Retrieve available abstracts of 27 articles: HTML format
Single Articles
July 2025
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. PubMedAbstract available
June 2025
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. PubMedAbstract available
April 2025
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. PubMedAbstract available
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. PubMedAbstract available
March 2025
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. PubMedAbstract available
POROES F, Karampa P, Sartoretti T, Najberg H, et al Additional findings in prostate MRI.
Cancer Imaging. 2025;25:29. PubMedAbstract available
January 2025
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. PubMedAbstract available
October 2024
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. PubMedAbstract available
September 2024
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. PubMedAbstract available
August 2024
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. PubMedAbstract available
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. PubMedAbstract available
July 2024
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. PubMedAbstract available
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. PubMedAbstract available
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. PubMedAbstract available
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. PubMedAbstract available
May 2024
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. PubMedAbstract available
April 2024
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. PubMedAbstract available
February 2024
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. PubMedAbstract available
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. PubMedAbstract available
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. PubMedAbstract available
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. PubMedAbstract available
January 2024
MA Y, Gao F Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers.
Cancer Imaging. 2024;24:19. PubMedAbstract available
December 2023
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. PubMedAbstract available
November 2023
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. PubMedAbstract available
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. PubMedAbstract available
September 2023
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. PubMedAbstract available
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. PubMedAbstract available