474 related articles for article (PubMed ID: 30102438)
1. 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]
2. 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]
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. MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively.
Li Z; Li H; Wang S; Dong D; Yin F; Chen A; Wang S; Zhao G; Fang M; Tian J; Wu S; Wang H
J Magn Reson Imaging; 2019 May; 49(5):1420-1426. PubMed ID: 30362652
[TBL] [Abstract][Full Text] [Related]
5. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.
Lu W; Zhong L; Dong D; Fang M; Dai Q; Leng S; Zhang L; Sun W; Tian J; Zheng J; Jin Y
Eur J Radiol; 2019 Sep; 118():231-238. PubMed ID: 31439247
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
9. Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinoma.
Chen J; He B; Dong D; Liu P; Duan H; Li W; Li P; Wang L; Fan H; Wang S; Zhang L; Tian J; Huang Z; Chen C
Br J Radiol; 2020 Apr; 93(1108):20190558. PubMed ID: 31957473
[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. The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer.
Qu J; Shen C; Qin J; Wang Z; Liu Z; Guo J; Zhang H; Gao P; Bei T; Wang Y; Liu H; Kamel IR; Tian J; Li H
Eur Radiol; 2019 Feb; 29(2):906-914. PubMed ID: 30039220
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. 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]
16. Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer.
Wang X; Li C; Fang M; Zhang L; Zhong L; Dong D; Tian J; Shan X
BMC Med Imaging; 2021 Mar; 21(1):58. PubMed ID: 33757460
[TBL] [Abstract][Full Text] [Related]
17. A Multicenter Study on Preoperative Assessment of Lymphovascular Space Invasion in Early-Stage Cervical Cancer Based on Multimodal MR Radiomics.
Wu Y; Wang S; Chen Y; Liao Y; Yin X; Li T; Wang R; Luo X; Xu W; Zhou J; Wang S; Bu J; Zhang X
J Magn Reson Imaging; 2023 Nov; 58(5):1638-1648. PubMed ID: 36929220
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Using ultrasound features and radiomics analysis to predict lymph node metastasis in patients with thyroid cancer.
Li F; Pan D; He Y; Wu Y; Peng J; Li J; Wang Y; Yang H; Chen J
BMC Surg; 2020 Dec; 20(1):315. PubMed ID: 33276765
[TBL] [Abstract][Full Text] [Related]
20. Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer.
Fang J; Zhang B; Wang S; Jin Y; Wang F; Ding Y; Chen Q; Chen L; Li Y; Li M; Chen Z; Liu L; Liu Z; Tian J; Zhang S
Theranostics; 2020; 10(5):2284-2292. PubMed ID: 32089742
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
