208 related articles for article (PubMed ID: 34614265)
1. Computed tomography-based radiomic analysis for prediction of treatment response to salvage chemoradiotherapy for locoregional lymph node recurrence after curative esophagectomy.
Gu L; Liu Y; Guo X; Tian Y; Ye H; Zhou S; Gao F
J Appl Clin Med Phys; 2021 Nov; 22(11):71-79. PubMed ID: 34614265
[TBL] [Abstract][Full Text] [Related]
2. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
[TBL] [Abstract][Full Text] [Related]
3. CT-based radiomic signatures for prediction of pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy.
Yang Z; He B; Zhuang X; Gao X; Wang D; Li M; Lin Z; Luo R
J Radiat Res; 2019 Jul; 60(4):538-545. PubMed ID: 31111948
[TBL] [Abstract][Full Text] [Related]
4. CT radiomics features of meso-esophageal fat in predicting overall survival of patients with locally advanced esophageal squamous cell carcinoma treated by definitive chemoradiotherapy.
Yan S; Li FP; Jian L; Zhu HT; Zhao B; Li XT; Shi YJ; Sun YS
BMC Cancer; 2023 May; 23(1):477. PubMed ID: 37231388
[TBL] [Abstract][Full Text] [Related]
5. CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control study.
Ou J; Li R; Zeng R; Wu CQ; Chen Y; Chen TW; Zhang XM; Wu L; Jiang Y; Yang JQ; Cao JM; Tang S; Tang MJ; Hu J
Cancer Imaging; 2019 Oct; 19(1):66. PubMed ID: 31619297
[TBL] [Abstract][Full Text] [Related]
6. Preoperative CT radiomics of esophageal squamous cell carcinoma and lymph node to predict nodal disease with a high diagnostic capability.
Wu YP; Wu L; Ou J; Cao JM; Fu MY; Chen TW; Ouchi E; Hu J
Eur J Radiol; 2024 Jan; 170():111197. PubMed ID: 37992611
[TBL] [Abstract][Full Text] [Related]
7. The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer.
Qu J; Shen C; Qin J; Wang Z; Liu Z; Guo J; Zhang H; Gao P; Bei T; Wang Y; Liu H; Kamel IR; Tian J; Li H
Eur Radiol; 2019 Feb; 29(2):906-914. PubMed ID: 30039220
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of a radiomics-based model to predict local progression-free survival after chemo-radiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Chen YY; Huang WZ; Wu SX; Huang SF; Xu HY; Xue RL; Du ZS; Li XY; Lin LX; Huang HC
Radiat Oncol; 2021 Oct; 16(1):201. PubMed ID: 34641928
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of an [
Takahashi N; Tanaka S; Umezawa R; Takanami K; Takeda K; Yamamoto T; Suzuki Y; Katsuta Y; Kadoya N; Jingu K
Acta Oncol; 2023 Feb; 62(2):159-165. PubMed ID: 36794365
[TBL] [Abstract][Full Text] [Related]
10. Contrast-enhanced CT-based radiomic analysis for determining the response to anti-programmed death-1 therapy in esophageal squamous cell carcinoma patients: A pilot study.
Yang Q; Huang H; Zhang G; Weng N; Ou Z; Sun M; Luo H; Zhou X; Gao Y; Wu X
Thorac Cancer; 2023 Nov; 14(33):3266-3274. PubMed ID: 37743537
[TBL] [Abstract][Full Text] [Related]
11. Patterns of recurrence after surgery and efficacy of salvage therapy after recurrence in patients with thoracic esophageal squamous cell carcinoma.
Ni W; Yang J; Deng W; Xiao Z; Zhou Z; Zhang H; Chen D; Feng Q; Liang J; Lv J; Wang X; Wang X; Zhang T; Bi N; Deng L; Wang W
BMC Cancer; 2020 Feb; 20(1):144. PubMed ID: 32087687
[TBL] [Abstract][Full Text] [Related]
12. Predicting Lymph Node Metastasis Using Computed Tomography Radiomics Analysis in Patients With Resectable Esophageal Squamous Cell Carcinoma.
Zhao B; Zhu HT; Li XT; Shi YJ; Cao K; Sun YS
J Comput Assist Tomogr; 2021 Mar-Apr 01; 45(2):323-329. PubMed ID: 33512851
[TBL] [Abstract][Full Text] [Related]
13. Salvage lymphadenectomy versus salvage radiotherapy/chemoradiotherapy for recurrence in cervical lymph node after curative resection of esophageal squamous cell carcinoma.
Ma X; Zhao K; Guo W; Yang S; Zhu X; Xiang J; Zhang Y; Li H
Ann Surg Oncol; 2015 Feb; 22(2):624-9. PubMed ID: 25155397
[TBL] [Abstract][Full Text] [Related]
14. Does cervical lymph node recurrence after oesophagectomy or definitive chemoradiotherapy for thoracic oesophageal squamous cell carcinoma benefit from salvage treatment?
Yuan X; Lv J; Dong H; Wang J
Interact Cardiovasc Thorac Surg; 2017 May; 24(5):792-795. PubMed ID: 28453803
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy.
Keek S; Sanduleanu S; Wesseling F; de Roest R; van den Brekel M; van der Heijden M; Vens C; Giuseppina C; Licitra L; Scheckenbach K; Vergeer M; Leemans CR; Brakenhoff RH; Nauta I; Cavalieri S; Woodruff HC; Poli T; Leijenaar R; Hoebers F; Lambin P
PLoS One; 2020; 15(5):e0232639. PubMed ID: 32442178
[TBL] [Abstract][Full Text] [Related]
17. Cone-beam computed-tomography-based delta-radiomic analysis for investigating prognostic power for esophageal squamous cell cancer patients undergoing concurrent chemoradiotherapy.
Nakamoto T; Yamashita H; Jinnouchi H; Nawa K; Imae T; Takenaka S; Aoki A; Ohta T; Ozaki S; Nozawa Y; Nakagawa K
Phys Med; 2024 Jan; 117():103182. PubMed ID: 38086310
[TBL] [Abstract][Full Text] [Related]
18. Application of contrast-enhanced CT radiomics in prediction of early recurrence of locally advanced oesophageal squamous cell carcinoma after trimodal therapy.
Tang S; Ou J; Liu J; Wu YP; Wu CQ; Chen TW; Zhang XM; Li R; Tang MJ; Yang LQ; Tan BG; Lu FL; Hu J
Cancer Imaging; 2021 May; 21(1):38. PubMed ID: 34039403
[TBL] [Abstract][Full Text] [Related]
19. Using clinical and radiomic feature-based machine learning models to predict pathological complete response in patients with esophageal squamous cell carcinoma receiving neoadjuvant chemoradiation.
Wang J; Zhu X; Zeng J; Liu C; Shen W; Sun X; Lin Q; Fang J; Chen Q; Ji Y
Eur Radiol; 2023 Dec; 33(12):8554-8563. PubMed ID: 37439939
[TBL] [Abstract][Full Text] [Related]
20. Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy.
Cui J; Li L; Liu N; Hou W; Dong Y; Yang F; Zhu S; Li J; Yuan S
Biomark Res; 2023 Apr; 11(1):44. PubMed ID: 37095586
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]