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Christou AS, Amalou A, Lee H, Rivera J, Li R, Kassin MT, Varble N, Tsz Ho Tse Z, Xu S, Wood BJ. Image-Guided Robotics for Standardized and Automated Biopsy and Ablation. Semin Intervent Radiol 2021; 38:565-575. [PMID: 34853503 DOI: 10.1055/s-0041-1739164] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Image-guided robotics for biopsy and ablation aims to minimize procedure times, reduce needle manipulations, radiation, and complications, and enable treatment of larger and more complex tumors, while facilitating standardization for more uniform and improved outcomes. Robotic navigation of needles enables standardized and uniform procedures which enhance reproducibility via real-time precision feedback, while avoiding radiation exposure to the operator. Robots can be integrated with computed tomography (CT), cone beam CT, magnetic resonance imaging, and ultrasound and through various techniques, including stereotaxy, table-mounted, floor-mounted, and patient-mounted robots. The history, challenges, solutions, and questions facing the field of interventional radiology (IR) and interventional oncology are reviewed, to enable responsible clinical adoption and value definition via ergonomics, workflows, business models, and outcome data. IR-integrated robotics is ready for broader adoption. The robots are coming!
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Affiliation(s)
- Anna S Christou
- Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland
| | - Amel Amalou
- Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland
| | - HooWon Lee
- Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland
| | - Jocelyne Rivera
- Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland
| | - Rui Li
- Tandon School of Engineering, New York University, Brooklyn, New York
| | - Michael T Kassin
- Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland
| | - Nicole Varble
- Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.,Philips Research North America, Cambridge, Massachusetts
| | - Zion Tsz Ho Tse
- Department of Electrical Engineering, University of York, Heslington, York, United Kingdom
| | - Sheng Xu
- Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland
| | - Bradford J Wood
- Center for Interventional Oncology, National Institutes of Health, Bethesda, Maryland.,Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Maryland.,National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Maryland
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2
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Kassin MT, Varble N, Blain M, Xu S, Turkbey EB, Harmon S, Yang D, Xu Z, Roth H, Xu D, Flores M, Amalou A, Sun K, Kadri S, Patella F, Cariati M, Scarabelli A, Stellato E, Ierardi AM, Carrafiello G, An P, Turkbey B, Wood BJ. Generalized chest CT and lab curves throughout the course of COVID-19. Sci Rep 2021; 11:6940. [PMID: 33767213 PMCID: PMC7994835 DOI: 10.1038/s41598-021-85694-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 03/03/2021] [Indexed: 12/16/2022] Open
Abstract
A better understanding of temporal relationships between chest CT and labs may provide a reference for disease severity over the disease course. Generalized curves of lung opacity volume and density over time can be used as standardized references from well before symptoms develop to over a month after recovery, when residual lung opacities remain. 739 patients with COVID-19 underwent CT and RT-PCR in an outbreak setting between January 21st and April 12th, 2020. 29 of 739 patients had serial exams (121 CTs and 279 laboratory measurements) over 50 ± 16 days, with an average of 4.2 sequential CTs each. Sequential volumes of total lung, overall opacity and opacity subtypes (ground glass opacity [GGO] and consolidation) were extracted using deep learning and manual segmentation. Generalized temporal curves of CT and laboratory measurements were correlated. Lung opacities appeared 3.4 ± 2.2 days prior to symptom onset. Opacity peaked 1 day after symptom onset. GGO onset was earlier and resolved later than consolidation. Lactate dehydrogenase, and C-reactive protein peaked earlier than procalcitonin and leukopenia. The temporal relationships of quantitative CT features and clinical labs have distinctive patterns and peaks in relation to symptom onset, which may inform early clinical course in patients with mild COVID-19 pneumonia, or may shed light upon chronic lung effects or mechanisms of medical countermeasures in clinical trials.
