Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Example of perfusion parameter calculation using the software.

(a). Early contrast enhanced T1 WI with fat suppression shows left breast cancer (arrowhead). A volume of interest (VOI) covering whole tumor area was semiautomatically drawn on the early contrast enhancement phase images in pink. (b-d). The VOI was copied to the corresponding Ktrans–, kep–, and ve–based perfusion map.

More »

Fig 1 Expand

Fig 2.

Scatterplot of ve vs. angiogenic factor.

Correlation between microvessel density (MVD) and ve50 is positive (r = 0.33).

More »

Fig 2 Expand

Table 1.

Correlation between perfusion parameters and angiogenesis factors.

More »

Table 1 Expand

Table 2.

Correlation between various perfusion parameters and conventional prognositc factors.

More »

Table 2 Expand

Table 3.

Correlation between various perfusion parameters and molecular markers and subtypes.

More »

Table 3 Expand

Fig 3.

A 44 year-old woman with large tumor size, high Ktrans and microvessel density (MVD).

(a). Maximal intensity projection image of early contrast phase enhancement phase shows a 4.9 cm sized invasive ductal carcinoma in right breast. Two neighboring masses are connected on pathology. (b). Ktrans map demonstrates red color on the tumor (Ktrans50 = 0.568) (c). Photomicrograph with CD34 shows vascular endothelium staining as dark brown (microvessel density 86) (Original magnification X200).

More »

Fig 3 Expand

Table 4.

Multiple linear regression analysis of perfusion parameters and angiogenesis, prognostic factors.

More »

Table 4 Expand

Table 5.

Correlative studies between perfusion parameters and angiogenesis factors.

More »

Table 5 Expand

Table 6.

Correlative studies between perfusion parameters on breast DCE MRI and prognostic factors.

More »

Table 6 Expand