Effect of Bacillus Calmette-Guerin Exposure on Prostate Cancer Detection Using Magnetic Resonance Imaging: A Cohort Study.

BACKGROUND: Granulomatous prostatitis is a medical condition that may mimic prostate cancer. PURPOSE: Granulomatous prostatitis resulting from BCG-exposure can confound the diagnosis of prostate cancer based on prostate imaging and data system (PI-RADS) classification observed on multiparametric prostate magnetic resonance imaging (mpMRI). STUDY TYPE, POPULATION, ASSESSMENT AND STATISTICAL TESTS: A cohort study was conducted, enrolling consecutive males at risk for prostate cancer who underwent an mpMRI-targeted prostate biopsy between February 2016 and August 2023. The focus of the study was on prior BCG-exposure as adjuvant treatment for non-muscle-invasive urothelial carcinoma within the 3 years prior the magnetic resonance imaging (MRI). Exclusion criteria were a prior androgen deprivation therapy, prostate surgery or radiation, and BCG-exposure occurring more than 3 years and less than 3 months before the MRI. Chi-square, logistic-regression, statistical association, and homogeneity tests were used. RESULTS: Total 712 patients, 899 biopsied lesions (218 PI-RADS 3, 521 PI-RADS 4 and 160 PI-RADS 5) and 20 patients with 30 lesions within the BCG-exposed cohort. Chi-square and logistic-regression tests showed an association between PI-RADS with malignancy and significant tumor (ST), considering PI-RADS3 as the reference (OR: 4.9 [95% CI, 3.4-7.1] for PI-RADS4 and OR: 21.7 [95% CI, 12.4-37.8] for PI-RADS5 for malignancy, and OR: 5.3 [95% CI, 3.2-8.7] for PI-RADS4 and OR: 16.5 [95% CI, 9.4-28.9] for PI-RADS5 regarding ST). A statistically significant negative association was demonstrated between malignancy and ST with respect to BCG-exposure (OR: 0.15 [95% CI, 0.06-0.39] and OR: 0.39 [95% CI, 0.15-1.0], respectively). Statistically significant risk-difference for malignancy in patients nonexposed to BCG regarding those exposed was 45% (61.6% vs. 16.7%) for PI-RADS4, and 68.5% (90.7% vs. 22.2%) and 42.7% (64.9% vs. 22.2%) concerning malignancy and ST for PI-RADS5, respectively. DATA CONCLUSIONS: Granulomatous prostate reaction caused by BCG-exposure acts as confounding factor for prostate MRI interpretation. The risk of malignancy and significant tumor on targeted biopsy to PI-RADS 3, 4 and 5 is notably lower in exposed patients.

The role of multiparametric magnetic resonance imaging in the diagnosis of granulomatous prostatitis mimicking prostate cancer.

PURPOSE: Aimed to investigate the role of multiparametric magnetic resonance imaging (mp-MRI) in the diagnosis of granulomatous prostatitis caused by intravesical Bacillus Calmette-Guérin (BCG). METHODS: In this prospective, single-center study, 10 male patients who were given intravesical BCG due to intermediate- and high-risk bladder cancer were included. Before transurethral resection of bladder tumors (TURB), all patients were evaluated by mp-MRI, serum prostate-specific antigen (PSA), and digital rectal examination (DRE). Serum PSA levels and DRE findings were evaluated before and after intravesical BCG treatment. Prostate mp-MRI was performed for patients with elevated levels of serum PSA and/or with abnormal DRE findings. Then, MRI fusion + systematic prostate biopsy was performed. Demographic data of the patients before and after intravesical BCG were compared. RESULTS: The average age of the patients was 66.9 years (55-87 years). While PSA was 1.7 ng/ml before intravesical BCG treatment, it was 4.3 ng/ml after intravesical BCG treatment (p = 0.005). PSA density (PSAD) was 0.04 and 0.10 before and after the treatment, respectively (p = 0.012). DRE findings of all patients were normal before the treatment. However, abnormal findings were detected in 80% of them after the treatment (p = 0.008). PI-RADS ≥ 3 lesions were found to be significantly higher in all patients after intravesical BCG (p = 0.004). CONCLUSION: Granulomatous prostatitis is a rare complication of intravesical BCG. High PSA, abnormal DRE, and PI-RADS ≥ 3 lesions detected after intravesical BCG should suggest granulomatous prostatitis and unnecessary biopsies may be avoided.

Multiparametric MRI characteristics of prostatitis and atrophy in the peripheral zone in men without prostate cancer.

