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Lung cancer has an extremely high morbidity and mortality rate worldwide.
Methods to quantify the size of nodules and detect potential growth of nodules include two-dimensional diameter measurement and three-dimensional volume measurement.
Automated nodule segmentation tools have been promoted for nodule volume measurement, but have not yet been embedded in the PACS reading environment.
However, in actual work, the human eye is a powerful tool most commonly used by radiologists to assess whether nodules have grown.
With the approval of IRB, 109 standard chest CT image sequences were anonymously exported from PACS.
The standard baseline nodule diameter, relative volume difference, and nodule type are statistically significant factors that affect the accuracy of radiologists (p <0.
Figure 1 The accuracy of solid (left) and ground glass (right) nodules versus the standard baseline diameter (top) and relative volume difference (bottom).
Figure 2 Three-dimensional surface plots (top) and contour plots (bottom) of the standard baseline nodule diameter and relative volume difference function of solid nodules (left) and ground glass nodules (right) based on the generalized linear mixed effect model .
The factors that affect the size of nodule changes in the human eye evaluation include the diameter of the baseline nodule, the relative volume difference, and the types of solid and non-solid nodules.
Original source:
Original source:Justin Solomon, Lukas Ebner, Andreas Christe, et al.
org/10.
1007/s00330-020-07326-2">10.
1007/s00330-020-07326-2 Leave a message here