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  Prostate Cancer

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Articles published in Cancer Imaging

Retrieve available abstracts of 33 articles:
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Single Articles


    September 2025
  1. MIN K, Lin Q, Qiu D
    Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers.
    Cancer Imaging. 2025;25:116.
    PubMed     Abstract available


    August 2025
  2. A GLEMSER P, Netzer N, H Ziener C, Wilhelm M, et al
    Improving risk stratification of PI-RADS 3 + 1 lesions of the peripheral zone: expert lexicon of terms, multi-reader performance and contribution of artificial intelligence.
    Cancer Imaging. 2025;25:102.
    PubMed     Abstract available


  3. YAO F, Lin H, Xue YN, Zhuang YD, et al
    Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT.
    Cancer Imaging. 2025;25:103.
    PubMed     Abstract available


    July 2025
  4. CHEN R, Li Y, Liang D, Liu J, et al
    PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy.
    Cancer Imaging. 2025;25:93.
    PubMed     Abstract available


  5. ZAMANIAN A, Rousseau E, Buteau FA, Arsenault F, et al
    The tumour sink effect on (68)Ga-PSMA-PET/CT in metastatic castration-resistant prostate cancer and its implications for PSMA-RPT: a sub-analysis of the 3TMPO study.
    Cancer Imaging. 2025;25:91.
    PubMed     Abstract available


  6. KORN SM, Qian Z, Zurl H, Hansen N, et al
    Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study.
    Cancer Imaging. 2025;25:86.
    PubMed     Abstract available


  7. YANG L, Jin P, Wang X, Li Z, et al
    Development and validation of a novel clinical-radiological-pathological scoring system for preoperative prediction of extraprostatic extension in prostate cancer: a multicenter retrospective study.
    Cancer Imaging. 2025;25:83.
    PubMed     Abstract available


    June 2025
  8. BIAN L, Liu F, Peng Y, Liu X, et al
    Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system.
    Cancer Imaging. 2025;25:77.
    PubMed     Abstract available


    April 2025
  9. MOAVENZADEH SR, Chan DY, Adams ES, Deivasigamani S, et al
    Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI.
    Cancer Imaging. 2025;25:55.
    PubMed     Abstract available


  10. ZEDAN AH, Gade JS, Zieger KEA, Poulsen MH, et al
    Cabazitaxel-induced ureteritis in metastatic castration-resistant prostate cancer patients: a single center case series 2014-2024.
    Cancer Imaging. 2025;25:54.
    PubMed     Abstract available


    March 2025
  11. SUN Z, Wu P, Zhao T, Gao G, et al
    Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study.
    Cancer Imaging. 2025;25:37.
    PubMed     Abstract available


  12. POROES F, Karampa P, Sartoretti T, Najberg H, et al
    Additional findings in prostate MRI.
    Cancer Imaging. 2025;25:29.
    PubMed     Abstract available


    January 2025
  13. HUANG X, Ye H, Hu Y, Lei Y, et al
    Ultrasound super-resolution imaging for non-invasive assessment of microvessel in prostate lesion.
    Cancer Imaging. 2025;25:1.
    PubMed     Abstract available


    October 2024
  14. BURGARD C, Rosar F, Larsen E, Khreish F, et al
    Outstanding increase in tumor-to-background ratio over time allows tumor localization by [(89)Zr]Zr-PSMA-617 PET/CT in early biochemical recurrence of prostate cancer.
    Cancer Imaging. 2024;24:132.
    PubMed     Abstract available


    September 2024
  15. VENTURA D, Rassek P, Schindler P, Akkurt BH, et al
    Early treatment response assessment with [(177)Lu]PSMA whole-body-scintigraphy compared to interim PSMA-PET.
    Cancer Imaging. 2024;24:126.
    PubMed     Abstract available


    August 2024
  16. HARSINI S, Martineau P, Plaha S, Saprunoff H, et al
    Prognostic significance of a negative PSMA PET/CT in biochemical recurrence of prostate cancer.
    Cancer Imaging. 2024;24:117.
    PubMed     Abstract available


  17. XU L, Peng Q, Zhang G, Zhang D, et al
    Development of preoperative nomograms to predict the risk of overall and multifocal positive surgical margin after radical prostatectomy.
    Cancer Imaging. 2024;24:104.
    PubMed     Abstract available


    July 2024
  18. FURMAN B, Falick Michaeli T, Den R, Ben Haim S, et al
    Pelvic lymph node mapping in prostate cancer: examining the impact of PSMA PET/CT on radiotherapy decision-making in patients with node-positive disease.
    Cancer Imaging. 2024;24:96.
    PubMed     Abstract available


  19. KALLIS K, Conlin CC, Zhong AY, Hussain TS, et al
    Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer.
    Cancer Imaging. 2024;24:89.
    PubMed     Abstract available


  20. YANG J, Xiao L, Zhou M, Li Y, et al
    [(68)Ga]Ga?PSMA?617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1-2 prostate cancer at biopsy.
    Cancer Imaging. 2024;24:86.
    PubMed     Abstract available


  21. GROSS M, Eisenhuber E, Assinger P, Schima R, et al
    MRI-guided in-bore biopsy of the prostate - defining the optimal number of cores needed.
    Cancer Imaging. 2024;24:81.
    PubMed     Abstract available


    May 2024
  22. AYATI N, McIntosh L, Buteau J, Alipour R, et al
    Comparison of quantitative whole body PET parameters on [(68)Ga]Ga-PSMA-11 PET/CT using ordered Subset Expectation Maximization (OSEM) vs. bayesian penalized likelihood (BPL) reconstruction algorithms in men with metastatic castration-resistant prosta
    Cancer Imaging. 2024;24:57.
    PubMed     Abstract available


    April 2024
  23. KOLADE OU, Brink A, Ayeni AO, More S, et al
    Optimizing PSMA scintigraphy for resource limited settings - a retrospective comparative study.
    Cancer Imaging. 2024;24:46.
    PubMed     Abstract available


    February 2024
  24. 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


  25. 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


  26. 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


  27. 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
  28. 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
  29. 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
  30. 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


  31. 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
  32. 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


  33. 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


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