ArticleBMC medical imaging2018
Apparent diffusion coefficient as an effective index for the therapeutic efficiency of brain chemoradiotherapy for brain metastases from lung cancer.
Article in BMC medical imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Assessing brain metastasis response to immunotherapy: a pictorial review of atypical responses and intracranial adverse events.Insights into imaging · 2025Article
- Article
- Brain diffusion MRI biomarkers after oncology treatments.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023Review
- Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessment.Frontiers in oncology · 2023Article
- Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting.Physics and imaging in radiation oncology · 2022Article
- Diffusion Tensor Imaging Can Discriminate the Primary Cell Type of Intracranial Metastases for Patients with Lung Cancer.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Article
- Differentiation of brain metastases from small and non-small lung cancers using apparent diffusion coefficient (ADC) maps.BMC medical imaging · 2021Article
- Predictive effect of DCE-MRI and DWI in brain metastases from NSCLC.Open medicine (Warsaw, Poland) · 2021Article
- A comparison of the multimodal magnetic resonance imaging features of brain metastases vs. high-grade gliomas.American journal of translational research · 2021Article
- Diffusion MRI changes in the anterior subventricular zone following chemoradiation in glioblastoma with posterior ventricular involvement.Journal of neuro-oncology · 2020Article
- Article
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3 authors at 1 institution in 1 country.
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Abstract
backgroundThe potential of apparent diffusion coefficient (ADC) value alteration before and after chemoradiotherapy as a potential monitor for therapeutic efficiency of treatment for brain metastases from lung cancer were discussed.
methodThirty lung cancer patients with brain metastases, conventional magnetic resonance imaging (MRI) examination and diffusion weighted imaging (DWI) were performed one week before chemoradiotherapy and after one treatment cycle and two treatment cycles. 43 tumor lesions were divided into effective group and invalid group according to the changes of the tumor size. The differences in ADC values at different time points before and after treatment in each treatment group were analyzed.
resultThe maximum diameter of the tumor was no difference after one treatment cycle, but decreased after two treatment cycles. ADC values significantly increased after both one and two treatment cycles. In effective group, the ADC values were significantly increased after one and two treatment cycles. While, there are no difference in invalid group after one treatment cycle but decreased after two treatment cycles. ΔADC values in effective group after one and two treatment cycles were both significantly higher than those in the invalid group. ROC curve analysis then revealed that the area under the curve (AUC) of ΔADC after one treatment was 0.872.
conclusionADC values in brain metastases from lung cancer can help monitor and dynamically observe the therapeutic efficiency of whole brain chemoradiotherapy.
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