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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Research Article

Assessment of Cerebral Arterial Flow Volume Changes with Carotid Vertebral Artery Duplex Doppler Ultrasound in Young-Middle-aged Subclinical Hashimoto Thyroiditis Patients

Author(s): Yusuf Aksu*, Servet Kahveci, Şaban Tiryaki, Murat Şahin and Fezan Mutlu

Volume 19, Issue 7, 2023

Published on: 17 January, 2023

Article ID: e221222212107 Pages: 8

DOI: 10.2174/1573405619666221222105801

Price: $65

Abstract

Objectives: To demonstrate cerebral arterial flow volume changes during the hypothyroid, euthyroid, and hyperthyroid phases and comparing between laboratory findings and cerebral arterial flow changes with carotid-vertebral duplex Doppler ultrasound (CVA-DUSG) in subclinical Hashimoto thyroiditis (HT) patients.

Methods: According to the TSH level, 3 groups were constructed between patient cases. Group 1 (n=29) was the subclinical hyperthyroid group. In this group, the TSH level was between 0.0005 and 0.3 IU/ml. Group 2 (n=175) was the euthyroid group. TSH level in this group was between 0.3 and 4.2 IU/ml. Group 3 (n=76) was the subclinical hypothyroid group. In this group, the TSH level was above 4.2 IU/ml. The control-group (group 4) (n=71) included healthy people. In this group, the TSH level was between 0.3 and 4.2 IU/ml. After obtaining at least three consecutive waves from the bilateral internal cerebral artery and bilateral vertebral artery, volume flows were calculated using CVA-DUSG. Volume flows were calculated as peak systolic velocity + end diastolic velocity/2 × mean arterial diameter. The mean ICA(Internal Carotid Artery) and VA(Vertebral Artery) diameter was measured per ICA and VA. Total cerebral artery flow volume was defined as right ICA + right VA flow volume and left ICA + left VA flow volume. We also demonstrated topographic cerebral artery blood flow changes. Total ICA flow volume was used to assess the anterior part of the brain, total VA flow volume was used to evaluate the posterior part of the brain, right ICA + right VA flow volume was used to assess the right part of the brain, and left ICA + left VA flow volume was used to verify the left part of the brain.

Results: There were significant differences between RVA(Right Vertebral Artery) flow volume, LICA (Left Internal Carotid Artery) flow volume, total flow volume, TSH, and T3 and T4 levels in all groups according to the Dunn's multiple comparison test.(p<0.001) Mean TSH level was 0.03 (0.005-0.06) IU/ml in group 1, 2.8 (1.8-3.97) IU/ml in group 2, 7.32 (6.14-9.93) IU/ml in group 3, and 1.76 (1.17-2.49) IU/ml in the control group. The mean T3 level was 4.18 (3.55-5.38) in group 1, 2.88 (2.63-3.16) in group 2, 2.82 (2.49-3.15) in group 3, 3.14 (2.92-3.15) in the control group. The mean T4 level was 1.92 (1.29-2.5) in group 1, 1.16(1.03-1.31) in group 2, 1.01 (0.91-1.16) in group 3, 1.12 (0.97-1.30) in the control group (group 4). Mean total flow volume was 793 (745-898) ml/min in group 1, 742 (684.25-822.5) ml/min in group 2, 747 (692-824) ml/min in group 3, and 700 (673-675) ml/min in the control group. We also demonstrated topographic cerebral arterial volume flow changes with CVA-DUSG. There was a significant difference among all groups in the right and anterior parts of the brain (p < 0.001), and there was a significant difference between groups 1 and 4 in the left part of the brain (p = 0.009).

Conclusion: This study demonstrated that total cerebral arterial volume flow increased in the hyperthyroid phase of subclinical HT cases without any internal carotid and vertebral artery diameter changes compared with the euthyroid and hypothyroid phases of subclinical HT and healthy cases. We also verified topographic cerebral arterial blood flow changes in subclinical HT cases with a real-time, easily applicable modality (CVA-DUSG) that does not include X-ray or contrast agents. There was a significant difference between all groups in the right and anterior parts of the brain and there was a significant difference between groups 1 and 4 in the left part of the brain.

