Comparison of diffusion-weighted imaging findings in brain metastases of different origin

Meyer, Hans‐Jonas; Fiedler, Eckhard; Kornhuber, Malte; Spielmann, R. P.; Surov, Alexey

doi:10.1016/j.clinimag.2015.06.015

Cited by 24 publications

(25 citation statements)

References 19 publications

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“…Diffusion imaging has also been applied to this clinical dilemma of identifying the primary tumor, but with limited success (Meyer et al, 2015). In one study ADC values of brain metastases in 159 patients were analyzed.…”

Section: Determining Underlying Primary Tumormentioning

confidence: 99%

Brain metastases: neuroimaging

Pope

2018

Handbook of Clinical Neurology

154

130

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Magnetic resonance imaging (MRI) is the cornerstone for evaluating patients with brain masses such as primary and metastatic tumors. Important challenges in effectively detecting and diagnosing brain metastases and in accurately characterizing their subsequent response to treatment remain. These difficulties include discriminating metastases from potential mimics such as primary brain tumors and infection, detecting small metastases, and differentiating treatment response from tumor recurrence and progression. Optimal patient management could be benefited by improved and well-validated prognostic and predictive imaging markers, as well as early response markers to identify successful treatment prior to changes in tumor size. To address these fundamental needs, newer MRI techniques including diffusion and perfusion imaging, MR spectroscopy, and positron emission tomography (PET) tracers beyond traditionally used 18-fluorodeoxyglucose are the subject of extensive ongoing investigations, with several promising avenues of added value already identified. These newer techniques provide a wealth of physiologic and metabolic information that may supplement standard MR evaluation, by providing the ability to monitor and characterize cellularity, angiogenesis, perfusion, pH, hypoxia, metabolite concentrations, and other critical features of malignancy. This chapter reviews standard and advanced imaging of brain metastases provided by computed tomography, MRI, and amino acid PET, focusing on potential biomarkers that can serve as problem-solving tools in the clinical management of patients with brain metastases.

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Section: Determining Underlying Primary Tumormentioning

confidence: 99%

Brain metastases: neuroimaging

Pope

2018

Handbook of Clinical Neurology

154

130

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“…Low ADC values are generally associated with high cellularity and anaplasticity in tumors, features closely associated with SCLC brain metastases [ 46 , 47 ]. While not all studies could distinguish primary tumor types based on MRI ADC values [ 48 ], SCLC appears to have the lowest mean and median ADC differentiating it from melanoma, breast cancer, and NSCLC [ 49 ]. There may also be a higher intrapatient ADC variability in SCLC brain metastases compared to NSCLC.…”

Section: Introductionmentioning

confidence: 99%

State-of-the-art considerations in small cell lung cancer brain metastases

et al. 2017

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BackgroundSmall cell lung cancer (SCLC) frequently leads to development of brain metastases. These unfortunately continue to be associated with short survival. Substantial advances have been made in our understanding of the underlying biology of disease. This understanding on the background of previously evaluated and currently utilized therapeutic treatments can help guide the next steps in investigations into this disease with the potential to influence future treatments.DesignA comprehensive review of the literature covering epidemiology, pathophysiology, imaging characteristics, prognosis, and therapeutic management of SCLC brain metastases was performed.ResultsSCLC brain metastases continue to have a poor prognosis. Both unique aspects of SCLC brain metastases as well as features seen more universally across other solid tumor brain metastases are discussed. Systemic therapeutic studies and radiotherapeutic approaches are reviewed.ConclusionsA clearer understanding of SCLC brain metastases will help lay the framework for studies which will hopefully translate into meaningful therapeutic options for these patients.

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“…We thought that the FA decrease in brain metastases of SCLC is related to the decreased extracellular space secondary to high cellularity and decrease in the directionality of diffusion caused by microstructural derangement. 6,26,28 The major limitation of the current study was small sample size, especially in the SCLC group. Further studies with larger sample sizes may produce more accurate results.…”

Section: Dti Of Lung Cancer Brain Metastasesmentioning

confidence: 90%

Diffusion Tensor Imaging Can Discriminate the Primary Cell Type of Intracranial Metastases for Patients with Lung Cancer

Bilgin

Gültekin

Yurtsever

et al. 2022

MRMS

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Histopathological differentiation of primary lung cancer is clinically important. We aimed to investigate whether diffusion tensor imaging (DTI) parameters of metastatic brain lesions could predict the histopathological types of the primary lung cancer. Methods: In total, 53 patients with 98 solid metastatic brain lesions of lung cancer were included. Lung tumors were subgrouped as non-small cell carcinoma (NSCLC) (n = 34) and small cell carcinoma (SCLC) (n = 19). Apparent diffusion coefficient (ADC) and Fractional anisotropy (FA) values were calculated from solid enhanced part of the brain metastases. The association between FA and ADC values and histopathological subtype of the primary tumor was investigated. Results: The mean ADC and FA values obtained from the solid part of the brain metastases of SCLC were significantly lower than the NSCLC metastases (P < 0.001 and P = 0.003, respectively). ROC curve analysis showed diagnostic performance for mean ADC values (AUC=0.

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Comparison of diffusion-weighted imaging findings in brain metastases of different origin

Cited by 24 publications

References 19 publications

Brain metastases: neuroimaging

Brain metastases: neuroimaging

State-of-the-art considerations in small cell lung cancer brain metastases

Diffusion Tensor Imaging Can Discriminate the Primary Cell Type of Intracranial Metastases for Patients with Lung Cancer

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