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By B. S. Kamps et al.


  Prostate Cancer

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Articles published in Cancer Imaging

Retrieve available abstracts of 30 articles:
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Single Articles


    February 2024
  1. YAZDANI E, Karamzadeh-Ziarati N, Cheshmi SS, Sadeghi M, et al
    Automated segmentation of lesions and organs at risk on [(68)Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR.
    Cancer Imaging. 2024;24:30.
    PubMed     Abstract available


  2. ROSAR F, Burgard C, Larsen E, Khreish F, et al
    [(89)Zr]Zr-PSMA-617 PET/CT characterization of indeterminate [(68)Ga]Ga-PSMA-11 PET/CT findings in patients with biochemical recurrence of prostate cancer: lesion-based analysis.
    Cancer Imaging. 2024;24:27.
    PubMed     Abstract available


  3. GUERRA A, Orton MR, Wang H, Konidari M, et al
    Clinical application of machine learning models in patients with prostate cancer before prostatectomy.
    Cancer Imaging. 2024;24:24.
    PubMed     Abstract available


  4. HU C, Qiao X, Hu C, Cao C, et al
    The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy.
    Cancer Imaging. 2024;24:23.
    PubMed     Abstract available


    January 2024
  5. MA Y, Gao F
    Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers.
    Cancer Imaging. 2024;24:19.
    PubMed     Abstract available


    December 2023
  6. DONNERS R, Figueiredo I, Westaby D, Koh DM, et al
    Multiparametric bone MRI targeting aides lesion selection for CT-guided sclerotic bone biopsies in metastatic castrate resistant prostate cancer.
    Cancer Imaging. 2023;23:121.
    PubMed     Abstract available


    November 2023
  7. PENG Q, Xu L, Zhang G, Zhang D, et al
    Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy.
    Cancer Imaging. 2023;23:113.
    PubMed     Abstract available


  8. LUO L, Zheng A, Chang R, Li Y, et al
    Evaluating the value of (18)F-PSMA-1007 PET/CT in the detection and identification of prostate cancer using histopathology as the standard.
    Cancer Imaging. 2023;23:108.
    PubMed     Abstract available


    September 2023
  9. HU B, Zhang H, Zhang Y, Jin Y, et al
    A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naive patients.
    Cancer Imaging. 2023;23:82.
    PubMed     Abstract available


  10. YANG J, Li J, Xiao L, Zhou M, et al
    (68)Ga-PSMA PET/CT-based multivariate model for highly accurate and noninvasive diagnosis of clinically significant prostate cancer in the PSA gray zone.
    Cancer Imaging. 2023;23:81.
    PubMed     Abstract available


    August 2023
  11. YU W, Zhao M, Deng Y, Liu S, et al
    Meta-analysis of (18) F-PSMA-1007 PET/CT, (18) F-FDG PET/CT, and (68)Ga-PSMA PET/CT in diagnostic efficacy of prostate Cancer.
    Cancer Imaging. 2023;23:77.
    PubMed     Abstract available


    June 2023
  12. TREMBLAY S, Alhogbani M, Weickhardt A, Davis ID, et al
    Influence of molecular imaging on patient selection for treatment intensification prior to salvage radiation therapy for prostate cancer: a post hoc analysis of the PROPS trial.
    Cancer Imaging. 2023;23:57.
    PubMed     Abstract available


    April 2023
  13. GUERRA A, Alves FC, Maes K, Joniau S, et al
    Correction: Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features.
    Cancer Imaging. 2023;23:32.
    PubMed    


    March 2023
  14. HARSINI S, Wilson D, Saprunoff H, Allan H, et al
    Outcome of patients with biochemical recurrence of prostate cancer after PSMA PET/CT-directed radiotherapy or surgery without systemic therapy.
    Cancer Imaging. 2023;23:27.
    PubMed     Abstract available


    January 2023
  15. LIU X, Zhu Z, Wang K, Zhang Y, et al
    Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines.
    Cancer Imaging. 2023;23:7.
    PubMed     Abstract available


