TY - JOUR
T1 - Automated entire thrombus density measurements for robust and comprehensive thrombus characterization in patients with acute ischemic stroke
AU - Santos, Emilie M.M.
AU - Niessen, Wiro J.
AU - Yoo, Albert J.
AU - Berkhemer, Olvert A.
AU - Beenen, Ludo F.
AU - Majoie, Charles B.
AU - Marquering, Henk A.
AU - Fransen, Puck S.S.
AU - Beumer, Debbie
AU - Van Den Berg, Lucie A.
AU - Lingsma, Hester F.
AU - Schonewille, Wouter J.
AU - Vos, Jan Albert
AU - Nederkoorn, Paul J.
AU - Wermer, Marieke J.H.
AU - Van Walderveen, Marianne A.A.
AU - Staals, Julie
AU - Hofmeijer, Jeannette
AU - Van Oostayen, Jacques A.
AU - Nijeholt, Geert J.Lycklama À.
AU - Boiten, Jelis
AU - Brouwer, Patrick A.
AU - Emmer, Bart J.
AU - De Bruijn, Sebastiaan F.
AU - Van Dijk, Lukas C.
AU - Kappelle, L. Jaap
AU - Lo, Rob H.
AU - Van Dijk, Ewoud J.
AU - De Vries, Joost
AU - De Kort, Paul L.M.
AU - Van Den Berg, Jan S.P.
AU - Van Hasselt, Boudewijn A.A.M.
AU - Aerden, Leo A.M.
AU - Dallinga, René J.
AU - Visser, Marieke C.
AU - Bot, Joseph C.J.
AU - Vroomen, Patrick C.
AU - Eshghi, Omid
AU - Schreuder, Tobien H.C.M.L.
AU - Heijboer, Roel J.J.
AU - Keizer, Koos
AU - Tielbeek, Alexander V.
AU - Den Hertog, Heleen M.
AU - Gerrits, Dick G.
AU - Van Den Berg-Vos, Renske M.
AU - Karas, Giorgos B.
AU - Steyerberg, Ewout W.
AU - Flach, H. Zwenneke
AU - Sprengers, Marieke E.S.
AU - Jenniskens, Sjoerd F.M.
N1 - Funding Information:
Wiro J. Niessen is co-founder and shareholder of Quantib BV; Albert J. Yoo received a research grant from Penumbra Inc. and a research grant from Neuravi Inc.; Charles M. B. Majoie received a research grant from Stryker Inc.
Funding Information:
The MR CLEAN trial was funded by the Dutch Heart Foundation and through unrestricted grants from AngioCare BV, Covidien/EV3®, MEDAC Gmbh/LAMEPRO and Penumbra Inc.
Publisher Copyright:
© 2016 Santos et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Background and Purpose: In acute ischemic stroke (AIS) management, CT-based thrombus density has been associated with treatment success. However, currently used thrombus measurements are prone to inter-observer variability and oversimplify the heterogeneous thrombus composition. Our aim was first to introduce an automated method to assess the entire thrombus density and then to compare the measured entire thrombus density with respect to current standard manual measurements. Materials and Method: In 135 AIS patients, the density distribution of the entire thrombus was determined. Density distributions were described usingmedians, interquartile ranges (IQR), kurtosis, and skewedness. Differences between themedian of entire thrombusmeasurements and commonly applied manualmeasurements using 3 regions of interest were determined using linear regression. Results: Density distributions varied considerably with medians ranging from 20.0 to 62.8 HU and IQRs ranging from 9.3 to 55.8 HU. The average median of the thrombus density distributions (43.5 ± 10.2 HU) was lower than the manual assessment (49.6 ± 8.0 HU) (p<0.05). The difference between manual measurements and median density of entire thrombus decreased with increasing density (r = 0.64; p<0.05), revealing relatively higher manual measurements for low density thrombi such that manual density measurement tend overestimates the real thrombus density. Conclusions: Automatic measurements of the full thrombus expose a wide variety of thrombi density distribution, which is not grasped with currently used manual measurement. Furthermore, discrimination of low and high density thrombi is improved with the automated method.
AB - Background and Purpose: In acute ischemic stroke (AIS) management, CT-based thrombus density has been associated with treatment success. However, currently used thrombus measurements are prone to inter-observer variability and oversimplify the heterogeneous thrombus composition. Our aim was first to introduce an automated method to assess the entire thrombus density and then to compare the measured entire thrombus density with respect to current standard manual measurements. Materials and Method: In 135 AIS patients, the density distribution of the entire thrombus was determined. Density distributions were described usingmedians, interquartile ranges (IQR), kurtosis, and skewedness. Differences between themedian of entire thrombusmeasurements and commonly applied manualmeasurements using 3 regions of interest were determined using linear regression. Results: Density distributions varied considerably with medians ranging from 20.0 to 62.8 HU and IQRs ranging from 9.3 to 55.8 HU. The average median of the thrombus density distributions (43.5 ± 10.2 HU) was lower than the manual assessment (49.6 ± 8.0 HU) (p<0.05). The difference between manual measurements and median density of entire thrombus decreased with increasing density (r = 0.64; p<0.05), revealing relatively higher manual measurements for low density thrombi such that manual density measurement tend overestimates the real thrombus density. Conclusions: Automatic measurements of the full thrombus expose a wide variety of thrombi density distribution, which is not grasped with currently used manual measurement. Furthermore, discrimination of low and high density thrombi is improved with the automated method.
UR - https://www.scopus.com/pages/publications/84955483364
U2 - 10.1371/journal.pone.0145641
DO - 10.1371/journal.pone.0145641
M3 - Article
C2 - 26765847
AN - SCOPUS:84955483364
SN - 1932-6203
VL - 11
JO - PLoS ONE
JF - PLoS ONE
IS - 1
M1 - e0145641
ER -