Abdominal Radiology最新文献

{"title":"A case of uterine leiomyosarcoma in a survivor of hereditary retinoblastoma.","authors":"Mitsuhiro Kirita, Yuki Himoto, Yuka Kuriyama Matsumoto, Yasuhisa Kurata, Aki Kido, Yusuke Yamaoka, Koji Yamanoi, Masaki Mandai, Sachiko Minamiguchi, Yuji Nakamoto","doi":"10.1007/s00261-025-04943-7","DOIUrl":"https://doi.org/10.1007/s00261-025-04943-7","url":null,"abstract":"<p><p>Survivors of hereditary retinoblastoma have increased risk of subsequent primary malignancies due to RB1 mutation. We report uterine leiomyosarcoma (LMS) in a hereditary retinoblastoma survivor. She had follow-up for leiomyomas, with pelvic MRI showing typical leiomyomas two years prior. She presented with abdominal distention, and MRI revealed a massive tumor with LMS characteristics where a leiomyoma was previously observed. Chest CT showed a nodule suspicious for metastasis in the left lung. Total hysterectomy with bilateral salpingo-oophorectomy and partial lung resection was performed. Pathology confirmed LMS with pulmonary metastasis. Immunostaining showed complete RB1 loss in tumor cells. LMS was suspected to have arisen near a pre-existing leiomyoma or resulted from its malignant transformation. Continuous follow-up is necessary in hereditary retinoblastoma survivors.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958800","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":"A multi-center study: development and validation of a BpMRI focused model in transition zone PI-RADS 3 and 4 lesions to detect clinically significant prostate cancer.","authors":"Ying Yi, Zhiyin Chen, Hang Wang, Dongliang Cheng, Chun Luo, Hai Zhao","doi":"10.1007/s00261-025-04974-0","DOIUrl":"https://doi.org/10.1007/s00261-025-04974-0","url":null,"abstract":"<p><strong>Objective: </strong>To develop and validate a biparametric magnetic resonance imaging(BpMRI) focused model for detecting clinically significant prostate cancer(csPCa)( Gleason score ≥ 7) in TZ PI-RADS 3 and 4 lesions, compared to the Risk-based model (PI-RADS ≥ 3 and PSA density (PSAD) ≥ 0.15 ng/ml/cm³).</p><p><strong>Methods: </strong>A multi-center, retrospective cohort analysis was conducted on consecutive patients with PI-RADS 3 or 4 and eligible biopsy result. Multivariable logistic regression identified predictors of csPCa, followed by the areas under the curve(AUC) and decision curve analysis (DCA) comparisons between the Risk-based and BpMRI focused models, with external validation.</p><p><strong>Results: </strong>A total of 121 patients with 231 lesions in the development cohort(cohort 1) and 45 patients with 81 lesions the external validation cohort(cohort 2) were included between January 2020 and December 2024. The AUCs of the BpMRI-focused model were higher than those of the risk-based model in both the development cohort (0.71 [95% CI: 0.62-0.81] vs. 0.83 [95% CI: 0.74-0.92], p < 0.05) and the external validation cohort (0.75 [95% CI: 0.63-0.87] vs. 0.87 [95% CI: 0.79-0.95], p < 0.05). Furthermore, the BpMRI Focused Model significantly reduced the number of false positives for clinically significant prostate cancer compared to the Risk-Based Model [54 (23%) vs. 142 (61%), p < 0.002], while maintaining a cancer detection rate comparable to the PI-RADS ≥ 3 strategy (both p > 0.05). Additionally, the BpMRI Focused Model achieved a higher biopsy avoidance rate for csPCa [15 (6%)] compared to the Risk-Based Model [10 (4%)], though the difference was not statistically significant (p = 0.30).</p><p><strong>Conclusion: </strong>In clinical decision-making, lesions in the TZ with PI-RADS 3 or 4 can be incorporated into the BpMRI focused model to reduce unnecessary biopsies.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143956116","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":"¹⁸F-FDG PET/CT volumetric parameter predicts prognosis for neuroblastoma with MYCN gain.","authors":"Siqi Li, Jun Liu, Guanyun Wang, Ying Kan, Wei Wang, Jigang Yang","doi":"10.1007/s00261-025-04973-1","DOIUrl":"https://doi.org/10.1007/s00261-025-04973-1","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of the study was to evaluate the value of ¹⁸F-FDG PET/CT metabolic parameters in neuroblastoma (NB) with MYCN gain.