Novel non-MRI imaging techniques for primary diagnosis of prostate cancer: micro-ultrasound, contrast-enhanced ultrasound, elastography, multiparametric ultrasound, and PSMA PET/CT

Ditonno, Francesco; Franco, Antonio; Manfredi, Celeste; Veccia, Alessandro; Valerio, Massimo; Bukavina, Laura; Zukowski, Lucas B.; Vourganti, Srinivas; Stenzl, Arnuf; Andriole, Gerald L.; Antonelli, Alessandro; De Nunzio, Cosimo; Autorino, Riccardo

doi:10.1038/s41391-023-00708-9

Cited by 16 publications

(3 citation statements)

References 57 publications

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“…Moreover, the repeatability of mUS as a relatively non-invasive procedure, and its cost-effectiveness compared to mpMRI, positions it as a valuable tool for ongoing patient monitoring, potentially circumventing the need for much more expensive and invasive diagnostic approaches while following up on suspicious lesions without performing biopsies. This consideration gains further importance in light of prostate cancer screening studies which demonstrate a very low mortality risk (approximately 1% at 12 years) following a negative prostate biopsy, questioning the extent to which new diagnostic interventions can enhance survival in this patient group [ 46 , 47 , 48 ].…”

Section: Discussionmentioning

confidence: 99%

A Comparative Evaluation of Multiparametric Magnetic Resonance Imaging and Micro-Ultrasound for the Detection of Clinically Significant Prostate Cancer in Patients with Prior Negative Biopsies

Beatrici,

Frego,

Chiarelli

et al. 2024

Diagnostics

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Background: The diagnostic process for prostate cancer after a negative biopsy is challenging. This study compares the diagnostic accuracy of micro-ultrasound (mUS) with multiparametric magnetic resonance imaging (mpMRI) for such cases. Methods: A retrospective cohort study was performed, targeting men with previous negative biopsies and using mUS and mpMRI to detect prostate cancer and clinically significant prostate cancer (csPCa). Results: In our cohort of 1397 men, 304 had a history of negative biopsies. mUS was more sensitive than mpMRI, with better predictive value for negative results. Importantly, mUS was significantly associated with csPCa detection (adjusted odds ratio [aOR]: 6.58; 95% confidence interval [CI]: 1.15–37.8; p = 0.035). Conclusions: mUS may be preferable for diagnosing prostate cancer in previously biopsy-negative patients. However, the retrospective design of this study at a single institution suggests that further research across multiple centers is warranted.

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Section: Discussionmentioning

confidence: 99%

A Comparative Evaluation of Multiparametric Magnetic Resonance Imaging and Micro-Ultrasound for the Detection of Clinically Significant Prostate Cancer in Patients with Prior Negative Biopsies

Beatrici,

Frego,

Chiarelli

et al. 2024

Diagnostics

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“…Although DCE is part of the PI-RADS v2.1 guideline and is considered by some to be the basis of prostate MRI, its role is controversial in the literature. However, mpMRI is the preferred method for local staging of PCa (57). It shows better performance compared to the traditional system based on diagnostic nomograms and provides more information about the location and area of the disease.…”

Section: Discussionmentioning

confidence: 99%

Biparametric MRI for Local Staging of Prostate Cancer: Current Status and Future Applications

DELL’ATTI

2024

Anticancer Res

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Background/Aim: Multiparametric magnetic resonance imaging (mpMRI) is the recommended modality for local staging of prostate cancer (PCa). The use of dynamic contrast-enhanced (DCE) imaging alone significantly improves staging performance. However, several studies have revealed that DCE imaging adds no extra benefit for PCa detection. Many authors observed benefits of performing prostate MRI without DCE, so called biparametric MRI (bpMRI), such as the elimination of the toxicity of gadolinium administration, reduction of examination time, costs and better accessibility. This narrative review describes the variety of imaging modalities inLocal staging of PCa with bpMRI utilization and its comparison to mpMRI. Materials and Methods: A search of medical databases was performed to find eligible articles using the following key words: "prostate cancer", "MRI", "multiparametric", "biparametric" and "staging". MEDLINE, Web of Science, PubMed and Google Scholar were used to search for eligible articles published in the past 5 years and compared the diagnostic accuracy of mpMRI and bp MRI in local staging of PCa. Results: A total of 48 articles were evaluated. Multiple systematic reviews used pooled data to compare the accuracy of biparametric and multiparametric examinations. However, all these studies advise caution on using pooled data for clinical practice, pointing to multiple sources of heterogeneity among the studies evaluated. Conclusion: Given the absence of prospective data comparing bpMRI and mpMRI, randomized, prospective, multicenter studies are encouraged. However, mpMRI is the recommended modality for local staging

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“…Secondly, although the nomograms' accuracy reached 75.5%, it is still inadequate for risk estimation. The inclusion of more molecular features [4] and innovative imaging techniques [5,6] could offer additional insights. Thirdly, there is a need to integrate risk estimation into real-time surgery.…”

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confidence: 99%

Applying prediction models in clinical practice: the importance of fine details

Fang,

Zhu

2023

Prostate Cancer Prostatic Dis

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Novel non-MRI imaging techniques for primary diagnosis of prostate cancer: micro-ultrasound, contrast-enhanced ultrasound, elastography, multiparametric ultrasound, and PSMA PET/CT

Cited by 16 publications

References 57 publications

A Comparative Evaluation of Multiparametric Magnetic Resonance Imaging and Micro-Ultrasound for the Detection of Clinically Significant Prostate Cancer in Patients with Prior Negative Biopsies

A Comparative Evaluation of Multiparametric Magnetic Resonance Imaging and Micro-Ultrasound for the Detection of Clinically Significant Prostate Cancer in Patients with Prior Negative Biopsies

Biparametric MRI for Local Staging of Prostate Cancer: Current Status and Future Applications

Applying prediction models in clinical practice: the importance of fine details

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