A Unified Representation of Control Logic in Human-Ultrasound Machine Interaction.

Advances in human-computer interaction (HCI) technologies have granted sonographers and radiologists a much improved user experience when operating different ultrasound (US) machines. Continued HCI improvements in US would benefit from a systematic study of the HCI control logic used in this domain. Such a study has not been presented previously and is the subject of this paper. We surveyed sonographers to determine the most frequently used controls in US machines. We standardized the representation of the US machine HCI control logic by using the unified modelling language (UML). We used UML diagrams to analyze the HCI control logic of 10 different cart-based US machines from several major manufacturers, and we discovered that the control logic for the most frequently used functions are identical. While this control logic does not follow an established standard, it has been commonly adopted. Using the UML for the visualization and formulation of control logic, we can target logically optimal interactions (whose operation steps cannot be further reduced), e.g., adjustment of B-mode gain, frequency and depth, and can derive methods to simplify logically sub-optimal interactions, e.g., the pointing and selecting operation, as well as image measurements.Our study provides insights into existing HCI approaches used in US machines and establishes a rigorous UML-based framework for future US machine design to improve interoperability, efficiency and ease-of-use.

Prognostic significance of autocrine motility factor receptor expression by colorectal cancer and lymph node metastases.

BACKGROUND: Autocrine motility factor receptor (AMFR) has been linked to metastasis and tumorigenicity. The aim of this study was to evaluate expression and prognostic significance of AMFR in colorectal carcinoma. METHODS: AMFR expression was evaluated in 127 colon cancer specimens, 131 rectal cancer specimens, and 47 colonic and 25 rectal corresponding lymph node metastases. Clinicopathological correlates of prognostic significance were established by univariate and multivariate analysis. Spearman's correlation determined the association of expression between cancers and their metastases. RESULTS: AMFR was over-expressed by 22% of colon cancers and 18% of rectal cancers. AMFR over-expression correlated significantly with improved disease-free survival (DFS) (P < .05) in colon cancer and decreased DFS in corresponding nodal metastases. In rectal cancer, AMFR over-expression significantly correlated with decreased overall survival, DFS, and disease-specific survival (P < .001, P = .031, P = .005, respectively) and decreased overall survival in corresponding metastases. CONCLUSION: AMFR may serve as a molecular prognosticator for colon cancer and rectal cancer.