World journal of radiology最新文献

{"title":"Magnetic resonance imaging as a non-invasive breast cancer tool - the relevance of breast edema score: A retrospective study.","authors":"Anna Vasilska, Silvia Tsvetkova, Katya Doykova, Lyubomir Chervenkov, Tsvetelina Velikova, Margarita Vasilska, Sara Sariyan","doi":"10.4329/wjr.v18.i4.119347","DOIUrl":"https://doi.org/10.4329/wjr.v18.i4.119347","url":null,"abstract":"<p><strong>Background: </strong>Breast magnetic resonance imaging (MRI) provides valuable information for tumor detection, as well as potential applications in molecular characterization and prognostication. A key feature detectable on MRI is the presence of breast edema, which has been associated with tumor aggressiveness and poorer clinical outcomes.</p><p><strong>Aim: </strong>To determine the correlation between intramammary edema patterns as observed on breast MRI and the histopathological and molecular characteristics of the tumor.</p><p><strong>Methods: </strong>In this retrospective single-center study, 123 women with biopsy-proven breast cancer underwent preoperative breast MRI from June 2022 to June 2025. The classification of edema was determined on T2-weighted images, divided into four breast edema score (BES) categories: BES-1 (no edema), BES-2 (peritumoral edema), BES-3 (prepectoral edema), and BES-4 (subcutaneous edema). The MRI findings were correlated with histological type, molecular subtype, receptor status, Ki67 index, and lymph node involvement. Data analysis was conducted using IBM SPSS Statistics for Windows, version 28.</p><p><strong>Results: </strong>Edema was observed in 45.5% of patients. Statistically significant correlation was observed between BES and molecular subtypes (<i>P</i> < 0.001), hormone receptor status (<i>P</i> < 0.001), and human epidermal growth factor receptor 2 expression (<i>P</i> < 0.001). Higher BES categories (BES 2-4) exhibited a higher prevalence in human epidermal growth factor receptor 2-positive and triple-negative tumors, while the absence of edema (BES-1) demonstrated a predominance in hormone receptor-positive subtypes.</p><p><strong>Conclusion: </strong>The presence and severity of MRI-based breast edema score have been found to correlate with aggressive molecular subtypes, underscoring the potential role of BES in prognostic stratification and guiding tailored treatment strategies.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 4","pages":"119347"},"PeriodicalIF":1.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13122042/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147782984","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":"Evaluation of adrenal incidentalomas: Current approaches, caveats, and unexplored issues.","authors":"Eleni Kouroglou, Vasiliki Tsiama, Evaggelia Stroumpouli, Christos Savvidis, Efthymia Kallistrou, Dimitra Ragia, Dimitra Motsiou, Stella Proikaki, Konstantinos Belis, Ioannis Ilias","doi":"10.4329/wjr.v18.i4.119833","DOIUrl":"https://doi.org/10.4329/wjr.v18.i4.119833","url":null,"abstract":"<p><p>The widespread use of high-resolution cross-sectional imaging over the past two decades has resulted in a marked increase - estimated at nearly ten-fold - in the incidental detection of adrenal masses greater than 1 cm, commonly termed adrenal incidentalomas (ADIs). A fundamental principle in their evaluation is the distinction between \"true ADIs\" - identified in patients without a history of malignancy or clinical suspicion of adrenal disease - and adrenal lesions detected during oncologic staging. This distinction is critical because the pre-test probability of malignancy differs substantially between these groups. In patients undergoing cancer staging, approximately half of adrenal masses may represent metastatic disease, whereas in true ADI populations, the risk of malignancy is typically below 1%. Failure to differentiate these populations risks inappropriate extrapolation of benign-prevalence data into high-risk oncologic contexts. The evaluation of an ADI has two primary objectives: Exclusion of malignancy and identification of hormonal hypersecretion. Although most ADIs are benign and nonfunctional, biochemical screening remains mandatory in most patients, except in those with limited life expectancy or critical illness. Mild autonomous cortisol secretion is the most prevalent functional abnormality, affecting 20% to 50% of patients, and is associated with increased cardiovascular, metabolic, and osseous morbidity. Cardiovascular event rates of 15.5% over approximately 50-60 months have been reported in affected populations. Radiological paradigms are evolving. A homogeneous lesion with attenuation ≤ 10 Hounsfield units on non-contrast computed tomography remains highly specific for a benign lipid-rich adenoma and, according to current European Society of Endocrinology