The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region

Martins, Martina; Regusci, S.; Rohner, S.; Szalay-Quinodoz, Ildiko; Boccard, Georges-Antoine De; Strøm, Louise; Hannink, Gerjon; Ramos-Pascual, Sonia; Rochat, Charles-Henry

doi:10.1002/bco2.62

Cited by 5 publications

(3 citation statements)

References 42 publications

(76 reference statements)

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“…They focused on socioeconomic status as a predictor of survival but could also show relationships with modifiable risk factors such as treatment delays. A hint for future authors—this authorship group has an open access agreement in place that covers article publication charges—be sure to check the Wiley website to see if your institution has one (see our web page and follow the links to Wiley Open Access). To the Clinic … We have three clinical utility papers for your interest—focused efforts on prostate cancer pathology correlates to outcomes, 3 a practical study asking the question as to whether or not the prostate screening digital rectal exam matters any more when PSA and MRI are known, 4 and a detailed comparison of MRI accuracy metrics judged by radical prostatectomy findings across different anatomic zones 5 . This latter paper is useful in that anterior lesions had lower sensitivity for MRI, but the authors do question whether negative findings need additional corroboration (biopsy, other imaging, etc). To the Drawing Board … We have two papers in this section.…”

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confidence: 99%

“… To the Clinic … We have three clinical utility papers for your interest—focused efforts on prostate cancer pathology correlates to outcomes, 3 a practical study asking the question as to whether or not the prostate screening digital rectal exam matters any more when PSA and MRI are known, 4 and a detailed comparison of MRI accuracy metrics judged by radical prostatectomy findings across different anatomic zones. 5 This latter paper is useful in that anterior lesions had lower sensitivity for MRI, but the authors do question whether negative findings need additional corroboration (biopsy, other imaging, etc). To the Drawing Board … We have two papers in this section.…”

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Davis

2021

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2021

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“…Over the past few years, there has been a growing utilization of multi-parameter MRI (mp-MRI) in localizing, qualitatively assessing, and diagnosing staging of PCa ( 5 ). The aim of PI-RADS is to enhance the consistency of prostate MRI examination and analysis.…”

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Risk score model to automatically detect prostate cancer patients by integrating diagnostic parameters

Castaldo,

Brancato,

Cavaliere

et al. 2024

Front. Oncol.

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IntroductionProstate cancer (PCa) is one of the prevailing forms of cancer among men. At present, multiparametric MRI is the imaging method for localizing tumors and staging cancer. Radiomics plays a key role and hold potential for PCa detection, reducing the need for unnecessary biopsies, characterizing tumor aggression, and overseeing PCa recurrence post-treatment. MethodsFurthermore, the integration of radiomics data with clinical and histopathological data can further enhance the understanding and management of PCa and decrease unnecessary transfers to specialized care for expensive and intrusive biopsies. Therefore, the aim of this study is to develop a risk model score to automatically detect PCa patients by integrating non-invasive diagnostic parameters (radiomics and Prostate-Specific Antigen levels) along with patient’s age.ResultsThe proposed approach was evaluated using a dataset of 189 PCa patients who underwent bi-parametric MRI from two centers. Elastic-Net Regularized Generalized Linear Model achieved 91% AUC to automatically detect PCa patients. The model risk score was also used to assess doubt cases of PCa at biopsy and then compared to bi-parametric PI-RADS v2. DiscussionThis study explored the relative utility of a well-developed risk model by combining radiomics, Prostate-Specific Antigen levels and age for objective and accurate PCa risk stratification and supporting the process of making clinical decisions during follow up.

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phi and phiD predict adverse pathological features after radical prostatectomy for prostate cancer in Chinese population

Shi,

Huang,

Yan

et al. 2024

Cancer Medicine

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BackgroundAnticipating the postoperative pathological stage and potential for adverse features of prostate cancer (PCa) patients before radical prostatectomy (RP) is crucial for guiding perioperative treatment.MethodsA cohort consisting of three sub‐cohorts with a total of 709 patients has been enlisted from two major tertiary medical centres in China. The primary assessment parameters for adverse pathological features in this study are the pathological T stage, the AJCC prognostic stage groups and perineural invasion (PNI). Logistic regression analyses were performed to investigate the relationship between prostate specific antigen (PSA), its derivatives (incluing Prostate Health Index, phi and phi density, phiD), and the pathological outcomes after RP.ResultsBoth phi and phiD showed a significant association with pathologic T stage of pT3 or above (phi, adjusted OR, AOR = 2.82, 95% confidence interval, 95% CI: 1.88–4.23, p < 0.001; phiD, AOR = 2.47, 95% CI: 1.76–3.48, p < 0.001) and PNI (phi, AOR = 2.15, 95% CI: 1.39–3.32, p < 0.001; phiD, AOR = 1.94, 95% CI: 1.38–2.73, p < 0.001). In a subgroup analysis with a total PSA value <10 ng/mL, phi and phiD continued to show a significant correlation with pT3 or above (phi, AOR = 4.70, 95% CI: 1.29–17.12, p = 0.019; phiD, AOR = 3.44, 95% CI: 1.51–7.85, p = 0.003), and phiD also maintained its predictive capability for PNI in this subgroup (AOR = 2.10, 95% CI: 1.17–3.80, p = 0.014). Sensitivity analysis indicated that the findings in the combined cohort are mainly influenced by one of the sub‐cohorts, partially attributable to disparities in sample sizes between sub‐cohorts. Combined analysis of phi(D) and multiparametric MRI (mpMRI) data yielded similar results.ConclusionsPreoperative measurement of serum phi and phiD is valuable for predicting the occurrence of adverse pathological features in Chinese PCa patients after RP.

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The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 5 publications

References 42 publications

A shout‐out to middle authors: Opportunities for achieving clarity in editing

A shout‐out to middle authors: Opportunities for achieving clarity in editing

Risk score model to automatically detect prostate cancer patients by integrating diagnostic parameters

phi and phiD predict adverse pathological features after radical prostatectomy for prostate cancer in Chinese population

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