Polish journal of radiology最新文献

{"title":"Diagnostic and prognostic value of coronary artery calcium scoring and computed tomography angiography in coronary artery disease: a systematic review and meta-analysis.","authors":"Mamta Panda, Mehwish Showkat, Lalit Kumar Gupta","doi":"10.5114/pjr/214798","DOIUrl":"10.5114/pjr/214798","url":null,"abstract":"<p><p>Coronary artery disease (CAD) remains a leading cause of disability and death worldwide. Noninvasive tests are crucial to ensure early diagnosis and risk stratification. The coronary artery calcium scoring (CACS), a non-invasive measure obtained using non-contrast computed tomography, reflects the calcific plaque burden, and may provide important diagnostic and prognostic information. This study aimed to systematically review and meta-analyze the recent literature to ascertain the diagnostic and prognostic usefulness of CACS in patients with suspected or established CAD. A literature search was conducted in PubMed, Scopus, and Web of Science for studies published between 2008 and 2024. The studies were included if they evaluated the prognostic and diagnostic value of CACS, either alone or with computed tomography angiography (CTA). Data extraction was performed for pooled sensitivities and specificities, hazard ratios (HRs), and event-free survival. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) criteria were used to assess methodological quality. Fourteen high-quality studies with a total of more than 80,000 patients were meta-analyzed. Subjects with CAC ≥ 100 were at a significantly increased risk of developing major adverse cardiac events (HR 2.7; 95% confidence interval: 2.1-3.6). CACS is highly beneficial in diagnostic discrimination (pooled sensitivity 88%, specificity 77%) in those presenting with chest pain but no prior history of CAD. It is essential to emphasize that CAC score of zero correlates with the best prognosis and very low rates of clinical events across various populations, including patients with diabetes and asymptomatic individuals. The CACS fills a special niche as a very strong predictor and non-invasive marker in the diagnosis and prognosis of CAD. Combining calcium scoring with CTA benefits clinical decision-making, particularly for patients categorized as low to intermediate risk.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e163-e168"},"PeriodicalIF":0.0,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13184945/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147984957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Secondary signs combined with renal pelvis urine density on preoperative CT as a predictor of infection following ureteroscopic lithotripsy with chronic kidney disease.","authors":"Mingbin Xu, Zechun Peng, Shuming He, Daoyuan Li, Chengyang Li","doi":"10.5114/pjr/217731","DOIUrl":"10.5114/pjr/217731","url":null,"abstract":"<p><strong>Purpose: </strong>Retrospective studies have explored the association between computed tomography (CT)-derived secondary signs and renal pelvic urine density (RPUD) with postoperative infection after ureteroscopic lithotripsy (URSL). This study evaluated the prognostic value of these indicators in chronic kidney disease (CKD) patients.</p><p><strong>Material and methods: </strong>Clinical data of patients undergoing URSL for ureteral calculi at two tertiary hospitals from June 2015 to June 2025 were retrospectively collected. Patients were categorized into infection and non-infection groups. Baseline demographics, stone characteristics, RPUD, perinephric fat stranding (PFS), tissue rim sign (TRS), CKD history, and intraoperative variables were compared. Independent predictors were identified via multivariate logistic regression, and a nomogram was constructed.</p><p><strong>Results: </strong>Postoperative infection occurred in 102 patients (12.6%). The infection group had significantly higher rates of positive preoperative urine culture, diabetes, larger stone diameter, longer operation time, advanced CKD stage, elevated RPUD, and increased incidence of PFS and TRS (all <i>p</i> < 0.05). Multivariate analysis confirmed these variables as independent risk factors. The nomogram demonstrated strong discrimination (C-index = 0.932).</p><p><strong>Conclusions: </strong>Elevated RPUD combined with positive CT secondary signs (PFS and TRS) is significantly associated with postoperative infection risk in CKD patients undergoing URSL. These easily obtainable non-contrast computed tomography-derived markers offer a novel and practical approach for preoperative risk stratification, enabling individualized preventive strategies and surgical optimization in this high-risk population.