Konar Amaresha Shridhar, Paudyal Ramesh, Shah Akash Deelip, Fung Maggie, Banerjee Suchandrima, Dave Abhay, Lee Nancy, Hatzoglou Vaios, Shukla-Dave Amita
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Cancers (Basel). 2022 Jul 26;14(15):3624. doi: 10.3390/cancers14153624.
The present exploratory study investigates the performance of a new, rapid, synthetic MRI method for diagnostic image quality assessment and measurement of relaxometry metric values in head and neck (HN) tumors and normal-appearing masseter muscle. The multi-dynamic multi-echo (MDME) sequence was used for data acquisition, followed by synthetic image reconstruction on a 3T MRI scanner for 14 patients (3 untreated and 11 treated). The MDME enables absolute quantification of physical tissue properties, including T1 and T2, with a shorter scan time than the current state-of-the-art methods used for relaxation measurements. The vendor termed the combined package MAGnetic resonance imaging Compilation (MAGiC). In total, 48 regions of interest (ROIs) were analyzed, drawn on normal-appearing masseter muscle and tumors in the HN region. Mean T1 and T2 values obtained from normal-appearing muscle were 880 ± 52 ms and 46 ± 3 ms, respectively. Mean T1 and T2 values obtained from tumors were 1930 ± 422 ms and 77 ± 13 ms, respectively, for the untreated group, 1745 ± 410 ms and 107 ± 61 ms, for the treated group. A total of 1552 images from both synthetic MRI and conventional clinical imaging were assessed by the radiologists to provide the rating for T1w and T2w image contrasts. The synthetically generated qualitative T2w images were acceptable and comparable to conventional diagnostic images (93% acceptability rating for both). The acceptability ratings for MAGiC-generated T1w, and conventional images were 64% and 100%, respectively. The benefit of MAGiC in HN imaging is twofold, providing relaxometry maps in a clinically feasible time and the ability to generate a different combination of contrast images in a single acquisition.
本探索性研究调查了一种新型快速合成磁共振成像(MRI)方法在头颈部(HN)肿瘤及外观正常的咬肌中用于诊断图像质量评估和弛豫测量指标值测量的性能。采用多动态多回波(MDME)序列进行数据采集,随后在一台3T MRI扫描仪上对14例患者(3例未治疗和11例已治疗)进行合成图像重建。MDME能够对包括T1和T2在内的物理组织特性进行绝对定量,且扫描时间比目前用于弛豫测量的最先进方法更短。供应商将该组合软件包称为磁共振成像汇编(MAGiC)。总共分析了48个感兴趣区域(ROI),这些区域取自HN区域外观正常的咬肌和肿瘤。从外观正常的肌肉中获得的平均T1和T2值分别为880±52毫秒和46±3毫秒。未治疗组肿瘤的平均T1和T2值分别为1930±422毫秒和77±13毫秒,治疗组分别为1745±410毫秒和107±61毫秒。放射科医生对来自合成MRI和传统临床成像的总共1552张图像进行了评估,以给出T1加权(T1w)和T2加权(T2w)图像对比度的评级。合成生成的定性T2w图像是可接受的,并且与传统诊断图像相当(两者的可接受性评级均为93%)。MAGiC生成的T1w图像和传统图像的可接受性评级分别为64%和100%。MAGiC在HN成像中的优势有两方面,即在临床可行的时间内提供弛豫测量图,以及在一次采集中生成不同对比度图像组合的能力。