Preoperative rectosigmoid endoscopic ultrasonography predicts the need for bowel resection in endometriosis

Table 1 Patient characteristics

	Shaving (n = 36)	Resection (n = 37)	P value
Age			0.4241
n (%)	36 (100)	37 (100)
Mean (SD)	32.42 (6.57)	33.54 (5.32)
Body mass index			0.6561
n (%)	34 (94)	35 (95)
Mean (SD)	23.83 (3.96)	24.31 (4.83)
Pregnancy			0.9143
n (%)	36 (100)	35 (95)
0 (n)	22	24
1 (n)	5	5
2 (n)	6	4
≥ 3 (n)	3	2
Parity			0.5683
n (%)	36 (100)	35 (95)
0 (n)	25	26
1 (n)	4	6
2 (n)	6	3
≥ 3 (n)	1	0
Preoperative medical treatment			0.7323
n (%)	36 (100)	37 (100)
None	1	3
Progestin	16	16
GnRH analog	20	18
Estrogen	3	6
≥ 2 treatments	4	6
Symptoms of rectosigmoid endometriosis
Dyschezia			0.0202
n (%)	29 (81)	34 (92)
None to mild	16	9
Moderate to severe	13	25
Transit disorders			0.8932
n (%)	29 (81)	32 (86)
None to mild	14	16
Moderate to severe	15	16
Vomiting			1.003
n (%)	29 (81)	31 (84)
None to mild	27	28
Moderate to severe	2	3
Rectal Bleeding			0.2373
n (%)	30 (83)	29 (78)
None to mild	30	27
Moderate to Severe	0	2
Abdominal pain			0.9432
n (%)	32 (89)	33 (89)
None to mild	8	8
Moderate to severe	24	25

¹Student t-test.

²Chi-square test.

³Fisher exact test.

Table 2 Univariate analysis for characteristics of the lesions on rectosigmoid endoscopic ultrasonography

	Shaving (n = 36)	Resection (n = 37)	P value
Thickness			< 0.00011
n (%)	36(100)	37(100)
Mean (SD)	4.22 (1.90)	6.81 (2.61)
Width			< 0.00011
n (%)	36 (100)	36 (97)
Mean (SD)	13.70 (5.29)	19.10 (5.53)
Bump			0.2613
n (%)	36 (100)	37 (100)
Presence (%)	2 (5.6)	6 (16)
Submucosae infiltration			0.0072
n (%)	36 (100)	37 (100)
Presence (%)	2 (5.6)	11 (30)
Multiple lesions			0.3583
n (%)	36 (100)	37 (100)
Presence (%)	1 (2.8)	4 (11)

¹Student t-test.

²Chi-square test.

³Fisher exact test.

Table 3 Logistic regression for significant variables after multiple imputation for missing data

	OR	95%CI	P value
Thickness	1.49	1.04-2.12	0.028
Width	1.12	1.00-1.26	0.054
Submucosae infiltration	1.97	0.31-12.66	0.475

OR: Odds ratio; CI: Confidence interval.

Table 4 Receiver operating characteristic analysis for thickness

Cut-off (mm)	Sensibility	Specificity	PPV	NPV	Overall accuracy
0.9	1.00	0.03	0.51	1.00	0.52
5.2	0.76	0.81	0.80	0.76	0.78
10.0	0.05	1.00	1.00	0.51	0.52

PPV: Positive predictive value; NPV: Negative predictive value.