023. A retrospective analysis was performed on the diagnosed cases. Systematic training was provided to local neurosurgeons to enable autonomous operation of the device. Three representative cases were selected to elucidate the device's utility and constraints. The device was incorporated into the diagnostic and therapeutic regimens for 29 pediatric patients, culminating in 30 surgical interventions. Its diagnostic applicability was primarily confined to pediatric patients below one year of age, with a focus on hydrocephalus management. The apparatus consistently yielded sufficient data for discriminating between shunt placement and endoscopic third ventriculostomy. Its portability rendered it highly valuable across multiple healthcare settings, including outpatient clinics, surgical theaters, and inpatient wards. The educational initiative demonstrated a rapid learning curve among local healthcare professionals, enabling them to independently conduct examinations. The portable phased-array ultrasound device exhibited considerable diagnostic precision, particularly in the assessment and management of hydrocephalic conditions among pediatric patients within their first year of life. Its compact design and user-friendliness position it as a viable instrument for resource-limited environments and for educational enhancement in developing countries.
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Affiliation(s)
- Fritz Teping
- Department of Neurosurgery, Saarland University Faculty of Medicine, Building 90.5 Kirrbergerstrasse 100, Homburg, 68421, Germany.
| | - Benjamin Okanga
- Department of Neurosurgery, Coast General Teaching and Referral Hospital, Mombasa, Kenya
| | - Joachim Oertel
- Department of Neurosurgery, Saarland University Faculty of Medicine, Building 90.5 Kirrbergerstrasse 100, Homburg, 68421, Germany
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2
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Bennett R, Barrett T, Gnanapragasam VJ, Tse Z. Surface-Based Ultrasound Scans for the Screening of Prostate Cancer. IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2024; 6:212-218. [PMID: 39698116 PMCID: PMC11655114 DOI: 10.1109/ojemb.2024.3503494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 09/17/2024] [Accepted: 11/15/2024] [Indexed: 12/20/2024] Open
Abstract
Surface-based ultrasound (SUS) systems have undergone substantial improvement over the years in image quality, ease-of-use, and reduction in size. Their ability to image organs non-invasively makes them a prime technology for the diagnosis and monitoring of various diseases and conditions. An example is the screening/risk- stratification of prostate cancer (PCa) using prostate-specific antigen density (PSAD). Current literature predominantly focuses on prostate volume (PV) estimation techniques that make use of magnetic resonance imaging (MRI) or transrectal ultrasound (TRUS) imaging, while SUS techniques are largely overlooked. If a reliable SUS PCa screening method can be introduced, patients may be able to forgo unnecessary MRI or TRUS scans. Such a screening procedure could be introduced into standard primary care settings with point-of-care ultrasound systems available at a fraction of the cost of their larger hospital counterparts. This review analyses whether literature suggests it is possible to use SUS-derived PV in the calculation of PSAD.
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Affiliation(s)
- Rory Bennett
- School of Engineering and Materials ScienceQueen Mary University of LondonE1 4NSLondonU.K.
| | - Tristan Barrett
- Department of Radiology, Addenbrooke's HospitalUniversity of Cambridge School of Clinical MedicineCB2 0QQCambridgeU.K.
| | - Vincent J. Gnanapragasam
- Department of Radiology, Addenbrooke's HospitalUniversity of Cambridge School of Clinical MedicineCB2 0QQCambridgeU.K.
| | - Zion Tse
- School of Engineering and Materials ScienceQueen Mary University of LondonE1 4NSLondonU.K.
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3
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Dede BT, Aytekin E, Bağcier F. Measures of acromiohumeral distance with wireless ultrasound machine in subacromial impingement syndrome: an inter-machine reliability study. J Ultrason 2024; 24:1-5. [PMID: 39525597 PMCID: PMC11546899 DOI: 10.15557/jou.2024.0018] [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: 07/10/2023] [Accepted: 01/11/2024] [Indexed: 11/16/2024] Open
Abstract
Aim Shoulder pain is the third most prevalent musculoskeletal condition that impairs function. Subacromial impingement syndrome is among the most typical causes of shoulder pain. The aim of this study was to evaluate inter-machine reliability of acromiohumeral distance measurements performed with standard ultrasound and wireless ultrasound devices in patients with subacromial impingement syndrome. Material and methods A total of 61 participants diagnosed with subacromial impingement syndrome were included. Acromiohumeral distance was measured with wireless and standard ultrasound devices in a neutral position and at 60-degree abduction, respectively. The inter-machine intraclass correlation coefficient, standard error of measurements, and minimum detectable changes were calculated. Results Inter-machine reliability measured in the neutral position was excellent (ICC = 0.97, 95% CI = 0.95-0.98); the standard error of measurement was 0.23 mm, and the minimum detectable change was 0.63 mm. Inter-machine reliability measured at 60 degrees abduction was excellent as well (ICC = 0.96; 95% CI; 0.93-0.97). The standard error of measurements was 0.20 mm, and the minimum detectable change was 0.55 mm. The mean difference between the two machines was 0.04 mm for the neutral position and 0.02 mm for the 60-degree abduction position. Conclusions The study showed that wireless ultrasound devices were similar to standard ultrasound devices in measuring the acromiohumeral distance in patients with subacromial impingement syndrome. The findings could contribute to a significant improvement in the clinical use of wireless ultrasound devices.