  16. HU L, Fu C, Song X, Grimm R, et al
    Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique.
    Cancer Imaging. 2023;23:6.
    PubMed     Abstract available


  17. LIU LL, Zhu LL, Lu ZG, Sun JD, et al
    Variability of radiotherapy volume delineation: PSMA PET/MRI and MRI based clinical target volume and lymph node target volume for high-risk prostate cancer.
    Cancer Imaging. 2023;23:1.
    PubMed     Abstract available


    December 2022
  18. WEI X, Zhu L, Zeng Y, Xue K, et al
    Detection of prostate cancer using diffusion-relaxation correlation spectrum imaging with support vector machine model - a feasibility study.
    Cancer Imaging. 2022;22:77.
    PubMed     Abstract available


  19. GUERRA A, Alves FC, Maes K, Joniau S, et al
    Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features.
    Cancer Imaging. 2022;22:74.
    PubMed     Abstract available


  20. REYNOLDS HM, Tadimalla S, Wang YF, Montazerolghaem M, et al
    Semi-quantitative and quantitative dynamic contrast-enhanced (DCE) MRI parameters as prostate cancer imaging biomarkers for biologically targeted radiation therapy.
    Cancer Imaging. 2022;22:71.
    PubMed     Abstract available


    October 2022
  21. ZHANG X, Hong H, Liang D
    The combined value of mpUS and mpMRI-TRUS fusion for the diagnosis of clinically significant prostate cancer.
    Cancer Imaging. 2022;22:60.
    PubMed     Abstract available


    September 2022
  22. GLEMSER PA, Rotkopf LT, Ziener CH, Beuthien-Baumann B, et al
    Hybrid imaging with [(68)Ga]PSMA-11 PET-CT and PET-MRI in biochemically recurrent prostate cancer.
    Cancer Imaging. 2022;22:53.
    PubMed     Abstract available


  23. DUAN H, Iagaru A
    The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer.
    Cancer Imaging. 2022;22:45.
    PubMed     Abstract available


    July 2022
  24. ZHANG YN, Lu ZG, Wang SD, Lu X, et al
    Gross tumor volume delineation in primary prostate cancer on (18)F-PSMA-1007 PET/MRI and (68)Ga-PSMA-11 PET/MRI.
    Cancer Imaging. 2022;22:36.
    PubMed     Abstract available


  25. RUCHALSKI K, Kim HJ, Douek M, Raman S, et al
    Pretreatment visceral metastases in castration resistant metastatic prostate cancer: role in prediction versus actual site of disease progression.
    Cancer Imaging. 2022;22:34.
    PubMed     Abstract available


    April 2022
  26. CHEN Z, Chen X, Wang R
    Application of SPECT and PET / CT with computer-aided diagnosis in bone metastasis of prostate cancer: a review.
    Cancer Imaging. 2022;22:18.
    PubMed     Abstract available


    March 2022
  27. LEWIS S, Ganti A, Argiriadi P, Rosen A, et al
    Prostate MRI using a rigid two-channel phased-array endorectal coil: comparison with phased array coil acquisition at 3 T.
    Cancer Imaging. 2022;22:15.
    PubMed     Abstract available


    September 2021
  28. XING P, Chen L, Yang Q, Song T, et al
    Differentiating prostate cancer from benign prostatic hyperplasia using whole-lesion histogram and texture analysis of diffusion- and T2-weighted imaging.
    Cancer Imaging. 2021;21:54.
    PubMed     Abstract available


    July 2021
  29. HE D, Wang X, Fu C, Wei X, et al
    MRI-based radiomics models to assess prostate cancer, extracapsular extension and positive surgical margins.
    Cancer Imaging. 2021;21:46.
    PubMed     Abstract available


    April 2021
  30. OSMAN MM, Iravani A, Hofman MS, Hicks RJ, et al
    Intra-patient comparison of physiologic (68)Ga-PSMA-11 and (18)F-DCFPyL PET/CT uptake in ganglia in prostate cancer patients: a pictorial essay.
    Cancer Imaging. 2021;21:35.
    PubMed     Abstract available


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