New model of PIRADS and adjusted prostatespecific antigen density of peripheral zone improves the detection rate of initial prostate biopsy: a diagnostic study / 亚洲男科学杂志(英文版)

This study explored a new model of Prostate Imaging Reporting and Data System (PIRADS) and adjusted prostate-specific antigen density of peripheral zone (aPSADPZ) for predicting the occurrence of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). The demographic and clinical characteristics of 853 patients were recorded. Prostate-specific antigen (PSA), PSA density (PSAD), PSAD of peripheral zone (PSADPZ), aPSADPZ, and peripheral zone volume ratio (PZ-ratio) were calculated and subjected to receiver operating characteristic (ROC) curve analysis. The calibration and discrimination abilities of new nomograms were verified with the calibration curve and area under the ROC curve (AUC). The clinical benefits of these models were evaluated by decision curve analysis and clinical impact curves. The AUCs of PSA, PSAD, PSADPZ, aPSADPZ, and PZ-ratio were 0.669, 0.762, 0.659, 0.812, and 0.748 for PCa diagnosis, while 0.713, 0.788, 0.694, 0.828, and 0.735 for csPCa diagnosis, respectively. All nomograms displayed higher net benefit and better overall calibration than the scenarios for predicting the occurrence of PCa or csPCa. The new model significantly improved the diagnostic accuracy of PCa (0.945 vs 0.830, P < 0.01) and csPCa (0.937 vs 0.845, P < 0.01) compared with the base model. In addition, the number of patients with PCa and csPCa predicted by the new model was in good agreement with the actual number of patients with PCa and csPCa in high-risk threshold. This study demonstrates that aPSADPZ has a higher predictive accuracy for PCa diagnosis than the conventional indicators. Combining aPSADPZ with PIRADS can improve PCa diagnosis and avoid unnecessary biopsies.

Segmentation of prostate region in magnetic resonance images based on improved V-Net / 生物医学工程学杂志

Magnetic resonance (MR) imaging is an important tool for prostate cancer diagnosis, and accurate segmentation of MR prostate regions by computer-aided diagnostic techniques is important for the diagnosis of prostate cancer. In this paper, we propose an improved end-to-end three-dimensional image segmentation network using a deep learning approach to the traditional V-Net network (V-Net) network in order to provide more accurate image segmentation results. Firstly, we fused the soft attention mechanism into the traditional V-Net's jump connection, and combined short jump connection and small convolutional kernel to further improve the network segmentation accuracy. Then the prostate region was segmented using the Prostate MR Image Segmentation 2012 (PROMISE 12) challenge dataset, and the model was evaluated using the dice similarity coefficient (DSC) and Hausdorff distance (HD). The DSC and HD values of the segmented model could reach 0.903 and 3.912 mm, respectively. The experimental results show that the algorithm in this paper can provide more accurate three-dimensional segmentation results, which can accurately and efficiently segment prostate MR images and provide a reliable basis for clinical diagnosis and treatment.

MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

Prostate cancer (PCa) is a pernicious tumor with high heterogeneity, which creates a conundrum for making a precise diagnosis and choosing an optimal treatment approach. Multiparametric magnetic resonance imaging (mp-MRI) with anatomical and functional sequences has evolved as a routine and significant paradigm for the detection and characterization of PCa. Moreover, using radiomics to extract quantitative data has emerged as a promising field due to the rapid growth of artificial intelligence (AI) and image data processing. Radiomics acquires novel imaging biomarkers by extracting imaging signatures and establishes models for precise evaluation. Radiomics models provide a reliable and noninvasive alternative to aid in precision medicine, demonstrating advantages over traditional models based on clinicopathological parameters. The purpose of this review is to provide an overview of related studies of radiomics in PCa, specifically around the development and validation of radiomics models using MRI-derived image features. The current landscape of the literature, focusing mainly on PCa detection, aggressiveness, and prognosis evaluation, is reviewed and summarized. Rather than studies that exclusively focus on image biomarker identification and method optimization, models with high potential for universal clinical implementation are identified. Furthermore, we delve deeper into the critical concerns that can be addressed by different models and the obstacles that may arise in a clinical scenario. This review will encourage researchers to design models based on actual clinical needs, as well as assist urologists in gaining a better understanding of the promising results yielded by radiomics.

