Mapping the Proteomic Landscape of Radiological Lung Abnormalities
Recent years have seen a growing interest in the early detection of interstitial lung disease (I LD) and its potential implications for clinical care. One of the most promising tools for early ILD detection is computed tomography–based assessment, which has been shown to effectively identify ILD together with interstitial lung abnormalities (ILAs), which refer to incidentally detected features of ILD such as reticulation and honeycombing (1). Because ILAs can progress to overt ILD and are associated with