Graphical Abstract

[1]
Ralli M, Angeletti D, Fiore M, et al. Hashimoto’s thyroiditis: An update on pathogenic mechanisms, diagnostic protocols, therapeutic strategies, and potential malignant transformation. Autoimmun Rev 2020; 19(10): 102649.
[http://dx.doi.org/10.1016/j.autrev.2020.102649] [PMID: 32805423]
[2]
van Campen CLMC, Verheugt FWA, Visser FC. Cerebral blood flow changes during tilt table testing in healthy volunteers, as assessed by Doppler imaging of the carotid and vertebral arteries. Clin Neurophysiol Pract 2018; 3: 91-5.
[http://dx.doi.org/10.1016/j.cnp.2018.02.004] [PMID: 30215015]
[3]
Weetman AP. An update on the pathogenesis of Hashimoto’s thyroiditis. J Endocrinol Invest 2021; 44(5): 883-90.
[http://dx.doi.org/10.1007/s40618-020-01477-1] [PMID: 33332019]
[4]
Gong B, Wang C, Meng F, et al. Association between gut microbiota and autoimmune Thyroid disease: A systematic review and meta-analysis. Front Endocrinol (Lausanne) 2021; 12: 774362.
[http://dx.doi.org/10.3389/fendo.2021.774362] [PMID: 34867823]
[5]
Braun D, Schweizer U. Thyroid hormone transport and transporters. Vitam Horm 2018; 106: 19-44.
[http://dx.doi.org/10.1016/bs.vh.2017.04.005] [PMID: 29407435]
[6]
Ragusa F, Fallahi P, Elia G, et al. Hashimotos’ thyroiditis: Epidemiology, pathogenesis, clinic and therapy. Best Pract Res Clin Endocrinol Metab 2019; 33(6): 101367.
[http://dx.doi.org/10.1016/j.beem.2019.101367] [PMID: 31812326]
[7]
Chaker L, Bianco AC, Jonklaas J, Peeters RP. Hypothyroidism. Lancet 2017; 390(10101): 1550-62.
[http://dx.doi.org/10.1016/S0140-6736(17)30703-1] [PMID: 28336049]
[8]
Guerri G, Bressan S, Sartori M, et al. Hypothyroidism and hyperthyroidism. Acta Biomed 2019; 90(10-S): 83-6.
[PMID: 31577260]
[9]
Mehran L, Amouzegar A, Rahimabad P, Tohidi M, Tahmasebinejad Z, Azizi F. Thyroid function and metabolic syndrome: A population-based Thyroid study. Horm Metab Res 2017; 49(3): 192-200.
[http://dx.doi.org/10.1055/s-0042-117279] [PMID: 28351085]
[10]
Biondi B, Cooper DS. Subclinical hyperthyroidism. N Engl J Med 2018; 378(25): 2411-9.
[http://dx.doi.org/10.1056/NEJMcp1709318] [PMID: 29924956]
[11]
Biondi B, Cappola AR, Cooper DS. Subclinical Hypothyroidism. JAMA 2019; 322(2): 153-60.
[http://dx.doi.org/10.1001/jama.2019.9052] [PMID: 31287527]
[12]
Wu G, Zou D, Cai H, Liu Y. Ultrasonography in diagnosis of Hashimoto rsquo s thyroiditis. Front Biosci 2016; 21(5): 1006-12.
[http://dx.doi.org/10.2741/4437] [PMID: 27100487]
[13]
Baumgartner C, da Costa BR, Collet TH, et al. Thyroid function within the normal range, subclinical hypothyroidism, and the risk of atrial fibrillation. Circulation 2017; 136(22): 2100-16.
[http://dx.doi.org/10.1161/CIRCULATIONAHA.117.028753] [PMID: 29061566]
[14]
Jeong HS, Choi EK, Song IU, Chung YA, Park JS, Oh JK. Differences in brain glucose metabolism during preparation for 131 I ablation in thyroid cancer patients: Thyroid hormone withdrawal versus recombinant human thyrotropin. Thyroid 2017; 27(1): 23-8.
[http://dx.doi.org/10.1089/thy.2016.0293] [PMID: 27774839]
[15]
Bauer M, Silverman DHS, Schlagenhauf F, et al. Brain glucose metabolism in hypothyroidism: A positron emission tomography study before and after thyroid hormone replacement therapy. J Clin Endocrinol Metab 2009; 94(8): 2922-9.
[http://dx.doi.org/10.1210/jc.2008-2235] [PMID: 19435829]
[16]
Carson RE. Quantitative cerebral blood flow with PET in the 1980s: Going with the flow. J Nucl Med 2020; 61 (Suppl. 2): 89S-104S.
[http://dx.doi.org/10.2967/jnumed.120.252130] [PMID: 33293455]
