Benign Prostatic Lesions Research Articles

Technetium-99m-methylene diphosphonate single photon emission computed tomography/computed tomography combined with prostate-specific antigen/free prostate-specific antigen ratio for bone metastasis of prostate cancer.

Prostate cancer (PC) is one of the most common malignant tumors in men, and bone metastasis is one of its common complications, which seriously affects the quality of life and prognosis of patients. To investigate the diagnostic value of technetium-99m-methylene diphosphonate (99mTc-MDP) single photon emission computed tomography (SPECT)/CT imaging combined with the serum prostate-specific antigen (PSA)/free PSA ratio for PC bone metastasis (PCBM). One hundred patients with PC who visited the Hospital of Chengdu University of Traditional Chinese Medicine from January 2020 to January 2022 were recruited as the experimental (Exp) group, while 30 patients with benign prostatic lesions (BPLs) were recruited as the control (Ctrl) group. All patients underwent 99mTc-MDP SPECT/CT imaging and serum PSA/fPSA testing. The SPECT/CT imaging results and serum PSA/fPSA ratios of patients were analyzed to evaluate their diagnostic values for PCBM. The difference in general information of the patients was not obvious, showing comparability. The two methods showed no visible differences in negative predictive value and sensitivity for patients with PCBM, but had great differences in positive predictive value and specificity (P < 0.05). The PSA/fPSA ratio of patients with PC in the Exp group was lower than those with BPLs, and patients with PCBM had a much lower PSA/fPSA ratio than those without PC (P < 0.05). The results confirmed that the combined use of 99mTc-MDP SPECT/CT imaging and serum PSA/fPSA ratio achieved a detection rate of 95% for PCBM. The combination of 99mTc-MDP SPECT/CT and PSA/fPSA ratio is accurate and reliable for the diagnosis of PCBM, which provides an important reference for clinical practice.

Enhancing prostate cancer diagnosis and reducing unnecessary biopsies with [18F]DCFPyL PET/CT imaging in PI-RADS 3/4 patients

For patients presenting with prostate imaging reporting and data system (PI-RADS) 3/4 findings on magnetic resonance imaging (MRI) examinations, the standard recommendation typically involves undergoing a biopsy for pathological assessment to ascertain the nature of the lesion. This course of action, though essential for accurate diagnosis, invariably amplifies the psychological distress experienced by patients and introduces a host of potential complications associated with the biopsy procedure. However, [18F]DCFPyL PET/CT imaging emerges as a promising alternative, demonstrating considerable diagnostic efficacy in discerning benign prostate lesions from malignant ones. This study aims to explore the diagnostic value of [18F]DCFPyL PET/CT imaging for prostate cancer in patients with PI-RADS 3/4 lesions, assisting in clinical decision-making to avoid unnecessary biopsies. 30 patients diagnosed with PI-RADS 3/4 lesions through mpMRI underwent [18F]DCFPyL PET/CT imaging, with final biopsy pathology results as the “reference standard”. Diagnostic performance was assessed through receiver operating characteristic (ROC) analysis, evaluating the diagnostic efficacy of molecular imaging PSMA (miPSMA) visual analysis and semi-quantitative analysis in [18F]DCFPyL PET/CT imaging. Lesions were assigned miPSMA scores according to the prostate cancer molecular imaging standardized evaluation criteria. Among the 30 patients, 13 were pathologically confirmed to have prostate cancer. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of visual analysis in [18F]DCFPyL PET/CT imaging for diagnosing PI-RADS 3/4 lesions were 61.5%, 88.2%, 80.0%, 75.0%, and 76.5%, respectively. Using SUVmax 4.17 as the optimal threshold, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for diagnosis were 92.3%, 88.2%, 85.7%, 93.8%, and 90.0%, respectively. The area under the ROC curve (AUC) for semi-quantitative analysis was 0.94, significantly higher than visual analysis at 0.80. [18F]DCFPyL PET/CT imaging accurately diagnosed benign lesions in 15 (50%) of the PI-RADS 3/4 patients. For patients with PI-RADS 4 lesions, the positive predictive value of [18F]DCFPyL PET/CT imaging reached 100%. [18F]DCFPyL PET/CT imaging provides potential preoperative prediction of lesion nature in mpMRI PI-RADS 3/4 patients, which may aid in treatment decision-making and reducing unnecessary biopsies.

