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Liu J, Cong C, Zhang J, Qiao J, Guo H, Wu H, Sang Z, Kang H, Fang J, Zhang W. Multimodel habitats constructed by perfusion and/or diffusion MRI predict isocitrate dehydrogenase mutation status and prognosis in high-grade gliomas. Clin Radiol 2024; 79:e127-e136. [PMID: 37923627 DOI: 10.1016/j.crad.2023.09.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/15/2023] [Accepted: 09/22/2023] [Indexed: 11/07/2023]
Abstract
AIM To determine whether tumour vascular and cellular heterogeneity of high-grade glioma (HGG) is predictive of isocitrate dehydrogenase (IDH) mutation status and overall survival (OS) by using tumour habitat-based analysis constructed by perfusion and/or diffusion magnetic resonance imaging (MRI). MATERIALS AND METHODS Seventy-eight HGG patients that met the 2021 World Health Organization WHO Classification of Tumors of the Central Nervous System, 5th edition (WHO CNS5), were enrolled to predict IDH mutation status, of which 32 grade 4 patients with unmethylated O6-methylguanine-DNA methyltransferase (MGMT) promoter were enrolled for prognostic analysis. The deep-learning-based model nnU-Net and K-means clustering algorithm were applied to construct the Traditional Habitat, Vascular Habitat (VH), Cellular Density Habitat (DH), and their Combined Habitat (CH). Quantitative parameters were extracted and compared between IDH-mutant and IDH-wild-type patients, respectively, and the prediction potential was evaluated by receiver operating characteristic (ROC) curve analysis. OS was analysed using Kaplan-Meier survival analysis and the log-rank test. RESULTS Compared with IDH-mutants, median relative cerebral blood volume (rCBVmedian) values in the whole enhancing tumour (WET), VH1, VH3, CH1-4 habitats were significantly increased in IDH-wild-type HGGs (all p<0.05). Additionally, the accuracy of rCBVmedian values in CH1 outperformed other habitats in identifying IDH mutation status (p<0.001) at a cut-off value of 4.83 with AUC of 0.815. Kaplan-Meier survival analysis highlighted significant differences in OS between the populations dichotomised by the median of rCBVmedian in WET, VH1, CH1-3 habitats (all p<0.05). CONCLUSIONS The habitat imaging technique may improve the accuracy of predicting IDH mutation status and prognosis, and even provide a new direction for subsequent personalised precision treatment.
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Affiliation(s)
- J Liu
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China; Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, 400042, China
| | - C Cong
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China; School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - J Zhang
- Department of Radiology, General Hospital of Western Theater Command of PLA, Chengdu, 600083, China
| | - J Qiao
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China; Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, 400042, China
| | - H Guo
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China; Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, 400042, China
| | - H Wu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Z Sang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China; Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, 400042, China
| | - H Kang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China; Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, 400042, China
| | - J Fang
- Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, 400042, China; Department of Ultrasound, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - W Zhang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China; Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, 400042, China.
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Wang S, Han C, Sang Z, Zhang X, Chen S, Wang H, Wang G, Xu Y, Lei X, Chen J. Hidden faces, altered perceptions: the impact of face masks on interpersonal perception. Front Psychol 2023; 14:1203442. [PMID: 37416539 PMCID: PMC10321351 DOI: 10.3389/fpsyg.2023.1203442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 05/31/2023] [Indexed: 07/08/2023] Open
Abstract
The pandemic has made wearing masks commonplace, prompting researchers to investigate their effects on interpersonal perception. Findings indicate masks obstruct face identification and expression recognition, with lower face cues being most affected. When judging attractiveness, masks can enhance the appeal of less attractive faces, but reduce the appeal of more attractive faces. Trust and speech perception outcomes are inconclusive. Future studies could focus on individual differences in how masks influence our perception of others.
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Affiliation(s)
- Shuai Wang
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, China
| | - Chengyang Han
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, China
- Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou, China
| | - Zihan Sang
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, China
| | - Xuhui Zhang
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, China
| | - Shitao Chen
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, China
| | - Haoran Wang
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, China
| | - Gang Wang
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, China
| | - Yiqian Xu
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, China
| | - Xue Lei
- School of Business Administration, Zhejiang University of Finance and Economics, Hangzhou, China
| | - Jixu Chen
- Chinese Education Modernization Research Institute of Hangzhou Normal University (Zhejiang Provincial Key Think Tank), Hangzhou, China
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Wang Y, Li Y, Chen Y, Zhou R, Sang Z, Meng L, Tan J, Qiao F, Bao Q, Luo D, Peng C, Wang YS, Luo C, Hu P, Xu Z. Systematic analysis of copy-number variations associated with early pregnancy loss. Ultrasound Obstet Gynecol 2020; 55:96-104. [PMID: 31364215 DOI: 10.1002/uog.20412] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 07/11/2019] [Accepted: 07/12/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVES Embryonic numerical and structural chromosomal abnormalities are the most common cause of early pregnancy loss. However, the role of submicroscopic copy-number variations (CNVs) in early pregnancy loss is unclear, and little is known about the critical regions and candidate genes for miscarriage, because of the large size of structural chromosomal abnormalities. The aim of this study was to identify potential miscarriage-associated submicroscopic CNVs and critical regions of large CNVs as well as candidate genes for miscarriage. METHODS Over a 5-year period, 5180 fresh miscarriage specimens were investigated using quantitative fluorescent polymerase chain reaction/CNV sequencing or chromosomal microarray analysis. Statistically significant submicroscopic CNVs were identified by comparing the frequency of recurrent submicroscopic CNVs between cases and a published control cohort. Furthermore, genes within critical regions of miscarriage-associated CNVs were prioritized by integrating the Residual Variation Intolerance Score and the human gene expression dataset for identification of potential miscarriage candidate genes. RESULTS Results without significant maternal-cell contamination were obtained in 5003 of the 5180 (96.6%) cases. Clinically significant chromosomal abnormalities were identified in 59.1% (2955/5003) of these cases. Three recurrent submicroscopic CNVs (microdeletions in 22q11.21, 2q37.3 and 9p24.3p24.2) were significantly more frequent in miscarriage cases, and were considered to be associated with miscarriage. Moreover, 44 critical regions of large CNVs were observed, including 14 deletions and 30 duplications. There were 309 genes identified as potential miscarriage candidate genes through gene-prioritization analysis. CONCLUSIONS We identified potential miscarriage candidate CNVs and genes. These data demonstrate the importance of CNVs in the etiology of miscarriage and highlight the importance of ongoing analysis of CNVs in the study of miscarriage. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- Y Wang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
| | - Y Li
- Department of Rheumatology, Children's Hospital of Fudan University, Shanghai, China
| | - Y Chen
- CapitalBio Genomics Co., Ltd, Dongguan, Guangdong Province, China
- CapitalBio Technology Inc., Beijing, China
| | - R Zhou
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
| | - Z Sang
- Biosan Biochemical Technologies Co., Ltd, Hangzhou, Zhejiang Province, China
| | - L Meng
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
| | - J Tan
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
| | - F Qiao
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
| | - Q Bao
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
| | - D Luo
- CapitalBio Genomics Co., Ltd, Dongguan, Guangdong Province, China
- CapitalBio Technology Inc., Beijing, China
| | - C Peng
- CapitalBio Genomics Co., Ltd, Dongguan, Guangdong Province, China
- CapitalBio Technology Inc., Beijing, China
| | - Y S Wang
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, China
- Binhai Genomics Institute, BGI-Tianjin, BGI-Shenzhen, Tianjin, China
| | - C Luo
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
| | - P Hu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
| | - Z Xu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu Province, China
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