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Affiliation(s)
- Michael T Kassin
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.,Radiology and Imaging Sciences, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892-1182, USA
| | - Nicole Varble
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.,Philips Research North America, Cambridge, MA, 02141, USA
| | - Maxime Blain
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Sheng Xu
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Evrim B Turkbey
- Radiology and Imaging Sciences, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892-1182, USA
| | - Stephanie Harmon
- National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.,Clinical Research Directorate, Frederick National Laboratory for Cancer Research, NCI, Frederick, MD, 21702, USA.,Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Dong Yang
- NVIDIA Corporation, Bethesda, MD, 20892, USA
| | - Ziyue Xu
- NVIDIA Corporation, Bethesda, MD, 20892, USA
| | - Holger Roth
- NVIDIA Corporation, Bethesda, MD, 20892, USA
| | - Daguang Xu
- NVIDIA Corporation, Bethesda, MD, 20892, USA
| | - Mona Flores
- NVIDIA Corporation, Santa Clara, CA, 95051, USA
| | - Amel Amalou
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Kaiyun Sun
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Sameer Kadri
- Critical Care Medicine Department, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Francesca Patella
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, Milan, Italy
| | - Maurizio Cariati
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, Milan, Italy
| | - Alice Scarabelli
- Postgraduate School of Diagnostic and Interventional Radiology, University of Milan, Milan, Italy
| | - Elvira Stellato
- Postgraduate School of Diagnostic and Interventional Radiology, University of Milan, Milan, Italy
| | - Anna Maria Ierardi
- Department of Radiology and Department of Health Sciences, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico and University of Milano, 20122, Milan, Italy
| | - Gianpaolo Carrafiello
- Department of Radiology and Department of Health Sciences, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico and University of Milano, 20122, Milan, Italy
| | - Peng An
- Department of Radiology, Xiangyang NO. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang, Hubei, 441000, China
| | - Baris Turkbey
- National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.,Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Bradford J Wood
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. .,Radiology and Imaging Sciences, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892-1182, USA. .,National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. .,National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, 20892, USA.
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3
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Varble N, Blain M, Kassin M, Xu S, Turkbey EB, Amalou A, Long D, Harmon S, Sanford T, Yang D, Xu Z, Xu D, Flores M, An P, Carrafiello G, Obinata H, Mori H, Tamura K, Malayeri AA, Holland SM, Palmore T, Sun K, Turkbey B, Wood BJ. Correction to: CT and clinical assessment in asymptomatic and pre-symptomatic patients with early SARS-CoV-2 in outbreak settings. Eur Radiol 2020; 31:4406. [PMID: 33289876 PMCID: PMC7722255 DOI: 10.1007/s00330-020-07552-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Nicole Varble
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
- Philips Research North America, Cambridge, MA, USA
| | - Maxime Blain
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Michael Kassin
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
- Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Sheng Xu
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Evrim B Turkbey
- Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Amel Amalou
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Dilara Long
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Stephanie Harmon
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Clinical Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD, USA
| | - Thomas Sanford
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Dong Yang
- Nvidia Corporation, Bethesda, MD, USA
| | - Ziyue Xu
- Nvidia Corporation, Bethesda, MD, USA
| | | | | | - Peng An
- Department of Radiology, Xiangyang NO. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang, Hubei, China
| | - Gianpaolo Carrafiello
- Department of Radiology, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Health Sciences, University of Milano, Milan, Italy
| | | | - Hitoshi Mori
- Self-Defense Forces Central Hospital, Tokyo, Japan
| | - Kaku Tamura
- Self-Defense Forces Central Hospital, Tokyo, Japan
| | - Ashkan A Malayeri
- Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Steven M Holland
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Tara Palmore
- Hospital Epidemiology Service, NIH Clinical Center, Bethesda, MD, USA
| | - Kaiyuan Sun
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | - Baris Turkbey
- Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bradford J Wood
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA.
- Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA.
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
- National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA.