The Added Value of Diffusion Weighted MR Images in Assessment of Benign Prostatic Lesions and Prostatic Carcinoma

The Added Value of Diffusion Weighted MR Images in Assessment of Benign Prostatic Lesions and Prostatic Carcinoma

Prostate cancer reshapes the secreted and extracellular vesicle urinary proteomes

Urine is a complex biofluid that reflects both overall physiologic state and the state of the genitourinary tissues through which it passes. It contains both secreted proteins and proteins encapsulated in tissue-derived extracellular vesicles (EVs). To understand the population variability and clinical utility of urine, we quantified the secreted and EV proteomes from 190 men, including a subset with prostate cancer. We demonstrate that a simple protocol enriches prostatic proteins in urine. Secreted and EV proteins arise from different subcellular compartments. Urinary EVs are faithful surrogates of tissue proteomes, but secreted proteins in urine or cell line EVs are not. The urinary proteome is longitudinally stable over several years. It can accurately and non-invasively distinguish malignant from benign prostatic lesions and can risk-stratify prostate tumors. This resource quantifies the complexity of the urinary proteome and reveals the synergistic value of secreted and EV proteomes for translational and biomarker studies.

A hospital-based study of prostate biopsy results in Indian males.

The prostate is a gland belonging to the male reproductive system. Aging results in the dysfunction of the prostate that may present as inflammation, enlargement, and cancer. Additionally, the diseases of the prostate including cancers are slow in progression, and therefore, it is difficult to diagnose them early. Hence, it is increasingly important for physicians to recommend histopathological examination of the prostate gland to identify, manage, and treat prostate cancers. This study was conducted to assess prostate diseases among biopsy specimen collected from patients with signs of prostate diseases. This prospective study was conducted in the Department of Pathology, Deccan College of Medical Sciences, Owaisi Hospital, Hyderabad, between June 2012 and September 2014. All gross specimens (n = 300) of the prostate such as the needle biopsies of the prostate, transurethral resection of the prostate (TURP) chips, and excised specimens of the prostate were included in the study. Histopathological examinations of the biopsies were performed for nuclear size, chromatin material, nucleoli, membrane thickness, irregularity, cytoplasmic granularity, staining, and cell border conspicuity. The biopsies were also assessed for lobule formation, secretions, polymorphonuclear leukocytes, lymphocytes, macrophages, connective tissue stromal cells, their arrangements, and acellular connective tissue material. Of 300 total prostatic biopsies performed, 56 (18.66%) were identified as inflammatory lesions of the prostate (prostatitis), 98 (32.66%) revealed benign prostatic lesions (benign prostatic hyperplasia (BPH)), 112 (37.33%) were identified as BPH with premalignant lesions, and 34 (11.33%) were revealed as malignant tumors of the prostate. Chronic prostatitis (67.85%) was the common inflammatory lesion. The majority (91.42%) revealed epithelial lesions compared to stromal lesions (08.58%). BPH was predominantly (28.00%) noticed among patients in the age group of 61-70 years. Prostatic intraepithelial neoplasia (PIN) was observed majorly (53.35%) in the age group of 61-70 years. Most of the prostatic cancers were identified as adenocarcinomas. However, three variants were also categorized as small cell carcinoma, signet ring cell carcinoma, and transitional cell carcinomas. The results reveal that prostatic adenocarcinomas are predominant among the study population. Additionally, prostatic diseases including cancer are commonly noticed among people belonging to the age group of 61-70 years. More than one-third of patients showed BPH with premalignant lesions, and a majority of the study population showed evidence of chronic prostatitis.

To study ERG expression in benign, pre-neoplastic, and neoplastic lesions of prostate

Background: Prostate cancer (PCa) is the second most common malignancy in men and the sixth leading cause of death. Clinical course of PCa is highly variable and current clinico pathological parameters are unable to predict accurately the course of the disease because of genetic heterogeneity seen in this tumor. Aims and Objectives: The aim of the study was to study the prevalence of E26 transformation-specific-related gene (ERG) expression in benign and malignant lesions of prostate in Northern Indian patients. Whether ERG expression using immunohistochemical (IHC) methods can also be used for differentiating various lesions of the prostate gland is also evaluated. Materials and Methods: This is an observational study conducted on 50 biopsy specimens encompassing different lesions of prostate. The study was carried out in the Department of Pathology at Integral Institute of Medical Sciences and Research, Lucknow, India, during the period January 2020–September 2022. Results: Amongst 50 cases of prostatic lesions included in the study, there were 20 cases of benign prostatic hyperplasia (BPH), 17 cases of benign mimicker lesions and 13 cases of PCa. ERG expression was absent in all cases of BPH and benign mimicker lesions. ERG expression was seen in 38.5% of cases of PCa. Conclusion: In our study, none of the patients of BPH or benign mimicker lesion expressed ERG on IHC, while 38.5% of patients of PCa showed positive staining. This figure differs from reports from other parts of the world. ERG expressions can be a potential therapeutic target for personalized treatment in a subset of patients of PCa. However, it was not found to be a sensitive marker for the diagnosis of PCa.

