Associations between diffusion kurtosis imaging metrics and neurodevelopmental outcomes in neonates with low-grade germinal matrix and intraventricular hemorrhage

被引:1
|
作者
Zhang, Chunxiang [1 ,2 ,3 ]
Cheng, Meiying [2 ]
Zhu, Zitao [4 ]
Wang, Kaiyu [5 ]
Moon, Brianna F. [1 ]
Shen, Sheng [1 ]
Zhang, Bohao [3 ]
Wang, Zihe [6 ]
Lu, Lin [2 ]
Shang, Honglei [2 ]
Qin, Chi [2 ]
Yang, Jinze [2 ]
Lu, Yu [2 ]
Zhang, Xiaoan [2 ,3 ]
Zhao, Xin [2 ,3 ]
机构
[1] Harvard Med Sch, Boston, MA USA
[2] Zhengzhou Univ, Dept Radiol, Affiliated Hosp 3, Zhengzhou, Peoples R China
[3] Zhengzhou Univ, Henan Int Joint Lab Neuroimaging, Zhengzhou, Peoples R China
[4] Wuhan Univ, Wuhan, Peoples R China
[5] GE Healthcare, MR Res China, Beijing, Peoples R China
[6] Zhengzhou Univ, Zhengzhou, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
基金
中国国家自然科学基金;
关键词
Neonates; Germinal matrix hemorrhage-intraventricular hemorrhage; Diffusion kurtosis imaging; Neurodevelopmental outcomes; Quantitative MRI; PRETERM INFANTS;
D O I
10.1038/s41598-024-67517-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Diffusion Kurtosis Imaging (DKI)-derived metrics are recognized as indicators of maturation in neonates with low-grade germinal matrix and intraventricular hemorrhage (GMH-IVH). However, it is not yet known if these factors are associated with neurodevelopmental outcomes. The objective of this study was to acquire DKI-derived metrics in neonates with low-grade GMH-IVH, and to demonstrate their association with later neurodevelopmental outcomes. In this prospective study, neonates with low-grade GMH-IVH and control neonates were recruited, and DKI were performed between January 2020 and March 2021. These neonates underwent the Bayley Scales of Infant Development test at 18 months of age. Mean kurtosis (MK), radial kurtosis (RK) and gray matter values were measured. Spearman correlation analyses were conducted for the measured values and neurodevelopmental outcome scores. Forty controls (18 males, average gestational age (GA) 30 weeks +/- 1.3, corrected GA at MRI scan 38 weeks +/- 1) and thirty neonates with low-grade GMH-IVH (13 males, average GA 30 weeks +/- 1.5, corrected GA at MRI scan 38 weeks +/- 1). Neonates with low-grade GMH-IVH exhibited lower MK and RK values in the PLIC and the thalamus (P < 0.05). The MK value in the thalamus was associated with Mental Development Index (MDI) (r = 0.810, 95% CI 0.695-0.13; P < 0.001) and Psychomotor Development Index (PDI) (r = 0.852, 95% CI 0.722-0.912; P < 0.001) scores. RK value in the caudate nucleus significantly and positively correlated with MDI (r = 0.496, 95% CI 0.657-0.933; P < 0.001) and PDI (r = 0.545, 95% CI 0.712-0.942; P < 0.001) scores. The area under the curve (AUC) were used to assess diagnostic performance of MK and RK in thalamus (AUC = 0.866, 0.787) and caudate nucleus (AUC = 0.833, 0.671) for predicting neurodevelopmental outcomes. As quantitative neuroimaging markers, MK in thalamus and RK in caudate nucleus may help predict neurodevelopmental outcomes in neonates with low-grade GMH-IVH.
