Literature DB >> 12076922

MR imaging pelvimetry: a useful adjunct in the treatment of women at risk for dystocia?

Stefan Spörri1, Harriet C Thoeny, Luigi Raio, Remo Lachat, Peter Vock, Henning Schneider.   

Abstract

OBJECTIVE: The objective of this study was to test the clinical value of MR imaging for diagnosing cephalopelvic disproportion and for predicting labor outcome in women at risk for dystocia. SUBJECTS AND METHODS: Antepartum fetal sonography and maternal MR imaging pelvimetry measurements were performed at term in 38 pregnant women at risk for dystocia with a single fetus in cephalic presentation. Various methods used to diagnose cephalopelvic disproportion were evaluated in a blinded manner for their accuracy to predict both the presence of cephalopelvic disproportion and the mode of delivery (vaginal vs cesarean).
RESULTS: None of the methods tested yielded both high sensitivity (15-100%) and high specificity (24-92%) for determining the presence of cephalopelvic disproportion and high levels of accuracy for predicting labor outcome (overall predictability, 50-74%).
CONCLUSION: To achieve increased reliability of MR imaging pelvimetry in the diagnosis and treatment of dystocia and in predicting labor outcome, new methods assessing fetal-pelvic compatibility, including measurements of the pelvic outlet and the shape and configuration of the pelvis, need to be established and prospectively tested before firm recommendations for clinical use can be made.

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Mesh:

Year:  2002        PMID: 12076922     DOI: 10.2214/ajr.179.1.1790137

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  15 in total

1.  Three-dimensional camera anthropometry to assess risk of cephalopelvic disproportion-related obstructed labour in Ethiopia.

Authors:  Lorenzo Tolentino; Mahlet Yigeremu; Sisay Teklu; Shehab Attia; Michael Weiler; Nate Frank; J Brandon Dixon; Rudolph L Gleason
Journal:  Interface Focus       Date:  2019-08-16       Impact factor: 3.906

2.  Which Foetal-Pelvic Variables Are Useful for Predicting Caesarean Section and Instrumental Assistance?

Authors:  P Frémondière; L Thollon; P Adalian; J Delotte; F Marchal
Journal:  Med Princ Pract       Date:  2017-05-23       Impact factor: 1.927

3.  Pelvic inlet shape measured by three-dimensional pelvimetry is a predictor of the operative time in the anterior resection of rectal cancer.

Authors:  Takehiro Shimada; Masashi Tsuruta; Hirotoshi Hasegawa; Koji Okabayashi; Takashi Ishida; Yusuke Asada; Hirofumi Suzumura; Yuko Kitagawa
Journal:  Surg Today       Date:  2017-06-08       Impact factor: 2.549

Review 4.  Pelvimetry for fetal cephalic presentations at or near term for deciding on mode of delivery.

Authors:  Robert C Pattinson; Anna Cuthbert; Valerie Vannevel
Journal:  Cochrane Database Syst Rev       Date:  2017-03-30

5.  Magnetic resonance pelvimetry for trial of labour after a previous caesarean section.

Authors:  Vaidyanathan Gowri; Rajeev Jain; Syed Rizvi
Journal:  Sultan Qaboos Univ Med J       Date:  2010-07-19

6.  Transitional Female Sacrum: Dimensions, Alterations in Dorsal Pelvic Structure, and Potential Obstetric Implications.

Authors:  Niladri Kumar Mahato
Journal:  Oman Med J       Date:  2018-01

7.  The shape of uterine contractions and labor progress in the spontaneous active labor.

Authors:  Samira Ebrahimzadeh Zagami; Nahid Golmakani; Seyyed Ali-Reza Saadatjoo; Nayyereh Ghomian; Behjat Baghbani
Journal:  Iran J Med Sci       Date:  2015-03

8.  Risk factors of dystocia in nulliparous women.

Authors:  Rahele Alijahan; Masoumeh Kordi
Journal:  Iran J Med Sci       Date:  2014-05

9.  Uterine contractions' pattern in active phase of labor as a predictor of failure to progress.

Authors:  Tahereh Galinimoghaddam; Narges Moslemizadeh; Zahra Seifollahpour; Zohreh Shahhosseini; Mahmonier Danesh
Journal:  Glob J Health Sci       Date:  2014-03-24

10.  New MRI Criteria for Successful Vaginal Breech Delivery in Primiparae.

Authors:  Janine Hoffmann; Katrin Thomassen; Patrick Stumpp; Matthias Grothoff; Christoph Engel; Thomas Kahn; Holger Stepan
Journal:  PLoS One       Date:  2016-08-17       Impact factor: 3.240

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