172 related articles for article (PubMed ID: 38106556)
1. Development and validation of CT-based radiomics deep learning signatures to predict lymph node metastasis in non-functional pancreatic neuroendocrine tumors: a multicohort study.
Gu W; Chen Y; Zhu H; Chen H; Yang Z; Mo S; Zhao H; Chen L; Nakajima T; Yu X; Ji S; Gu Y; Chen J; Tang W
EClinicalMedicine; 2023 Nov; 65():102269. PubMed ID: 38106556
[TBL] [Abstract][Full Text] [Related]
2. Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.
Li J; Dong D; Fang M; Wang R; Tian J; Li H; Gao J
Eur Radiol; 2020 Apr; 30(4):2324-2333. PubMed ID: 31953668
[TBL] [Abstract][Full Text] [Related]
3. Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study.
Wang W; Liang H; Zhang Z; Xu C; Wei D; Li W; Qian Y; Zhang L; Liu J; Lei D
EClinicalMedicine; 2024 Jan; 67():102385. PubMed ID: 38261897
[TBL] [Abstract][Full Text] [Related]
4. [A nomogram for predicting lymph node metastasis in early gastric cancer].
Cui H; Cao B; Deng H; Liu GB; Liang WQ; Xie TY; Ye L; Zhang QP; Wang N; Liu FD; Wei B
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Jan; 25(1):40-47. PubMed ID: 35067033
[No Abstract] [Full Text] [Related]
5. Imbalanced Data Correction Based PET/CT Radiomics Model for Predicting Lymph Node Metastasis in Clinical Stage T1 Lung Adenocarcinoma.
Lv J; Chen X; Liu X; Du D; Lv W; Lu L; Wu H
Front Oncol; 2022; 12():788968. PubMed ID: 35155231
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning study.
Chen M; Kong C; Lin G; Chen W; Guo X; Chen Y; Cheng X; Chen M; Shi C; Xu M; Sun J; Lu C; Ji J
EClinicalMedicine; 2023 Sep; 63():102176. PubMed ID: 37662514
[TBL] [Abstract][Full Text] [Related]
7. CT-measured body composition radiomics predict lymph node metastasis in localized pancreatic ductal adenocarcinoma.
Gu Q; He M; He Y; Dai A; Liu J; Chen X; Liu P
Discov Oncol; 2023 Feb; 14(1):16. PubMed ID: 36735166
[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. A new approach to predict lymph node metastasis in solid lung adenocarcinoma: a radiomics nomogram.
Yang X; Pan X; Liu H; Gao D; He J; Liang W; Guan Y
J Thorac Dis; 2018 Apr; 10(Suppl 7):S807-S819. PubMed ID: 29780627
[TBL] [Abstract][Full Text] [Related]
10. 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]
11.
Xue XQ; Yu WJ; Shi X; Shao XL; Wang YT
Front Oncol; 2022; 12():911168. PubMed ID: 36003788
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Predictive value of preoperative peripheral blood neutrophil/lymphocyte ratio for lymph node metastasis in patients of resectable pancreatic neuroendocrine tumors: a nomogram-based study.
Tong Z; Liu L; Zheng Y; Jiang W; Zhao P; Fang W; Wang W
World J Surg Oncol; 2017 May; 15(1):108. PubMed ID: 28558772
[TBL] [Abstract][Full Text] [Related]
14. MRI radiomics signature to predict lymph node metastasis after neoadjuvant chemoradiation therapy in locally advanced rectal cancer.
Fang Z; Pu H; Chen XL; Yuan Y; Zhang F; Li H
Abdom Radiol (NY); 2023 Jul; 48(7):2270-2283. PubMed ID: 37085730
[TBL] [Abstract][Full Text] [Related]
15. CT radiomics features to predict lymph node metastasis in advanced esophageal squamous cell carcinoma and to discriminate between regional and non-regional lymph node metastasis: a case control study.
Ou J; Wu L; Li R; Wu CQ; Liu J; Chen TW; Zhang XM; Tang S; Wu YP; Yang LQ; Tan BG; Lu FL
Quant Imaging Med Surg; 2021 Feb; 11(2):628-640. PubMed ID: 33532263
[TBL] [Abstract][Full Text] [Related]
16. The development of a nomogram model for predicting left recurrent laryngeal nerve lymph node metastasis in esophageal cancer based on radiomics and clinical factors.
Huang YL; Yan C; Lin X; Chen ZP; Lin F; Feng ZP; Ke SK
Ann Transl Med; 2022 Dec; 10(23):1282. PubMed ID: 36618793
[TBL] [Abstract][Full Text] [Related]
17. [The value of spectral CT-based radiomics in preoperative prediction of lymph node metastasis of advanced gastric cancer].
Wang R; Li J; Fang MJ; Dong D; Liang P; Gao JB
Zhonghua Yi Xue Za Zhi; 2020 Jun; 100(21):1617-1622. PubMed ID: 32486595
[No Abstract] [Full Text] [Related]
18. Developing a primary tumor and lymph node 18F-FDG PET/CT-clinical (TLPC) model to predict lymph node metastasis of resectable T2-4 NSCLC.
Wang M; Liu L; Dai Q; Jin M; Huang G
J Cancer Res Clin Oncol; 2023 Jan; 149(1):247-261. PubMed ID: 36565319
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
