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Sirajuddin A, Mirmomen SM, Henry TS, Kandathil A, Kelly AM, King CS, Kuzniewski CT, Lai AR, Lee E, Martin MD, Mehta P, Morris MF, Raptis CA, Roberge EA, Sandler KL, Donnelly EF. ACR Appropriateness Criteria® Suspected Pulmonary Hypertension: 2022 Update. J Am Coll Radiol 2022; 19:S502-S512. [PMID: 36436973 DOI: 10.1016/j.jacr.2022.09.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 11/27/2022]
Abstract
Pulmonary hypertension may be idiopathic or related to a large variety of diseases. Various imaging examinations may be helpful in diagnosing and determining the etiology of pulmonary hypertension. Imaging examinations discussed in this document include chest radiography, ultrasound echocardiography, ventilation/perfusion scintigraphy, CT, MRI, right heart catheterization, and pulmonary angiography. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer-reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances in which peer-reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
| | | | - Travis S Henry
- Panel Chair, University of California San Francisco, San Francisco, California; Co-Director, ACR Education Center High Resolution CT of the Chest Course; Division Chief of Cardiothoracic Imaging, Duke University
| | - Asha Kandathil
- University of Texas Southwestern Medical Center, Dallas, Texas; Associate Program Director, Cardiothoracic Radiology Fellowship, The University of Texas Southwestern Medical Center
| | - Aine Marie Kelly
- Emory University Hospital, Atlanta, Georgia; Assistant Program Director Radiology Residency
| | - Christopher S King
- Inova Fairfax Hospital, Falls Church, Virginia; American College of Chest Physicians; Associate Medical Director, Advanced Lung Disease and Transplant Program; Associate Medical Director, Pulmonary Hypertension Program; System Director, Respiratory Therapy; Pulmonary Fibrosis Foundation
| | | | - Andrew R Lai
- University of California San Francisco, San Francisco, California; Primary care physician; former Director of the University of California San Francisco Hospitalist Procedure Service; former Director of the University of California San Francisco Division of Hospital Medicine's Case Review Committee, and former Director of procedures/quality improvement rotation for for the UCSF Internal Medicince residency
| | - Elizabeth Lee
- University of Michigan Health System, Ann Arbor, Michigan; Director M1Radiology Education University of Michigan Medical School, Associated Program Director Diagnostic Radiology Michigan Medicine, Director of Residency Education Cardiothoracic Division Michigan
| | - Maria D Martin
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Director Diversity and Inclusion, Department of Radiology, University of Wisconsin School of Medicine and Public Health
| | - Parth Mehta
- University of Illinois at Chicago College of Medicine, Chicago, Illinois; American College of Physicians
| | - Michael F Morris
- University of Arizona College of Medicine, Phoenix, Arizona; Director of Cardiac CT and MRI
| | | | - Eric A Roberge
- Uniformed Services University of the Health Sciences-Madigan Army Medical Center, Joint Base Lewis-McChord, Washington
| | - Kim L Sandler
- Vanderbilt University Medical Center, Nashville, Tennessee; Imaging Chair Thoracic Committee ECOG-ACRIN; Co-Chair Lung Screening 2.0 Steering Committee; Co-Director Vanderbilt Lung Screening Program
| | - Edwin F Donnelly
- Specialty Chair, The Ohio State University Wexner Medical Center, Columbus, Ohio; Ohio State University Medical Center: Chief of Thoracic Radiology, Interim Vice Chair of Academic Affairs, Department of Radiology
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Abstract
Purpose of Review Pulmonary arterial hypertension (PAH) is a progressive disease with high mortality. A greater understanding of the physiology and function of the cardiovascular system in PAH will help improve survival. This review covers the latest advances within cardiovascular magnetic resonance imaging (CMR) regarding diagnosis, evaluation of treatment, and prognostication of patients with PAH. Recent Findings New CMR measures that have been proven relevant in PAH include measures of ventricular and atrial volumes and function, tissue characterization, pulmonary artery velocities, and arterio-ventricular coupling. Summary CMR markers carry prognostic information relevant for clinical care such as treatment response and thereby can affect survival. Future research should investigate if CMR, as a non-invasive method, can improve existing measures or even provide new and better measures in the diagnosis, evaluation of treatment, and determination of prognosis of PAH.
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Abstract
PURPOSE OF REVIEW Pulmonary hypertension is a life-shortening condition, which may be idiopathic but is more frequently seen in association with other conditions. Current guidelines recommend cardiac catheterization to confirm the diagnosis of pulmonary hypertension. Evidence suggests an increasing role for noninvasive imaging modalities in the initial diagnostic and prognostic assessment and evaluation of treatment response. RECENT FINDINGS In this review we examine the evidence for current noninvasive imaging methodologies: echocardiography computed tomography and MRI in the diagnostic and prognostic assessment of suspected pulmonary hypertension and explore the potential utility of modeling and machine-learning approaches. SUMMARY Noninvasive imaging allows a comprehensive assessment of patients with suspected pulmonary hypertension. It plays a key part in the initial diagnostic and prognostic assessment and machine-learning approaches show promise in the diagnosis of pulmonary hypertension.
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