123 related articles for article (PubMed ID: 35151550)
21. RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study.
Qian W; Li Z; Chen W; Yin H; Zhang J; Xu J; Hu C
BMC Med Imaging; 2022 Dec; 22(1):221. PubMed ID: 36528577
[TBL] [Abstract][Full Text] [Related]
22. Application of Texture and Volume Model Analysis to Dedicated Axillary High-resolution 3D T2-weighted MR Imaging: A Novel Method for Diagnosing Lymph Node Metastasis in Patients with Clinically Node-negative Breast Cancer.
Shimizu H; Mori N; Mugikura S; Maekawa Y; Miyashita M; Nagasaka T; Sato S; Takase K
Magn Reson Med Sci; 2024 Apr; 23(2):161-170. PubMed ID: 36858636
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models.
İnce O; Uysal E; Durak G; Önol S; Dönmez Yılmaz B; Ertürk ŞM; Önder H
Diagn Interv Radiol; 2023 May; 29(3):460-468. PubMed ID: 36994859
[TBL] [Abstract][Full Text] [Related]
25. Rectal cancer: can T2WI histogram of the primary tumor help predict the existence of lymph node metastasis?
Yang L; Liu D; Fang X; Wang Z; Xing Y; Ma L; Wu B
Eur Radiol; 2019 Dec; 29(12):6469-6476. PubMed ID: 31278581
[TBL] [Abstract][Full Text] [Related]
26. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
[TBL] [Abstract][Full Text] [Related]
27. Intra- and peri-tumoral MRI radiomics features for preoperative lymph node metastasis prediction in early-stage cervical cancer.
Zhang Z; Wan X; Lei X; Wu Y; Zhang J; Ai Y; Yu B; Liu X; Jin J; Xie C; Jin X
Insights Imaging; 2023 Apr; 14(1):65. PubMed ID: 37060378
[TBL] [Abstract][Full Text] [Related]
28. Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR images.
Jiao T; Li F; Cui Y; Wang X; Li B; Shi F; Xia Y; Zhou Q; Zeng Q
J Magn Reson Imaging; 2023 Nov; 58(5):1624-1635. PubMed ID: 36965182
[TBL] [Abstract][Full Text] [Related]
29. Classifying early stages of cervical cancer with MRI-based radiomics.
Zhao X; Wang X; Zhang B; Liu X; Xuan D; Xia Y; Zhang X
Magn Reson Imaging; 2022 Jun; 89():70-76. PubMed ID: 35337907
[TBL] [Abstract][Full Text] [Related]
30. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI.
Wang Z; Sun H; Li J; Chen J; Meng F; Li H; Han L; Zhou S; Yu T
J Magn Reson Imaging; 2022 Sep; 56(3):700-709. PubMed ID: 35108415
[TBL] [Abstract][Full Text] [Related]
31. [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]
32. A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.
Yao X; Huang X; Yang C; Hu A; Zhou G; Lei J; Shu J
JMIR Med Inform; 2020 Oct; 8(10):e23578. PubMed ID: 33016889
[TBL] [Abstract][Full Text] [Related]
33. Prediction of pelvic lymph node metastasis in prostate cancer using radiomics based on T
Liu X; Zhang Y; Sun Z; Wang X; Zhang X; Wang X
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1025-1036. PubMed ID: 36097770
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Evaluation of the diagnostic performance of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in differentiating between benign and metastatic lymph nodes in cases of cholangiocarcinoma.
Promsorn J; Soontrapa W; Somsap K; Chamadol N; Limpawattana P; Harisinghani M
Abdom Radiol (NY); 2019 Feb; 44(2):473-481. PubMed ID: 30151713
[TBL] [Abstract][Full Text] [Related]
36. Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer.
Wu Q; Lou J; Liu J; Dong L; Wu Q; Wu Y; Yu X; Wang M
BMC Med Imaging; 2024 Jan; 24(1):28. PubMed ID: 38279127
[TBL] [Abstract][Full Text] [Related]
37. Application and Clinical Value of Machine Learning-Based Cervical Cancer Diagnosis and Prediction Model in Adjuvant Chemotherapy for Cervical Cancer: A Single-Center, Controlled, Non-Arbitrary Size Case-Control Study.
Wang Y; Shen L; Jin J; Wang G
Contrast Media Mol Imaging; 2022; 2022():2432291. PubMed ID: 35821886
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Combining tumor size and diffusion-weighted imaging to diagnose normal-sized metastatic pelvic lymph nodes in cervical cancers.
Song J; Hu Q; Huang J; Ma Z; Chen T
Acta Radiol; 2019 Mar; 60(3):388-395. PubMed ID: 29911401
[TBL] [Abstract][Full Text] [Related]
40. Diagnostic Performance of Fused Diffusion-Weighted Imaging Using T1-Weighted Imaging for Axillary Nodal Staging in Patients With Early Breast Cancer.
Kim SH; Shin HJ; Shin KC; Chae EY; Choi WJ; Cha JH; Kim HH
Clin Breast Cancer; 2017 Apr; 17(2):154-163. PubMed ID: 27843006
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]