Research progress on prostate-specific membrane antigen ligand positron emission tomography imaging of prostate cancer / 生物医学工程学杂志

Prostate cancer is the most common malignant tumor in male urinary system, and the morbidity and mortality rate are increasing year by year. Traditional imaging examinations have some limitations in the diagnosis of prostate cancer, and the advent of molecular imaging probes and imaging technology have provided new ideas for the integration of diagnosis and treatment of prostate cancer. In recent years, prostate-specific membrane antigen (PSMA) has attracted much attention as a target for imaging and treatment of prostate cancer. PSMA ligand positron emission tomography (PET) has important reference value in the diagnosis, initial staging, detection of biochemical recurrence and metastasis, clinical decision-making guidance and efficacy evaluation of prostate cancer. This article briefly reviews the clinical research and application progress on PSMA ligand PET imaging in prostate cancer in recent years, so as to raise the efficiency of clinical applications.

Correlación entre las cinéticas del PSA y positividad de la tomografía por emisión de positrones 18F-PSMA-1007 en la reestadificación de la recaída del cáncer de próstata / Correlation between PSA kinetics and positivity of f18-PSMA positron emission tomography in the relapsed prostate cancer

Resumen Objetivo: Evaluar la correlación diagnóstica entre las cinéticas del antígeno específico de la próstata (PSA) y la positividad de la PET/TC 18F-PSMA en pacientes con cáncer de próstata con recaída bioquímica (RCP, recurrencia del cáncer de próstata). Material y métodos: Se realizó un trabajo observacional de corte transversal de pacientes con una RCP que fueron evaluados con PET/TC 18F-PSMA-1007 en los que se analizó la concordancia entre el PET/TC PSMA y las cinéticas del PSA. Resultados: Se analizaron un total de 54 pacientes. La edad media fue de 68 ± 8 años. El PSA disparador de la PET/TC mostró una mediana (Q1-Q3) de 3,14 (0,73-8.69) ng/ml. La PET/TC colina mostró una tasa de positividad del 35%, mientras que la PET/TC 18F-PSMA mostró una tasa de positividad del 80%, pero con un PSA disparador ≥ 2 ng/ml la PET/TC 18F-PSMA tuvo un 100% de positividad; mientras que la PET/TC colina un 55% de positivos. En la valoración de las cinéticas de PSA para PET/TC PSMA las curvas ROC mostraron para PSAV un área bajo la curva de 0,93 (IC 95%: 0,83-1; p = 0,0001), presentado el punto de corte 0,85 ng/ml/año una sensibilidad del 88% y una especificidad del 87%. El 97% de las PET/TC 18F-PSMA fueron positivas con un PSAV > 0,85 ng/ml/año (p = 0,0001). Mientras que las curvas ROC mostraron para PSADT un área bajo de la curva de 0,38 (IC 95%: 0,21-0,57; p = 0,321) sin evidenciar valor diagnóstico. Conclusión: Se evidenció que el PSAV fue un muy buen predictor de positividad en la PET/TC 18F-PSMA en pacientes con RCP, no así el PSADT.

Abstract Introduction: Prostate-specific antigen (PSA) kinetics (PSA velocity [PSAV] and PSA doubling time [PSADT]) are predictors of positivity in Choline PET/CT, but this correlation has not been correctly established in PSMA PET/CT. Objective: To evaluate the diagnostic correlation between PSA kinetics and positivity of 18F PSMA PET/CT in patients with relapsed prostate cancer (RPC). Material and methods: We performed an observational cross-sectional study of 54 patients with RPC that were evaluated with 18F-PSMA PET/CT. The concordance between 18F-PSMA PET/CT and PSA kinetics was analyzed. Results: The mean age was 68 ± 8 years. Time to relapse had a median (Q1-Q3) of 29 (8; 48) months. The trigger PSA showed a median of 3.14 (0.73-8.69) ng/dl. 18F-PSMA PET/CT showed a positivity of 80%. The ROC curves showed an AUC of 0.93 for PSAV (95%CI0.83-1; p = 0.0001). A cut-off points of 0.85 ng/ml/year showed a sensitivity of 88% and a specificity of 87%. 97% of the 18F-PSMA PET/CT were positive with a PSAV > 0.85 ng/ml/year (p = 0.0001). While the ROC curves showed an AUC of 0.38 for PSADT (95%CI 0.21- 0.57; p = 0.321) without showing diagnostic value. Conclusion: PSAV was a predictor of positivity in 18F-PSMA PET/CT in patients with RPC, but PSADT was not.

