The potential for technology to aid quantitative assessment in cutaneous T cell lymphoma

Figures & data

Figure 1. Sample photographs of a patient with cutaneous lymphoma in Vectra Analysis Module (VAM) software. (A) Patient with cutaneous lymphoma plaques on the back, and (B) manual demarcation of areas of plaque. Demarcated body surface area is automatically calculated in VAM and divided by the total body surface area to get the body surface area percentage affected. This process is repeated for patches and nodules, and the mSWAT score is manually calculated.

Table 1. Pearson correlation and Lin’s CCC matrices of mSWAT scores calculated from 3 D-TBP, either visually by the dermatologists or manual segmentation by the medical students.

Dermatologist 1	Dermatologist 2	Medical student 1	Medical student 2
Pearson Correlation
1.00 (1.00, 1.00)	0.92 (0.70, 0.98)	0.83 (0.41, 0.96)	0.74 (0.21, 0.93)	Dermatologist 1
	1.00 (1.00, 1.00)	0.91 (0.64, 0.98)	0.82 (0.39, 0.96)	Dermatologist 2
		1.00 (1.00, 1.00)	0.98 (0.90, 0.99)	Medical student 1
			1.00 (1.00, 1.00)	Medical student 2
Lin’s CCC
1.00 (1.00, 1.00)	0.83 (0.54, 0.94)	0.44 (0.11, 0.68)	0.48 (0.07, 0.75)	Dermatologist 1
	1.00 (1.00, 1.00)	0.68 (0.35, 0.86)	0.71 (0.28, 0.90)	Dermatologist 2
		1.00 (1.00, 1.00)	0.94 (0.86, 0.98)	Medical student 1
			1.00 (1.00, 1.00)	Medical student 2

Parentheses contain the 95% confidence intervals.