Arterial embolization in the treatment of benign and malignant prostate lesions

Arterial embolization in the treatment of benign and malignant prostate lesions

Quiz CORRECT ANSWER TO THE QUIZ. CHECK YOUR DIAGNOSIS Prostatic paraganglia-hyperplasia - ahistological mimic ofintraprostatic adipose tissue.

Prostatic paraganglia (PP) can simulate adenocarcinoma's fused gland pattern, and adifferential diagnostic panel is developed. Their differential diagnosis with benign prostatic lesions has been largely unreported. Intraprostatic adipose tissue (IPAT) is seen extremely rarely in prostatic specimens, but it must be known, to avoid false positive results for extraprostatic fat carcinomatous invasion in needle biopsy specimens. We present one case from 100 randomly selected radical prostatectomy specimens in which our diagnosis evolved from IPAT to PP-hyperplasia, after additional immunohistochemical investigations. Thepresence ofPP-hyperplasia, with both parenchymal and neurovascular bundle location, and its differential diagnosis with IPAT has not been previously reported.

Tissue S100/calgranulin expression and blood neutrophil-to-lymphocyte ratio (NLR) in prostatic disorders in dogs

BackgroundProstatic carcinoma (PCA) is a rare but severe condition in dogs that is similar to the androgen-independent form of PCA in men. In contrast to humans, PCA is difficult to diagnose in dogs as reliable biomarkers, available for PCA screening in human medicine, are currently lacking in small animal oncology. Calprotectin (S100A8/A9) and S100A12 are Ca2+-binding proteins of the innate immune system with promising potential to distinguish malignant from benign urogenital tract conditions, similar to the blood neutrophil-to-lymphocyte-ratio (NLR). However, both have not yet been extensively investigated in dogs with PCA. Thus, this study aimed to evaluate the expression of the S100/calgranulins (calprotectin, S100A12, and their ratio [Cal-ratio]) in prostatic biopsies from nine dogs with PCA and compare them to those in dogs with benign prostatic lesions (eight dogs with prostatitis and ten dogs with benign prostatic hyperplasia [BPH]) as well as five healthy controls. In addition, blood NLRs were investigated in twelve dogs with PCA and 22 dogs with benign prostatic conditions.ResultsTissue S100A8/A9+ cell counts did not differ significantly between tissue from PCA and prostatitis cases (P = 0.0659) but were significantly higher in dogs with prostatitis than BPH (P = 0.0013) or controls (P = 0.0033). S100A12+ cell counts were significantly lower in PCA tissues than in prostatitis tissue (P = 0.0458) but did not differ compared to BPH tissue (P = 0.6499) or tissue from controls (P = 0.0622). Cal-ratios did not differ significantly among the groups but were highest in prostatitis tissues and significantly higher in those dogs with poor prostatitis outcomes than in patients that were still alive at the end of the study (P = 0.0455). Blood NLR strongly correlated with prostatic tissue S100A8/A9+ cell counts in dogs with PCA (ρ = 0.81, P = 0.0499) but did not differ among the disease groups of dogs.ConclusionsThis study suggests that the S100/calgranulins play a role in malignant (PCA) and benign (prostatic inflammation) prostatic conditions and supports previous results in lower urinary tract conditions in dogs. These molecules might be linked to the inflammatory environment with potential effects on the inflammasome. The blood NLR does not appear to aid in distinguishing prostatic conditions in dogs. Further investigation of the S100/calgranulin pathways and their role in modulation of tumor development, progression, and metastasis in PCA is warranted.

The value of DISCO and MUSE-DWI combined with prostate specific antigen density in the diagnosis and risk stratification of prostate cancer

