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Table 4 Analytical models used for breast cancer risk with breast texture features in addition to mammographic breast density for 17 studies not using the contralateral breast and reporting AUC (sorted by year)

From: Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature

References

Non-mammogram covariates included (e.g., age, parity, etc.)

Established confounders for density adjusted for

Prediction horizon (< 5 year/5 year/10 year)

AUC (baseline model)

Overall AUC (with texture features added)

Malkov et al. [38]

Adjusted for age, body mass index, first-degree family history, percent density, study

Age and BMI

NR

0.617

0.621

Tan et al. [43]

None

Age

NR

NR

0.730

Winkel et al. [49]

Adjusted for age

Age

NR

BIRADS density = 0.63

0.65

Eriksson et al. [29]

Percentage mammographic density, age at mammography, BMI, family history of breast cancer, HRT use

Age, BMI, HRT use, and menopausal status

2 years (for main model) and 3 years (relative risks given)

0.64

0.71 with density and interaction between percentage density and masses also included

Winkel et al. [48]

Adjusted for birth year, age at false-positive screen, invitation round at false-positive screen

Age

NR

BIRADS density = 0.65, percentage mammographic density = 0.62

0.63

Yan et al. [50]

None

None

Next sequential mammography screening

NR

0.816

Yan et al. [51]

None

None

Next sequential sequencing

NR

0.830

Gastounioti et al. [31]

Density, BMI, age

Age and BMI

NR

0.62

0.67

Heidari et al. [32]

None

Age

12 to 18 months

NR

0.68

Schmidt et al. [40]

Adjusted for age, BMI

Age and BMI

NR

Percent mammographic density = 0.620

0.662

Tagliafico et al. [42]

None

Age

NR

NR

0.567

Evans et al. [30]

None

None

3 years

NR

0.54

Hsu et al. [34]

BIRADS, density, age, race, BMI, age at first live birth, noticeable changes in breast, number of risk factors, 5-year Gail risk ≥ 1.67%

Age and BMI

NR

cv-AUC = 0.83 with BIRADS and density only

cv-AUC = 0.84

Kontos et al. [35]

Density, BMI

Age and BMI

NR for AUC model. 5-year risk from Gail and Breast Cancer Surveillance Consortium models compared by phenotype

0.80

0.84

Abdolell et al. [25]

Age, percent mammographic density

Age

Tailored estimates of current breast cancer risk

0.584

0.597

Ma et al. [36]

Age, age at menarche, menopausal status, age at first birth, parity, family history of breast cancer, breast density

Age and menopausal status

NR

0.61 for training set and 0.56 for test set

0.77 for training set and 0.75 for test set

Heine et al. [33]

Adjusted for study, age, body mass index and also with dense volume included

Age and BMI

NR

Volumetric breast density = 0.61 for first study and 0.59 for generalization study

V = 0.61, P1 = 0.61, p1 = 0.60 for first study. V = 0.59, P1 = 0.57, p1 = 0.58 for generalization study

  1. AUC area under the curve, BIRADS Breast Imaging Reporting and Data System, BMI body mass index, cv-AUC cross-validated area under the curve, HRT hormone replacement therapy, NR not reported