68Ga-Prostate-specific membrane antigen (PSMA) positron emission tomography (pet) in prostate cancer: a systematic review and meta-analysis

ABSTRACT Introduction: Prostate cancer (PC) is the second most commonly diagnosed cancer in males. 68Ga-PSMA PET/CT, a non-invasive diagnostic tool to evaluate PC with prostate-specific membrane antigen (PSMA) expression, has emerged as a more accurate alternative to assess disease staging. We aimed to identify predictors of positive 68Ga-PSMA PET and the accuracy of this technique. Materials and methods: Diagnostic accuracy cross-sectional study with prospective and retrospective approaches. We performed a comprehensive literature search on PubMed, Cochrane Library, and Embase database in search of studies including PC patients submitted to radical prostatectomy or radiotherapy with curative intent and presented biochemical recurrence following ASTRO 1996 criteria. A total of 35 studies involving 3910 patients submitted to 68-Ga-PSMA PET were included and independently assessed by two authors: 8 studies on diagnosis, four on staging, and 23 studies on restaging purposes. The significance level was α=0.05. Results: pooled sensitivity and specificity were 0.90 (0.86-0.93) and 0.90 (0.82-0.96), respectively, for diagnostic purposes; as for staging, pooled sensitivity and specificity were 0.93 (0.86-0.98) and 0.96 (0.92-0.99), respectively. In the restaging scenario, pooled sensitivity and specificity were 0.76 (0.74-0.78) and 0.45 (0.27-0.58), respectively, considering the identification of prostate cancer in each described situation. We also obtained specificity and sensitivity results for PSA subdivisions. Conclusion: 68Ga-PSMA PET provides higher sensitivity and specificity than traditional imaging for prostate cancer.

Clinical application and progress of quantitative functional magnetic resonance imaging in prostate cancer / 中南大学学报(医学版)

Magnetic resonance imaging (MRI) is a very important imaging method for diagnosis and treatment of prostate cancer (PCa) in clinical practice. As functional MRI is growing and maturing, its quantitative parameters are expected to enhance the clinical value of MRI furtherly. Intravoxel incoherent motion diffusion imaging, diffusion tensor imaging, and diffusion kurtosis imaging, which were derived from diffusion weighted imaging, have provided richer and more accurate parameters. The newly-developed magnetic resonance elastography can complement the mechanical characteristics of PCa.

Progress in diagnosis of bone metastasis of prostate cancer / 中南大学学报(医学版)

The diagnosis of bone metastasis of prostate cancer (PC) is of great significance to the treatment and prognosis of patients with PC.Bone scan is the most commonly used in the early diagnosis of bone metastasis, but its specificity is low and there is a high false positive.In recent years, with the in-depth study of the application of CT, MRI, emission computed tomography (ECT), positron emission computed tomography/computed tomography (PET/CT) and deep learning algorithm-convolutional neural networks (CNN) in the diagnosis of bone metastasis, the combined application of various auxiliary parameters in the diagnosis of bone metastasis has significantly been improved. The therapeutic effect of PC patients with bone metastasis can also be evaluated, which is expected to achieve the treatment of bone metastasis as well as diagnosis. By systematically expounding the research progress of the above-mentioned techniques in the diagnosis of bone metastasis, it can provide clinicians with new methods for the diagnosis of bone metastasis and improve the diagnostic efficiency for bone metastasis.

Risk factors for prostate cancer in male patients with MRI-negative and PSA-abnormal findings / 中华男科学杂志

Objective@#To investigate the risk factors for clinically significant PCa diagnosed by transrectal ultrasound-guided systematic prostate biopsy in patients with MRI-negative and PSA-abnormal findings.@*METHODS@#From January 2014 to December 2017, 335 male patients with MRI-negative (PI-RADS 2.0 score ≤ 2) and PSA-abnormal (4－30 ng/ml ) findings underwent systematic prostate biopsy guided by transrectal ultrasound under local anesthesia in our department. We collected and analyzed the demographic data, clinical symptoms, complications, past history and PSA density (PSAD) of the patients.@*RESULTS@#Clinically significant PCa was diagnosed in 21 (6.3%) of the 335 patients. Multivariate logistic regression analysis showed that the independent risk factors were higher age (AUC: 0.704, P 71 years old or with PSAD >0.18 ng/ml/ml so as to avoid missed diagnosis and unnecessary invasive biopsy as well. /.

