评估黑色素瘤泵浦-探测成像对比度对转移结果的预测能力：一项71例患者研究
Evaluating the predictive power of pump-probe imaging contrast of melanin for metastatic outcome: A 71-patient study
- Duke University（杜克大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究利用泵浦-探测显微镜测量71例黑色素瘤患者的黑色素激发态动力学，发现其可区分原发与转移组织，但无法稳健预测转移结果。
AI中文摘要：
意义：大多数黑色素瘤死亡源于转移扩散，然而目前的分期方法无法完美识别哪些原发性肿瘤会进展。黑色素瘤结构在恶性转化过程中发生改变，泵浦-探测显微镜（PPM）可测量标准活检切片中黑色素瘤的激发态动力学，提供与基于形态学评估互补的分子对比度。目的：确定原发性皮肤黑色素瘤中PPM衍生的黑色素瘤激发态动力学能否预测转移结果。方法：我们对71例原发性皮肤黑色素瘤和18例黑色素瘤转移灶的无染色切片进行成像。将瞬态吸收曲线拟合到双指数激发态模型，并将拟合参数用作学习分类器预测转移结果的特征。结果：黑色素瘤动力学区分了原发组织与转移组织：原发灶中两个激发态寿命均较短，共同语言效应量高达0.26。相同参数未能按结果区分原发肿瘤（效应量0.41-0.61），单变量逻辑回归发现激发态寿命或ESA/GSB比值均无显著关联。最佳分类器达到74%的患者水平准确率（AUC 0.73），这是多个不相关架构达到的平台期。结论：PPM能稳健地区分原发黑色素瘤与转移黑色素瘤组织，与黑色素瘤逐渐解聚一致。虽然泵浦-探测特征因此与组织差异相关，但原发肿瘤单一切片中的黑色素瘤动力学受异质性干扰，无法对转移结果提供稳健预测。
英文摘要：
Significance: Most melanoma deaths arise from metastatic spread, yet current staging imperfectly identifies which primary tumors will progress. Melanin structure is altered during malignant transformation, and pump-probe microscopy (PPM) measures melanin excited-state dynamics in standard biopsy sections, offering molecular contrast that is complementary to morphology-based assessment. Aim: To determine whether PPM-derived melanin excited-state dynamics in primary cutaneous melanoma can predict metastatic outcome. Approach: We imaged unstained sections from 71 primary cutaneous melanomas and 18 melanoma metastases. Transient absorption curves were fit to a biexponential excited-state model, and the fit parameters were used as features for learning classifiers to predict metastatic outcome. Results: Melanin dynamics separated primary from metastatic tissue: both excited-state lifetimes were shorter in primaries, with common-language effect sizes up to 0.26. The same parameters did not separate primary tumors by outcome (effect sizes 0.41-0.61), and univariate logistic regression found no significant association for either the excited-state lifetimes or the ESA/GSB ratio. The best classifier reached 74% patient-level accuracy (AUC 0.73), a plateau reached by several unrelated architectures. Conclusions: PPM robustly distinguishes primary from metastatic melanoma tissue, consistent with progressive melanin disaggregation. While it is clear that pump-probe features of melanin thus correlate with tissue differences, melanin dynamics in single sections of the primary tumor, confounded by heterogeneity, do not give robust predictions of metastatic outcome.
