Skip to main content
Top
Published in: European Radiology 8/2013

01-08-2013 | Urogenital

How to differentiate benign from malignant myometrial tumours using MR imaging

Authors: Isabelle Thomassin-Naggara, Sophie Dechoux, Claire Bonneau, Audrey Morel, Roman Rouzier, Marie-France Carette, Emile Daraï, Marc Bazot

Published in: European Radiology | Issue 8/2013

Login to get access

Abstract

Purpose

To retrospectively evaluate the ability of magnetic resonance imaging (MRI) to differentiate malignant from benign myometrial tumours.

Methods

Fifty-one women underwent MRI before surgery for evaluation of a solitary myometrial tumour. At histopathology, there were 25 uncertain or malignant mesenchymal tumours and 26 benign leiomyomas. Conventional morphological MRI criteria were recorded in addition to b 1,000 signal intensity and apparent diffusion coefficient (ADC). Odds ratios (OR) were calculated for each criterion. A multivariate analysis was performed to construct an interpretation model.

Results

The significant criteria for prediction of malignancy were high b 1,000 signal intensity (OR = +∞), intermediate T2-weighted signal intensity (OR = +∞), mean ADC (OR = 25.1), patient age (OR = 20.1), intra-tumoral haemorrhage (OR = 21.35), endometrial thickening (OR = 11), T2-weighted signal heterogeneity (OR = 10.2), menopausal status (OR = 9.7), heterogeneous enhancement (OR = 8) and non-myometrial origin on MRI (OR = 4.9). In the recursive partitioning model, using b 1,000 signal intensity, T2 signal intensity, mean ADC, and patient age, the model correctly classified benign and malignant tumours in 47 of the 51 cases (92.4 %).

Conclusion

We have developed an interpretation model usable in routine practice for myometrial tumours discovered at MRI including T2 signal, b 1,000 signal and ADC measurement.

