Brain Tumor Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Pediatric Neuro-Oncology Program, Nationwide Children's Hospital, Columbus, Ohio, USA.
Neuro Oncol. 2022 Sep 1;24(9):1598-1608. doi: 10.1093/neuonc/noac037.
Cross-sectional tumor measures are traditional clinical trial endpoints; however volumetric measures may better assess tumor growth. We determined the correlation and compared the prognostic impact of cross-sectional and volumetric measures of progressive disease (PD) among patients with DIPG.
Imaging and clinical data were abstracted from the International DIPG Registry. Tumor volume and cross-sectional product (CP) were measured with mint Lesion™ software using manual contouring. Correlation between CP and volume (segmented and mathematical [ellipsoid] model) thresholds of PD were assessed by linear regression. Landmark analyses determined differences in survival (via log-rank) between patients classified as PD versus non-PD by CP and volumetric measurements at 1, 3, 5, 7, and 9 months postradiotherapy (RT). Hazard ratios (HR) for survival after these time points were calculated by Cox regression.
A total of 312 MRIs (46 patients) were analyzed. Comparing change from the previous smallest measure, CP increase of 25% (PD) correlated with a segmented volume increase of 30% (R2 = 0.710), rather than 40% (spherical model extrapolation). CP-determined PD predicted survival at 1 month post-RT (HR = 2.77), but not other time points. Segmented volumetric-determined PD (40% threshold) predicted survival at all imaging timepoints (HRs = 2.57, 2.62, 3.35, 2.71, 16.29), and 30% volumetric PD threshold predicted survival at 1, 3, 5, and 9 month timepoints (HRs = 2.57, 2.62, 4.65, 5.54). Compared to ellipsoid volume, segmented volume demonstrated superior survival associations.
Segmented volumetric assessments of PD correlated better with survival than CP or ellipsoid volume at most time points. Semiautomated tumor volume likely represents a more accurate, prognostically-relevant measure of disease burden in DIPG.
横截面肿瘤测量是传统的临床试验终点;然而,体积测量可能更能评估肿瘤生长情况。我们确定了 DIPG 患者中进展性疾病(PD)的横截面和体积测量之间的相关性,并比较了它们的预后影响。
从国际 DIPG 登记处提取了影像学和临床数据。使用 mint Lesion™软件通过手动轮廓测量肿瘤体积和横截面乘积(CP)。通过线性回归评估 PD 的 CP 和体积(分段和数学[椭球]模型)阈值之间的相关性。通过对数秩检验确定了在放射治疗(RT)后 1、3、5、7 和 9 个月时,通过 CP 和体积测量将患者分类为 PD 与非 PD 之间的生存差异(通过对数秩检验)。通过 Cox 回归计算了这些时间点后生存的风险比(HR)。
共分析了 312 份 MRI(46 例)。与前一次最小测量相比,CP 增加 25%(PD)与分段体积增加 30%(R2=0.710)相关,而不是 40%(球模型外推)。CP 确定的 PD 在 RT 后 1 个月时预测了生存(HR=2.77),但其他时间点则不然。分段体积确定的 PD(40%阈值)在所有影像学时间点均预测了生存(HRs=2.57、2.62、3.35、2.71、16.29),而 30%体积 PD 阈值预测了 1、3、5 和 9 个月时间点的生存(HRs=2.57、2.62、4.65、5.54)。与椭球体积相比,分段体积与生存的相关性更好。
在大多数时间点,分段体积对 PD 的评估与 CP 或椭球体积相比,与生存的相关性更好。半自动肿瘤体积可能代表了 DIPG 中疾病负担更准确、更具预后相关性的测量指标。