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Lee K, Brennan PC, Lau E, Suleiman ME, Raveendrampillai S, Tapia K, Abubakar A, Ekpo E. Urgent findings in CT chest examinations: Radiography and medical students' capabilities and learning perspectives - a preliminary study. Radiography (Lond) 2025:S1078-8174(25)00002-1. [PMID: 39824685 DOI: 10.1016/j.radi.2025.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Revised: 12/16/2024] [Accepted: 01/02/2025] [Indexed: 01/20/2025]
Abstract
INTRODUCTION Radiography and medical students (RMS), upon graduation, require capabilities to provide life-saving care through identification and communication of urgent findings on radiological imaging. This preliminary study investigated RMS' ability to identify and categorise urgent findings on CT examinations. It also explored their experiences of image interpretation education. METHODS A sequential explanatory mixed-methods study was employed. Participants were students who had recently completed Year-4 (radiography/medicine) or Year-2 (medicine-only) from three Australian universities. Urgent finding identification capabilities were assessed via a test-set of 10 CT examinations with a range of findings (normal, abnormal but non-urgent, abnormal but urgent) that was developed on a validated learning and assessment platform. Each case required selection of: normal versus abnormal; where abnormal, finding/s from a pre-defined list; urgency level; self-rated confidence. Learning experiences were then explored via a survey (Likert statements, free-text responses). RESULTS Mean sensitivity, specificity and accuracy (with min‒max ranges), respectively, were: All participants [n = 30] 0.87 (0.60-1.0), 0.63 (0.40-1.0), 0.75 (0.50-1.0); 4th-year radiography [n = 17] 0.89 (0.6-1.0), 0.66 (0.4-1.0), 0.78 (0.60-1.0); 4th-year medicine [n = 8] 0.85 (0.6-1.0), 0.50 (0.4-0.6), 0.68 (0.50-0.8); 2nd-year medicine [n = 5] 0.80 (0.60-1.0), 0.75 (0.75-1.0), 0.78 (0.78-0.78). False positives were highest for cases with non-urgent abnormalities in all groups. Free-text responses revealed students' desire for dedicated urgent finding educational resources with high 'repetitive learning' effects. CONCLUSIONS RMS demonstrated considerable performance in identifying urgent abnormalities as a group, but individual capabilities varied from pass-level to perfect. Together, participants demonstrated limited ability to correctly classify non-urgent CT chest abnormalities. IMPLICATIONS FOR PRACTICE This study highlights opportunities for targeted urgent-finding resource development, focused on improving consistency within cohorts and reducing false positive rates.
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Affiliation(s)
- K Lee
- Discipline of Medical Imaging Science, University of Sydney, Camperdown, NSW, Australia; Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, VIC, Australia.
| | - P C Brennan
- Discipline of Medical Imaging Science, University of Sydney, Camperdown, NSW, Australia.
| | - E Lau
- Department of Radiology, Austin Health, Heidelberg, VIC, Australia.
| | - M E Suleiman
- Discipline of Medical Imaging Science, University of Sydney, Camperdown, NSW, Australia.
| | | | - K Tapia
- Discipline of Medical Imaging Science, University of Sydney, Camperdown, NSW, Australia.
| | - A Abubakar
- Medical Imaging Practice and Clinical Learning, Deakin University, Waurn Ponds, VIC, Australia.
| | - E Ekpo
- Discipline of Medical Imaging Science, University of Sydney, Camperdown, NSW, Australia.
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Friedman RS, Haramati LB, Christian TF, Sokol SI, Alis J. Heart lung axis in acute pulmonary embolism: Role of CT in risk stratification. Clin Imaging 2024; 116:110311. [PMID: 39413674 DOI: 10.1016/j.clinimag.2024.110311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2024] [Revised: 09/30/2024] [Accepted: 10/06/2024] [Indexed: 10/18/2024]
Abstract
Pulmonary embolism (PE) remains a significant cause of mortality requiring prompt diagnosis and risk stratification. This review focuses on the role of computed tomography (CT) in the risk stratification of acute PE, highlighting its impact on patient management. We will explore basic pathophysiology of pulmonary embolism (PE) and review current guidelines, which will help radiologists interpret images within a broader clinical context. This review covers key CT findings which can be used for risk stratification including indicators of right ventricular (RV) dysfunction, clot burden, clot location and left atrial volume. We will discuss the measurement of RV/LV diameter ratio as a key indicator of RV dysfunction and its limitations and challenges within various patient populations. While these parameters should be included in a radiologist's report, their predictive value for mortality depends on the patient's existing cardiopulmonary reserve and should not be interpreted in isolation.
