congopound8

RESULTS A total of 585 radiomics features were extracted from every phase for each patient. Six of these radiomics features were identified as most discriminant features for G1 and G2 tumors and used to construct the tumor grade prediction model. The prediction model resulted in the area under the curve values of 0.968 (95% CI 0.900-0.991) and 0.876 (95% CI 0.700-0.963) for the training cohort and validation cohort, respectively. Sensitivity and specificity were 96.4% and 83.9%, and 90.9% and 88.9% for the training and validation cohorts, respectively. The decision curves indicated that if the threshold probability is above 0.1, using the rad-score in the current study on G1/2 NF-pNETs is more beneficial than the treat-all-patients scheme or the treat-none scheme. CONCLUSION Radiomics developed with a combination of nonenhanced and portal venous phases can achieve favorable predictive accuracy for histological grade for G1/G2 NF-pNETs. RATIONALE AND OBJECTIVES The aim of this study is to investigate the most appropriate knee MRI report template that not only provides structure and consistency, but also allows enough narrative freedom for the logical organization of findings and improved communication with the orthopedic referral base. MATERIALS AND METHODS Three fictitious knee MRI reports were created using templates with different levels of structuring unstructured free text (FT), structured with headers (SH), and highly structured and itemized (SI). These were then distributed to clinicians in the orthopedics department at all levels of training along with a survey with numerical scoring questions on report readability, usefulness, and quality. Statistical analysis was used to evaluate the data. RESULTS Fifty-three surveys were completed with responses from residents, attendings, and physician assistants. The structured format with headers had statistically significant (p value less then 0.001) higher mean rank score in readability, usefulness, and quality parameters compared to the unstructured FT and highly SI report templates. Most clinicians (83%) found the structured format with headers to be the most coherent report. Conversely, 53% found the unstructured FT and 43% found the highly SI templates to be the most disjointed. CONCLUSION Based on responses to surveys of knee MRI report templates, our results show that our orthopedic clinicians prefer some level of structure in the reports but not the rigorous itemization of anatomic tissues. A “middle ground” reporting structure which includes headers for different anatomic compartments and allows for grouping of relevant pathology, is shown to be the preferred format. RATIONALE AND OBJECTIVES To evaluate the depictability of intracranial small arteries using high-resolution CTA with model-based iterative reconstruction (MBIR). INCB054329 manufacturer MATERIALS AND METHODS We retrospectively analyzed 21 patients who underwent brain 3D-CTA. Axial and volume-rendered (VR) images were reconstructed from the 3D-CTA raw data using adaptive statistical image reconstruction (ASIR) and MBIR. As a quantitative assessment, intra-arterial CT values of the ICA and contrast-to-noise ratio were measured to evaluate vessel enhancement. Additionally, CT values and standard deviations (SDs) of CT values and signal to noise ratio in white matter parenchyma were measured to evaluate background noise. As a qualitative assessment, the degree of vessel depictability in the anterior choroidal artery (AchoA) and the perforating branches of thalamoperforating arteries (TPA) on VR images using two different reconstruction algorithms was visually evaluated using a 3-point grading system. RESULTS The CT value of the ICA [605.27± 89.76 Hounsfield units (HU)] was significantly increased and the SD value (i.e., image noise) of the white matter parenchyma [6.79 ± 0.81(HU)] was decreased on MBIR compared with ASIR [546.76 ± 85.27 (HU)] and [8.04 ± 1.08 HU)] (p less then .05 for all). Contrast-to-noise ratio of ICA [84.48 ± 20.17] and signal to noise ratio of white matter [6.18 ± 0.75] with MBIR were significantly higher than ASIR [65.98 ± 13.08] and [5.28 ± 0.78] (p less then 0.05 for all). In addition, depictions of the AchoA and TPA on VR images were significantly improved using MBIR compared with ASIR (p less then 0.05). CONCLUSION MBIR allows depiction of small intracranial arteries such as AchoA and TPA with better visibility than ASIR without increasing the dose of radiation and the amount of contrast agent. RATIONALE AND OBJECTIVE Epilepsy is a common pediatric disease that often leads to cognitive and intellectual impairments. Here, we explore the reorganized functional networks in children and adolescents with focal epilepsy (CAFE) and analyze the relationship between network reorganization and intellectual deficits to reveal the underlying link between them. MATERIALS AND METHODS Fifty-four CAFE (6-16 years old; right-handed) and 42 well-matched healthy controls were recruited. Subjects underwent resting-state functional magnetic resonance imaging, and functional networks were analyzed by graph analysis. Intelligence testing (Wechsler Intelligence Scale for Children-Chinese revision) included measures for verbal IQ (VIQ), performance IQ, and full-scale IQ. RESULTS (1) In the CAFE compared with the healthy controls, (a) the local efficiency, clustering coefficient and standardized clustering coefficient were significantly decreased (p less then 0.05); (b) the degree centrality and nodal efficiency of the lefe a significant effect on intelligence. RATIONALE AND OBJECTIVES To assess if vessel suppression (VS) improves nodule detection rate, interreader agreement, and reduces reading time in oncologic chest computed tomography (CT). MATERIAL AND METHODS One-hundred consecutive oncologic patients (65 male; median age 60y) who underwent contrast-enhanced chest CT were retrospectively included. For all exams, additional VS series (ClearRead CT, Riverrain Technologies, Miamisburg) were reconstructed. Two groups of three radiologists each with matched experience were defined. Each group evaluated the SD-CT as well as VS-CT. Each reader marked the presence, size, and position of pulmonary nodules and documented reading time. In addition, for the VS-CT the presence of false positive nodules had to be stated. Cohen's Kappa (k) was used to calculate the interreader-agreement between groups. Reading time was compared using paired t test. RESULTS Nodule detection rate was significantly higher in VS-CT compared to the SD-CT (+21%; p less then 0.001). Interreader-agreement was higher in the VS-CT (k = 0.