Editorial: Radiomics Advances Precision Medicine

Radiomics-Based Tumor Phenotyping in Precision MedicineRadiomics applies quantitative methods to medical images and derives phenotypic information that might not be obvious during traditional visual inspection.The potential for radiomics to identify previously unrecognizable imaging biomarkers for tumor genotype and pathology has sparked considerable interest in exploring the clinical potential of radiomics (1).Since its initial presentation in 2012 (2), radiomics has been widely applied in oncology (Wu et al.) and has achieved robust performance in assessment of genomic features (Shen et al.) (3); tumor subtypes (4, 5); nodal metastases of various cancers such as colorectal cancer, gastric cancer, breast cancer (6-8) and occult distant metastases (9).In addition, radiomics has been used in evaluation of treatment response (10, 11) and outcome prediction (12, 13).The recent rapid development of artificial intelligence and its application in mining medical "big data" have further advanced the field of radiomics in both oncological research and clinical practice.Precision medicine refers to tailoring treatments to patient-specific information, such as genomic makeup and molecular characteristics, to optimize the treatment strategy for each patient (14).Radiomics can identify tumor features that reflect the underlying tissue characteristics for each patient and can inform precision medicine (15).The field of radiomics has already accomplished a great deal toward promoting personalized medicine and assisting clinical decision-making.However, there are still several issues preventing its wide application for precision medicine.These issues include challenges with the interpretability, reproducibility and biological correlation of radiomic features.In addition, data mining and processing techniques for radiomic analysis need improvement.Therefore, we launched this Research Topic, "Radiomics-Based Tumor Phenotyping in Precision Medicine", to provide a platform for reporting radiomic studies focusing on precision medicine.We received more than 60 manuscripts focused on various tumors throughout the body, including brain glioma, brain metastasis, nasopharyngeal carcinoma, lung cancer, breast cancer, gastric cancer, renal cancer, rectal cancer, and prostate cancer.After peer review, 43 papers were selected for publication with this Research Topic in Frontiers in Oncology.Among the cancers studied, lung cancer stood out as having the most publications, with 11 papers.In addition, more than half of the papers were focused on

Abstract licence: CC BY

1. 8.

   Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer · 2019

2. 14.

   Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker · 2020

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

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