Literature DB >> 24026621

Diagnostic confidence analysis in the magnetic resonance imaging of ovarian and deep endometriosis: comparison with surgical results.

Luca Saba1, Rosa Sulcis, Gian Benedetto Melis, Giannina Ibba, Juan Luis Alcazar, Mario Piga, Stefano Guerriero.   

Abstract

OBJECTIVE: To assess the diagnostic confidence of multiple readers in the magnetic resonance imaging (MRI) diagnosis of endometriosis.
METHODS: Sixty-five patients (mean age 33; range 19-45 years) who had undergone MRI were retrospectively evaluated. Five regions were analysed and the presence of endometriosis was scored on a five-point scale in order to assess the diagnostic confidence. Statistical analysis included receiver operating characteristic (ROC) curve analysis, the Cohen weighted test and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, positive likelihood ratio (LR+) and negative likelihood ratio (LR-).
RESULTS: The areas under the curve (AUC) in the detection of ovarian endometrioma were 0.942, 0.893 and 0.883 for readers 1, 2 and 3, respectively; in the uterosacral ligament (USL) AUCs were 0.907, 0.804 and 0.842; in the vaginal fornix (VF) 0.819, 0.733 and 0.69; in the anterior compartment 0.916, 0.833 and 0.873; and in the rectum/sigma/pouch of Douglas (RSD) 0.936, 0.856 and 0.834.
CONCLUSIONS: Diagnostic confidence of the observers is different according to the region of the nodules of endometriosis and it can be challenging in the VF and for the less experience readers also in the AC and RSD. Moreover the degree of uncertain diagnosis for the less expert readers may reach up to one third of the examinations. KEY POINTS: • Magnetic resonance imaging (MRI) is increasingly used to assess endometriosis • The diagnostic confidence of observers varies according to the location of endometriosis • The diagnosis is more difficult to establish by MRI in some anatomical locations • Specific training should be given concerning those locations that cause difficulty.

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Year:  2013        PMID: 24026621     DOI: 10.1007/s00330-013-3013-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  22 in total

1.  Magnetic resonance imaging characteristics of deep endometriosis.

Authors:  K Kinkel; C Chapron; C Balleyguier; X Fritel; J B Dubuisson; J F Moreau
Journal:  Hum Reprod       Date:  1999-04       Impact factor: 6.918

2.  Learning curve in the detection of ovarian and deep endometriosis by using Magnetic Resonance: comparison with surgical results.

Authors:  Luca Saba; Stefano Guerriero; Rosa Sulis; Monica Pilloni; Silvia Ajossa; Gianbenedetto Melis; Giorgio Mallarini
Journal:  Eur J Radiol       Date:  2010-02-19       Impact factor: 3.528

Review 3.  Evidence of reference standard related bias in studies of plain radiograph reading performance: a meta-regression.

Authors:  S D Brealey; A J Scally; S Hahn; C Godfrey
Journal:  Br J Radiol       Date:  2006-12-06       Impact factor: 3.039

4.  The value of pelvic MRI in the diagnosis of posterior cul-de-sac obliteration in cases of deep pelvic endometriosis.

Authors:  Sabrina Macario; Madleen Chassang; Sebastien Novellas; Guillaume Baudin; Jerome Delotte; Olivier Toullalan; Patrick Chevallier
Journal:  AJR Am J Roentgenol       Date:  2012-12       Impact factor: 3.959

5.  Endometriosis: appearance and detection at MR imaging.

Authors:  M Zawin; S McCarthy; L Scoutt; F Comite
Journal:  Radiology       Date:  1989-06       Impact factor: 11.105

Review 6.  Clinical practice. Endometriosis.

Authors:  Linda C Giudice
Journal:  N Engl J Med       Date:  2010-06-24       Impact factor: 91.245

7.  MR imaging of endometriosis: ten imaging pearls.

Authors:  Evan S Siegelman; Edward R Oliver
Journal:  Radiographics       Date:  2012-10       Impact factor: 5.333

8.  Utility of vaginal and rectal contrast medium in MRI for the detection of deep pelvic endometriosis.

Authors:  M Chassang; S Novellas; C Bloch-Marcotte; J Delotte; O Toullalan; A Bongain; P Chevallier
Journal:  Eur Radiol       Date:  2009-10-28       Impact factor: 5.315

9.  Three-dimensional sonographic characteristics of deep endometriosis.

Authors:  Stefano Guerriero; Juan Luis Alcázar; Silvia Ajossa; Monica Pilloni; Gian Benedetto Melis
Journal:  J Ultrasound Med       Date:  2009-08       Impact factor: 2.153

10.  Diagnosis of pelvic adhesions in patients with endometrioma: the role of transvaginal ultrasonography.

Authors:  Stefano Guerriero; Silvia Ajossa; Nicoletta Garau; Juan Luis Alcazar; Valerio Mais; Gian Benedetto Melis
Journal:  Fertil Steril       Date:  2009-04-14       Impact factor: 7.329

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  2 in total

Review 1.  Imaging modalities for the non-invasive diagnosis of endometriosis.

Authors:  Vicki Nisenblat; Patrick M M Bossuyt; Cindy Farquhar; Neil Johnson; M Louise Hull
Journal:  Cochrane Database Syst Rev       Date:  2016-02-26

2.  Does the clinical information play a role in the magnetic resonance diagnostic confidence analysis of ovarian and deep endometriosis?

Authors:  Luca Saba; Silvia Ajossa; Giuseppe Ledda; Antonella Balestrieri; Federica Schirru; Carlo Nicola De Cecco; Jasjit S Suri; Gian Benedetto Melis; Francesco Lavra; Stefano Guerriero
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

  2 in total

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