Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review.

MRI can identify suspicious lesions, providing the semi-quantitative risk of csPCa through the Prostate Imaging-Report and Data System (PI-RADS). Predictive models of clinical variables that individualise the risk of csPCa have been developed by adding PI-RADS score (MRI-PMs). Our objective is to analyse the current developed MRI-PMs and define their clinical usefulness. A systematic review was performed after a literature search performed by two independent investigators in PubMed, Cochrane, and Web of Science databases, with the Medical Subjects Headings (MESH): predictive model, nomogram, risk model, magnetic resonance imaging, PI-RADS, prostate cancer, and prostate biopsy. This review was made following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) criteria and studied eligibility based on the Participants, Intervention, Comparator, and Outcomes (PICO) strategy. Among 723 initial identified registers, 18 studies were finally selected. Warp analysis of selected studies was performed with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Clinical predictors in addition to the PI-RADS score in developed MRI-PMs were age, PCa family history, digital rectal examination, biopsy status (initial vs. repeat), ethnicity, serum PSA, prostate volume measured by MRI, or calculated PSA density. All MRI-PMs improved the prediction of csPCa made by clinical predictors or imaging alone and achieved most areas under the curve between 0.78 and 0.92. Among 18 developed MRI-PMs, 7 had any external validation, and two RCs were available. The updated PI-RADS version 2 was exclusively used in 11 MRI-PMs. The performance of MRI-PMs according to PI-RADS was only analysed in a single study. We conclude that MRI-PMs improve the selection of candidates for prostate biopsy beyond the PI-RADS category. However, few developed MRI-PMs meet the appropriate requirements in routine clinical practice.

Multiparametric MRI for Staging of Prostate Cancer: A Multicentric Analysis of Predictive Factors to Improve Identification of Extracapsular Extension before Radical Prostatectomy.

The correct identification of extracapsular extension (ECE) of prostate cancer (PCa) on multiparametric magnetic resonance imaging (mpMRI) is crucial for surgeons in order to plan the nerve-sparing approach in radical prostatectomy. Nerve-sparing strategies allow for better outcomes in preserving erectile function and urinary continence, notwithstanding this can be penalized with worse oncologic results. The aim of this study was to assess the ability of preoperative mpMRI to predict ECE in the final prostatic specimen (PS) and identify other possible preoperative predictive factors of ECE as a secondary end-point. We investigated a database of two high-volume hospitals to identify men who underwent a prostate biopsy with a pre-biopsy mpMRI and a subsequent RP. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of mpMRI in predicting ECE were calculated. A univariate analysis was performed to find the association between image staging and pathological staging. A multivariate logistic regression was performed to investigate other preoperative predictive factors. A total of 1147 patients were selected, and 203 out of the 1147 (17.7%) patients were classified as ECE according to the mpMRI. ECE was reported by pathologists in 279 out of the 1147 PS (24.3%). The PPV was 0.58, the NPV was 0.72, the sensitivity was 0.32, and the specificity was 0.88. The multivariate analysis found that PSA (OR 1.057, C.I. 95%, 1.016-1.100, p = 0.006), digital rectal examination (OR 0.567, C.I. 95%, 0.417-0.770, p = 0.0001), ratio of positive cores (OR 9.687, C.I. 95%, 3.744-25.006, p = 0.0001), and biopsy grade in prostate biopsy (OR 1.394, C.I. 95%, 1.025-1.612, p = 0.0001) were independent factors of ECE. The mpMRI has a great ability to exclude ECE, notwithstanding that low sensitivity is still an important limitation of the technique.

Application of One-Step Nucleic Acid Amplification (OSNA) in different cancer entities and usefulness in prostate cancer: a systematic review.