Objective: To explore the value of differential subsampling with cartesian ordering (DISCO) and multiplexed sensitivity-encoding diffusion weighted-imaging (MUSE-DWI) combined with prostate specific antigen density (PSAD) in the diagnosis and risk stratification of prostate cancer (PCa). Methods: The data of 183 patients [aged from 48 to 86 (68±8) years] with prostate diseases in the General Hospital of Ningxia Medical University from July 2020 to August 2021 were retrospectively collected. Those patients were divided into non-PCa group (n=115) and PCa group (n=68) based on the disease condition. According to the risk degree, PCa group was subdivided into low risk PCa group (n=14) and medium-to-high risk PCa group (n=54). The differences of volume transfer constant (Ktrans), rate constant (Kep), extracellular volume fraction (Ve), apparent diffusion coefficient (ADC) and PSAD between groups were analyzed. Receiver operating characteristic (ROC) curves analysis were conducted for evaluating the diagnostic efficacy of quantitative parameters and PSAD in distinguishing non-PCa and PCa, low-risk PCa and medium-high risk PCa. Multivariate logistic regression model was used for screening out the predictors, which was statistically significant differences between non-PCa group and PCa group, for PCa prediction. Results: Ktrans, Kep, Ve and PSAD of PCa group all were higher than those of non-PCa group, and ADC value was lower than that of non-PCa group, and the differences all were statistically significant (all P<0.001). Ktrans, Kep and PSAD of medium-to-high risk PCa group all were higher than those of low risk PCa group, and ADC value was lower than that of low risk PCa group, and the differences were all statistically significant (all P<0.001). When distinguishing non-PCa from PCa, the area under ROC curve (AUC) of the combined model (Ktrans+Kep+Ve+ADC+PSAD) was higher than that of any single index [0.958 (95%CI: 0.918-0.982) vs 0.881 (95%CI: 0.825-0.924), 0.836 (95%CI: 0.775-0.887), 0.672 (95%CI: 0.599-0.740), 0.940(95%CI: 0.895-0.969), 0.816(95%CI:0.752-0.869), all P<0.05]. When distinguishing low-risk PCa and medium-to-high risk PCa, the AUC of the combined model (Ktrans+Kep+ADC+PSAD) were higher than those of Ktrans, Kep and PSAD[0.933 (95%CI: 0.845-0.979) vs 0.846 (95%CI:0.738-0.922), 0.782 (95%CI:0.665-0.873), 0.84 8(95%CI: 0.740-0.923), all P<0.05]. The multivariate logistic regression analysis showed that Ktrans (OR=1.005, 95%CI:1.001-1.010) and ADC values (OR=0.992, 95%CI:0.989-0.995) were predictors of PCa (P<0.05). Conclusions: DISCO and MUSE-DWI combined with PSAD can distinguish benign and malignant prostate lesions. Ktrans and ADC values were predictors of PCa; Ktrans, Kep, ADC values and PSAD are helpful in predicting the biological behavior of PCa.

The value of machine learning models based on biparametric MRI for diagnosis of prostate cancer and clinically significant prostate cancer

Objective: To evaluate the value of machine learning (ML) models based on biparametric magnetic resonance imaging (bpMRI) for diagnosis of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). Methods: A total of 1 368 patients, aged from 30 to 92 (69.4±8.2) years, from 3 tertiary medical centers in Jiangsu Province were retrospectively collected from May 2015 to December 2020, including 412 cases of csPCa, 242 cases of clinically insignificant prostate cancer (ciPCa) and 714 cases of benign prostate lesions. The data of center 1 and center 2 were randomly divided into training cohort and internal testing cohort at a ratio of 7∶3 by random number sampling without replacement using Python Random package, and the data of center 3 were used as the independent external testing cohort. The training cohort includs 243 cases of csPCa, 135 cases of ciPCa and 384 cases of benign lesions, the internal testing cohort includs 104 cases of csPCa, 58 cases of ciPCa and 165 cases of benign lesions, and the external testing cohort includs 65 cases of csPCa, 49 cases of ciPCa and 165 cases of benign lesions. The radiomics features were extracted on T2-weighted imaging, diffusion-weighted imaging and apparent diffusion coefficient map, and optimal radiomics features were selected by using Pearson correlation coefficient method and analysis of variance. The ML models were built using two ML algorithms, including support vector machine and random forest (RF) and were further tested in the internal testing cohort and external testing cohort. Finally, the PI-RADS scores evaluated by the radiologists were adjusted by the ML models which had superior diagnostic performance, namely adjusted PI-RADS. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the ML models and PI-RADS. DeLong test was used to compare the areas under curve (AUC) of models with those of PI-RADS. Results: For PCa diagnosis, in internal testing cohort, the AUC of ML model using RF algorithm and PI-RADS were 0.869 (95%CI: 0.830-0.908) and 0.874 (95%CI: 0.836-0.913), respectively, and the difference between the model and PI-RADS did not reach to the statistical significance (P=0.793). In the external testing cohort, the AUC of model and PI-RADS were 0.845 (95%CI: 0.794-0.897) and 0.915 (95%CI: 0.880-0.951), respectively, and the difference was statistically significant (P=0.01). For csPCa diagnosis, the AUC of ML model using RF algorithm and PI-RADS were 0.874 (95%CI: 0.834-0.914) and 0.892 (95%CI: 0.857-0.927), respectively, in internal testing cohort, and the difference between the model and PI-RADS was not statistically significant (P=0.341). In the external testing cohort, the AUC of model and PI-RADS were 0.876 (95%CI: 0.831-0.920) and 0.884 (95%CI: 0.841-0.926), respectively, and the difference between the model and PI-RADS was not statistically significant (P=0.704). When PI-RADS assessment was adjusted with the assistance of ML models, the specificities increased from 63.0% to 80.0% in the internal testing cohort and from 92.7% to 93.3% in the external test group in diagnosing PCa. In diagnosing csPCa, the specificities increased from 52.5% to 72.6% in the internal testing cohort and from 75.2% to 79.9% in the external testing cohort. Conclusions: The ML models based on bpMRI showed comparable diagnostic performance to PI-RADS assessed by senior radiologists and achieved good generalization ability in both diagnosing PCa and csPCa. The specificities of the PI-RADS were improved by ML models.