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Affiliation(s)
- Burak Tayyip Dede
- Department of Physical Medicine and Rehabilitation, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Ebru Aytekin
- Department of Physical Medicine and Rehabilitation, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Fatih Bağcier
- Department of Physical Medicine and Rehabilitation, Başakşehir Çam and Sakura City Hospital, Istanbul, Turkey
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4
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Giangregorio F, Mosconi E, Debellis MG, Palermo E, Provini S, Mendozza M, Ricevuti L, Esposito C. Bedside Clinical Hand-held Ultrasound in an Internal Medicine Department: The "Bed Med-Us" Experience of Codogno and its Clinical Utility in the Management of Diagnosis and Therapy in 1007 Patients. Ultrasound Int Open 2024; 10:a21961599. [PMID: 38304447 PMCID: PMC10829908 DOI: 10.1055/a-2196-1599] [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: 05/29/2023] [Accepted: 10/22/2023] [Indexed: 02/03/2024] Open
Abstract
Purpose Handheld ultrasound (HH-US) answers simple clinical questions in emergencies. We performed conventional US with HH-US at the patient's bedside (BED) during a medical visit (MED) (BED MED-US). The purpose of this prospective study is to estimate BED MED-US reliability, its clinical impact in helping the clinician to formulate correct diagnoses, and its ability to save time and money. Materials and Methods 1007 patients (519 M; age:76.42) were assessed (from March 2021 to November 2022) in one or more districts. Final diagnosis was determined with clinical and reference tests (chest RX/CT, abdominal CT, endoscopy, etc.). Sensitivity, specificity, LR+ and LR-, and corresponding AUROC were evaluated. HH-US diagnoses were classified as: confirmation (HH-US revealed the sonographic signs that confirmed the clinical diagnosis) (CO), exclusion (HH-US excluded the presence of the ultrasound signs of other pathologies, in the clinical differential diagnosis) (EX), etiological (HH-US reaches diagnosis in clinically doubtful cases) (ET), or clinically relevant incidental (HH-US diagnoses that change the patient's process completely) (INC). Results HH-US reliability: true-pos: 752; true-neg: 242; false-pos: 7; false-neg: 6 (sens: 99.1%, spec: 97.6%, LR+: 98.5; LR-: 00.15, AUROC: 0.997); clinical impact: CO-diagnosis: 21%; EX: 25%; ET: 47%; INC: 7%; saved time and money: approximately 35,572 minutes of work and 9324 euros. Conclusion BED MED-US is a reliable clinical imaging system, with an important clinical impact both in diagnosis (etiological in 47%, incidental in 7%) and in the management of personnel resources.
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Lophatananon A, Light A, Burns-Cox N, Maccormick A, John J, Otti V, McGrath J, Archer P, Anning J, McCracken S, Page T, Muir K, Gnanapragasam VJ. Re-evaluating the diagnostic efficacy of PSA as a referral test to detect clinically significant prostate cancer in contemporary MRI-based image-guided biopsy pathways. JOURNAL OF CLINICAL UROLOGY 2023; 16:264-273. [PMID: 37614642 PMCID: PMC7614972 DOI: 10.1177/20514158211059057] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
Introduction Modern image-guided biopsy pathways at diagnostic centres have greatly refined the investigations of men referred with suspected prostate cancer. However, the referral criteria from primary care are still based on historical prostate-specific antigen (PSA) cut-offs and age-referenced thresholds. Here, we tested whether better contemporary pathways and biopsy methods had improved the predictive utility value of PSA referral thresholds. Methods PSA referral thresholds, age-referenced ranges and PSA density (PSAd) were assessed for positive predictive value (PPV) in detection of clinically significant prostate cancer (csPCa - histological ⩾ Grade Group 2). Data were analysed from men referred to three diagnostics centres who used multi-parametric magnetic resonance imaging (mpMRI)-guided prostate biopsies for disease characterisation. Findings were validated in a separate multicentre cohort. Results: Data from 2767 men were included in this study. The median age, PSA and PSAd were 66.4 years, 7.3 ng/mL and 0.1 ng/mL2, respectively. Biopsy detected csPCa was found in 38.7%. The overall area under the curve (AUC) for PSA was 0.68 which is similar to historical performance. A PSA threshold of ⩾ 3 ng/mL had a PPV of 40.3%, but this was age dependent (PPV: 24.8%, 32.7% and 56.8% in men 50-59 years, 60-69 years and ⩾ 70 years, respectively). Different PSA cut-offs and age-reference ranges failed to demonstrate better performance. PSAd demonstrated improved AUC (0.78 vs 0.68, p < 0.0001) and improved PPV compared to PSA. A PSAd of ⩾ 0.10 had a PPV of 48.2% and similar negative predictive value (NPV) to PSA ⩾ 3 ng/mL and out-performed PSA age-reference ranges. This improved performance was recapitulated in a separate multi-centre cohort (n = 541). Conclusion The introduction of MRI-based image-guided biopsy pathways does not appear to have altered PSA diagnostic test characteristics to positively detect csPCa. We find no added value to PSA age-referenced ranges, while PSAd offers better PPV and the potential for a single clinically useful threshold (⩾0.10) for all age groups. Level of evidence IV.