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e154-e162"},"PeriodicalIF":0.0,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13182694/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147977401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative myocardial hypoperfusion on coronary CTA: correlation with left atrial and left ventricular functional parameters.","authors":"Safiye Sanem Dereli Bulut, Sevde Nur Emir","doi":"10.5114/pjr/214559","DOIUrl":"10.5114/pjr/214559","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the association between myocardial hypodensity on standard coronary computed tomography angiography (CCTA) and echocardiographic diastolic dysfunction (DD) grade, and to evaluate correlations between hypodensity percentage and CT-derived left atrium (LA) and left ventricular (LV) functional parameters.</p><p><strong>Material and methods: </strong>This retrospective study included 156 patients (mean age 47.9 ± 11.4 years, 86 men) who underwent CCTA for suspected coronary artery disease and had comprehensive echocardiographic data. Myocardial hypodensity was quantified as the percentage of LV myocardium with attenuation < 46 HU using semi-automated, patient-specific attenuation mapping. Left atrial ejection fraction (LAEF) and volumes were derived from multiphase CCTA reconstructions, and echocardiographic diastolic dysfunction was classified as per American Society of Echocardiography and the European Association of Cardiovascular Imaging (ASE/EACVI) 2016 guidelines. Coronary artery disease (CAD) severity (CAD-RADS 2.0) and cardiovascular risk (SMART score) were also recorded. Correlation, ROC, and multivariate regression analyses were performed; a data-driven LAEF threshold was used to stratify impaired atrial function.</p><p><strong>Results: </strong>Hypodensity percentage correlated inversely with LAEF (<i>ρ</i> = -0.41, <i>p</i> < 0.001) and left ventricle ejection fraction (LVEF) (<i>ρ</i> = -0.29, <i>p</i> = 0.006), and positively with LA volume (<i>ρ</i> = 0.34, <i>p</i> = 0.002). ROC analysis showed that a hypodensity threshold of 9.5% predicted reduced LAEF (< 47%) with 36% sensitivity and 71% specificity (AUC = 0.67, <i>ρ</i> < 0.05). Hypodensity increased across DD grades: 5.7% (grade 1), 12.6% (grade 2), and 24.8% (grade 3), <i>ρ</i> < 0.001.</p><p><strong>Conclusions: </strong>Quantitative myocardial hypodensity on CCTA correlates with subclinical diastolic dysfunction and LA functional impairment. These findings support the potential of incorporating perfusion metrics into routine CCTA workflows to improve early diastolic assessment.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e148-e153"},"PeriodicalIF":0.0,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13182695/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147977467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors associated with false-negative Kaiser score results in breast magnetic resonance imaging.","authors":"Hülya Çetin Tunçez","doi":"10.5114/pjr/217365","DOIUrl":"10.5114/pjr/217365","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the Kaiser score (KS) on magnetic resonance imaging (MRI) in patients diagnosed with breast cancer and to identify clinical, pathological, and radiological factors associated with false-negative Kaiser score.</p><p><strong>Material and methods: </strong>This retrospective study included 120 histopathologically proven breast cancer masses. Non-mass enhancements were excluded. The KS of each lesion was determined based on MRI features. Clinicopathological features and imaging findings were also analyzed. Univariate and multivariate regression analyses were used to identify factors associated with false-negative KS results in breast cancer diagnosis.</p><p><strong>Results: </strong>One hundred eleven (92%) of the cases had a KS of 5 or higher, yielding a true-positive result. Nine (8%) had a score below 5, yielding a false-negative result. In univariate regression analysis, a history of breast cancer (<i>p</i> = 0.008), tumor size less than 2 cm (<i>p</i> = 0.001), and human epidermal growth factor receptor 2 (HER2) positivity (<i>p</i> = 0.049) were found to be statistically significantly associated with false-negative KS. In multivariate analysis, only tumor size was found to be associated with false-negative KS (<i>p</i> = 0.018).</p><p><strong>Conclusions: </strong>The Kaiser score carries a risk of false-negative KS, especially in small tumors. Therefore, evaluation in conjunction with clinical risk factors, histopathological features, and additional imaging parameters is recommended. Furthermore, KS is a valuable decision-support tool in breast MRI.