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Karimi A, Setänen S, Larsson E, Holmström G, Fredriksson Kaul Y, Kochukhova O, Johansson M, Montgomery C, Hellström-Westas L, Wikström J. Brain MRI findings and their association with visual impairment in young adolescents born very preterm. Neuroradiology 2024; 66:145-154. [PMID: 37870588 PMCID: PMC10761469 DOI: 10.1007/s00234-023-03235-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 10/04/2023] [Indexed: 10/24/2023]
Abstract
PURPOSE Very preterm birth increases risk for neonatal white matter injury, but there is limited data on to what extent this persists into adolescence and how this relates to ophthalmological outcomes. The aim of this study was to assess brain MRI findings in 12-year-old children born very preterm compared to controls and their association with concurrent ophthalmological outcomes. METHODS We included 47 children born very preterm and 22 full-term controls (gestational age <32 and >37 weeks, respectively). Brain MRI findings were studied in association with concurrent ophthalmological outcomes at 12-year follow-up. RESULTS Evans index (0.27 vs 0.25, p<0.001) and a proposed "posterior ventricle index" (0.47 vs 0.45, p=0.018) were increased in children born very preterm. Higher gestational age associated with larger corpus callosum area (β=10.7, 95%CI 0.59-20.8). Focal white matter lesions were observed in 15 (32%) of very preterm children and in 1 (5%) of full-term controls. Increased posterior ventricle index increased risk for visual acuity ≤1.0 (OR=1.07×1011, 95%CI=7.78-1.48×1021) and contrast sensitivity <0.5 (OR=2.6×1027, 95%CI=1.9×108-3.5×1046). Decreased peritrigonal white matter thickness associated with impaired visual acuity (β=0.04, 95%CI 0.002-0.07). CONCLUSION More white matter lesions and evidence of lower white matter volume were found in children born very preterm compared with full-term controls at 12-year follow-up. The association between larger posterior ventricle index and reduced visual acuity and contrast sensitivity suggests disturbances of the posterior visual pathway due to diffuse white matter lesions.
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Affiliation(s)
- Annette Karimi
- Department of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden.
- Radiology Department, Uppsala University Hospital, Uppsala, Sweden.
| | - Sirkku Setänen
- Department of Pediatric Neurology, University of Turku, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Eva Larsson
- Department of Surgical Sciences, Ophthalmology, Uppsala University, Uppsala, Sweden
| | - Gerd Holmström
- Department of Surgical Sciences, Ophthalmology, Uppsala University, Uppsala, Sweden
| | | | - Olga Kochukhova
- Departments of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Departments of Psychology, Uppsala University, Uppsala, Sweden
| | - Martin Johansson
- Departments of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Cecilia Montgomery
- Departments of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | | | - Johan Wikström
- Department of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden
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Hedderich DM, Boeckh-Behrens T, Bäuml JG, Menegaux A, Daamen M, Zimmer C, Bartmann P, Scheef L, Boecker H, Wolke D, Sorg C, Spiro JE. Sequelae of Premature Birth in Young Adults : Incidental Findings on Routine Brain MRI. Clin Neuroradiol 2020; 31:325-333. [PMID: 32291477 PMCID: PMC8211575 DOI: 10.1007/s00062-020-00901-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/10/2020] [Indexed: 01/14/2023]
Abstract
Background and Purpose Qualitative studies about the abnormalities appreciated on routine magnetic resonance imaging (MRI) sequences in prematurely born adults are lacking. This article aimed at filling this knowledge gap by (1) qualitatively describing routine imaging findings in prematurely born adults, (2) evaluating measures for routine image interpretation and (3) investigating the impact of perinatal variables related to premature birth. Methods In this study two board-certified radiologists assessed T1-weighted and FLAIR-weighted images of 100 prematurely born adults born very preterm (VP <32 weeks) and/or at very low birth weight (VLBW <1500 g) and 106 controls born at full term (FT) (mean age 26.8 ± 0.7 years). The number of white matter lesions (WML) was counted according to localization. Lateral ventricle volume (LVV) was evaluated subjectively and by measurements of Evans’ index (EI) and frontal-occipital-horn ratio (FOHR). Freesurfer-based volumetry served as reference standard. Miscellaneous incidental findings were noted as free text. Results The LVV was increased in 24.7% of VP/VLBW individuals and significantly larger than in FT controls. This was best identified by measurement of FOHR (AUC = 0.928). Ventricular enlargement was predicted by low gestational age (odds ratio: 0.71, 95% CI 0.51–0.98) and presence of neonatal intracranial hemorrhage (odds ratio: 0.26, 95% CI 0.07–0.92). The numbers of deep and periventricular WML were increased while subcortical WMLs were not. Conclusion Enlargement of the LVV and deep and periventricular WMLs are typical sequelae of premature birth that can be appreciated on routine brain MRI. To increase sensitivity of abnormal LVV detection, measurement of FOHR seems feasible in clinical practice. Electronic supplementary material The online version of this article (10.1007/s00062-020-00901-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dennis M Hedderich
- TUM-NIC Neuroimaging Center, Munich, Germany. .,Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany.
