how to export suma information?

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AFNI version info (afni -ver):
Hi All,
I have two masks which I overlay on suma surface and I want to find their individual area as well as the area of their intersection. How can I extract these information from suma and my data?

code text  # or delete if not needed
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Several things you can calculate about overlap between two surface datasets on the same mesh.

# counting overlaps in terms of number of nodes
3dBrickStat -mask std.60.rh.thickness.niml.dset'<3.5..5>' -count -non-zero std.60.rh.thickness.niml.dset 
4179         
3dBrickStat -mask std.60.rh.thickness.niml.dset -count -non-zero std.60.rh.thickness.niml.dset 
34263        
3dOverlap std.60.rh.thickness.niml.dset'<3.5..5>' std.60.rh.thickness.niml.dset          
++ 3dOverlap: AFNI version=AFNI_23.3.12 (Dec  8 2023) [64-bit]
4179


3dABOverlap -no_automask std.60.rh.thickness.niml.dset'<3.5..5>' std.60.rh.thickness.niml.dset 
++ 3dABoverlap: AFNI version=AFNI_23.3.12 (Dec  8 2023) [64-bit]
#A=std.60.rh.thickness.niml.dset  B=std.60.rh.thickness.niml.dset
#A           #B           #(A uni B)   #(A int B)   #(A \ B)     #(B \ A)     %(A \ B)    %(B \ A)    Rx(B/A)    Ry(B/A)    Rz(B/A)
4179         34263        34263        4179         0            30084         0.0000     87.8032     0.9081     0.0000     0.0000

3dcalc -a std.60.rh.thickness.niml.dset'<3.5..5>' -b std.60.rh.thickness.niml.dset -expr 'b*step(a)' -prefix a_in_b.niml.dset  
++ 3dcalc: AFNI version=AFNI_23.3.12 (Dec  8 2023) [64-bit]
++ Authored by: A cast of thousands
++ Output dataset ./a_in_b.niml.dset

3dBrickStat -count -non-zero a_in_b.niml.dset                                                 
4179

For relative surface areas, use commands like these:

SurfMeasures -func n_area_A  -info_area -spec std.60.FT_rh.spec -surf_A pial -nodes_1D a_in_b.1D.dset -out_1D a_in_b_area.1D -overwrite 
----------------------------------------------------------
-- **total area 0 = 50576.1**

3dBrickStat -sum a_in_b_area.1D'[1]'         
50576.1       

3dmaskave -sum  a_in_b_area.1D'[1]' 
++ 3dmaskave: AFNI version=AFNI_23.3.12 (Dec  8 2023) [64-bit]
+++ 36002 voxels in the entire dataset (no mask)
50576.1 [36002 voxels]
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I am really thankful of your great help.