Objective:

To explore the correlation between mammographic density (MD) and the clinical and pathological metrics in breast cancer patients based on deep learning technology

in order to provide imaging evidence for individualized treatment and prognosis evaluation.

Methods:

The clinical

pathological and reoperative mammographic data of 205 cases of breast cancer confirmed by pathology from Apr. 2019 to Dec. 2019 were retrospectively analyzed in Shenzhen Peoples Hospital. According to the criteria for categories of breast composition in the 5th edition of Breast Imaging Reporting and Data System (BI-RADS)

the D was evaluated by radiologist assisted by deep learning system. Type a (almost entirely fat) and type b (scattered fibroglandular dense) were included in non-dense group

type c (heterogeneously dense) and type d (extremely dense) were included in dense group.

2

test was used to compare the differences in clinical (age

menopausal status

family history) and pathological (tumor size

histological grade

lymph node status

nerve or vascular invasion

pathological type and immunohistochemical parameters) metrics between the two groups. Spearman test was used to analyze the correlation between MD

age and progesterone eceptor (PR) state.

Results:

Among the 205 patients

56 were in the non-dense group and 149 in the dense group. The differences in age and menopausal status between the two groups were statistically significant (

P

＜0.001)

the MD of the younger age group and premenopausal women was higher than that it in the older age group and post-menopausal women

while the differences in family history were not statistically significant (

P

＞0.05).There were tatistical differences in progesterone receptor (PR) status between the two groups (

P

＜0.05)

PR positive expression rate of dense group (77.85%

116/149) was higher than the non-dense group (60.71%

34/56)

and the tumor size

histological grade

lymp

h node status

neural or vascular invasion status

pathological ype

estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) and Ki-67 showed no significant differences (

P

＞0.05); Spearman test howed MD was significantly negatively correlated with age (

r

=-0.481

P

＜0.001) and positively correlated with PR expression (

r

=0.196

P

＜0.05).

Conclusion:

The MD is correlated with age

menopausal status and PR status

and has a potential role in predicting the prognosis of breast cancer.