Skip to main content
. 2019 Feb 15;11(2):225. doi: 10.3390/cancers11020225

Table 2.

PGL cohorts stratified by the PASS algorithm.

Study No. First Author Year Published Number of PGLs * Number of Malignant PGLs * Definition of Malignant PGLs Mal PGLs PASS ≥ 4 Mal PGLs PASS < 4 Benign PGLs PASS ≥ 4 Benign PGLs PASS < 4 SENS SPEC PPV NPV
1 August 2004 6 6 MET 6 0 0 0 100% - 100% -
2 Szalat 2010 1 1 MET 1 0 0 0 100% - 100% -
3 Kulkarni 2016 4 2 MET 2 0 0 2 100% 100% 100% 100%
4 Kim 2016 29 16 REC/MET npd 0 npd 15 npd npd npd npd
5 Koh 2017 5 0 MET 0 0 3 2 npd npd npd npd
6 Stenman 2018 11 4 REC/MET 4 0 5 2 100% 29% 44% 100%
Summarized - 56 29 - 13 0 8 21 100% 72% 62% 100%

PGL—paraganglioma, MET—metastatic disease, REC—recurrence, ns—not specified, npd—not possible to determine, SENS -sensitivity, SPEC—specificity; ns -not specified, npd—not possible to determine, PPV—positive predictive value, NPV—negative predicitive value; *—Numbers correspond to cases histologically investigated, which is not necessarily identical to cases included in the study as a whole. Numbers in bold script at the bottom represent summarized values for all parameters, with corresponding SENS, SPEC, PPV and NPV values calculated for these sums.