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on 87 patients with NB (29 with MYCN gain and 58 with MYCN normal). The region of interest of primary tumors were manually delineated using 3D slicer™ software, and ¹⁸F-FDG PET/CT metabolic parameters, including SUV_max, SUV_peak, SUV_mean, MTV and TLG were extracted. Logistic regression analyses were used to identify the relationship between ¹⁸F-FDG PET/CT metabolic parameters and MYCN gain. Cox proportional hazards regression models were used to assess the associations between ¹⁸F-FDG PET/CT metabolic parameters and EFS and OS. Survival curves were generated using the Kaplan-Meier method, and differences in survival between groups were compared using the log-rank test.</p><p><strong>Results: </strong>A total of 87 NB patients [median age: 40 (20-56) months; 48 girls and 39 boys] were evaluated. Logistic regression analyses revealed that MTV (>133.3 cm³) was an independent predictor of MYCN gain. During the follow-up period of 22 (2-70) months, 21 patients died and 37 patients experienced disease recurrence or progression. Cox proportional hazards regression analyses showed that MTV, in combination with PHOX2B, was an independent prognostic factor for EFS and OS in NB patients with MYCN-gain. Patients with high MTV exhibited significantly shorter EFS and OS compared to those with low MTV.</p><p><strong>Conclusion: </strong>The volumetric parameter MTV derived from ¹⁸F-FDG PET/CT imaging can predict MYCN gain in NB patients and provide valuable prognostic information for patients with MYCN-gain NB.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960267","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":"Correction to: Pictorial review of multiparametric MRI in bladder urothelial carcinoma with variant histology: pearls and pitfalls.","authors":"Yuki Arita, Sungmin Woo, Lisa Ruby, Thomas C Kwee, Keisuke Shigeta, Ryo Ueda, Sunny Nalavenkata, Hiromi Edo, Kosuke Miyai, Jeeban Das, Pamela I Causa Andrieu, Hebert Alberto Vargas","doi":"10.1007/s00261-025-04923-x","DOIUrl":"https://doi.org/10.1007/s00261-025-04923-x","url":null,"abstract":"","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958349","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":"Diagnostic accuracy of iodine quantification and material density imaging with rapid Kilovoltage-switching DECT for small hyperattenuating renal lesions.","authors":"Shanigarn Thiravit, Adisa Moleesaide, Rathachai Kaewlai, Chayanit Limsakol, Arjin Maneegarn, Arissa Phothisirisakulwong, Phakphoom Thiravit","doi":"10.1007/s00261-025-04964-2","DOIUrl":"https://doi.org/10.1007/s00261-025-04964-2","url":null,"abstract":"<p><strong>Objectives: </strong>To assess accuracy of MDI and iodine quantification in distinguishing enhancing renal masses from hyperattenuating cysts, compared with conventional attenuation measurements, given that differentiation between these entities can influence follow-up imaging strategies and surgical decision-making, and to investigate the optimal threshold of iodine concentration using rapid kilovoltage-switching DECT (rsDECT).</p><p><strong>Materials and methods: </strong>Retrospective study enrolled 126 renal lesions 1-4 cm in size with 10-70 attenuation on pre-contrast CT in patients who underwent rsDECT during the portovenous phase. Two reading sessions (true unenhanced (TUE) + post-contrast (PC) + MDI images versus MDI only images) for the visual assessment of renal mass enhancement were done (with at least 1-month time gap). Measurement of attenuation and iodine concentration within each renal lesion was recorded. Diagnostic accuracies and a threshold of each quantitative parameters were evaluated. Final diagnosis of renal lesions was based on pathological or imaging criteria.