Abdominal Radiology最新文献

{"title":"The feasibility of high-resolution organ-axial T2-weighted MRI when combined with federation of gynecology and obstetrics (FIGO) classification of uterine fibroid patients.","authors":"Xiaoyi Liu, Ke Wang, Xinyi Gou, Jianxiu Lian, Yang Zhang, Nan Hong, Jianliu Wang, Rong Zhou, Jin Cheng","doi":"10.1007/s00261-024-04776-w","DOIUrl":"https://doi.org/10.1007/s00261-024-04776-w","url":null,"abstract":"<p><strong>Purpose: </strong>Correctly classifying uterine fibroids is essential for treatment planning. The objective of this study was to assess the accuracy and reliability of the FIGO classification system in categorizing uterine fibroids via organ-axial T2WI and to further investigate the factors associated with uterine compression.</p><p><strong>Methods: </strong>A total of 130 patients with ultrasound-confirmed fibroids were prospectively enrolled between March 2023 and May 2024. These patients underwent MR examinations, including body-axial T2W (sagittal and axial) and organ-axial T2W (high resolution with oblique coronal and double oblique axial). For postprocessing, the interobserver agreements between two radiologists and the interagreements between two MR examinations and operational descriptions were evaluated via kappa statistics. The accuracy of axial and organ-axial T2W assessments in the FIGO classification of uterine fibroids was compared when surgical outcomes were used as the gold standard. The Kruskal‒Wallis test was used to compare the differences in cavity deformation across various FIGO classifications. Spearman's rank correlation test was used to analyze the correlation between the FIGO classification and the parameters of uterine cavity deformation.</p><p><strong>Results: </strong>In total, 170 fibroids from 130 patients were included. Compared with body-axial T2WI, organ-axial T2WI showed better interobserver agreement and greater interagreements with operational descriptions, with kappa values of 0.877 (P = 0.04) and 0.932 (P = 0.037), respectively. The accuracy of the organ-axial T2WI assessment in determining the FIGO classification of uterine fibroids was greater than that of the body-axial T2WI assessment, with an accuracy of 92.9% (P < 0.01). Thirty-two (38.1%) fibroids showed cavity deformation according to organ-axial T2WI, including fibroids with FIGO types 0-7 and 2-5. Among these factors, the size of the fibroids (S), base width (B), depth of compression (D), D/B, D/S, and compression angle (A) significantly differed among the different FIGO types of fibroids (P < 0.05). Compression angle exhibited a linear correlation with the FIGO type (P < 0.001).</p><p><strong>Conclusion: </strong>Compared with body-axial T2WI, organ-axial T2WI provides greater accuracy on the basis of the FIGO classification, which is more consistent with surgical outcomes. Given the excellent reliability and accuracy of the preoperative FIGO classification, organ-axial T2WI can contribute to treatment planning.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical feasibility of MRI-guided in-bore prostate biopsies at 0.55T.","authors":"Tejinder Kaur, Yun Jiang, Nicole Seiberlich, Hero Hussain, Shane Wells, John Wei, Elaine Caoili, Vikas Gulani","doi":"10.1007/s00261-024-04783-x","DOIUrl":"10.1007/s00261-024-04783-x","url":null,"abstract":"<p><strong>Objective: </strong>In-bore MRI-guided biopsy allows direct visualization of suspicious lesions, biopsy needles, and trajectories, allowing accurate sampling when MRI-ultrasound fusion biopsy is not feasible. However, its use has been limited. Wide-bore, lower-field, and lower-cost scanners could help address these issues, but their feasibility for prostate biopsy is unknown. The purpose of our study was to evaluate the feasibility of in-bore MRI-guided prostate biopsy using a large-bore (80 cm), 0.55T scanner.</p><p><strong>Materials and methods: </strong>Nineteen participants (68 ± 10 years) with suspected prostate cancer (PCa) were recruited for this Institutional Review Board (IRB) approved study (May 2023 -October 2024). Prebiopsy diagnostic scans and intra-procedural T2-weighted images were used for lesion localization. PSA levels, lesion sizes, cancer detection rates, positive core volume percentage, ISUP (International Society of Urological Pathology) grade groups (GG), positive volume cores, skin to target distances, and procedure durations were reported.</p><p><strong>Results: </strong>Seventeen participants underwent biopsies (four transrectal, thirteen percutaneous). Two participants were excluded. Twenty lesions (mean size 1.9 ± 1.2 cm) were biopsied which showed various GG cancers (GG1, GG2, GG3, GG4, and GG5), with positive cores ranging from 10 to 100%. 