Diffusion-Weighted Imaging of Brain Metastasis from Lung Cancer: Correlation of MRI Parameters with the Histologic Type and Gene Mutation Status

Abstract

Our results suggest that DWI parameters (minimum ADC and normalized ADC ratio) for the solid components of brain metastasis from lung cancer are not correlated with their histology, whereas they can predict the mutation status in brain metastasis from lung adenocarcinoma.

Brain MRI imaging characteristics predict treatment response and outcome in patients with de novo brain metastasis of EGFR-mutated NSCLC

“…The previous studies have shown certain MR imaging characteristics were associated with gene mutation status of the primary tumor [14] and were predictor for OS [15] . However, these studies did not further focus on the association between brain MRI characteristics and prognosis, and had minimal impact on the treatment decision.…”

“…There have been a few publications focusing on ADC value as brain MR parameters and its association with BM. DWI parameters, minimum ADC and normalized ADC ratio, for the solid BM was reported to predict the EGFR mutation status in BM from lung adenocarcinoma, [14] and minimum ADC and ADC transition coefficient (ATC, ADC changes at the brain-metastasis interface) as predictor for OS [15] . We found that the high prevalence of intratumoral hemorrhage or necrosis in BM is a major technical issue, and small BM was only detected on 3D T1 imaging and too small to be measured on ADC map.…”

“…Although it has been reported that the pattern and distribution of BM were associated with NSCLC mutation status, the association with treatment response and survival has not been investigated. [10,11,12,13,14] Moreover, the real-world experiences and comparison of different TKI on EGFR-mutated NSCLC with de novo BM need to be stratified and analyzed. In this study we delineated the brain MR imaging characteristics and their association with prognosis and treatment outcome of different EGFR-TKIs.…”

Diffusion kurtosis imaging‐derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings

“…Several previous studies have mainly focused on the relationship between the tumor metabolism evaluated by positron emission tomography/ computed tomography with 18F‐fluorodeoxyglucose (18F‐FDG PET/CT) and genetic mutations in CRC or rectal cancer; however, with conflicting results . Magnetic resonance imaging (MRI) based on morphologic features and quantitative parameters derived by using diffusion‐weighted imaging (DWI) may help predict mutation status of various tumors . However, conventional DWI using a monoexponential model has the limitation of only assessing the Gaussian water diffusion behavior.…”

“…[12][13][14][15][16] Magnetic resonance imaging (MRI) based on morphologic features and quantitative parameters derived by using diffusion-weighted imaging (DWI) may help predict mutation status of various tumors. [17][18][19][20] However, conventional DWI using a monoexponential model has the limitation of only assessing the Gaussian water diffusion behavior. Diffusion kurtosis imaging (DKI), an advanced non-Gaussian DWI model, can provide more precise information in terms of the heterogeneity and irregularity of tissue components.…”