The diagnostic options provided by static 3D volume datasets according to US BI-RADS analogue assessment, concerning lesion shape, orientation, margin, echogenic rim sign, lesion echogenicity, acoustic transmission, associated calcifications, 3D criteria of the coronal plane, surrounding tissue composition (step 2) and lesion vascularity (step 6) are discussed.
The safety margins are translated to the control subspaces as speed and orientation margins.
To assist in this, most procedures in bone tumor surgery require intraoperative imaging with fluoroscopy and/or measurements with rulers for anatomical orientation and margin control.
To maintain orientation, tumor margins were marked on the corresponding H&E-stained slide.
In orthopedic oncology, computer-assisted surgery (CAS) can be considered an alternative to fluoroscopy and direct measurement for orientation, planning, and margin control.
Immediately following resection, the surgeon placed each specimen inside a re-sealable plastic storage bag for ultrasonic testing, and labeled the bag with a de-identified specimen number and, if applicable, the orientation of the margin.
Although ultrasonic measurements were correlated to the orientation of the margin, the diameter of the transducer elements (0.635 cm), in addition to the lack of an exact point-by-point matching of transducer position to specimen pathology in this study, most likely resulted in the sampling of tissues of mixed pathologies (e.g., normal breast plus DCIS) in a significant number of measurements.
Lesion margin and orientation were optimum features common to all of the different machine learning methods.
When the breast cancer is excised, markers or ink should be placed on the specimen for orientation to ensure which margin edge(s) is/are positive to guide focused reexcision of the correct tissue, if necessary.
In this way a statistical model is produced that only depends on a subset of the training data, namely those data points that are close enough to influence the size of the margin and the orientation of the hyper plane.
Entrepreneurial characteristics, historical data of firms, and other firms-specific factors such as size of operation, export intensity, international orientation, wage rates, and profit margins were included in the analysis.