20% of the lesions were benign. Compared to previous biopsies, 22.2% (2/9) had new cancer detections, 22.2% (2/9) showed a GG upgrade, and 33.3% (3/9) had increased positive core volume, while 11.1% (1/9) showed no upgrade and 11.1% (1/9) had benign findings. Among biopsy-naïve participants, 75% (6/8) had cancer detected, and 25% (2/8) had benign findings. One new cancer was detected near a hip prosthesis due to reduced imaging artifacts. Average total procedure time was 77 ± 21 min for transrectal and 74 ± 22 min for percutaneous biopsies, with times to first core at 45 ± 15 and 53 ± 14 min, respectively.</p><p><strong>Conclusion: </strong>Identifying and accurately targeting suspicious prostate lesions is feasible using a 0.55T MRI scanner.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Liver stiffness: a novel imaging biomarker by ultrasound elastography for prediction of early allograft failure following liver transplantation.","authors":"Yuchen Yang, Yu Gong, Wen Shen, Yunling Fan, Haohao Yin, Wenping Wang, Huixiong Xu, Yuli Zhu, Hong Han","doi":"10.1007/s00261-025-04796-0","DOIUrl":"https://doi.org/10.1007/s00261-025-04796-0","url":null,"abstract":"<p><strong>Objectives: </strong>The objective of this study was to evaluate the role of Liver Stiffness Measurement (LSM) and serum transaminase levels for predicting early allograft failure (EAF) after liver transplantation (LT).</p><p><strong>Methods: </strong>A total of 189 patients who underwent LT were prospectively recruited in the study. Of these patients, 13 cases died or received re-transplantation within 90 days after surgery were classified as EAF group, while rest 176 patients were included in the non-EAF group. LSM values and serum transaminase levels within 1 week after operation were recorded and compared between two groups. The area under the curve (AUC) was utilized to assess the performance of LSM, serum transaminase and their combination in predicting EAF.</p><p><strong>Results: </strong>The earliest significant difference in LSM between EAF and non-EAF group was observed on postoperative day 3 (POD-3) (p = 0.046). Comparing to non-EAF group, patients in the EAF group had higher aspartate-aminotransferase (AST) and alanine aminotransferase (ALT) on postoperative day 2 (POD-2)(p = 0.009, 0.033), and also demonstrated higher AST on POD-3 (p = 0.021). Furthermore, the reduction rate of AST/ALT from day 1 to day 3 (AST/ALT Red) were slower (p = 0.001, 0.014) in EAF group. Using a LSM value > 12.1 kPa and an AST level > 339U/L on POD-3 predicted EAF with a sensitivity of 89%, a specificity of 86%, and an AUC of 0.926, surpassing the traditional early allograft dysfunction (EAD) model.</p><p><strong>Conclusions: </strong>The combination of LSM values and AST levels on the third day after LT can effectively predict EAF and facilitate timely interventions.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Noninvasive identification of HER2 status by integrating multiparametric MRI-based radiomics model with the vesical imaging-reporting and data system (VI-RADS) score in bladder urothelial carcinoma.","authors":"Cheng Luo, Shurong Li, Yichao Han, Jian Ling, Xuanling Wu, Lingwu Chen, Daohu Wang, Junxing Chen","doi":"10.1007/s00261-024-04767-x","DOIUrl":"https://doi.org/10.1007/s00261-024-04767-x","url":null,"abstract":"<p><strong>Purpose: </strong>HER2 expression is crucial for the application of HER2-targeted antibody-drug conjugates. This study aims to construct a predictive model by integrating multiparametric magnetic resonance imaging (mpMRI) based multimodal radiomics and the Vesical Imaging-Reporting and Data System (VI-RADS) score for noninvasive identification of HER2 status in bladder urothelial carcinoma (BUC).</p><p><strong>Methods: </strong>A total of 197 patients were retrospectively enrolled and randomly divided into a training cohort (n = 145) and a testing cohort (n = 52). The multimodal radiomics features were derived from mpMRI, which were also utilized for VI-RADS score evaluation. LASSO algorithm and six machine learning methods were applied for radiomics feature screening and model construction. The optimal radiomics model was selected to integrate with VI-RADS score to predict HER2 status, which was determined by immunohistochemistry. The performance of predictive model was evaluated by receiver operating characteristic curve with area under the curve (AUC).