1412: Assessment of a Cleaved Product of E-Cadherin as a Serum Biomarker with Predictive Value for Prostate Cancer

2005 ◽  
Vol 173 (4S) ◽  
pp. 383-383
Author(s):  
Rainer Kuefer ◽  
Matthias D. Hofer ◽  
Christoph Zorn ◽  
Bjoern G. Volkmer ◽  
Juergen E. Gschwend ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Predictive Value ◽  
Serum Biomarker ◽  
E Cadherin

scholarly journals Assessment of a fragment of e-cadherin as a serum biomarker with predictive value for prostate cancer

2005 ◽  
Vol 92 (11) ◽  
pp. 2018-2023 ◽  
Author(s):  
R Kuefer ◽  
M D Hofer ◽  
C S M Zorn ◽  
O Engel ◽  
B G Volkmer ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Predictive Value ◽  
Serum Biomarker ◽  
E Cadherin

ASSESSMENT OF A CLEAVED PRODUCT OF E-CADHERIN AS A SERUM BIOMARKER WITH PREDICTIVE VALUE FOR PROSTATE CANCER

2006 ◽  
Vol 5 (2) ◽  
pp. 163
Author(s):  
R. Kuefer ◽  
M. Hofer ◽  
B. Volkmer ◽  
J. Gschwend ◽  
R. Hautmann ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Predictive Value ◽  
Serum Biomarker ◽  
E Cadherin

1497: Predictive Value of Proliferative Inflammatory Atrophy (PIA) for Prostate Cancer on Repeat Prostate Biopsy

2006 ◽  
Vol 175 (4S) ◽  
pp. 483-483
Author(s):  
Charlie Jung ◽  
Michael S. Cookson ◽  
Matthew J. Putzi ◽  
Sam S. Chang ◽  
Joseph A. Smith ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Predictive Value ◽  
Proliferative Inflammatory Atrophy

410: Cleavage of E-Cadherin and the Role of an 80KDa Fragment in the Metastatic Progression of Prostate Cancer

2004 ◽  
Vol 171 (4S) ◽  
pp. 108-108
Author(s):  
Rainer Kuefer ◽  
Kathleen Day ◽  
Jonathan Rios-Doria ◽  
Matthias Hofer ◽  
Arul Chinnaiyan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Metastatic Progression ◽  
E Cadherin

scholarly journals Potential synergy between PSMA uptake and tumour blood flow for prediction of human prostate cancer aggressiveness

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mads Ryø Jochumsen ◽  
Jens Sörensen ◽  
Lars Poulsen Tolbod ◽  
Bodil Ginnerup Pedersen ◽  
Jørgen Frøkiær ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Blood Flow ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Standardized Uptake Value ◽  
Tumour Blood Flow ◽  
Combined Model ◽  
Grade Group ◽  
Cancer Aggressiveness ◽  
Tumour Blood

Abstract Background Both prostate-specific membrane antigen (PSMA) uptake and tumour blood flow (TBF) correlate with International Society of Urological Pathology (ISUP) Grade Group (GG) and hence prostate cancer (PCa) aggressiveness. The aim of the present study was to evaluate the potential synergistic benefit of combining the two physiologic parameters for separating significant PCa from insignificant findings. Methods From previous studies of [82Rb]Rb positron emission tomography (PET) TBF in PCa, the 43 patients that underwent clinical [68Ga]Ga-PSMA-11 PET were selected for this retrospective study. Tumours were delineated on [68Ga]Ga-PSMA-11 PET or magnetic resonance imaging. ISUP GG was recorded from 52 lesions. Results [68Ga]Ga-PSMA-11 maximum standardized uptake value (SUVmax) and [82Rb]Rb SUVmax correlated moderately with ISUP GG (rho = 0.59 and rho = 0.56, both p < 0.001) and with each other (r = 0.65, p < 0.001). A combined model of [68Ga]Ga-PSMA-11 and [82Rb]Rb SUVmax separated ISUP GG > 2 from ISUP GG 1–2 and benign with an area-under-the-curve of 0.85, 96% sensitivity, 74% specificity, and 95% negative predictive value. The combined model performed significantly better than either tracer alone did (p < 0.001), primarily by reducing false negatives from five or six to one (p ≤ 0.025). Conclusion PSMA uptake and TBF provide complementary information about tumour aggressiveness. We suggest that a combined analysis of PSMA uptake and TBF could significantly improve the negative predictive value and allow non-invasive separation of significant from insignificant PCa.

scholarly journals Diffusion Is Directional: Innovative Diffusion Tensor Imaging to Improve Prostate Cancer Detection

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 563
Author(s):  
Chen Shenhar ◽  
Hadassa Degani ◽  
Yaara Ber ◽  
Jack Baniel ◽  
Shlomit Tamir ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diffusion Tensor Imaging ◽  
Predictive Value ◽  
Breast Imaging ◽  
Normal Tissue ◽  
Diffusion Tensor ◽  
Peripheral Zone ◽  
Predictive Values ◽  
Directional Diffusion ◽  
Central Gland

In the prostate, water diffusion is faster when moving parallel to duct and gland walls than when moving perpendicular to them, but these data are not currently utilized in multiparametric magnetic resonance imaging (mpMRI) for prostate cancer (PCa) detection. Diffusion tensor imaging (DTI) can quantify the directional diffusion of water in tissue and is applied in brain and breast imaging. Our aim was to determine whether DTI may improve PCa detection. We scanned patients undergoing mpMRI for suspected PCa with a DTI sequence. We calculated diffusion metrics from DTI and diffusion weighted imaging (DWI) for suspected lesions and normal-appearing prostate tissue, using specialized software for DTI analysis, and compared predictive values for PCa in targeted biopsies, performed when clinically indicated. DTI scans were performed on 78 patients, 42 underwent biopsy and 16 were diagnosed with PCa. The median age was 62 (IQR 54.4–68.4), and PSA 4.8 (IQR 1.3–10.7) ng/mL. DTI metrics distinguished PCa lesions from normal tissue. The prime diffusion coefficient (λ1) was lower in both peripheral-zone (p < 0.0001) and central-gland (p < 0.0001) cancers, compared to normal tissue. DTI had higher negative and positive predictive values than mpMRI to predict PCa (positive predictive value (PPV) 77.8% (58.6–97.0%), negative predictive value (NPV) 91.7% (80.6–100%) vs. PPV 46.7% (28.8–64.5%), NPV 83.3% (62.3–100%)). We conclude from this pilot study that DTI combined with T2-weighted imaging may have the potential to improve PCa detection without requiring contrast injection.

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