. 2020 Jun 1;4:9. doi: 10.1186/s41824-020-00078-8

Table 4.

Fingerprints construction for inter-patient similarity analysis

		Fingerprint_One	Fingerprint_All
Dataset HL, type		Non-R/R + R/R	Non-R/R + R/R
Patients,n		85	85
Subset	Lesions, site	Nodal or extra-nodal	Nodal + extra-nodal
Subset	Lesions,n	85	543
Features volume-related	Name	TLG Volume_mL Volume_vx Compacity GLNU_GLRLM RLNU_GLRLM GLNU_GLZLM ZLNU_GLZLM	TLG Volume_mL Volume_vx Compacity Correlation_GLCM GLNU_GLRLM RLNU_GLRLM Coarseness _NGLDM Busyness _NGLDM LZE_GLZLM LZHGE_GLZLM GLNU_GLZLM ZLNU_GLZLM ZP_GLZLM
Features volume-related	Number	8	14
Features non-volume-related	Name	SUVmean SUVQ2 SUVQ3 Entropy_log10 _HISTO Entropy_log2 _HISTO Energy_HISTO LGRE_GLRLM HGRE_GLRLM SRHGE_GLRLM LRLGE_GLRLM LRHGE_GLRLM HGZE _LZLM	SUVQ3 Entropy_log10 _HISTO Entropy_log2 _HISTO HGRE_GLRLM SRHGE_GLRLM LRHGE_GLRLM HGZE_GLZLM
Features non-volume-related	Number	12	7
PCA retained transformed features (mapping volume + non-volume data)		2 + 2	7 + 2

HL Hodgkin’s lymphoma, n number, non-R/R non-relapsing/refractory, PCA principal component analysis, R/R relapsing/refractory. For the full spelling of the feature and matrixes names, please refer to the supplementary material