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e140-e147"},"PeriodicalIF":0.0,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13182696/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of AI assistance in the evaluation of unenhanced chest CT scans in an emergency setting.","authors":"Matteo Bonatti, Bernardo Proner, Vincenzo Vingiani, Riccardo Valletta, Luca Saba","doi":"10.5114/pjr/214555","DOIUrl":"10.5114/pjr/214555","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the potential role of artificial intelligence (AI)-based software in assisting radiologists with reporting unenhanced chest computed tomography (CCT) scans in an emergency setting.</p><p><strong>Material and methods: </strong>It was an IRB-approved retrospective study, and the need for informed consent was waived. We included 90 unenhanced CCT scans performed in an emergency setting over a 2-month period (November-December 2024). Anonymized original reports were retrieved. Axial 3 mm thick multiplanar reconstructions were processed using commercially AI-based software (xAid Chest, xAID LLC, Barcelona, Spain). All scans were subsequently re-evaluated by two radiologists in consensus (reference standard). Detection of lung nodules, lung opacifications, emphysema, coronary calcification, aortic dilatation, pulmonary dilatation, pleural effusion, pericardial effusion, pneumothorax, rib fractures, vertebral fractures, and adrenal masses was compared between original reports, AI outputs, and image revision.</p><p><strong>Results: </strong>In the original reports, the frequency of reported findings ranged from 96.7% (pleural effusion) to 5.6% (pulmonary artery dilatation); among the described findings, the positivity rate ranged from 100% (emphysema) to 11.4% (pericardial effusion). The AI software demonstrated non-inferior sensitivity and specificity compared to the reporting radiologist in terms of sensitivity in all pathologies, excluding emphysema. For several findings that are not routinely reported by radiologists (coronary calcifications, pulmonary dilatation, vertebral fractures), the AI system outperformed the radiologist in sensitivity, albeit with a trade-off in specificity.</p><p><strong>Conclusion: </strong>AI is a valuable tool for assisting radiologists in reporting unenhanced CCT scans in an emergency setting.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e132-e139"},"PeriodicalIF":0.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13182698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intravoxel incoherent motion diffusion-weighted imaging in the staging of rectal non-mucinous adenocarcinoma.","authors":"Yunus Yasar, Fatma Kulali, Ozgul Duzgun, Yasar Bukte","doi":"10.5114/pjr/215289","DOIUrl":"10.5114/pjr/215289","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the role of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in the prediction of histological differentiation and local invasion (T stage) of rectal non-mucinous adenocarcinoma for appropriate treatment planning.</p><p><strong>Material and methods: </strong>Pre-operative magnetic resonance imaging (MRI) and IVIM-DWI examinations were prospectively performed in patients with rectal non-mucinous adenocarcinoma. A total of 36 patients with a mean age of 61 ± 8 years (range: 26-85 years) were included. Size, signal intensities and enhancement pattern of tumors, lymphadenopathy, serosal involvement, adjacent organ invasion, and metastasis were noted. IVIM-DWI parameters were estimated. Relationships between IVIM-DWI parameters and histopathological results were analyzed using Mann-Whitney <i>U</i> and Kruskal-Wallis tests. Receiver operating characteristic analysis was performed for optimal cut-off values.</p><p><strong>Results: </strong>In our study, a total of 36 patients were enrolled. There was a negative relationship between tumor differentiation and perfusion (<i>f</i>) (<i>p</i> < 0.05). A negative relationship was detected between T staging and true diffusion (<i>D</i>), pseudo-diffusion coefficient (<i>D</i>*) and apparent diffusion coefficient (<i>ADC</i>) values (<i>p</i> < 0.05). Lower <i>D, D</i>*, and <i>ADC</i> values were detected in late stage (T3-T4) rectal tumors and nodal metastasis (<i>p</i> < 0.05). Lower f values were achieved in higher histological grades (<i>p</i> < 0.05). In differentiation of poorly from well- and moderately differentiated tumors, cut-off value of < 20.89 showed 88.5% sensitivity and 85.7% specificity (area under the curve: 0.771, <i>p</i> < 0.05).</p><p><strong>Conclusions: </strong>Aggressive tumors with low histological differentiation and metastatic lymphadenopathy exhibit lower diffusion and perfusion values. As a perfusion indicator, f provides valuable information regarding tumor differentiation. IVIM-DWI can be used as an adjunctive modality to routine abdominal MRI in the local staging of rectal carcinoma.