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OBJECTIVES Normative brain volume reports (NBVRs) are becoming more and more available for the workup of dementia patients in clinical routine. However, it is yet unknown how this information can be used in the radiological decision-making process. The present study investigates the diagnostic value of NBVRs for detection and differential diagnosis of distinct regional brain atrophy in several dementing neurodegenerative disorders. METHODS NBVRs were obtained for 81 consecutive patients with distinct dementing neurodegenerative diseases and 13 healthy controls (HC). Forty Alzheimer's disease (AD; 18 with dementia, 22 with mild cognitive impairment (MCI), 11 posterior cortical atrophy (PCA)), 20 frontotemporal dementia (FTD), and ten semantic dementia (SD) cases were analyzed, and reports were tested qualitatively for the representation of atrophy patterns. Gold standard diagnoses were based on the patients' clinical course, FDG-PET imaging, and/or cerebrospinal fluid (CSF) biomarkers following established diament between radiologists is significantly improved from moderate to excellent when using normative brain volume reports.OBJECTIVE To evaluate the imaging features of hepatic epithelioid hemangioendothelioma (HEH) on multiphasic CT, MR, and FDG-PET-CT. METHODS Bi-institutional review identified 67 adults (mean age, 47 years; 23 M/44 F) with pathologically proven HEH and pretreatment multiphasic CT (n = 67) and/or MR (n = 30) and/or FDG-PET-CT (n = 13). RESULTS HEHs were multifocal in 88% (59/67). Mean size of the dominant mass was 4.1 cm (range, 1.4-19 cm). The tumors were located in the peripheral, subcapsular regions of the liver in 96% (64/67). Capsular retraction was present in 81% (54/67 cases) and tumors were coalescent in 61% (41/67). HEH demonstrated peripheral ring enhancement on arterial phase imaging in 33% (21/64) and target appearance on the portal venous phase in 69% (46/67). Persistent peripheral enhancement on the delayed phase was seen in 49% (31/63). On MR, multilayered target appearance was seen on the T2-weighted sequences in 67% (20/30) and on the diffusion-weighted sequences in 61% (11/18). Target appearanrospective two-center study showed that cross-sectional imaging may help in the diagnosis.Clinical decision support systems for imaging referral provide generic justification for the clinical situation, but personal justification is needed particularly when dose is high or when the patient is sensitive to the effects of radiation. • Strategies to address cumulative high doses include stronger justification between radiologists and referrers; guidance for the frequency of surveillance procedures; and the drive to reduce CT doses through innovation in industry.OBJECTIVE A new computer tool is proposed to distinguish between focal nodular hyperplasia (FNH) and an inflammatory hepatocellular adenoma (I-HCA) using contrast-enhanced ultrasound (CEUS). The new method was compared with the usual qualitative analysis. METHODS The proposed tool embeds an "optical flow" algorithm, designed to mimic the human visual perception of object transport in image series, to quantitatively analyse apparent microbubble transport parameters visible on CEUS. Qualitative (visual) and quantitative (computer-assisted) CEUS data were compared in a cohort of adult patients with either FNH or I-HCA based on pathological and radiological results. For quantitative analysis, several computer-assisted classification models were tested and subjected to cross-validation. The accuracies, area under the receiver-operating characteristic curve (AUROC), sensitivity and specificity, positive predictive values (PPVs), negative predictive values (NPVs), false predictive rate (FPRs) and false negative ratetterns facilitate the diagnosis of FNH and I-HCA.OBJECTIVES The aim of this study was to evaluate the clinical outcome of patients receiving microwave ablation (MWA), either after downstaging of hepatocellular carcinoma (HCC) with transarterial chemoembolization (TACE), or without downstaging when meeting initially the Milan criteria. METHODS From January 2012 to January 2018, 66 patients with HCC beyond the Milan criteria who were downstaged by TACE previous to MWA comprised the study group. The control group comprised 190 patients who underwent MWA as first-line treatment as they met initially the Milan criteria. Cumulative overall survival (OS) and recurrence-free survival (RFS) rates were compared. The propensity score analysis was performed to reduce potential bias. RESULTS Baseline characteristics were balanced between the two groups after 11 propensity score matching. The OS rates were 100%, 79%, and 73% at 1, 3, and 5 years in the downstaging group and 95%, 83%, and 72%, respectively, in the Milan group. The corresponding RFS rate were 77%, 40%, and 31% in the downstaging group and 76%, 45%, and 34% in the Milan group. There were no significant differences in the OS and RFS rates between the two groups (p = 0.981 and p = 0.586). CONCLUSIONS The long-term therapeutic outcomes of MWA for downstaged HCC with TACE were similar to HCC that initially met the Milan criteria. KEY POINTS • Patients treated with MWA of HCC after downstaging with transarterial chemoembolization (TACE) were similar to those with HCC that initially met Milan criteria. • Microwave ablation (MWA) can be an effective treatment for hepatocellular carcinoma (HCC) that is downstaged to the Milan criteria.OBJECTIVE To investigate externally validated magnetic resonance (MR)-based and computed tomography (CT)-based machine learning (ML) models for grading clear cell renal cell carcinoma (ccRCC). MATERIALS AND METHODS Patients with pathologically proven ccRCC in 2009-2018 were retrospectively included for model development and internal validation; patients from another independent institution and The Cancer Imaging Archive dataset were included for external validation. Features were extracted from T1-weighted, T2-weighted, corticomedullary-phase (CMP), and nephrographic-phase (NP) MR as well as precontrast-phase (PCP), CMP, and NP CT. CatBoost was used for ML-model investigation. The reproducibility of texture features was assessed using intraclass correlation coefficient (ICC). Zebularine Accuracy (ACC) was used for ML-model performance evaluation. RESULTS Twenty external and 440 internal cases were included. Among 368 and 276 texture features from MR and CT, 322 and 250 features with good to excellent reproducibility (ICC ≥ 0.
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