</p><p><strong>Results: </strong>Among the enrolled patients, 110 (55.8%) patients were demonstrated with HER2-positive and 87 (44.2%) patients were HER2-negative. Eight features were selected to establish radiomics signature. The optimal radiomics signature achieved the AUC values of 0.841 (95% CI 0.779-0.904) in the training cohort and 0.794 (95%CI 0.650-0.938) in the testing cohort, respectively. The KNN model was selected to evaluate the significance of radiomics signature and VI-RADS score, which were integrated as a predictive nomogram. The AUC values for the nomogram in the training and testing cohorts were 0.889 (95%CI 0.840-0.938) and 0.826 (95%CI 0.702-0.950), respectively.</p><p><strong>Conclusion: </strong>Our study indicated the predictive model based on the integration of mpMRI-based radiomics and VI-RADS score could accurately predict HER2 status in BUC. The model might aid clinicians in tailoring individualized therapeutic strategies.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accurate colorectal cancer detection using a random hinge exponential distribution coupled attention network on pathological images.","authors":"E Bharath, R Vimal Raja, K Kalaivanan, Vivek Deshpande","doi":"10.1007/s00261-024-04770-2","DOIUrl":"https://doi.org/10.1007/s00261-024-04770-2","url":null,"abstract":"<p><p>Colorectal cancer (CRC) is one of the most common and deadly forms of cancer worldwide, necessitating accurate and early detection to improve treatment outcomes. Traditional diagnostic methods often rely on manual examination of pathological images, which can be time-consuming and prone to human error. This study presents an advanced approach for colorectal cancer detection using a Random Hinge Exponential Distribution coupled Attention Network (RHED-CANet) on pathological images. The input dataset is sourced from the TCGA-CRC-DX cohort and the CRC dataset, both widely recognized for their comprehensive coverage of colorectal cancer cases. Pre-processing and feature extraction are performed using a Modified Square Root Sage-Husa Adaptive Kalman Filter combined with a Spike-Driven Transformer, enhancing noise reduction and feature clarity. Segmentation is achieved through an EfficientNetV2L Inception Transformer, ensuring precise delineation of cancerous regions. The final classification utilizes the RHED-CANet, a network tailored to handle the complexities of pathological data with high accuracy. This methodology achieved remarkable results, with an accuracy of 99.9% and a precision of 99.7%. These performance metrics underscore the method's ability to minimize false positives and enhance diagnostic accuracy. The proposed approach offers significant advantages, including a reduction in diagnostic time and a substantial improvement in detection accuracy, making it a promising tool for clinical applications. Despite its excellent accuracy, the suggested RHED-CANet technique has drawbacks, such as overfitting the TCGA-CRC-DX and CRC datasets by reducing generalizability on other datasets comprising other cancer types or image qualities. The actual application of the techniques in real-time clinical applications may be hampered by this computational load, especially in settings with limited resources, and the model's potential computational complexity due to multiple advanced processing steps. Additionally, the efficiency of training may be impacted by biased inputs, particularly for minor CRC subtypes.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy and safety of microwave ablation in solitary kidney patients with T1a small renal masses.","authors":"Carlos Justo-Jaume, Max Stempel, Jessica Qiu, Luis Gonzalez Miranda, Guofen Yan, Genevieve Lyons, Kenneth Sands, Noah Schenkman, Tracey Krupski, Stephen Culp, Jennifer Lobo","doi":"10.1007/s00261-024-04779-7","DOIUrl":"https://doi.org/10.1007/s00261-024-04779-7","url":null,"abstract":"<p><strong>Objectives: </strong>To assess the safety and efficacy of using microwave ablation (MWA) to treat solitary kidney (SK) patients with T1a renal cell carcinoma (RCC).</p><p><strong>Methods: </strong>Retrospective analysis of a prospectively maintained database identified patients with T1a RCC with either congenital or acquired SK. Estimated glomerular filtration rate (eGFR) was calculated from serum creatinine before MWA and after at 6 and 12 months post-procedure. The local recurrence-free survival (LRFS), metastatic-recurrence free survival (MRFS), cancer-specific survival, and overall survival were analyzed with the Kaplan-Meier method.</p><p><strong>Results: </strong>A total of 26 patients met inclusion criteria, including 3 congenital and 23 acquired SK patients. eGFR was lower at both 6 and 12 months post-procedure compared to pre-procedure, with the congenital SK group having a more pronounced reduction in eGFR at both post-procedure timepoints. Median follow-up time was 28.6 months (IQR 12.4-55.4). Four patients (15.4%) experienced local recurrence. For LRFS, mean survival time was 69.4 months. There were 5 patients (19.2%) that experienced metastatic recurrence, with median and mean survival time at 101.1 and 82.0 months, respectively. The mean time for RCC-specific survival was 94.7 months, while median and mean time for overall survival was 43.1 and 61.7 months, respectively.