Value of synthetic MRI quantitative parameters in preprocedural evaluation for TRUS/MRI fusion-guided biopsy of the prostate.

Transrectal ultrasonography (TRUS)/magnetic resonance imaging (MRI) fusion-guided biopsy has a high clinical application value. However, this technique has some limitations, which limit its use in routine clinical practice. Therefore, the selection of suitable proatate lesions for this technique is worthy of our attention. Synthetic MRI (SyMRI) is capable of quantifying multiple relaxation parameters, which might have potential value in preprocedural evaluation for TRUS/MRI fusion-guided biopsy of the prostate. The aim of our study is to examine the value of SyMRI quantitative parameters in preprocedural evaluation for TRUS/MRI fusion-guided biopsy of the prostate. We prospectively selected 148 lesions in 137 patients who underwent prostate biopsy in our hospital. Next, 2-4 needles of TRUS/MRI fusion-guided biopsy combined with 10 needles of system biopsy(SB) were used as the protocol for prostate biopsy. Before biopsy, the MAGiC sequences of the MRI images of the enrolled patients underwent post-processing, and the longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) were extracted. The biopsy pathology results were used as a gold standard to compare the differences in SyMRI quantitative parameters between benign and malignant prostate lesions in the peripheral and transitional zones. The receiver operating characteristic (ROC) curves were plotted to confirm the optimal SyMRI quantitative parameter for prostate lesion benignancy/malignancy performance, and the cutoff values of these parameters were used for grouping the lesions. The single-needle biopsy prostate cancer (PCa)-positivity rates (number of positive biopsy needles/total biopsy needles) and PCa overall detection rates by TRUS/MRI fusion-guided biopsy and SB were compared in different subgroups. The T1 and T2 values can determine the benignancy/malignancy of prostate transition lesions(p < 0.01), and the T2 value has a greater diagnostic performance (p = 0.0376). The T2 value can determine the benignancy/malignancy of prostate peripheral lesions. The optimal diagnostic cutoff values for T2 were 77 and 81 ms, respectively. The single-needle PCa positivity rate of TRUS/MRI fusion-guided biopsy was higher than SB for any prostate lesions in different subgroups (p < 0.01). However, only in the subgroup of transition zone lesions with T2 ≤ 77 ms, the PCa overall detection rate of TRUS/MRI fusion-guided biopsy was significantly higher than that of SB (p = 0.031). SyMRI-T2 value can provide a theoretical basis for the selection of suitable lesions for TRUS/MRI fusion-guided biopsy.

Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate.

The most common cancer (non-cutaneous) malignancy among men is prostate cancer. Management of prostate cancer, including staging and treatment, playing an important role in decreasing mortality rates. Among all current diagnostic tools, multiparametric MRI (mp-MRI) has shown high potential in localizing and staging prostate cancer. Quantification of mp-MRI helps to decrease the dependency of diagnosis on readers' opinions. The aim of this research is to set a method based on quantification of mp-MRI images for discrimination between benign and malignant prostatic lesions with fusion-guided MR imaging/transrectal ultrasonography biopsy as a pathology validation reference. It is an analytical research that 27 patients underwent the mp-MRI examination, including T1- and T2- weighted and diffusion weighted imaging (DWI). Quantification was done by calculating radiomic features from mp-MRI images. Receiver-operating-characteristic curve was done for each feature to evaluate the discriminatory capacity and linear discriminant analysis (LDA) and leave-one-out cross-validation for feature filtering to estimate the sensitivity, specificity and accuracy of the benign and malignant lesion differentiation process is used. An accuracy, sensitivity and specificity of 92.6%, 95.2% and 83.3%, respectively, were achieved from a subset of radiomics features obtained from T2-weighted images and apparent diffusion coefficient (ADC) maps for distinguishing benign and malignant prostate lesions. Quantification of mp-MRI (T2-weighted images and ADC-maps) based on radiomics feature has potential to distinguish benign with appropriate accuracy from malignant prostate lesions. This technique is helpful in preventing needless biopsies in patients and provides an assisted diagnosis for classifications of prostate lesions.

Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade.

Improved molecular diagnosis is needed in prostate cancer (PC). Fine needle aspiration (FNA) is a minimally invasive biopsy technique, less traumatic compared to core needle biopsy, and could be useful for diagnosis of PC. Molecular biomarkers (BMs) in FNA-samples can be assessed for prediction, eg of immunotherapy efficacy before treatment as well as at treatment decision time points during disease progression. In the present pilot study, the expression levels of 151 BM proteins were analysed by proximity extension assay in FNA-samples from 16 patients, including benign prostate lesions (n= 3) and cancers (n= 13). An ensemble data analysis strategy was applied using several machine learning models. Twelve potentially predictive BM proteins correlating with International Society of Urological Pathology grade groups were identified, among them vimentin, tissue factor pathway inhibitor 2, and integrin beta-5. The validity of the results was supported by network analysis that showed functional associations between most of the identified putative BMs. We also showed that multiple immune checkpoint targets can be assessed (eg PD-L1, CD137, and Galectin-9), which may support the selection of immunotherapy in advanced PC. Results are promising but need further validation in a larger cohort. Our pilot study represents a "proof of concept" and shows that multiplex profiling of potential diagnostic and predictive BM proteins is feasible on tumour material obtained by FNA sampling of prostate cancer. Moreover, our results demonstrate that an ensemble data analysis strategy may facilitate the identification of BM signatures in pilot studies when the patient cohort is limited.

Amide Proton Transfer-weighted MRI combined with serum prostate-specific antigen levels for differentiating malignant prostate lesions from benign prostate lesions: a retrospective cohort study

BackgroundEarly diagnosis of prostate cancer improves its prognosis, while it is essential to upgrade screening tools. This study aimed to explore the value of a novel functional magnetic resonance imaging (MRI) technique, namely amide proton transfer (APT)-weighted MRI, combined with serum prostate-specific antigen (PSA) levels to differentiate malignant prostate lesions from benign prostate lesions.MethodsData of patients who underwent prostate examinations at Chongqing University Cancer Hospital between July 2019 and March 2022 were retrospectively analyzed. All patients underwent T2-weighted imaging (T2WI), APT, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) MRI. Two radiologists analyzed the images independently. The ability of the quantitative parameters alone or in different combinations in differentiating malignant prostate lesions from benign prostate lesions were compared by using receiver operating characteristic (ROC) curves. According to the DeLong test, the combined parameters were significantly different from the corresponding single parameter (P < 0.05).ResultsA total of 79 patients were finally enrolled, including 52 patients in the malignant group and 27 patients in the benign group. The separate assessment of indexes revealed that APTmax, APTmean, mean apparent diffusion coefficient (ADCmean), ADCmax, ADCmin, tPAD, free prostate-specific antigen (FPSA), FPSA/total prostate-specific antigen (tPSA), and PSA density (PSAD) were significantly different between the two groups (P < 0.05), while APTmin was not significantly different between the two groups (P > 0.05). APTmax and APTmean had the high values of area under the ROC curve (AUC), which were 0.780 and 0.710, respectively. APTmax had a high sensitivity, and APTmean had a high specificity. The combination of APTmax, APTmean, ADCmean, and PSAD had the highest AUC value (AUC: 0.880, sensitivity: 86.540, specificity: 78.260).ConclusionAPTmax, APTmean, ADCmean, ADCmin, tPAD, FPSA, and PSAD showed to have a high value in differentiating malignant prostate lesions from benign prostate lesions in the separate assessment of indexes. The combination of APTmax, APTmean, ADCmean, and PSAD had the highest diagnostic value.

Clinicopathological correlation of various prostatic lesions with serum prostate-specific antigen level – A hospital-based cross-sectional study