PURPOSE: To analyse multiparametric magnetic resonance imaging (mpMRI) characteristics and appearance of histopathologically proven non-cancerous intraprostatic findings focussing on quantity of prostatitis and atrophy in the peripheral zone. METHOD: In this retrospective analysis consecutive patients with mpMRI followed by MRI/TRUS-fusion biopsy comprising targeted (TB) and systematic biopsy (SB) cores without prostate cancer (PC) at histopathology were included. Subgroup analysis was performed in younger men (≤50 years). The proportions of prostatitis and atrophy were quantified for each biopsy core based on histopathology. MRI findings in the peripheral zone (PZ) and index lesions (IL, most suspicious/representative lesion) were characterized regarding changes in T2w, ADC value, and enhancement of dynamic contrast enhancement (DCE) and correlated with quantity of prostatitis and atrophy. RESULTS: Seventy-two patients were analysed. The median baseline characteristics were PSA 5.4 ng/ml (4.0-7.9), PI-RADS classification 3 (2-4), prostate volume 43 ml (33-57), and PSA density 0.13 ng/ml2 (0.10-0.19). Prostatitis was found in 44 % (n = 32) and atrophy in 65 % (n = 47) of cases. The quantity of atrophy demonstrated a significant correlation to T2w changes, ADC increase and DCE enhancement (p = 0.05, p = 0.05, p = 0.01), whereas quantity of prostatitis did not show any significant correlation to the MRI changes (p = 0.68, p = 0.58, p = 0.95). Quantity of prostatitis and atrophy increased with PI-RADS classification. Younger men had lower PSA (4.4 vs. 7.8 ml/ng; p < 0.001), smaller prostate volume (40 vs. 59 ml; p = 0.001), and lower PI-RADS classification (2-3 vs. 3-4; p = 0.005) and prostatitis and atrophy were less frequently observed (p ≤ 0.01, p = 0.03). CONCLUSIONS: Quantity of atrophy and prostatitis had different influence on MRI characteristics and increased within higher PI-RADS classification. Younger men had diffuse hypointense changes at T2w images, but less quantity of prostatitis and atrophy.

Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRI.

BACKGROUND AND OBJECTIVE: With emerging evidence to improve prostate cancer (PCa) screening, multiparametric magnetic prostate imaging is becoming an essential noninvasive component of the diagnostic routine. Computer-aided diagnostic (CAD) tools powered by deep learning can help radiologists interpret multiple volumetric images. In this work, our objective was to examine promising methods recently proposed in the multigrade prostate cancer detection task and to suggest practical considerations regarding model training in this context. METHODS: We collected 1647 fine-grained biopsy-confirmed findings, including Gleason scores and prostatitis, to form a training dataset. In our experimental framework for lesion detection, all models utilized 3D nnU-Net architecture that accounts for anisotropy in the MRI data. First, we explore an optimal range of b-values for diffusion-weighted imaging (DWI) modality and its effect on the detection of clinically significant prostate cancer (csPCa) and prostatitis using deep learning, as the optimal range is not yet clearly defined in this domain. Next, we propose a simulated multimodal shift as a data augmentation technique to compensate for the multimodal shift present in the data. Third, we study the effect of incorporating the prostatitis class alongside cancer-related findings at three different granularities of the prostate cancer class (coarse, medium, and fine) and its impact on the detection rate of the target csPCa. Furthermore, ordinal and one-hot encoded (OHE) output formulations were tested. RESULTS: An optimal model configuration with fine class granularity (prostatitis included) and OHE has scored the lesion-wise partial Free-Response Receiver Operating Characteristic (FROC) area under the curve (AUC) of 1.94 (CI 95%: 1.76-2.11) and patient-wise ROC AUC of 0.874 (CI 95%: 0.793-0.938) in the detection of csPCa. Inclusion of the auxiliary prostatitis class has demonstrated a stable relative improvement in specificity at a false positive rate (FPR) of 1.0 per patient, with an increase of 3%, 7%, and 4% for coarse, medium, and fine class granularities. CONCLUSIONS: This paper examines several configurations for model training in the biparametric MRI setup and proposes optimal value ranges. It also shows that the fine-grained class configuration, including prostatitis, is beneficial for detecting csPCa. The ability to detect prostatitis in all low-risk cancer lesions suggests the potential to improve the quality of the early diagnosis of prostate diseases. It also implies an improved interpretability of the results by the radiologist.

Quantitative Evaluation of late Gadolinium Enhancement to the Differential Diagnosis of Prostate Cancer and Prostatitis in mpMRI.