guidance, requires no further imaging follow-up irrespective of size. Emerging evidence, however, suggests that in true ADIs < 4 cm, expanding the benignity threshold to ≤ 20 Hounsfield units may maintain a positive predictive value of 99.4%-99.8% while reducing unnecessary follow-up imaging. Conversely, the historical reliance on adrenal washout computed tomography is increasingly questioned due to limitations in excluding pheochromocytoma and concerns regarding cost-effectiveness. Future research priorities include prospective validation of expanded radiological thresholds, rigorous cost-effectiveness analyses, systematic assessment of psychiatric and quality-of-life outcomes, and evaluation of proposed etiological hypotheses.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 4","pages":"119833"},"PeriodicalIF":1.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13122100/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147782995","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":"Artificial intelligence-based lung nodule detection for pulmonary arteriovenous fistulas on chest computed tomography.","authors":"Kimei Azama, Nanae Tsuchiya, Shun Toyosato, Koji Yonemoto, Akihiro Nishie","doi":"10.4329/wjr.v18.i4.119851","DOIUrl":"https://doi.org/10.4329/wjr.v18.i4.119851","url":null,"abstract":"<p><strong>Background: </strong>Pulmonary arteriovenous fistulas (PAVFs) are abnormal vascular communications between pulmonary arteries and veins that may cause hypoxemia and paradoxical embolism. Because many patients are asymptomatic, PAVFs are often detected incidentally on chest computed tomography (CT). Accurate identification of PAVFs is clinically important for appropriate management; however, small or atypical lesions may be overlooked during routine interpretation. Computer-aided detection (CAD) systems for pulmonary nodules are widely used in clinical practice, but their ability to detect PAVFs has not been systematically evaluated. We hypothesized that a lung nodule-based artificial intelligence (AI)-CAD system could detect PAVFs on chest CT.</p><p><strong>Aim: </strong>To evaluate the detectability of PAVFs on chest CT using an AI-based CAD system for lung nodules.</p><p><strong>Methods: </strong>This retrospective observational study included 21 patients with 26 PAVFs identified at University of the Ryukyus Hospital between 2009 and 2021. Chest CT images, including non-contrast and contrast-enhanced scans, were analyzed using a commercially available AI-based lung nodule CAD system. Detection performance was classified as consistent, conditional, or failed detection, and lesion characteristics associated with successful detection were analyzed. Correlations between CAD-derived measurements and manual measurements were assessed using Pearson's correlation coefficient.</p><p><strong>Results: </strong>Among the 26 PAVFs, 15 lesions (58%) were consistently detected, 2 lesions (8%) were detected under certain imaging conditions, and 9 lesions (35%) were not detected, yielding an overall detection success rate of 65% (17/26). Detection rates did not differ significantly according to contrast phase (58% for non-contrast, 71% for pulmonary arterial phase, and 47% for parenchymal phase) or window setting (61% for lung window <i>vs</i> 58% for mediastinal window). Detection success was higher for complex-type lesions than for simple-type lesions (100% <i>vs</i> 59%, <i>P</i> = 0.26). CAD-derived maximum lesion length correlated strongly with manual measurements (<i>r</i> = 0.90, <i>P</i> < 0.001), as did CAD-derived lesion volume (<i>r</i> = 0.92, <i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>A lung nodule-based AI-CAD system detected a substantial proportion of PAVFs on chest CT and provided reliable quantitative measurements, supporting its potential adjunctive role in PAVF detection and follow-up.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 4","pages":"119851"},"PeriodicalIF":1.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13122071/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147783017","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":"Role of interventional radiology in the management of hepatic hydatid disease.","authors":"Divij Agarwal, Sai Krishna Gadwal, Yashant Aswani, Chandan J Das","doi":"10.4329/wjr.v18.i4.119319","DOIUrl":"https://doi.org/10.4329/wjr.v18.i4.119319","url":null,"abstract":"<p><p>Hydatid disease, caused by the larval stage of <i>Echinococcus granulosus</i>, is a significant public health problem in endemic regions and worldwide. The liver is the most frequently affected organ, followed by the lungs, in adults. Hepatic hydatid cysts (HHC) may remain asymptomatic for years and are often incidentally detected on imaging. Radiological evaluation plays a pivotal role in the diagnosis and classification of