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4
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Varble N, Blain M, Kassin M, Xu S, Turkbey EB, Amalou A, Long D, Harmon S, Sanford T, Yang D, Xu Z, Xu D, Flores M, An P, Carrafiello G, Obinata H, Mori H, Tamura K, Malayeri AA, Holland SM, Palmore T, Sun K, Turkbey B, Wood BJ. CT and clinical assessment in asymptomatic and pre-symptomatic patients with early SARS-CoV-2 in outbreak settings. Eur Radiol 2020; 31:3165-3176. [PMID: 33146796 PMCID: PMC7610169 DOI: 10.1007/s00330-020-07401-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 09/03/2020] [Accepted: 10/09/2020] [Indexed: 02/08/2023]
Abstract
Objectives The early infection dynamics of patients with SARS-CoV-2 are not well understood. We aimed to investigate and characterize associations between clinical, laboratory, and imaging features of asymptomatic and pre-symptomatic patients with SARS-CoV-2. Methods Seventy-four patients with RT-PCR-proven SARS-CoV-2 infection were asymptomatic at presentation. All were retrospectively identified from 825 patients with chest CT scans and positive RT-PCR following exposure or travel risks in outbreak settings in Japan and China. CTs were obtained for every patient within a day of admission and were reviewed for infiltrate subtypes and percent with assistance from a deep learning tool. Correlations of clinical, laboratory, and imaging features were analyzed and comparisons were performed using univariate and multivariate logistic regression. Results Forty-eight of 74 (65%) initially asymptomatic patients had CT infiltrates that pre-dated symptom onset by 3.8 days. The most common CT infiltrates were ground glass opacities (45/48; 94%) and consolidation (22/48; 46%). Patient body temperature (p < 0.01), CRP (p < 0.01), and KL-6 (p = 0.02) were associated with the presence of CT infiltrates. Infiltrate volume (p = 0.01), percent lung involvement (p = 0.01), and consolidation (p = 0.043) were associated with subsequent development of symptoms. Conclusions COVID-19 CT infiltrates pre-dated symptoms in two-thirds of patients. Body temperature elevation and laboratory evaluations may identify asymptomatic patients with SARS-CoV-2 CT infiltrates at presentation, and the characteristics of CT infiltrates could help identify asymptomatic SARS-CoV-2 patients who subsequently develop symptoms. The role of chest CT in COVID-19 may be illuminated by a better understanding of CT infiltrates in patients with early disease or SARS-CoV-2 exposure. Key Points • Forty-eight of 74 (65%) pre-selected asymptomatic patients with SARS-CoV-2 had abnormal chest CT findings. • CT infiltrates pre-dated symptom onset by 3.8 days (range 1–5). • KL-6, CRP, and elevated body temperature identified patients with CT infiltrates. Higher infiltrate volume, percent lung involvement, and pulmonary consolidation identified patients who developed symptoms.
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Affiliation(s)
- Nicole Varble
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA.,Philips Research North America, Cambridge, MA, USA
| | - Maxime Blain
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Michael Kassin
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA.,Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Sheng Xu
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Evrim B Turkbey
- Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Amel Amalou
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Dilara Long
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Stephanie Harmon
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.,Clinical Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD, USA
| | - Thomas Sanford
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA.,National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.,State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Dong Yang
- Nvidia Corporation, Bethesda, MD, USA
| | - Ziyue Xu
- Nvidia Corporation, Bethesda, MD, USA
| | | | | | - Peng An
- Department of Radiology, Xiangyang NO. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang, Hubei, China
| | - Gianpaolo Carrafiello
- Department of Radiology, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.,Department of Health Sciences, University of Milano, Milan, Italy
| | | | - Hitoshi Mori
- Self-Defense Forces Central Hospital, Tokyo, Japan
| | - Kaku Tamura
- Self-Defense Forces Central Hospital, Tokyo, Japan
| | - Ashkan A Malayeri
- Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Steven M Holland
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Tara Palmore
- Hospital Epidemiology Service, NIH Clinical Center, Bethesda, MD, USA
| | - Kaiyuan Sun
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | - Baris Turkbey
- Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA.,National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bradford J Wood
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA. .,Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA. .,National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. .,National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA.
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5
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Harmon SA, Sanford TH, Xu S, Turkbey EB, Roth H, Xu Z, Yang D, Myronenko A, Anderson V, Amalou A, Blain M, Kassin M, Long D, Varble N, Walker SM, Bagci U, Ierardi AM, Stellato E, Plensich GG, Franceschelli G, Girlando C, Irmici G, Labella D, Hammoud D, Malayeri A, Jones E, Summers RM, Choyke PL, Xu D, Flores M, Tamura K, Obinata H, Mori H, Patella F, Cariati M, Carrafiello G, An P, Wood BJ, Turkbey B. Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. Nat Commun 2020; 11:4080. [PMID: 32796848 PMCID: PMC7429815 DOI: 10.1038/s41467-020-17971-2] [Citation(s) in RCA: 254] [Impact Index Per Article: 63.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 07/13/2020] [Indexed: 02/06/2023] Open
Abstract
Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of CT scans for differentiation of COVID-19 findings from other clinical entities. Here we show that a series of deep learning algorithms, trained in a diverse multinational cohort of 1280 patients to localize parietal pleura/lung parenchyma followed by classification of COVID-19 pneumonia, can achieve up to 90.8% accuracy, with 84% sensitivity and 93% specificity, as evaluated in an independent test set (not included in training and validation) of 1337 patients. Normal controls included chest CTs from oncology, emergency, and pneumonia-related indications. The false positive rate in 140 patients with laboratory confirmed other (non COVID-19) pneumonias was 10%. AI-based algorithms can readily identify CT scans with COVID-19 associated pneumonia, as well as distinguish non-COVID related pneumonias with high specificity in diverse patient populations.