Detecting and grading prostate cancer in radical prostatectomy specimens through deep learning techniques

OBJECTIVES: This study aims to evaluate the ability of deep learning algorithms to detect and grade prostate cancer (PCa) in radical prostatectomy specimens. METHODS: We selected 12 whole-slide images of radical prostatectomy specimens. These images were divided into patches, and then, analyzed and annotated. The annotated areas were categorized as follows: stroma, normal glands, and Gleason patterns 3, 4, and 5. Two analyses were performed: i) a categorical image classification method that labels each image as benign or as Gleason 3, Gleason 4, or Gleason 5, and ii) a scanning method in which distinct areas representative of benign and different Gleason patterns are delineated and labeled separately by a pathologist. The Inception v3 Convolutional Neural Network architecture was used in categorical model training, and a Mask Region-based Convolutional Neural Network was used to train the scanning method. After training, we selected three new whole-slide images that were not used during the training to evaluate the model as our test dataset. The analysis results of the images using deep learning algorithms were compared with those obtained by the pathologists. RESULTS: In the categorical classification method, the trained model obtained a validation accuracy of 94.1% during training; however, the concordance with our expert uropathologists in the test dataset was only 44%. With the image-scanning method, our model demonstrated a validation accuracy of 91.2%. When the test images were used, the concordance between the deep learning method and uropathologists was 89%. CONCLUSION: Deep learning algorithms have a high potential for use in the diagnosis and grading of PCa. Scanning methods are likely to be superior to simple classification methods.

PSA density of the lesion: a mathematical formula that uses clinical and pathological data to predict biochemical recurrence in prostate cancer patients / Densidade de PSA da lesão: uma fórmula matemática baseada em dados clínicos e patológicos para prever a recidiva bioquímica em pacientes com câncer de próstata

ABSTRACT A main challenge in the clinical management of prostate cancer is to identify which tumor is aggressive and needs invasive treatment. Thus, being able to predict which cancer will progress to biochemical recurrence is a great strategy to stratify prostate cancer patients. With that in mind, we created a mathematical formula that takes into account the patients clinical and pathological data resulting in a quantitative variable, called PSA density of the lesion, which has the potential to predict biochemical recurrence. To test if our variable is able to predict biochemical recurrence, we use a cohort of 219 prostate cancer patients, associating our new variable and classic parameters of prostate cancer with biochemical recurrence. Total PSA, lesion weight, volume and classic PSA density were positively associated with biochemical recurrence (p<0.05). ISUP score was also associated with biochemical recurrence in both biopsy and surgical specimen (p<0.001). The increase of PSA density of the lesion was significantly associated with the biochemical recurrence (p=0.03). Variables derived from the formula, PSA 15% and PSA 152, were also positive associated with the biochemical recurrence (p=0.01 and p=0.002 respectively). Logistic regression analysis shows that classic PSA density, PSA density of the lesion and total PSA, together, can explain up to 13% of cases of biochemical recurrence. PSA density of the lesion alone would have the ability to explain up to 7% of cases of biochemical recurrence. In conclusion, this new mathematical approach could be a useful tool to predict disease recurrence in prostate cancer.

RESUMO Um dos principais desafios no manejo clínico do câncer de próstata é identificar qual tumor é agressivo e precisa de tratamento invasivo. Assim, ser capaz de prever qual irá progredir para recorrência bioquímica é uma ótima estratégia para estratificar pacientes com câncer de próstata. Pensando nisso, criamos uma fórmula matemática que leva em consideração os dados clínicos e patológicos resultando em uma variável quantitativa, denominada densidade de PSA da lesão, que tem potencial para predizer recidiva bioquímica. Para testar se nossa variável é capaz de predizer recorrência bioquímica, usamos uma coorte de 219 pacientes com câncer de próstata, associando nossas variáveis e parâmetros clássicos como a recorrência bioquímica. PSA total, peso da lesão, volume e densidade de PSA clássico foram associados com recorrência bioquímica (p<0,05). O escore ISUP também foi associado à recorrência bioquímica na biópsia e na amostra cirúrgica (p<0,001). O aumento da densidade do PSA da lesão foi significativamente associado à recidiva bioquímica (p=0,03). As variáveis ??derivadas da fórmula, PSA 15% e PSA 152, também foram associadas positivamente à recorrência bioquímica (p=0,01 e p=0,002 respectivamente). A análise de regressão logística mostra que a densidade do PSA clássico, do PSA da lesão e PSA total, juntos, podem explicar até 13% dos casos de recorrência. A densidade de PSA da lesão por si só poderia explicar até 7% dos casos de recorrência. Em conclusão, esta nova abordagem matemática pode ser uma ferramenta útil para prever a recorrência da doença no câncer de próstata.

