Comparing Magnetic Resonance Fingerprinting (MRF) and the MAGiC Sequence for Simultaneous T1 and T2 Quantitative Measurements in the Female Pelvis: A Prospective Study

Bo Syuan Huang, Ching Yi Hsieh, Wen Yen Chai, Yenpo Lin, Yen Ling Huang, Kuan Ying Lu, Hsin Ju Chiang, Rolf F. Schulte, Chien Yuan Eddy Lin, Gigin Lin*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

Abstract

The aim of this study was to explore the potential of magnetic resonance fingerprinting (MRF), an emerging quantitative MRI technique, in measuring relaxation values of female pelvic tissues compared to the conventional magnetic resonance image compilation (MAGiC) sequence. The study included 32 female patients who underwent routine pelvic MRI exams using anterior and posterior array coils on a 3T clinical scanner. Our findings demonstrated significant correlations between MRF and MAGiC measured T1 and T2 values (p < 0.0001) for various pelvic tissues, including ilium, femoral head, gluteus, obturator, iliopsoas, erector spinae, uterus, cervix, and cutaneous fat. The tissue contrasts generated from conventional MRI and synthetic MRF also showed agreement in bone, muscle, and uterus for both T1-weighted and T2-weighted images. This study highlights the strengths of MRF in providing simultaneous T1 and T2 mapping. MRF offers distinct tissue contrast and has the potential for accurate diagnosis of female pelvic diseases, including tumors, fibroids, endometriosis, and pelvic inflammatory disease. Additionally, MRF shows promise in monitoring disease progression or treatment response. Overall, the study demonstrates the potential of MRF in the field of female pelvic organ imaging and suggests that it could be a valuable addition to the clinical practice of pelvic MRI exams. Further research is needed to establish the clinical utility of MRF and to develop standardized protocols for its implementation in clinical practice.

Original languageEnglish
Article number2147
JournalDiagnostics
Volume13
Issue number13
DOIs
StatePublished - 23 06 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • computer-assisted image processing
  • fingerprinting
  • gynecology
  • magnetic resonance imaging

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