XU Haifeng, CHEN Kemin, ZHANG Yongli, WEN Feng, QIAN Bangwei. Value of magnetic resonance diffusion weighted imaging combined with perfusion weighted imaging in predicting final infarct volume of tumor-like cerebral infarction[J]. Journal of Clinical Medicine in Practice, 2021, 25(11): 4-7, 38. DOI: 10.7619/jcmp.20211419
Citation: XU Haifeng, CHEN Kemin, ZHANG Yongli, WEN Feng, QIAN Bangwei. Value of magnetic resonance diffusion weighted imaging combined with perfusion weighted imaging in predicting final infarct volume of tumor-like cerebral infarction[J]. Journal of Clinical Medicine in Practice, 2021, 25(11): 4-7, 38. DOI: 10.7619/jcmp.20211419

Value of magnetic resonance diffusion weighted imaging combined with perfusion weighted imaging in predicting final infarct volume of tumor-like cerebral infarction

More Information
  • Received Date: March 30, 2021
  • Available Online: June 14, 2021
  • Published Date: June 14, 2021
  •   Objective  To analyze the value of magnetic resonance diffusion weighted imaging (DWI) combined with perfusion weighted imaging (PWI) in predicting the final infarct volume of tumor-like cerebral infarction.
      Methods  DWI and PWI of 31 patients with tumor-like cerebral infarction confirmed by tracking magnetic resonance imaging (MRI) were retrospectively analyzed. The indexes such as relative cerebral blood flow (rCBF), relative cerebral blood volume (rCBV), relative mean transit time (rMTT) and relative apparent diffusion coefficient (rADC) of infarction center, prediction error area and ischemic penumbra were measured and calculated, and the differences between predicted infarction center volume and actual infarction center volume were compared.
      Results  Tukey post-event efficacy test showed that there were significant differences in rCBF and rCBV between final infarction, predicted error area and ischemic penumbra (P < 0.01), and there was a significant difference in rADC between final infarction and ischemic penumbra (P < 0.01). PWI was more sensitive than DWI in predicting irreversible injury of tumor-like cerebral infarction, and sensitivity of rCBF was the highest. Tracking MRI showed that there were 27 cases with hemorrhagic transformation (HT) and hemosiderosis (87.10%). The mean final infarction volume was (20.8±11.9) cm3, which was significantly lower than (25.9±10.6) cm3 of predicted infarction volume (t=7.682, P < 0.001). Correlation test showed that thefinal infarction volume was positively correlated with the predicted infarction volume (r=0.953, P < 0.001).
      Conclusion  The final infarction volume of tumor-like cerebral infarction is smaller than the predicted infarction volume, which may be related to the high incidence of HT or reperfusion. The sensitivity of rCBF is the highest when DWI and PWI are used to predict irreversible damage.
  • [1]
    WHEELER H M, MLYNASH M, INOUE M, et al. Early diffusion-weighted imaging and perfusion-weighted imaging lesion volumes forecast final infarct size in DEFUSE 2[J]. Stroke, 2013, 44(3): 681-685. doi: 10.1161/STROKEAHA.111.000135
    [2]
    SASAKI M, KUDO K, HONJO K, et al. Prediction of infarct volume and neurologic outcome by using automated multiparametric perfusion-weighted magnetic resonance imaging in a primate model of permanent middle cerebral artery occlusion[J]. J Cereb Blood Flow Metab, 2011, 31(2): 448-456. doi: 10.1038/jcbfm.2010.106
    [3]
    朱妍, 郝继山, 杨玉山. 肿瘤样脑梗塞的诊治[J]. 中华神经医学杂志, 2004, 3(6): 453-455. doi: 10.3760/cma.j.issn.1671-8925.2004.06.018
    [4]
    TIPIRNENI-SAJJA A, CHRISTENSEN S, STRAKA M, et al. Prediction of final infarct volume on subacute MRI by quantifying cerebral edema in ischemic stroke[J]. J Cereb Blood Flow Metab, 2017, 37(8): 3077-3084. doi: 10.1177/0271678X16683960
    [5]
    DANCHAIVIJITR N, WAKEHAM N R, PATEL M C, et al. Subacute cerebellar infarct mimicking meningioma[J]. Clin Radiol, 2004, 59(6): 531-533. doi: 10.1016/j.crad.2004.01.003
    [6]
    郭翔, 周洁洁, 陈伟建, 等. 基于表观扩散系数阈值的超急性期表观扩散系数图预测亚急性期脑梗死体积的可行性[J]. 中华放射学杂志, 2014, 48(6): 448-451. doi: 10.3760/cma.j.issn.1005-1201.2014.06.003
    [7]
    CARRERA E, JONES P S, ALAWNEH J A, et al. Predicting infarction within the diffusion-weighted imaging lesion: does the mean transit time have added value[J]. Stroke, 2011, 42(6): 1602-1607. doi: 10.1161/STROKEAHA.110.606970
    [8]
    ÁLVAREZ-SABÍN J, MAISTERRA O, SANTAMARINA E, et al. Factors influencing haemorrhagic transformation in ischaemic stroke[J]. Lancet Neurol, 2013, 12(7): 689-705. doi: 10.1016/S1474-4422(13)70055-3
    [9]
    YU Y, HAN Q, DING X, et al. Defining core and penumbra in ischemic stroke: a voxel-and volume-based analysis of whole brain CT perfusion[J]. Sci Rep, 2016, 6: 20932. doi: 10.1038/srep20932
    [10]
    BANDERA E, BOTTERI M, MINELLI C, et al. Cerebral blood flow threshold of ischemic penumbra and infarct core in acute ischemic stroke: a systematic review[J]. Stroke, 2006, 37(5): 1334-1339. doi: 10.1161/01.STR.0000217418.29609.22
    [11]
    ROY B, WOO M A, WANG D J J, et al. Reduced regional cerebral blood flow in patients with heart failure[J]. Eur J Heart Fail, 2017, 19(10): 1294-1302. doi: 10.1002/ejhf.874
    [12]
    AVIV R I, D'ESTERRE C D, MURPHY B D, et al. Hemorrhagic transformation of ischemic stroke: prediction with CT perfusion[J]. Radiology, 2009, 250(3): 867-877. doi: 10.1148/radiol.2503080257
    [13]
    WEN L, ZHANG S, WAN K, et al. Risk factors of haemorrhagic transformation for acute ischaemic stroke in Chinese patients receiving intravenous thrombolysis: a meta-analysis[J]. Medicine: Baltimore, 2020, 99(7): e18995. doi: 10.1097/MD.0000000000018995
    [14]
    PANDE S D, WIN M M, KHINE A A, et al. Haemorrhagic transformation following ischaemic stroke: a retrospective study[J]. Sci Rep, 2020, 10(1): 5319. doi: 10.1038/s41598-020-62230-5
    [15]
    KIM G S, YANG L, ZHANG G, et al. Critical role of sphingosine-1-phosphate receptor-2 in the disruption of cerebrovascular integrity in experimental stroke[J]. Nat Commun, 2015, 6: 7893. doi: 10.1038/ncomms8893
    [16]
    陈佳露, 张继. 急性脑梗死影像因素评估近期预后的研究[J]. 实用放射学杂志, 2021, 37(2), 188-190. doi: 10.3969/j.issn.1002-1671.2021.02.004
    [17]
    陈聚惠, 付晓, 张琼, 等. 4D-CTA评估急性缺血性脑卒中患者侧支循环与CTP灌注参数的相关性[J]. 临床放射学杂志, 2020, 39(2): 270-275. https://www.cnki.com.cn/Article/CJFDTOTAL-LCFS202002012.htm
  • Related Articles

