183 related articles for article (PubMed ID: 38678211)
21. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
[TBL] [Abstract][Full Text] [Related]
22. A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma.
Xie H; Song C; Jian L; Guo Y; Li M; Luo J; Li Q; Tan T
BMC Med Imaging; 2024 May; 24(1):121. PubMed ID: 38789936
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer.
Zhou Y; Su GY; Hu H; Ge YQ; Si Y; Shen MP; Xu XQ; Wu FY
Eur Radiol; 2020 Nov; 30(11):6251-6262. PubMed ID: 32500193
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. 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]
27. Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model.
Wen DY; Chen JM; Tang ZP; Pang JS; Qin Q; Zhang L; He Y; Yang H
Biomed Eng Online; 2024 Jun; 23(1):56. PubMed ID: 38890695
[TBL] [Abstract][Full Text] [Related]
28. Prediction of pathological nodal involvement by CT-based Radiomic features of the primary tumor in patients with clinically node-negative peripheral lung adenocarcinomas.
Liu Y; Kim J; Balagurunathan Y; Hawkins S; Stringfield O; Schabath MB; Li Q; Qu F; Liu S; Garcia AL; Ye Z; Gillies RJ
Med Phys; 2018 Jun; 45(6):2518-2526. PubMed ID: 29624702
[TBL] [Abstract][Full Text] [Related]
29. Radiomics for differentiating tumor deposits from lymph node metastasis in rectal cancer.
Zhang YC; Li M; Jin YM; Xu JX; Huang CC; Song B
World J Gastroenterol; 2022 Aug; 28(29):3960-3970. PubMed ID: 36157536
[TBL] [Abstract][Full Text] [Related]
30. Diagnostic utility of metabolic parameters on FDG PET/CT for lymph node metastasis in patients with cN2 non-small cell lung cancer.
Nakanishi K; Nakamura S; Sugiyama T; Kadomatsu Y; Ueno H; Goto M; Ozeki N; Fukui T; Iwano S; Chen-Yoshikawa TF
BMC Cancer; 2021 Sep; 21(1):983. PubMed ID: 34474680
[TBL] [Abstract][Full Text] [Related]
31. Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.
Coroller TP; Agrawal V; Huynh E; Narayan V; Lee SW; Mak RH; Aerts HJWL
J Thorac Oncol; 2017 Mar; 12(3):467-476. PubMed ID: 27903462
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Nomogram Based on Shear-Wave Elastography Radiomics Can Improve Preoperative Cervical Lymph Node Staging for Papillary Thyroid Carcinoma.
Jiang M; Li C; Tang S; Lv W; Yi A; Wang B; Yu S; Cui X; Dietrich CF
Thyroid; 2020 Jun; 30(6):885-897. PubMed ID: 32027225
[No Abstract] [Full Text] [Related]
34. 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]
35. Dual-Region Computed Tomography Radiomics-Based Machine Learning Predicts Subcarinal Lymph Node Metastasis in Patients with Non-small Cell Lung Cancer.
Yan HJ; Zhao JS; Zuo HD; Zhang JJ; Deng ZQ; Yang C; Luo X; Wan JX; Zheng XY; Chen WY; Li SP; Tian D
Ann Surg Oncol; 2024 Mar; ():. PubMed ID: 38520581
[TBL] [Abstract][Full Text] [Related]
36. Incidence rate of occult lymph node metastasis in clinical T
Jiang X; Luo C; Peng X; Zhang J; Yang L; Liu LZ; Cui YF; Liu MW; Miao L; Jiang JM; Ren JL; Yang XT; Li M; Zhang L
Respir Res; 2024 May; 25(1):226. PubMed ID: 38811960
[TBL] [Abstract][Full Text] [Related]
37. A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma.
Wen Q; Wang Z; Traverso A; Liu Y; Xu R; Feng Y; Qian L
Front Endocrinol (Lausanne); 2022; 13():1064434. PubMed ID: 36531493
[TBL] [Abstract][Full Text] [Related]
38. Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.
Ma X; Xia L; Chen J; Wan W; Zhou W
Eur Radiol; 2023 Mar; 33(3):1949-1962. PubMed ID: 36169691
[TBL] [Abstract][Full Text] [Related]
39. Preoperative MR radiomics based on high-resolution T2-weighted images and amide proton transfer-weighted imaging for predicting lymph node metastasis in rectal adenocarcinoma.
Wei Q; Yuan W; Jia Z; Chen J; Li L; Yan Z; Liao Y; Mao L; Hu S; Liu X; Chen W
Abdom Radiol (NY); 2023 Feb; 48(2):458-470. PubMed ID: 36460837
[TBL] [Abstract][Full Text] [Related]
40. The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma.
Yuan H; Xu X; Tu S; Chen B; Wei Y; Ma Y
BMC Gastroenterol; 2022 Nov; 22(1):463. PubMed ID: 36384504
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
