Abdominal Radiology最新文献

Purpose: The extracellular matrix of adrenal metastases could be different from that of the adrenal adenomas, which may be characterized by the extracellular volume (ECV) fraction. This study aimed to assess the feasibility of ECV fraction derived from single-phase spectral CT for differentiating between adrenal metastases and adenomas.

Methods: This retrospective study included 163 patients with unilateral nodules, including lipid-poor adrenal adenoma (n = 52, group A), lipid-rich adrenal adenoma (n = 65, group B) and adrenal metastasis (n = 46, group C). All patients underwent contrast-enhanced spectral CT of the adrenal gland with a 10-minute delayed phase. The iodine density of each lesion was assessed and ECV fraction was examined. Various parameters were compared among the three groups. Diagnostic performance was evaluated by quantifying the area under the receiver operating characteristic curve (AUC).

Results: The ECV fraction in group C (33.81 ± 11.94%) was significantly higher than that in group A (20.86 ± 10.22%) and group B (11.44 ± 6.26%) (p < 0.001), while iodine density in group C (0.93 ± 0.41 mg/mL) was also higher than that in group A (0.61 ± 0.33 mg/mL) and group B (0.33 ± 0.19 mg/mL) (p < 0.001). ECV fraction showed significantly higher AUC (AUC = 0.790, 95%CI 0.691-0.869) for differentiating between group A and C than iodine density (AUC = 0.717, 95%CI 0.612-0.808; p = 0.002). Simultaneously, ECV fraction had significantly higher AUC (AUC = 0.945, 95%CI 0.858-0.986) for differentiating between group B and C than iodine density (AUC = 0.897, 95%CI 0.795-0.959, p = 0.03).

Conclusion: Based on single 10-minute delayed phase spectral CT, ECV fraction showed high diagnostic performance in differentiating between adrenal metastases and adrenal adenomas, both for lipid-poor or lipid-rich adenomas. The ECV fraction could help recognize metastases in unilateral or bilateral adrenal masses for better treatment planning, especially in patients with a history of extra-adrenal malignancy.

Purpose: To evaluate the feasibility, reproducibility, and diagnostic value in biliary obstructive diseases using Fly-Thru (FT) technique.

Methods: In this single-center prospective study, patients with biliary obstruction who underwent both abdominal ultrasound and FT examinations were recruited between January 2013 and January 2023. 3D FT images (3D-FT) were reconstructed with FT volumetric data. Image quality was subjectively assessed by two radiologists independently. 3D-FT was used to determine the degree of biliary obstruction and compared with ultrasound-guided percutaneous transhepatic cholangiography (PTC). Diagnostic confidence level, diagnostic accuracy and diagnostic duration of the two radiologists using 2D-ultrasound (2D-US) alone and 2D-US combined with 3D-FT were recorded respectively and compared.

Results: 100 consecutive patients were enrolled (mean age: 59.6 ± 13.2 years; 52 men). All 3D-FT images were successfully reconstructed and most (75% and 66%) 3D-FT images were considered clear and highly useful for diagnosis with a good agreement (Kappa = 0.653). Benign lesions and malignancies presented differently in both 2D-US and 3D-FT imaging. 3D-FT was not inferior to PTC in determining the degree of biliary obstruction (p = 0.101), with the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value, and positive predictive value as 90.5%, 26.7%, 1.23, 0.36, 77.6%, 50.0% respectively. Combined with 2D-US, 3D-FT significantly increased the diagnostic confidence level and diagnostic accuracy of biliary obstructive diseases (all p < 0.01), especially for radiologists with less experience.

Conclusion: Application of 3D-FT in diagnosis of biliary obstructive diseases was considered feasible and reproducible, with satisfactory diagnostic value and clinical importance.

Purpose: To compare the ability among 5.0T MRI, 3.0T MRI and MDCT in identifying insulinomas and determining the tumor-to-duct relationship.

