Magnetic resonance as imaging diagnostic tool in prostate cancer: New evidences-The EAU section of uro-technology position

Álvarez‐Maestro, Mario; Rivas, Juan Gómez; Olarte, J. Quesada; Monsalve, Diego Carrión; Guzmán, C. Trelles; Ballesteros, C.; Quintana, Luis Miguel; Bazán, Alfredo Aguilera; Martínez‐Piñeiro, Luis; Liatsikos, Evangelos; Barret, Éric

doi:10.1016/j.acuroe.2019.08.007

Cited by 2 publications

(2 citation statements)

References 40 publications

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“…Conventional methods of prostate cancer diagnosis involve digital rectal examination and the prostate-specific antigen (PSA) test. However, several studies have been realized aiming to develop alternative methods of cancer early detection, normally by identification of biomarkers present in the patient's blood or urine (Álvarez-Maestro et al, 2020). Thus, the development of technologies able to selectively detect these types of markers is of tremendous importance in order to reduce the mortality of prostate cancer.…”

Section: Introductionmentioning

confidence: 99%

Surface modification of PDMS substrates for tumour cell adhesion: Influence of roughness parameters

et al. 2020

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Surface properties play a key role in how biomaterials interact with the environment. Surface topography has also been reported to be influential in some research, although its effect is still not well elucidated. In this study, nano-roughened polydimethylsiloxane (PDMS) substrates were developed through a chemically etched intermediate surface. Additionally, PDMS substrates containing 10-30 μm diameter micropillars were functionalized with multilayers of chitosan (CHI) and hyaluronic acid (HA) via layer-by-layer. Such substrates were submitted to cell adhesion assays with PC3 tumour cells. The characterization of these substrates was carried out using an atomic force microscopy (AFM), and some roughness parameters were estimated.Through a statistical description of the topography, we investigated the effects of these surface parameters on PC3 cell adhesion. AFM results indicated a significant modification in the PDMS surface topography and the cell adhesion assays suggest that smoother surfaces induce the PC3 cell adhesion, especially the ones with a high Hurst exponent value. In addition to the AFM analysis, the surface modification of the LbL-functionalized substrates was monitored by contact angle and UV-visible measurements. The improved wettability and the significant Alcian Blue absorbance of the functionalized substrates suggest that the HA/CHI film deposition was successfully accomplished. The LbL functionalization increased the cell capture potential of the PDMS substrates, in which lower diameter micropillars favour the cell adhesion mechanism. Although much work is still needed, the findings advance progress towards the fundamental understanding of the role of nanoscale fractal roughness in cell adhesion and can contribute to the development of new biomaterials with applications in biomedical systems, such as biosensors.

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Section: Introductionmentioning

confidence: 99%

Surface modification of PDMS substrates for tumour cell adhesion: Influence of roughness parameters

et al. 2020

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“…Multiparametric magnetic resonance imaging (mpMRI) is currently the optimum imaging technology for the diagnosis and monitoring of PCa [ 4 , 5 ]. Studies have shown that mpMRI sensitivity for the detection of PCa is up to 96%, while the specificity is only 36–58%, indicating a relatively high false-positive rate [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

68Ga-PSMA PET/CT-based multivariate model for highly accurate and noninvasive diagnosis of clinically significant prostate cancer in the PSA gray zone

Yang,

Li,

Xiao

et al. 2023

Cancer Imaging

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Background The prostate-specific antigen (PSA) has been widely used in screening and early diagnosis of prostate cancer (PCa). However, in the PSA grey zone of 4–10 ng/ml, the sensitivity and specificity for diagnosing PCa are limited, resulting in considerable number of unnecessary and invasive prostate biopsies, which may lead to potential overdiagnosis and overtreatment. We aimed to predict clinically significant PCa (CSPCa) by combining the maximal standardized uptake value (SUVmax) based on 68Ga‑PSMA PET/CT and clinical indicators in men with gray zone PSA levels. Methods 81 patients with suspected PCa based on increased serum total PSA (TPSA) levels of 4 − 10 ng/mL who underwent transrectal ultrasound/magnetic resonance imaging (MRI)/PET fusion-guided biopsy were enrolled. Among them, patients confirmed by histopathology were divided into the CSPCa group and the non-CSPCa group, and data on PSA concentration, prostate volume (PV), PSA density (PSAD), free PSA (FPSA)/TPSA, Prostate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) score, 68Ga-PSMA PET/CT imaging evaluation results and SUVmax were compared. Multivariate logistic regression analysis was performed to identify the independent predictors for CSPCa, thereby establishing a predictive model based on SUVmax that was evaluated by analyzing the receiver operating characteristic (ROC) curve and decision curve analysis. Results Compared to non-CSPCa, CSPCa patients had smaller PVs (median, 31.40 mL), lower FPSA/TPSA (median, 0.12), larger PSADs (median, 0.21 ng/mL2) and higher PI-RADS scores (P < 0.05). The prediction model comprising 68Ga-PSMA PET/CT maximal standardized uptake value, PV and FPSA/TPSA had the highest AUC of 0.927 compared with that of other predictors alone (AUCs of 0.585 for PSA, 0.652 for mpMRI and 0.850 for 68Ga-PSMA PET/CT). The diagnostic sensitivity and specificity of the prediction model were 86.21% and 86.54%, respectively. Conclusion Given the low diagnostic accuracy of regular PSA tests, a new prediction model based on the 68Ga-PSMA PET/CT SUVmax, PV and FPSA/TPSA was developed and validated, and this model could provide a more satisfactory predictive accuracy for CSPCa. This study provides a noninvasive prediction model with high accuracy for the diagnosis of CSPCa in the PSA gray zone, thus may be better avoiding unnecessary biopsy procedures.

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Magnetic resonance as imaging diagnostic tool in prostate cancer: New evidences-The EAU section of uro-technology position

Cited by 2 publications

References 40 publications

Surface modification of PDMS substrates for tumour cell adhesion: Influence of roughness parameters

Surface modification of PDMS substrates for tumour cell adhesion: Influence of roughness parameters

68Ga-PSMA PET/CT-based multivariate model for highly accurate and noninvasive diagnosis of clinically significant prostate cancer in the PSA gray zone

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