OBJECTIVE: To evaluate the late gadolinium enhancement ratio (LGER) quantitatively in late post-contrast images in multiparametric prostate MRI (mpMRI) for the differential diagnosis of chronic prostatitis and prostate cancer (PCa). STUDY DESIGN: Descriptive study. PLACE AND DURATION OF STUDY: Department of Radiology, Suleyman Demirel University, Isparta, Turkey, from January 2018 to October 2021. METHODOLOGY: The data of 111 patients with a diagnosis of PCa and chronic prostatitis, were retrospectively analysed who underwent mpMRI of the prostate were retrospectively analysed. Histopathological verification was available in 57 of 57 prostate carcinoma patients and 20 of 54 chronic prostatitis cases. The detection of lesions from the images and the correlation of the detected lesions with their histopathological diagnoses were made by the joint decision of two radiologists. The LGER measurements were made independently by both radiologists. Signal intensity (SI) values of the lesions were obtained by placing a hand-drawn ROI on pre-contrast and late post-contrast images. Late enhancement ratio was calculated from the ratio of the difference between the pre- and post-contrast SI values to the pre-contrast SI values. The LGER values obtained were statistically compared between the pathologically proven PCa and chronic prostatitis patient groups. RESULTS: The prostatitis LGER values (103.40 ± 31.54%) were significantly higher than the PCa values (79.71±27.39, p<0.001). The LGER values of lesions with a Gleason score <7 were lower than those of lesions scoring ≥7 (p = 0.004). The LGER values of PI-RADS-3 PCa lesions were lower than those of PI-RADS-4 and PI-RADS-5 (p = 0.002). In the late post-contrast phase, low signal measurements in PI-RADS-3 lesions excluded the presence of prostatitis. CONCLUSION: Late contrast enhancement quantitative SI measurements performed in the late contrast phase of mpMRI may enable the differential diagnosis of PCa/prostatitis and a more accurate evaluation of PI-RADS scores in terms of malignancy. KEY WORDS: Prostate cancer, Prostatitis, Gadolinium, Dynamic contrast-enhanced magnetic resonance imaging.

T2 mapping for the characterization of prostate lesions.

PURPOSE: Purpose of this study is to evaluate the diagnostic accuracy of quantitative T2/ADC values in differentiating between PCa and lesions showing non-specific inflammatory infiltrates and atrophy, features of chronic prostatitis, as the most common histologically proven differential diagnosis. METHODS: In this retrospective, single-center cohort study, we analyzed 55 patients suspected of PCa, who underwent mpMRI (3T) including quantitative T2 maps before robot-assisted mpMRI-TRUS fusion prostate biopsy. All prostate lesions were scored according to PI-RADS v2.1. Regions of interest (ROIs) were annotated in focal lesions and normal prostate tissue. Quantitative mpMRI values from T2 mapping and ADC were compared using two-tailed t tests. Receiver operating characteristic curves (ROCs) and cutoff were calculated to differentiate between PCa and chronic prostatitis. RESULTS: Focal lesions showed significantly lower ADC and T2 mapping values than normal prostate tissue (p < 0.001). PCa showed significantly lower ADC and T2 values than chronic prostatitis (p < 0.001). ROC analysis revealed areas under the receiver operating characteristic curves (AUCs) of 0.85 (95% CI 0.74-0.97) for quantitative ADC values and 0.84 (95% CI 0.73-0.96) for T2 mapping. A significant correlation between ADC and T2 values was observed (r = 0.70; p < 0.001). CONCLUSION: T2 mapping showed high diagnostic accuracy for differentiating between PCa and chronic prostatitis, comparable to the performance of ADC values.

68Ga-DOTATATE and 68Ga-PSMA Uptake in Granulomatous Prostatitis.

ABSTRACT: 68Ga-PSMA and 68Ga-DOTATATE PET/CT have shown promising performance in diagnosing prostate cancer and neuroendocrine tumors, but there are also pitfalls. We report a case of a 78-year-old man with prostate lesions showing intense uptake of 18FDG, 68Ga-PSMA, and 68Ga-DOTATATE simultaneously, with heterogeneous enhancement on contrast-enhanced CT and abnormal signal changes on PET/MRI. It was finally diagnosed as granulomatous prostatitis. This case suggests that granulomatous prostatitis has a high uptake of various imaging agents and is easily misdiagnosed as prostate cancer.

Imaging Patterns of Bacillus Calmette-Guérin-Related Granulomatous Prostatitis Based on Multiparametric MRI.

