Deep Medullary Vein Integrity and Relationships with Small Vessel Disease and Interstitial Diffusivity Measures in Patients with a Recent Small Subcortical Infarct

References

1. 1.↵
   1. Wardlaw JM,
   2. Smith C,
   3. Dichgans M

   . Small vessel disease: mechanisms and clinical implications. Lancet Neurol 2019;18:684–96 doi:10.1016/S1474-4422(19)30079-1 pmid:31097385

   CrossRefPubMed
2. 2.↵
   1. Moody DM,
   2. Brown WR,
   3. Challa VR, et al

   . Periventricular venous collagenosis: association with leukoaraiosis. Radiology 1995;194:469–76 doi:10.1148/radiology.194.2.7824728 pmid:7824728

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Nan D,
   2. Cheng Y,
   3. Feng L, et al

   . Potential mechanism of venous system for leukoaraiosis: from post-mortem to in vivo research. Neurodegener Dis 2019;19:101–08 doi:10.1159/000505157 pmid:32045917

   CrossRefPubMed
4. 4.↵
   1. Bohr T,
   2. Hjorth PG,
   3. Holst SC, et al

   . The glymphatic system: current understanding and modeling. iScience 2022;25:104987 doi:10.1016/j.isci.2022.104987 pmid:36093063

   CrossRefPubMed
5. 5.↵
   1. Sennfält S,
   2. Thrippleton MJ,
   3. Stringer M, et al

   . Visualising and semi-quantitatively measuring brain fluid pathways, including meningeal lymphatics, in humans using widely available MRI techniques. J Cereb Blood Flow Metab 2023;43:1779–95 doi:10.1177/0271678X231179555 pmid:37254892

   CrossRefPubMed
6. 6.↵
   1. Taoka T,
   2. Fukusumi A,
   3. Miyasaka T, et al

   . Structure of the medullary veins of the cerebral hemisphere and related disorders. Radiographics 2017;37:281–97 doi:10.1148/rg.2017160061 pmid:28076020

   CrossRefPubMed
7. 7.↵
   1. Bouvy WH,
   2. Biessels GJ,
   3. Kuijf HJ, et al

   . Visualization of perivascular spaces and perforating arteries with 7 T magnetic resonance imaging. Invest Radiol 2014;49:307–13 doi:10.1097/RLI.0000000000000027 pmid:24473365

   CrossRefPubMed
8. 8.↵
   1. Zhang R,
   2. Zhou Y,
   3. Yan S, et al

   . A brain region-based deep medullary veins visual score on susceptibility weighted imaging. Front Aging Neurosci 2017;9:269 doi:10.3389/fnagi.2017.00269 pmid:28848426

   CrossRefPubMed
9. 9.↵
   1. Ao D-H,
   2. Zhang D-D,
   3. Zhai F-F, et al

   . Brain deep medullary veins on 3-T MRI in a population-based cohort. J Cereb Blood Flow Metab 2021;41:561–68 doi:10.1177/0271678X20918467 pmid:32312169

   CrossRefPubMed
10. 10.↵
    1. Chen X,
    2. Wei L,
    3. Wang J, et al

    . Decreased visible deep medullary veins is a novel imaging marker for cerebral small vessel disease. Neurol Sci 2020;41:1497–506 doi:10.1007/s10072-019-04203-9 pmid:31955350

    CrossRefPubMed
11. 11.↵
    1. Yin X,
    2. Han Y,
    3. Cao X, et al

    . Association of deep medullary veins with the neuroimaging burden of cerebral small vessel disease. Quant Imaging Med Surg 2023;13:27–36 doi:10.21037/qims-22-264 pmid:36620153

    CrossRefPubMed
12. 12.↵
    1. Wang X,
    2. Lyu J,
    3. Duan Q

    ; MR-STARS Investigators, et al. Deep medullary vein damage correlates with small vessel disease in small vessel occlusion acute ischemic stroke. Eur Radiol 2024;34:6026–35 doi:10.1007/s00330-024-10628-4 pmid:38337069

