TY - JOUR
T1 - A review of a strategic roadmapping exercise to advance clinical translation of photoacoustic imaging
T2 - From current barriers to future adoption
AU - Assi, Hisham
AU - Cao, Rui
AU - Castelino, Madhura
AU - Cox, Ben
AU - Gilbert, Fiona J.
AU - Gröhl, Janek
AU - Gurusamy, Kurinchi
AU - Hacker, Lina
AU - Ivory, Aoife M.
AU - Joseph, James
AU - Knieling, Ferdinand
AU - Leahy, Martin J.
AU - Lilaj, Ledia
AU - Manohar, Srirang
AU - Meglinski, Igor
AU - Moran, Carmel
AU - Murray, Andrea
AU - Oraevsky, Alexander A.
AU - Pagel, Mark D.
AU - Pramanik, Manojit
AU - Raymond, Jason
AU - Kuniyil Ajith Singh, Mithun
AU - Vogt, William C.
AU - Wang, Lihong
AU - Yang, Shufan
AU - Bohndiek, Sarah E.
AU - IPASC
N1 - Funding Information:
Image 5 Dr. Janek Gröhl does research computational biophotonics focusing on data-driven quantitative photoacoustic imaging. He received his masters degree in medical computer science from the University of Heidelberg and Heilbronn University of Applied Sciences in 2016. He received his PhD degree from the medical faculty of the University of Heidelberg in April 2021 and did his PhD research under Prof. Lena Maier-Hein at the German Cancer Research Center (DKFZ) and since December 2020 he is working as a postdoctoral fellow with Prof. Sarah Bohndiek funded by the Walter Benjamin Programme of the German Research Foundation (DFG) at Cancer Research UK, Cambridge Institute (CRUK CI).
Funding Information:
We would like to thank Duncan Hurlstone and Nicky Athanassopoulou from the Institute for Manufacturing in Cambridge for facilitating the roadmapping event. This work was funded by UKRI grant EP/V027069/1. The mention of commercial products, their sources, or their use in connection with material reported herein is not to be construed as either an actual or implied endorsement of such products by the Department of Health and Human Services. This article reflects the views of the authors and should not be construed to represent FDA views or policies. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Funding Information:
We would like to thank Duncan Hurlstone and Nicky Athanassopoulou from the Institute for Manufacturing in Cambridge for facilitating the roadmapping event. This work was funded by UKRI grant EP/V027069/1 . The mention of commercial products, their sources, or their use in connection with material reported herein is not to be construed as either an actual or implied endorsement of such products by the Department of Health and Human Services. This article reflects the views of the authors and should not be construed to represent FDA views or policies. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Publisher Copyright:
© 2023
PY - 2023/8
Y1 - 2023/8
N2 - Photoacoustic imaging (PAI), also referred to as optoacoustic imaging, has shown promise in early-stage clinical trials in a range of applications from inflammatory diseases to cancer. While the first PAI systems have recently received regulatory approvals, successful adoption of PAI technology into healthcare systems for clinical decision making must still overcome a range of barriers, from education and training to data acquisition and interpretation. The International Photoacoustic Standardisation Consortium (IPASC) undertook an community exercise in 2022 to identify and understand these barriers, then develop a roadmap of strategic plans to address them. Here, we outline the nature and scope of the barriers that were identified, along with short-, medium- and long-term community efforts required to overcome them, both within and beyond the IPASC group.
AB - Photoacoustic imaging (PAI), also referred to as optoacoustic imaging, has shown promise in early-stage clinical trials in a range of applications from inflammatory diseases to cancer. While the first PAI systems have recently received regulatory approvals, successful adoption of PAI technology into healthcare systems for clinical decision making must still overcome a range of barriers, from education and training to data acquisition and interpretation. The International Photoacoustic Standardisation Consortium (IPASC) undertook an community exercise in 2022 to identify and understand these barriers, then develop a roadmap of strategic plans to address them. Here, we outline the nature and scope of the barriers that were identified, along with short-, medium- and long-term community efforts required to overcome them, both within and beyond the IPASC group.
KW - Clinical translation
KW - Optoacoustic tomography
KW - Phantoms
KW - Photoacoustic imaging
KW - Quality assurance
KW - Standardisation
UR - http://www.scopus.com/inward/record.url?scp=85167462642&partnerID=8YFLogxK
U2 - 10.1016/j.pacs.2023.100539
DO - 10.1016/j.pacs.2023.100539
M3 - Review article
AN - SCOPUS:85167462642
SN - 2213-5987
VL - 32
JO - Photoacoustics
JF - Photoacoustics
M1 - 100539
ER -
