T2WI female pelvic MRI using the MultiVane XD technique at 3.0 T in uterine adenomyosis and fibroids: a preliminary study / 中华放射学杂志
Chinese Journal of Radiology
; (12): 62-65, 2020.
Article
in Zh
| WPRIM
| ID: wpr-798794
Responsible library:
WPRO
ABSTRACT
Objective@#To explore the application value of 3.0 T MultiVane XD (MVXD) technique in female patients with uterine adenomyosis and fibroids.@*Methods@#Patients diagnosed with uterine fibroids with ultrasound and suspected of adenomyosis were involved prospectively from March to May 2018, 3.0 T pelvic MRI examinations were performed during peri-ovulatory period. Axialconventional turbo spin echo (TSE) T2WI, axial MVXD T2WI, sagittal conventional TSE T2WI and MVXD sagittal T2WI were acquired. Two observers rated those 4 series in the aspects of sharpness of uterine border, motion artifacts, identification capability of lesions, confidence of diagnosis and overall image quality. Cohen Kappa analysis was used to evaluate the consistency of scores between 2 observers. Scores of TSE T2WI and MVXD T2WI qualities were compared using Wilcoxon matched-pairs signed-ranks test.@*Results@#Twenty patients were enrolled. Axial conventional TSE T2WI, axial MVXD T2WI were aquired on all of them. Sagittal conventional TSE T2WI, sagittal MVXD T2WI were aquired on 19 among them. Nine patients had only obvious adenomyosis, 6 had only uterinefibroids, and 5 had adenomyosis and uterine fibroids. Compared to conventional TSE technique, scores of two observers in the sharpness of uterine border, motion artifacts, and overall image quality is higher by MVXD with significant difference (P<0.05). The Kappa values for image quality scores of two observers ranged from 0.615 to 0.971, the agreement was good or very good.@*Conclusion@#Applying MVXD T2WI technique to patients with uterine fibroids and adenomyosiscould improve image quality, without sacrificing the ability to recognize and diagnose lesions, compared to conventional TSE T2WI technique.
Full text:
1
Database:
WPRIM
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Chinese Journal of Radiology
Year:
2020
Document type:
Article