Key Points

MRI is widely used to differentiate benign from malignant myometrial tumours.
By combining T2-weighted, b 1,000 and ADC features, MRI is 92.4 % accurate.
DWI may limit misdiagnoses of uterine sarcoma as benign leiomyoma.
Patient age is important when considering a solitary myometrial tumour.
Literature
1.
go back to reference Deshmukh SP, Gonsalves CF, Guglielmo FF et al (2012) Role of MR imaging of uterine leiomyomas before and after embolization. Radiographics 32:E251–E281PubMedCrossRef Deshmukh SP, Gonsalves CF, Guglielmo FF et al (2012) Role of MR imaging of uterine leiomyomas before and after embolization. Radiographics 32:E251–E281PubMedCrossRef
2.
go back to reference Gambadauro P (2012) Dealing with uterine fibroids in reproductive medicine. J Obstet Gynaecol 32:210–216PubMedCrossRef Gambadauro P (2012) Dealing with uterine fibroids in reproductive medicine. J Obstet Gynaecol 32:210–216PubMedCrossRef
3.
go back to reference Marret H, Fritel X, Ouldamer L et al (2012) Therapeutic management of uterine fibroid tumors: updated French guidelines. Eur J Obstet Gynecol Reprod Biol 165:156–164PubMedCrossRef Marret H, Fritel X, Ouldamer L et al (2012) Therapeutic management of uterine fibroid tumors: updated French guidelines. Eur J Obstet Gynecol Reprod Biol 165:156–164PubMedCrossRef
4.
go back to reference Gorny KR, Woodrum DA, Brown DL et al (2011) Magnetic resonance-guided focused ultrasound of uterine leiomyomas: review of a 12-month outcome of 130 clinical patients. J Vasc Interv Radiol 22:857–864PubMedCrossRef Gorny KR, Woodrum DA, Brown DL et al (2011) Magnetic resonance-guided focused ultrasound of uterine leiomyomas: review of a 12-month outcome of 130 clinical patients. J Vasc Interv Radiol 22:857–864PubMedCrossRef
5.
go back to reference Wu TI, Yen TC, Lai CH (2011) Clinical presentation and diagnosis of uterine sarcoma, including imaging. Best Pract Res Clin Obstet Gynaecol 25:681–689PubMedCrossRef Wu TI, Yen TC, Lai CH (2011) Clinical presentation and diagnosis of uterine sarcoma, including imaging. Best Pract Res Clin Obstet Gynaecol 25:681–689PubMedCrossRef
6.
go back to reference Van den Bosch T, Coosemans A, Morina M et al (2012) Screening for uterine tumours. Best Pract Res Clin Obstet Gynaecol 26:257–266PubMedCrossRef Van den Bosch T, Coosemans A, Morina M et al (2012) Screening for uterine tumours. Best Pract Res Clin Obstet Gynaecol 26:257–266PubMedCrossRef
7.
go back to reference Sahdev A, Sohaib SA, Jacobs I et al (2001) MR imaging of uterine sarcomas. AJR Am J Roentgenol 177:1307–1311PubMedCrossRef Sahdev A, Sohaib SA, Jacobs I et al (2001) MR imaging of uterine sarcomas. AJR Am J Roentgenol 177:1307–1311PubMedCrossRef
8.
go back to reference Ueda H, Togashi K, Konishi I et al (1999) Unusual appearances of uterine leiomyomas: MR imaging findings and their histopathologic backgrounds. Radiographics 19 Spec No: S131-S145 Ueda H, Togashi K, Konishi I et al (1999) Unusual appearances of uterine leiomyomas: MR imaging findings and their histopathologic backgrounds. Radiographics 19 Spec No: S131-S145
9.
go back to reference Tamai K, Koyama T, Saga T et al (2008) The utility of diffusion-weighted MR imaging for differentiating uterine sarcomas from benign leiomyomas. Eur Radiol 18:723–730PubMedCrossRef Tamai K, Koyama T, Saga T et al (2008) The utility of diffusion-weighted MR imaging for differentiating uterine sarcomas from benign leiomyomas. Eur Radiol 18:723–730PubMedCrossRef
10.
go back to reference Namimoto T, Yamashita Y, Awai K et al (2009) Combined use of T2-weighted and diffusion-weighted 3-T MR imaging for differentiating uterine sarcomas from benign leiomyomas. Eur Radiol 19:2756–2764PubMedCrossRef Namimoto T, Yamashita Y, Awai K et al (2009) Combined use of T2-weighted and diffusion-weighted 3-T MR imaging for differentiating uterine sarcomas from benign leiomyomas. Eur Radiol 19:2756–2764PubMedCrossRef
11.
go back to reference Thomassin-Naggara I, Cuenod CA, Darai E et al (2008) Dynamic contrast-enhanced MR imaging of ovarian neoplasms: current status and future perspectives. Magn Reson Imaging Clin N Am 16:661–72, ix Thomassin-Naggara I, Cuenod CA, Darai E et al (2008) Dynamic contrast-enhanced MR imaging of ovarian neoplasms: current status and future perspectives. Magn Reson Imaging Clin N Am 16:661–72, ix
12.
go back to reference James KE, White RF, Kraemer HC (2005) Repeated split sample validation to assess logistic regression and recursive partitioning: an application to the prediction of cognitive impairment. Stat Med 24:3019–3035PubMedCrossRef James KE, White RF, Kraemer HC (2005) Repeated split sample validation to assess logistic regression and recursive partitioning: an application to the prediction of cognitive impairment. Stat Med 24:3019–3035PubMedCrossRef
13.
go back to reference Thomassin-Naggara I, Darai E, Cuenod CA et al (2009) Contribution of diffusion-weighted MR imaging for predicting benignity of complex adnexal masses. Eur Radiol 19:1544–1552PubMedCrossRef Thomassin-Naggara I, Darai E, Cuenod CA et al (2009) Contribution of diffusion-weighted MR imaging for predicting benignity of complex adnexal masses. Eur Radiol 19:1544–1552PubMedCrossRef
14.
go back to reference Murase E, Siegelman ES, Outwater EK et al (1999) Uterine leiomyomas: histopathologic features, MR imaging findings, differential diagnosis, and treatment. Radiographics 19:1179–1197PubMed Murase E, Siegelman ES, Outwater EK et al (1999) Uterine leiomyomas: histopathologic features, MR imaging findings, differential diagnosis, and treatment. Radiographics 19:1179–1197PubMed
15.
go back to reference Pelage JP, Cazejust J, Pluot E et al (2005) Uterine fibroid vascularization and clinical relevance to uterine fibroid embolization. Radiographics 25:S99–S117PubMedCrossRef Pelage JP, Cazejust J, Pluot E et al (2005) Uterine fibroid vascularization and clinical relevance to uterine fibroid embolization. Radiographics 25:S99–S117PubMedCrossRef
Metadata
Title
How to differentiate benign from malignant myometrial tumours using MR imaging
Authors
Isabelle Thomassin-Naggara
Sophie Dechoux
Claire Bonneau
Audrey Morel
Roman Rouzier
Marie-France Carette
Emile Daraï
Marc Bazot
Publication date
01-08-2013
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 8/2013
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-013-2819-9

Other articles of this Issue 8/2013

European Radiology 8/2013 Go to the issue