hydatid cysts into World Health Organization types (cystic lesion and cystic echinococcus 1 through cystic echinococcus 5). Further, imaging also helps plan appropriate management and assists in image-guided percutaneous interventions when appropriate. Treatment strategies for HHC include anthelmintic therapy, surgery, percutaneous interventions, and a \"watch and wait\" approach. With advances in interventional radiology, minimally invasive percutaneous techniques have emerged as effective and safer alternatives to surgery in select cases. Procedures such as puncture, aspiration, injection, and re-aspiration, standard catheterization technique, modified catheterization technique, percutaneous evacuation, and Örmeci technique have demonstrated high cure rates, with reduced morbidity and mortality. Surgical management remains reserved for cysts that are ruptured or show communication with biliary ducts, and for cysts located in challenging anatomical locations. This review discusses the role of interventional radiology in HHC, highlighting the indications, techniques, and recent advancements in percutaneous management strategies.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 4","pages":"119319"},"PeriodicalIF":1.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13122038/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147782970","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":"Letter to the Editor: Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma.","authors":"Ujjayita Chowdhury, Atharva A Mahajan, Muthu Subash Kavitha, Ramya Lakshmi Rajendran, Prakash Gangadaran, Byeong-Cheol Ahn","doi":"10.4329/wjr.v18.i4.118196","DOIUrl":"https://doi.org/10.4329/wjr.v18.i4.118196","url":null,"abstract":"<p><p>This letter to the editor discusses a recent multi-institutional study that developed a noninvasive deep learning-based radiomics score derived from preoperative magnetic resonance imaging (MRI) to predict event-free survival in pediatric hepatoblastoma. The original study by Yang and Li published in <i>World Journal of Radiology</i>, leveraged convolutional neural networks to extract high-dimensional features from T1 and T2 sequences, the researchers developed an integrated nomogram that combines these imaging signatures with traditional markers like alpha-fetoprotein and the pretreatment extension of disease stage. This model significantly outperforms standard clinical predictors, offering preliminary evidence for an MRI-based approach to preoperative risk stratification that warrants further large-scale validation.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 4","pages":"118196"},"PeriodicalIF":1.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13122067/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147783031","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":"Study of displayed radiation dose and size-specific dose estimate from computed tomography brain examinations in accordance to head sizes.","authors":"Anushka Chauhan, Sugandhi Sharma, Atul Mishra, Anurag Pathak, Kailash Kumar Mittal","doi":"10.4329/wjr.v18.i4.119450","DOIUrl":"https://doi.org/10.4329/wjr.v18.i4.119450","url":null,"abstract":"<p><strong>Background: </strong>This study is based on American Association of Physicist in Medicine (AAPM) task group (TG) report 204 to compare the displayed and calculated Radiation dose imparted to the patient in computed tomography (CT) head examination and the effective dose.</p><p><strong>Aim: </strong>To identify whether there is a difference between displayed radiation doses and size-specific dose in CT head imaging. For ruling out the possibility of dose estimation difference.</p><p><strong>Methods: </strong>A prospective cross-sectional study was done on CT head examinations using multidetector CT. The study included subjects aged between 18 and 60 years with no obvious morphological head deformities. We compared the size-specific dose estimate (SSDE) displayed and calculated where we used f factor for effective diameter from AAPM report 204 and manually calculated the SSDE for comparison. We also calculated the effective dose for head CT manually using dose-length product and k value from AAPM report 96.</p><p><strong>Results: </strong>The difference between SSDE Calculated and displayed was found to be -11.99%, the negative value depicts that the SSDE displayed in the patient dose chart in CT is much lower than the calculated SSDE. Hence it highly underestimates the dose received by the patient and further cancer risk estimation. We also found that the radiation dose received by patient is inversely related to the effective diameter of their head.</p><p><strong>Conclusion: </strong>The observed difference between the calculated and displayed dose values falls within the acceptable range of 10%-20% as recommended by the AAPM TG report 204, indicating consistency with established guidelines.