146 related articles for article (PubMed ID: 36302938)
21. Nodal metabolic tumour volume on baseline
Alipour R; Bucknell N; Bressel M; Everitt S; MacManus M; Siva S; Hofman MS; Akhurst T; Hicks RJ; Iravani A
J Med Imaging Radiat Oncol; 2021 Oct; 65(6):748-754. PubMed ID: 34318603
[TBL] [Abstract][Full Text] [Related]
22. Adjusted CT Image-Based Radiomic Features Combined with Immune Genomic Expression Achieve Accurate Prognostic Classification and Identification of Therapeutic Targets in Stage III Colorectal Cancer.
Huang YC; Tsai YS; Li CI; Chan RH; Yeh YM; Chen PC; Shen MR; Lin PC
Cancers (Basel); 2022 Apr; 14(8):. PubMed ID: 35454802
[TBL] [Abstract][Full Text] [Related]
23. Pretreatment CT and
Rishi A; Zhang GG; Yuan Z; Sim AJ; Song EY; Moros EG; Tomaszewski MR; Latifi K; Pimiento JM; Fontaine JP; Mehta R; Harrison LB; Hoffe SE; Frakes JM
J Med Imaging Radiat Oncol; 2021 Feb; 65(1):102-111. PubMed ID: 33258556
[TBL] [Abstract][Full Text] [Related]
24. Homology-based radiomic features for prediction of the prognosis of lung cancer based on CT-based radiomics.
Kadoya N; Tanaka S; Kajikawa T; Tanabe S; Abe K; Nakajima Y; Yamamoto T; Takahashi N; Takeda K; Dobashi S; Takeda K; Nakane K; Jingu K
Med Phys; 2020 Jun; 47(5):2197-2205. PubMed ID: 32096876
[TBL] [Abstract][Full Text] [Related]
25. Survival Outcomes of Salvage Therapy for Local and Regionally Recurrent NSCLC.
Moore S; Leung B; Wu J; Ho C
JTO Clin Res Rep; 2020 Nov; 1(4):100083. PubMed ID: 34589962
[TBL] [Abstract][Full Text] [Related]
26. Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients.
Sugai Y; Kadoya N; Tanaka S; Tanabe S; Umeda M; Yamamoto T; Takeda K; Dobashi S; Ohashi H; Takeda K; Jingu K
Radiat Oncol; 2021 Apr; 16(1):80. PubMed ID: 33931085
[TBL] [Abstract][Full Text] [Related]
27. CT-based radiomics nomogram may predict local recurrence-free survival in esophageal cancer patients receiving definitive chemoradiation or radiotherapy: A multicenter study.
Gong J; Zhang W; Huang W; Liao Y; Yin Y; Shi M; Qin W; Zhao L
Radiother Oncol; 2022 Sep; 174():8-15. PubMed ID: 35750106
[TBL] [Abstract][Full Text] [Related]
28. Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features.
Wang FH; Zheng HL; Li JT; Li P; Zheng CH; Chen QY; Huang CM; Xie JW
Radiol Med; 2022 Oct; 127(10):1085-1097. PubMed ID: 36057930
[TBL] [Abstract][Full Text] [Related]
29. Outcomes of Curative-Intent Treatment for Patients With Breast Cancer Presenting With Sternal or Mediastinal Involvement.
Christopherson K; Lei X; Barcenas C; Buchholz TA; Garg N; Hoffman KE; Kuerer HM; Mittendorf E; Perkins G; Shaitelman SF; Smith GL; Stauder M; Strom EA; Tereffe W; Woodward WA; Smith BD
Int J Radiat Oncol Biol Phys; 2019 Jul; 104(3):574-581. PubMed ID: 30851348
[TBL] [Abstract][Full Text] [Related]
30. Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography.
Zhang S; Huang S; He W; Wei J; Huo L; Jia N; Lin J; Tang Z; Yuan Y; Tian J; Shen F; Li J
Ann Surg Oncol; 2022 Oct; 29(11):6786-6799. PubMed ID: 35789309
[TBL] [Abstract][Full Text] [Related]
31. Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics.