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Affiliation(s)
- Artitaya Lophatananon
- Division of Population Health, Health Services Research & Primary Care Centre, University of Manchester, UK
| | - Alexander Light
- Division of Urology, Department of Surgery, University of Cambridge, UK
- Department of Urology, Cambridge University Hospitals NHS Foundation Trust, UK
| | | | | | - Joseph John
- Department of Urology, Royal Devon and Exeter NHS Foundation Trust and University of Exeter, UK
| | - Vanessa Otti
- Department of Urology, Royal Devon and Exeter NHS Foundation Trust and University of Exeter, UK
| | - John McGrath
- Department of Urology, Royal Devon and Exeter NHS Foundation Trust and University of Exeter, UK
| | - Pete Archer
- Department of Urology, Southend Hospital, UK
| | | | - Stuart McCracken
- Department of Urology, South Tyneside and Sunderland NHS Trust, UK
| | - Toby Page
- Department of Urology, Newcastle Hospitals NHS Trust, UK
| | - Ken Muir
- Division of Population Health, Health Services Research & Primary Care Centre, University of Manchester, UK
| | - Vincent J Gnanapragasam
- Division of Urology, Department of Surgery, University of Cambridge, UK
- Department of Urology, Cambridge University Hospitals NHS Foundation Trust, UK
- Cambridge Urology Translational Research and Clinical Trials Office, Addenbrooke’s Hospital, UK
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Aghabaglou F, Ainechi A, Abramson H, Curry E, Kaovasia TP, Kamal S, Acord M, Mahapatra S, Pustavoitau A, Smith B, Azadi J, Son JK, Suk I, Theodore N, Tyler BM, Manbachi A. Ultrasound monitoring of microcirculation: An original study from the laboratory bench to the clinic. Microcirculation 2022; 29:e12770. [PMID: 35611457 PMCID: PMC9786257 DOI: 10.1111/micc.12770] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 04/08/2022] [Accepted: 05/20/2022] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Monitoring microcirculation and visualizing microvasculature are critical for providing diagnosis to medical professionals and guiding clinical interventions. Ultrasound provides a medium for monitoring and visualization; however, there are challenges due to the complex microscale geometry of the vasculature and difficulties associated with quantifying perfusion. Here, we studied established and state-of-the-art ultrasonic modalities (using six probes) to compare their detection of slow flow in small microvasculature. METHODS Five ultrasonic modalities were studied: grayscale, color Doppler, power Doppler, superb microvascular imaging (SMI), and microflow imaging (MFI), using six linear probes across two ultrasound scanners. Image readability was blindly scored by radiologists and quantified for evaluation. Vasculature visualization was investigated both in vitro (resolution and flow characterization) and in vivo (fingertip microvasculature detection). RESULTS Superb Microvascular Imaging (SMI) and Micro Flow Imaging (MFI) modalities provided superior images when compared with conventional ultrasound imaging modalities both in vitro and in vivo. The choice of probe played a significant difference in detectability. The slowest flow detected (in the lab) was 0.1885 ml/s and small microvasculature of the fingertip were visualized. CONCLUSIONS Our data demonstrated that SMI and MFI used with vascular probes operating at higher frequencies provided resolutions acceptable for microvasculature visualization, paving the path for future development of ultrasound devices for microcirculation monitoring.
