149 related articles for article (PubMed ID: 38577327)
1. Evaluation of the neoadjuvant chemotherapy response in osteosarcoma using the MRI DWI-based machine learning radiomics nomogram.
Zhang L; Gao Q; Dou Y; Cheng T; Xia Y; Li H; Gao S
Front Oncol; 2024; 14():1345576. PubMed ID: 38577327
[TBL] [Abstract][Full Text] [Related]
2. Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.
Zhong J; Zhang C; Hu Y; Zhang J; Liu Y; Si L; Xing Y; Ding D; Geng J; Jiao Q; Zhang H; Yang G; Yao W
Eur Radiol; 2022 Sep; 32(9):6196-6206. PubMed ID: 35364712
[TBL] [Abstract][Full Text] [Related]
3. Development of a MRI-Based Radiomics Nomogram for Prediction of Response of Patients With Muscle-Invasive Bladder Cancer to Neoadjuvant Chemotherapy.
Zhang X; Wang Y; Zhang J; Zhang L; Wang S; Chen Y
Front Oncol; 2022; 12():878499. PubMed ID: 35646654
[TBL] [Abstract][Full Text] [Related]
4. Machine Learning-Based Radiomics Nomogram With Dynamic Contrast-Enhanced MRI of the Osteosarcoma for Evaluation of Efficacy of Neoadjuvant Chemotherapy.
Zhang L; Ge Y; Gao Q; Zhao F; Cheng T; Li H; Xia Y
Front Oncol; 2021; 11():758921. PubMed ID: 34868973
[TBL] [Abstract][Full Text] [Related]
5. [Prediction of platinum-based chemotherapy sensitivity for epithelial ovarian cancer by multi-sequence MRI-based radiomic nomogram].
Mao MM; Li HM; Shi J; Qiu QS; Feng F
Zhonghua Yi Xue Za Zhi; 2022 Jan; 102(3):201-208. PubMed ID: 35042289
[No Abstract] [Full Text] [Related]
6. A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma.
Lin P; Yang PF; Chen S; Shao YY; Xu L; Wu Y; Teng W; Zhou XZ; Li BH; Luo C; Xu LM; Huang M; Niu TY; Ye ZM
Cancer Imaging; 2020 Jan; 20(1):7. PubMed ID: 31937372
[TBL] [Abstract][Full Text] [Related]
7. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients.
Chen S; Shu Z; Li Y; Chen B; Tang L; Mo W; Shao G; Shao F
Front Oncol; 2020; 10():1410. PubMed ID: 32923392
[No Abstract] [Full Text] [Related]
9. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
[TBL] [Abstract][Full Text] [Related]
10. Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer.
Zhang K; Lin J; Lin F; Wang Z; Zhang H; Zhang S; Mao N; Qiao G
J Xray Sci Technol; 2023; 31(4):669-683. PubMed ID: 37066960
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study.
Wang X; Hua H; Han J; Zhong X; Liu J; Chen J
Clin Breast Cancer; 2023 Aug; 23(6):e331-e344. PubMed ID: 37321954
[TBL] [Abstract][Full Text] [Related]
12. MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes.
Xiao G; Hu YC; Ren JL; Qin P; Han JC; Qu XY; Rong WC; Yan WQ; Tian Q; Han Y; Wang WP; Wang SM; Ma J; Wang W; Cui GB
Eur Radiol; 2021 Jan; 31(1):447-457. PubMed ID: 32700020
[TBL] [Abstract][Full Text] [Related]
13. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.
Li C; Yin J
Front Oncol; 2021; 11():671354. PubMed ID: 34041033
[TBL] [Abstract][Full Text] [Related]
14. Different multiparametric MRI-based radiomics models for differentiating stage IA endometrial cancer from benign endometrial lesions: A multicenter study.
Bi Q; Wang Y; Deng Y; Liu Y; Pan Y; Song Y; Wu Y; Wu K
Front Oncol; 2022; 12():939930. PubMed ID: 35992858
[TBL] [Abstract][Full Text] [Related]
15. [Value of radiomics models based on MRI diffusion weighted imaging and apparent diffusion coefficient in differentiating benign and malignant thyroid nodules].
Xu HJ; Yang Q; He P; Luo HH; Deng WM; Liu Z; Luo DH
Zhonghua Yi Xue Za Zhi; 2023 Nov; 103(41):3279-3286. PubMed ID: 37926572
[No Abstract] [Full Text] [Related]
16. Preoperative prediction of sonic hedgehog and group 4 molecular subtypes of pediatric medulloblastoma based on radiomics of multiparametric MRI combined with clinical parameters.
Wang Y; Wang L; Qin B; Hu X; Xiao W; Tong Z; Li S; Jing Y; Li L; Zhang Y
Front Neurosci; 2023; 17():1157858. PubMed ID: 37113160
[TBL] [Abstract][Full Text] [Related]
17. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
[TBL] [Abstract][Full Text] [Related]
18. Prediction of response to preoperative neoadjuvant chemotherapy in extremity high-grade osteosarcoma using X-ray and multiparametric MRI radiomics.
Luo Z; Li J; Liao Y; Huang W; Li Y; Shen X
J Xray Sci Technol; 2023; 31(3):611-626. PubMed ID: 37005907
[TBL] [Abstract][Full Text] [Related]
19. Radiomics Nomogram Based on Dual-Sequence MRI for Assessing Ki-67 Expression in Breast Cancer.
Zhang L; Shen M; Zhang D; He X; Du Q; Liu N; Huang X
J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38088478
[TBL] [Abstract][Full Text] [Related]
20. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma.
Chen YD; Zhang L; Zhou ZP; Lin B; Jiang ZJ; Tang C; Dang YW; Xia YW; Song B; Long LL
World J Gastroenterol; 2022 Aug; 28(31):4399-4416. PubMed ID: 36159011
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]