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Brain connectomics improve prediction of 1-year decreased quality of life in breast cancer: A multi-voxel pattern analysis

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收录情况： ◇ SCIE ◇ SSCI

作者：
Liang Mu Zi[1] * ; Tang Ying[2] * ; Chen Peng[3] * ; Tang Xiao Na[4] * ; Knobf M Tish[5] ; Hu Guang Yun[6] ; Sun Zhe[7] ; Liu Mei Ling[8] ; Yu Yuan Liang[9] ; Ye Zeng Jie[10] ;
机构： [1]Guangdong Academy of Population Development, Guangzhou, China. [2]Institute of Tumor, Guangzhou University of Chinese Medicine, Guangzhou, China. [3]Basic Medical School, Guizhou University of Traditional Chinese Medicine, Guiyang, China. [4]Shenzhen Bao'an Traditional Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, China. [5]School of Nursing, Yale University, Orange, CT, United States. [6]Army Medical University, Chongqing Municipality, China. [7]The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China. [8]Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China. [9]South China University of Technology, Guangzhou, China. [10]School of Nursing, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
出处：
DOI： 10.1016/j.ejon.2023.102499
ISSN：

关键词： Brain connectomics rs-fMRI Multivoxel pattern analysis Prediction Quality of life Breast cancer Be resilient to breast cancer

摘要：
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.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.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.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.Copyright © 2023 Elsevier Ltd. All rights reserved.

基金：
This research was funded by grants from National Natural Science Foundation of China (No.72274043, 71904033), Young Elite Scientists Sponsorship Program by CACM (No.2021-QNRC2-B08), Humanity and Social Science Foundation of Department of Education of Guangdong Province (No.2020WTSCX009), Science and Technology Projects in Guangzhou (No.202102020108) and Sanming Project of Medicine in Shenzhen (No. SZZYSM202206014).
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出版当年[2023]版：
大类 | 3 区 医学
小类 | 2 区 护理 3 区 肿瘤学
最新[2025]版：
大类 | 3 区 医学
小类 | 2 区 护理 3 区 肿瘤学
JCR分区：
出版当年[2022]版：
Q1 NURSING Q3 ONCOLOGY
最新[2023]版：
Q1 NURSING Q3 ONCOLOGY

影响因子： 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

第一作者：
第一作者机构： [1]Guangdong Academy of Population Development, Guangzhou, China.
共同第一作者：
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推荐引用方式(GB/T 7714)：
Liang Mu Zi,Tang Ying,Chen Peng,et al.Brain connectomics improve prediction of 1-year decreased quality of life in breast cancer: A multi-voxel pattern analysis[J].EUROPEAN JOURNAL OF ONCOLOGY NURSING.2024,68:102499.doi:10.1016/j.ejon.2023.102499.
APA：
Liang Mu Zi,Tang Ying,Chen Peng,Tang Xiao Na,Knobf M Tish...&Ye Zeng Jie.(2024).Brain connectomics improve prediction of 1-year decreased quality of life in breast cancer: A multi-voxel pattern analysis.EUROPEAN JOURNAL OF ONCOLOGY NURSING,68,
MLA：
Liang Mu Zi,et al."Brain connectomics improve prediction of 1-year decreased quality of life in breast cancer: A multi-voxel pattern analysis".EUROPEAN JOURNAL OF ONCOLOGY NURSING 68.(2024):102499

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