172 related articles for article (PubMed ID: 37312525)
21. Radiomics based on T2-weighted and diffusion-weighted MR imaging for preoperative prediction of tumor deposits in rectal cancer.
Sun Z; Xia F; Lv W; Li J; Zou Y; Wu J
Am J Surg; 2024 Jun; 232():59-67. PubMed ID: 38272767
[TBL] [Abstract][Full Text] [Related]
22. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X
Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415
[TBL] [Abstract][Full Text] [Related]
23. Development and external validation of a clinical-radiomics nomogram for preoperative prediction of LVSI status in patients with endometrial carcinoma.
Chen J; Wang X; Lv H; Zhang W; Tian Y; Song L; Wang Z
J Cancer Res Clin Oncol; 2023 Nov; 149(15):13943-13953. PubMed ID: 37542548
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S
J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241
[TBL] [Abstract][Full Text] [Related]
26. [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]
27. Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space Invasion.
Huang G; Cui Y; Wang P; Ren J; Wang L; Ma Y; Jia Y; Ma X; Zhao L
Front Oncol; 2021; 11():663370. PubMed ID: 35096556
[TBL] [Abstract][Full Text] [Related]
28. Volumetric ADC histogram analysis for preoperative evaluation of LVSI status in stage I endometrioid adenocarcinoma.
Ma X; Ren X; Shen M; Ma F; Chen X; Zhang G; Qiang J
Eur Radiol; 2022 Jan; 32(1):460-469. PubMed ID: 34137929
[TBL] [Abstract][Full Text] [Related]
29. Combination Analysis of a Radiomics-Based Predictive Model With Clinical Indicators for the Preoperative Assessment of Histological Grade in Endometrial Carcinoma.
Zheng T; Yang L; Du J; Dong Y; Wu S; Shi Q; Wang X; Liu L
Front Oncol; 2021; 11():582495. PubMed ID: 34235069
[TBL] [Abstract][Full Text] [Related]
30. A Nomogram of Combining IVIM-DWI and MRI Radiomics From the Primary Lesion of Rectal Adenocarcinoma to Assess Nonenlarged Lymph Node Metastasis Preoperatively.
Jia H; Jiang X; Zhang K; Shang J; Zhang Y; Fang X; Gao F; Li N; Dong J
J Magn Reson Imaging; 2022 Sep; 56(3):658-667. PubMed ID: 35090079
[TBL] [Abstract][Full Text] [Related]
31. Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study.
Wang H; Xu X; Zhang X; Liu Y; Ouyang L; Du P; Li S; Tian Q; Ling J; Guo Y; Lu H
Eur Radiol; 2020 Sep; 30(9):4816-4827. PubMed ID: 32318846
[TBL] [Abstract][Full Text] [Related]
32. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
Xu H; Liu J; Chen Z; Wang C; Liu Y; Wang M; Zhou P; Luo H; Ren J
Eur Radiol; 2022 Jul; 32(7):4845-4856. PubMed ID: 35079887
[TBL] [Abstract][Full Text] [Related]
33. Intratumoral and peritumoral MRI radiomics nomogram for predicting parametrial invasion in patients with early-stage cervical adenocarcinoma and adenosquamous carcinoma.
Xiao ML; Fu L; Wei Y; Liu AE; Cheng JJ; Ma FH; Li HM; Li YA; Lin ZJ; Zhang GF; Qiang JW
Eur Radiol; 2024 Feb; 34(2):852-862. PubMed ID: 37610442
[TBL] [Abstract][Full Text] [Related]
34. Multiparameter MRI-based radiomics nomogram for preoperative prediction of brain invasion in atypical meningioma:a multicentre study.
Yu J; Kong X; Xie D; Zheng F; Wang C; Shi D; He C; Liang X; Xu H; Li S; Chen X
BMC Med Imaging; 2024 Jun; 24(1):134. PubMed ID: 38840054
[TBL] [Abstract][Full Text] [Related]
35. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
[TBL] [Abstract][Full Text] [Related]
36. A nomogram for preoperative risk stratification based on MRI morphological parameters in patients with endometrioid endometrial carcinoma.
Yan B; Li Z; Deng Y; Ren J; Zhao T; Ding C; Zhang Y
Eur J Radiol; 2023 Jun; 163():110789. PubMed ID: 37068415
[TBL] [Abstract][Full Text] [Related]
37. Endometrioid adenocarcinoma: combined multiparametric MRI and tumour marker HE4 to evaluate tumour grade and lymphovascular space invasion.
Yue XN; He XY; Wu JJ; Fan W; Zhang HJ; Wang CW
Clin Radiol; 2023 Aug; 78(8):e574-e581. PubMed ID: 37183140
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. 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]
40. Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
Wang X; Zhao X; Li Q; Xia W; Peng Z; Zhang R; Li Q; Jian J; Wang W; Tang Y; Liu S; Gao X
Eur Radiol; 2019 Nov; 29(11):6049-6058. PubMed ID: 30887209
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
