正电子发射断层扫描（PET）纹理分析与放射组学在癌症中的系统评价

A Systematic Review of PET Textural Analysis and Radiomics in Cancer.

作者信息

Piñeiro-Fiel Manuel, Moscoso Alexis, Pubul Virginia, Ruibal Álvaro, Silva-Rodríguez Jesús, Aguiar Pablo

机构信息

Molecular Imaging and Medical Physics Group, Radiology Department, Faculty of Medicine, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Spain.

Molecular Imaging Research Group, Nuclear Medicine Department, University Hospital and Health Research Institute of Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain.

出版信息

Diagnostics (Basel). 2021 Feb 23;11(2):380. doi: 10.3390/diagnostics11020380.

DOI:10.3390/diagnostics11020380

PMID:33672285

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7926413/

Abstract

BACKGROUND

Although many works have supported the utility of PET radiomics, several authors have raised concerns over the robustness and replicability of the results. This study aimed to perform a systematic review on the topic of PET radiomics and the used methodologies.

METHODS

PubMed was searched up to 15 October 2020. Original research articles based on human data specifying at least one tumor type and PET image were included, excluding those that apply only first-order statistics and those including fewer than 20 patients. Each publication, cancer type, objective and several methodological parameters (number of patients and features, validation approach, among other things) were extracted.

RESULTS

A total of 290 studies were included. Lung (28%) and head and neck (24%) were the most studied cancers. The most common objective was prognosis/treatment response (46%), followed by diagnosis/staging (21%), tumor characterization (18%) and technical evaluations (15%). The average number of patients included was 114 (median = 71; range 20-1419), and the average number of high-order features calculated per study was 31 (median = 26, range 1-286).

CONCLUSIONS

PET radiomics is a promising field, but the number of patients in most publications is insufficient, and very few papers perform in-depth validations. The role of standardization initiatives will be crucial in the upcoming years.

摘要

背景

尽管许多研究支持PET放射组学的实用性，但一些作者对结果的稳健性和可重复性表示担忧。本研究旨在对PET放射组学主题及其使用的方法进行系统评价。

方法

检索截至2020年10月15日的PubMed。纳入基于人类数据、指定至少一种肿瘤类型和PET图像的原始研究文章，排除仅应用一阶统计的文章以及患者少于20例的文章。提取每篇出版物、癌症类型、目的以及几个方法学参数（患者数量和特征、验证方法等）。

结果

共纳入290项研究。肺癌（28%）和头颈癌（24%）是研究最多的癌症。最常见的目的是预后/治疗反应（46%），其次是诊断/分期（21%）、肿瘤特征描述（18%）和技术评估（15%）。纳入的患者平均数量为114例（中位数=71；范围20 - 1419），每项研究计算的高阶特征平均数量为31个（中位数=26，范围1 - 286）。