Tailgut cysts are rare congenital lesions arising from remnants of normally regressing postanal primitive gut. They often present in middle-aged women with perirectal symptoms and a retrorectal multicystic mass. These cysts have occasionally shown malignant transformation. We report a case of a tailgut cyst occurring in a 25-year-old African-American female. The differential diagnosis of a retrorectal mass is briefly explored, and the etiology, diagnostic strategy, and surgical approach for tailgut cysts is examined. We also report an extensive literature review to examine clinical characteristics and surgical data for 43 cases of tailgut cysts spanning 16 years.
Eighty-six women underwent modified inferior pedicled reduction mammaplasty. All were grouped according to body mass index (BMI): 14 in the overweight group, 51 in the obese group, and 21 in the morbidly obese group. The mean ages were 34, 35, and 36, respectively, for the 3 groups and were not statistically different. The mean resection weight in the overweight group was 929 g, 1316 g for the obese group, and 1760 g for the morbidly obese group. Wound healing complications increased with BMI; the overweight, obese, and morbidly obese groups had 21%, 43%, and 71% of complications, respectively. The results were not statistically different. The rate of repeat operations increased proportionally with the BMI to 7%, 8%, and 19%, respectively. Postoperative BMI was measured in 30 patients. Fifty percent of this group had limited preoperative activity secondary to breast enlargement. The mean postoperative follow-up period was 43 months. Forty-seven percent of this group continued to have limited activity after breast reduction with a mean BMI of 37.8 kg/m2. The mean BMI of all women was 37.41 kg/m2 with a total BMI change of -0.4 kg/m2, suggesting that most women do not lose a significant amount of weight after breast reduction. There was no statistical difference in long-term BMI.
Successful placement of IVC filters using IVUS-guided imaging at the bedside in critically ill patients can be established through an evidence-based prospectively implemented algorithm, thereby limiting the need for transport in this high-risk population.
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