BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 36625882)

  • 1. Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation.
    Weikert T; Jaeger PF; Yang S; Baumgartner M; Breit HC; Winkel DJ; Sommer G; Stieltjes B; Thaiss W; Bremerich J; Maier-Hein KH; Sauter AW
    Eur Radiol; 2023 Jun; 33(6):4270-4279. PubMed ID: 36625882
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Automatic detection of primary and metastatic lesions on cervicothoracic region and whole-body bone using a uniform machine-learnable approach for [18F]-FDG-PET/CT image analysis.
    Nemoto M; Tanaka A; Kaida H; Kimura Y; Nagaoka T; Yamada T; Hanaoka K; Kitajima K; Tsuchitani T; Ishii K
    Phys Med Biol; 2022 Sep; 67(19):. PubMed ID: 36096113
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 18F-FDG PET/CT and whole-body MRI diagnostic performance in M staging for non-small cell lung cancer: a systematic review and meta-analysis.
    Machado Medeiros T; Altmayer S; Watte G; Zanon M; Basso Dias A; Henz Concatto N; Hoefel Paes J; Mattiello R; de Souza Santos F; Mohammed TL; Verma N; Hochhegger B
    Eur Radiol; 2020 Jul; 30(7):3641-3649. PubMed ID: 32125513
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of an AI-Powered Lung Nodule Algorithm for Detection and 3D Segmentation of Primary Lung Tumors.
    Weikert T; Akinci D'Antonoli T; Bremerich J; Stieltjes B; Sommer G; Sauter AW
    Contrast Media Mol Imaging; 2019; 2019():1545747. PubMed ID: 31354393
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of whole-body 18F-FDG PET/CT and PET/MRI for distant metastases in patients with malignant tumors: a meta-analysis.
    Zhang C; Liang Z; Liu W; Zeng X; Mo Y
    BMC Cancer; 2023 Jan; 23(1):37. PubMed ID: 36624425
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients.
    Wallis D; Soussan M; Lacroix M; Akl P; Duboucher C; Buvat I
    Eur J Nucl Med Mol Imaging; 2022 Feb; 49(3):881-888. PubMed ID: 34519888
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer-aided detection and segmentation of malignant melanoma lesions on whole-body
    Dirks I; Keyaerts M; Neyns B; Vandemeulebroucke J
    Comput Methods Programs Biomed; 2022 Jun; 221():106902. PubMed ID: 35636357
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clinical value of F18-fluorodeoxyglucose positron emission tomography-computed tomography in patients with non-small cell lung cancer after potentially curative surgery: experience with 241 patients.
    Kanzaki R; Higashiyama M; Maeda J; Okami J; Hosoki T; Hasegawa Y; Takami M; Kodama K
    Interact Cardiovasc Thorac Surg; 2010 Jun; 10(6):1009-14. PubMed ID: 20197344
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diagnostic performance of
    Ishiguchi H; Ito S; Kato K; Sakurai Y; Kawai H; Fujita N; Abe S; Narita A; Nishio N; Muramatsu H; Takahashi Y; Naganawa S
    Ann Nucl Med; 2018 Jun; 32(5):348-362. PubMed ID: 29667143
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [The application of 18F-fluorodeoxyglucose positron emission tomography in the diagnosis and staging of lung cancer].
    Xu HF; Liu Y; Zhang JH; Zhou RS; Zhou FH; Yuan MH
    Zhonghua Jie He He Hu Xi Za Zhi; 2005 Feb; 28(2):108-11. PubMed ID: 15854393
    [TBL] [Abstract][Full Text] [Related]  

  • 12. What is the diagnostic performance of 18-FDG-PET/MR compared to PET/CT for the N- and M- staging of breast cancer?
    Botsikas D; Bagetakos I; Picarra M; Da Cunha Afonso Barisits AC; Boudabbous S; Montet X; Lam GT; Mainta I; Kalovidouri A; Becker M
    Eur Radiol; 2019 Apr; 29(4):1787-1798. PubMed ID: 30267154
    [TBL] [Abstract][Full Text] [Related]  

  • 13.
    Sibille L; Seifert R; Avramovic N; Vehren T; Spottiswoode B; Zuehlsdorff S; Schäfers M
    Radiology; 2020 Feb; 294(2):445-452. PubMed ID: 31821122
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detection of distant interval metastases after neoadjuvant therapy for esophageal cancer with 18F-FDG PET(/CT): a systematic review and meta-analysis.
    Kroese TE; Goense L; van Hillegersberg R; de Keizer B; Mook S; Ruurda JP; van Rossum PSN
    Dis Esophagus; 2018 Dec; 31(12):. PubMed ID: 29917073
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Chest radiography or chest CT plus head and neck CT versus
    Kim Y; Roh JL; Kim JS; Lee JH; Choi SH; Nam SY; Kim SY
    Oral Oncol; 2019 Jan; 88():109-114. PubMed ID: 30616780
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions.
    Giri MG; Cavedon C; Mazzarotto R; Ferdeghini M
    Med Phys; 2016 May; 43(5):2491. PubMed ID: 27147360
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Is combined 18F-fluorodeoxyglucose-positron emission tomography/computed tomography superior to positron emission tomography or computed tomography alone for diagnosis, staging and restaging of pancreatic lesions?
    Casneuf V; Delrue L; Kelles A; Van Damme N; Van Huysse J; Berrevoet F; De Vos M; Duyck P; Peeters M
    Acta Gastroenterol Belg; 2007; 70(4):331-8. PubMed ID: 18330088
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
    Xu Y; Klyuzhin I; Harsini S; Ortiz A; Zhang S; Bénard F; Dodhia R; Uribe CF; Rahmim A; Lavista Ferres J
    Comput Biol Med; 2023 May; 158():106882. PubMed ID: 37037147
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PET/CT features discriminate risk of metastasis among single-bone FDG lesions detected in newly diagnosed non-small-cell lung cancer patients.
    Lim CH; Ahn TR; Moon SH; Cho YS; Choi JY; Kim BT; Lee KH
    Eur Radiol; 2019 Apr; 29(4):1903-1911. PubMed ID: 30315418
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The benefit of functional-anatomical imaging with [18F]fluorodeoxyglucose utilizing a dual-head coincidence gamma camera with an integrated X-ray transmission system in non-small cell lung cancer.
    Eschmann SM; Bitzer M; Paulsen F; Friedel G; Besenfelder H; Horger M; Reimold M; Dittmann H; Pfannenberg AC; Bares R
    Nucl Med Commun; 2004 Sep; 25(9):909-15. PubMed ID: 15319596
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.