School of Medicine, University of Auckland, Auckland, New Zealand.
School of Medical Sciences, University of Auckland, Auckland, New Zealand.
Eur Radiol. 2021 May;31(5):3447-3467. doi: 10.1007/s00330-020-07376-6. Epub 2020 Nov 5.
To systematically review published studies on the use of radiomics of the pancreas.
The search was conducted in the MEDLINE database. Human studies that investigated the applications of radiomics in diseases of the pancreas were included. The radiomics quality score was calculated for each included study.
A total of 72 studies encompassing 8863 participants were included. Of them, 66 investigated focal pancreatic lesions (pancreatic cancer, precancerous lesions, or benign lesions); 4, pancreatitis; and 2, diabetes mellitus. The principal applications of radiomics were differential diagnosis between various types of focal pancreatic lesions (n = 19), classification of pancreatic diseases (n = 23), and prediction of prognosis or treatment response (n = 30). Second-order texture features were most useful for the purpose of differential diagnosis of diseases of the pancreas (with 100% of studies investigating them found a statistically significant feature), whereas filtered image features were most useful for the purpose of classification of diseases of the pancreas and prediction of diseases of the pancreas (with 100% of studies investigating them found a statistically significant feature). The median radiomics quality score of the included studies was 28%, with the interquartile range of 22% to 36%. The radiomics quality score was significantly correlated with the number of extracted radiomics features (r = 0.52, p < 0.001) and the study sample size (r = 0.34, p = 0.003).
Radiomics of the pancreas holds promise as a quantitative imaging biomarker of both focal pancreatic lesions and diffuse changes of the pancreas. The usefulness of radiomics features may vary depending on the purpose of their application. Standardisation of image acquisition protocols and image pre-processing is warranted prior to considering the use of radiomics of the pancreas in routine clinical practice.
• Methodologically sound studies on radiomics of the pancreas are characterised by a large sample size and a large number of extracted features. • Optimisation of the radiomics pipeline will increase the clinical utility of mineable pancreas imaging data. • Radiomics of the pancreas is a promising personalised medicine tool in diseases of the pancreas.
系统地综述胰腺放射组学的研究现状。
检索 MEDLINE 数据库，纳入研究胰腺放射组学应用的人类研究。对每个纳入的研究进行放射组学质量评分。
共纳入 72 项研究，共 8863 名参与者。其中 66 项研究涉及胰腺局灶性病变（胰腺癌、癌前病变或良性病变），4 项研究涉及胰腺炎，2 项研究涉及糖尿病。放射组学的主要应用包括：各种胰腺局灶性病变的鉴别诊断（n=19）、胰腺疾病的分类（n=23）以及预测预后或治疗反应（n=30）。二阶纹理特征最有助于胰腺疾病的鉴别诊断（100%的研究发现有统计学意义的特征），而滤波图像特征最有助于胰腺疾病的分类和预测（100%的研究发现有统计学意义的特征）。纳入研究的放射组学质量评分中位数为 28%，四分位距为 22%至 36%。放射组学质量评分与提取的放射组学特征数量（r=0.52，p<0.001）和研究样本量（r=0.34，p=0.003）显著相关。
胰腺放射组学有望成为胰腺局灶性病变和弥漫性改变的定量成像生物标志物。放射组学特征的有用性可能因应用目的而异。在考虑将胰腺放射组学常规应用于临床实践之前，有必要对图像采集协议和图像预处理进行标准化。
胰腺放射组学的研究方法科学，样本量大，提取的特征多。
优化放射组学流程将提高可挖掘胰腺成像数据的临床实用性。
胰腺放射组学是胰腺疾病个体化医学的有前途的工具。
