Nuclear Medicine, Diagnostic Imaging Department, Humanitas Clinical and Research Center - IRCCS, via Manzoni, 56 - 20089, Rozzano (Milán), Italia; Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini, 4 - 20090, Pieve Emanuele (Milán), Italia.
Training Program in Nuclear Medicine, Humanitas University, via Rita Levi Montalcini, 4 - 20090, Pieve Emanuele (Milán), Italia.
Rev Esp Med Nucl Imagen Mol (Engl Ed). 2020 May-Jun;39(3):146-156. doi: 10.1016/j.remn.2019.10.003. Epub 2020 Apr 8.
Recently, evidence has accumulated that demonstrates the potential for future applications of radiomics in many clinical settings, including thoracic oncology. Methodological reasons for the immaturity of image mining (radiomics and artificial intelligence-based) studies have been identified. However, data on the influence of the composition of the research team on the quality of investigations in radiomics are lacking.
This review aims to evaluate the interdisciplinarity within studies on radiomics in thoracic oncology in order to assess its influence on the quality of research (QUADAS-2 score) in the image mining field.
We considered for inclusion radiomics investigations with objectives relating to clinical practice in thoracic oncology. Subsequently, we interviewed the corresponding authors. The field of expertise and/or educational degree was then used to assess interdisciplinarity. Subsequently, all studies were evaluated applying the QUADAS-2 score and assigned to a research phase from 0 to IV.
Overall, 27 studies were included. The study quality according to the QUADAS-2 score was low (score ≤5) in 8, moderate (=6) in 12, and high (≥7) in 7 papers. An interdisciplinary team (at least 3 different expertise categories) was involved in half of the papers without any type of validation and in all papers with independent validation. Clinicians were not involved in phase 0 studies while they contributed to all papers classified as phase I and to 4/5 papers classified as phase II with independent validation.
The composition of the research team influences the quality of investigations in radiomics. Also, growth in interdisciplinarity appears to reflect research development from the early phase to a more mature, clinically oriented stage of investigation.
最近有证据表明，放射组学在许多临床环境中具有潜在的未来应用，包括胸部肿瘤学。已经确定了图像挖掘（放射组学和基于人工智能）研究不成熟的方法学原因。然而，关于研究团队构成对放射组学研究质量的影响的数据尚缺乏。
本综述旨在评估胸部肿瘤学中放射组学研究的跨学科性，以评估其对图像挖掘领域研究质量（QUADAS-2 评分）的影响。
我们考虑纳入与胸部肿瘤学临床实践相关目标的放射组学研究。随后，我们采访了相应的作者。然后，使用专业领域和/或教育程度来评估跨学科性。随后，根据 QUADAS-2 评分评估所有研究，并将其分配到 0 至 4 期的研究阶段。
共有 27 项研究被纳入。根据 QUADAS-2 评分，研究质量低（评分≤5）的有 8 项，中（=6）的有 12 项，高（≥7）的有 7 项。有一半的论文涉及跨学科团队（至少有 3 种不同的专业类别），但没有任何类型的验证，所有具有独立验证的论文都是如此。临床医生没有参与 0 期研究，而他们参与了所有被归类为 I 期的论文，以及 4/5 篇具有独立验证的被归类为 II 期的论文。
研究团队的构成影响放射组学研究的质量。此外，跨学科性的增长似乎反映了研究从早期阶段到更成熟、更面向临床的研究阶段的发展。