Haider SP; Sharaf K; Zeevi T; Baumeister P; Reichel C; Forghani R; Kann BH; Petukhova A; Judson BL; Prasad ML; Liu C; Burtness B; Mahajan A; Payabvash S
Transl Oncol; 2021 Jan; 14(1):100906. PubMed ID: 33075658
[TBL] [Abstract][Full Text] [Related]
32. Nomograms for Predicting Overall and Recurrence-free Survival From Pathologic Stage IA and IB Lung Cancer After Lobectomy.
Merritt RE; Abdel-Rasoul M; Fitzgerald M; D'Souza DM; Kneuertz PJ
Clin Lung Cancer; 2021 Jul; 22(4):e574-e583. PubMed ID: 33234491
[TBL] [Abstract][Full Text] [Related]
33. Machine Learning-Based CT Radiomics Analysis for Prognostic Prediction in Metastatic Non-Small Cell Lung Cancer Patients With
Tang X; Li Y; Yan WF; Qian WL; Pang T; Gong YL; Yang ZG
Front Oncol; 2021; 11():719919. PubMed ID: 34660285
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC.
Keek SA; Kayan E; Chatterjee A; Belderbos JSA; Bootsma G; van den Borne B; Dingemans AC; Gietema HA; Groen HJM; Herder J; Pitz C; Praag J; De Ruysscher D; Schoenmaekers J; Smit HJM; Stigt J; Westenend M; Zeng H; Woodruff HC; Lambin P; Hendriks L
Ther Adv Med Oncol; 2022; 14():17588359221116605. PubMed ID: 36032350
[TBL] [Abstract][Full Text] [Related]
36. Patient Outcomes With Dose Escalation Using Modern Radiotherapy Techniques: A Retrospective Review of Anal Cancer Treated at a Large Academic Institution Between 2010 and 2016.
Murchison SC; DeVries KJ; Atrchian S
Cureus; 2020 Oct; 12(10):e10989. PubMed ID: 33209545
[TBL] [Abstract][Full Text] [Related]
37. Nomograms to Predict Recurrence-Free and Overall Survival After Curative Resection of Adrenocortical Carcinoma.
Kim Y; Margonis GA; Prescott JD; Tran TB; Postlewait LM; Maithel SK; Wang TS; Evans DB; Hatzaras I; Shenoy R; Phay JE; Keplinger K; Fields RC; Jin LX; Weber SM; Salem AI; Sicklick JK; Gad S; Yopp AC; Mansour JC; Duh QY; Seiser N; Solorzano CC; Kiernan CM; Votanopoulos KI; Levine EA; Poultsides GA; Pawlik TM
JAMA Surg; 2016 Apr; 151(4):365-73. PubMed ID: 26676603
[TBL] [Abstract][Full Text] [Related]
38. Development of a Radiotherapy Localisation Computed Tomography-Based Radiomic Model for Predicting Survival in Patients With Nasopharyngeal Carcinoma Treated With Intensity-Modulated Radiotherapy Following Induction Chemotherapy.
Li X; Chen H; Zhao F; Zheng Y; Pang H; Xiang L
Cancer Control; 2022; 29():10732748221076820. PubMed ID: 35271403
[TBL] [Abstract][Full Text] [Related]
39. Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer.
Sepehri S; Tankyevych O; Upadhaya T; Visvikis D; Hatt M; Cheze Le Rest C
Diagnostics (Basel); 2021 Apr; 11(4):. PubMed ID: 33918681
[TBL] [Abstract][Full Text] [Related]
40. Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram.
Yuan C; Wang Z; Gu D; Tian J; Zhao P; Wei J; Yang X; Hao X; Dong D; He N; Sun Y; Gao W; Feng J
Cancer Imaging; 2019 Apr; 19(1):21. PubMed ID: 31027510
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
