连接组学
医学
额上回
乳腺癌
生活质量(医疗保健)
体素
功能磁共振成像
神经影像学
连接体
内科学
听力学
肿瘤科
神经科学
功能连接
癌症
精神科
放射科
心理学
护理部
作者
Mu Zi Liang,Ying Tang,Peng Chen,Xuhai Tang,M. Tish Knobf,Guang Yun Hu,Zhe Sun,Mei Ling Liu,Yuan Liang Yu,Zeng Jie Ye
标识
DOI:10.1016/j.ejon.2023.102499
摘要
Abstract
Purpose
Whether brain connectomics can predict 1-year decreased Quality of Life (QoL) in patients with breast cancer are unclear. A longitudinal study was utilized to explore their prediction abilities with a multi-center sample. Methods
232 breast cancer patients were consecutively enrolled and 214 completed the 1-year QoL assessment (92.2%). Resting state functional magnetic resonance imaging was collected before the treatment and a multivoxel pattern analysis (MVPA) was performed to differentiate whole-brain resting-state connectivity patterns. Net Reclassification Improvement (NRI) as well as Integrated Discrimination Improvement (IDI) were calculated to estimate the incremental value of brain connectomics over conventional risk factors. Results
Paracingulate Gyrus, Superior Frontal Gyrus and Frontal Pole were three significant brain areas. Brain connectomics yielded 7.8–17.2% of AUC improvement in predicting 1-year decreased QoL. The NRI and IDI ranged from 20.27 to 54.05%, 13.21–33.34% respectively. Conclusion
Brain connectomics contribute to a more accurate prediction of 1-year decreased QoL in breast cancer. Significant brain areas in the prefrontal lobe could be used as potential intervention targets (i.e., Cognitive Behavioral Group Therapy) to improve long-term QoL outcomes in breast cancer.
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