Methods: A consecutive series of patients highly suspected of insulinomas were enrolled between October 2021 and February 2024, who underwent 5.0T MRI preoperatively, as well as 3.0T MRI or MDCT. The subjective and objective image quality, lesion-to-pancreas contrast, clarity of main pancreatic duct (MPD) and tumor-to-duct relationship at 5.0T, 3.0T MRI and MDCT were evaluated by three observers. The correlation between tumor-duct distance and clinically relevant postoperative pancreatic fistula (CR-POPF) risk was analyzed.

Results: Forty patients (14 men; mean age, 46.4 ± 16.5 years) with insulinomas were included in this study. 21 of them underwent both 5.0T and 3.0T MRI; and 38 of them underwent 5.0T MRI and MDCT. The intra- and inter-observer agreement of 5.0T MRI were good to excellent. 5.0T showed significantly higher subjective and objective image quality on T1WI and DWI compared to 3.0T (p < 0.05). Lesion-to-pancreas contrast was superior across all sequences at 5.0T compared to 3.0T(p < 0.05). A head-to-head comparison of patients who received both 5.0T and 3.0T MRI demonstrated that tumor detection was superior with 5.0T MRI (5.0T: 100%; 3.0 T: 92.0%, p < 0.05). Feasibility of tumor-to-duct relationship assessment was superior at 5.0T, compared to 3.0T and MDCT (93.2%, 64.0% and 52.3%, respectively, p < 0.05). Tumor-duct distance could predict CR-POPF after enucleation surgery (areas under the ROC curve 0.79, p = 0.01).

Conclusion: 5.0T MRI exhibits certain superiority in detecting insulinomas and assessing tumor-to-duct relationship compared to 3.0T MRI and MDCT.

Purpose: Perineural invasion (PNI) is an independent risk factor for poor prognosis in gastric cancer (GC) patients. This study aimed to develop and validate predictive models based on CT imaging and clinical features to predict PNI status in GC patients.

Methods: This retrospective study included 291 GC patients (229 in the training cohort and 62 in the validation cohort) who underwent gastrectomy between January 2020 and August 2022. The clinical data and preoperative abdominal contrast-enhanced computed tomography (CECT) images were collected. Radiomics features were extracted from the venous phase of CECT images. The intraclass correlation coefficient (ICC), Pearson correlation coefficient, and t-test were applied for radiomics feature selection. The random forest algorithm was used to construct a radiomics signature and calculate the radiomics feature score (Rad-score). A hybrid model was built by aggregating the Rad-score and clinical predictors. The area under the receiver operating characteristic curve (ROC) and decision curve analysis (DCA) were used to evaluate the prediction performance of the radiomics, clinical, and hybrid models.

Results: A total of 994 radiomics features were extracted from the venous phase images of each patient. Finally, 5 radiomics features were selected and used to construct a radiomics signature. The hybrid model demonstrated strong predictive ability for PNI, with AUCs of 0.833 (95% CI: 0.779-0.887) and 0.806 (95% CI: 0.628-0.983) in the training and validation cohorts, respectively. The DCA showed that the hybrid model had good clinical utility.

Conclusion: We established three models, and the hybrid model that combined the Rad-score and clinical predictors had a high potential for predicting PNI in GC patients.

Purpose: Biliary strictures are among the most common complications following liver transplantation (LT). If endoscopic retrograde cholangiography fails, percutaneous transhepatic biliary drainage (PTBD) may serve as an alternative approach. Description of clinical important short- and long-term outcomes as well as outcome prediction following PTBD after LT are scarce.

Methods: We analyzed outcomes of 56 liver-transplanted adults with biliary complications receiving a PTBD. We described the safety and longitudinal laboratory changes. We analyzed as endpoints, incidence of biliary complications, need for surgical biliary revision/re-LT and overall-survival at 12- and 60-months. We used simple comparison tests accordingly and performed competing risk analysis and multivariate competing risk regression as well as log-rank test and cox proportional hazard regression for further analysis.