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e124-e131"},"PeriodicalIF":0.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13182697/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CT-based texture analysis for preoperative prediction of key histopathological features in laryngeal cancer.","authors":"Ahmet Bozer, Fatma Ceren Sarioglu, İlker Burak Arslan, Ulku Kucuk, Yeliz Pekçevik","doi":"10.5114/pjr/215538","DOIUrl":"10.5114/pjr/215538","url":null,"abstract":"<p><strong>Purpose: </strong>Laryngeal squamous cell carcinoma (LSCC) is a malignancy with significant morbidity and mortality. Accurate preoperative assessment of key histopathological features, including lymph node metastasis (LNM), extranodal extension (ENE), lymphovascular invasion (LVI), perineural invasion (PNI), and thyroid cartilage invasion (TCI), is crucial for optimising treatment strategies. Computed tomography (CT)-based texture analysis, a radiomics approach, has shown potential in identifying tumour heterogeneity and aggressive histopathological behaviour. The aim of the study was to evaluate the predictive value of CT-based texture analysis for detecting key histopathological features in LSCC and assess its potential as a non-invasive tool for preoperative risk stratification.</p><p><strong>Material and methods: </strong>This retrospective study included 32 LSCC patients who underwent contrast-enhanced neck CT within 4 weeks before surgery. Texture features were extracted using LIFEx software. Mann-Whitney <i>U</i> tests and receiver operating characteristic (ROC) curve analyses were performed to assess diagnostic performance.</p><p><strong>Results: </strong>Significant texture features were identified for LNM, ENE, and TCI (<i>p</i> < 0.05). GLZLM_HGZE ≤ 4635 predicted LNM with an AUC of 0.847 (95% CI: 0.708-0.986), sensitivity of 71%, and specificity of 84%. For ENE, GLZLM_HGZE ≤ 4625 achieved an AUC of 0.891, sensitivity of 85%, and specificity of 84%. TCI prediction was highest with GLZLM_SZLGE ≥ 0.00118 (AUC: 0.964, 95% CI: 0.909-1.000), with sensitivity of 88% and specificity of 93%. No significant predictors were found for LVI or PNI.</p><p><strong>Conclusions: </strong>CT-based texture analysis is a promising non-invasive tool for preoperative risk assessment in LSCC, particularly for LNM, ENE, and TCI. Further validation in larger studies is warranted.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e115-e123"},"PeriodicalIF":0.0,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13182700/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiphase CT-derived markers for the characterization of large solid and cystic renal masses by histology and grade.","authors":"Yulian Mytsyk","doi":"10.5114/pjr/213876","DOIUrl":"10.5114/pjr/213876","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to evaluate the diagnostic performance of multiphase contrast-enhanced computed tomography (MCECT) for differentiating benign and malignant renal masses > 4 cm, and in predicting renal cell carcinoma (RCC) subtypes and grade, using signal intensity (SI) and tumor-to-cortex signal intensity ratio (TCSI).</p><p><strong>Material and methods: </strong>A retrospective analysis was performed on 190 patients with renal tumors > 4 cm (120 solid and 70 cystic lesions). All solid tumors and 49 cystic lesions (Bosniak IIF-IV) underwent histopathological verification. MCECT was performed in four phases: pre-contrast, corticomedullary (CMP), nephrographic (NP), and excretory (EP). SI and TCSI were measured and analyzed using receiver operating characteristic analysis. Cluster and principal component analyses were applied to evaluate enhancement-based classification.</p><p><strong>Results: </strong>For solid masses, excretory phase SI reached an area under the curve (AUC) of 0.844 for distinguishing RCC from other tumors (98.8% sensitivity, 69.4% specificity). Differentiating RCC from benign tumors using EP SI achieved an AUC of 0.745. CMP SI enabled separation of RCC subtypes, especially chRCC vs. pRCC (AUC = 0.983). SI of NP differentiated low- from high-grade ccRCC with an AUC of 0.969 (100% sensitivity, 90.9% specificity). Among Bosniak IIF cysts, EP TCSI ≥ 0.40 identified malignancy with 88.9% sensitivity and 100% specificity (AUC = 0.951). Cluster analysis grouped tumors by vascularity-based enhancement. Lymph node assessment showed no significant SI differences between pN1 and pN0.