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Zhang K, Zhou HY, Baptista-Hon DT, Gao Y, Liu X, Oermann E, Xu S, Jin S, Zhang J, Sun Z, Yin Y, Razmi RM, Loupy A, Beck S, Qu J, Wu J. Concepts and applications of digital twins in healthcare and medicine. PATTERNS (NEW YORK, N.Y.) 2024; 5:101028. [PMID: 39233690 PMCID: PMC11368703 DOI: 10.1016/j.patter.2024.101028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/06/2024]
Abstract
The digital twin (DT) is a concept widely used in industry to create digital replicas of physical objects or systems. The dynamic, bi-directional link between the physical entity and its digital counterpart enables a real-time update of the digital entity. It can predict perturbations related to the physical object's function. The obvious applications of DTs in healthcare and medicine are extremely attractive prospects that have the potential to revolutionize patient diagnosis and treatment. However, challenges including technical obstacles, biological heterogeneity, and ethical considerations make it difficult to achieve the desired goal. Advances in multi-modal deep learning methods, embodied AI agents, and the metaverse may mitigate some difficulties. Here, we discuss the basic concepts underlying DTs, the requirements for implementing DTs in medicine, and their current and potential healthcare uses. We also provide our perspective on five hallmarks for a healthcare DT system to advance research in this field.
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Affiliation(s)
- Kang Zhang
- National Clinical Eye Research Center, Eye Hospital, Wenzhou Medical University, Wenzhou 325000, China
- Institute for Clinical Data Science, Wenzhou Medical University, Wenzhou 325000, China
- Institute for AI in Medicine and Faculty of Medicine, Macau University of Science and Technology, Macau 999078, China
- Institute for Advanced Study on Eye Health and Diseases, Wenzhou Medical University, Wenzhou 325000, China
| | - Hong-Yu Zhou
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02138, USA
| | - Daniel T. Baptista-Hon
- Institute for AI in Medicine and Faculty of Medicine, Macau University of Science and Technology, Macau 999078, China
- School of Medicine, University of Dundee, DD1 9SY Dundee, UK
| | - Yuanxu Gao
- Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing 100000, China
| | - Xiaohong Liu
- Cancer Institute, University College London, WC1E 6BT London, UK
| | - Eric Oermann
- NYU Langone Medical Center, New York University, New York, NY 10016, USA
| | - Sheng Xu
- Department of Chemical Engineering and Nanoengineering, University of California San Diego, San Diego, CA 92093, USA
| | - Shengwei Jin
- Institute for Clinical Data Science, Wenzhou Medical University, Wenzhou 325000, China
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou 325000, China
| | - Jian Zhang
- National Clinical Eye Research Center, Eye Hospital, Wenzhou Medical University, Wenzhou 325000, China
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou 325000, China
| | - Zhuo Sun
- Institute for Advanced Study on Eye Health and Diseases, Wenzhou Medical University, Wenzhou 325000, China
| | - Yun Yin
- Faculty of Business and Health Science Institute, City University of Macau, Macau 999078, China
| | | | - Alexandre Loupy
- Université Paris Cité, INSERM U970 PARCC, Paris Institute for Transplantation and Organ Regeneration, 75015 Paris, France
| | - Stephan Beck
- Cancer Institute, University College London, WC1E 6BT London, UK
| | - Jia Qu
- National Clinical Eye Research Center, Eye Hospital, Wenzhou Medical University, Wenzhou 325000, China
- Institute for Clinical Data Science, Wenzhou Medical University, Wenzhou 325000, China
| | - Joseph Wu
- Cardiovascular Research Institute, Stanford University, Standford, CA 94305, USA
| | - International Consortium of Digital Twins in Medicine
- National Clinical Eye Research Center, Eye Hospital, Wenzhou Medical University, Wenzhou 325000, China
- Institute for Clinical Data Science, Wenzhou Medical University, Wenzhou 325000, China
- Institute for AI in Medicine and Faculty of Medicine, Macau University of Science and Technology, Macau 999078, China
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02138, USA
- Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing 100000, China
- Cancer Institute, University College London, WC1E 6BT London, UK
- NYU Langone Medical Center, New York University, New York, NY 10016, USA
- Department of Chemical Engineering and Nanoengineering, University of California San Diego, San Diego, CA 92093, USA
