The aim of this study was to compare the diagnostic accuracy and interobserver agreement of dual-energy computed tomography pulmonary angiography (DECT-PA) and cone-beam computed tomography pulmonary angiography (CBCT-PA) for the evaluation of chronic thromboembolic pulmonary hypertension (CTEPH), using digital subtraction angiography pulmonary angiography (DSA-PA) as the reference standard.

Postoperative pneumoperitoneum is a common radiological finding after abdominal surgery. Pneumoperitoneum is often benign but may be a sign of an anastomotic leak or other complications. This systematic review synthesises data on the prevalence, volume, and clinical implications of postoperative pneumoperitoneum.

The aim of this study was to compare machine learning and radiomics models across institutions for predicting hepatocellular carcinoma (HCC) pathological grade and evaluate model robustness and generalisability.

We evaluated the performance of radiomics models based on multiparametric magnetic resonance imaging (MRI; dynamic contrast-enhanced, T2, and apparent diffusion coefficient (ADC) sequences) in differentiating malignant from benign masses. Various combinations of MRI sequences were compared.

Breast lesions constitute a significant proportion of women's health imaging. While mammography, ultrasound, and magnetic resonance imaging (MRI) are well established methods of breast assessment, the radiation penalty associated with computed tomography (CT) limits its role mainly to incidental detection of breast lesions, oncological staging, and follow-up. Spectral CT, including dual-energy CT and photon-counting CT enables advanced postprocessing techniques such as iodine maps, monoenergetic reconstructions, and material decomposition which may aid in lesion breast detection, characterisation, and oncological treatment response monitoring. This article illustrates the utility of spectral CT in a range of benign and malignant breast lesions, with correlation to conventional breast imaging. A series of benign and malignant breast lesions, alongside relevant iodine maps, monoenergetic reconstructions, and material decomposition will be demonstrated, with corresponding conventional breast imaging. The clinical applications in lesion detection, differentiation between benign and malignant lesions, staging, prognostication, and treatment response will be discussed. Whilst spectral CT will not replace conventional breast imaging methods, it has a role as a valuable adjunct to aid the radiologist in routine clinical practice. Emerging functional and quantitative capabilities have the potential for objective lesion assessment and further integration of CT into breast imaging practice.

United Kingdom medicolegal claims are rising. Many radiological allegations cite failure to report incidental findings, but these are often inconspicuous and asymptomatic and therefore difficult to detect. Nevertheless, claimants often support their allegations by citing the Royal College of Radiologists standards for the interpretation and reporting of imaging investigations. We examined our medicolegal practice to determine the proportion where allegations cited incidental pathology.

Soft tissue lipomatous lesions of the limbs and trunk wall are commonly referred to sarcoma services for specialist advice on diagnosis and management. The rates of such referrals place considerable strain on sarcoma multidisciplinary teams (MDTs) and are often unnecessary where lesions demonstrate no concerning features on imaging. The aim of this study was to retrospectively evaluate the referral rates and MDT outcomes for soft tissue lipomatous lesions of the limbs and trunk wall.

Positron emission tomography/computed tomography (PET/CT) guidance for tumour ablation procedures offers unique advantages, including intraprocedural margin assessment and visualisation of tumours not visible with other modalities. However, accurate tumour size depiction on PET is necessary. This paper validates a manual method for accurately depicting liver and lung tumour sizes on F18-fluorodeoxyglucose (FDG) PET compared to anatomic imaging with magnetic resonance imaging (MRI) and CT.

This study aimed to evaluate the shear wave velocity (SWV) of supraspinatus tendons (SST) using Virtual Touch Imaging Quantification (VTIQ) elastography, to analyse factors influencing SWV measurements in healthy individuals, and to characterise changes in SST stiffness during injury.

To assess if diffusion-weighted signal intensity ratio (DW-SIR) is a good parameter for differentiating malignant from benign and borderline ovarian lesions.

To explore feasibility of low-energy images in dual-energy computed tomography (DECT) combined with deep learning image reconstruction (DLIR) to improve image quality, reduce radiation and contrast doses in computed tomography portal venography (CTPV) for cirrhotic patients.

Radiation is the standard therapy for prostate cancer. However, it may cause damage to the surrounding organs, including the rectum. SpaceOAR hydrogel is a Food and Drug Administration (FDA)-approved spacer which increases the distance between the rectum and prostate, reducing rectal radiation exposure. A 7.5 mm distance is considered desirable for radiation toxicity purposes. This study aims to quantify the increased recto-prostatic distance after SpaceOAR hydrogel placement.

The aim of this study was to evaluate the clinical utility of sound touch elastography (STE) in assessing renal cortical elasticity across different stages of chronic kidney disease (CKD) and its association with histopathological grading of interstitial fibrosisand tubular atrophy (IFTA).

Glioma grading provides critical information for survival and prognosis. This study aims to determine the performance of machine learning (ML) algorithms using radiomic features to distinguish between grade 2-3 gliomas and glioblastomas (World Health Organization [WHO] grade 4) within adult-type diffuse gliomas, as defined by the recent central nervous system (CNS) tumour classification.

The aim of this cross-sectional study was to investigate the association of biventricular and biatrial strain parameters with demographics, clinical data, cardiovascular magnetic resonance (CMR) findings, and cardiac complications (atrial fibrillation and pulmonary hypertension) in a cohort of patients with β-thalassaemia intermedia (β-TI).

Dual-energy CT can be utilized on CT pulmonary angiography (CTPA) exams, increasing detection of peripheral PE. Artificial Intelligence (AI) software has emerging applications including the detection of PE; however, these AI models are not exclusively trained on dual-energy data. This study aims to evaluate the diagnostic performance of AI PE detection software on dual-energy virtual monochromatic (VMC) series compared to single-energy CTPA exams.

The purpose of this study was to evaluate the utility of an ultra-low-dose computed tomography (CT) protocol in guiding cryoablation and oncologic outcomes in the treatment of small renal cell carcinoma (RCC).

This meta-analysis evaluates the diagnostic accuracy of computed tomography (CT)-based artificial intelligence (AI) in detecting lymph node metastasis in rectal cancer patients.