Ultrasonographic evaluation of endometrial stripe thickness is insufficient to rule out uterine serous carcinoma

Cancer Causes Control. 2023 Dec;34(12):1133-1138. doi: 10.1007/s10552-023-01759-y. Epub 2023 Jul 28.

Abstract

Purpose: Uterine serous carcinoma (USC) is a rare endometrial cancer representing less than 10% of uterine cancers but contributing to up to 50% of the mortality. Delay in diagnosis with this high-grade histology can have significant clinical impact. USC is known to arise in a background of endometrial atrophy. We investigated endometrial stripe (EMS) thickness in USC to evaluate current guidelines for postmenopausal bleeding in the context of this histology.

Methods: Retrospective chart review was conducted using ICD-9 and ICD-10 codes over an 18-year period. We included 139 patients with USC and compared characteristics of patients with EMS ≤ 4 mm and EMS > 4 mm. Chi-square or Fisher's exact tests were used to compare proportions and two-tailed t-tests to compare means. A p-value of < 0.05 was considered statistically significant.

Results: Most patients were white, obese, and multiparous. Thirty-two (23%) had an EMS ≤ 4 mm; 107 (77%) had an EMS > 4 mm. There were no statistically significant differences in age at diagnosis or presenting symptoms between groups, and postmenopausal bleeding was the most common symptom in each group.

Conclusion: Nearly 25% of patients with USC initially evaluated with transvaginal ultrasound were found to have an EMS ≤ 4 mm. If transvaginal ultrasound is used to triage these patients, one in four women will potentially experience a delay in diagnosis that may impact their prognosis.

Keywords: Endometrial stripe thickness; Ultrasonography; Uterine serous carcinoma.

MeSH terms

  • Cystadenocarcinoma, Serous* / diagnostic imaging
  • Endometrial Neoplasms* / diagnostic imaging
  • Endometrium / pathology
  • Female
  • Humans
  • Postmenopause
  • Retrospective Studies
  • Uterine Hemorrhage / diagnostic imaging
  • Uterine Hemorrhage / etiology
  • Uterine Hemorrhage / pathology
  • Uterine Neoplasms* / diagnostic imaging