Background: The prostate is a male reproductive accessory gland which gives rise to several pathological conditions. The present study aims to study the correlation of histopathology of prostatic diseases with the clinical profile of the patient coming to VSS Medical College (VSSMC), Burla for histopathological reporting of prostatic biopsies. Aim and Objectives: The objectives of this study were as follows: (1) To correlate serum prostate-specific antigen (PSA) level with various clinical and pathological lesions of the prostrate gland, in a Hospital-based sample of Western Odisha population. (2) As the male gender represents almost half of the entire population, to find out different clinicopathological lesions, percentage-wise, so as to know the frequency of occurrence of such lesions. Materials and Methods: Fifty-seven cases of prostatic diseases were recorded in the Department of Pathology, VSSMC, Burla for histopathological examination of prostatic tissue for 2 years from September 2017 to August 2019. All the samples were fixed in 5 μ sections with 10% neutral buffered formalin. Then Hematoxylin and Eosin stain (H and E stain) was used for staining. Appropriate clinical data comprising signs and symptoms, laboratory findings, and serum PSA levels were recorded. Results: The present study, in the beginning, consisted of 64 patients, out of which seven patients were excluded by exclusion criteria, and finally, 57 cases were analyzed. The most prevalent age group for all prostatic diseases was 61–70 years with a mean of 67 years. The majority of the cases (73.67%) were benign mostly benign prostatic hyperplasia (BPH). Prostatic intraepithelial neoplasia (PIN) was 12.29% and malignant cases (all adenocarcinoma) were also 12.29%. All patients showed prostatomegaly. About 50% of cases suggestive of malignancy by digital rectal examination (DRE) were confirmed to be carcinoma by histopathological study. Serum creatinine level was raised in 16.27% of benign and 21.42% of premalignant and malignant conditions. Serum PSA level below 4 ng/mL were all benign and above 10 ng/mL were majority malignant conditions. However, at level 4–10 ng/mL, BPH and PIN cases were overlapped with cases of carcinoma. Conclusion: Benign prostatic hyperplasia is the most commonly encountered prostatic lesion. Serum PSA level &lt;4 ng/mL is associated with benign conditions and more than 10 ng/mL is associated more with carcinomas. Although, investigations such as DRE and serum PSA estimation aid in diagnosis, a definitive diagnosis of benign and malignant lesions of prostate can be made by histopathological study of prostatic biopsies.

Retracted: Magnetic Resonance Image Compilation Was Used in Conjunction with Prostate PI-RADS v2.1 Score Has Diagnostic Relevance for Benign and Malignant Prostate Lesions.

[This retracts the article DOI: 10.1155/2022/3613540.].

Benign and Malignant Diseases of The Prostate - A Clinicohistopathological Study

Background: Neoplastic and non-neoplastic prostate gland lesions are the main reasons for morbidity and mortality throughout the world. The risk of diseases increases with age. Basically, Prostate biopsy is a test which detects malignant and other benign conditions of the prostate in patients who have urinary symptoms. Other modalities of diagnosis also have been developed, comprising of radiological modalities and prostatic biomarkers. However, biopsy with microscopic examination is the gold standard for the ultimate diagnosis.&#x0D; Objectives: The present study was done to recognize and determine the different histopathological patterns of prostatic diseases and their clinical presentation correlations.&#x0D; Patients and methods: Reviewing of 194 patient specimens of prostatic tissues in the department of pathology, faculty of medicine, university of Benghazi from January to December 2009 was conducted. The received specimens were fixed in 10% neutral buffered formalin and routine paraffin processing followed by hematoxyline and eosin staining was done. All the specimens were analysed with following parameters: type of specimen, age of patient, histopathological pattern and final diagnosis. With application of modified Gleason scoring for grading.&#x0D; Results: 131 TURP, 42 needle biopsies, and 21 prostatectomy specimens were assessed, they were grouped into benign, premalignant, and malignant disorders. Modified Gleason`s Scoring was used to score the prostatic adenocarcinoma. The Mean of all patient's age was 70.7 years. 153 (78.87%) were benign, 7 (3.6%) were premalignant and 34 (17.53%) cases were malignant. Malignant to benign ratio (1: 4.7). Age ranged was 24-100 years. The most frequent disease encountered was BPH, mainly in the sixth decade. Glandular-stromal pattern was more frequently seen (86.8%), followed by glandular predominance (13.2%). Concomitant conditions such as prostatitis, Basal cell hyperplasia, squamous metaplasia, and atypical adenomatous hyperplasia (AAH) (premalignant) were observed. Among the malignant conditions, acinar adenocarcinoma was the commonest disease seen in sixth and seventh decades by (91%), and Gleason`s score 7 was the commonest. One of the cases was metastatic TCC from urinary bladder.&#x0D; Conclusion: Benign lesions of prostate are more common than malignant lesions, most commonly encountered in age group of 61 to 70 years. There is a major difference in symptoms between malignant and benign conditions. More studies are needed in future to identify environmental and social factors contributing prostate disease.

T1 Mapping of the Prostate Using Single-Shot T1FLASH: A Clinical Feasibility Study to Optimize Prostate Cancer Assessment.

