603 related articles for article (PubMed ID: 31252296)
1. Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer.
Wu Q; Wang S; Chen X; Wang Y; Dong L; Liu Z; Tian J; Wang M
Radiother Oncol; 2019 Sep; 138():141-148. PubMed ID: 31252296
[TBL] [Abstract][Full Text] [Related]
2. Feasibility of T
Song J; Hu Q; Ma Z; Zhao M; Chen T; Shi H
Eur Radiol; 2021 Sep; 31(9):6938-6948. PubMed ID: 33585992
[TBL] [Abstract][Full Text] [Related]
3. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
[TBL] [Abstract][Full Text] [Related]
4. Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer.
Kan Y; Dong D; Zhang Y; Jiang W; Zhao N; Han L; Fang M; Zang Y; Hu C; Tian J; Li C; Luo Y
J Magn Reson Imaging; 2019 Jan; 49(1):304-310. PubMed ID: 30102438
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.
Liu S; Zhou Y; Wang C; Shen J; Zheng Y
BMC Med Imaging; 2023 Aug; 23(1):101. PubMed ID: 37528338
[TBL] [Abstract][Full Text] [Related]
7. MRI Texture Analysis for Preoperative Prediction of Lymph Node Metastasis in Patients with Nonsquamous Cell Cervical Carcinoma.
Xiao ML; Wei Y; Zhang J; Jian JM; Song Y; Lin ZJ; Qian L; Zhang GF; Qiang JW
Acad Radiol; 2022 Nov; 29(11):1661-1671. PubMed ID: 35151550
[TBL] [Abstract][Full Text] [Related]
8. A MRI radiomics-based model for prediction of pelvic lymph node metastasis in cervical cancer.
Wang T; Li YY; Ma NN; Wang PA; Zhang B
World J Surg Oncol; 2024 Feb; 22(1):55. PubMed ID: 38365759
[TBL] [Abstract][Full Text] [Related]
9. Feasibility of an ADC-based radiomics model for predicting pelvic lymph node metastases in patients with stage IB-IIA cervical squamous cell carcinoma.
Yu YY; Zhang R; Dong RT; Hu QY; Yu T; Liu F; Luo YH; Dong Y
Br J Radiol; 2019 May; 92(1097):20180986. PubMed ID: 30888846
[TBL] [Abstract][Full Text] [Related]
10. A meta-analysis of MRI-based radiomic features for predicting lymph node metastasis in patients with cervical cancer.
Li L; Zhang J; Zhe X; Tang M; Zhang X; Lei X; Zhang L
Eur J Radiol; 2022 Jun; 151():110243. PubMed ID: 35366583
[TBL] [Abstract][Full Text] [Related]
11. Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging.
Wang T; Gao T; Yang J; Yan X; Wang Y; Zhou X; Tian J; Huang L; Zhang M
Eur J Radiol; 2019 May; 114():128-135. PubMed ID: 31005162
[TBL] [Abstract][Full Text] [Related]
12. Feasibility of MRI-based radiomics features for predicting lymph node metastases and VEGF expression in cervical cancer.
Deng X; Liu M; Sun J; Li M; Liu D; Li L; Fang J; Wang X; Zhang J
Eur J Radiol; 2021 Jan; 134():109429. PubMed ID: 33290975
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Radiomics analysis for prediction of lymph node metastasis after neoadjuvant chemotherapy based on pretreatment MRI in patients with locally advanced cervical cancer.
Liu J; Dong L; Zhang X; Wu Q; Yang Z; Zhang Y; Xu C; Wu Q; Wang M
Front Oncol; 2024; 14():1376640. PubMed ID: 38779088
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics.
Chen W; Wang S; Dong D; Gao X; Zhou K; Li J; Lv B; Li H; Wu X; Fang M; Tian J; Xu M
Front Oncol; 2019; 9():1265. PubMed ID: 31824847
[No Abstract] [Full Text] [Related]
17. [Radiomics nomogram of MR: a prediction of cervical lymph node metastasis in laryngeal cancer].
Jia CL; Cao Y; Song Q; Zhang WB; Li JJ; Wu XX; Yu PY; Mou YK; Mao N; Song XC
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Dec; 55(12):1154-1161. PubMed ID: 33342131
[No Abstract] [Full Text] [Related]
18. 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]
19. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
20. Prediction of Cervical Lymph Node Metastasis Using MRI Radiomics Approach in Papillary Thyroid Carcinoma: A Feasibility Study.
Zhang H; Hu S; Wang X; He J; Liu W; Yu C; Sun Z; Ge Y; Duan S
Technol Cancer Res Treat; 2020; 19():1533033820969451. PubMed ID: 33161833
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]