OBJECTIVE: To categorize multiparametric MRI features of Bacillus Calmette-Guérin (BCG)-related granulomatous prostatitis (GP) and discover potential manifestations for its differential diagnosis from prostate cancer. MATERIALS AND METHODS: The cases of BCG-related GP in 24 male (mean age ± standard deviation, 66.0 ± 9.4 years; range, 50-88 years) pathologically confirmed between January 2011 and April 2019 were retrospectively reviewed. All patients underwent intravesical BCG therapy followed by a MRI scan. Additional follow-up MRI scans, including diffusion-weighted imaging (DWI), were performed in 19 patients. The BCG-related GP cases were categorized into three: A, B, or C. The lesions with diffusion restriction and homogeneous enhancement were classified as type A. The lesions with diffusion restriction and a poorly enhancing component were classified as type B. A low signal intensity on high b-value DWI (b = 1000 s/mm²) was considered characteristic of type C. Two radiologists independently interpreted the MRI scans before making a consensus about the types. RESULTS: The median lesion size was 22 mm with the interquartile range (IQR) of 18-26 mm as measured using the initial MRI scans. The lesion types were A, B, and C in 7, 15, and 2 patients, respectively. Cohen's kappa value for the inter-reader agreement for the interpretation of the lesion types was 0.837. On the last follow-up MRI scans of 19 patients, the size decreased (median, 5.8 mm; IQR, 3.4-8.5 mm), and the type changed from A or B to C in 11 patients. The lesions resolved in four patients. In five patients who underwent prostatectomy, caseous necrosis on histopathology matched with the non-enhancing components of type B lesions and the entire type C lesions. CONCLUSION: BCG-related GP demonstrated three imaging patterns on multiparametric MRI. Contrast-enhanced T1-weighted imaging and DWI may play a role in its differential diagnosis from prostate cancer.

Magnetic resonance imaging characteristics of chronic prostatitis in patients under the age of 50: is it more than the eye can see?

BACKGROUND: The magnetic resonance (MRI) diagnosis of chronic prostatitis (CP) is insufficiently evaluated. PURPOSE: To evaluate the MRI appearance of CP in young patients by comparing it to individuals with non-prostatic related pathology. MATERIAL AND METHODS: The study included 47 patients with prostatitis-like symptoms evaluated by urologists and referred to pelvic MRI examination (mean age=40.23±7 years; age range=23-49 years) and 93 age-matched individuals with non-prostatic related pathology (mean age=37.5±7 years; age range=21-49 years). All MRI examinations were performed on a 1.5-T machine using a prostate-specific protocol for the prostatitis group and different protocols that included high-resolution small field of view T2-weighted (T2WI) and diffusion-weighted imaging (DWI), for the control group, depending on the clinical indication. RESULTS: Four different T2WI intensity patterns were observed: hyperintense homogenous; slightly to moderate homogenous hypointense; inhomogeneous; and marked hypointense. We found statistically significant differences between the two analyzed groups regarding mean ADC values (P<0.001), distribution of T2WI intensity patterns (P<0.0001), and the presence of dilated venous plexus (P=0.0007). No differences were found regarding prostate volume (P=0.15). In multivariate analysis, all four analyzed imaging parameters were independent predictors of chronic prostatitis (R2=0.67; P<0.0001). Considered together, an age >28 years, an inhomogeneous or marked hypointense T2WI intensity pattern (types 3 and 4), an ADC value ≤1250, and the presence of dilated venous plexus are able to predict CP with an AUC of 93% (sensitivity=85.1%, specificity=88.4%). CONCLUSION: MR parameters like T2WI intensity patterns, ADC values, and venous plexus appearance are promising non-invasive tools in the challenging environment of CP diagnosis.

Diagnosis of Prostate Cancer and Prostatitis Using near Infra-Red Fluorescent AgInSe/ZnS Quantum Dots.

The link between the microbiome and cancer has led researchers to search for a potential probe for intracellular targeting of bacteria and cancer. Herein, we developed near infrared-emitting ternary AgInSe/ZnS quantum dots (QDs) for dual bacterial and cancer imaging. Briefly, water-soluble AgInSe/ZnS QDs were synthesized in a commercial kitchen pressure cooker. The as-synthesized QDs exhibited a spherical shape with a particle diameter of 4.5 ± 0.5 nm, and they were brightly fluorescent with a photoluminescence maximum at 705 nm. The QDs showed low toxicity against mouse mammary carcinoma (FM3A-Luc), mouse colon carcinoma (C26), malignant fibrous histiocytoma-like (KM-Luc/GFP) and prostate cancer cells, a greater number of accumulations in Staphylococcus aureus, and good cellular uptake in prostate cancer cells. This work is an excellent step towards using ternary QDs for diagnostic and guided therapy for prostate cancer.