Results: PTBD procedures had a high technical success rate (98%) and tolerable safety profile. Multiple laboratory indicators improved during follow-up (37 patients with complete biochemical follow-up). Incidence of subsequent biliary complications was highly dependent on the nature of present biliary strictures (Anastomotic stricture (AS): adjusted SHR: 0.26, 95% CI: 0.09-0.78, p = 0.016). Need for surgical biliary revision/re-LT remained below 15%. 12-month survival was significantly better, if drainage into the small intestine was achieved at first attempt compared to completely external drainage (internal: 92.9 vs. external: 67.9%, p = 0.018). Patients with AS had a numerically higher long-term-survival and higher C-reactive-protein (CRP) and lower body-mass-index (BMI) at baseline were significantly associated with inferior short- and long-term-survival.

Conclusion: PTBD for biliary complications following LT had a high technical success and a tolerable safety profile. Incidence of subsequent biliary complications was highly dependent on the nature of biliary strictures and increased mortality was found in patients with higher CRP, lower BMI and failure of initial PTBD internalization.

Magnetic resonance imaging (MRI) plays an important role in imaging of penile pathologies due to its excellent soft tissue resolution and multiplanar imaging capabilities. This imaging review describes the MRI protocols and anatomical considerations in penile pathologies. MRI not only serves as a complementary tool to ultrasound in evaluation of trauma, infections, inflammatory diseases, and malignancies, but is also used as the definitive imaging modality for evaluation of penile prosthesis and complex cases.

Purpose: Managing hepatocellular carcinoma (HCC) in patients with a transjugular intrahepatic portosystemic shunt (TIPS) is becoming increasingly common. This study aimed to evaluate the safety and efficacy of percutaneous thermal ablation for treating HCC in patients with TIPS.

Methods: This retrospective longitudinal study was conducted at Nantes University Hospital. The main inclusion criteria were patients undergoing percutaneous thermal ablation for HCC. Patients with a pre-existing TIPS were included in the 'TIPS group'. A 1:1 control group without TIPS, the 'n-TIPS group', was created for this case-control study. The primary endpoints were overall survival and progression-free survival over 12 months. Safety was assessed by comparing complications between the groups.

Results: Between 2008 and 2020, 371 patients underwent percutaneous thermal ablation for HCC. The 'TIPS group' included 34 patients (66 nodules), while 34 patients (84 nodules) were randomly assigned to the 'n-TIPS group.' Overall survival rates at 1 year were 97% and 94% respectively (p = 0.52). The progression-free survival rate was 68% and 57% respectively (p = 0.35). No deaths occurred within 30 days post-procedure. There were 3 immediate complications in the TIPS group and 4 in the n-TIPS group (p = 1), none of which were related to the TIPS, including thrombosis.

Conclusion: Percutaneous thermal ablation for HCC in patients with TIPS appears to be as safe and effective as in TIPS-naïve patients. These results suggest that the presence of a TIPS should not be considered a contraindication for percutaneous thermal ablation in treating HCC.

Background: In recent years, the integration of artificial intelligence (AI) techniques into medical imaging has shown great potential to transform the diagnostic process. This review aims to provide a comprehensive overview of current state-of-the-art applications for AI in abdominal and pelvic ultrasound imaging.

Methods: We searched the PubMed, FDA, and ClinicalTrials.gov databases for applications of AI in abdominal and pelvic ultrasound imaging.

Results: A total of 128 titles were identified from the database search and were eligible for screening. After screening, 57 manuscripts were included in the final review. The main anatomical applications included multi-organ detection (n = 16, 28%), gynecology (n = 15, 26%), hepatobiliary system (n = 13, 23%), and musculoskeletal (n = 8, 14%). The main methodological applications included deep learning (n = 37, 65%), machine learning (n = 13, 23%), natural language processing (n = 5, 9%), and robots (n = 2, 4%). The majority of the studies were single-center (n = 43, 75%) and retrospective (n = 56, 98%). We identified 17 FDA approved AI ultrasound devices, with only a few being specifically used for abdominal/pelvic imaging (infertility monitoring and follicle development).

