287 related articles for article (PubMed ID: 35116625)
1. A nomogram combined with radiomics features, albuminuria, and metabolic syndrome to predict the risk of myometrial invasion of bladder cancer.
Zhou Q; Zhang Z; Ang X; Zhang H; Ouyang J
Transl Cancer Res; 2021 Jul; 10(7):3177-3191. PubMed ID: 35116625
[TBL] [Abstract][Full Text] [Related]
2. Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer.
Deng Z; Dong W; Xiong S; Jin D; Zhou H; Zhang L; Xie L; Deng Y; Xu R; Fan B
Front Oncol; 2023; 13():1166245. PubMed ID: 37223680
[TBL] [Abstract][Full Text] [Related]
3. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
Front Oncol; 2022; 12():944005. PubMed ID: 36081562
[TBL] [Abstract][Full Text] [Related]
4. Multi-Sequence and Multi-Regional MRI-Based Radiomics Nomogram for the Preoperative Assessment of Muscle Invasion in Bladder Cancer.
Zhang L; Li X; Yang L; Tang Y; Guo J; Li D; Li S; Li Y; Wang L; Lei Y; Qiao H; Yang G; Wang X
J Magn Reson Imaging; 2023 Jul; 58(1):258-269. PubMed ID: 36300676
[TBL] [Abstract][Full Text] [Related]
5. Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer.
Liu J; Wang X; Hu M; Zheng Y; Zhu L; Wang W; Hu J; Zhou Z; Dai Y; Dong F
Front Oncol; 2022; 12():963925. PubMed ID: 36046035
[TBL] [Abstract][Full Text] [Related]
6. Predictive Value of a Radiomics Nomogram Model Based on Contrast-Enhanced Computed Tomography for KIT Exon 9 Gene Mutation in Gastrointestinal Stromal Tumors.
Wei Y; Lu Z; Ren Y
Technol Cancer Res Treat; 2023; 22():15330338231181260. PubMed ID: 37296525
[TBL] [Abstract][Full Text] [Related]
7. A Novel Nomogram Model Based on Cone-Beam CT Radiomics Analysis Technology for Predicting Radiation Pneumonitis in Esophageal Cancer Patients Undergoing Radiotherapy.
Du F; Tang N; Cui Y; Wang W; Zhang Y; Li Z; Li J
Front Oncol; 2020; 10():596013. PubMed ID: 33392091
[TBL] [Abstract][Full Text] [Related]
8. Value of the application of computed tomography-based radiomics for preoperative prediction of unfavorable pathology in initial bladder cancer.
Xiong S; Dong W; Deng Z; Jiang M; Li S; Hu B; Liu X; Chen L; Xu S; Fan B; Fu B
Cancer Med; 2023 Aug; 12(15):15868-15880. PubMed ID: 37434436
[TBL] [Abstract][Full Text] [Related]
9. Extrathyroidal Extension Prediction of Papillary Thyroid Cancer With Computed Tomography Based Radiomics Nomogram: A Multicenter Study.
Yu P; Wu X; Li J; Mao N; Zhang H; Zheng G; Han X; Dong L; Che K; Wang Q; Li G; Mou Y; Song X
Front Endocrinol (Lausanne); 2022; 13():874396. PubMed ID: 35721715
[TBL] [Abstract][Full Text] [Related]
10. Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma.
Wu J; Fang Q; Yao J; Ge L; Hu L; Wang Z; Jin G
Front Oncol; 2022; 12():979358. PubMed ID: 36276108
[TBL] [Abstract][Full Text] [Related]
11. [Based on CT radiomics model for predicting the response to first-line chemotherapy of diffuse large B-cell lymphoma].
Yin MX; Su QN; Song X; Zhang JX
Zhonghua Zhong Liu Za Zhi; 2023 May; 45(5):438-444. PubMed ID: 37188630
[No Abstract] [Full Text] [Related]
12. MRI-based radiomics nomogram for the preoperative prediction of deep myometrial invasion of FIGO stage I endometrial carcinoma.
Zhao M; Wen F; Shi J; Song J; Zhao J; Song Q; Lai Q; Luo Y; Yu T; Jiang X; Jiang W; Dong Y
Med Phys; 2022 Oct; 49(10):6505-6516. PubMed ID: 35758644
[TBL] [Abstract][Full Text] [Related]
13. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
[TBL] [Abstract][Full Text] [Related]
14. Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer.
Wei Z; Liu H; Xv Y; Liao F; He Q; Xie Y; Lv F; Jiang Q; Xiao M
Heliyon; 2024 Jan; 10(2):e24878. PubMed ID: 38304824
[TBL] [Abstract][Full Text] [Related]
15. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A Nomogram Based on CT Radiomics and Clinical Risk Factors for Prediction of Prognosis of Hypertensive Intracerebral Hemorrhage.
Fang C; An X; Li K; Zhang J; Shang H; Jiao T; Zeng Q
Comput Intell Neurosci; 2022; 2022():9751988. PubMed ID: 36531926
[TBL] [Abstract][Full Text] [Related]
18. A CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma.
Xv Y; Lv F; Guo H; Liu Z; Luo D; Liu J; Gou X; He W; Xiao M; Zheng Y
Front Oncol; 2021; 11():712554. PubMed ID: 34926241
[TBL] [Abstract][Full Text] [Related]
19. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
Song Y; Li J; Wang H; Liu B; Yuan C; Liu H; Zheng Z; Min F; Li Y
Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
[TBL] [Abstract][Full Text] [Related]
20. Dynamic contrast-enhanced magnetic resonance imaging radiomics analysis based on intratumoral subregions for predicting luminal and nonluminal breast cancer.
Feng S; Yin J
Quant Imaging Med Surg; 2023 Oct; 13(10):6735-6749. PubMed ID: 37869317
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
