Department of Nuclear Medicine, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, People's Republic of China.
Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Eur Radiol. 2020 Nov;30(11):6228-6240. doi: 10.1007/s00330-020-06927-1. Epub 2020 May 29.
To perform a systematic review regarding the developments in the field of radiomics in lymphoma. To evaluate the quality of included articles by the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2), the phases classification criteria for image mining studies, and the radiomics quality scoring (RQS) tool.
We searched for eligible articles in the MEDLINE/PubMed and EMBASE databases using the terms "radiomics", "texture" and "lymphoma". The included studies were divided into two categories: diagnosis-, therapy response- and outcome-related studies. The diagnosis-related studies were evaluated using the QUADAS-2; all studies were evaluated using the phases classification criteria for image mining studies and the RQS tool by two reviewers.
Forty-five studies were included; thirteen papers (28.9%) focused on the differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM). Thirty-two (71.1%) studies were classified as discovery science according to the phase classification criteria for image mining studies. The mean RQS score of all studies was 14.2% (ranging from 0.0 to 40.3%), and 23 studies (51.1%) were given a score of < 10%.
The radiomics features could serve as diagnostic and prognostic indicators in lymphoma. However, the current conclusions should be interpreted with caution due to the suboptimal quality of the studies. In order to introduce radiomics into lymphoma clinical settings, the lesion segmentation and selection, the influence of the pathological pattern and the extraction of multiple modalities and multiple time points features need to be further studied.
• The radiomics approach may provide useful information for diagnosis, prediction of the therapy response, and outcome of lymphoma. • The quality of published radiomics studies in lymphoma has been suboptimal to date. • More studies are needed to examine lesion selection and segmentation, the influence of pathological patterns, and the extraction of multiple modalities and multiple time point features.
对淋巴瘤领域放射组学的发展进行系统评价。使用诊断准确性研究的质量评估 2 （QUADAS-2）、图像挖掘研究的阶段分类标准以及放射组学质量评分（RQS）工具评估纳入文章的质量。
我们使用“放射组学”、“纹理”和“淋巴瘤”等术语在 MEDLINE/PubMed 和 EMBASE 数据库中搜索符合条件的文章。将纳入的研究分为两类：诊断、治疗反应和预后相关的研究。使用 QUADAS-2 评估与诊断相关的研究；两位评审员使用图像挖掘研究的阶段分类标准和 RQS 工具评估所有研究。
共纳入 45 项研究，其中 13 篇（28.9%）论文聚焦于原发性中枢神经系统淋巴瘤（PCNSL）和胶质母细胞瘤（GBM）的鉴别诊断。根据图像挖掘研究的阶段分类标准，32 项（71.1%）研究被归类为发现科学。所有研究的平均 RQS 评分均为 14.2%（范围为 0.0-40.3%），其中 23 项（51.1%）的评分<10%。
放射组学特征可作为淋巴瘤的诊断和预后指标。然而，由于研究质量不理想，目前的结论应谨慎解释。为了将放射组学引入淋巴瘤的临床实践，需要进一步研究病变的分割和选择、病理模式的影响以及多种模态和多个时间点特征的提取。
放射组学方法可为淋巴瘤的诊断、治疗反应预测和预后提供有用信息。
迄今为止，发表的淋巴瘤放射组学研究的质量一直不尽如人意。
需要更多的研究来检查病变的选择和分割、病理模式的影响以及多种模态和多个时间点特征的提取。
