Our results seem to confirm the useful role of PET-CT in the evaluation of post-surgical recurrence in patients who had undergone radical surgery for RCC.

SummaryVascular malformations pose a diagnostic and therapeutic challenge due to the broad differential diagnosis as well as common utilization of inadequate or inaccurate classification systems among healthcare providers. Therapeutic approaches to these lesions vary based on the type, size, and extent of the vascular anomaly, necessitating accurate diagnosis and classification. Magnetic resonance (MR) imaging (MRI) is an effective modality for classifying vascular anomalies due to its ability to delineate the extent and anatomic relationship of the malformation to adjacent structures. In addition to anatomical mapping, the complete evaluation of vascular anomalies includes hemodynamic characterization. Dynamic time-resolved contrast-enhanced MR angiography provides information regarding hemodynamics of vascular anomalies, differentiating high- and low-flow vascular malformations. Radiologists must identify the MRI features of vascular malformations for better diagnosis and classification.

FDG PET-CT can detect active tumor thrombosis and is helpful in differentiating it from benign thrombus.

Intravenous immunoglobulin (IVIg) is a biologic agent that is being increasingly used in the treatment of autoimmune and chronic inflammatory disorders. It is approved by the US FDA for the treatment of primary immunodeficiencies, immune thrombocytopenic purpura, Kawasaki disease, bone marrow transplantation in patients aged over 20 years, chronic B-cell lymphocytic leukemia, and pediatric AIDS. IVIg has been used off-label for several diseases, clinical symptoms and syndromes. Our aim was to determine if there is evidence to support the efficacy of IVIg therapy in autoimmune mucocutaneous blistering diseases (AMBDs). We searched the PubMed database for studies on pemphigus and pemphigoid using the following criteria: (i) English language; (ii) minimum of five patients; (iii) diagnosis based on histology and immunopathology; and (iv) statistical analysis of data for comparison of efficacy provided. We evaluated the data and present information on the number of participants in each study, pre-IVIg therapy, indications for the use of IVIg, IVIg protocol (dose and interval) used, concomitant therapies, clinical outcome, follow-up period, and serologic studies. The quality of the evidence presented in this review is at Level A according to the UK National Health Service criteria. Twenty-three studies that were published between May 1999 and April 2010 were identified. One randomized controlled trial was found and all other studies were case series. Data on 260 patients treated with IVIg were analyzed: 191 patients with pemphigus and 69 patients with pemphigoid. Overall, 245 patients showed improvement with IVIg therapy. IVIg demonstrated a corticosteroid-sparing effect. In the studies presented, the incidence of serious adverse effects was not significant. The best available evidence in the literature indicates that IVIg is efficacious and has a good safety profile in the treatment of AMBDs.

This study develops, validates, and deploys deep learning for automated total kidney volume (TKV) measurement (a marker of disease severity) on T2-weighted MRI studies of autosomal dominant polycystic kidney disease (ADPKD). The model was based on the U-Net architecture with an EfficientNet encoder, developed using 213 abdominal MRI studies in 129 patients with ADPKD. Patients were randomly divided into 70% training, 15% validation, and 15% test sets for model development. Model performance was assessed using Dice similarity coefficient (DSC) and Bland-Altman analysis. External validation in 20 patients from outside institutions demonstrated a DSC of 0.98 (IQR, 0.97-0.99) and a Bland-Altman difference of 2.6% (95% CI: 1.0%, 4.1%). Prospective validation in 53 patients demonstrated a DSC of 0.97 (IQR, 0.94-0.98) and a Bland-Altman difference of 3.6% (95% CI: 2.0%, 5.2%). Last, the efficiency of model-assisted annotation was evaluated on the first 50% of prospective cases (n = 28), with a 51% mean reduction in contouring time (P , .001), from 1724 seconds (95% CI: 1373, 2075) to 723 seconds (95% CI: 555, 892). In conclusion, our deployed artificial intelligence pipeline accurately performs automated segmentation for TKV estimation of polycystic kidneys and reduces expert contouring time.ClinicalTrials.gov identification no.: NCT00792155

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FDG PET-CT is a highly sensitive and specific modality for detecting recurrence in posttherapy patients with uterine sarcoma. However, it provides no significant advantage over CI for this purpose.

The incidence of thrombosis in patients with underlying primary malignancy is high. The thrombus may be the more common venous thromboembolism (VTE) or the rare tumour thrombus. VTE is a common entity in cancer patients and is managed with anticoagulant therapy, while tumour thrombosis requires aggressive multimodality management. Conventional imaging modalities, including ultrasonography, venography, contrast-enhanced computed tomography, and magnetic resonance imaging, are used routinely in such cases. With its increasing use in oncology, more and more such thrombi are encountered on 18F-fluorodeoxyglucose (FDG) positron emission tomography-computed tomography (PET-CT). Accurate characterisation of these lesions is of utmost importance owing to complementary functional information which it provides. FDG PET-CT has been found to be helpful in this context. This pictorial review discusses and illustrates the imaging features of thrombosis on FDG PET-CT.