Clinical radiology
Audio Summaries

Real or not real? Can radiologists distinguish artificial intelligence generated radiological images from real ones?

Aug 8, 2026

The authors aimed to assess whether radiologists can distinguish between AI-generated and real radiological images, as well as identify factors influencing their classification accuracy. The study found that radiologists correctly identified about 77.8% of the images, with performance varying by image type and being enhanced by relevant specialist expertise, but not influenced by years of experience or familiarity with AI.

Diagnostic yield of 8G versus 11G transpedicular vertebral biopsy needles in suspected tuberculous spondylitis: a prospective randomized controlled study

Aug 8, 2026

The authors aimed to compare the diagnostic yield and complication rates of 8G versus 11G transpedicular vertebral biopsy needles in patients suspected of tuberculous spondylitis. The study found no significant differences in diagnostic outcomes or complications between the two needle sizes, with both groups yielding similar rates of diagnostic samples and complications. Overall, the results suggest that either needle size can be effectively used for biopsies in this context.

Scaling AI-enabled imaging-based screening: lessons from reporting for the NHS England lung cancer screening programme

Aug 7, 2026

The authors aim to explore the scalability and transferability of the NHS England Lung Cancer Screening Programme's infrastructure for imaging-based screening. They highlight three key components: a cloud-native imaging IT system, a national network of specialized radiologists, and the integration of AI for nodule detection, which collectively enhance the efficiency and effectiveness of lung cancer screening. The findings suggest that these principles could be adapted for other screening modalities, such as prostate MRI and CT colonography, indicating a broader applicability of their approach.

Automated analysis of abdominal body composition using MRI: algorithm development and validation via CT comparison

Aug 5, 2026

The authors aimed to develop and validate a deep learning algorithm for automated segmentation of abdominal body composition from MRI data, comparing its effectiveness to CT-based analysis. Their results showed strong correlation and agreement between MRI and CT measurements for abdominal visceral fat, subcutaneous fat, and skeletal muscle, although significant absolute differences were noted, particularly for visceral fat. The study concludes that while the algorithm provides accurate MRI segmentation, clinical application requires modality-specific reference values due to systematic measurement discrepancies.

Integrated virtual MR elastography and IVIM-DWI for preoperative prediction of lymph-vascular space invasion in endometrial cancer

Aug 1, 2026

The authors aimed to assess the diagnostic performance of combined virtual magnetic resonance elastography (vMRE) and intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for predicting lymph-vascular space invasion (LVSI) in endometrial cancer patients. The study found that the integrated model significantly improved prediction accuracy, identifying key parameters that serve as independent predictors of LVSI, thereby enhancing non-invasive risk stratification and aiding in surgical planning.

Diagnostic performance of a computed tomography (CT)-like 3D- multiecho fast field echo (mFFE) magnetic resonance imaging (MRI) sequence for acute wrist fractures: comparison with cone-beam computed tomography (CT)

Aug 1, 2026

The authors aimed to evaluate the diagnostic performance of a CT-like 3D-multiecho fast field echo (mFFE) MRI sequence for detecting and characterizing acute wrist fractures, comparing it to cone-beam computed tomography (CBCT). The study found that the 3D-mFFE sequence exhibited comparable sensitivity and specificity to CBCT, suggesting it could effectively replace CBCT in assessing wrist fractures without the associated radiation exposure.

[¹⁸F]FDG PET/CT versus pelvic MRI in preoperative diagnosis of lateral lymph node metastasis in rectal cancer: a meta-analysis

Jul 29, 2026

The study aims to compare the diagnostic accuracy of [¹⁸F]FDG PET/CT and pelvic MRI for preoperative detection of lateral lymph node metastasis (LLNM) in rectal cancer. The meta-analysis of 23 studies found that while both imaging modalities had similar sensitivity, [¹⁸FDG PET/CT exhibited significantly higher specificity, suggesting it may be more effective in reducing false positives and preventing unnecessary surgical interventions. The authors recommend further prospective studies to refine clinical guidelines for these imaging techniques.

Evaluating the utility of qualitative and quantitative multiparametric magnetic resonance imaging (MRI) parameters in distinguishing luminal and nonluminal breast cancer subtypes

Jul 29, 2026

The authors aimed to evaluate the effectiveness of multiparametric magnetic resonance imaging (MRI) in noninvasively distinguishing between luminal and nonluminal subtypes of invasive ductal carcinoma (IDC). Their study found that specific MRI parameters, such as perilesional edema and certain quantitative values, could serve as independent predictors for identifying nonluminal tumors, achieving a high area under the curve for diagnostic accuracy. These results suggest that multiparametric MRI could be a valuable adjunct to histopathology for personalized treatment and prognostication, pending further validation.

Imaging-based analysis of right inferior accessory hepatic vein variations in living donors: relevance to operative decision-making and graft outcomes

Jul 25, 2026

This study investigates the variations of the right inferior accessory hepatic vein (IRHV) in living liver donors and their implications for surgical planning and graft outcomes. By analyzing 200 donors using multidetector computed tomography (MDCT), the authors found that IRHV variations significantly influence hepatic venous dominance and the necessity for middle hepatic vein reconstruction, particularly in cases with larger IRHV sizes. The findings underscore the importance of accurately identifying these anatomical variations to optimize surgical strategies and enhance graft survival.

Comparative evaluation of noncontrast computed tomography (CT) histogram analysis, FibroScan, and serum markers for liver fibrosis assessment in chronic hepatitis B patients

Jul 25, 2026

The authors aimed to evaluate the effectiveness of noncontrast computed tomography (CT) histogram analysis in assessing liver fibrosis in patients with chronic hepatitis B, comparing it to biopsy-based staging, FibroScan, and serum markers. The study found that certain CT histogram parameters correlated significantly with histopathological fibrosis staging and noninvasive scoring systems, suggesting that CT histogram analysis could serve as a complementary tool in liver fibrosis assessment rather than a replacement for existing methods.