</p><p><strong>Conclusion: </strong>With a moderate reduction in renal function and a comparable rate of local recurrence compared to prior literature, this work demonstrates that MWA remains a viable alternative to more invasive techniques, particularly for high-risk SK patients with RCC. Our work highlights the need for further research on effectiveness of MWA in cancer control and preservation of renal function in larger cohorts of SK patients over extended follow-up times.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Standardizing the reporting of cholangiocarcinoma: the society of abdominal radiology disease focused panel on cholangiocarinoma lexicon.","authors":"Robert M Marks, Hina Arif, Maria Antonietta Bali, Ryan L Brunsing, Guilherme M Cunha, Hala Khasawneh, Maria El Homsi, Charanjeet Singh, Raj Paspulati, Andrea Kierans, Aliya Qayyum","doi":"10.1007/s00261-024-04769-9","DOIUrl":"https://doi.org/10.1007/s00261-024-04769-9","url":null,"abstract":"<p><p>In March 2023, the Society of Abdominal Radiology (SAR) Disease Focused Panel (DFP) on Cholangiocarcinoma (CCA) was formed. One of its initial tasks was for creation of a lexicon specific for CCA to complement the terms related to the Liver Imaging Reporting and Data System (LI-RADS) category M. A committee was formed and vetted 15 unique terms for CCA. The multidisciplinary members of the DFP passed each term by over 90% approval. The purpose of this paper is to describe the process for developing the lexicon, introduce the lexicon terms, and provide a pictorial atlas of the 15 vetted terms relating to the imaging findings of CCA.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differentiation between renal cell carcinoma metastases to the pancreas and pancreatic neuroendocrine tumors in patients with renal cell carcinoma on CT or MRI.","authors":"Marie-Joy Nduwimana, Ceylan Colak, Cem Bilgin, Blake A Kassmeyer, Candice M Bolan, Christine O Menias, Sudhakar K Venkatesh","doi":"10.1007/s00261-024-04787-7","DOIUrl":"https://doi.org/10.1007/s00261-024-04787-7","url":null,"abstract":"<p><strong>Purpose: </strong>To determine whether renal cell carcinoma metastases (RCC-Mets) to the pancreas can be differentiated from pancreatic neuroendocrine tumors (PNETs) in patients with RCC on CT or MRI at presentation.</p><p><strong>Methods: </strong>This retrospective study included patients with biopsy-proven RCC-Mets (n = 102) or PNETs (n = 32) at diagnosis or after nephrectomy for RCC. Inter-observer agreement (Cohen kappa) was assessed in 95 patients with independent reads by two radiologists, with discrepancies resolved by consensus for final analysis. The remaining 39 cases underwent consensus reads by two different radiologists for final analysis. The CT/MRI images were reviewed for number, size, regional distribution, parenchymal location (exophytic or intrapancreatic), contrast-enhancement, and enhancement pattern of pancreatic lesions in the available phases. Statistical tests were conducted using two sample t-tests and Pearson's chi-squared test for numeric and categorical variables respectively.</p><p><strong>Results: </strong>The study group comprised of 134 patients (90 males) with 265 lesions (229 RCC-Mets and 36 PNETs). Patients with PNETs were significantly younger (62 ± 12 years vs. 67 ± 9 years, p = 0.013). Inter-observer agreement for CT/MRI features was excellent across multiple imaging variables (k = 0.86-1.00). Most PNETs were single lesions (88 vs. 63%, p = 0.008), smaller in size (14 mm vs. 23 mm, p = 0.042), more common in the body and tail (81 vs. 57%, p = 0.01), showed homogeneous contrast enhancement (64-79% vs. 39-49%, p < 0.01-0.03), less T1-hypointense (80 vs. 99%, p = 0.002) and more DWI hyperintense (71 vs. 58%, p < 0.001) compared to RCC-Mets.</p><p><strong>Conclusion: </strong>PNETs are typically single, occur in distal pancreas, and enhance homogeneously compared to RCC-Mets which are often multiple, occur in the proximal pancreas, and enhance heterogeneously.