[17]
Wang J, Sun H, Cui B, et al. The relationship among glucose metabolism, cerebral blood flow, and functional activity: A Hybrid PET/fMRI study. Mol Neurobiol 2021; 58(6): 2862-73.
[http://dx.doi.org/10.1007/s12035-021-02305-0] [PMID: 33523358]
[18]
Fei P, Soucy JP, Obaid S, Boucher O, Bouthillier A, Nguyen DK. The value of regional cerebral blood flow SPECT and FDG PET in operculoinsular epilepsy. Clin Nucl Med 2018; 43(3): e67-73.
[http://dx.doi.org/10.1097/RLU.0000000000001949] [PMID: 29389774]
[19]
Ssali T, Anazodo UC, Thiessen JD, Prato FS, St Lawrence K. A noninvasive method for quantifying cerebral blood flow by hybrid PET/MRI. J Nucl Med 2018; 59(8): 1329-34.
[http://dx.doi.org/10.2967/jnumed.117.203414] [PMID: 29523628]
[20]
Koh TS, Shi W, Thng CH, et al. Assessment of tumor blood flow distribution by dynamic contrast-enhanced CT. IEEE Trans Med Imaging 2013; 32(8): 1504-14.
[http://dx.doi.org/10.1109/TMI.2013.2258404] [PMID: 23625351]
[21]
Krausz Y, Freedman N, Lester H, et al. Regional cerebral blood flow in patients with mild hypothyroidism. J Nucl Med 2004; 45(10): 1712-5.
[PMID: 15471838]
[22]
Chiaravalloti A, Ursini F, Fiorentini A, et al. Functional correlates of TSH, fT3 and fT4 in Alzheimer disease: A F-18 FDG PET/CT study. Sci Rep 2017; 7(1): 6220.
[http://dx.doi.org/10.1038/s41598-017-06138-7] [PMID: 28740088]
[23]
Krausz Y, Freedman N, Lester H, et al. Brain SPECT study of common ground between hypothyroidism and depression. Int J Neuropsychopharmacol 2007; 10(1): 99-106.
[http://dx.doi.org/10.1017/S1461145706006481] [PMID: 16674833]
[24]
Kaszczewski P, Elwertowski M, Leszczyński J, Ostrowski T, Gałązka Z. Volumetric flow assessment in doppler ultrasonography in risk stratification of patients with internal carotid stenosis and occlusion. J Clin Med 2022; 11(3): 531.
[http://dx.doi.org/10.3390/jcm11030531] [PMID: 35159983]
[25]
Slupe AM, Kirsch JR. Effects of anesthesia on cerebral blood flow, metabolism, and neuroprotection. J Cereb Blood Flow Metab 2018; 38(12): 2192-208.
[http://dx.doi.org/10.1177/0271678X18789273] [PMID: 30009645]
[26]
Kaya A, Akgöl G, Gülkesen A, Poyraz AK, Yildirim T, Atmaca M. Cerebral blood flow volume using color duplex sonography in patients with fibromyalgia syndrome. Arch Rheumatol 2018; 33(1): 66-72.
[http://dx.doi.org/10.5606/ArchRheumatol.2018.6466] [PMID: 29900985]
[27]
Yin J, Xie L, Luo D, et al. Changes of structural and functional attention control networks in subclinical hypothyroidism. Front Behav Neurosci 2021; 15: 725908.
[http://dx.doi.org/10.3389/fnbeh.2021.725908] [PMID: 34776889]
[28]
Erkan SO, Muluk NB, Tuhanioğlu B, et al. Carotico-vertebral Doppler ultrasonography in patients with idiopathic vertigo. Curr Med Imaging Rev 2019; 15(5): 511-6.
[http://dx.doi.org/10.2174/1573405614666180402125219] [PMID: 32008559]
[29]
Tarnoki AD, Fejer B, Tarnoki DL, et al. Vertebral artery diameter and flow: Nature or nurture. J Neuroimaging 2017; 27(5): 499-504.
[http://dx.doi.org/10.1111/jon.12434] [PMID: 28276103]
[30]
Nomoto S, Kinno R, Ochiai H, et al. The relationship between thyroid function and cerebral blood flow in mild cognitive impairment and Alzheimer’s disease. PLoS One 2019; 14(4): e0214676.
[http://dx.doi.org/10.1371/journal.pone.0214676] [PMID: 30943231]
[31]
Fani L, Dueñas OR, Bos D, et al. Thyroid status and brain circulation: The Rotterdam Study. J Clin Endocrinol Metab 2021; 2021: 744.
[PMID: 34634119]

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