The Clinical and Pathologic Relevance of a Prostate MRI Diagnosis of "Prostatitis".

OBJECTIVE: To investigate the relationship between magnetic resonance imaging evidence of prostatitis with clinical symptomatology. Non-malignant abnormalities in peripheral zone are common in prostate multiparametric prostate magnetic resonance imaging (mpMRI). These findings are sometimes reported as "prostatitis" or "inflammation" and lead to patient anxiety and urologic referral. METHODS: Retrospective review of patients undergoing prostate mpMRI (2016-2017) was performed. Two cohort groups based on the presence of "prostatitis" or "inflammation" in the radiology report were identified. Clinical characteristics included age, prostate specific antigen, biopsy/intervention history, true lower urinary tract symptoms (LUTS), pain, use of urologic medications, prostate volume, and PIRADS score. Pathologic finding of inflammation was recorded. Groups were compared using chi-square for dichotomous variables and t-tests for continuous variables. RESULTS: One hundred and four patients were identified with "prostatitis/inflammation" and 273 without. Report of LUTS was high in both groups (58% and 62% for prostatitis and no prostatitis respectively, P= .49), though report of moderate/severe LUTS (physician description or IPSS of 8-19 and 20+) was more common in the no prostatitis group (7% vs 18%, P= .008). Use of urologic medication was similar between the 2 groups (31% and 37% for prostatitis and no prostatitis respectively, P = .23). Biopsy finding of inflammation was more common in the prostatitis group (57% vs 43% P = .027). Reports of pelvic pain, dysuria, or urinary findings of inflammation were uncommon in both groups. CONCLUSION: While mpMRI findings of prostatitis may indicate NIH Category IV prostatitis, there is no evidence of correlation with categories I, II or III prostatitis nor with symptomatic LUTS, and patients should be reassured that further investigation is not warranted.

Prostatitis: imaging appearances and diagnostic considerations.

Acute and chronic inflammation of the prostate gland can be attributed to several underlying aetiologies, including but not limited to, bacterial prostatitis, granulomatous prostatitis, and Immunoglobulin G4-related prostatitis. In this review, we provide an overview of the general imaging appearances of the different types of prostatitis, their distinguishing features and characteristic appearances at cross-sectional imaging. Common imaging pitfalls are presented and illustrated with examples.

T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.

OBJECTIVES: To explore the associations between T1 and T2 magnetic resonance fingerprinting (MRF) measurements and corresponding tissue compartment ratios (TCRs) on whole mount histopathology of prostate cancer (PCa) and prostatitis. MATERIALS AND METHODS: A retrospective, IRB-approved, HIPAA-compliant cohort consisting of 14 PCa patients who underwent 3 T multiparametric MRI along with T1 and T2 MRF maps prior to radical prostatectomy was used. Correspondences between whole mount specimens and MRI and MRF were manually established. Prostatitis, PCa, and normal peripheral zone (PZ) regions of interest (ROIs) on pathology were segmented for TCRs of epithelium, lumen, and stroma using two U-net deep learning models. Corresponding ROIs were mapped to T2-weighted MRI (T2w), apparent diffusion coefficient (ADC), and T1 and T2 MRF maps. Their correlations with TCRs were computed using Pearson's correlation coefficient (R). Statistically significant differences in means were assessed using one-way ANOVA. RESULTS: Statistically significant differences (p < 0.01) in means of TCRs and T1 and T2 MRF were observed between PCa, prostatitis, and normal PZ. A negative correlation was observed between T1 and T2 MRF and epithelium (R = - 0.38, - 0.44, p < 0.05) of PCa. T1 MRF was correlated in opposite directions with stroma of PCa and prostatitis (R = 0.35, - 0.44, p < 0.05). T2 MRF was positively correlated with lumen of PCa and prostatitis (R = 0.57, 0.46, p < 0.01). Mean T2 MRF showed significant differences (p < 0.01) between PCa and prostatitis across both transition zone (TZ) and PZ, while mean T1 MRF was significant (p = 0.02) in TZ. CONCLUSION: Significant associations between MRF (T1 in the TZ and T2 in the PZ) and tissue compartments on corresponding histopathology were observed. KEY POINTS: • Mean T2 MRF measurements and ADC within cancerous regions of interest dropped with increasing ISUP prognostic groups (IPG). • Mean T1 and T2 MRF measurements were significantly different (p < 0.001) across IPGs, prostatitis, and normal peripheral zone (NPZ). • T2 MRF showed stronger correlations in the peripheral zone, while T1 MRF showed stronger correlations in the transition zone with histopathology for prostate cancer.