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal virtual monoenergy for the detection of pancreatic adenocarcinoma during the pancreatic parenchymal phase on photon counting CT.","authors":"Andrew Ruff, Xiaochun Li, Judith D Goldberg, Mark Ehrhart, Luke Ginocchio, Paul Smereka, Thomas O'Donnell, Bari Dane","doi":"10.1007/s00261-024-04696-9","DOIUrl":"https://doi.org/10.1007/s00261-024-04696-9","url":null,"abstract":"<p><strong>Purpose: </strong>As the pancreas is a low contrast visibility organ, pancreatic ductal adenocarcinoma detection is challenging due to subtle attenuation differences between tumor and pancreatic parenchyma. Photon counting CT (PCCT) has superior iodine contrast-to-noise ratio than conventional CT and also affords the creation of low keV virtual monoenergetic images, both of which increase adenocarcinoma conspicuity. The purpose therefore was to identify the optimal virtual monoenergy for visualizing PDAC during the pancreatic parenchymal phase of enhancement at PCCT using both quantitative and qualitative analyses.</p><p><strong>Methods: </strong>Consecutive patients with pancreatic parenchymal phase PCCT source data were retrospectively identified by PACS search. For the quantitative analysis, region of interest (ROI) measurements were drawn in the pancreatic head, body, tail, pancreatic adenocarcinoma (if present), and psoas muscles on 40-120 keV virtual monoenergetic images in 10 keV increments. Based on the quantitative analysis results and vendor recommendations, four virtual monoenergies(40 keV, 55 keV, 70 keV, and 85 keV) were selected for additional qualitative analysis. Three radiologists blinded to four virtual monoenergies assessed overall image quality, image noise, pancreatic enhancement, and pancreatic mass conspicuity on 5-point Likert scales.</p><p><strong>Results: </strong>54 patients (28/54 male, mean[SD] age: 62 [13] years) were included. Quantitatively, 40 keV had the highest pancreatic parenchymal CNR and attenuation difference between the adenocarcinoma and parenchyma, but also the highest noise (HUsd). Qualitatively, 70 keV had the best overall image quality (Mean [SE]: 3.7[0.1]) and lower noise than 40 and 55 keV (3.6[0.08] vs. 1.8[0.07] and 2.7[0.05], respectively, p < .001). 40 keV had the greatest pancreatic enhancement (mean[SE] 4.6[0.11]). Adenocarcinoma conspicuity ratings were greatest at 40 keV and 55 keV, and not significantly different from each other (mean[SE] 4.4[0.13] and 4.3[0.14], respectively, Tukey adj-p =.20). 55 keV had greater overall image quality and lower noise than 40 keV (mean[SE] 3.4[0.08] vs. 2.5[0.08], Tukey adj-p < .001 and 2.7[0.05] vs. 1.8[0.07], Tukey adj-p < .001 respectively).</p><p><strong>Conclusion: </strong>55 keV pancreatic parenchymal phase virtual monoenergetic images afford optimal pancreatic assessment at PCCT for the visualization of pancreatic adenocarcinoma. Routinely viewing 55 keV virtual monoenergetic images at PCCT may improve PDAC detection.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quality and impact of youtube for patient education on prostatic artery embolization.","authors":"Connor C Jacob, Mina S Makary","doi":"10.1007/s00261-024-04790-y","DOIUrl":"https://doi.org/10.1007/s00261-024-04790-y","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the quality of YouTube videos on patient education concerning prostatic artery embolization (PAE).</p><p><strong>Methods: </strong>All PAE videos on YouTube were evaluated in December 2023. The quality of the videos was evaluated utilizing the DISCERN Scale Criterion. The popularity and engagement of each video was assessed using the Video Power Index (VPI) and Viewer Impact Score (VIS), respectively. Comparisons of these metrics were conducted and stratified by the video source type including academic institution, interventional radiologist, and patient testimony. Data describing discussion of risks, benefits, and indications were further collected.</p><p><strong>Results: </strong>Of the 43 videos, video characteristics included duration (mean = 4.6 min), views (mean = 16,885), and likes (mean = 139). The mean DISCERN, VPI, and VIS scores were 47.9, 15.0, and 36.9, respectively. There was no correlation between quality, and popularity (R² = 0.09) or engagement (R² = 0.01). Videos featuring board-certified physicians did not significantly improved DISCERN scores (p = 0.13), VPI (p = 0.15), or VIS (p = 0.39) scores when compared to those without. Content by interventional radiologists demonstrated higher popularity compared to videos featuring other specialties (p = 0.04), but there was no difference in quality (p = 0.18).</p><p><strong>Conclusion: </strong>Educational videos about PAE on YouTube are of average quality. Clinicians should be aware of the general state of online information concerning PAE and guide patients towards high quality resources.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142930348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}