Cardenashyllested0542

m 2016 to 2019. Implementation of standardized COI disclosure policies with explicitly communicated definitions/categories can maximize the participants' understanding of the disclosure process, translate into improved COI reporting, and preserve an evidence-based environment that is free from commercial influence for physicians to teach and learn.

To investigate the role of quantitative Magnetic Resonance Imaging (MRI) in preoperative assessment of tumour aggressiveness in patients with endometrial cancer, correlating multiple parameters obtained from diffusion and dynamic contrast-enhanced (DCE) MR sequences with conventional histopathological prognostic factors and inflammatory tumour infiltrate.

Forty-four patients with biopsy-proven endometrial cancer underwent preoperative MR imaging at 3T scanner, including DCE imaging, diffusion-weighted imaging (DWI) and intravoxel incoherent motion imaging (IVIM). Images were analysed on dedicated post-processing workstations and quantitative parameters were extracted

,

,

and

from the DCE;

from DWI; diffusion

, pseudo diffusion

, perfusion fraction

from IVIM and tumour

from DWI. The following histopathological data were obtained after surgery histological type, grading (G), lympho-vascular invasion (LVI), lymph node status, FIGO stage and inflammatory infiltrate.

was significantlyhoice.

Quantitative imaging biomarkers obtained from DWI, DCE and IVIM may improve preoperative prognostic stratification in patients with endometrial cancer leading to a more informed therapeutic choice.

To assess the value of non-contrast MRI features for characterisation of uterine leiomyosarcoma (LMS) and differentiation from atypical benign leiomyomas.

This study included 57 atypical leiomyomas and 16 LMS which were referred pre-operatively for management review to the specialist gynaeoncology multidisciplinary team meeting. Non-contrast MRIs were retrospectively reviewed by five independent readers (three senior, two junior) and a 5-level Likert score (1-low/5-high) was assigned to each mass for likelihood of LMS. Evaluation of qualitative and quantitative MRI features was done using uni- and multivariable regression analysis. Inter-reader reliability for the assessment of MRI features was calculated by using Cohen's κ values.

In the univariate analysis, interruption of the endometrial interface and irregular tumour shape had the highest odds ratios (ORs) (64.00,

< 0.001 and 12.00,

= 0.002, respectively) for prediction of LMS. Likert score of the mass was significant in prediction (OR, 3.14;

< 0.001) with excellent reliability between readers (ICC 0.86; 95% CI, 0.76-0.92). The post-menopausal status, interruption of endometrial interface and thickened endometrial stripe were the most predictive independent variables in multivariable estimation of the risk of leiomyosarcoma with an accuracy of 0.88 (95%CI, 0.78-0.94).

At any level of expertise as a radiologist reader, the loss of the normal endometrial stripe (either thickened or not seen) in a post-menopausal patient with a myometrial mass was highly likely to be LMS.

This study demonstrates the potential utility of non-contrast MRI features in characterisation of LMS over atypical leiomyomas, and therefore influence on optimal management of these cases.

This study demonstrates the potential utility of non-contrast MRI features in characterisation of LMS over atypical leiomyomas, and therefore influence on optimal management of these cases.

This study aimed to assess the frequencies of the anterior spinal arteries identified by CT during arteriography (CTA) and arteriography alone.

This retrospective study included 137 vessels in 83 patients who performed both bronchial arteriography and CTA and categorized them into three groups based on the catheter tip locations intercostobronchial trunk (ICBT), bronchial artery (BA), and intercostal artery (ICA). The frequencies of anterior spinal artery identified by CTA and arteriography alone were compared for each group.

ICBT, BA, and ICA groups were evaluated by CTA in 46, 79, and 12 vessels, respectively. By CTA evaluation, anterior spinal artery was identified in seven vessels (15.2%) in ICBT group, 0 in BA group and two (16.7%) in ICA group. The frequencies of anterior spinal artery were significantly higher (

< 0.05) in ICBT and ICA groups than in BA group. click here By arteriography evaluation alone, a faint anterior spinal artery was identified in two vessels (4.3%) in ICBT group, 0 in BA group, and 1 (8.3%) in ICA group.

Anterior spinal artery branched only from the ICBT or ICA and not from the BA in both arteriography and CTA assessments. There was high false-negative rate (71%) of the anterior spinal artery by ICBT arteriography alone assessment compared to CTA assessment. This result explains one of the reasons that spinal ischemia occurs in arteriography-negative spinal artery cases.

False-negative rate of anterior spinal artery was 71% (5/7) by intercostobronchial trunk arteriography alone assessment.

False-negative rate of anterior spinal artery was 71% (5/7) by intercostobronchial trunk arteriography alone assessment.

Work hour restrictions have been imposed by the Accreditation Council for Graduate Medical Education since 2003 for medical trainees. Many acute care surgeons currently work longer shifts but their preferred shift length is not known.

The purpose of this study was to characterize the distribution of the current shift length among trauma and acute care surgeons and to identify the surgeons' preference for shift length. Data collection included a questionnaire with a national administration. Frequencies and percentages are reported for categorical variables and medians and means with SDs are reported for continuous variables. A chi-square test of independence was performed to examine the relation between call shift choice and trauma center level (level 1 and level II), age, and gender.

Data from 301 surgeons in 42 states included high-level trauma centers. Assuming the number of trauma surgeons in the United States is 4129, a sample of 301 gives the survey a 5% margin of error. The median age was 43 years (M = 46, SD = 9.