The results showed CEUS imaging is a fast, noninvasive, reliable, and valid alternative to multislice CTA for endoleak detection in endovascular aortic stent graft patients, and is superior to unenhanced US imaging. Contrast-enhanced ultrasound imaging should be performed using a recommended contrast medium dose of 2.4 mL.

With use of SH U 508A-enhanced agent detection imaging, liver lesion characterization and diagnostic performance are significantly improved.

Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME) represents the standard treatment for patients with locally advanced (≥ T3 or N+) rectal cancer (LARC). Approximately 15% of patients with LARC shows a complete response after CRT. The use of pre-treatment MRI as predictive biomarker could help to increase the chance of organ preservation by tailoring the neoadjuvant treatment. We present a novel machine learning model combining pre-treatment MRI-based clinical and radiomic features for the early prediction of treatment response in LARC patients. MRI scans (3.0 T, T2-weighted) of 72 patients with LARC were included. Two readers independently segmented each tumor. Radiomic features were extracted from both the “tumor core” (TC) and the “tumor border” (TB). Partial least square (PLS) regression was used as the multivariate, machine learning, algorithm of choice and leave-one-out nested cross-validation was used to optimize hyperparameters of the PLS. The MRI-Based “clinical-radiomic” machine learning model properly predicted the treatment response (AUC = 0.793, p = 5.6 × 10–5). Importantly, the prediction improved when combining MRI-based clinical features and radiomic features, the latter extracted from both TC and TB. Prospective validation studies in randomized clinical trials are warranted to better define the role of radiomics in the development of rectal cancer precision medicine.

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Idiopathic segmental infarction of the greater omentum is a rare disorder presenting with nonspecific clinical symptoms that may mimic a variety of acute abdominal conditions. We describe the diagnosis and treatment of two patients who had idiopathic infarction of the greater omentum and presented with localized abdominal pain, mimicking acute cholecystitis and acute diverticulitis, respectively. Patients underwent unenhanced multidetector-row computed tomography (CT) examination, which demonstrated the characteristic features of omental infarction, consisting of a heterogeneous density fatty mass, containing hyperattenuating streaks, located in the greater omentum, between the anterior abdominal wall and the colon; a moderate amount of free peritoneal fluid was also present. There were no other pathological abdominal findings. Giving persisting and worsening symptoms, both patients underwent laparoscopy with resection of the necrotic portion of the omentum. Pathology confirmed the preoperative diagnosis. Unenhanced CT allows us to obtain a reliable diagnosis of omental infarction in patients with acute abdominal pain and may help in selecting the appropriate medical or surgical therapy.