155 related articles for article (PubMed ID: 37434241)
1. HLA-DQA1 expression is associated with prognosis and predictable with radiomics in breast cancer.
Zhou J; Xie T; Shan H; Cheng G
Radiat Oncol; 2023 Jul; 18(1):117. PubMed ID: 37434241
[TBL] [Abstract][Full Text] [Related]
2. Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes.
Arefan D; Hausler RM; Sumkin JH; Sun M; Wu S
BMC Cancer; 2021 Apr; 21(1):370. PubMed ID: 33827490
[TBL] [Abstract][Full Text] [Related]
3. Computed tomography-based radiomics prediction of CTLA4 expression and prognosis in clear cell renal cell carcinoma.
He H; Jin Z; Dai J; Wang H; Sun J; Xu D
Cancer Med; 2023 Mar; 12(6):7627-7638. PubMed ID: 36397666
[TBL] [Abstract][Full Text] [Related]
4. High expression of HLA-DQA1 predicts poor outcome in patients with esophageal squamous cell carcinoma in Northern China.
Shen FF; Pan Y; Li JZ; Zhao F; Yang HJ; Li JK; Gao ZW; Su JF; Duan LJ; Lun SM; Zhang P; Tian LQ; Sun G; Huang D; Cao YT; Zhou FY
Medicine (Baltimore); 2019 Feb; 98(8):e14454. PubMed ID: 30813145
[TBL] [Abstract][Full Text] [Related]
5. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a CECT-based radiomics model for predicting IL1B expression and prognosis of head and neck squamous cell carcinoma.
Xie Y; Wang M; Xia H; Sun H; Yuan Y; Jia J; Chen L
Front Oncol; 2023; 13():1121485. PubMed ID: 36969073
[TBL] [Abstract][Full Text] [Related]
7. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
Liu C; Ding J; Spuhler K; Gao Y; Serrano Sosa M; Moriarty M; Hussain S; He X; Liang C; Huang C
J Magn Reson Imaging; 2019 Jan; 49(1):131-140. PubMed ID: 30171822
[TBL] [Abstract][Full Text] [Related]
8. Radiomic Prediction of CCND1 Expression Levels and Prognosis in Low-grade Glioma Based on Magnetic Resonance Imaging.
Zhao K; Zhang H; Lin J; Xu S; Liu J; Qian X; Gu Y; Ren G; Lu X; Chen B; Chen D; Yan J; Ma J; Wei W; Wang Y
Acad Radiol; 2024 May; ():. PubMed ID: 38824087
[TBL] [Abstract][Full Text] [Related]
9. HLA-DRB1,-DQA1 and -DQB1 allele and haplotype frequencies in female patients with early onset breast cancer.
Mahmoodi M; Nahvi H; Mahmoudi M; Kasaian A; Mohagheghi MA; Divsalar K; Nahavandian B; Jafari A; Ansarpour B; Moradi B; Aghamohammadi A; Amirzargar A
Pathol Oncol Res; 2012 Jan; 18(1):49-55. PubMed ID: 21720852
[TBL] [Abstract][Full Text] [Related]
10. Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2- Breast Cancer Quantified With 21-Gene Recurrence Score.
Chen Y; Tang W; Liu W; Li R; Wang Q; Shen X; Gong J; Gu Y; Peng W
J Magn Reson Imaging; 2023 Aug; 58(2):444-453. PubMed ID: 36440706
[TBL] [Abstract][Full Text] [Related]
11. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
12. CT-based machine learning radiomics predicts CCR5 expression level and survival in ovarian cancer.
Wan S; Zhou T; Che R; Li Y; Peng J; Wu Y; Gu S; Cheng J; Hua X
J Ovarian Res; 2023 Jan; 16(1):1. PubMed ID: 36597144
[TBL] [Abstract][Full Text] [Related]
13. Evaluating Tumor-Infiltrating Lymphocytes in Breast Cancer Using Preoperative MRI-Based Radiomics.
Bian T; Wu Z; Lin Q; Mao Y; Wang H; Chen J; Chen Q; Fu G; Cui C; Su X
J Magn Reson Imaging; 2022 Mar; 55(3):772-784. PubMed ID: 34453461
[TBL] [Abstract][Full Text] [Related]
14. Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas.
Park CJ; Han K; Kim H; Ahn SS; Choi YS; Park YW; Chang JH; Kim SH; Jain R; Lee SK
Eur Radiol; 2020 Dec; 30(12):6464-6474. PubMed ID: 32740813
[TBL] [Abstract][Full Text] [Related]
15. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
16. Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps.
Zhang Y; Zhu Y; Zhang K; Liu Y; Cui J; Tao J; Wang Y; Wang S
Radiol Med; 2020 Feb; 125(2):109-116. PubMed ID: 31696388
[TBL] [Abstract][Full Text] [Related]
17. An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer.
Liang C; Cheng Z; Huang Y; He L; Chen X; Ma Z; Huang X; Liang C; Liu Z
Acad Radiol; 2018 Sep; 25(9):1111-1117. PubMed ID: 29428211
[TBL] [Abstract][Full Text] [Related]
18. MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.
Li H; Zhu Y; Burnside ES; Drukker K; Hoadley KA; Fan C; Conzen SD; Whitman GJ; Sutton EJ; Net JM; Ganott M; Huang E; Morris EA; Perou CM; Ji Y; Giger ML
Radiology; 2016 Nov; 281(2):382-391. PubMed ID: 27144536
[TBL] [Abstract][Full Text] [Related]
19. Mammography-based radiomics for predicting the risk of breast cancer recurrence: a multicenter study.
Mao N; Yin P; Zhang H; Zhang K; Song X; Xing D; Chu T
Br J Radiol; 2021 Nov; 94(1127):20210348. PubMed ID: 34520235
[TBL] [Abstract][Full Text] [Related]
20. A Novel Prognostic Risk Model for Cervical Cancer Based on Immune Checkpoint HLA-G-Driven Differentially Expressed Genes.
Xu HH; Wang HL; Xing TJ; Wang XQ
Front Immunol; 2022; 13():851622. PubMed ID: 35924232
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
