The Role of Radiomics in Lung Cancer: From Screening to Treatment and Follow-Up

PurposeLung cancer represents the first cause of cancer-related death in the world. Radiomics studies arise rapidly in this late decade. The aim of this review is to identify important recent publications to be synthesized into a comprehensive review of the current status of radiomics in lung cancer at each step of the patients’ care.MethodsA literature review was conducted using PubMed/Medline for search of relevant peer-reviewed publications from January 2012 to June 2020ResultsWe identified several studies at each point of patient’s care: detection and classification of lung nodules (n=16), determination of histology and genomic (n=10) and finally treatment outcomes predictions (=23). We reported the methodology of those studies and their results and discuss the limitations and the progress to be made for clinical routine applications.ConclusionPromising perspectives arise from machine learning applications and radiomics based models in lung cancers, yet further data are necessary for their implementation in daily care. Multicentric collaboration and attention to quality and reproductivity of radiomics studies should be further consider.

Abstract licence: CC BY

1. 9.

   Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation · 2014

2. 13.

   FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0 · 2014

3. 31.

   Reproducibility of radiomics for deciphering tumor phenotype with imaging · 2016

4. 32.

   Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology · 2016

5. 38.
   Corrected

   Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC · 2016

35 more references, whose wording the paper’s licence keeps private.

• Low‐dose computed tomography lung cancer screening: Clinical evidence and implementation research · 2022

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.