| | - Tobias Boeckh-Behrens
- TUM-NIC Neuroimaging Center, Munich, Germany.,Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany
| | - Josef G Bäuml
- TUM-NIC Neuroimaging Center, Munich, Germany.,Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany
| | - Aurore Menegaux
- TUM-NIC Neuroimaging Center, Munich, Germany.,Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany
| | - Marcel Daamen
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Claus Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Lukas Scheef
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Henning Boecker
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Dieter Wolke
- Department of Psychology, University of Warwick, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK
| | - Christian Sorg
- TUM-NIC Neuroimaging Center, Munich, Germany.,Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany.,Department of Psychiatry, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Judith E Spiro
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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Jurcoane A, Daamen M, Keil VC, Scheef L, Bäuml JG, Meng C, Wohlschläger AM, Sorg C, Busch B, Baumann N, Wolke D, Bartmann P, Boecker H, Lüchters G, Marinova M, Hattingen E. Automated quantitative evaluation of brain MRI may be more accurate for discriminating preterm born adults. Eur Radiol 2019; 29:3533-3542. [PMID: 30903339 DOI: 10.1007/s00330-019-06099-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 02/01/2019] [Accepted: 02/11/2019] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To investigate the structural brain abnormalities and their diagnostic accuracy through qualitative and quantitative analysis in term born and very preterm birth or with very low birth weight (VP/VLBW) adults. METHODS We analyzed 3-T MRIs acquired in 2011-2013 from 67 adults (27 term born controls, mean age 26.4 years, 8 females; 40 VP/VLBWs, mean age 26.6 years, 16 females). We compared automatic segmentations of the white matter, deep gray matter and cortical gray matter, manual corpus callosum measurements and visual ratings of the ventricles and white matter with t tests, logistic regression, and receiver operator characteristic (ROC) curves. RESULTS Automatic segmentation correctly classified 84% of cases; visual ratings correctly classified 63%. Quantitative volumetry based on automatic segmentation revealed higher ventricular volume, lower posterior corpus callosum, and deep gray matter volumes in VP/VLBW subjects compared to controls (p < 0.01). Visual rating and manual measurement revealed a thinner corpus callosum in VP/VLBW adults (p = 0.04) and deformed lateral ventricles (p = 0.03) and tendency towards more "dirty" white matter (p = 0.06). Automatic/manual measures combined with visual ratings correctly classified 87% of cases. Stepwise logistic regression identified three independent features that correctly classify 81% of cases: ventricular volume, deep gray matter volume, and white matter aspect. CONCLUSION Enlarged and deformed lateral ventricles, thinner corpus callosum, and "dirty" white matter are prevalent in preterm born adults. Their visual evaluation has low diagnostic accuracy. Automatic volume quantification is more accurate but time consuming. It may be useful to ask for prematurity before initiating further diagnostics in subjects with these alterations. KEY POINTS • Our study confirms prior reports showing that structural brain abnormalities related to preterm birth persist into adulthood. • In the clinical practice, if large and deformed lateral ventricles, small and thin corpus callosum, and "dirty" white matter are visible on MRI, ask for prematurity before considering other diagnoses. • Although prevalent, visual findings have low accuracy; adding automatic segmentation of lateral ventricles and deep gray matter nuclei improves the diagnostic accuracy.
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Affiliation(s)
- Alina Jurcoane
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany.
- Section of Neuroradiology, Department of Radiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53105, Bonn, Germany.
- Department of Neonatology, University Hospital Bonn, Bonn, Germany.
- Institute for Neuroradiology, University Hospital Frankfurt, Frankfurt, Germany.
| | - Marcel Daamen
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
- Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Vera C Keil
- Section of Neuroradiology, Department of Radiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53105, Bonn, Germany
| | - Lukas Scheef
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Josef G Bäuml
- Department of Neuroradiology, Klinikum rechts der Isar, Munich, Germany
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
| | - Chun Meng
- Department of Neuroradiology, Klinikum rechts der Isar, Munich, Germany
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
| | - Afra M Wohlschläger
- Department of Neuroradiology, Klinikum rechts der Isar, Munich, Germany
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
| | - Christian Sorg
- Department of Neuroradiology, Klinikum rechts der Isar, Munich, Germany
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
- Department of Psychiatry, Klinikum rechts der Isar, Munich, Germany
| | - Barbara Busch
- Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Nicole Baumann
- Department of Psychology, University of Warwick, Coventry, UK
| | - Dieter Wolke
- Department of Psychology, University of Warwick, Coventry, UK
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Henning Boecker
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Guido Lüchters
- Center for Development Research, University of Bonn, Bonn, Germany
| | - Milka Marinova
- Section of Neuroradiology, Department of Radiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53105, Bonn, Germany
| | - Elke Hattingen
- Section of Neuroradiology, Department of Radiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53105, Bonn, Germany
- Institute for Neuroradiology, University Hospital Frankfurt, Frankfurt, Germany
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