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Preliminary study of time maximum intensity projection computed tomography imaging for the detection of early ischemic change in patient with acute ischemic stroke.

Abstract Noncontrast computed tomography (NCCT) has been used for the detection of early ischemic change (EIC); however, correct interpretation of NCCT findings requires much clinical experience. This study aimed to assess the accuracy of time maximum intensity projection computed tomography technique (tMIP), which reflects the maximum value for the time phase direction from the dynamic volume data for each projected plane, for detection of EIC, against that of NCCT.Retrospective review of NCCT, cerebral blood volume in CT perfusion (CTP-CBV), and tMIP of 186 lesions from 280 regions evaluated by Alberta Stroke Program Early CT Score (ASPECTS) in 14 patients with acute middle cerebral artery stroke who had undergone whole-brain CTP using 320-row area detector CT was performed. Four radiologists reviewed EIC on NCCT, CTP-CBV, and tMIP in each ASPECTS region at onset using the continuous certainty factor method. Receiver operating characteristic analysis was performed to compare the relative performance for detection of EIC. The correlations were evaluated.tMIP-color showed the best discriminative value for detection of EIC. There were significant differences in the area under the curve for NCCT and tMIP-color, CTP-CBV (P < .05). Scatter plots of ASPECTS showed a positive significant correlation between NCCT, tMIP-gray, tMIP-color, and the follow-up study (NCCT, r = 0.32, P = .0166; tMIP-gray, r = 0.44, P = .0007; tMIP-color, r = 0.34, P = .0104).Because tMIP provides a high contrast parenchymal image with anatomical and vascular information in 1 sequential scan, it showed greater accuracy for detection of EIC and predicted the final infarct extent more accurately than NCCT based on ASPECTS.
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Journal Title medicine
Publication Year Start




PMID- 29489691
OWN - NLM
STAT- In-Process
LR  - 20180228
IS  - 1536-5964 (Electronic)
IS  - 0025-7974 (Linking)
VI  - 97
IP  - 9
DP  - 2018 Mar
TI  - Preliminary study of time maximum intensity projection computed tomography
      imaging for the detection of early ischemic change in patient with acute ischemic
      stroke.
PG  - e9906
LID - 10.1097/MD.0000000000009906 [doi]
AB  - Noncontrast computed tomography (NCCT) has been used for the detection of early
      ischemic change (EIC); however, correct interpretation of NCCT findings requires 
      much clinical experience. This study aimed to assess the accuracy of time maximum
      intensity projection computed tomography technique (tMIP), which reflects the
      maximum value for the time phase direction from the dynamic volume data for each 
      projected plane, for detection of EIC, against that of NCCT.Retrospective review 
      of NCCT, cerebral blood volume in CT perfusion (CTP-CBV), and tMIP of 186 lesions
      from 280 regions evaluated by Alberta Stroke Program Early CT Score (ASPECTS) in 
      14 patients with acute middle cerebral artery stroke who had undergone
      whole-brain CTP using 320-row area detector CT was performed. Four radiologists
      reviewed EIC on NCCT, CTP-CBV, and tMIP in each ASPECTS region at onset using the
      continuous certainty factor method. Receiver operating characteristic analysis
      was performed to compare the relative performance for detection of EIC. The
      correlations were evaluated.tMIP-color showed the best discriminative value for
      detection of EIC. There were significant differences in the area under the curve 
      for NCCT and tMIP-color, CTP-CBV (P &lt; .05). Scatter plots of ASPECTS showed a
      positive significant correlation between NCCT, tMIP-gray, tMIP-color, and the
      follow-up study (NCCT, r = 0.32, P = .0166; tMIP-gray, r = 0.44, P = .0007;
      tMIP-color, r = 0.34, P = .0104).Because tMIP provides a high contrast
      parenchymal image with anatomical and vascular information in 1 sequential scan, 
      it showed greater accuracy for detection of EIC and predicted the final infarct
      extent more accurately than NCCT based on ASPECTS.
FAU - Murayama, Kazuhiro
AU  - Murayama K
AD  - Department of Radiology, Fujita Health University.
FAU - Suzuki, Shigetaka
AU  - Suzuki S
AD  - Department of Radiology, Fujita Health University.
FAU - Matsukiyo, Ryo
AU  - Matsukiyo R
AD  - Department of Radiology, Fujita Health University.
FAU - Takenaka, Akinori
AU  - Takenaka A
AD  - Department of Radiology, Fujita Health University.
FAU - Hayakawa, Motoharu
AU  - Hayakawa M
AD  - Department of Neurosurgery, Fujita Health University, Toyoake.
FAU - Tsutsumi, Takashi
AU  - Tsutsumi T
AD  - Clinical Application Research Center, Toshiba Medical Systems Corporation,
      Otawara.
FAU - Fujii, Kenji
AU  - Fujii K
AD  - Clinical Application Research Center, Toshiba Medical Systems Corporation,
      Otawara.
FAU - Katada, Kazuhiro
AU  - Katada K
AD  - Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University, 
      Toyoake, Japan.
FAU - Toyama, Hiroshi
AU  - Toyama H
AD  - Department of Radiology, Fujita Health University.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Medicine (Baltimore)
JT  - Medicine
JID - 2985248R
EDAT- 2018/03/01 06:00
MHDA- 2018/03/01 06:00
CRDT- 2018/03/01 06:00
PHST- 2018/03/01 06:00 [entrez]
PHST- 2018/03/01 06:00 [pubmed]
PHST- 2018/03/01 06:00 [medline]
AID - 10.1097/MD.0000000000009906 [doi]
AID - 00005792-201803020-00052 [pii]
PST - ppublish
SO  - Medicine (Baltimore). 2018 Mar;97(9):e9906. doi: 10.1097/MD.0000000000009906.