BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 37540237)

  • 1. Error mitigation enables PET radiomic cancer characterization on quantum computers.
    Moradi S; Spielvogel C; Krajnc D; Brandner C; Hillmich S; Wille R; Traub-Weidinger T; Li X; Hacker M; Drexler W; Papp L
    Eur J Nucl Med Mol Imaging; 2023 Nov; 50(13):3826-3837. PubMed ID: 37540237
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.
    Grahovac M; Spielvogel CP; Krajnc D; Ecsedi B; Traub-Weidinger T; Rasul S; Kluge K; Zhao M; Li X; Hacker M; Haug A; Papp L
    Eur J Nucl Med Mol Imaging; 2023 May; 50(6):1607-1620. PubMed ID: 36738311
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Role of [
    Ghezzo S; Mapelli P; Bezzi C; Samanes Gajate AM; Brembilla G; Gotuzzo I; Russo T; Preza E; Cucchiara V; Ahmed N; Neri I; Mongardi S; Freschi M; Briganti A; De Cobelli F; Gianolli L; Scifo P; Picchio M
    Eur J Nucl Med Mol Imaging; 2023 Jul; 50(8):2548-2560. PubMed ID: 36933074
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
    Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
    Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A common [18F]-FDG PET radiomic signature to predict survival in patients with HPV-induced cancers.
    Niyoteka S; Seban RD; Rouhi R; Scarsbrook A; Genestie C; Classe M; Carré A; Sun R; La Greca Saint-Esteven A; Chargari C; McKenna J; McDermott G; Malinen E; Tanadini-Lang S; Guckenberger M; Guren MG; Lemanski C; Deutsch E; Robert C
    Eur J Nucl Med Mol Imaging; 2023 Nov; 50(13):4010-4023. PubMed ID: 37632562
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust, independent and relevant prognostic 18F-fluorodeoxyglucose positron emission tomography radiomics features in non-small cell lung cancer: Are there any?
    Konert T; Everitt S; La Fontaine MD; van de Kamer JB; MacManus MP; Vogel WV; Callahan J; Sonke JJ
    PLoS One; 2020; 15(2):e0228793. PubMed ID: 32097418
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of 18 F-fluorodeoxyglucose PET/CT radiomic features and machine learning to predict early recurrence of non-small cell lung cancer after curative-intent therapy.
    Park SB; Kim KU; Park YW; Hwang JH; Lim CH
    Nucl Med Commun; 2023 Feb; 44(2):161-168. PubMed ID: 36458424
    [TBL] [Abstract][Full Text] [Related]  

  • 8. More advantages in detecting bone and soft tissue metastases from prostate cancer using
    Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
    Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Plausibility and redundancy analysis to select FDG-PET textural features in non-small cell lung cancer.
    Pfaehler E; Mesotten L; Zhovannik I; Pieplenbosch S; Thomeer M; Vanhove K; Adriaensens P; Boellaard R
    Med Phys; 2021 Mar; 48(3):1226-1238. PubMed ID: 33368399
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The "digital biopsy" in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT.
    Monaco L; De Bernardi E; Bono F; Cortinovis D; Crivellaro C; Elisei F; L'Imperio V; Landoni C; Mathoux G; Musarra M; Pagni F; Turolla EA; Messa C; Guerra L
    Eur J Nucl Med Mol Imaging; 2022 Aug; 49(10):3401-3411. PubMed ID: 35403860
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Utility of pre-treatment FDG PET/CT-derived machine learning models for outcome prediction in classical Hodgkin lymphoma.
    Frood R; Clark M; Burton C; Tsoumpas C; Frangi AF; Gleeson F; Patel C; Scarsbrook A
    Eur Radiol; 2022 Oct; 32(10):7237-7247. PubMed ID: 36006428
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status.
    Liu Z; Zhang T; Lin L; Long F; Guo H; Han L
    Biomed Eng Online; 2023 Feb; 22(1):17. PubMed ID: 36810090
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting pathological highly invasive lung cancer from preoperative [
    Onozato Y; Iwata T; Uematsu Y; Shimizu D; Yamamoto T; Matsui Y; Ogawa K; Kuyama J; Sakairi Y; Kawakami E; Iizasa T; Yoshino I
    Eur J Nucl Med Mol Imaging; 2023 Feb; 50(3):715-726. PubMed ID: 36385219
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma.
    Zhao M; Kluge K; Papp L; Grahovac M; Yang S; Jiang C; Krajnc D; Spielvogel CP; Ecsedi B; Haug A; Wang S; Hacker M; Zhang W; Li X
    Eur Radiol; 2022 Oct; 32(10):7056-7067. PubMed ID: 35896836
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pretherapy 18F-fluorodeoxyglucose positron emission tomography/computed tomography robust radiomic features predict overall survival in non-small cell lung cancer.
    Mostafa R; Abdelsamie Kandeel A; Abd Elkareem M; Nardo L; Abdelhafez YG
    Nucl Med Commun; 2022 May; 43(5):540-548. PubMed ID: 35190518
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomic analysis for predicting prognosis of colorectal cancer from preoperative
    Lv L; Xin B; Hao Y; Yang Z; Xu J; Wang L; Wang X; Song S; Guo X
    J Transl Med; 2022 Feb; 20(1):66. PubMed ID: 35109864
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Use of radiomics based on
    Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
    Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pretreatment
    Dissaux G; Visvikis D; Da-Ano R; Pradier O; Chajon E; Barillot I; Duvergé L; Masson I; Abgral R; Santiago Ribeiro MJ; Devillers A; Pallardy A; Fleury V; Mahé MA; De Crevoisier R; Hatt M; Schick U
    J Nucl Med; 2020 Jun; 61(6):814-820. PubMed ID: 31732678
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pre-treatment
    Ahn HK; Lee H; Kim SG; Hyun SH
    Clin Radiol; 2019 Jun; 74(6):467-473. PubMed ID: 30898382
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Usefulness of Machine Learning-Based Evaluation of Clinical and Pretreatment [
    Nakajo M; Kawaji K; Nagano H; Jinguji M; Mukai A; Kawabata H; Tani A; Hirahara D; Yamashita M; Yoshiura T
    Mol Imaging Biol; 2023 Apr; 25(2):303-313. PubMed ID: 35864282
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.