Serial ultrasonographic evaluation of ovarian abnormalities with a morphology index

Jeffrey W. Elder, Edward J. Pavlik, Ashleigh Long, Rachel W. Miller, Christopher P. Desimone, John T. Hoff, Walker R. Ueland, Richard J. Kryscio, John R. Van Nagell, Frederick R. Ueland

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Objective. Transvaginal ultrasonographywith tumor morphology index (MI) has been used to predict the risk of ovarianmalignancy. Our objective was to analyze changes in serialMI 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. From1987 to 2012, 38,983women received 218,445 scans.Of the 7104 eligible subjects, 6758 tumors were observedwithout surgery and 472 were surgically removed. Eighty-six percent (5811) of observed tumors were resolved. Therewere 74malignant and 272 non-malignant tumors. Eighty-five percent ofmalignancies 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 b 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. SerialMI analysis can improve the prediction of ovarian malignancy by reducing false-positive results, thereby decreasing the number of operations performed for benign abnormalities.

Original languageEnglish
Pages (from-to)8-12
Number of pages5
JournalGynecologic Oncology
Volume135
Issue number1
DOIs
StatePublished - Oct 1 2014

Bibliographical note

Publisher Copyright:
© 2014 Elsevier Inc.

Keywords

  • Morphology
  • Ovary
  • Screening
  • Tumor
  • Ultrasound

ASJC Scopus subject areas

  • Oncology
  • Obstetrics and Gynecology

Fingerprint

Dive into the research topics of 'Serial ultrasonographic evaluation of ovarian abnormalities with a morphology index'. Together they form a unique fingerprint.

Cite this