Prostatitis, the Great Mimicker of Prostate Cancer: Can We Differentiate Them Quantitatively With Multiparametric MRI?

OBJECTIVE. The purpose of this study was to investigate the diagnostic performance of semiquantitative and quantitative pharmacokinetic parameters and quantitative apparent diffusion coefficient (ADC) values obtained from prostate multiparametric MRI (mpMRI) to differentiate prostate cancer (PCa) and prostatitis objectively. MATERIALS AND METHODS. We conducted a retrospective review of patients with biopsy-proven PCa or prostatitis who underwent mpMRI study between January 2015 and February 2018. Mean ADC, forward volume transfer constant (Ktrans), reverse volume transfer constant (kep), plasma volume fraction (Vp), extravascular extracellular space volume fraction (Ve), and time to peak (TTP) values were calculated for both lesions and contralateral normal prostate tissue. Signal intensity-time curves were analyzed. Lesion-to-normal prostate tissue ratios of pharmacokinetic parameters were also calculated. The diagnostic accuracy and cutoff points of all parameters were analyzed to differentiate PCa from prostatitis. RESULTS. A total of 138 patients (94 with PCa and 44 with prostatitis) were included in the study. Statistically, ADC, quantitative pharmacokinetic parameters (Ktrans, kep, Ve, and Vp), their lesion-to-normal prostate tissue ratios, and TTP values successfully differentiated PCa and prostatitis. Surprisingly, we found that Ve values were significantly higher in prostatitis lesions. The combination of these parameters had 92.7% overall diagnostic accuracy. ADC, kep, and TTP made up the most successful combination for differential diagnosis. Analysis of the signal intensity-time curves showed mostly type 2 and type 3 enhancement curve patterns for patients with PCa. Type 3 curves were not seen in any prostatitis cases. CONCLUSION. Quantitative analysis of mpMRI differentiates PCa from prostatitis with high sensitivity and specificity, appears to have significant potential, and may improve diagnostic accuracy. In addition, evaluating these parameters does not cause any extra burden to the patients.

Prostatitis crónica: Aporte del contraste endovenoso en fase tardía para su caracterización en resonancia magnética multiparamétrica de próstata / Chronic Prostatitis: Contrast Contribution in Late Phase for its Characterization in Multiparametric-Magnetic Resonance Imaging of the Prostate

Resumen Objetivo: El objetivo de este estudio es demostrar la utilidad de una secuencia tardía post-contraste en la resonancia magnética multiparamétrica de próstata (RMMP) para caracterizar lesiones PI-RADS II. Materiales y métodos: Se analizaron en forma retrospectiva las RMMP realizadas entre enero de 2015 y diciembre de 2016. El protocolo de la RMMP fue basado en las recomendaciones del PI-RADS versión 2, y se agregó una adquisición tardía luego del dinámico post-contraste. Los reportes fueron revisados bajo la versión 2.1. Resultados: Se seleccionaron 31 pacientes que presentaron lesiones categorizadas como PI-RADS II en la zona periférica, los cuales se encontraban en seguimiento del antígeno prostático específico y presentaron confirmación histológica de prostatitis crónica. Se evidenció un realce tardío de la lesión en todos los pacientes. Según los resultados histopatológicos, 30 presentaban prostatitis crónica y el restante tejido benigno (tejido fibromuscular). Discusión: La prostatitis crónica no muestra realce temprano, y presenta realce tardío debido al tejido conectivo fibroso que la compone. En la RMMP, la prostatitis puede imitar el cáncer de próstata. Agregar una adquisición tardía solo adiciona 150 segundos al estudio y podría ayudar a resolver aquellos casos inciertos categorizados como PI-RADS III empleando las secuencias convencionales, debido a que el realce tardío de la lesión es altamente sugestivo de un proceso inflamatorio (PI-RADS II). Conclusión: La presencia de realce tardío es una herramienta útil para realizar un adecuado diagnóstico de una lesión PI-RADS II en la zona periférica, pudiendo evitar una biopsia innecesaria.

