Skip to main content
. Author manuscript; available in PMC: 2007 Aug 14.
Published in final edited form as: Comput Med Imaging Graph. 2007 Mar 21;31(4-5):248–257. doi: 10.1016/j.compmedimag.2007.02.005

Table 1.

Databases, evaluation methods, and performance levels for various nodule detection schemes in thin-section CT.

Scheme Database Evaluation Method Performance Level
Bae [59,60]
20 patients
164 solid nodules
Unknown 91.2% sensitivity with 6.9
FPs/scan (3–5mm nodules)
97.2% sensitivity with
4.0 FPs/scan (> 5mm)
Brown [61] 29 patients
77 nodules
Partial lungs with 20 mm
longitudinal coverage
Hold-out 70% sensitivity with
15 FPs/scan (< 3mm)
100% sensitivity with
15 FPs/scan (> 3mm)
Ge [62] 56 patients, 82 scans
116 solid nodules
Partial lungs
Leave-one-out

80% sensitivity with
0.34 FPs/section
Paik [63] 8 patients
Unknown number of solid
nodules
Leave-one-out 80% sensitivity with
1.3 FPs/scan
90% sensitivity with
5.6 FPs/scan
Zhao [64] 8 patients
266 simulated nodules
Unknown 84.2% sensitivity with
5 FPs/scan
Boroczky [65] 25 patients, 38 scans
52 nodules
Hold-out Sensitivity unchanged
Reduction of 56.4% FPs
Lawler [66] Unknown Unknown Unknown
Marten [67] 20 patients
135 metastastic nodules
Hold-out 76.3% sensitivity with
0.55 FPs/scan
McCulloch [68] 50 patients
35 solid and 8 non-solid
nodules
Unknown 69.8% sensitivity with
8.3 FPs/scan