211 related articles for article (PubMed ID: 36528577)
21. Whole-Lesion Apparent Diffusion Coefficient Histogram Analysis for Assessing Normal-Sized Lymph Node Metastasis in Cervical Cancer: Comparison Between Readout-Segmented and Single-Shot Echo-Planar Diffusion-Weighted Imaging.
Qian W; Chen Q; Hu C
J Comput Assist Tomogr; 2023 Jul-Aug 01; 47(4):554-560. PubMed ID: 37380155
[TBL] [Abstract][Full Text] [Related]
22. Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer.
Wu Q; Wang S; Zhang S; Wang M; Ding Y; Fang J; Wu Q; Qian W; Liu Z; Sun K; Jin Y; Ma H; Tian J
JAMA Netw Open; 2020 Jul; 3(7):e2011625. PubMed ID: 32706384
[TBL] [Abstract][Full Text] [Related]
23. A preoperative nomogram predicting risk of lymph node metastasis for early-stage cervical cancer.
Deng YR; Chen XJ; Xu CQ; Wu QZ; Zhang W; Guo SQ; Li LX
BMC Womens Health; 2023 Nov; 23(1):568. PubMed ID: 37924031
[TBL] [Abstract][Full Text] [Related]
24. Computed Tomography-Based Deep Learning Nomogram Can Accurately Predict Lymph Node Metastasis in Gastric Cancer.
Guan X; Lu N; Zhang J
Dig Dis Sci; 2023 Apr; 68(4):1473-1481. PubMed ID: 35909203
[TBL] [Abstract][Full Text] [Related]
25. Feasibility of Predicting Pelvic Lymph Node Metastasis Based on IVIM-DWI and Texture Parameters of the Primary Lesion and Lymph Nodes in Patients with Cervical Cancer.
Zhang Y; Zhang KY; Jia HD; Fang X; Lin TT; Wei C; Qian LT; Dong JN
Acad Radiol; 2022 Jul; 29(7):1048-1057. PubMed ID: 34654623
[TBL] [Abstract][Full Text] [Related]
26. A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.
Ding L; Liu G; Zhang X; Liu S; Li S; Zhang Z; Guo Y; Lu Y
Cancer Med; 2020 Dec; 9(23):8809-8820. PubMed ID: 32997900
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Radiomics from Primary Tumor on Dual-Energy CT Derived Iodine Maps can Predict Cervical Lymph Node Metastasis in Papillary Thyroid Cancer.
Zhou Y; Su GY; Hu H; Tao XW; Ge YQ; Si Y; Shen MP; Xu XQ; Wu FY
Acad Radiol; 2022 Mar; 29 Suppl 3():S222-S231. PubMed ID: 34366279
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Tumor Size at Magnetic Resonance Imaging Association With Lymph Node Metastasis and Lymphovascular Space Invasion in Resectable Cervical Cancer: A Multicenter Evaluation of Surgical Specimens.
Chen XL; Chen GW; Xu GH; Ren J; Li ZL; Pu H; Li H
Int J Gynecol Cancer; 2018 Oct; 28(8):1545-1552. PubMed ID: 30044321
[TBL] [Abstract][Full Text] [Related]
31. Histogram analysis of diffusion-weighted magnetic resonance imaging as a biomarker to predict LNM in T3 stage rectal carcinoma.
Zhou Y; Yang R; Wang Y; Zhou M; Zhou X; Xing J; Wang X; Zhang C
BMC Med Imaging; 2021 Nov; 21(1):176. PubMed ID: 34809615
[TBL] [Abstract][Full Text] [Related]
32. A deep learning and radiomics fusion model based on contrast-enhanced computer tomography improves preoperative identification of cervical lymph node metastasis of oral squamous cell carcinoma.
Chen Z; Yu Y; Liu S; Du W; Hu L; Wang C; Li J; Liu J; Zhang W; Peng X
Clin Oral Investig; 2023 Dec; 28(1):39. PubMed ID: 38151672
[TBL] [Abstract][Full Text] [Related]
33. [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]
34. Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer.
Chen Y; Wang L; Dong X; Luo R; Ge Y; Liu H; Zhang Y; Wang D
J Digit Imaging; 2023 Aug; 36(4):1323-1331. PubMed ID: 36973631
[TBL] [Abstract][Full Text] [Related]
35. Application of apparent diffusion coefficient values derived from diffusion-weighted imaging for assessing different sized metastatic lymph nodes in cervical cancers.
Zhang A; Song J; Ma Z; Chen T
Acta Radiol; 2020 Jun; 61(6):848-855. PubMed ID: 31615267
[TBL] [Abstract][Full Text] [Related]
36. Correlation Between Squamous Cell Carcinoma Antigen Level and the Clinicopathological Features of Early-Stage Cervical Squamous Cell Carcinoma and the Predictive Value of Squamous Cell Carcinoma Antigen Combined With Computed Tomography Scan for Lymph Node Metastasis.
Xu D; Wang D; Wang S; Tian Y; Long Z; Ren X
Int J Gynecol Cancer; 2017 Nov; 27(9):1935-1942. PubMed ID: 28914639
[TBL] [Abstract][Full Text] [Related]
37. Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study.
Tong Y; Zhang J; Wei Y; Yu J; Zhan W; Xia H; Zhou S; Wang Y; Chang C
BMC Med Imaging; 2022 May; 22(1):82. PubMed ID: 35501717
[TBL] [Abstract][Full Text] [Related]
38. Value of MRI and diffusion-weighted imaging in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer.
Song Q; Yu Y; Zhang X; Zhu Y; Luo Y; Yu T; Sun J; Liu F; Dong Y
Br J Radiol; 2022 Sep; 95(1138):20200203. PubMed ID: 33095657
[TBL] [Abstract][Full Text] [Related]
39. Computer-aided diagnostic models to classify lymph node metastasis and lymphoma involvement in enlarged cervical lymph nodes using PET/CT.
Yang Y; Zheng B; Li Y; Li Y; Ma X
Med Phys; 2023 Jan; 50(1):152-162. PubMed ID: 35925871
[TBL] [Abstract][Full Text] [Related]
40. Ultrasound-Based Radiomic Nomogram for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.
Tong Y; Li J; Huang Y; Zhou J; Liu T; Guo Y; Yu J; Zhou S; Wang Y; Chang C
Acad Radiol; 2021 Dec; 28(12):1675-1684. PubMed ID: 32782219
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]