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Fig. 6 | Insights into Imaging

Fig. 6

From: How clinical imaging can assess cancer biology

Fig. 6

A 52-year-old woman with metastatic breast cancer treated with chemotherapy (a). Whole body diffusion-weighted inverted gray-scale maximun intensity projection (MIP) of b = 900 s/mm2 images superimposing the ADC values associated with each voxel in color scale before (left) and after one cycle of therapy (right). Red colored voxels represent untreated disease or those with no-detectable response. Thus, yellow voxels represent regions “likely” to be responding. Green colored voxels have ADC values ≥ 1500 μm2/s representing voxels that are “highly likely” to be responding with tumor cell kill. Tumor evaluation showed a great change in ADC values (predominantly green voxels with ADC values ≥ 1500 μm2/s) indicating tumor necrosis. b A detailed ADC analysis of histogram metrics evidenced a reduced tumor volume as well as improvement in several histogram metrics (mean ADC, kurtosis, etc.) that have changed significantly during treatment due to extensive necrosis (compare to Fig. 7)

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