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Blood-brain barrier and brain structural changes in lung cancer patients with non-brain metastases.
Zhang, Da-Fu; Ma, Huan; Yang, Guang-Jun; Zhang, Zhi-Ping; He, Yin-Fu; Feng, Mao-Yang; Shan, Bao-Ci; Xu, Xiu-Feng; Ding, Ying-Ying; Cheng, Yu-Qi.
Afiliação
  • Zhang DF; Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Ma H; Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
  • Yang GJ; Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
  • Zhang ZP; Department of Psychiatry, the Second Affiliated Hospital of Kunming Medical University, Kunming, China.
  • He YF; Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
  • Feng MY; Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
  • Shan BC; Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
  • Xu XF; Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Ding YY; Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
  • Cheng YQ; Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Front Oncol ; 12: 1015011, 2022.
Article em En | MEDLINE | ID: mdl-36330467
ABSTRACT

Purpose:

To explore the relationship between blood-brain barrier (BBB) leakage and brain structure in non-brain metastasis lung cancer (LC) by magnetic resonance imaging (MRI) as well as to indicate the possibility of brain metastasis (BM) occurrence. Patients and

methods:

MRI were performed in 75 LC patients and 29 counterpart healthy peoples (HCs). We used the Patlak pharmacokinetic model to calculate the average leakage in each brain region according to the automated anatomical labeling (AAL) atlas. The thickness of the cortex and the volumes of subcortical structures were calculated using the FreeSurfer base on Destrieux atlas. We compared the thickness of the cerebral cortex, the volumes of subcortical structures, and the leakage rates of BBB, and evaluated the relationships between these parameters.

Results:

Compared with HCs, the leakage rates of seven brain regions were higher in patients with advanced LC (aLC). In contrast to patients with early LC (eLC), the cortical thickness of two regions was decreased in aLCs. The volumes of twelve regions were also reduced in aLCs. Brain regions with increased BBB penetration showed negative correlations with thinner cortices and reduced subcortical structure volumes (P<0.05, R=-0.2 to -0.50). BBB penetration was positively correlated with tumor size and with levels of the tumor marker CYFRA21-1 (P<0.05, R=0.2-0.70).

Conclusion:

We found an increase in BBB permeability in non-BM aLCs that corresponded to a thinner cortical thickness and smaller subcortical structure volumes. With progression in LC staging, BBB shows higher permeability and may be more likely to develop into BM.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article