112 related articles for article (PubMed ID: 38843660)
21. 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]
22. Radiomics Analysis of PET and CT Components of
Wang X; Lu Z
Front Oncol; 2021; 11():638124. PubMed ID: 33928029
[TBL] [Abstract][Full Text] [Related]
23. Development and validation of a [
Li M; Yao H; Zhang P; Zhang L; Liu W; Jiang Z; Li W; Zhao S; Wang K
Eur Radiol; 2023 May; 33(5):3354-3365. PubMed ID: 36547676
[TBL] [Abstract][Full Text] [Related]
24. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
Wang Y; Bai G; Huang M; Chen W
Front Oncol; 2024; 14():1308317. PubMed ID: 38549935
[TBL] [Abstract][Full Text] [Related]
25. Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study.
Mansouri Z; Salimi Y; Amini M; Hajianfar G; Oveisi M; Shiri I; Zaidi H
Radiat Oncol; 2024 Jan; 19(1):12. PubMed ID: 38254203
[TBL] [Abstract][Full Text] [Related]
26.
Xu X; Sun X; Ma L; Zhang H; Ji W; Xia X; Lan X
Front Oncol; 2023; 13():1149791. PubMed ID: 36969043
[TBL] [Abstract][Full Text] [Related]
27. Radiomics-clinical nomogram for preoperative lymph node metastasis prediction in esophageal carcinoma.
Geng X; Zhang Y; Li Y; Cai Y; Liu J; Geng T; Meng X; Hao F
Br J Radiol; 2024 Feb; 97(1155):652-659. PubMed ID: 38268475
[TBL] [Abstract][Full Text] [Related]
28. CT radiomics nomogram predicts pathological response after induced chemotherapy and overall survival in patients with advanced laryngeal cancer: A single-center retrospective study.
Kang C; Sun P; Yang R; Zhang C; Ning W; Liu H
Front Oncol; 2023; 13():1094768. PubMed ID: 37064100
[TBL] [Abstract][Full Text] [Related]
29. Radiomics and dosiomics-based prediction of radiotherapy-induced xerostomia in head and neck cancer patients.
Abdollahi H; Dehesh T; Abdalvand N; Rahmim A
Int J Radiat Biol; 2023; 99(11):1669-1683. PubMed ID: 37171485
[TBL] [Abstract][Full Text] [Related]
30. Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using
Murakami Y; Kawahara D; Tani S; Kubo K; Katsuta T; Imano N; Takeuchi Y; Nishibuchi I; Saito A; Nagata Y
Diagnostics (Basel); 2021 Jun; 11(6):. PubMed ID: 34200332
[TBL] [Abstract][Full Text] [Related]
31. A Novel Nomogram Model Based on Cone-Beam CT Radiomics Analysis Technology for Predicting Radiation Pneumonitis in Esophageal Cancer Patients Undergoing Radiotherapy.
Du F; Tang N; Cui Y; Wang W; Zhang Y; Li Z; Li J
Front Oncol; 2020; 10():596013. PubMed ID: 33392091
[TBL] [Abstract][Full Text] [Related]
32. Dosiomics and radiomics-based prediction of pneumonitis after radiotherapy and immune checkpoint inhibition: The relevance of fractionation.
Kraus KM; Oreshko M; Schnabel JA; Bernhardt D; Combs SE; Peeken JC
Lung Cancer; 2024 Mar; 189():107507. PubMed ID: 38394745
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Computed Tomography-Based Radiomics Nomogram for Predicting the Postoperative Prognosis of Esophageal Squamous Cell Carcinoma: A Multicenter Study.
Peng H; Xue T; Chen Q; Li M; Ge Y; Feng F
Acad Radiol; 2022 Nov; 29(11):1631-1640. PubMed ID: 35300908
[TBL] [Abstract][Full Text] [Related]
35. A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer.
Xie Y; Zhao H; Guo Y; Meng F; Liu X; Zhang Y; Huai X; Wong Q; Fu Y; Zhang H
Eur Radiol; 2021 Aug; 31(8):6030-6038. PubMed ID: 33560457
[TBL] [Abstract][Full Text] [Related]
36. Radiomics model based on contrast-enhanced CT texture features for pretreatment prediction of overall survival in esophageal neuroendocrine carcinoma.
Zhou Y; Song L; Xia J; Liu H; Xing J; Gao J
Front Oncol; 2023; 13():1225180. PubMed ID: 37664013
[TBL] [Abstract][Full Text] [Related]
37. The role of spleen radiomics model for predicting prognosis in esophageal squamous cell carcinoma patients receiving definitive radiotherapy.
Guo L; Liu A; Geng X; Zhao Z; Nie Y; Wang L; Liu D; Li Y; Li Y; Li D; Wang Q; Li Z; Liu X; Li M
Thorac Cancer; 2024 Apr; 15(12):947-964. PubMed ID: 38480505
[TBL] [Abstract][Full Text] [Related]
38. Development and validation of clinical-radiomics analysis for preoperative prediction of IDH mutation status and WHO grade in diffuse gliomas: a consecutive L-[methyl-11C] methionine cohort study with two PET scanners.
Zhou W; Wen J; Huang Q; Zeng Y; Zhou Z; Zhu Y; Chen L; Guan Y; Xie F; Zhuang D; Hua T
Eur J Nucl Med Mol Imaging; 2024 Apr; 51(5):1423-1435. PubMed ID: 38110710
[TBL] [Abstract][Full Text] [Related]
39. A Clinical-Radiomics Nomogram Based on Computed Tomography for Predicting Risk of Local Recurrence After Radiotherapy in Nasopharyngeal Carcinoma.
Zhu C; Huang H; Liu X; Chen H; Jiang H; Liao C; Pang Q; Dang J; Liu P; Lu H
Front Oncol; 2021; 11():637687. PubMed ID: 33816279
[No Abstract] [Full Text] [Related]
40. Prediction of lymphovascular space invasion using a combination of tenascin-C, cox-2, and PET/CT radiomics in patients with early-stage cervical squamous cell carcinoma.
BMC Cancer; ; . PubMed ID: 34320931
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
