Brenner Lauren, Robison Tanner H, Johnson Timothy D, Pettit Kristen, Talpaz Moshe, Chenevert Thomas L, Ross Brian D, Luker Gary D
Department of Radiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Tomography. 2025 Jul 28;11(8):82. doi: 10.3390/tomography11080082.
BACKGROUND/OBJECTIVES: Myelofibrosis (MF) is a myeloproliferative neoplasm characterized by the replacement of healthy bone marrow (BM) with malignant and fibrotic tissue. In a healthy state, bone marrow is composed of approximately 60-70% fat cells, which are replaced as disease progresses. Proton density fat fraction (PDFF), a non-invasive and quantitative MRI metric, enables analysis of BM architecture by measuring the percentage of fat versus cells in the environment. Our objective is to investigate variance in quantitative PDFF-MRI values over time as a marker of disease progression and response to treatment.
We analyzed existing data from three cohorts of mice: two groups with MF that failed to respond to therapy with approved drugs for MF (ruxolitinib, fedratinib), investigational compounds (navitoclax, balixafortide), or vehicle and monitored over time by MRI; the third group consisted of healthy controls imaged at a single time point. Using in-house MATLAB programs, we performed a voxel-wise analysis of PDFF values in lower extremity bone marrow, specifically comparing the variance of each voxel within and among mice.
Our findings revealed a significant difference in PDFF values between healthy and diseased BM. With progressive disease non-responsive to therapy, the expansion of hematopoietic cells in BM nearly completely replaced normal fat, as determined by a markedly reduced PDFF and notable reduction in the variance in PDFF values in bone marrow over time.
This study validated our hypothesis that the variance in PDFF in BM decreases with disease progression, indicating pathologic expansion of hematopoietic cells. We can conclude that disease progression can be tracked by a decrease in PDFF values. Analyzing variance in PDFF may improve the assessment of disease progression in pre-clinical models and ultimately patients with MF.
背景/目的:骨髓纤维化(MF)是一种骨髓增殖性肿瘤,其特征是健康骨髓(BM)被恶性和纤维化组织所取代。在健康状态下,骨髓约由60 - 70%的脂肪细胞组成,随着疾病进展这些脂肪细胞会被替代。质子密度脂肪分数(PDFF)是一种非侵入性的定量MRI指标,通过测量环境中脂肪与细胞的百分比来分析骨髓结构。我们的目的是研究定量PDFF - MRI值随时间的变化,作为疾病进展和治疗反应的标志物。
我们分析了来自三组小鼠的现有数据:两组患有MF的小鼠,它们对MF的获批药物(芦可替尼、非格司亭)、研究性化合物(维托克洛司、巴利昔单抗)或载体治疗无反应,并通过MRI随时间监测;第三组由在单个时间点成像的健康对照组成。使用内部MATLAB程序,我们对下肢骨髓中的PDFF值进行了逐体素分析,特别比较了小鼠体内和小鼠之间每个体素的差异。
我们的研究结果显示,健康和患病骨髓的PDFF值存在显著差异。随着对治疗无反应的疾病进展,骨髓中造血细胞的扩张几乎完全取代了正常脂肪,这通过PDFF明显降低以及骨髓中PDFF值随时间的差异显著减小得以确定。
本研究验证了我们的假设,即骨髓中PDFF的差异随疾病进展而减小,表明造血细胞的病理性扩张。我们可以得出结论,疾病进展可以通过PDFF值的降低来追踪。分析PDFF的差异可能会改善临床前模型以及最终MF患者疾病进展的评估。