</p><p><strong>Results: </strong>Accuracy of MDI images were 90.5% with TUE + PC + MDI and 88.9% with MDI only. AUC of VUE HU, TUE HU, PC HU, PC VUE HU, PC-TUE HU, absolute and normalized iodine concentration were 0.87, 0.82, 0.96, 0.95, 0.96, 0.97 and 0.95 (all p < 0.001). The optimal absolute iodine concentration threshold was 1.6 mg I/mL, with 91% sensitivity and 92% specificity. This threshold outperformed 0.5 mg I/mL showing 100% sensitivity, 29% specificity) and 2.0 mg I/mL showing 71% sensitivity, 97% specificity.</p><p><strong>Conclusion: </strong>In characterization of a small (< 4 cm) hyperattenuating renal lesion identified on abdominal CT, post processing MDI with iodine quantification has better or comparable accuracy to attenuation measurement and the specificity of iodine concentration using rsDECT improves with a threshold higher than 0.5 mg I/mL. This could enhance diagnostic workflows for renal lesion assessment using MDI and offer the potential to omit TUE scanning, thereby reducing patient radiation exposure.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143961309","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":"External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.","authors":"Anish Kirpalani, Théo Viel, Zixuan Hu, Hui Ming Lin, Sebastiaan Hermans, David Gomez, Robert Moreland, Shobhit Mathur, Aaditeya Jhaveri, Matthew Wu, Paraskevi A Vlachou, Monica Tafur, Ervin Sejdić, Errol Colak","doi":"10.1007/s00261-025-04910-2","DOIUrl":"https://doi.org/10.1007/s00261-025-04910-2","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to validate the performance of an award-winning machine learning (ML) model from the Radiological Society of North America (RSNA) 2023 Abdominal Trauma AI Challenge in detecting splenic injuries on CT scans using a large, geographically and temporally distinct external dataset.</p><p><strong>Method: </strong>A single-center retrospective study was conducted using an external dataset comprising 1216 CT scans (608 positive and 608 negative for splenic injuries). The ML model, trained on the RSNA Abdominal Traumatic Injury CT (RATIC) dataset, employs a multi-component pipeline including 2D MaxVit, 2.5D CoatNet with LSTM for study-level predictions. Model performance was evaluated using sensitivity, specificity, PPV, NPV, accuracy, F1 score, and AUC.</p><p><strong>Results: </strong>The ML model achieved an AUC of 0.931 (95% CI: 0.917, 0.945) for binary classification of splenic injuries, with an accuracy of 0.849 (95% CI: 0.827, 0.868), sensitivity of 0.747 (95% CI: 0.711, 0.780), and specificity of 0.951 (95% CI: 0.930, 0.965). For high-grade splenic injuries, the model achieved an AUC of 0.950 (95% CI: 0.932, 0.968), accuracy of 0.928 (95% CI: 0.912, 0.941), sensitivity of 0.719 (95% CI: 0.643, 0.784), and specificity of 0.958 (95% CI: 0.944, 0.968).</p><p><strong>Conclusion: </strong>The ML model shows strong, reliable performance and generalizability in detecting and grading splenic injuries on CT scans. This supports its potential clinical application, particularly for quick and accurate diagnosis in splenic trauma patients, and highlights the value of RSNA AI challenges in advancing clinical research and applications in medical imaging.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143959708","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":"Computer-aided diagnosis tool utilizing a deep learning model for preoperative T-staging of rectal cancer based on three-dimensional endorectal ultrasound.","authors":"Xiaoyin Liu, Ruifei Zhang, Junzhao Chen, Si Qin, Limei Chen, Hang Yi, Xiaowen Liu, Guanbin Li, Guangjian Liu","doi":"10.1007/s00261-025-04966-0","DOIUrl":"https://doi.org/10.1007/s00261-025-04966-0","url":null,"abstract":"<p><strong>Background: </strong>The prognosis and treatment outcomes for patients with rectal cancer are critically dependent on an accurate and comprehensive preoperative evaluation.Three-dimensional endorectal ultrasound (3D-ERUS) has demonstrated high accuracy in the T staging of rectal cancer. Thus, we aimed to develop a computer-aided diagnosis (CAD) tool using a deep learning model for the preoperative T-staging of rectal cancer with 3D-ERUS.