The aim of this study was to assess the clinical feasibility of magnetic resonance imaging (MRI) T1 mapping using T1FLASH for assessment of prostate lesions. Participants with clinical suspicion for prostate cancer (PCa) were prospectively enrolled between October 2021 and April 2022 with multiparametric prostate MRI (mpMRI) acquired on a 3 T scanner. In addition, T1 mapping was accomplished using a single-shot T1FLASH technique with inversion recovery, radial undersampling, and iterative reconstruction. Regions of interest (ROIs) were manually placed on radiologically identified prostate lesions and representative reference regions of the transitional zone (TZ), benign prostate hyperplasia nodules, and peripheral zone (PZ). Mean T1 relaxation times and apparent diffusion coefficient (ADC) values (b = 50/b = 1400 s/mm 2 ) were measured for each ROI. Participants were included in the study if they underwent ultrasound/MRI fusion-guided prostate biopsy for radiologically or clinically suspected PCa. Histological evaluation of biopsy cores served as reference standard, with grading of PCa according to the International Society of Urological Pathology (ISUP). ISUP grades 2 and above were considered clinically significant PCa for the scope of this study. Histological results of prostate biopsy cores were anatomically mapped to corresponding mpMRI ROIs using biopsy plans. T1 relaxation times and ADC values were compared across prostate regions and ISUP groups. Across different strata, T1 relaxation time, ADC values, and diagnostic accuracy (area under the curve [AUC]) were compared using statistical methods accounting for clustered data. Of 67 eligible participants, a total of 40 participants undergoing ultrasound/MRI fusion-guided prostate biopsy were included. Multislice T1 mapping was successfully performed in all participants at a median acquisition time of 2:10 minutes without evident image artifacts. A total of 71 prostate lesions was radiologically identified (TZ 49; PZ 22). Among those, 22 were histologically diagnosed with PCa (ISUP groups 1/2/3/4 in n = 3/15/3/1 cases, respectively). In the TZ, T1 relaxation time was statistically significantly lower for PCa compared with reference regions ( P = 0.029) and benign prostate hyperplasia nodules ( P < 0.001). Similarly, in the PZ, PCa demonstrated shorter T1 relaxation times versus reference regions ( P < 0.001). PCa also showed a trend toward shorter T1 relaxation times (median, 1.40 seconds) compared with radiologically suspicious lesions with benign histology (median, 1.47 seconds), although statistical significance was not reached ( P = 0.066). For discrimination of PCa from reference regions and benign prostate lesions, T1 relaxation times and ADC values demonstrated AUC = 0.80 and AUC = 0.83, respectively ( P = 0.519). Discriminating PCa from radiologically suspicious lesions with benign histology, T1 relaxation times and ADC values showed AUC = 0.69 and AUC = 0.62, respectively ( P = 0.446). T1FLASH-based T1 mapping yields robust results for quantification of prostate T1 relaxation time at a short examination time of 2:10 minutes without evident image artifacts. Associated T1 relaxation times could aid in discrimination of significant and nonsignificant PCa. Further studies are warranted to confirm these results in a larger patient cohort, to assess the additional benefit of T1FLASH maps in conjunction with mpMRI sequences in the setting of deep learning, and to evaluate the robustness of T1FLASH maps compared with potentially artifact-prone diffusion-weighted imaging sequences.

SPECTRUM OF PATHOLOGIES IN PATIENTS WITH ENLARGED PROSTATE

Objective: To ascertain the frequency of various pathological disorders related to prostate so that benign lesions of prostate can be distinguished from adenocarcinoma prostate to avoid wrong diagnosis. Material and Methods: This study (descriptive cross sectional) was carried out in the Histopathology Department, Foundation University Medical College, DHA Islamabad from 1st August 2019 to 31st July 2020. A total 200 biopsy specimens from patients between 50 to 92 years of age were fixed in 10 % formalin. The samples were grossed and routinely processed under standard conditions for paraffin embedding. Haematoxylin and Eosin stains were used to stain the slides while special stains were used as per requirement. Microscopic evaluation was done by consultant histopathologists after correlating histopathological findings with clinical data. Results: Total 200 individuals were incorporated in this study. Age of patients ranged from 50 to 92 years. The mean age of study subjects was found to be 67 +9.64 years. Majority (37%) of individuals in the study belonged to age group of 61-70 years. Out of total 200 patients, 179 patients (89.5%) had diagnosis of Benign Prostatic Hyperplasia (BPH). Twenty patients (10%) were diagnosed with Adenocarcinoma prostate. One out of 200 patients (0.5%) was diagnosed as a case of Prostatitis with no other finding. Conclusion: Benign prostatic hyperplasia is most frequent pathology of patients with prostate enlargement. Prostate cancer needs to be distinguished from spectrum of benign lesions to avoid wrong diagnosis. Key Words: Adenocarcinoma prostate, Benign prostatic hyperplasia (BPH), Prostatitis.