237 related articles for article (PubMed ID: 33314716)
1. Quantitative ultrasound radiomics in predicting recurrence for patients with node-positive head-neck squamous cell carcinoma treated with radical radiotherapy.
Dasgupta A; Fatima K; DiCenzo D; Bhardwaj D; Quiaoit K; Saifuddin M; Karam I; Poon I; Husain Z; Tran WT; Sannachi L; Czarnota GJ
Cancer Med; 2021 Apr; 10(8):2579-2589. PubMed ID: 33314716
[TBL] [Abstract][Full Text] [Related]
2. Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma.
Fatima K; Dasgupta A; DiCenzo D; Kolios C; Quiaoit K; Saifuddin M; Sandhu M; Bhardwaj D; Karam I; Poon I; Husain Z; Sannachi L; Czarnota GJ
Clin Transl Radiat Oncol; 2021 May; 28():62-70. PubMed ID: 33778174
[TBL] [Abstract][Full Text] [Related]
3. Quantitative US Delta Radiomics to Predict Radiation Response in Individuals with Head and Neck Squamous Cell Carcinoma.
Osapoetra LO; Dasgupta A; DiCenzo D; Fatima K; Quiaoit K; Saifuddin M; Karam I; Poon I; Husain Z; Tran WT; Sannachi L; Czarnota GJ
Radiol Imaging Cancer; 2024 Mar; 6(2):e230029. PubMed ID: 38391311
[TBL] [Abstract][Full Text] [Related]
4. Assessment of clinical radiosensitivity in patients with head-neck squamous cell carcinoma from pre-treatment quantitative ultrasound radiomics.
Osapoetra LO; Dasgupta A; DiCenzo D; Fatima K; Quiaoit K; Saifuddin M; Karam I; Poon I; Husain Z; Tran WT; Sannachi L; Czarnota GJ
Sci Rep; 2021 Mar; 11(1):6117. PubMed ID: 33731738
[TBL] [Abstract][Full Text] [Related]
5. Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer.
Bhardwaj D; Dasgupta A; DiCenzo D; Brade S; Fatima K; Quiaoit K; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Curpen B; Sannachi L; Czarnota GJ
Cancers (Basel); 2022 Feb; 14(5):. PubMed ID: 35267555
[TBL] [Abstract][Full Text] [Related]
6. Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning.
Gangil T; Sharan K; Rao BD; Palanisamy K; Chakrabarti B; Kadavigere R
PLoS One; 2022; 17(12):e0277168. PubMed ID: 36520945
[TBL] [Abstract][Full Text] [Related]
7. Radiomics in predicting recurrence for patients with locally advanced breast cancer using quantitative ultrasound.
Dasgupta A; Bhardwaj D; DiCenzo D; Fatima K; Osapoetra LO; Quiaoit K; Saifuddin M; Brade S; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Sadeghi-Naini A; Curpen B; Kolios MC; Sannachi L; Czarnota GJ
Oncotarget; 2021 Dec; 12(25):2437-2448. PubMed ID: 34917262
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter study.
Chen W; Lin G; Chen Y; Cheng F; Li X; Ding J; Zhong Y; Kong C; Chen M; Xia S; Lu C; Ji J
BMC Cancer; 2024 Apr; 24(1):418. PubMed ID: 38580939
[TBL] [Abstract][Full Text] [Related]
10. A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.
Kawahara D; Murakami Y; Tani S; Nagata Y
Br J Radiol; 2021 Aug; 94(1124):20210525. PubMed ID: 34235955
[TBL] [Abstract][Full Text] [Related]
11. Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional study.
DiCenzo D; Quiaoit K; Fatima K; Bhardwaj D; Sannachi L; Gangeh M; Sadeghi-Naini A; Dasgupta A; Kolios MC; Trudeau M; Gandhi S; Eisen A; Wright F; Look Hong N; Sahgal A; Stanisz G; Brezden C; Dinniwell R; Tran WT; Yang W; Curpen B; Czarnota GJ
Cancer Med; 2020 Aug; 9(16):5798-5806. PubMed ID: 32602222
[TBL] [Abstract][Full Text] [Related]
12. Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status.
Suh CH; Lee KH; Choi YJ; Chung SR; Baek JH; Lee JH; Yun J; Ham S; Kim N
Sci Rep; 2020 Oct; 10(1):17525. PubMed ID: 33067484
[TBL] [Abstract][Full Text] [Related]
13. Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy.
Martens RM; Noij DP; Koopman T; Zwezerijnen B; Heymans M; de Jong MC; Hoekstra OS; Vergeer MR; de Bree R; Leemans CR; de Graaf P; Boellaard R; Castelijns JA
Eur J Radiol; 2019 Apr; 113():39-50. PubMed ID: 30927958
[TBL] [Abstract][Full Text] [Related]
14. Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features.
Safakish A; Sannachi L; DiCenzo D; Kolios C; Pejović-Milić A; Czarnota GJ
Front Oncol; 2023; 13():1258970. PubMed ID: 37849805
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Pretreatment ADC is not a prognostic factor for local recurrences in head and neck squamous cell carcinoma when clinical T-stage is known.
Peltenburg B; Driessen JP; Vasmel JE; Pameijer FA; Janssen LM; Terhaard CHJ; de Bree R; Philippens MEP
Eur Radiol; 2020 Feb; 30(2):1228-1231. PubMed ID: 31529258
[TBL] [Abstract][Full Text] [Related]
17. Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies.
Tran WT; Suraweera H; Quiaoit K; DiCenzo D; Fatima K; Jang D; Bhardwaj D; Kolios C; Karam I; Poon I; Sannachi L; Gangeh M; Sadeghi-Naini A; Dasgupta A; Czarnota GJ
Future Sci OA; 2020 Sep; 6(9):FSO624. PubMed ID: 33235811
[TBL] [Abstract][Full Text] [Related]
18. Development and Validation of a Model Using Radiomics Features from an Apparent Diffusion Coefficient Map to Diagnose Local Tumor Recurrence in Patients Treated for Head and Neck Squamous Cell Carcinoma.
Kim M; Lee JH; Joo L; Jeong B; Kim S; Ham S; Yun J; Kim N; Chung SR; Choi YJ; Baek JH; Lee JY; Kim JH
Korean J Radiol; 2022 Nov; 23(11):1078-1088. PubMed ID: 36126954
[TBL] [Abstract][Full Text] [Related]
19. Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.
Forghani R; Chatterjee A; Reinhold C; Pérez-Lara A; Romero-Sanchez G; Ueno Y; Bayat M; Alexander JWM; Kadi L; Chankowsky J; Seuntjens J; Forghani B
Eur Radiol; 2019 Nov; 29(11):6172-6181. PubMed ID: 30980127
[TBL] [Abstract][Full Text] [Related]
20. A multi-objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancer.
Wang K; Zhou Z; Wang R; Chen L; Zhang Q; Sher D; Wang J
Med Phys; 2020 Oct; 47(10):5392-5400. PubMed ID: 32657426
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
