Literature DB >> 27396800

Diagnostic Accuracy of Ultrasound, Contrast-enhanced CT, and Conventional MRI for Differentiating Leiomyoma From Leiomyosarcoma.

Kara Gaetke-Udager1, Karen McLean2, Andrew P Sciallis3, Timothy Alves4, Katherine E Maturen4, Benjamin M Mervak4, Andreea G Moore4, Ashish P Wasnik4, Jake Erba5, Matthew S Davenport6.   

Abstract

RATIONALE AND
OBJECTIVES: This study aimed to determine whether uterine leiomyoma can be distinguished from uterine leiomyosarcoma on ultrasound (US), computed tomography (CT), and/or magnetic resonance imaging (MRI) without diffusion-weighted imaging.
MATERIALS AND METHODS: Institutional review board approval was obtained and informed consent was waived for this Health Insurance Portability and Accountability Act-compliant retrospective case-control diagnostic accuracy study. All subjects with resected uterine leiomyosarcoma diagnosed over a 17-year period (1998-2014) at a single institution for whom pre-resection US (n = 10), CT (n = 11), or MRI (n = 7) was available were matched by tumor size and imaging modality with 28 subjects with resected uterine leiomyoma. Six blinded radiologists (three attendings, three residents) assigned 5-point Likert scores for the following features: (1) margins, (2) necrosis, (3) hemorrhage, (4) vascularity, (5) calcifications, (6) heterogeneity, and (7) likelihood of malignancy (primary end point). Mean suspicion scores were calculated and receiver operating characteristic curves were generated. The ability of individual morphologic features to predict malignancy was assessed with logistic regression.
RESULTS: Mean suspicion scores were 2.5 ± 1.2 (attendings) and 2.4 ± 1.3 (residents) for leiomyoma, and 2.7 ± 1.3 (attendings) and 2.7 ± 1.4 (residents) for leiomyosarcoma. The areas under the receiver operating characteristic curves (range: 0.330-0.685) were not significantly different from chance, either overall (P = .36-.88) or by any modality (P = .28-.96), for any reader. Reader experience had no effect on diagnostic accuracy. No morphologic parameter was significantly predictive of malignancy (P = .10-.97).
CONCLUSIONS: Uterine leiomyoma cannot be differentiated accurately from leiomyosarcoma on US, CT, or MRI without diffusion-weighted imaging.
Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Leiomyosarcoma; MRI; contrast-enhanced CT; leiomyoma; ultrasound

Mesh:

Substances:

Year:  2016        PMID: 27396800     DOI: 10.1016/j.acra.2016.06.004

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  7 in total

Review 1.  Uterine myxoid leiomyosarcoma - a rare malignant tumor: the role of complex morphopathological assay. Review and case presentation.

Authors:  Anca Maria Istrate-Ofiţeru; George Lucian Zorilă; Dan Ruican; Ana Maria Petrescu; Elena Iuliana Anamaria Berbecaru; Gabriela Camelia Roşu; Răzvan Grigoraş Căpitănescu; Rodica Daniela Nagy; Liliana Cercelaru; Antonie Edu; Dominic Gabriel Iliescu; Roxana Cristina Drăguşin
Journal:  Rom J Morphol Embryol       Date:  2021 Oct-Dec       Impact factor: 0.833

Review 2.  Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma using Magnetic Resonance Images: A Literature Review.

Authors:  Ayako Suzuki; Masato Aoki; Chiho Miyagawa; Kosuke Murakami; Hisamitsu Takaya; Yasushi Kotani; Hidekatsu Nakai; Noriomi Matsumura
Journal:  Healthcare (Basel)       Date:  2019-12-05

3.  The role of diffusion-weighted imaging in the evaluation of adnexal lesions.

Authors:  Annapurna Srirambhatla; Roopa Devi Hosamani; Eshwar Chandra Nandury
Journal:  Pol J Radiol       Date:  2022-08-20

4.  Unsuspected Diagnosis of Uterine Leiomyosarcoma after Laparoscopic Myomectomy in an Isolated Bag.

Authors:  Süleyman Salman; Fatma Ketenci Gencer; Bülent Babaoğlu; Melih Bestel; Serkan Kumbasar; Guray Tuna; Esra Güzel; Durkadın Elif Yıldız; Tuba Kotancı; Ali Selçuk Yeniocak; Özlem Sögüt
Journal:  Case Rep Obstet Gynecol       Date:  2018-06-14

5.  The value of clinical parameters combined with magnetic resonance imaging (MRI) features for preoperatively distinguishing different subtypes of uterine sarcomas: An observational study (STROBE compliant).

Authors:  Qiu Bi; Kunhua Wu; Fajin Lv; Zhibo Xiao; Yulin Xiong; Yiqing Shen
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

6.  Primary external iliac vein leiomyosarcoma in a young female diagnosed by contrast-enhanced ultrasound: A case report.

Authors:  XiaoChen Shi; JunXue Gao; WanLei Zhang
Journal:  Medicine (Baltimore)       Date:  2020-12-11       Impact factor: 1.817

Review 7.  New imaging modalities to distinguish rare uterine mesenchymal cancers from benign uterine lesions.

Authors:  Pamela Causa Andrieu; Sungmin Woo; Tae-Hyung Kim; Elizabeth Kertowidjojo; Anjelica Hodgson; Simon Sun
Journal:  Curr Opin Oncol       Date:  2021-09-01       Impact factor: 3.915

  7 in total

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