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. 2023 Jan 31;12(7):8897–8910. doi: 10.1002/cam4.5643

TABLE 4.

Univariate logistic regression analysis of “IFS under‐diagnoses or not” and “IFS over‐diagnoses or not” in detecting deep myometrial invasion.

IFS detecting deep MI Accurate‐diagnoses Under‐diagnoses Under‐diagnoses or not Over‐diagnoses Over‐diagnoses or not
OR 95% CI p Value OR 95% CI p Value
Menopause
Pre 875 (40.05) 26 (28.89) 1 0.036 7 (30.43) 1 0.353
Post 1,310 (59.95) 64 (71.11) 1.644 (1.034–2.614) 16 (69.57) 1.527 (0.626–3.726)
Atypical hyperplasia
No 1,905 (87.03) 77 (85.56) 1 0.685 20 (83.33) 1 0.594
Yes 284 (12.97) 13 (14.44) 1.132 (0.621–2.065) 4 (16.67) 1.342 (0.455–3.953)
Uterine diseases (myoma or adenomyosis)
No 1,971 (90.04) 85 (94.44) 1 0.175 21 (87.50) 1 0.680
Yes 218 (9.96) 5 (5.56) 0.532 (0.213–1.325) 3 (12.50) 1.292 (0.382–4.365)
Caesarean section
No 1,962 (89.79) 85 (94.44) 1 0.157 19 (82.61) 1 0.266
Yes 223 (10.21) 5 (5.56) 0.518 (0.208–1.289) 4 (17.39) 1.852 (0.625–5.493)
Abortion history
No 892 (40.82) 31 (34.44) 1 0.228 12 (52.17) 1 0.275
Yes 1,293 (59.18) 59 (65.56) 1.313 (0.843–2.045) 11 (47.83) 0.632 (0.278–1.440)
Histological grade
Low 1,931 (88.21) 76 (84.44) 1 0.282 21 (87.50) 1 0.914
High 258 (11.79) 14 (15.56) 1.379 (0.768–2.474) 3 (12.50) 1.069 (0.317–3.610)

Abbreviations: IFS, intraoperative frozen section; High grade, grade 3; Low grade, grade 1/2; MI, myometrial invasion; OR, dominance ratio.