Conclusion: The application of AI in abdominal/pelvic ultrasound shows promising early results for disease diagnosis, monitoring, and report refinement. However, the risk of bias remains high because very few of these applications have been prospectively validated (in multi-center studies) or have received FDA clearance.

Purpose: To assess the utility of signal intensity ratio (SIR) in distinguishing between mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma (PDAC), thereby reducing unnecessary pancreatectomies or delayed diagnosis brought by misdiagnosis.

Materials and methods: This retrospective study included 170 participants (34 with MFCP and 136 with PDAC) who underwent radical pancreatic surgery and were diagnosed via specimen pathology. The study group was carefully selected with a 1:4 ratio matching for sex, age, and operation time between two entities. T1 SIR, T2 SIR, arterial phase (AP) SIR, portal venous phase (VP) SIR, delay phase (DP) SIR, DWI_0-50 SIR, and DWI_500-1000 SIR, were calculated by dividing the signal intensity of lesions by that of the paraspinal muscle, serving as a reference organ. Intraclass Correlation Coefficient (ICC) was estimated to evaluate the intraobserver and interobserver reliability. Wilcoxon tests were employed for univariate analysis, and receiver operating characteristic (ROC) curves were generated to determine optimal cutoff points and AUC values for selected predictors. A tenfold cross-validation method was applied to validate the robustness of the results.

Results: The ICC demonstrated excellent correlation for both intraobserver and interobserver(ICCs > 0.8). T1 SIR, AP SIR, VP SIR, and DP SIR were significantly lower in the PDAC group compared to the MFCP group, and exhibited good independent predictive properties with the sensitivities of 61.8, 61.8, 70.6, and 73.5%, specificities of 66.2, 68.4, 59.6, and 55.9%, and AUCs of 0.620, 0.659, 0.670, and 0.668, respectively, hovering around 0.7. The tenfold cross-validation confirmed the reliability and robustness of our findings, with consistent AUC, sensitivity, specificity, and 95% confidence intervals over 1000 iterations.

Conclusion: T1 SIR, AP SIR, VP SIR, and DP SIR show promise as potential imaging biomarkers for distinguishing between MFCP and PDAC.

Background: Imaging biomarkers are emerging as non-invasive predictors of cancer prognosis and clinical outcome. We assessed tumor-specific ("radiomics") and body composition imaging features ("morphomics") extracted from baseline pre-treatment CT for prediction of recurrence in patients with stage III colorectal cancer (CRC).

Methods: Patients with newly diagnosed stage III CRC were enrolled in this prospective observational study. Patients with available preoperative scans were included (N = 101). The tumor, if visible, was manually segmented and first-order radiomics features were extracted with a commercially available software. The morphomics features (reflecting muscle, fat, and bone characteristics) were extracted in a standardized fashion using a proprietary software and the values were adjusted and normalized based on a reference standard. Time to recurrence was the final outcome. Correlation between demographics, clinical features, radiomics, and morphomics features and outcome were assessed using univariate and multivariate tests as well as Kaplan-Meier and log-rank tests.

Results: Morphomic analysis was performed in all 101 patients. 60 patients had discrete tumors suitable for radiomics analysis. These patients had lower ECOG score (p < 0.05), more muscle mass (p > 0.05), and lower fat density (p > 0.05) compared to the patients in whom radiomics analysis could not be performed. Pathological stage (HR: 2.69; p = 0.03), CEA level after surgery (HR: 1.11 for 1 ng/mL; p < 0.005), bone mineral density (HR: 1.01 for 1 Hounsfield Unit; p < 0.01), and tumor skewness (HR: 0.33 for 1 unit; p < 0.05) had association with recurrence based on both univariate and multivariate analyses. A model using Cox's regression analyses was able to divide the patients into low-, medium-, and high-risk for recurrence.

Conclusions: Both radiomics and morphomics features were independently associated with the risk of CRC recurrence and, when combined, each contributed valuable information to explain risk of recurrence.

Trial registration: Clinical trial.gov NCT02842203. Patient recruitment occurred between 22/07/2016 and 18/03/2020.