Serial ultrasonographic evaluation of ovarian abnormalities with a morphology index

Gynecol Oncol. 2014 Oct;135(1):8-12. doi: 10.1016/j.ygyno.2014.07.091. Epub 2014 Jul 25.

Abstract

Objective: Transvaginal ultrasonography with tumor morphology index (MI) has been used to predict the risk of ovarian malignancy. Our objective was to analyze changes in serial MI scores for malignant and non-malignant ovarian tumors in a large and asymptomatic population.

Methods: Eligible subjects participated in the University of Kentucky Ovarian Cancer Screening Program and had abnormalities that included cysts, cysts with septations, complex cysts with solid areas, and solid masses. Analysis included: MI, change in MI (delta MI), delta MI per scan and per month, number and duration of scans.

Results: From 1987 to 2012, 38,983 women received 218,445 scans. Of the 7104 eligible subjects, 6758 tumors were observed without surgery and 472 were surgically removed. Eighty-six percent (5811) of observed tumors were resolved. There were 74 malignant and 272 non-malignant tumors. Eighty-five percent of malignancies had MI ≥5 at decision for surgery. The risk of malignancy based on MI was: MI=5 (3%), MI=6 (3.7%), MI=7 (12.6%), MI=8 (26.7%), MI=9 (27.8%), MI=10 (33.3%). The mean delta MI per month decreased for tumors that resolved (delta MI -1.0, p<0.001) or persisted without surgery (delta MI -0.7, p<0.001). For abnormalities surgically removed, the mean delta MI per month increased significantly more for malignancies than for benign tumors (delta MI +1.6 vs. +0.3, p<0.001).

Conclusions: The mean MI for malignant ovarian tumors increases over time, while non-malignant tumors have a decreasing or stable MI. Serial MI analysis can improve the prediction of ovarian malignancy by reducing false-positive results, thereby decreasing the number of operations performed for benign abnormalities.

Keywords: Morphology; Ovary; Screening; Tumor; Ultrasound.

MeSH terms

  • Asymptomatic Diseases
  • Female
  • Humans
  • Middle Aged
  • Ovarian Neoplasms / diagnostic imaging*
  • Ovarian Neoplasms / pathology*
  • Ultrasonography / methods