Wennmann Markus, Kintzelé Laurent, Piraud Marie, Menze Bjoern H, Hielscher Thomas, Hofmanninger Johannes, Wagner Barbara, Kauczor Hans-Ulrich, Merz Maximilian, Hillengass Jens, Langs Georg, Weber Marc-André
Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Department of Computer Science, Technical University of Munich, Munich, Germany.
Oncotarget. 2018 May 18;9(38):25254-25264. doi: 10.18632/oncotarget.25402.
The purpose of this study was to improve risk stratification of smoldering multiple myeloma patients, introducing new 3D-volumetry based imaging biomarkers derived from whole-body MRI. Two-hundred twenty whole-body MRIs from 63 patients with smoldering multiple myeloma were retrospectively analyzed and all focal lesions >5mm were manually segmented for volume quantification. The imaging biomarkers total tumor volume, speed of growth (development of the total tumor volume over time), number of focal lesions, development of the number of focal lesions over time and the recent imaging biomarker '>1 focal lesion' of the International Myeloma Working Group were compared, taking 2-year progression rate, sensitivity and false positive rate into account. Speed of growth, using a cutoff of 114mm/month, was able to isolate a high-risk group with a 2-year progression rate of 82.5%. Additionally, it showed by far the highest sensitivity in this study and in comparison to other biomarkers in the literature, detecting 63.2% of patients who progress within 2 years. Furthermore, its false positive rate (8.7%) was much lower compared to the recent imaging biomarker '>1 focal lesion' of the International Myeloma Working Group. Therefore, speed of growth is the preferable imaging biomarker for risk stratification of smoldering multiple myeloma patients.
本研究的目的是通过引入源自全身MRI的基于三维容积测量的新成像生物标志物,改善冒烟型多发性骨髓瘤患者的风险分层。对63例冒烟型多发性骨髓瘤患者的220次全身MRI进行回顾性分析,对所有直径>5mm的局灶性病变进行手动分割以进行体积量化。比较了成像生物标志物总肿瘤体积、生长速度(总肿瘤体积随时间的变化)、局灶性病变数量、局灶性病变数量随时间的变化以及国际骨髓瘤工作组最近的成像生物标志物“>1个局灶性病变”,同时考虑了2年进展率、敏感性和假阳性率。生长速度以每月114mm为临界值,能够分离出一个2年进展率为82.5%的高危组。此外,在本研究中,与文献中的其他生物标志物相比,它的敏感性是最高的,能检测出63.2%在2年内进展的患者。此外,与国际骨髓瘤工作组最近的成像生物标志物“>1个局灶性病变”相比,其假阳性率(8.7%)要低得多。因此,生长速度是冒烟型多发性骨髓瘤患者风险分层的首选成像生物标志物。