</p><p><strong>Methods: </strong>We retrospectively analyzed the data of 216 rectal cancer patients who underwent 3D-ERUS. The patients were randomly assigned to a training cohort (n = 156) or a testing cohort (n = 60). Radiologists interpreted the 3D-ERUS images of the testing cohort with and without the CAD tool. The diagnostic performance of the CAD tool and its impact on the radiologists' interpretations were evaluated.</p><p><strong>Results: </strong>The CAD tool demonstrated high diagnostic efficacy for rectal cancer tumors of all T stages, with the best diagnostic performance achieved for T1-stage tumors (AUC, 0.85; 95% CI, 0.73-0.93). With assistance from the CAD tool, the AUC for T1 tumors improved from 0.76 (95% CI, 0.63-0.86) to 0.80 (95% CI, 0.68-0.94) (P = 0.020) for junior radiologist 2. For junior radiologist 1, the AUC improved from 0.61 (95% CI, 0.48-0.73) to 0.79 (95% CI, 0.66-0.88) (P = 0.013) for T2 tumors and from 0.73 (95% CI, 0.60-0.84) to 0.84 (95% CI, 0.72-0.92) (P = 0.038) for T3 tumors. The diagnostic consistency (κ value) also improved from 0.31 to 0.64 (P = 0.005) for the junior radiologists and from 0.52 to 0.66 (P = 0.005) for the senior radiologists.</p><p><strong>Conclusion: </strong>A CAD tool utilizing a deep learning model based on 3D-ERUS images showed strong performance in T staging rectal cancer. This tool could improve the performance of and consistency between radiologists in preoperatively assessing rectal cancer patients.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143951847","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 renal artery embolization for blunt traumatic renal hemorrhage: a multicenter study.","authors":"Yongqi Li, Shibing Hu, Wei Ding, Zhongzhi Jia, Tongqing Xue, Liqiang Jiang","doi":"10.1007/s00261-025-04967-z","DOIUrl":"https://doi.org/10.1007/s00261-025-04967-z","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the efficacy and safety of renal artery embolization (RAE) for the management of blunt traumatic renal hemorrhage.</p><p><strong>Methods: </strong>Patients with blunt traumatic renal hemorrhage treated with RAE across four hospitals from January 2018 to December 2024 were included in the study. Technical and clinical success rates, renal function preservation, side effects and complication were analyzed.</p><p><strong>Results: </strong>In the 71 study patients, the technical success rate of RAE was 100%, and the clinical success rate was 93.0% (66/71). The mean RAE procedure time was 1.2 ± 0.5 h and which was increased with higher American Association for the Surgery of Trauma (AAST) grades, and significantly longer was required for higher AAST grade. The mean infarcted renal area was 38% (range, 15-80%). The average serum creatinine level pre- and 1, 3, 5 and 7 days post-RAE were 95.6 ± 47.1 µmol/L, 99.0 ± 44.3 µmol/L, 88.4 ± 31.7 µmol/L, 85.0 ± 27.5 µmol/L and 78.5 ± 41.1 µmol/L, respectively. Different embolic materials (coils vs. gelatin sponge particles) showed no significant differences in technical and clinical success rates but highlighted cost advantages for gelatin sponge particles (4003.4 ± 1381.9 vs. 1919.4 ± 345.7 CNY; P < 0.001). The most common side effect was fever (42.3%), while no RAE related major complications.</p><p><strong>Conclusion: </strong>RAE is a highly effective and minimally invasive treatment for blunt traumatic renal hemorrhage, with significant success in hemostasis and renal function preservation. Gelatin sponge particles should be used as first line choice for RAE.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958776","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":"Reduced FOV T2-weighted imaging, 2.5D T2-weighted imaging, and high b-value diffusion-weighted imaging of the prostate at 5 T: a comparative study with 3 T.","authors":"Liting Shen, Yue Cheng, Jin Liu, Hui Xu, Dan Yu, Hualu Han, Kewei Wang, Zhenghan Yang, Liang Wang","doi":"10.1007/s00261-025-04954-4","DOIUrl":"https://doi.org/10.1007/s00261-025-04954-4","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the image quality of prostate T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) at 5 T.