The use of ultrasound-based 'soft markers' for the prediction of pelvic pathology in women with chronic pelvic pain--can we reduce the need for laparoscopy?

BJOG. 2006 Mar;113(3):251-6. doi: 10.1111/j.1471-0528.2006.00849.x.

Abstract

Objective: To assess the accuracy of new transvaginal ultrasound-scan-based markers and to compare them to conventional ultrasound methods used in the detection of common pelvic pathology in women with chronic pelvic pain (CPP).

Design: A prospective observational study.

Setting: Teaching hospital.

Population: A total of 120 consecutive women with CPP undergoing transvaginal ultrasonography before either diagnostic or operative laparoscopy.

Methods: Anatomical abnormalities, e.g. endometrioma or hydrosalpinx (hard markers), were documented. The woman was then assessed for the presence or absence of 'soft markers' (reduced ovarian mobility and site-specific pelvic tenderness).

Main outcome measure: Presence or absence of pelvic pathology noted during laparoscopy.

Results: Seventy women had pelvic pathology, of whom 51 had endometriosis alone, 7 both endometriosis and pelvic adhesions, 6 pelvic adhesions, 1 hydrosalpinx with endometriosis and 5 hydrosalpinx and pelvic adhesions. The likelihood ratio for the hard markers was infinity (specificity was 100%), for the soft makers 1.9 (95% CI 1.2-3.1) and for a 'normal' ultrasound 0.18 (0.09-0.34). The pre-test probability of pelvic disease in our population of women with CPP was 58%, and this probability of disease was raised to 100% with the presence of hard markers and to 73% with the presence of soft markers. The pre-test probability of 58% fell to 20% when ultrasound finding was found to be normal.

Conclusion: This new approach improves the detection and exclusion of significant pathology in women with CPP and may lead to a reduction in the number of unnecessary laparoscopies carried out on women with CPP.

MeSH terms

  • Adult
  • Biomarkers
  • Chronic Disease
  • Female
  • Humans
  • Laparoscopy / statistics & numerical data*
  • Middle Aged
  • Pelvic Pain / diagnostic imaging*
  • Prospective Studies
  • Ultrasonography

Substances

  • Biomarkers