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Japanese Journal of Radiology

, Volume 36, Issue 3, pp 209–214 | Cite as

CT features for diagnosing acute torsion of uterine subserosal leiomyoma

  • Yoshimitsu OhgiyaEmail author
  • Noritaka Seino
  • Shingo Miyamoto
  • Nobuyuki Takeyama
  • Kumi Hatano
  • Jiro Munechika
  • Kumiko Ishizuka
  • Masanori Hirose
  • Nobuyuki Ohike
  • Toshi Hashimoto
  • Akihiko Sekizawa
  • Takehiko Gokan
Original Article
  • 212 Downloads

Abstract

Purpose

To evaluate the usefulness of computed tomographic (CT) features for identifying acute torsion of uterine subserosal leiomyoma (USL).

Subjects and methods

We analyzed contrast-enhanced CT examinations of 7 USLs with torsion and 44 USLs without torsion. Two radiologists evaluated the CT features, which consisted of poor contrast enhancement inside the USL, thin rim enhancement around the USL, calcification within the USL, a beak sign between the uterus and USL, fan-shaped poor contrast enhancement in the uterus area adjacent to the USL (dark fan sign), and ascites. We analyzed the frequencies of these CT features in the USLs with versus without torsion using Fisher’s exact test.

Results

The respective frequencies of CT features in USLs with and without torsion were as follows: poor contrast enhancement, 86 and 5% (P = 0.001); thin rim enhancement, 71 and 9% (P = 0.001); calcification, 29 and 18% (P = 0.61); beak sign, 57 and 86% (P = 0.10); dark fan sign, 57 and 0% (P = 0.001); and ascites, 100 and 20% (P = 0.01).

Conclusions

The CT features of poor contrast enhancement, thin rim enhancement, and dark fan sign are valuable for identifying acute torsion of USL.

Keywords

Computed tomography Torsion Uterine leiomyoma Diagnostic imaging Dark fan sign 

Notes

Compliance with ethical standards

Conflict of interest

The authors state that there is no conflict of interest to disclose with respect to this study.

Funding

The authors state that this work has not received any funding.

Ethical approval

This retrospective study was approved by the institutional review board.

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Copyright information

© Japan Radiological Society 2017

Authors and Affiliations

  • Yoshimitsu Ohgiya
    • 1
    Email author
  • Noritaka Seino
    • 2
  • Shingo Miyamoto
    • 3
  • Nobuyuki Takeyama
    • 4
  • Kumi Hatano
    • 1
  • Jiro Munechika
    • 1
  • Kumiko Ishizuka
    • 1
  • Masanori Hirose
    • 1
  • Nobuyuki Ohike
    • 5
  • Toshi Hashimoto
    • 4
  • Akihiko Sekizawa
    • 3
  • Takehiko Gokan
    • 1
  1. 1.Department of RadiologyShowa University School of MedicineTokyoJapan
  2. 2.Department of RadiologyShowa University Koto Toyosu HospitalTokyoJapan
  3. 3.Department of Obstetrics and GynecologyShowa University School of MedicineTokyoJapan
  4. 4.Department of RadiologyShowa University Fujigaoka HospitalYokohama-shiJapan
  5. 5.Department of Diagnostic PathologyShowa University Fujigaoka HospitalYokohama-shiJapan

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