Does mpMRI guidance improve HIFU partial gland ablation compared to conventional ultrasound guidance? Early functional outcomes and complications from a single center

ABSTRACT Background Focal therapy (FT) for localized prostate cancer (PCa) treatment is raising interest. New technological mpMRI-US guided FT devices have never been compared with the previous generation of ultrasound-only guided devices. Materials and Methods We retrospectively analyzed prospectively recorded data of men undergoing FT for localized low- or intermediate-risk PCa with US- (Ablatherm®-2009 to 2014) or mpMRI-US (Focal One®-from 2014) guided HIFU. Follow-up visits and data were collected using internationally validated questionnaires at 1, 2, 3, 6 and 12 months. Results We included n=88 US-guided FT HIFU and n=52 mpMRI-US guided FT HIFU respectively. No major baseline differences were present except higher rates of Gleason 3+4 for the mpMRI-US group. No major differences were present in hospital stay (p=0.1), catheterization time (p=0.5) and complications (p=0.2) although these tended to be lower in the mpMRI-US group (6.8% versus 13.2% US FT group). At 3 months mpMRI-US guided HIFU had significantly lower urine leak (5.1% vs. 15.9%, p=0.04) and a lower drop in IIEF scores (2 vs. 4.2, p=0.07). Of those undergoing 12-months control biopsy in the mpMRI-US-guided HIFU group, 26% had residual cancer in the treated lobe. Conclusion HIFU FT guided by MRI-US fusion may allow improved functional outcomes and fewer complications compared to US- guided HIFU FT alone. Further analysis is needed to confirm benefits of mpMRI implementation at a longer follow-up and on a larger cohort of 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.

Relación de las cinéticas del PSA en la detección de la recurrencia del cáncer de próstata post prostatectomía radical con la 18f-colina tomografía por emisión de positrones/tomografía computada [PET/TC colina (PETC)] / Kinetic Relation Between PSA and 18F-choline PET/ CT in the Detection of Recurrent Prostatic Cancer After Radical Prostatectomy

Resumen Objetivo: El objetivo de este estudio es evaluar la relación de las cinéticas del antígeno prostático específico (PSA por su sigla en inglés) con la positividad de la tomografía por emisión de positrones/tomografía computada [PET/TC colina (PETC)]en pacientes con una recaída de cáncer de próstata (RCP). Materiales y métodos: Se realizó un trabajo retrospectivo de 48 pacientes con RCP post prostatectomía radical (PR) evaluados con PETC. Resultados: La PETC negativa tuvo una mediana de 16,3 meses y la PETC positiva de 5,5 meses (p = < 0,001) para el tiempo de doblaje de PSA (PSADT por su sigla en inglés); la PETC fue positiva en el 96% de los pacientes con un PSADT< 12 meses. La PETC negativa tuvo una mediana de 0,03 ng/ml/año y la PETC positiva de 4,1 ng/ml/año (p = < 0,001) para la velocidad del PSA (PSAVpor su sigla en inglés); la PETC fue positiva en el 92% de los pacientes con un PSAV > 0,75 ng/ml/año. Las áreas bajo la curva ROC para PSAV fue de 0,984 con un punto de corte de mayor discriminación de 0.785 ng/ml/año, mostrando razones de verosimilitud (LR por su sigla en inglés) LR + = 25 y LR- = 0,1. Para PSADT el ROC fue de 0,992 con un punto de corte de mayor discriminación de 11 meses, mostrando LR + = 11 y LR- = 0. Discusión: El PSA es un indicador inespecífico de PETC positiva. Un estudio inicial demostró que los pacientes con una RCP con una PETC positiva tenían un menor PSADT y una mayor PSAV que los pacientes con una PETC negativa. Conclusión: La positividad de la PETC se vio influenciada por las cinéticas del PSA, observándose que a menor PSADT y que a mayor PSAV mayor fue la probabilidad de la positividad de la PETC.