    [1]ZHAO Yongfeng, GAN Guocai, WANG Xue, ZHAO Xu, MA Shumei, LI Caiqin, ZHANG Cheng. Predictive value of color Doppler ultrasound parameters for fetal growth restriction induced by gestational hypertension in high-altitude regions[J]. Journal of Clinical Medicine in Practice, 2024, 28(20): 112-118. DOI: 10.7619/jcmp.20241944
    [2]XIE Qiong, FENG Hua, LIN Yan, LI Nan. Changes and significance of Doppler flow velocity curve parameters of the main pulmonary artery in fetuses of pregnant women with early-onset severe preeclampsia[J]. Journal of Clinical Medicine in Practice, 2024, 28(20): 108-111. DOI: 10.7619/jcmp.20241210
    [3]WANG Yan, ZHOU Shu, YU Ping, YU Jian, ZHANG Ruiqi. Analysis of the relationship between microRNA-15a expression and fetal heart malformation in patients with gestational diabetes mellitus[J]. Journal of Clinical Medicine in Practice, 2024, 28(4): 86-91. DOI: 10.7619/jcmp.20232929
    [4]LIAO Weiwei, FANG Fengkai, XIAO Lizhen, ZHENG Weixiu. Value of ultrasound blood flow parameters in diagnosis of fetal respiratory distress with umbilical cord around the neck[J]. Journal of Clinical Medicine in Practice, 2022, 26(21): 131-135. DOI: 10.7619/jcmp.20220818
    [5]LIU Yangyang, YOU Yan, QIN Aiping, MA Min. A case analysis of fetal limb-body wall syndrome[J]. Journal of Clinical Medicine in Practice, 2022, 26(4): 127-129. DOI: 10.7619/jcmp.20212343
    [6]ZANG Yuezhen, YANG Yangyang, LYU Yuan, ZHANG Mingzhu, ZHU Lingling. Indexes of blood cells analysis and clinical characteristics in premature infants with neonatal respiratory distress syndrome at different gestational ages[J]. Journal of Clinical Medicine in Practice, 2021, 25(1): 69-73. DOI: 10.7619/jcmp.20200938
    [7]LYU Yan, TANG Yanhong, XIE Xiao, MA Yan, YAO Changfang, YE Wenfeng. Early diagnostic value of middle cerebral artery and umbilical artery combined with umbilical artery lactic acid and pH detection in diagnosis of fetal distress[J]. Journal of Clinical Medicine in Practice, 2018, (22): 71-73. DOI: 10.7619/jcmp.201822023
    [8]LI Yunduan, LIU Weiwu, XU Xiuying. Multivariate analysis of fetal growth restriction and its prevention measures[J]. Journal of Clinical Medicine in Practice, 2017, (1): 90-93. DOI: 10.7619/jcmp.201701027
    [10]GENG Chun-hui, LIU Hao. Pathological changes of the placenta and its significance in fetal distress[J]. Journal of Clinical Medicine in Practice, 2012, (11): 141-142,144. DOI: 10.3969/j.issn.1672-2353.2012.11.050

Catalog

    Article views (401) PDF downloads (25) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return