Quantitative MRI Analysis of Craniofacial Bone Marrow in Patients with Sickle Cell Disease

Elias, Elliott; Liao, Jinhui; Jara, Hernán; Watanabe, Moe; Nadgir, Rohini N.; Sakai, Yasuhiro; Erbay, Kaan D.; Saito, Naoko; Ozonoff, Al; Steinberg, Martin H.; Sakai, Osamu

doi:10.3174/ajnr.a3240

Cited by 22 publications

(18 citation statements)

References 22 publications

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“…Hematopoietic marrow hyperplasia causes marrow signal alterations on MR imaging, including T1 lengthening, T2 shortening, and reduced diffusion. [2][3][4] Elevated cardiac output, increased arterial blood flow, and vasodilation contribute to cerebral hyperperfusion. 5 However, end organs remain vulnerable to ischemic injury because these compensatory adjustments are often insufficient.…”

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confidence: 99%

Cerebral Blood Flow and Marrow Diffusion Alterations in Children with Sickle Cell Anemia after Bone Marrow Transplantation and Transfusion

Whitehead

Smitthimedhin²,

Webb

et al. 2018

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE: Hematopoietic marrow hyperplasia and hyperperfusion are compensatory mechanisms in sickle cell anemia. We have observed marrow diffusion and arterial spin-labeling perfusion changes in sickle cell anemia following bone marrow transplantation. We aimed to compare arterial spin-labeling perfusion and marrow diffusion/ADC values in patients with sickle cell anemia before and after bone marrow transplantation or transfusion. MATERIALS AND METHODS: We reviewed brain MRIs from patients with sickle cell anemia obtained during 6 consecutive years at a children's hospital. Quantitative marrow diffusion values were procured from the occipital and sphenoid bones. Pseudocontinuous arterial spin-labeling perfusion values (milliliters/100 g of tissue/min) of MCA, anterior cerebral artery, and posterior cerebral artery territories were determined. Territorial CBF, whole-brain average CBF, and marrow ADC values were compared for changes before and after either bone marrow transplantation or transfusion. Bone marrow transplantation and transfusion groups were compared. Two-tailed paired and unpaired Student t tests were used; P Ͻ .05 was considered significant. RESULTS: Fifty-three examinations from 17 patients with bone marrow transplantation and 29 examinations from 9 patients with transfusion were included. ADC values significantly increased in the sphenoid and occipital marrow following bone marrow transplantation in contrast to patients with transfusion (P Ͼ .83). Whole-brain mean CBF significantly decreased following bone marrow transplantation (77.39 Ϯ 13.78 to 60.39 Ϯ 13.62 ml/100 g tissue/min; P Ͻ .001), without significant change thereafter. CBF did not significantly change following the first (81.11 Ϯ 12.23 to 80.25 Ϯ 8.27 ml/100 g tissue/min; P ϭ .47) or subsequent transfusions. There was no significant difference in mean CBF between groups before intervention (P ϭ .22). CONCLUSIONS: Improved CBF and marrow diffusion eventuate following bone marrow transplantation in children with sickle cell anemia in contrast to transfusion therapy. ABBREVIATIONS: ACA ϭ anterior cerebral artery; ASLϭ arterial spin-labeling; BMT ϭ bone marrow transplantation; PCA ϭ posterior cerebral artery; SCA ϭ sickle cell anemia; T1 ϭ relaxation time

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confidence: 99%

Cerebral Blood Flow and Marrow Diffusion Alterations in Children with Sickle Cell Anemia after Bone Marrow Transplantation and Transfusion

Whitehead

Smitthimedhin²,

Webb

et al. 2018

AJNR Am J Neuroradiol

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“…29,30 Using those characteristics, the relaxometry has been used to assess changes in tissue properties within the brain and a variety of other tissues caused by disease and normal ageing processes. [28][29][30][31][32][33][34][35] It is assumed that T1 and T2 relaxation values can help understand the changes in tissue properties in facial ageing.…”

Section: Introductionmentioning

confidence: 99%

MR relaxometry for the facial ageing assessment: the preliminary study of the age dependency in the MR relaxometry parameters within the facial soft tissue