    CrossRefPubMed
13. 13.↵
    1. Cai J,
    2. Sun J,
    3. Chen H, et al

    . Different mechanisms in periventricular and deep white matter hyperintensities in old subjects. Front Aging Neurosci 2022;14:940538 doi:10.3389/fnagi.2022.940538 pmid:36034143

    CrossRefPubMed
14. 14.↵
    1. Xu Z,
    2. Li F,
    3. Wang B, et al

    . New insights in addressing cerebral small vessel disease: association with the deep medullary veins. Front Aging Neurosci 2020;12:597799 doi:10.3389/fnagi.2020.597799 pmid:33335483

    CrossRefPubMed
15. 15.↵
    1. Zhang K,
    2. Zhou Y,
    3. Zhang W, et al

    . MRI-visible perivascular spaces in basal ganglia but not centrum semiovale or hippocampus were related to deep medullary veins changes. J Cereb Blood Flow Metab 2022;42:136–44 doi:10.1177/0271678X211038138 pmid:34431378

    CrossRefPubMed
16. 16.↵
    1. Zhang R,
    2. Huang P,
    3. Jiaerken Y, et al

    . Venous disruption affects white matter integrity through increased interstitial fluid in cerebral small vessel disease. J Cereb Blood Flow Metab 2021;41:157–65 doi:10.1177/0271678X20904840 pmid:32065078

    CrossRefPubMed
17. 17.↵
    1. Wang H,
    2. Lei X,
    3. Lan H, et al

    . Impact of decreased visibility of deep medullary veins on white matter integrity in patients with cerebral small vessel disease. J Integr Neurosci 2023;22:170 doi:10.31083/j.jin2206170 pmid:38176926

    CrossRefPubMed
18. 18.↵
    1. Liao M,
    2. Wang M,
    3. Li H, et al

    . Discontinuity of deep medullary veins in SWI is associated with deep white matter hyperintensity volume and cognitive impairment in cerebral small vessel disease. J Affect Disord 2024;350:600–07 doi:10.1016/j.jad.2024.01.124 pmid:38253134

    CrossRefPubMed
19. 19.↵
    1. Chen X,
    2. Luo Y,
    3. Zhang S, et al

    . Deep medullary veins: a promising neuroimaging marker for mild cognitive impairment in outpatients. BMC Neurol 2023;23:3 doi:10.1186/s12883-022-03037-x pmid:36604624

    CrossRefPubMed
20. 20.↵
    1. Duering M,
    2. Biessels GJ,
    3. Brodtmann A, et al

    . Neuroimaging standards for research into small vessel disease-advances since 2013. Lancet Neurol 2023;22:602–18 doi:10.1016/S1474-4422(23)00131-X pmid:37236211

    CrossRefPubMed
21. 21.↵
    1. Smith EE,
    2. Biessels GJ,
    3. De Guio F, et al

    . Harmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration. Alzheimers Dement (Amst) 2019;11:191–204 doi:10.1016/j.dadm.2019.01.002 pmid:30859119

    CrossRefPubMed
22. 22.↵
    1. Staals J,
    2. Makin SDJ,
    3. Doubal FN, et al

    . Stroke subtype, vascular risk factors, and total MRI brain small-vessel disease burden. Neurology 2014;83:1228–34 doi:10.1212/WNL.0000000000000837 pmid:25165388

    Abstract/FREE Full Text
23. 23.↵
    1. Duarte Coello R,
    2. Valdés Hernández MDC,
    3. Zwanenburg JJM, et al

    . Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images. J Neurosci Methods 2024;403:110039 doi:10.1016/j.jneumeth.2023.110039 pmid:38128784

    CrossRefPubMed
24. 24.↵
    1. Valdés Hernández MDC,
    2. Ballerini L,
    3. Glatz A