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 4","pages":"119450"},"PeriodicalIF":1.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13122088/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147783075","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":"Adult ileocolic intussusception caused by a terminal ileal lipoma: A case report.","authors":"Jin-Xing Fan, Yu-Peng Jiang, Min-Quan Yao","doi":"10.4329/wjr.v18.i4.120706","DOIUrl":"https://doi.org/10.4329/wjr.v18.i4.120706","url":null,"abstract":"<p><strong>Background: </strong>Adult intussusception is a rare clinical condition. Unlike in pediatric cases, adult intussusception often has a definable lead point, with benign or malignant tumors being the most common etiology. Small intestinal lipoma is a rare cause of adult intussusception. It typically presents with non-specific symptoms and an insidious onset, frequently leading to misdiagnosis or discovery only during emergency surgery. Abdominal computed tomography (CT) plays a pivotal role in preoperative diagnosis, yet its specific findings in lipoma-induced intussusception warrant further emphasis.</p><p><strong>Case summary: </strong>A 30-year-old man presented with a one-week history of abdominal pain and distension, followed by dark red bloody stools for four days. Physical examination revealed abdominal distension and right lower quadrant tenderness without rebound tenderness. Laboratory tests showed mildly elevated inflammatory markers. Abdominal CT revealed ileocolic intussusception with a well-defined lesion at the lead point demonstrating homogeneous fat attenuation (approximately -53 Hounsfield units), a finding pathognomonic for a lipoma. Emergency exploratory laparotomy confirmed an irreducible ileal intussusception into the cecum and ascending colon. An ileocecal resection with side-to-side anastomosis was performed. Pathological examination of the resected specimen confirmed a 4.0 cm × 3.0 cm × 2.5 cm submucosal ileal lipoma with overlying mucosal erosion. The patient recovered well after surgery despite a minor wound infection, and no recurrence was observed during the five-month follow-up period.</p><p><strong>Conclusion: </strong>CT is the modality of choice for diagnosing ileal lipoma-induced intussusception, as it can definitively identify the pathognomonic fat-density lead point. Surgical resection remains the definitive treatment, yielding good outcomes.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 4","pages":"120706"},"PeriodicalIF":1.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13122092/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147782974","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":"Predictive model for vedolizumab efficacy in moderate-to-severe ulcerative colitis based on computed tomography-derived body compositions and nutritional inflammatory markers.","authors":"Xiao-Yan Zhang, Yu-Kun Li, Zi-Bin Tian, Qing-Yu Guo, Jing-Nong Liu, Rui-Qing Liu, Ke-Yu Ren","doi":"10.4329/wjr.v18.i3.117599","DOIUrl":"https://doi.org/10.4329/wjr.v18.i3.117599","url":null,"abstract":"<p><strong>Background: </strong>Vedolizumab (VDZ) is a key biologic for moderate-to-severe ulcerative colitis (UC), but therapeutic response varies widely among patients. The combined predictive value of computed tomography (CT)-derived body composition (<i>e.g.</i>, intramuscular adipose tissue, skeletal muscle mass), inflammatory markers [C-reactive protein (CRP)], and anemia status for VDZ efficacy remains under-investigated.</p><p><strong>Aim: </strong>To develop a predictive model for VDZ response in moderate-to-severe UC patients, based on CT-derived body composition and nutritional/inflammatory markers, and to clarify their clinical implications.</p><p><strong>Methods: </strong>A retrospective study was conducted on UC patients treated with VDZ at the Affiliated Hospital of Qingdao University. CT images were analyzed to quantify intramuscular adipose tissue and skeletal muscle mass. Clinical data including CRP levels and hemoglobin (HB) were collected. Multivariate logistic regression was used to identify independent predictors of treatment response, and a predictive model was constructed.</p><p><strong>Results: </strong>IMAT accumulation (odds ratio = 2.35, 95% confidence interval: 1.21-4.57, <i>P</i> = 0.012) and elevated CRP (odds ratio = 1.89, 95% confidence interval: 1.03-3.49, <i>P</i> = 0.041) were confirmed as independent predictors of poor VDZ response. Preserved skeletal muscle mass and normal HB levels were associated with better therapeutic outcomes. The combined predictive model demonstrated good discriminative ability (area under the curve = 0.78).