- Department of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou 325000, China
- Institute for Advanced Study on Eye Health and Diseases, Wenzhou Medical University, Wenzhou 325000, China
- Faculty of Business and Health Science Institute, City University of Macau, Macau 999078, China
- Zoi Capital, New York, NY 10013, USA
- Université Paris Cité, INSERM U970 PARCC, Paris Institute for Transplantation and Organ Regeneration, 75015 Paris, France
- Cardiovascular Research Institute, Stanford University, Standford, CA 94305, USA
- School of Medicine, University of Dundee, DD1 9SY Dundee, UK
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Mahmoud AM, Moustafa A, Day C, Ahmed ME, Zeina W, Marzouk UM, Basourakos S, Haloi R, Mahon M, Muniz M, Childs DS, Orme JJ, Riaz IB, Kendi AT, Stish BJ, Davis BJ, Kwon ED, Andrews JR. Prostate Cancer Lung Metastasis: Clinical Insights and Therapeutic Strategies. Cancers (Basel) 2024; 16:2080. [PMID: 38893199 PMCID: PMC11171228 DOI: 10.3390/cancers16112080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 05/23/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
Prostate cancer lung metastasis represents a clinical conundrum due to its implications for advanced disease progression and the complexities it introduces in treatment planning. As the disease progresses to distant sites such as the lung, the clinical management becomes increasingly intricate, requiring tailored therapeutic strategies to address the unique characteristics of metastatic lesions. This review seeks to synthesize the current state of knowledge surrounding prostate cancer metastasis to the lung, shedding light on the diverse array of clinical presentations encountered, ranging from subtle radiological findings to overt symptomatic manifestations. By examining the diagnostic modalities utilized in identifying this metastasis, including advanced imaging techniques and histopathological analyses, this review aims to provide insights into the diagnostic landscape and the challenges associated with accurately characterizing lung metastatic lesions in prostate cancer patients. Moreover, this review delves into the nuances of therapeutic interventions employed in managing prostate cancer lung metastasis, encompassing systemic treatments such as hormonal therapies and chemotherapy, as well as metastasis-directed therapies including surgery and radiotherapy.
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Affiliation(s)
- Ahmed M. Mahmoud
- Department of Urology, Mayo Clinic, Rochester, MN 55905, USA; (A.M.M.)
| | - Amr Moustafa
- Department of Internal Medicine, The Brooklyn Hospital Center, Brooklyn, NY 11201, USA
| | - Carter Day
- Department of Urology, Mayo Clinic, Rochester, MN 55905, USA; (A.M.M.)
| | - Mohamed E. Ahmed
- Department of Urology, Mayo Clinic, Rochester, MN 55905, USA; (A.M.M.)
| | - Wael Zeina
- Department of Urology, Mayo Clinic, Rochester, MN 55905, USA; (A.M.M.)
| | - Usama M. Marzouk
- Department of Internal Medicine, Ain Shams University, Cairo 11566, Egypt
| | | | - Rimki Haloi
- Department of Urology, Mayo Clinic, Rochester, MN 55905, USA; (A.M.M.)
| | - Mindie Mahon
- Department of Urology, Mayo Clinic, Rochester, MN 55905, USA; (A.M.M.)
| | - Miguel Muniz
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Daniel S. Childs
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Jacob J. Orme
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Irbaz Bin Riaz
- Department of Medical Oncology, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - A. Tuba Kendi
- Department of Radiology, Division of Nuclear Medicine, Mayo Clinic, Rochester, MN 55905, USA;
| | - Bradley J. Stish
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Brian J. Davis
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Eugene D. Kwon
- Department of Urology, Mayo Clinic, Rochester, MN 55905, USA; (A.M.M.)
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Mosca A, Mantica G, Giavarra M, Perrone V, De Marchi L, Gennari A, Toncini C, Terrone C. Curative Lung Metastasectomy Without Concomitant Androgen Deprivation Therapy in Oligometastatic Castration-resistant Prostate Cancer: A Case Report and Review of the Literature. Clin Genitourin Cancer 2019; 18:e295-e299. [PMID: 31917170 DOI: 10.1016/j.clgc.2019.11.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/05/2019] [Accepted: 11/27/2019] [Indexed: 01/07/2023]
Affiliation(s)
- Alessandra Mosca
- Department of Medical Oncology, Maggiore della Carità University Hospital, Novara, Italy
| | - Guglielmo Mantica
- Department of Urology, Policlinico San Martino Hospital, University of Genova, Genova, Italy.
