Editorial for “Amide Proton Transfer‐Weighted Imaging and Multiple Models Intravoxel Incoherent Motion Based ¹⁸F‐FDG PET/MRI for Predicting Progression‐Free Survival in Non‐Small Cell Lung Cancer”

Abstract

A ccurate prognostication of outcomes in non-small cell lung cancer (NSCLC) is of utmost significance, especially for customizing personalized treatment strategies. Given the aggressive nature, high recurrence rates, and potential for metastasis of NSCLC, novel prognostic approaches are essential. The influence of treatment on tumor architecture and the surrounding environment can precede tumor size decreases, prompting the development of more useful biomarkers for evaluating treatment response. 1 Although PET/CT outperforms PET/MRI in detecting non-FDG-positive nodules of 5 mm or less in diameter, 2 PET/MRI offers the advantage of generating multiparametric images, which provide a variety of quantitative biomarkers important to both histological examination and prognostic evaluation. These biomarkers might give a more thorough understanding of tumor features than conventional anatomical imaging, leading to more accurate treatment outcome predictions in NSCLC. 1 In this issue of JMRI, the authors 3 utilized a hybrid 18 F-FDG PET/MRI to examine the predictive ability of mul-