Watanabe

Buch

Fujita

et al. 2015

Dentomaxillofacial Radiology

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Objectives: To investigate the location-specific tissue properties and age-related changes of the facial fat and facial muscles using quantitative MRI (qMRI) analysis of longitudinal magnetization (T1) and transverse magnetization (T2) values. Methods: 38 subjects (20 males and 18 females, 0.5-87 years old) were imaged with a mixed turbo-spin echo sequence at 1.5 T. T1 and T2 measurements were obtained within regions of interest in six facial fat regions including the buccal fat and subcutaneous cheek fat, four eyelid fat regions (lateral upper, medial upper, lateral lower and medial lower) and five facial muscles including the orbicularis oculi, orbicularis oris, buccinator, zygomaticus major and masseter muscles bilaterally. Results: Within the zygomaticus major muscle, age-associated T1 decreases in females and T1 increases in males were observed in later life with an increase in T2 values with age. The orbicularis oculi muscles showed lower T1 and higher T2 values compared to the masseter, orbicularis oris and buccinator muscles, which demonstrated small age-related changes. The dramatic age-related changes were also observed in the eyelid fat regions, particularly within the lower eyelid fat; negative correlations with age in T1 values (p , 0.0001 for age) and prominent positive correlation in T2 values in male subjects (p , 0.0001 for male 3 age). Age-related changes were not observed in T2 values within the subcutaneous cheek fat. Conclusions: This study demonstrates proof of concept using T1 and T2 values to assess agerelated changes of the facial soft tissues, demonstrating tissue-specific qMRI measurements and non-uniform ageing patterns within different regions of facial soft tissues. Dentomaxillofacial Radiology (2015) 44, 20150047. doi: 10.1259/dmfr.20150047 Cite this article as: Watanabe M, Buch K, Fujita A, Christiansen CL, Jara H, Sakai O. MR relaxometry for the facial ageing assessment: the preliminary study of the age dependency in the MR relaxometry parameters within the facial soft tissue. Dentomaxillofac Radiol 2015; 44: 20150047.Keywords: ageing; facial muscles; adipose tissue; magnetic resonance imaging; quantitative evaluation IntroductionThe face is a complex, multifunctional structure responsible for conveying various emotional expressions. The investigations into the mechanisms of facial ageing have revealed a multifactorial process involving a combination of structures with functional and structural changes including loss of elasticity, facial fat atrophy, weakened muscular support and bony Correspondence to: Dr Memi Watanabe. E-mail: memi.watanabe@bmc.org Cindy L Christiansen received funds from Department of Radiology, Boston University School of Medicine, for statistical support. Hernán Jara is named inventor in several patents held by Boston University and Boston Medical Center pertaining to quantitative MRI and Synthetic MRI algorithms and these could be licensed to a major MRI manufacturer (negotiations are taking place with GE Healthcare). Hernán Jara also has received royal...

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“…Elevated erythropoietin levels induce red marrow hyperplasia. 27,28 Expansion of the diploic space with trabecular thinning and osteoporosis may be seen throughout the calvarium and skull base on CT scan. A significant decrease in T1-weighted signal of the marrow cavity is typical on MRI 29 (Fig.…”

Section: Bonementioning

confidence: 96%

Neurologic and Head and Neck Manifestations of Sickle Cell Disease

Steven

Raghavan

Rath

et al. 2016

Hematology/Oncology Clinics of North America

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Quantitative MRI Analysis of Craniofacial Bone Marrow in Patients with Sickle Cell Disease

Cited by 22 publications

References 22 publications

Cerebral Blood Flow and Marrow Diffusion Alterations in Children with Sickle Cell Anemia after Bone Marrow Transplantation and Transfusion

Cerebral Blood Flow and Marrow Diffusion Alterations in Children with Sickle Cell Anemia after Bone Marrow Transplantation and Transfusion

MR relaxometry for the facial ageing assessment: the preliminary study of the age dependency in the MR relaxometry parameters within the facial soft tissue

Neurologic and Head and Neck Manifestations of Sickle Cell Disease

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