TY - JOUR
T1 - Use of Magnetic Resonance Imaging in Neuroprognostication After Pediatric Cardiac Arrest
T2 - Survey of Current Practices
AU - POCCA Investigators
AU - Piantino, Juan A.
AU - Ruzas, Christopher M.
AU - Press, Craig A.
AU - Subramanian, Subramanian
AU - Balakrishnan, Binod
AU - Panigrahy, Ashok
AU - Pettersson, David
AU - Maloney, John A.
AU - Vossough, Arastoo
AU - Topjian, Alexis
AU - Kirschen, Matthew P.
AU - Doughty, Lesley
AU - Chung, Melissa G.
AU - Maloney, David
AU - Haller, Tamara
AU - Fabio, Anthony
AU - Fink, Ericka L.
AU - Kochanek, Patrick
AU - Clark, Robert
AU - Bayir, Hulya
AU - Berger, Rachel
AU - Beers, Sue
AU - Fabio, Tony
AU - Walson, Karen
AU - Newth, Christopher J.L.
AU - Hunt, Elizabeth
AU - Duval-Arnould, Jordan
AU - Meyer, Michael T.
AU - Willyerd, Anthony
AU - Smith, Lincoln
AU - Wenger, Jesse
AU - Friess, Stuart
AU - Pineda, Jose
AU - Siems, Ashley
AU - Patregnani, Jason
AU - Diddle, John
AU - Maddux, Aline
AU - Press, Craig
AU - Piantino, Juan
AU - Rubin, Pamela
AU - Desai, Beena
AU - Richardson, Maureen G.
AU - Bates, Cynthia
AU - Parikh, Darshana
AU - Prodell, Janice
AU - Winters, Maddie
AU - Smith, Katherine
AU - Kwok, Jeni
AU - Cabrales, Adriana
AU - Adewale, Ronke
AU - Melvin, Pam
AU - Shad, Sadaf
AU - Siegel, Katherine
AU - Murkowski, Katherine
AU - Kasch, Mary
AU - Hensley, Josey
AU - Steele, Lisa
AU - Brown, Danielle
AU - Burrows, Brian
AU - Hlivka, Lauren
AU - Rich, Deana
AU - Tutundzic, Amila
AU - Day, Tina
AU - Barganier, Lori
AU - Wolfe, Ashley
AU - Little, Mackenzie
AU - Tomanio, Elyse
AU - Patel, Neha
AU - Hession, Diane
AU - Sierra, Yamila
AU - Jones, Rhonda
AU - Benken, Laura
AU - Elmer, Jonathan
AU - Narayanan, Srikala
AU - Wallace, Julia
AU - Robinson, Tami
AU - Frank, Andrew
AU - Bluml, Stefan
AU - Wisnowski, Jessica
AU - Feldman, Keri
AU - Vemulapalli, Avinash
AU - Ryan, Linda
AU - Szypulski, Scott
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/9
Y1 - 2022/9
N2 - Background: Use of magnetic resonance imaging (MRI) as a tool to aid in neuroprognostication after cardiac arrest (CA) has been described, yet details of specific indications, timing, and sequences are unknown. We aim to define the current practices in use of brain MRI in prognostication after pediatric CA. Methods: A survey was distributed to pediatric institutions participating in three international studies. Survey questions related to center demographics, clinical practice patterns of MRI after CA, neuroimaging resources, and details regarding MRI decision support. Results: Response rate was 31% (44 of 143). Thirty-four percent (15 of 44) of centers have a clinical pathway informing the use of MRI after CA. Fifty percent (22 of 44) of respondents reported that an MRI is obtained in nearly all patients with CA, and 32% (14 of 44) obtain an MRI in those who do not return to baseline neurological status. Poor neurological examination was reported as the most common factor (91% [40 of 44]) determining the timing of the MRI. Conventional sequences (T1, T2, fluid-attenuated inversion recovery, and diffusion-weighted imaging/apparent diffusion coefficient) are routinely used at greater than 97% of centers. Use of advanced imaging techniques (magnetic resonance spectroscopy, diffusion tensor imaging, and functional MRI) were reported by less than half of centers. Conclusions: Conventional brain MRI is a common practice for prognostication after CA. Advanced imaging techniques are used infrequently. The lack of standardized clinical pathways and variability in reported practices support a need for higher-quality evidence regarding the indications, timing, and acquisition protocols of clinical MRI studies.
AB - Background: Use of magnetic resonance imaging (MRI) as a tool to aid in neuroprognostication after cardiac arrest (CA) has been described, yet details of specific indications, timing, and sequences are unknown. We aim to define the current practices in use of brain MRI in prognostication after pediatric CA. Methods: A survey was distributed to pediatric institutions participating in three international studies. Survey questions related to center demographics, clinical practice patterns of MRI after CA, neuroimaging resources, and details regarding MRI decision support. Results: Response rate was 31% (44 of 143). Thirty-four percent (15 of 44) of centers have a clinical pathway informing the use of MRI after CA. Fifty percent (22 of 44) of respondents reported that an MRI is obtained in nearly all patients with CA, and 32% (14 of 44) obtain an MRI in those who do not return to baseline neurological status. Poor neurological examination was reported as the most common factor (91% [40 of 44]) determining the timing of the MRI. Conventional sequences (T1, T2, fluid-attenuated inversion recovery, and diffusion-weighted imaging/apparent diffusion coefficient) are routinely used at greater than 97% of centers. Use of advanced imaging techniques (magnetic resonance spectroscopy, diffusion tensor imaging, and functional MRI) were reported by less than half of centers. Conclusions: Conventional brain MRI is a common practice for prognostication after CA. Advanced imaging techniques are used infrequently. The lack of standardized clinical pathways and variability in reported practices support a need for higher-quality evidence regarding the indications, timing, and acquisition protocols of clinical MRI studies.
KW - Brain
KW - Cardiac arrest
KW - Child
KW - Hypoxia-ischemia
KW - MRI
KW - Neuroimaging
KW - Surveys and questionnaires
UR - http://www.scopus.com/inward/record.url?scp=85133923534&partnerID=8YFLogxK
U2 - 10.1016/j.pediatrneurol.2022.06.011
DO - 10.1016/j.pediatrneurol.2022.06.011
M3 - Article
C2 - 35835025
AN - SCOPUS:85133923534
SN - 0887-8994
VL - 134
SP - 45
EP - 51
JO - Pediatric Neurology
JF - Pediatric Neurology
ER -