Literature DB >> 33185738

The diagnostic value of magnetic resonance imaging in differentiating benign and malignant pediatric ovarian tumors.

Carlijn L Janssen1, Annemieke S Littooij1,2, Marta Fiocco1,3,4, Josephine C B Huige1,2, Ronald R de Krijger1,5, Caroline C C Hulsker1, Angelique J Goverde6, József Zsiros1, Annelies M C Mavinkurve-Groothuis7.   

Abstract

BACKGROUND: The diagnostic workup of ovarian tumors in children and adolescents is challenging because preserving fertility, in addition to oncological safety, is of particular importance in this population. Therefore, a thorough preoperative assessment of ovarian tumors is required.
OBJECTIVE: To investigate the diagnostic value of MR imaging in differentiating benign from malignant ovarian tumors in children and adolescents.
MATERIALS AND METHODS: We conducted a retrospective study of all children and adolescents age <18 years who underwent MR imaging of ovarian tumors during 2014-2019 at a pediatric specialty center. Two radiologists reviewed all MR imaging. We used pathology reports to define the histological diagnosis.
RESULTS: We included 30 girls who underwent MR imaging for an ovarian tumor. Signs indicative for malignancy were tumors with a diameter ≥8 cm, with areas of contrast enhancement, irregular margins, extracapsular tumor growth, and ascites. All benign and malignant ovarian tumors were correctly identified by the radiologists.
CONCLUSION: The diagnostic utility of MR imaging in classifying ovarian tumors in children and adolescents as benign or malignant is promising and might aid in defining the indication for ovarian-sparing versus non-ovarian-sparing surgery. We recommend evaluating these tumors with MR imaging prior to deciding on surgical treatment.

Entities:  

Keywords:  Benign; Children; Magnetic resonance imaging; Malignant; Ovarian preservation; Ovaries; Tumor

Year:  2020        PMID: 33185738      PMCID: PMC7897193          DOI: 10.1007/s00247-020-04871-2

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  28 in total

1.  Age-specific ovarian cancer incidence rate patterns in the United States.

Authors:  Jeffrey T Quirk; Nachimuthu Natarajan; Curtis J Mettlin
Journal:  Gynecol Oncol       Date:  2005-10       Impact factor: 5.482

2.  Complex adnexal masses: detection and characterization with MR imaging--multivariate analysis.

Authors:  H Hricak; M Chen; F V Coakley; K Kinkel; K K Yu; G Sica; P Bacchetti; C B Powell
Journal:  Radiology       Date:  2000-01       Impact factor: 11.105

3.  Ovarian neoplasms in children.

Authors:  M A Skinner; M G Schlatter; S A Heifetz; J L Grosfeld
Journal:  Arch Surg       Date:  1993-08

4.  Predictors of ovarian malignancy in children: overcoming clinical barriers of ovarian preservation.

Authors:  Jonathan C Papic; S Maria E Finnell; James E Slaven; Deborah F Billmire; Frederick J Rescorla; Charles M Leys
Journal:  J Pediatr Surg       Date:  2013-11-22       Impact factor: 2.545

Review 5.  Staging and following common pediatric malignancies: MRI versus CT versus functional imaging.

Authors:  Stephan D Voss
Journal:  Pediatr Radiol       Date:  2018-08-04

Review 6.  Imaging strategy for early ovarian cancer: characterization of adnexal masses with conventional and advanced imaging techniques.

Authors:  Pegah Mohaghegh; Andrea G Rockall
Journal:  Radiographics       Date:  2012-10       Impact factor: 5.333

7.  Treatment of ovarian lesions in children and adolescents: a retrospective study of 130 cases.

Authors:  Claudio Spinelli; Valentina Pucci; Silvia Strambi; Roberto Lo Piccolo; Alessandra Martin; Antonio Messineo
Journal:  Pediatr Hematol Oncol       Date:  2013-11-25       Impact factor: 1.969

8.  ESUR recommendations for MR imaging of the sonographically indeterminate adnexal mass: an update.

Authors:  Rosemarie Forstner; Isabelle Thomassin-Naggara; Teresa Margarida Cunha; Karen Kinkel; Gabriele Masselli; Rahel Kubik-Huch; John A Spencer; Andrea Rockall
Journal:  Eur Radiol       Date:  2016-10-21       Impact factor: 5.315

9.  MR imaging of ovarian masses: classification and differential diagnosis.

Authors:  Pietro Valerio Foti; Giancarlo Attinà; Saveria Spadola; Rosario Caltabiano; Renato Farina; Stefano Palmucci; Giuseppe Zarbo; Rosario Zarbo; Maria D'Arrigo; Pietro Milone; Giovanni Carlo Ettorre
Journal:  Insights Imaging       Date:  2015-12-16

10.  MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review.

Authors:  Lotte W E van Nimwegen; Annelies M C Mavinkurve-Groothuis; Ronald R de Krijger; Caroline C C Hulsker; Angelique J Goverde; József Zsiros; Annemieke S Littooij
Journal:  Eur Radiol       Date:  2019-09-16       Impact factor: 5.315

View more
  1 in total

1.  Machine-learning-based contrast-enhanced computed tomography radiomic analysis for categorization of ovarian tumors.

Authors:  Jiaojiao Li; Tianzhu Zhang; Juanwei Ma; Ningnannan Zhang; Zhang Zhang; Zhaoxiang Ye
Journal:  Front Oncol       Date:  2022-08-09       Impact factor: 5.738

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.