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Affiliation(s)
- Stephanie A Harmon
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Clinical Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Thomas H Sanford
- State University of New York-Upstate Medical Center, Syracuse, NY, USA
| | - Sheng Xu
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Evrim B Turkbey
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | | | - Ziyue Xu
- NVIDIA Corporation, Bethesda, MD, USA
| | - Dong Yang
- NVIDIA Corporation, Bethesda, MD, USA
| | | | - Victoria Anderson
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Amel Amalou
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Maxime Blain
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Michael Kassin
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Dilara Long
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Nicole Varble
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
- Philips Research North America, Cambridge, MA, USA
| | - Stephanie M Walker
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ulas Bagci
- Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA
| | - Anna Maria Ierardi
- Department of Radiology Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico Milano, Milan, Italy
| | - Elvira Stellato
- Department of Radiology Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico Milano, Milan, Italy
| | - Guido Giovanni Plensich
- Department of Radiology Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico Milano, Milan, Italy
| | - Giuseppe Franceschelli
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | - Cristiano Girlando
- Postgraduation School in Radiodiagnostics, Università Degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Giovanni Irmici
- Postgraduation School in Radiodiagnostics, Università Degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Dominic Labella
- State University of New York-Upstate Medical Center, Syracuse, NY, USA
| | - Dima Hammoud
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Ashkan Malayeri
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Elizabeth Jones
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Ronald M Summers
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Peter L Choyke
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Kaku Tamura
- Self-Defense Forces Central Hospital, Tokyo, Japan
| | | | - Hitoshi Mori
- Self-Defense Forces Central Hospital, Tokyo, Japan
| | - Francesca Patella
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | - Maurizio Cariati
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | - Gianpaolo Carrafiello
- Department of Radiology Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico Milano, Milan, Italy
- Department of Health Sciences, University of Milano, Milan, Italy
| | - Peng An
- Department of Radiology, Xiangyang NO.1 People's Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China
| | - Bradford J Wood
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA.
| | - Baris Turkbey
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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6
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Amalou A, Turkbey B, Xu S, Turkbey E, An P, Carrafiello G, Ierardi AM, Suh R, Amalou H, Wood BJ. Disposable Isolation Device to Reduce COVID-19 Contamination During CT Scanning. Acad Radiol 2020; 27:1119-1125. [PMID: 32499157 PMCID: PMC7247507 DOI: 10.1016/j.acra.2020.05.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 05/17/2020] [Accepted: 05/18/2020] [Indexed: 12/24/2022]
Abstract
Rationale and Objectives The use of chest computed tomography (CT) in the era of the COVID-19 pandemic raises concern regarding the transmission risks to patients and staff caused by CT room contamination. Meanwhile the Center for Disease Control guidance for air exchange in between patients may heavily impact workflows. To design a portable custom isolation device to reduce imaging equipment contamination during a pandemic. Materials and Methods Center for Disease Control air exchange guidelines and requirements were reviewed. Device functional requirements were outlined and designed. Engineering requirements were reviewed. Methods of practice and risk mitigation plans were outlined including donning and doffing procedures and failure modes. Cost impact was assessed in terms of CT patient throughput. Results CT air exchange solutions and alternatives were reviewed. Multiple isolation bag device designs were considered. Several designs were custom fabricated, prototyped and reduced to practice. A final design was tested on volunteers for comfort, test-fit, air seal, and breathability. Less than 14 times enhanced patient throughput was estimated, in an ideal setting, which could more than counterbalance the cost of the device itself. Conclusion A novel isolation bag device is feasible for use in CT and might facilitate containment and reduce contamination in radiology departments during the COVID Pandemic.
