223 related articles for article (PubMed ID: 37663653)
1. Role of radiomics in predicting lymph node metastasis in gastric cancer: a systematic review.
Miccichè F; Rizzo G; Casà C; Leone M; Quero G; Boldrini L; Bulajic M; Corsi DC; Tondolo V
Front Med (Lausanne); 2023; 10():1189740. PubMed ID: 37663653
[TBL] [Abstract][Full Text] [Related]
2. Incremental value of PET primary lesion-based radiomics signature to conventional metabolic parameters and traditional risk factors for preoperative prediction of lymph node metastases in gastric cancer.
Xue XQ; Yu WJ; Shao XL; Wang YT
Abdom Radiol (NY); 2023 Feb; 48(2):510-518. PubMed ID: 36418614
[TBL] [Abstract][Full Text] [Related]
3.
Xue XQ; Yu WJ; Shi X; Shao XL; Wang YT
Front Oncol; 2022; 12():911168. PubMed ID: 36003788
[TBL] [Abstract][Full Text] [Related]
4. Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study.
Sun Z; Jiang Y; Chen C; Zheng H; Huang W; Xu B; Tang W; Yuan Q; Zhou K; Liang X; Chen H; Han Z; Feng H; Yu S; Hu Y; Yu J; Zhou Z; Wang W; Xu Y; Li G
Radiother Oncol; 2021 Dec; 165():179-190. PubMed ID: 34774652
[TBL] [Abstract][Full Text] [Related]
5. A new radiomics approach combining the tumor and peri-tumor regions to predict lymph node metastasis and prognosis in gastric cancer.
Yang Y; Chen H; Ji M; Wu J; Chen X; Liu F; Rao S
Gastroenterol Rep (Oxf); 2023; 7():goac080. PubMed ID: 36627981
[TBL] [Abstract][Full Text] [Related]
6. The impact of radiomics in diagnosis and staging of pancreatic cancer.
Casà C; Piras A; D'Aviero A; Preziosi F; Mariani S; Cusumano D; Romano A; Boskoski I; Lenkowicz J; Dinapoli N; Cellini F; Gambacorta MA; Valentini V; Mattiucci GC; Boldrini L
Ther Adv Gastrointest Endosc; 2022; 15():26317745221081596. PubMed ID: 35342883
[TBL] [Abstract][Full Text] [Related]
7. Diagnostic performance of CT scan-based radiomics for prediction of lymph node metastasis in gastric cancer: a systematic review and meta-analysis.
HajiEsmailPoor Z; Tabnak P; Baradaran B; Pashazadeh F; Aghebati-Maleki L
Front Oncol; 2023; 13():1185663. PubMed ID: 37936604
[TBL] [Abstract][Full Text] [Related]
8. Integrating tumor and nodal radiomics to predict lymph node metastasis in gastric cancer.
Yang J; Wu Q; Xu L; Wang Z; Su K; Liu R; Yen EA; Liu S; Qin J; Rong Y; Lu Y; Niu T
Radiother Oncol; 2020 Sep; 150():89-96. PubMed ID: 32531334
[TBL] [Abstract][Full Text] [Related]
9. A radiomics-based model for prediction of lymph node metastasis in gastric cancer.
Gao X; Ma T; Cui J; Zhang Y; Wang L; Li H; Ye Z
Eur J Radiol; 2020 Aug; 129():109069. PubMed ID: 32464581
[TBL] [Abstract][Full Text] [Related]
10. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
Gu J; Tong T; Xu D; Cheng F; Fang C; He C; Wang J; Wang B; Yang X; Wang K; Tian J; Jiang T
Cancer; 2023 Feb; 129(3):356-366. PubMed ID: 36401611
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Machine learning for lymph node metastasis prediction of in patients with gastric cancer: A systematic review and meta-analysis.
Li Y; Xie F; Xiong Q; Lei H; Feng P
Front Oncol; 2022; 12():946038. PubMed ID: 36059703
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Development and evaluation of a venous computed tomography radiomics model to predict lymph node metastasis from non-small cell lung cancer.
Cong M; Yao H; Liu H; Huang L; Shi G
Medicine (Baltimore); 2020 May; 99(18):e20074. PubMed ID: 32358390
[TBL] [Abstract][Full Text] [Related]
15. [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]
16. Ultrasound-Base Radiomics for Discerning Lymph Node Metastasis in Thyroid Cancer: A Systematic Review and Meta-analysis.
Zhang S; Liu R; Wang Y; Zhang Y; Li M; Wang Y; Wang S; Ma N; Ren J
Acad Radiol; 2024 Mar; ():. PubMed ID: 38555183
[TBL] [Abstract][Full Text] [Related]
17. Radiomics Nomogram in Assisting Lymphadenectomy Decisions by Predicting Lymph Node Metastasis in Early-Stage Endometrial Cancer.
Liu XF; Yan BC; Li Y; Ma FH; Qiang JW
Front Oncol; 2022; 12():894918. PubMed ID: 35712484
[TBL] [Abstract][Full Text] [Related]
18. Establishment of Decision Rules and Risk Assessment Model for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.
Huang C; Hu C; Zhu J; Zhang W; Huang J; Zhu Z
Front Oncol; 2020; 10():1638. PubMed ID: 32984033
[No Abstract] [Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]