Abstract Purpose: The aim of this study is to evaluate the relationship between Prostate-Specific Antigen (PSA) kinetics and the detection of Prostate Cancer Relapse (PCR) with Positron-Emission Tomography (PETC). Material and methods: A retrospective study of 48 patients with a PCR after a radical prostatectomy evaluated with PETC was performed. Results: PSA Doubling Time (PSADT), with negative PETC, had a median of 16.3 months and the positive PETC a median of 5.5 months (p = < 0.001); 96% of patients with a PSADT <12 months had positive PETC. PSA Velocity (PSAV), negative PETC, had a median of 0.03 ng/ml/year and positive PETC a median of 4.1 ng/ml/year (p = < 0.001); 92% of patients who had a PSAV > 0.75 ng/ml/year had positive PETC. The ROC for PSAV was 0.984 with a cut-off value of 0.785 ng/ml/year, Showing Likelihood Ratios (LR) LR + = 25 and LR- = 0.1. The ROC for PSADT was 0.992 with a cut off value of 11 months, showing LR + = 11 and LR- = 0. Discussion: PSA is a nonspecific indicator of positive PETC. An initial study demon-strated that patients with a PCR and positive PETC had lower PSADT and higher PSAV than patients with a negative PETC. Conclusion: The rate of detection of PCR with PETC was influenced by the kinetics of PSA, and it was observed that the lower the PSADT and the higher the PSAV, the greater the probability of the positivity of the PETC.

Prostate volume measurement by multiparametric magnetic resonance and transrectal ultrasound: comparison with surgical specimen weight / Avaliação do volume prostático obtido por ressonância magnética multiparamétrica da próstata e ultrassonografia transretal comparado ao peso da peça cirúrgica

ABSTRACT Objective To assess accuracy of multiparametric magnetic resonance of the prostate to estimate gland volume, comparing the results with transrectal ultrasound and surgical specimen. Methods A retrospective study of 85 patients who underwent multiparametric magnetic resonance and transrectal ultrasound (for fusion image-guided biopsy) before radical prostatectomy. Prostate measurements were obtained from magnetic resonance axial and sagittal T2-weighted images and ultrasound; the prostate volume was determined using the ellipsoid formula. The results were compared with the surgical specimen weight. Maximum interval between multiparametric magnetic resonance imaging, transrectal ultrasound, and prostatectomy was 6 months. Results The prostate volume measured by multiparametric magnetic resonance imaging was 18-157cm3 (mean of 49.9cm3) and by transrectal ultrasound, 22-165cm3 (mean of 54.9cm3); the surgical specimen weight was 20-154g (mean of 48.6g), with no statistical differences. Based on the values obtained from imaging examinations, the prostate volume obtained was very close to the real prostatic weight, and the measures by multiparametric magnetic resonance were slightly more precise. Conclusion Prostate volume measured by multiparametric magnetic resonance imaging and transrectal ultrasound showed similar values, and excellent agreement with real prostate weight of the surgical specimens. Prostate volume measured by magnetic resonance has been increasingly used in the clinical practice, and its value enables appropriate therapeutic planning and control of patients.

RESUMO Objetivo Avaliar a acurácia da ressonância magnética multiparamétrica da próstata para estimativa do volume da glândula, comparando seus resultados com a ultrassonografia transretal e correlacionando com o volume obtido da peça cirúrgica. Métodos Estudo retrospectivo incluindo 85 pacientes submetidos à ressonância magnética e, posteriormente, à ultrassonografia transretal (para orientação de biópsia com fusão de imagens) e, a seguir, à prostatectomia radical. As dimensões prostáticas foram obtidas na ressonância a partir das imagens nos planos axial e sagital em sequências ponderadas em T2 e, assim como na ultrassonografia, o volume foi calculado a partir do método da elipsoide. Os valores foram comparados com o peso prostático pós-cirúrgico. O intervalo máximo entre a ressonância e ultrassonografia e prostatectomia foi de 6 meses. Resultados O volume prostático obtido por ressonância magnética foi de 18 a 157cm3(média de 49,9cm3); pela ultrassonografia transretal, foi de 22 a 165cm3(média de 54,9cm3); e o peso da peça cirúrgica foi de 20 a 154g (média de 48,6g), sem diferenças estatísticas. A partir do valor obtido por esses métodos de imagem, provou-se que o volume prostático obtido aproximou-se bastante do peso real da próstata, com discreta maior precisão das medidas obtidas por ressonância magnética multiparamétrica. Conclusão As medidas do volume prostático adquiridas pela ressonância magnética e pela ultrassonografia transretal são semelhantes entre si, com excelente concordância com os pesos reais das próstatas obtidos das peças cirúrgicas. A avaliação desse dado, a partir da ressonância, método cada vez mais utilizado na prática clínica, permite o adequado planejamento terapêutico e o controle dos pacientes.