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7
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Ierardi AM, Wood BJ, Arrichiello A, Bottino N, Bracchi L, Forzenigo L, Andrisani MC, Vespro V, Bonelli C, Amalou A, Turkbey EB, Turkbey BI, Granata G, Pinto A, Grasselli G, Stocchetti N, Carrafiello G. Preparation of a radiology department in an Italian hospital dedicated to COVID-19 patients. Radiol Med 2020; 125:894-901. [PMID: 32654028 PMCID: PMC7352089 DOI: 10.1007/s11547-020-01248-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 07/02/2020] [Indexed: 11/25/2022]
Abstract
Preparedness for the ongoing coronavirus disease 2019 (COVID-19) and its spread in Italy called for setting up of adequately equipped and dedicated health facilities to manage sick patients while protecting healthcare workers, uninfected patients, and the community. In our country, in a short time span, the demand for critical care beds exceeded supply. A new sequestered hospital completely dedicated to intensive care (IC) for isolated COVID-19 patients needed to be designed, constructed, and deployed. Along with this new initiative, the new concept of "Pandemic Radiology Unit" was implemented as a practical solution to the emerging crisis, born out of a critical and urgent acute need. The present article describes logistics, planning, and practical design issues for such a pandemic radiology and critical care unit (e.g., space, infection control, safety of healthcare workers, etc.) adopted in the IC Hospital Unit for the care and management of COVID-19 patients.
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Affiliation(s)
- Anna Maria Ierardi
- Radiology Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122, Milan, Italy.
| | - Bradford J Wood
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Antonio Arrichiello
- Radiology Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122, Milan, Italy
| | - Nicola Bottino
- Department of Anesthesia and Critical Care, Fondazione IRCCS Cà Granda Ospedale Maggiore, Milan, Italy
| | - Laura Bracchi
- Cerba Healthcare Italia, sede CURIE, Viale Liguria, 37, 20093, Cologno Monzese, MI, Italy
| | - Laura Forzenigo
- Radiology Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122, Milan, Italy
| | - Maria Carmela Andrisani
- Radiology Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122, Milan, Italy
| | - Valentina Vespro
- Radiology Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122, Milan, Italy
| | - Cristian Bonelli
- Healthcare Professionals Department, Foundation IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Amel Amalou
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Evrim B Turkbey
- Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Baris I Turkbey
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Giuseppe Granata
- Radiology Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122, Milan, Italy
| | - Antonio Pinto
- Department of Radiology, CTO Hospital, Azienda dei Colli, Naples, Italy
| | - Giacomo Grasselli
- Department of Anesthesia and Critical Care, Fondazione IRCCS Cà Granda Ospedale Maggiore, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Nino Stocchetti
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Gianpaolo Carrafiello
- Radiology Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122, Milan, Italy
- Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
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8
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Amalou A, Türkbey B, Sanford T, Harmon S, Türkbey EB, Xu S, An P, Carrafiello G, Cariati M, Patella F, Obinata H, Mori H, Sun K, Spiro DJ, Suh R, Amalou H, Wood BJ. Targeted early chest CT in COVID-19 outbreaks as diagnostic tool for containment of the pandemic-A multinational opinion. Diagn Interv Radiol 2020; 26:292-295. [PMID: 32352918 PMCID: PMC7360068 DOI: 10.5152/dir.2020.20231] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 04/15/2020] [Indexed: 01/19/2023]
Affiliation(s)
- Amel Amalou
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Barış Türkbey
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Tom Sanford
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Stephanie Harmon
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Evrim B. Türkbey
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Sheng Xu
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Peng An
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Gianpaolo Carrafiello
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Maurizio Cariati
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Francesca Patella
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Hirofumi Obinata
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Hitoshi Mori
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Kaiyuan Sun
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - David J. Spiro
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Robert Suh
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Hayet Amalou
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
| | - Bradford J. Wood
