Berger Thomas, Noble David J, Yang Zhuolin, Shelley Leila E A, McMullan Thomas, Bates Amy, Thomas Simon, Carruthers Linda J, Beckett George, Duffton Aileen, Paterson Claire, Jena Raj, McLaren Duncan B, Burnet Neil G, Nailon William H
Department of Oncology Physics, Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK.
Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Phys Imaging Radiat Oncol. 2022 Dec 16;25:100404. doi: 10.1016/j.phro.2022.12.001. eCollection 2023 Jan.
While core to the scientific approach, reproducibility of experimental results is challenging in radiomics studies. A recent publication identified radiomics features that are predictive of late irradiation-induced toxicity in head and neck cancer (HNC) patients. In this study, we assessed the generalisability of these findings.
The procedure described in the publication in question was applied to a cohort of 109 HNC patients treated with 50-70 Gy in 20-35 fractions using helical radiotherapy although there were inherent differences between the two patient populations and methodologies. On each slice of the planning CT with delineated parotid and submandibular glands, the imaging features that were previously identified as predictive of moderate-to-severe xerostomia and sticky saliva 12 months post radiotherapy (Xer12m and SS12m) were calculated. Specifically, Short Run Emphasis (SRE) and maximum CT intensity (maxHU) were evaluated for improvement in prediction of Xer12m and SS12m respectively, compared to models solely using baseline toxicity and mean dose to the salivary glands.
None of the associations previously identified as statistically significant and involving radiomics features in univariate or multivariate models could be reproduced on our cohort.
The discrepancies observed between the results of the two studies delineate limits to the generalisability of the previously reported findings. This may be explained by the differences in the approaches, in particular the imaging characteristics and subsequent methodological implementation. This highlights the importance of external validation, high quality reporting guidelines and standardisation protocols to ensure generalisability, replication and ultimately clinical implementation.
虽然可重复性是科学方法的核心,但在放射组学研究中,实验结果的可重复性具有挑战性。最近有一项研究确定了一些放射组学特征,这些特征可预测头颈癌(HNC)患者放疗后的晚期毒性。在本研究中,我们评估了这些发现的普遍性。
尽管两个患者群体和方法学之间存在内在差异,但我们将上述出版物中描述的程序应用于一组109例接受螺旋放疗、剂量为50 - 70 Gy、分20 - 35次照射的HNC患者。在勾画了腮腺和颌下腺的计划CT的每一层上,计算先前确定的可预测放疗后12个月中重度口干和唾液黏稠(Xer12m和SS12m)的影像特征。具体而言,分别评估短期强调(SRE)和最大CT强度(maxHU)对Xer12m和SS12m预测的改善情况,与仅使用基线毒性和唾液腺平均剂量的模型进行比较。
我们的队列中无法重现先前在单变量或多变量模型中确定为具有统计学意义且涉及放射组学特征的任何关联。
两项研究结果之间的差异划定了先前报告结果普遍性的界限。这可能是由于方法上的差异,特别是成像特征和后续的方法学实施。这突出了外部验证、高质量报告指南和标准化方案对于确保普遍性、可重复性以及最终临床应用的重要性。