</p><p><strong>Conclusion: </strong>This study demonstrates that CT-derived body composition parameters (IMAT and skeletal muscle mass), combined with inflammatory markers (CRP) and HB levels, can effectively predict VDZ response in UC patients. The predictive model we developed offers a practical tool for identifying high-risk non-responders early, enabling clinicians to optimize individualized treatment strategies and improve clinical outcomes.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 3","pages":"117599"},"PeriodicalIF":1.5,"publicationDate":"2026-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13047634/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147623799","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":"Proposing Incidental-Reporting and Data System: A classification system for incidental findings in radiology.","authors":"Nikolaos-Achilleas Arkoudis, Ornella Moschovaki-Zeiger, Christos Koutserimpas, Niki Lama, Georgios Velonakis, Dimitrios Filippiadis, Stavros Spiliopoulos, Nikolaos Kelekis","doi":"10.4329/wjr.v18.i3.119025","DOIUrl":"https://doi.org/10.4329/wjr.v18.i3.119025","url":null,"abstract":"<p><p>Incidental findings are increasingly common in radiology yet reporting and follow-up remain inconsistent. We introduce Incidental-Reporting and Data System (I-RADS) as a classification system across imaging modalities and anatomical regions. I-RADS aims to improve communication among physicians, standardize recommendations, and promote research. Along with preexisting tools and guidelines, adoption of I-RADS could harmonize the management of incidental findings, improve patient outcomes, and support multicenter studies.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 3","pages":"119025"},"PeriodicalIF":1.5,"publicationDate":"2026-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13047575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147623802","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":"Diagnostic performance of magnetic resonance imaging-based radiomics for detecting prostate cancer: A systematic review and meta-analysis.","authors":"Shi-Yu Zhong, Xiang-Rong Deng, Bang-Cai Han, Liu-Qing Yang, Su-Ting Ye, Xiang-Ke Niu","doi":"10.4329/wjr.v18.i3.116826","DOIUrl":"https://doi.org/10.4329/wjr.v18.i3.116826","url":null,"abstract":"<p><strong>Background: </strong>Prostate cancer (PCa) is the second most common malignancy and the fifth leading cause of cancer death among men worldwide. Magnetic resonance imaging (MRI)-based radiomics has emerged as a promising tool for diagnosing PCa, but its true potential remains a subject of ongoing debate.</p><p><strong>Aim: </strong>To evaluate the diagnostic performance of MRI-based radiomics for PCa detection and compare it with the Prostate Imaging Reporting and Data System (PI-RADS) score.</p><p><strong>Methods: </strong>A systematic search of EMBASE, Web of Science, and PubMed was conducted up to August 18, 2025. Pooled sensitivity, specificity, and area under the curve were calculated. Subgroup analyses were performed to evaluate heterogeneity. Additionally, the diagnostic accuracy of MRI-based radiomics was compared with that of the PI-RADS score. Methodological quality was evaluated <i>via</i> the Radiomics Quality Score.</p><p><strong>Results: </strong>This meta-analysis included 49 studies encompassing 10512 patients. MRI-based radiomics demonstrated a pooled sensitivity of 0.84 [95% confidence interval (CI): 0.80-0.87], specificity of 0.78 (95%CI: 0.72-0.84), and area under the curve of 0.88 (95%CI: 0.85-0.91). Deek's funnel plot asymmetry test indicated no publication bias. Subgroup analyses revealed that multiparametric MRI-based radiomics is more effective in diagnosing clinically significant PCa and that 3D-based radiomics outperforms 2D approaches. In a head-to-head comparison, the MRI-radiomics model yielded a numerically greater pooled diagnostic value (0.85; 95%CI: 0.82-0.88) than did the PI-RADS score (0.71; 95%CI: 0.63-0.77) (<i>P</i> = 0.07). The mean Radiomics Quality Score was 18.2 (50.6% of the maximum score). All studies reported performing cut-off analyses, 22 studies (44.9%) addressed biological correlates, and all claimed code or data accessibility.</p><p><strong>Conclusion: </strong>MRI-based radiomics is a reliable tool for detecting PCa, with 3D radiomic models showing greater effectiveness than 2D approaches in terms of sensitivity (0.85 <i>vs</i> 0.79). Radiomics also offers superior diagnostic accuracy for clinically significant PCa compared with the PI-RADS score, underscoring its potential in improving PCa diagnostics.</p>","PeriodicalId":23819,"journal":{"name":"World journal of radiology","volume":"18 3","pages":"116826"},"PeriodicalIF":1.5,"publicationDate":"2026-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13047588/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147623863","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}