Evaluation of deep gray matter for early brain development using quantitative susceptibility mapping

Otani, Sayo; Fushimi, Yasutaka; Iwanaga, Koichi; Tomotaki, Seiichi; Shimotsuma, Taiki; Nakajima, Shigeru; Sakata, Akihiko; Okuchi, Sachi; Hinoda, Takuya; Wicaksono, Krishna Pandu; Takita, Junko; Kawai, Masahiko; Nakamoto, Yuji

doi:10.1007/s00330-022-09267-4

Cited by 5 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1). 2,38 QSM likewise demonstrates similar age‐related changes in susceptibility 39–42 . Susceptibility in the motor cortices increases throughout life.…”

Section: Age and Sex‐related Differences In Qsmmentioning

confidence: 67%

See 1 more Smart Citation

Value of Quantitative Susceptibility Mapping in Clinical Neuroradiology

Fushimi,

Nakajima,

Sakata

et al. 2023

Magnetic Resonance Imaging

Self Cite

View full text Add to dashboard Cite

Quantitative susceptibility mapping (QSM) is a unique technique for providing quantitative information on tissue magnetic susceptibility using phase image data. QSM can provide valuable information regarding physiological and pathological processes such as iron deposition, hemorrhage, calcification, and myelin. QSM has been considered for use as an imaging biomarker to investigate physiological status and pathological changes. Although various studies have investigated the clinical applications of QSM, particularly regarding the use of QSM in clinical practice, have not been examined well. This review provides on an overview of the basics of QSM and its clinical applications in neuroradiology.Level of Evidence2Technical EfficacyStage 2

show abstract

“…1). 2,38 QSM likewise demonstrates similar age‐related changes in susceptibility 39–42 . Susceptibility in the motor cortices increases throughout life.…”

Section: Age and Sex‐related Differences In Qsmmentioning

confidence: 67%

“…2,38 QSM likewise demonstrates similar age-related changes in susceptibility. [39][40][41][42] Susceptibility in the motor cortices increases throughout life. While the susceptibility of iron-rich deep gray matter also increases, the time courses differ.…”

Section: Age and Sex-related Differences In Qsmmentioning

confidence: 99%

Value of Quantitative Susceptibility Mapping in Clinical Neuroradiology

Fushimi,

Nakajima,

Sakata

et al. 2023

Magnetic Resonance Imaging

Self Cite

View full text Add to dashboard Cite

show abstract

Challenges and caveats of quantitative susceptibility mapping in infants with neurodevelopmental delay

Forgó

2023

Eur Radiol

View full text Add to dashboard Cite

Comparison study of quantitative susceptibility mapping with GRAPPA and wave-CAIPI: reproducibility, consistency, and microbleeds detection

Sakurama,

Fushimi,

Nakajima

et al. 2024

Jpn J Radiol

View full text Add to dashboard Cite

Purpose We compared quantitative susceptibility mapping (QSM) with wave-CAIPI 9 × (QSM_WC9 ×) with reference standard QSM with GRAPPA 2 × (QSM_G2 ×) in two MR scanners. We also compared detectability of microbleeds in both QSMs to demonstrate clinical feasibility of both QSMs. Materials and methods This prospective study was approved by the institutional review board and written informed consent was obtained from each subject. Healthy subjects were recruited to evaluate intra-scanner reproducibility, inter-scanner consistency, and inter-sequence consistency of QSM_G2 × and QSM_WC9 × at 2 MR scanners. Susceptibility values measured with volume of interests (VOIs) were evaluated. Patients who were requested for susceptibility weighted imaging were also recruited in this study to measure microbleeds on QSM_G2 × and QSM_WC9 × . The number of microbleeds was compared between two QSMs. Results Total 55 healthy subjects (male 34, female 21, 38.3 years [23–79]) were included in this study. We investigated reproducibility and consistency of QSM_WC9 × by comparing reference standard QSM_G2 × in two MR scanners in this study, and high correlation (ρ, 0.93–0.97) and high intraclass correlation coefficient (ICC) (0.97–0.99) were obtained. Sixty patients (male 30, female 30; age, 55.4 years [21–85]) were finally enrolled in this prospective study. The ICC of the detected number of microbleeds between QSM_G2 × and QSM_WC9 × was 0.99 (0.98–0.99). Conclusion QSM_WC9 × and reference standard QSM_G2 × in two MR scanners showed good reproducibility and consistency in estimating magnetic susceptibilities. QSM_WC9 × and QSM_G2 × were also comparable in terms of microbleeds detection with good agreement of raters and high ICC.

show abstract

Evaluation of deep gray matter for early brain development using quantitative susceptibility mapping

Cited by 5 publications

References 31 publications

Value of Quantitative Susceptibility Mapping in Clinical Neuroradiology

Value of Quantitative Susceptibility Mapping in Clinical Neuroradiology

Challenges and caveats of quantitative susceptibility mapping in infants with neurodevelopmental delay

Comparison study of quantitative susceptibility mapping with GRAPPA and wave-CAIPI: reproducibility, consistency, and microbleeds detection

Contact Info

Product

Resources

About