ACR Appropriateness Criteria® Placenta Accreta Spectrum Disorder.

AUC Abnormal placentation Appropriate Use Criteria Appropriateness Criteria Imaging placenta MRI placenta PASD Placenta accreta spectrum disorder US placenta

Journal

Journal of the American College of Radiology : JACR
ISSN: 1558-349X
Titre abrégé: J Am Coll Radiol
Pays: United States
ID NLM: 101190326

Informations de publication

Date de publication:
May 2020
Historique:
received: 27 01 2020
accepted: 30 01 2020
entrez: 7 5 2020
pubmed: 7 5 2020
medline: 22 6 2021
Statut: ppublish

Résumé

Placenta accreta spectrum disorder (PASD) is the current terminology recommended by the International Federation of Obstetrics and Gynecology (FIGO) and should replace terms such as abnormally adherent/invasive placenta or morbidly adherent placenta. PASD refers to a variety of potential clinical complications, which may result from abnormal placental implantation. More specifically, placenta accreta refers to a defect in the decidua basalis where the chorionic villi adhere directly to the myometrium with trophoblastic invasion. Accurate antenatal diagnosis is needed to plan for an appropriate delivery strategy at an experienced center in order to reduce maternal and potential fetal morbidity and mortality. Obtaining radiologic and clinical data when PASD is first suspected can play a significant role in formulating an appropriate delivery strategy. Depending on the clinical risk factors and initial imaging findings, transabdominal ultrasound of the pregnant uterus with duplex Doppler and transvaginal ultrasound as needed are the most appropriate imaging procedures. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.

Identifiants

pubmed: 32370965
pii: S1546-1440(20)30119-8
doi: 10.1016/j.jacr.2020.01.031
pii:
doi:

Types de publication

Practice Guideline Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

S207-S214

Informations de copyright

Copyright © 2020 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Auteurs

Liina Poder (L)

University of California San Francisco, San Francisco, California. Electronic address: liina.poder@ucsf.edu.

Stefanie Weinstein (S)

Research Author, University of California San Francisco, San Francisco, California.

Katherine E Maturen (KE)

Panel Chair, University of Michigan, Ann Arbor, Michigan.

Vickie A Feldstein (VA)

University of California San Francisco, San Francisco, California.

David C Mackenzie (DC)

Maine Medical Center, Portland, Maine; American College of Emergency Physicians.

Edward R Oliver (ER)

Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Thomas D Shipp (TD)

Brigham & Women's Hospital, Boston, Massachusetts; American College of Obstetricians and Gynecologists.

Loretta M Strachowski (LM)

University of California San Francisco, San Francisco, California.

Betsy L Sussman (BL)

The University of Vermont Medical Center, Burlington, Vermont.

Eileen Y Wang (EY)

Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; American College of Obstetricians and Gynecologists.

Therese M Weber (TM)

University of Alabama at Birmingham, Birmingham, Alabama.

Bradford P Whitcomb (BP)

University of Connecticut, Farmington, Connecticut; Society of Gynecologic Oncology.

Phyllis Glanc (P)

Specialty Chair, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

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Classifications MeSH