引用
收藏
页数:9
相关论文
共 14 条
  • [1] Predicting neurodevelopmental outcomes in extremely preterm neonates with low-grade germinal matrix-intraventricular hemorrhage using synthetic MRI
    Zhang, Chunxiang
    Zhu, Zitao
    Wang, Kaiyu
    Wang, Linlin
    Lu, Jiaqi
    Lu, Lin
    Xing, Qingna
    Wang, Xueyuan
    Zhang, Xiaoan
    Zhao, Xin
    FRONTIERS IN NEUROSCIENCE, 2024, 18
  • [2] Low-Grade Intraventricular Hemorrhage and Neurodevelopmental Outcomes at 24-42 Months of Age
    Scott, Theresa E.
    Aboudi, David
    Kase, Jordan S.
    JOURNAL OF CHILD NEUROLOGY, 2020, 35 (09) : 578 - 584
  • [3] Reduced cerebral blood flow and oxygen metabolism in extremely preterm neonates with low-grade germinal matrix-intraventricular hemorrhage
    Lin, Pei-Yi
    Hagan, Katherine
    Fenoglio, Angela
    Grant, P. Ellen
    Franceschini, Maria Angela
    SCIENTIFIC REPORTS, 2016, 6
  • [4] Regional impairment of cortical and deep gray matter perfusion in preterm neonates with low-grade germinal matrix-intraventricular hemorrhage: an ASL study
    Tortora, Domenico
    Lo Russo, Francesco Maria
    Severino, Mariasavina
    Parodi, Alessandro
    Massirio, Paolo
    Ramenghi, Luca Antonio
    Rossi, Andrea
    NEURORADIOLOGY, 2020, 62 (12) : 1689 - 1699
  • [5] Value of diffusion kurtosis imaging in assessing low-grade gliomas
    Goryawala, Mohammed Z.
    Heros, Deborah O.
    Komotar, Ricardo J.
    Sheriff, Sulaiman
    Saraf-Lavi, Efrat
    Maudsley, Andrew A.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 48 (06) : 1551 - 1558
  • [6] Assessment of brain structure and volume reveals neurodevelopmental abnormalities in preterm infants with low-grade intraventricular hemorrhage
    Zhang, Chunxiang
    Zhu, Zitao
    Wang, Kaiyu
    Moon, Brianna F.
    Zhang, Bohao
    Shen, Yanyong
    Wang, Zihe
    Zhao, Xin
    Zhang, Xiaoan
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [7] Impact of low-grade intraventricular hemorrhage on long-term neurodevelopmental outcome in preterm infants
    K. Klebermass-Schrehof
    C. Czaba
    M. Olischar
    R. Fuiko
    T. Waldhoer
    Z. Rona
    A. Pollak
    M. Weninger
    Child's Nervous System, 2012, 28 : 2085 - 2092
  • [8] Impact of low-grade intraventricular hemorrhage on long-term neurodevelopmental outcome in preterm infants
    Klebermass-Schrehof, K.
    Czaba, C.
    Olischar, M.
    Fuiko, R.
    Waldhoer, T.
    Rona, Z.
    Pollak, A.
    Weninger, M.
    CHILDS NERVOUS SYSTEM, 2012, 28 (12) : 2085 - 2092
  • [9] Impact of low-grade intraventricular hemorrhage on neurodevelopmental outcome in very preterm infants at two years of age
    Perisset, Alexandra
    Natalucci, Giancarlo
    Adams, Mark
    Karen, Tanja
    Bassler, Dirk
    Hagmann, Cornelia
    EARLY HUMAN DEVELOPMENT, 2023, 177
  • [10] Performance of Diffusion Kurtosis Imaging Versus Diffusion Tensor Imaging in Discriminating Between Benign Tissue, Low and High Gleason Grade Prostate Cancer
    Di Trani, Maria Giovanna
    Nezzo, Marco
    Caporale, Alessandra S.
    De Feo, Riccardo
    Miano, Roberto
    Mauriello, Alessandro
    Bove, Pierluigi
    Manenti, Guglielmo
    Capuani, Silvia
    ACADEMIC RADIOLOGY, 2019, 26 (10) : 1328 - 1337