Objective: To explore the correlation between the apparent diffusion coefficient (ADC) of endometrioid adenocarcinoma based on histogram analysis and the expression of estrogen receptor (ER)

progesterone receptor (PR)

tumor suppressor gene P53 and proliferating antigen Ki67. Methods: A total of 68 patients who underwent magnetic resonance imaging before surgery and whose pathology was confirmed to be endometrioid adenocarcinoma were analyzed. Semi-quantitative immunohistochemical scoring was performed. Relevant software was used to delineate the region of interest (ROI) of the whole tumor on the ADC map at each level

excluding cystic degeneration

necrosis

and bleeding areas. Histogram analysis was performed to obtain ADC histogram parameters

including mean

mode

kurtosis

skewness

minimum

maximum

5th

25th

50th

75th

and 95th percentiles. Spearman correlation analysis was used to statistically analyze the correlation between ADC histogram parameters and immunohistochemical expression. Results: The mean

mode

5th

25th

50th

75th and 95th percentiles of the ADC histogram parameters were negatively correlated with Ki67 expression (correlation coefficient and P value were r=-0.394

P=0.001; r=-0.373

P=0.002; r=-0.294

P=0.015; r=-0.359

P=0.003; r=-0.409

P=0.001; r=-0.371

P=0.002; r=-0.396

P=0.001

respectively); the mode

5th

25th and 50th percentiles were negatively correlated with P53 expression (correlation coefficient and P value were r=-0.307

P=0.011; r=-0.242

P=0.047; r=-0.252

P=0.038; r=-0.254

P=0.036

respectively)

the skewness value was positively correlated with P53 expression (r=0.345

P=0.004). There was no significant correlation between the histogram parameters and the expression of ER and PR (P>0.05). Conclusion: ADC histogram parameters had a certain correlation with the expression of P53 and Ki67 in endometrioid adenocarcinoma

but had no obvious correlation with the expression of ER and PR in endometrioid adenocarcinoma. ADC values can indirectly reflect clinicopathological characteristics to a certain extent and provide more information for clinical personalized treatment.