Design and clinical validation of a point-of-care device for the diagnosis of lymphoma via contrast-enhanced microholography and machine learning (original) (raw)
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Acknowledgements
The authors thank J. Min for assay optimization, K. Joyes for editing the manuscript, and all members of MGH’s Division of Interventional Radiology, Department of Pathology and Cancer Center who contributed to patient care. This work was supported in part by 5UH2CA202637 (to R.W. and B.Chabner), 4R00CA201248 (to H.I.) and a grant from the V-Foundation for Cancer Research (to R.W. and C.M.C.). H.L. was supported in part by R21-CA205322, R01-HL113156 and the MGH scholar fund. A.K. has been supported by the Mac Erlaine Scholarship from the Academic Radiology Research Trust, St. Vincents Radiology Group, Dublin, Ireland, and also by the Higher Degree Bursary from the Faculty of Radiologists at the Royal College of Surgeons in Ireland.
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Author notes
- These authors contributed equally: Hyungsoon Im, Divya Pathania.
- These authors jointly supervised this work: Cesar M. Castro, Ralph Weissleder.
Authors and Affiliations
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
Hyungsoon Im, Divya Pathania, Philip J. McFarland, Ismail Degani, Matthew Allen, Benjamin Coble, Aoife Kilcoyne, Seonki Hong, Lucas Rohrer, Lioubov Fexon, Misha Pivovarov, Hakho Lee, Cesar M. Castro & Ralph Weissleder - Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
Hyungsoon Im, Aoife Kilcoyne, Misha Pivovarov, Hakho Lee & Ralph Weissleder - Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
Aliyah R. Sohani - Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
Ismail Degani - Department of Engineering and Management, Massachusetts Institute of Technology, Cambridge, MA, USA
Benjamin Coble - Department of Health Sciences, Northeastern University, Boston, MA, USA
Lucas Rohrer - Massachusetts General Hospital Cancer Center, Boston, MA, USA
Jeremy S. Abramson, Bruce Chabner & Cesar M. Castro - Botswana Harvard AIDS Institute, Gaborone, Botswana
Scott Dryden-Peterson - Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, MA, USA
Scott Dryden-Peterson - Harvard T.H. Chan School of Public Health, Boston, MA, USA
Scott Dryden-Peterson - Department of Systems Biology, Harvard Medical School, Boston, MA, USA
Ralph Weissleder
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Contributions
H.I., H.L., C.M.C. and R.W. designed the study. H.I., I.D. and B.Coble designed and fabricated the CEM device. D.P., P.J.M. and H.I. designed and optimized the experiments. H.I., D.P., P.J.M., S.H. and L.R. processed and analysed the samples. H.I., M.A., H.L., L.F. and M.P. established the computational algorithms. R.W., A.K., A.R.S., J.S.A., B.Chabner and C.M.C conducted the clinical trials. All authors reviewed the data. H.I. and R.W. wrote the paper, which was edited by all authors.
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Correspondence toCesar M. Castro or Ralph Weissleder.
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Im, H., Pathania, D., McFarland, P.J. et al. Design and clinical validation of a point-of-care device for the diagnosis of lymphoma via contrast-enhanced microholography and machine learning.Nat Biomed Eng 2, 666–674 (2018). https://doi.org/10.1038/s41551-018-0265-3
- Received: 04 December 2017
- Accepted: 15 June 2018
- Published: 23 July 2018
- Issue Date: September 2018
- DOI: https://doi.org/10.1038/s41551-018-0265-3