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Table 1 Demographic and clinical cohort characteristics consisting of 435 brain metastases distributed across 100 patients

From: Stratified assessment of an FDA-cleared deep learning algorithm for automated detection and contouring of metastatic brain tumors in stereotactic radiosurgery

Characteristic

N

Age (median, years)

69 (range 19–91)

Sex

Female

50

Male

50

Race

White

60

Asian

18

Black/African American

3

Native Hawaiian/Pacific Islander

2

Other/unknown/not reported

17

Ethnicity

Hispanic/Latino

88

Not Hispanic/Latino

11

Unknown/not reported

1

Year of radiosurgery treatment

2017

35

2018

28

2019

26

2020

11

Histology type

Non-small cell lung cancer

52

Melanoma

10

Breast

9

Gynecologic

8

Renal cell carcinoma

5

Gastrointestinal

4

Small cell lung cancer

4

Sarcoma

2

Other

6

Number of brain metastases per patient

Median/patient

2 (range/patient 1–52)

1 metastasis

30

2 metastases

26

3 metastases

7

4 metastases

8

 >  = 5 metastases

29

Tumor size in c.c

Mean

1.078 (range 0.010–26.475)

Q1

0.040

Q2

0.112

Q3

0.521

Input CT scan

Median slice thickness in mm

1.250 (range 1.000–1.250)

Median pixel resolution in mm

0.546 (range 0.443–0.977)

Input MR scan

Median slice thickness in mm

1.000 (range 0.500–1.200)

Median pixel resolution in mm

0.469 (range 0.469–0.938)