Densidad de APE en pacientes PI-RADS 3: un parámetro clínico útil para su manejo / PSA density as a new approach for PIRADS 3 patient's management

Resumen: Objetivo: Analizar las biopsias realizadas en paciente categorizados PIRADS 3 en nuestra institución desde el segundo semestre del año 2016 al primer semestre del año 2018 y describir la correlación de la densidad de PSA con la incidencia de cáncer de próstata. Evaluar el rol de la densidad de PSA en la indicación de estudio histológico en pacientes PIRADS 3. Método: Trabajo autorizado por el comité de ética de nuestra institución. Se realizó búsqueda en el PACs, de todos los informes de RM multiparamétricas de próstata que incluyeran la categoría ¨PIRADS 3¨ en el periodo señalado. De ellos se calculó la densidad de PSA, con el último valor de PSA registrado en la ficha clínica previo a RM y volumen prostático en RM. Se procedió a buscar los pacientes con estudio histológico. Se correlacionó los resultados de biopsias con el valor de densidad de PSA. Realizamos análisis uni y multivariados, análisis estadísticos con sensibilidad, especificidad y uso de curva ROC. Resultados: De las 2416 RMmp de próstata realizadas en nuestra institución en las fechas ya descritas, se encontraron 424 informes catalogados con score PIRADS 3, y 267 de esos pacientes tenían estudio y seguimiento institucional, de los cuales 134 contaban con biopsia. La muestra tenía un promedio de edad de 60 años, y una mediana de densidad de PSA de 0,10 (RIC 0,07-0,14). Se encontraron 36 biopsias con cáncer clínicamente significativo (Gleason > 6), lo que corresponde a 26,8% de la muestra, valor similar al encontrado en la literuatua. En estos pacientes se obtuvo un punto de corte óptimo de densidad de PSA de 0,11, con una sensibilidad y especificidad de 67% y un AUC de 0,68. Una densidad de PSA de 0,11 presenta un OR de 4,1, con una probabilidad de 4 veces más de encontrar un cáncer de próstata por sobre este valor (IC 95% 1,3-9,8), lo cuál es estadísticamente significativo con un p igual a 0,01. Conclusión: La DAPE sobre 0,11 ng/ml/cc puede considerarse como una herramienta adicional para indicar biopsia en pacientes con RMmp PI-RADS 3, aumentando la precisión para la detección de cáncer de próstata clínicamente significativos ayudando a disminuir estudios histológicos innecesarios.

Abstract: Objective: To analyze the biopsies performed in patients categorized PIRADS 3 in our institution from the second half of 2016 to the first half of 2018 and describe the correlation of PSA density with the incidence of prostate cancer. To evaluate the role of PSA density in the indication of histological study in PIRADS 3 patients. Method: Work authorized by the ethics committee of our institution. The PACs were searched for all multiparameter prostate MRI reports that included the category "PIRADS 3" in the period indicated. The PSA density was calculated, with the last PSA value recorded in the clinical record before MRI and prostate volume in MRI. We proceeded to look for patients with the histological study. The biopsy results were correlated with the PSA density value. We perform uni and multivariate analyzes, statistical analyzes with sensitivity, specificity and use of the ROC curve. Results: Of the 2416 RMmp of the prostate performed in our institution on the dates already described, 424 reports catalogued with PIRADS 3 score were found, and 267 of those patients had study and institutional follow-up, of which 134 had a biopsy. The sample had an average age of 60 years and a median PSA density of 0.10 (RIC 0.075-0.146). We found 36 biopsies with clinically significant cancer (Gleason> 6), which corresponds to 26.8% of the sample, a value similar to that found in the literature. In these patients, an optimal cut-off point of PSA density of 0.11 was obtained, with a sensitivity and specificity of 67% and an AUC of 0.68. A PSA density of 0.11 has an OR of 4.1, with a 4-fold probability of finding prostate cancer above this value (95% CI 1.3-9.8), which It is statistically significant with a p equal to 0.01. Conclusion: DAPE over 0.11 ng/ml/cc can be considered as an additional tool to indicate biopsy in patients with RMmp PI-RADS 3, increasing the accuracy for the detection of clinically significant prostate cancer helping to reduce unnecessary histological studies.