Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/26263
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dc.contributor.authorHricak, Hedvig-
dc.contributor.authorAbdel-Wahab, May-
dc.contributor.authorAtun, Rifat-
dc.contributor.authorLette, Miriam Mikhail-
dc.contributor.authorPaez, Diana-
dc.contributor.authorBrink, James A-
dc.contributor.authorDonoso-Bach, Lluís-
dc.contributor.authorFrija, Guy-
dc.contributor.authorHierath, Monika-
dc.contributor.authorHolmberg, Ola-
dc.contributor.authorKhong, Pek-Lan-
dc.contributor.authorLewis, Jason S-
dc.contributor.authorMcGinty, Geraldine-
dc.contributor.authorOyen, Wim J G-
dc.contributor.authorShulman, Lawrence N-
dc.contributor.authorWard, Zachary J-
dc.contributor.authorScott, Andrew M-
dc.date2021-03-04-
dc.date.accessioned2021-04-19T05:58:54Z-
dc.date.available2021-04-19T05:58:54Z-
dc.date.issued2021-04-
dc.identifier.citationThe Lancet. Oncology 2021; 22(4): e136-e172en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/26263-
dc.description.abstractThe diagnosis and treatment of patients with cancer requires access to imaging to ensure accurate management decisions and optimal outcomes. Our global assessment of imaging and nuclear medicine resources identified substantial shortages in equipment and workforce, particularly in low-income and middle-income countries (LMICs). A microsimulation model of 11 cancers showed that the scale-up of imaging would avert 3·2% (2·46 million) of all 76·0 million deaths caused by the modelled cancers worldwide between 2020 and 2030, saving 54·92 million life-years. A comprehensive scale-up of imaging, treatment, and care quality would avert 9·55 million (12·5%) of all cancer deaths caused by the modelled cancers worldwide, saving 232·30 million life-years. Scale-up of imaging would cost US$6·84 billion in 2020-30 but yield lifetime productivity gains of $1·23 trillion worldwide, a net return of $179·19 per $1 invested. Combining the scale-up of imaging, treatment, and quality of care would provide a net benefit of $2·66 trillion and a net return of $12·43 per $1 invested. With the use of a conservative approach regarding human capital, the scale-up of imaging alone would provide a net benefit of $209·46 billion and net return of $31·61 per $1 invested. With comprehensive scale-up, the worldwide net benefit using the human capital approach is $340·42 billion and the return per dollar invested is $2·46. These improved health and economic outcomes hold true across all geographical regions. We propose actions and investments that would enhance access to imaging equipment, workforce capacity, digital technology, radiopharmaceuticals, and research and training programmes in LMICs, to produce massive health and economic benefits and reduce the burden of cancer globally.en
dc.language.isoeng
dc.titleMedical imaging and nuclear medicine: a Lancet Oncology Commission.en
dc.typeJournal Articleen
dc.identifier.journaltitleThe Lancet. Oncologyen
dc.identifier.affiliationDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USAen
dc.identifier.affiliationDepartment of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USAen
dc.identifier.affiliationInternational Atomic Energy Agency, Division of Human Health, Vienna, Austriaen
dc.identifier.affiliationRadiation Oncology, National Cancer Institute, Cairo University, Cairo, Egypten
dc.identifier.affiliationGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japanen
dc.identifier.affiliationDepartments of Radiology and Population Science, Weill Cornell Medical College, New York, NY, USAen
dc.identifier.affiliationAmerican College of Radiology, Reston, VA, USAen
dc.identifier.affiliationDepartment of Radiology and Molecular Pharmacology Programme, Memorial Sloan Kettering Cancer Center, New York, NY, USAen
dc.identifier.affiliationDepartments of Pharmacology and Radiology, Weill Cornell Medical College, New York, NY, USAen
dc.identifier.affiliationDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USAen
dc.identifier.affiliationDepartment of Radiology, Weill Cornell Medical College, New York, NY, USAen
dc.identifier.affiliationDepartment of Biomedical Sciences and Humanitas Clinical and Research Centre, Department of Nuclear Medicine, Humanitas University, Milan, Italy; Department of Radiology and Nuclear Medicine, Rijnstate Hospital, Arnhem, Netherlandsen
dc.identifier.affiliationDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, Nijmegen, Netherlandsen
dc.identifier.affiliationOlivia Newton-John Cancer Research Instituteen
dc.identifier.affiliationMolecular Imaging and Therapyen
dc.identifier.affiliationSchool of Cancer Medicine, La Trobe University, Melbourne, VIC, Australiaen
dc.identifier.affiliationDepartment of Medicine, University of Melbourne, Melbourne, VIC, Australiaen
dc.identifier.affiliationCenter for Health Decision Science, Harvard TH Chan School of Public Health, Boston, MA, USAen
dc.identifier.affiliationDepartment of Medicine, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USAen
dc.identifier.affiliationDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Harvard University, Boston, MA, USAen
dc.identifier.affiliationInternational Atomic Energy Agency, Division of Human Health, Vienna, Austriaen
dc.identifier.affiliationDepartment of Medical Imaging, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spainen
dc.identifier.affiliationUniversité de Paris, Paris, Franceen
dc.identifier.affiliationEuropean Society of Radiology, Vienna, Austriaen
dc.identifier.affiliationRadiation Protection of Patients Unit, International Atomic Energy Agency, Vienna, Austriaen
dc.identifier.affiliationDepartment of Diagnostic Radiology, University of Hong Kong, Hong Kong Special Administrative Region, Chinaen
dc.identifier.doi10.1016/S1470-2045(20)30751-8en
dc.type.contentTexten
dc.identifier.pubmedid33676609
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