| | - Marco Giavarra
- Department of Medical Oncology, Maggiore della Carità University Hospital, Novara, Italy
| | - Valentina Perrone
- Department of Medical Oncology, Maggiore della Carità University Hospital, Novara, Italy
| | - Lucrezia De Marchi
- Department of Medical Oncology, Maggiore della Carità University Hospital, Novara, Italy
| | - Alessandra Gennari
- Department of Medical Oncology, Maggiore della Carità University Hospital, Novara, Italy
| | - Carlo Toncini
- Department of Pathology, Policlinico San Martino Hospital, University of Genova, Genova, Italy
| | - Carlo Terrone
- Department of Urology, Policlinico San Martino Hospital, University of Genova, Genova, Italy
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Evans-Axelsson S, Ulmert D, Örbom A, Peterson P, Nilsson O, Wennerberg J, Strand J, Wingårdh K, Olsson T, Hagman Z, Tolmachev V, Bjartell A, Lilja H, Strand SE. Targeting free prostate-specific antigen for in vivo imaging of prostate cancer using a monoclonal antibody specific for unique epitopes accessible on free prostate-specific antigen alone. Cancer Biother Radiopharm 2012; 27:243-51. [PMID: 22489659 DOI: 10.1089/cbr.2011.1088] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
This study investigated the feasibility of targeting the free, unbound forms of prostate-specific antigen (fPSA) for in vivo imaging of prostate adenocarcinomas (PCa), as PSA is produced and secreted at abundance during every clinical stage and grade of PCa, including castration-resistant disease. We injected (125)I-labeled monoclonal antibody PSA30 (specific for an epitope uniquely accessible on fPSA alone) intravenously in male nude mice carrying subcutaneous xenografts of LNCaP tumors (n=36). Mice were sacrificed over a time course from 4 hours to 13 days after injecting (125)I-labeled PSA30. Tissue uptake of (125)I-PSA30 at 48 and 168 hours after intravenous injection was compared with two clinically used positron emission tomography radiopharmaceuticals, (18)F-fluoro-deoxy-glucose ((18)F-FDG) or (18)F-choline, in cryosections using Digital AutoRadiography (DAR) and also compared with immunohistochemical staining of PSA and histopathology. On DAR, the areas with high (125)I-PSA30 uptake corresponded mainly to morphologically intact and PSA-producing LNCaP cells, but did not associate with the areas of high uptake of either (18)F-FDG or (18)F-choline. Biodistribution of (125)I-PSA30 measured in dissected organs ex vivo during 4 to 312 hours after intravenous injection demonstrated maximum selective tumor uptake 24-48 hours after antibody injection. Our data showed selective uptake in vivo of a monoclonal antibody highly specific for fPSA in LNCaP cells. Hence, in vivo imaging of fPSA may be feasible with putative usefulness in disseminated PCa.
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Affiliation(s)
- Susan Evans-Axelsson
- Division of Urological Cancers, Department of Clinical Sciences, Lund University, Malmö, Sweden.
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Disibio G, French SW. Metastatic patterns of cancers: results from a large autopsy study. Arch Pathol Lab Med 2008; 132:931-9. [PMID: 18517275 DOI: 10.5858/2008-132-931-mpocrf] [Citation(s) in RCA: 342] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2007] [Indexed: 12/13/2022]
Abstract
CONTEXT Many studies have addressed metastatic patterns seen among various cancers. No recent studies, however, provide quantitative analyses of such patterns arising from a broad range of cancers based primarily on postmortem tissue analyses. OBJECTIVE To provide a quantitative description of metastatic patterns among different primary cancers based on data obtained from a large, focused autopsy study. DESIGN Review of data from 3827 autopsies, performed between 1914 and 1943 on patients from 5 affiliated medical centers, comprising 41 different primary cancers and 30 different metastatic sites. RESULTS Testicular cancers were most likely to metastasize (5.8 metastases per primary cancer), whereas duodenal cancers were least likely to do so (0.6 metastases per primary cancer). Preferred metastatic sites varied among the primary cancers analyzed. Overall, regional lymph nodes were the most common metastatic target (20.6% of total), whereas testes were the least common (0.1% of total). CONCLUSIONS Not surprisingly, different primary cancers tended to metastasize, with differing frequencies, to different sites. These varying metastatic patterns might be helpful in deducing the origins of cancers whose primary sites are unclear at presentation.
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Affiliation(s)
- Guy Disibio
- Department of Pathology, Harbor-UCLA Medical Center, Torrance, CA 90509, USA.
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