BACKGROUND: Lymph node (LN) status is a key prognostic factor in the decision-making process of different cancer entities, including prostate cancer (PCa). Sectioning and haematoxylin and eosin (H&E) staining technique remain the gold standard for the evaluation of LN metastases despite some limitations, especially low sensitivity in detecting an accurate tumour burden within the LN, as well as a subjective and time-consuming result. One-step nucleic acid amplification (OSNA) quantifies mRNA copies of cytokeratin 19 (CK19) in a fast, objective, automated, and reproducible way, raising a general interest to explore its utility for lymphatic metastasis identification in different malignancies. METHODS: To present the latest evidence related to the detection of LN metastases in several tumours by using OSNA compared with the conventional H&E method, a systematic review of articles published since March 2021 was conducted using PubMed, Cochrane Library, and Web of Science databases. References from primary papers and review articles were checked to obtain further potential studies. Our procedure for evaluating records identified during the literature search followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses criteria. With the aim to design and justify future clinical routine use of OSNA in PCa, novel PCa evidence has been included in this review for the first time. RESULTS: Twenty five studies were included. LN from six different groups of tumours: breast, gastrointestinal, gynecological, lung, head and neck and prostate cancers has been assessed. OSNA was compared with post-operative formalin-fixed paraffin-embedded tissue sections with H&E staining as the reference standard. Contingency tables were created, and concordance rate, sensitivity, specificity and predictive values were reported. Seventeen studies analysed the discordant cases using different techniques. CONCLUSION: OSNA method has a high diagnostic accuracy for the detection of LN metastases in several CK19 expressing tumours. Available evidence might encourage future investigations about its usage in PCa patients to improve LN staging and prognosis.

The position of urethrovesical anastomosis after robotic radical prostatectomy assessed by MRI predicts early functional recovery: A cohort analyses from a randomized clinical trial.

PURPOSE: Functional and anatomical changes associated with prostate removal coincide with alterations in pelvic structures. Posterior rhabdosphincter reconstruction was designed to improve urinary continence after radical prostatectomy. The aim of this study was to determine magnetic resonance anatomic predictors of urinary recovery after radical prostatectomy, and to assess their relation to the type of reconstruction. MATERIAL AND METHODS: Forty patients were randomly selected from a trial (NCT03302169). Two independent radiologists determined the situation of the anastomosis in the pelvis according to MRI performed a month after the radical prostatectomy: vertical situation assessed as the distance to the line coccyx-inferior pubic margin (ACPv) and anteroposterior situation as the distance from the pubis (Distance A), and from the coccyx (Distance B). RESULTS: The Pearson correlation of ACPv, Distance A, and B between readers were 0.975, 0.940, and 0.711, p < 0.001. Patients with the reconstruction presented more cephalic situation of the anastomosis (higher ACPv) than patients with standard reconstruction technique. A multivariate analysis was performed including age, BMI, prostate volume, PRRS, and the MRI parameters. ACPv and Distance B were the only two independent predictors of no need for any urinary protection at 6 months after the surgery. CONCLUSIONS: This is the first study that suggests positional differences according to the type of reconstruction after radical prostatectomy related to early urinary recovery. Magnetic resonance measurements to determine anastomosis positioning are reliable and have a strong correlation between readers. Anatomic MRI features are independent predictors of urinary recovery after robotic radical prostatectomy.

Hormonal response recovery after long-term androgen deprivation therapy in patients with prostate cancer.

OBJECTIVE: The aim of this study was to evaluate hormonal recovery after cessation of androgen deprivation therapy (ADT) in a group of elderly prostate cancer patients. MATERIALS AND METHODS: Forty patients with locally advanced or metastatic prostate cancer, with a mean age of 71.5 years [95% confidence interval (CI) 69.1-73.9], were treated with ADT for a mean duration of 74.6 months (95% CI 59.7-89.5 months). Mean follow-up time after ADT cessation was 36.5 months (95% CI 30.6-42.3 months). Serum testosterone and luteinizing hormone (LH) were determined at 6 month intervals after ADT cessation. RESULTS: After 18 months of follow-up, all patients had recovered normal LH levels, while 38% of patients still presented castration levels of testosterone (< 50 ng/dl). A multivariate analysis was performed to find factors related to testosterone recovery (testosterone >50 ng/dl). Neither age at start of ADT nor clinical stage reached statistical significance. Only time under ADT was correlated with testosterone recovery (p = .031). Kaplan-Meier curves were obtained. Mean time for testosterone recovery was 14.5 months (95% CI 6.5-22.6 months) in patients treated with ADT for less than 60 months compared to 29.3 months (95% CI 19.6-39.1 months) in patients treated with ADT for more than 60 months (log-rank p = .029). CONCLUSIONS: Age did not correlate with testosterone recovery in a group of elderly prostate cancer patients in whom ADT was stopped. Testosterone recovery after ADT cessation was significantly correlated with time under ADT treatment. Significant implications related to economic aspects of the dosage schedule may be considered.