BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 37268876)

  • 1. Radiomics for therapy-specific head and neck squamous cell carcinoma survival prognostication (part I).
    Bernatz S; Böth I; Ackermann J; Burck I; Mahmoudi S; Lenga L; Martin SS; Scholtz JE; Koch V; Grünewald LD; Koch I; Stöver T; Wild PJ; Winkelmann R; Vogl TJ; Dos Santos DP
    BMC Med Imaging; 2023 Jun; 23(1):71. PubMed ID: 37268876
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Does Dual-Energy Computed Tomography Material Decomposition Improve Radiomics Capability to Predict Survival in Head and Neck Squamous Cell Carcinoma Patients? A Preliminary Investigation.
    Bernatz S; Böth I; Ackermann J; Burck I; Mahmoudi S; Lenga L; Martin SS; Scholtz JE; Koch V; Grünewald LD; Koch I; Stöver T; Wild PJ; Winkelmann R; Vogl TJ; Pinto Dos Santos D
    J Comput Assist Tomogr; 2024 Mar-Apr 01; 48(2):323-333. PubMed ID: 38013237
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma.
    Bogowicz M; Riesterer O; Ikenberg K; Stieb S; Moch H; Studer G; Guckenberger M; Tanadini-Lang S
    Int J Radiat Oncol Biol Phys; 2017 Nov; 99(4):921-928. PubMed ID: 28807534
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Predictive and prognostic value of CT based radiomics signature in locally advanced head and neck cancers patients treated with concurrent chemoradiotherapy or bioradiotherapy and its added value to Human Papillomavirus status.
    Ou D; Blanchard P; Rosellini S; Levy A; Nguyen F; Leijenaar RTH; Garberis I; Gorphe P; Bidault F; Ferté C; Robert C; Casiraghi O; Scoazec JY; Lambin P; Temam S; Deutsch E; Tao Y
    Oral Oncol; 2017 Aug; 71():150-155. PubMed ID: 28688683
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Outcome prediction of head and neck squamous cell carcinoma by MRI radiomic signatures.
    Mes SW; van Velden FHP; Peltenburg B; Peeters CFW; Te Beest DE; van de Wiel MA; Mekke J; Mulder DC; Martens RM; Castelijns JA; Pameijer FA; de Bree R; Boellaard R; Leemans CR; Brakenhoff RH; de Graaf P
    Eur Radiol; 2020 Nov; 30(11):6311-6321. PubMed ID: 32500196
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images.
    Sellami S; Bourbonne V; Hatt M; Tixier F; Bouzid D; Lucia F; Pradier O; Goasduff G; Visvikis D; Schick U
    Acta Oncol; 2022 Jan; 61(1):73-80. PubMed ID: 34632924
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Prediction of Human Papillomavirus Status and Overall Survival in Patients with Untreated Oropharyngeal Squamous Cell Carcinoma: Development and Validation of CT-Based Radiomics.
    Choi Y; Nam Y; Jang J; Shin NY; Ahn KJ; Kim BS; Lee YS; Kim MS
    AJNR Am J Neuroradiol; 2020 Oct; 41(10):1897-1904. PubMed ID: 32943420
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Post-radiochemotherapy PET radiomics in head and neck cancer - The influence of radiomics implementation on the reproducibility of local control tumor models.
    Bogowicz M; Leijenaar RTH; Tanadini-Lang S; Riesterer O; Pruschy M; Studer G; Unkelbach J; Guckenberger M; Konukoglu E; Lambin P
    Radiother Oncol; 2017 Dec; 125(3):385-391. PubMed ID: 29122358
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma.
    Bogowicz M; Riesterer O; Stark LS; Studer G; Unkelbach J; Guckenberger M; Tanadini-Lang S
    Acta Oncol; 2017 Nov; 56(11):1531-1536. PubMed ID: 28820287
    [TBL] [Abstract][Full Text] [Related]  

  • 15. FLT PET Radiomics for Response Prediction to Chemoradiation Therapy in Head and Neck Squamous Cell Cancer.
    Ulrich EJ; Menda Y; Boles Ponto LL; Anderson CM; Smith BJ; Sunderland JJ; Graham MM; Buatti JM; Beichel RR
    Tomography; 2019 Mar; 5(1):161-169. PubMed ID: 30854454
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning helps identifying volume-confounding effects in radiomics.
    Traverso A; Kazmierski M; Zhovannik I; Welch M; Wee L; Jaffray D; Dekker A; Hope A
    Phys Med; 2020 Mar; 71():24-30. PubMed ID: 32088562
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges.
    Bruixola G; Remacha E; Jiménez-Pastor A; Dualde D; Viala A; Montón JV; Ibarrola-Villava M; Alberich-Bayarri Á; Cervantes A
    Cancer Treat Rev; 2021 Sep; 99():102263. PubMed ID: 34343892
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.
    Stüber AT; Coors S; Schachtner B; Weber T; Rügamer D; Bender A; Mittermeier A; Öcal O; Seidensticker M; Ricke J; Bischl B; Ingrisch M
    Invest Radiol; 2023 Dec; 58(12):874-881. PubMed ID: 37504498
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics analysis of CT imaging improves preoperative prediction of cervical lymph node metastasis in laryngeal squamous cell carcinoma.
    Zhao X; Li W; Zhang J; Tian S; Zhou Y; Xu X; Hu H; Lei D; Wu F
    Eur Radiol; 2023 Feb; 33(2):1121-1131. PubMed ID: 35984515
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes.
    Huang C; Cintra M; Brennan K; Zhou M; Colevas AD; Fischbein N; Zhu S; Gevaert O
    EBioMedicine; 2019 Jul; 45():70-80. PubMed ID: 31255659
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.