</p><p><strong>Conclusions: </strong>SI and TCSI from MCECT are accurate, non-invasive markers for histologic and biologic characterization of large renal masses. CMP and EP provide the highest diagnostic value. These enhancement parameters may improve radiologic workflows and support clinical decision-making.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e95-e114"},"PeriodicalIF":0.0,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13182699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpretable hybrid deep learning model for Parkinson's disease screening using hand-drawn spiral and waveform images.","authors":"Garima Verma","doi":"10.5114/pjr/213689","DOIUrl":"10.5114/pjr/213689","url":null,"abstract":"<p><strong>Purpose: </strong>It is still hard to diagnose Parkinson's disease (PD) early and correctly, since the motor symptoms are often relatively mild and there are no unique diagnostic tools. The goal of this project was to create and test a hybrid deep learning model that can accurately classify PD by using hand-drawn spiral and waveform pictures.</p><p><strong>Material and methods: </strong>A novel two-channel hybrid model was created, where the input representation combines normalised greyscale features and Canny edge features to capture both spatial and structural stroke patterns from patient drawings. The model combines a convolutional neural network (CNN) with hand-crafted grey-level co-occurrence matrix (GLCM) features to enhance its performance and make it easier to understand. We trained and evaluated three different models: a baseline CNN, a fusion CNN + GLCM, and a fine-tuned ResNet-50. We did this on both the original and pre-processed datasets.</p><p><strong>Results: </strong>The hybrid CNN + GLCM model that used pre-processing had the best classification accuracy at 97.02% and worked well on datasets that were not used to train it. Statistical studies validated the importance of enhancements in performance relative to baseline models.</p><p><strong>Conclusions: </strong>The suggested technique provides a straightforward, comprehensible, and efficient approach for PD screening using easily administered drawing exercises. Its great precision and low equipment needs make it a good candidate for use in real-world clinical settings.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e75-e94"},"PeriodicalIF":0.0,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13169494/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147944355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In-bore MRI-guided prostate biopsy: current evidence, clinical applications, and future directions.","authors":"Katarzyna Skrobisz, Wojciech Polom, Justyna Rembak-Szynkiewicz, Marcin Matuszewski","doi":"10.5114/pjr/212568","DOIUrl":"10.5114/pjr/212568","url":null,"abstract":"<p><p>Prostate cancer is the second most common malignancy in men and a leading cause of cancer-related mortality worldwide. Accurate diagnosis is essential to guide therapeutic decision-making and to avoid the overtreatment of indolent tumors. In-bore magnetic resonance imaging-guided prostate biopsy (IB-MRGB) represents the most precise magnetic resonance imaging (MRI)-targeted technique for detecting clinically significant prostate cancer (csPCa). This review summarizes the current evidence, technical aspects, clinical relevance, and future perspectives of IB-MRGB. A comprehensive literature review was performed using PubMed, Scopus, and Embase, including studies that evaluated diagnostic performance, procedural workflow, and integration with focal therapies. IB-MRGB demonstrates high sensitivity (80-96%) and specificity (82-90%) for the detection of csPCa. It is particularly effective in biopsy-naïve patients with Prostate Imaging Reporting and Data System (PI-RADS) ≥ 3 lesions, in men with prior negative transrectal ultrasound-guided biopsies but persistent clinical suspicion, and in the context of active surveillance or focal therapy planning. Key advantages include superior lesion targeting and a reduction in the overdiagnosis of Gleason 3 + 3 tumors, whereas the main limitations are higher cost, longer procedure duration, and limited MRI availability. IB-MRGB aligns closely with the principles of precision oncology by enabling accurate diagnosis, risk stratification, and optimized treatment planning. Ongoing developments in artificial intelligence, radiomics, and MRI-guided interventions are expected to further enhance diagnostic efficiency and expand the clinical role of this technique.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"91 ","pages":"e68-e74"},"PeriodicalIF":0.0,"publicationDate":"2026-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13169491/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147944360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}