</p><p><strong>Methods: </strong>In this prospective study, asymptomatic adult male volunteers underwent conventional T2WI and multiple b-value DWI at both 3 T and 5 T, along with 2.5D T2WI at 5 T using the 2.5D imaging method. 2.5D imaging method improved in-plane resolution by reducing slice thickness and increasing the number of signal averaged to maintain the signal-to-noise ratio (SNR). Three scanning protocols were compared: conventional T2WI at 5 T vs. 3 T, 2.5D T2WI at 5 T vs. conventional T2WI at 5 T, and DWI at 5 T vs. 3 T. Quantitative analysis encompassed SNR, contrast-to-noise ratio (CNR), prostate dimensions, prostate volume (PV), edge rise distance of the dorsal prostate capsule, and ADC values in benign lesions. Image quality was qualitatively rated using a five-point Likert scale (1 = non-diagnostic, 5 = excellent). Statistical significance was assessed using paired t-test and Wilcoxon signed-rank test, with a significance threshold of P < 0.05.</p><p><strong>Results: </strong>Twenty participants were enrolled. Compared to 3 T, 5 T significantly increased SNR and CNR for T2WI (sagittal, coronal, and axial planes) and DWI (b-values of 1000, 1500, 2000 s/mm²) (P < 0.05). Image sharpness and clarity were significantly enhanced for T2WI and DWI at 5 T (P < 0.05). The 2.5D imaging method further improved T2WI resolution, overall image quality, and clarity of the prostate capsule. No significant differences were observed in artifact presence or PV between the T2WI groups (P > 0.05).</p><p><strong>Conclusion: </strong>5 T bi-parametric MRI (bp-MRI) of the prostate demonstrated superior image quality.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952552","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":"Balloon assisted gastrostomy tube placement.","authors":"Norbert Kuc, Ariel Feldman, Ilan Small, Jacob Cynamon, Arash Gohari","doi":"10.1007/s00261-025-04962-4","DOIUrl":"https://doi.org/10.1007/s00261-025-04962-4","url":null,"abstract":"<p><strong>Purpose: </strong>To compare the safety and efficacy of balloon-assisted gastrostomy (BAG) placement to the conventional serial dilation technique.</p><p><strong>Methods: </strong>This study is an IRB-approved retrospective review of all percutaneous gastrostomy tubes placed by an interventional radiology department at a single institution between 2012 and 2021. There were 476 patients identified (average age 63, 44% female): 385 in the serial dilation group and 91 in the balloon assisted gastrostomy (BAG) group. Patient demographic, procedure, and radiological data were reviewed in the medical record to determine procedure success, procedure/fluoroscopy time, and tube failures. Gastrostomy tube failure was defined as tube leak, clogging, or dislodgement. Adverse events were classified as per Society of Interventional Radiology guidelines. Statistical analysis was performed using Fisher's exact test, student's t-test, and Mann-Whitney U-test as appropriate.</p><p><strong>Results: </strong>Gastrostomy tubes were successfully placed in 97.7% (377/385) of patients undergoing the serial dilation technique and 100% (91/91) of patients undergoing the BAG placement technique. BAG tube placement was associated with a 2.5 min decrease (47%) in average fluoroscopy time (p = 0.0002, CI: 3.76 to 1.20). Total procedure time was reduced by an average of 17.2 min (22%) (p = 0.0006, CI: 26.9 to 7.4). BAG was also associated with an 11% reduction in all cause gastrostomy tube failure (p = 0.0399). There were no statistically significant differences in the adverse event rates or median days to tube failure. Material costs were $178.32 higher in the BAG group.</p><p><strong>Conclusion: </strong>BAG catheter placement can be performed safely and effectively, and is associated with reduced fluoroscopy time, procedure time, and overall failure rate compared to the serial dilation technique.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952545","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}