    . Step-by-Step Pipeline for Segmenting Enlarged Perivascular Spaces from 3D T2-Weighted MRI, 2018–2023. University of Edinburgh; 2023.
25. 25.↵
    1. Hernández MDVC,
    2. Ferguson KJ,
    3. Chappell FM, et al

    . New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images. Eur Radiol 2010;20:1684–91 doi:10.1007/s00330-010-1718-6 pmid:20157814

    CrossRefPubMed
26. 26.↵
    1. Taoka T,
    2. Masutani Y,
    3. Kawai H, et al

    . Evaluation of glymphatic system activity with the diffusion MR technique: diffusion tensor image analysis along the perivascular space (DTI-ALPS) in Alzheimer’s disease cases. Jpn J Radiol 2017;35:172–78 doi:10.1007/s11604-017-0617-z pmid:28197821

    CrossRefPubMed
27. 27.↵
    1. Garyfallidis E,
    2. Brett M,
    3. Amirbekian B

    ; Dipy Contributors, et al. Dipy, a library for the analysis of diffusion MRI data. Front Neuroinform 2014;8:8 doi:10.3389/fninf.2014.00008 pmid:24600385

    CrossRefPubMed
28. 28.↵
    1. Huang C-W,
    2. Hsu S-W,
    3. Chang Y-T, et al

    . Cerebral perfusion insufficiency and relationships with cognitive deficits in Alzheimer’s disease: a multiparametric neuroimaging study. Sci Rep 2018;8:1541 doi:10.1038/s41598-018-19387-x pmid:29367598

    CrossRefPubMed
29. 29.↵
    1. Liu Z-Y,
    2. Wang P,
    3. Zhai F-F, et al

    . Dynamic mechanism of cerebral venous disruption: longitudinal evidence from a community-based cohort. J Am Heart Assoc 2024;13:e034145 doi:10.1161/JAHA.123.034145 pmid:38761086

    CrossRefPubMed
30. 30.↵
    1. Liu Z-Y,
    2. Zhai F-F,
    3. Ao D-H, et al

    . Deep medullary veins are associated with widespread brain structural abnormalities. J Cereb Blood Flow Metab 2022;42:997–1006 doi:10.1177/0271678X211065210 pmid:34855528

    CrossRefPubMed
31. 31.↵
    1. Li C,
    2. Rusinek H,
    3. Chen J, et al

    . Reduced white matter venous density on MRI is associated with neurodegeneration and cognitive impairment in the elderly. Front Aging Neurosci 2022;14:972282 doi:10.3389/fnagi.2022.972282 pmid:36118685

    CrossRefPubMed
32. 32.↵
    1. Duering M,
    2. Finsterwalder S,
    3. Baykara E, et al

    . Free water determines diffusion alterations and clinical status in cerebral small vessel disease. Alzheimers Dement 2018;14:764–74 doi:10.1016/j.jalz.2017.12.007 pmid:29406155

    CrossRefPubMed
33. 33.↵
    1. Ringstad G

    . Glymphatic imaging: a critical look at the DTI-ALPS index. Neuroradiology 2024;66:157–60 doi:10.1007/s00234-023-03270-2 pmid:38197950

    CrossRefPubMed
34. 34.↵
    1. Hermier M,
    2. Nighoghossian N

    . Contribution of susceptibility-weighted imaging to acute stroke assessment. Stroke 2004;35:1989–94 doi:10.1161/01.STR.0000133341.74387.96 pmid:15192245

    Abstract/FREE Full Text
35. 35.↵
    1. Kuijf HJ,
    2. Bouvy WH,
    3. Zwanenburg JJM, et al

    . Quantification of deep medullary veins at 7 T brain MRI. Eur Radiology 2016;26:3412–18 doi:10.1007/s00330-016-4220-y pmid:26883328

    CrossRefPubMed