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Estimation of tumour volume at therapy initiation by back-extrapolating the post-therapy regression curve of tumour volume

机译:肿瘤产量后治疗后回归曲线估计治疗肿瘤体积的肿瘤体积

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Tumour volume at therapy initiation, Vi, is rarely available in cancer patients, and the last pre-treatment tumour volume available is from previous diagnostic imaging (Vd). Therapeutic efficacy is thus evaluated by comparing tumour volume after treatment with Vd, instead of Vi, which results in underestimation of treatment efficacy. Vi, together with Vd, can also be used for estimation of the natural growth rate of tumour valuable for, e.g., screening programs, prognostication and individualised treatment planning such as chemotherapy scheduling. The aim of this work was to study the feasibility of estimating Vi by back-extrapolating the post-therapy regression of tumour volume, based on data from animal model. Nude mice bearing human neuroendocrine GOT1 tumour cell line were treated with 177Lu-DOTA-TATE. Tumour volumes were measured regularly after therapy and Vi was estimated by back-extrapolation of (a) linear and (b) exponential regression lines of the two earliest post-therapy tumour volumes and (c) the long-term exponential regression of tumour volume. The estimated Vi values (Vest) were compared with the measured volume of tumour at therapy initiation. The linear regression of the two earliest post-therapy tumour volumes gave the best estimate for Vi (Vest?=?0.91 Vi, p??0.00001), compared with the exponential regression models either on short-term (Vest?=?2.30 Vi, p??0.01), or long-term (Vest?=?0.93 Vi, non-significant) follow up of tumour volume after therapy. Back-extrapolation of the early linear regression of tumour volume after therapy gave the best estimate for tumour volume at time of therapy initiation. This estimate can be used as baseline for treatment efficacy evaluation or for estimation of the natural growth rate of tumour (together with the measured tumour volume at pre-treatment diagnostic imaging).
机译:肿瘤体积在治疗开始,VI,很少可在癌症患者中获得,并且可获得的最后一次预处理肿瘤体积来自先前的诊断成像(VD)。因此通过将肿瘤体积与VD处理后的肿瘤体积而不是VI进行比较来评估治疗效果,这导致低估治疗效果。 VI与VD一起也可用于估计肿瘤的天然生长速率,例如筛选方案,预后和个性化治疗计划,如化疗调度。这项工作的目的是研究通过从动物模型的数据后推开肿瘤体积后疗法回归估算VI的可行性。患有人神经内分泌GOT1肿瘤细胞系的裸鼠用177Lu-dota-tate处理。在治疗后定期测量肿瘤体积,并通过对肿瘤后治疗肿瘤体积的两个最早的(a)线性和(b)指数回归线的后推,估计Vi估计(c)肿瘤体积的长期指数回归。将估计的VI值(背心)与测量的肿瘤在治疗开始时进行比较。与短期内的指数回归模型相比,这两个最早治疗后肿瘤肿瘤体积的线性回归最佳估计VI,P?<?0.01),或长期(背心?= 0.93 VI,非显着)治疗后肿瘤体积跟进。在治疗后的肿瘤体积早期线性回归的后推,在治疗开始时对肿瘤体积的最佳估计。该估计可用作治疗疗效评估的基线或估计肿瘤的天然生长速率(以及在预处理诊断成像的测量肿瘤体积)。

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