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Affiliation(s)
- Fariba Aghabaglou
- Department of Neurosurgery, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA,Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Ana Ainechi
- Department of Neurosurgery, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Haley Abramson
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Eli Curry
- Department of Neurosurgery, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA,Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Tarana Parvez Kaovasia
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Serene Kamal
- HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA,Department of Electrical and Computer EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Molly Acord
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Smruti Mahapatra
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Aliaksei Pustavoitau
- Department of Anesthesiology and Critical Care, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Beth Smith
- Department of Radiology and Radiological Science, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Javad Azadi
- Department of Radiology and Radiological Science, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Jennifer K. Son
- Department of Radiology and Radiological Science, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Ian Suk
- Department of Neurosurgery, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Nicholas Theodore
- Department of Neurosurgery, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Betty M. Tyler
- Department of Neurosurgery, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Amir Manbachi
- Department of Neurosurgery, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA,Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA,HEPIUS Innovation Laboratory, School of MedicineJohns Hopkins UniversityBaltimoreMarylandUSA,Department of Electrical and Computer EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA,Department of Mechanical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA
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7
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Ossola C, Piacentino F, Fontana F, Curti M, Zorzetto G, Coppola A, Carcano G, Venturini M. Pocket-sized, wireless-Bluetooth ultrasound system to perform diagnostic and low-complexity interventional procedures in bedridden patients during the COVID-19 pandemic: from intensive care unit to domiciliary service? Eur Radiol Exp 2022; 6:20. [PMID: 35534781 PMCID: PMC9085369 DOI: 10.1186/s41747-022-00273-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 03/25/2022] [Indexed: 11/10/2022] Open
Abstract
The use of a pocked-sized, wireless-Bluetooth ultrasound portable system with display images presented on a tablet facilitated the work of our radiologists during the first wave of coronavirus disease 2019 (COVID-19) to perform diagnostic and interventional procedures in bedridden patients. The device is equipped with a battery-powered probe without cables that transmits images to a tablet (or a cell phone) through a dedicated App. We hypothesise in future to extend diagnostic and low-complexity interventional procedures from hospitalised patients to at-home patients who are not able to mobilise out of bed or are difficult to transport. This domiciliary service might also reduce the overhead of hospital accesses.
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Affiliation(s)
- Christian Ossola
- Department of Diagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy
| | - Filippo Piacentino
- Department of Diagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy
| | - Federico Fontana
- Department of Diagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy
| | - Marco Curti
- Department of Diagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy
| | - Giada Zorzetto
- Department of Diagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy
| | - Andrea Coppola
- Department of Diagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy
| | - Giulio Carcano
- Department of General, Emergency and Transplants Surgery, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy
| | - Massimo Venturini
- Department of Diagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy.
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Schoen S, Kilinc MS, Lee H, Guo Y, Degertekin FL, Woodworth GF, Arvanitis C. Towards controlled drug delivery in brain tumors with microbubble-enhanced focused ultrasound. Adv Drug Deliv Rev 2022; 180:114043. [PMID: 34801617 PMCID: PMC8724442 DOI: 10.1016/j.addr.2021.114043] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 09/27/2021] [Accepted: 11/04/2021] [Indexed: 02/06/2023]
Abstract
Brain tumors are particularly challenging malignancies, due to their location in a structurally and functionally distinct part of the human body - the central nervous system (CNS). The CNS is separated and protected by a unique system of brain and blood vessel cells which together prevent most bloodborne therapeutics from entering the brain tumor microenvironment (TME). Recently, great strides have been made through microbubble (MB) ultrasound contrast agents in conjunction with ultrasound energy to locally increase the permeability of brain vessels and modulate the brain TME. As we elaborate in this review, this physical method can effectively deliver a wide range of anticancer agents, including chemotherapeutics, antibodies, and nanoparticle drug conjugates across a range of preclinical brain tumors, including high grade glioma (glioblastoma), diffuse intrinsic pontine gliomas, and brain metastasis. Moreover, recent evidence suggests that this technology can promote the effective delivery of novel immunotherapeutic agents, including immune check-point inhibitors and chimeric antigen receptor T cells, among others. With early clinical studies demonstrating safety, and several Phase I/II trials testing the preclinical findings underway, this technology is making firm steps towards shaping the future treatments of primary and metastatic brain cancer. By elaborating on its key components, including ultrasound systems and MB technology, along with methods for closed-loop spatial and temporal control of MB activity, we highlight how this technology can be tuned to enable new, personalized treatment strategies for primary brain malignancies and brain metastases.
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Affiliation(s)
- Scott Schoen
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - M. Sait Kilinc
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Hohyun Lee
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Yutong Guo
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - F. Levent Degertekin
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Graeme F. Woodworth
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA,Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, College Park, MD 20742, USA,Fischell Department of Bioengineering A. James Clarke School of Engineering, University of Maryland
| | - Costas Arvanitis
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA,Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
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