171 related articles for article (PubMed ID: 38234171)
81. Multiparametric MRI and Radiomics for the Prediction of HER2-Zero, -Low, and -Positive Breast Cancers.
Ramtohul T; Djerroudi L; Lissavalid E; Nhy C; Redon L; Ikni L; Djelouah M; Journo G; Menet E; Cabel L; Malhaire C; Tardivon A
Radiology; 2023 Aug; 308(2):e222646. PubMed ID: 37526540
[TBL] [Abstract][Full Text] [Related]
82. Development and Validation of Machine Learning Models to Predict Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer: A Multi-Center Retrospective Radiomics Study.
Liu Y; Zhou J; Wu J; Wang W; Wang X; Guo J; Wang Q; Zhang X; Li D; Xie J; Ding X; Xing Y; Hu D
Cancer Control; 2022; 29():10732748221092926. PubMed ID: 35417660
[TBL] [Abstract][Full Text] [Related]
83. Radiomics Signatures Based on Multiparametric MRI for the Preoperative Prediction of the HER2 Status of Patients with Breast Cancer.
Zhou J; Tan H; Li W; Liu Z; Wu Y; Bai Y; Fu F; Jia X; Feng A; Liu H; Wang M
Acad Radiol; 2021 Oct; 28(10):1352-1360. PubMed ID: 32709582
[TBL] [Abstract][Full Text] [Related]
84. The value of radiomics-based CT combined with machine learning in the diagnosis of occult vertebral fractures.
Li WG; Zeng R; Lu Y; Li WX; Wang TT; Lin H; Peng Y; Gong LG
BMC Musculoskelet Disord; 2023 Oct; 24(1):819. PubMed ID: 37848859
[TBL] [Abstract][Full Text] [Related]
85. A radiomics method based on MR FS-T2WI sequence for diagnosing of autosomal dominant polycystic kidney disease progression.
Cong L; Hua QQ; Huang ZQ; Ma QL; Wang XM; Huang CC; Xu JX; Ma T
Eur Rev Med Pharmacol Sci; 2021 Sep; 25(18):5769-5780. PubMed ID: 34604968
[TBL] [Abstract][Full Text] [Related]
86. Prediction of HER2 expression in breast cancer by combining PET/CT radiomic analysis and machine learning.
Chen Y; Wang Z; Yin G; Sui C; Liu Z; Li X; Chen W
Ann Nucl Med; 2022 Feb; 36(2):172-182. PubMed ID: 34716873
[TBL] [Abstract][Full Text] [Related]
87. Value of CT-based radiomics in evaluating the response of bone metastases to systemic drug therapy in breast cancer patients.
He M; Wang D; Li H; Sun M; Yan P; Zhang Y; Li L; Yu D; Wang X; Hu Y
Thorac Cancer; 2024 Feb; 15(5):361-368. PubMed ID: 38155425
[TBL] [Abstract][Full Text] [Related]
88. Prediction of the histologic upgrade of ductal carcinoma
Lee HJ; Park JH; Nguyen AT; Do LN; Park MH; Lee JS; Park I; Lim HS
Front Oncol; 2022; 12():1032809. PubMed ID: 36408141
[TBL] [Abstract][Full Text] [Related]
89. Value of radiomics based on CE-MRI for predicting the efficacy of neoadjuvant chemotherapy in invasive breast cancer.
Li Q; Huang Y; Xiao Q; Duan S; Wang S; Li J; Niu Q; Gu Y
Br J Radiol; 2022 Oct; 95(1139):20220186. PubMed ID: 36005646
[TBL] [Abstract][Full Text] [Related]
90. Preoperative Computed Tomography Radiomics Analysis for Predicting Receptors Status and Ki-67 Levels in Breast Cancer.
Fan Y; Pan X; Yang F; Liu S; Wang Z; Sun J; Chen J
Am J Clin Oncol; 2022 Dec; 45(12):526-533. PubMed ID: 36413682
[TBL] [Abstract][Full Text] [Related]
91. A nomogram model combining ultrasound-based radiomics features and clinicopathological factors to identify germline BRCA1/2 mutation in invasive breast cancer patients.
Guo R; Yu Y; Huang Y; Lin M; Liao Y; Hu Y; Li Q; Peng C; Zhou J
Heliyon; 2024 Jan; 10(1):e23383. PubMed ID: 38169922
[TBL] [Abstract][Full Text] [Related]
92. Intra- and peritumoral radiomics features based on multicenter automatic breast volume scanner for noninvasive and preoperative prediction of HER2 status in breast cancer: a model ensemble research.
Wang H; Chen W; Jiang S; Li T; Chen F; Lei J; Li R; Xi L; Guo S
Sci Rep; 2024 Feb; 14(1):5020. PubMed ID: 38424285
[TBL] [Abstract][Full Text] [Related]
93. Magnetic resonance-based radiomics nomogram for predicting microsatellite instability status in endometrial cancer.
Lin Z; Wang T; Li H; Xiao M; Ma X; Gu Y; Qiang J
Quant Imaging Med Surg; 2023 Jan; 13(1):108-120. PubMed ID: 36620141
[TBL] [Abstract][Full Text] [Related]
94. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
[TBL] [Abstract][Full Text] [Related]
95. 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]
96. Using radiomics based on multicenter magnetic resonance images to predict isocitrate dehydrogenase mutation status of gliomas.
Liu Y; Zheng Z; Wang Z; Qian X; Yao Z; Cheng C; Zhou Z; Gao F; Dai Y
Quant Imaging Med Surg; 2023 Apr; 13(4):2143-2155. PubMed ID: 37064376
[TBL] [Abstract][Full Text] [Related]
97. Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study.
Zhao J; Sun Z; Yu Y; Yuan Z; Lin Y; Tan Y; Duan X; Yao H; Wang Y; Liu J
J Immunother Cancer; 2023 May; 11(5):. PubMed ID: 37217246
[TBL] [Abstract][Full Text] [Related]
98. Development and validation of a combined nomogram for predicting perineural invasion status in rectal cancer via computed tomography-based radiomics.
Liu J; Sun L; Zhao X; Lu X
J Cancer Res Ther; 2023 Dec; 19(6):1552-1559. PubMed ID: 38156921
[TBL] [Abstract][Full Text] [Related]
99. Ultrasound radiomics based on axillary lymph nodes images for predicting lymph node metastasis in breast cancer.
Tang YL; Wang B; Ou-Yang T; Lv WZ; Tang SC; Wei A; Cui XW; Huang JS
Front Oncol; 2023; 13():1217309. PubMed ID: 37965477
[TBL] [Abstract][Full Text] [Related]
100. The predictive potential of contrast-enhanced computed tomography based radiomics in the preoperative staging of cT4 gastric cancer.
Liu B; Zhang D; Wang H; Wang H; Zhang P; Zhang D; Zhang Q; Zhang J
Quant Imaging Med Surg; 2022 Nov; 12(11):5222-5238. PubMed ID: 36330185
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