- From the Center for Interventional Oncology, Radiology and Imaging Sciences (A.A. , T.S., S.X., B.J.W.), Molecular Imaging Branch (B.T., T.S., S.H.), and the Radiology and Imaging Sciences (E.T.), NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA; Syracuse University of New York-Upstate (T.S.), USA; the Molecular Imaging Branch (S.H.), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (P.A.), Xiangyang First People’s Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China; Department of Radiology (G.C.), Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Italy; Diagnostic and Interventional Radiology Service (M.C., F.P.), San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy; Self-Defense Forces Central Hospital (H.O., H.M.), Tokyo, Japan; Division of International Epidemiology and Population Studies (K.S., D.S.), Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA; Department of Radiology (R.S., H.A.), University of California Los Angeles, California, USA
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9
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Sedghi A, Mehrtash A, Jamzad A, Amalou A, Wells WM, Kapur T, Kwak JT, Turkbey B, Choyke P, Pinto P, Wood B, Xu S, Abolmaesumi P, Mousavi P. Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int J Comput Assist Radiol Surg 2020; 15:1215-1223. [PMID: 32372384 DOI: 10.1007/s11548-020-02172-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 04/16/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE The detection of clinically significant prostate cancer (PCa) is shown to greatly benefit from MRI-ultrasound fusion biopsy, which involves overlaying pre-biopsy MRI volumes (or targets) with real-time ultrasound images. In previous literature, machine learning models trained on either MRI or ultrasound data have been proposed to improve biopsy guidance and PCa detection. However, quantitative fusion of information from MRI and ultrasound has not been explored in depth in a large study. This paper investigates information fusion approaches between MRI and ultrasound to improve targeting of PCa foci in biopsies. METHODS We build models of fully convolutional networks (FCN) using data from a newly proposed ultrasound modality, temporal enhanced ultrasound (TeUS), and apparent diffusion coefficient (ADC) from 107 patients with 145 biopsy cores. The architecture of our models is based on U-Net and U-Net with attention gates. Models are built using joint training through intermediate and late fusion of the data. We also build models with data from each modality, separately, to use as baseline. The performance is evaluated based on the area under the curve (AUC) for predicting clinically significant PCa. RESULTS Using our proposed deep learning framework and intermediate fusion, integration of TeUS and ADC outperforms the individual modalities for cancer detection. We achieve an AUC of 0.76 for detection of all PCa foci, and 0.89 for PCa with larger foci. Results indicate a shared representation between multiple modalities outperforms the average unimodal predictions. CONCLUSION We demonstrate the significant potential of multimodality integration of information from MRI and TeUS to improve PCa detection, which is essential for accurate targeting of cancer foci during biopsy. By using FCNs as the architecture of choice, we are able to predict the presence of clinically significant PCa in entire imaging planes immediately, without the need for region-based analysis. This reduces the overall computational time and enables future intra-operative deployment of this technology.
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Affiliation(s)
| | - Alireza Mehrtash
- The University of British Columbia, Vancouver, BC, Canada.,Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Amel Amalou
- The National Institutes of Health Research Center, Baltimore, MD, USA
| | - William M Wells
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tina Kapur
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Baris Turkbey
- The National Institutes of Health Research Center, Baltimore, MD, USA
| | - Peter Choyke
- The National Institutes of Health Research Center, Baltimore, MD, USA
| | - Peter Pinto
- The National Institutes of Health Research Center, Baltimore, MD, USA
| | - Bradford Wood
- The National Institutes of Health Research Center, Baltimore, MD, USA
| | - Sheng Xu
- The National Institutes of Health Research Center, Baltimore, MD, USA
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Amalou A, Seifabadi R, Varble N, Li M, Turkbey B, Anderson V, Mehralivand S, Merino M, Choyke P, Pinto P, Xu S, Wood B. Abstract No. 604 Get the needle and ultrasound out of the rectum in prostate interventions. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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Xu S, Levy E, Yan P, Amalou A, Harmon S, Cero C, Zhu K, Lea H, Cypess A, Wood B. Abstract No. 609 Artificial intelligence–assisted multimodality image fusion in image-guided biopsy. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.670] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Amalou H, Amalou A, Celik H, Xu S, Tse Z, Turkbey B, Pinto P, Anderson V, Wood B. 3:09 PM Abstract No. 118 Cost impact of new technologies in interventional oncology and interventional radiology. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Varble N, Zhao Z, Tse Z, Amalou A, Xu S, Wood B. Abstract No. 545 Magnetic markers for tumor localization: feasibility in video assisted thoracic surgery. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.606] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Amalou H, Xu S, Amalou A, Li M, Suh R, Celik H, Wood B. 4:12 PM Abstract No. 219 Barriers to adoption of fusion and navigation tools for biopsy and ablation. J Vasc Interv Radiol 2018. [DOI: 10.1016/j.jvir.2018.01.245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
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