Abstract Objective: The aim of this study is to demonstrate the utility of a post-contrast late sequence in multiparametric magnetic resonance imaging (RMMP) to characterize PI-RADS II lesions. Materials and methods: The RMMPs performed between January 2015 and December 2016 were retrospectively analyzed. The RMMP protocol was based on the recommendations of the PI-RADS version 2, and a late acquisition was added, after the dynamic post-contrast. The reports were reviewed under the version 2.1. Results: 31 patients with PI-RADS II lesions in the peripheral zone were selected, who were in prostate specific antigen follow-up and had histological confirmation of chronic prostatitis. A late enhancement of the lesion was evidenced in all patients. According to the histopathological results, 30 had chronic prostatitis and the remaining benign tissue (fibromuscular tissue). Discussion: Chronic prostatitis does not show early enhancement, and presents late enhancement due to its fibrous connective tissue. In RMMP, prostatitis may mimic prostate cancer. Adding a late sequence only adds 150 seconds to the study and could help to resolve those uncertain cases categorized as PI-RADS III using traditional sequences because the late enhancement of the lesion is highly suggestive of an inflammatory process (PI-RADS II). Conclusion: The presence of late enhancement is a useful tool to perform an adequate diagnosis of a PI-RADS II lesion in the peripheral zone, helping to avoid an unnecessary biopsy.

Negative Biopsy Histology in Men With PI-RADS Score 5 in Daily Clinical Practice: Incidence of Granulomatous Prostatitis.

INTRODUCTION: The purpose of this study was to evaluate the biopsy histology of men who underwent transperineal multi-parametric magnetic resonance imaging (mpMRI)/transrectal ultrasound fusion biopsy for Prostate Imaging Reporting and Data System (PI-RADS) score 5 lesions. PATIENTS AND METHODS: From January 2016 to June 2019, 105 men with PI-RADS score 5 underwent mpMRI/transrectal ultrasound fusion biopsy combined with systematic prostate biopsy. All the patients underwent a 3.0 Tesla pelvic mpMRI for the first time before prostate biopsy. In detail, the detection rate for clinically significant prostate cancer (PCa) and the follow-up of the patients without proven diagnosis of PCa has been reported. RESULTS: In 91 (86.7%) of 105 patients, a stage T1c PCa was diagnosed, and 89 (84.5%) of 105 of them were classified as clinically significant PCa. Among the 16 (15.5%) of 105 patients with absence of cancer, 5 (31.5%) of 16 had an aspecific granulomatous prostatitis, 1 (6.2%) of 16 had a specific granulomatous prostatitis secondary to prostatic Mycobacterium Tubercolosis, and 10 (62.3%) of 16 had a diagnosis of normal parenchyma. The 6 patients with granulomatous prostatitis underwent specific antibiotic therapy followed by laboratory (ie, semen and urine cultures) and clinical evaluation. Six months from prostate biopsy, none of the 16 patients underwent repeat prostate biopsy because prostate-specific antigen (PSA) (15/16 cases) plus PSA density significantly decreased; in addition, in all the cases the initial PI-RADS score 5 was downgraded at mpMRI revaluation to PI-RADS score ≤ 3. CONCLUSION: The reduction of PSA plus PSA density values and the downgrading of PI-RADS score to ≤ 3 allow avoiding a repeated prostate biopsy in men with initial mpMRI PI-RADS score 5 lesion and negative biopsy histology.

Free prostate-specific antigen outperforms total prostate-specific antigen as a predictor of prostate volume in patients without prostate cancer.

OBJECTIVE: In the management of benign prostatic hyperplasia (BPH), urology guide- lines recommend medical or surgical treatments according to different prostate volumes (PV). The aim of this study was to analyze the relationships between PV and age, total and free prostate specific antigen (tPSA, fPSA) and fPSA/tPSA ratio in patients without histologically proven prostate cancer. MATERIALS AND METHODS: A retrospective analysis was made of the data of 1334 patients who underwent transrectal ultra- sound (TRUS)-guided prostate biopsy between January 2016 and October 2018. A total of 438 patients with available data for age, tPSA and fPSA levels and PV calculated by TRUS were enrolled in the study. Patients with chronic prostatitis pathology in addition to BPH were also noted and evaluated as a separate group. RESULTS: There were significant correlations between PV and age, tPSA, fPSA, fPSA/tPSA ratio (r = 0.210, r = 0.338, r = 0.548, r = 0.363 respectively). In multivariate linear regression analysis, fPSA was found to be the only predictor for PV (p < 0.001) when compared to age (p = 0.097), tPSA (p = 0.979) and fPSA/tPSA ratio (p = 0.425). In patients with chronic prostatitis pathology there were significant correla- tions between PV and age, tPSA, fPSA, fPSA/tPSA ratio (r = 0.279, r = 0.379, r = 0.592, r = 0.359, respectively). The multivariate linear regression analysis showed a signifi- cant correlation only between PV and tPSA and fPSA/tPSA ratio but not with fPSA and age (p = 0.008, p = 0.015, p = 0.430, p = 0.484, respectively). In men with only BPH pathology there were significant correlations between PV and age, tPSA, fPSA, fPSA/tPSA ratio (r = 0.223, r = 0.385, r = 0.520, r = 0.287, respectively) In multivariate linear regression model the significant correlation was shown only between PV and fPSA (p < 0.001). CONCLUSIONS: Although tPSA was significantly correlated with PV in patients without prostate cancer, the correlation between fPSA and PV was much stronger. However, it should be kept in mind that the efficacy of fPSA may be limited in patients with clinically unknown prostatic inflammation.

Accuracy of Magnetic Resonance Spectroscopy Techniques in Prostate Cancer and Prostatitis.

BACKGROUND: Considering the non-invasive nature of magnetic resonance spectroscopy (MRS) and its ability to detect prostate lesions, the present study aimed to investigate the accuracy of MRS techniques in distinguishing between prostate cancer (PCa) and prostatitis. METHODS: Thirty-three patients (18 patients with PCa and 15 patients with prostatitis) were recruited for this study. Magnetic resonance imaging (MRI) and MRS were performed using 1.5-T system GE- modle Optima 450 Discovery (GE Medical Systems, US). The (Cho+Cr)/Cit ratio of hypointense T2 areas were calculated. The diagnostic accuracy including sensitivity and specificity indices, with 0.95 confidence interval as well as PPV and NPV were calculated for each variable. The receiver operating characteristic (ROC) area under the curve (AUC) was outlined and investigated. The mean quantitative values between the two groups (PCa and Prostatitis) were compared using independent t test. RESULTS: The mean ratios of Cho+Cr/Cit in PCa was 1.54 ± 0.63 and 0.83 ± 0.48 for PCa and prostatitis, respectively, indicating a significant statistical difference (P = 0.00). A reduction in citrate was seen in both PCa and prostatitis tissue. Significant elevation in choline peak was shown for PCa. Moreover, creatinine level was low in both normal tissue and PCa without significant difference. Sensitivity, specificity, accuracy, PPV and NPV of MRS were 94.4% (95% CI, 74.2-99), 80% (95% CI, 54.8-93), 96%, 85% and 92.4%, respectively. CONCLUSION: The results of this study indicate an acceptable level of sensitivity, specificity and accuracy of MRS in the differential diagnosis of PCa and prostatitis.

Granulomatous Prostatitis Mimicking Prostate Cancer.

Multiparametric magnetic resonance imaging plays an important role in the detection of clinically significant prostate cancer. However, there is some overlap between prostate cancer and granulomatous prostatitis. We describe the imaging features of granulomatous prostatitis, which frequently mimics prostate cancer, and differential diagnosis between these conditions according to Prostate Imaging-Reporting and Data System (PI-RADS) version.12.

Inflammation appears as high Prostate Imaging-Reporting and Data System scores on prostate magnetic resonance imaging (MRI) leading to false positive MRI fusion biopsy.

Purpose: To investigate if inflammation as a potential cause of false-positive lesions from recent UroNav magnetic resonance imaging (MRI) fusion prostate biopsy patients. Materials and Methods: We retrospectively identified 43 men with 61 MRI lesions noted on prostate MRI before MRI ultrasound-guided fusion prostate biopsy. Men underwent MRI with 3T Siemens TIM Trio MRI system (Siemens AG, Germany), and lesions were identified and marked in DynaCAD system (Invivo Corporation, USA) with subsequent biopsy with MRI fusion with UroNav. We obtained targeted and standard 12-core needle biopsies. We retrospectively reviewed pathology reports for inflammation. Results: We noted a total of 43 (70.5%) false-positive lesions with 28 having no cancer on any cores, and 15 lesions with cancer noted on systematic biopsy but not in the target region. Of the men with cancer, 6 of the false positive lesions had inflammation in the location of the targeted region of interest (40.0%, 6/15). However, when we examine the 21/28 lesions with an identified lesion on MRI with no cancer in all cores, 54.5% had inflammation on prostate biopsy pathology (12/22, p=0.024). We noted the highest proportion of inflammation. Conclusions: Inflammation can confound the interpretation of MRI by mimicking prostate cancer. We suggested focused efforts to differentiate inflammation and cancer on prostate MRI.