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Affiliation(s)
- Renee S Friedman
- Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, United States of America.
| | - Linda B Haramati
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, PO Box 208042, Tompkin's East 2, New Haven, CT 06520, United States of America
| | - Timothy F Christian
- Department of Cardiology, Jacobi Medical Center, 1400 Pelham Parkway South, Bronx, NY 10461, United States of America.
| | - Seth I Sokol
- Department of Cardiology, Jacobi Medical Center, 1400 Pelham Parkway South, Bronx, NY 10461, United States of America.
| | - Jonathan Alis
- Department of Radiology, Jacobi Medical Center, 1400 Pelham Parkway South, Bronx, NY 10461, United States of America
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Yaghoobpoor S, Fathi M, Taher HJ, Farhood AJ, Bahrami A, Eshraghi R, Hajibeygi R, Tutunchian Z, Myers L, Ahmadi R, Gholamrezanezhad A. Computed tomography pulmonary angiography (CTPA) for the detection of pulmonary embolism (PE) among trauma patients: a systematic review and meta-analysis. Emerg Radiol 2024; 31:567-580. [PMID: 38844660 PMCID: PMC11289063 DOI: 10.1007/s10140-024-02249-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 05/28/2024] [Indexed: 07/31/2024]
Abstract
BACKGROUND AND OBJECTIVES Computed tomography pulmonary angiography (CTPA) is a standard imaging technique employed for the detection of pulmonary embolism (PE). This systematic review and meta-analysis aims to examine the prevalence of PE among the trauma patients undergoing CTPA. METHODS A comprehensive search across PubMed, Scopus, Google Scholar, and Web of Science yielded 13 studies encompassing 5,570 individuals conducted following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guideline. Studies that used CTPA for the detection of PE among the trauma patients were selected. This resulted in an evaluation of prevalence, trauma types, clinical manifestations, radiological findings, and mortality rates of PE among traumatic patients undergoing CTPA. RESULTS The overall prevalence of PE among trauma patients undergoing CTPA was 18% (95% CI = 13-24%). After pooling the existing data, femur fractures were determined to be the most prevalent trauma type (12%). The most prevalent clinical manifestations of PE among trauma patients included shortness of breath, chest pain, and altered vital signs. Radiological findings encompassed various pulmonary abnormalities, such as opacity, ground-glass opacities, and pleural effusions. Mortality rates of PE among the trauma patients ranged from 0% to 29.4% across the included studies. CONCLUSION This study provides comprehensive insights into the prevalence, clinical manifestations, radiological findings and mortality of PE among trauma patients undergoing CTPA. According to our findings, lower threshold for CTPA is recommended in patients with lower extremity or spine fractures.
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Affiliation(s)
- Shirin Yaghoobpoor
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran, Iran
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mobina Fathi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran, Iran
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | | | - Ashkan Bahrami
- Faculty of Medicine, Kashan University of Medical Science, Kashan, Iran
| | - Reza Eshraghi
- Faculty of Medicine, Kashan University of Medical Science, Kashan, Iran
| | - Ramtin Hajibeygi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran, Iran
| | - Zohreh Tutunchian
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Lee Myers
- Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California, USA
| | - Rojin Ahmadi
- School of Medicine, Islamic Azad University Medical Branch of Tehran, Tehran, Iran
| | - Ali Gholamrezanezhad
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, USA.
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4
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McCracken C, Szabo L, Abdulelah ZA, Condurache DG, Vago H, Nichols TE, Petersen SE, Neubauer S, Raisi-Estabragh Z. Ventricular volume asymmetry as a novel imaging biomarker for disease discrimination and outcome prediction. EUROPEAN HEART JOURNAL OPEN 2024; 4:oeae059. [PMID: 39119202 PMCID: PMC11306927 DOI: 10.1093/ehjopen/oeae059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/15/2024] [Accepted: 07/10/2024] [Indexed: 08/10/2024]
Abstract
Aims Disruption of the predictable symmetry of the healthy heart may be an indicator of cardiovascular risk. This study defines the population distribution of ventricular asymmetry and its relationships across a range of prevalent and incident cardiorespiratory diseases. Methods and results The analysis includes 44 796 UK Biobank participants (average age 64.1 ± 7.7 years; 51.9% women). Cardiovascular magnetic resonance (CMR) metrics were derived using previously validated automated pipelines. Ventricular asymmetry was expressed as the ratio of left and right ventricular (LV and RV) end-diastolic volumes. Clinical outcomes were defined through linked health records. Incident events were those occurring for the first time after imaging, longitudinally tracked over an average follow-up time of 4.75 ± 1.52 years. The normal range for ventricular symmetry was defined in a healthy subset. Participants with values outside the 5th-95th percentiles of the healthy distribution were classed as either LV dominant (LV/RV > 112%) or RV dominant (LV/RV < 80%) asymmetry. Associations of LV and RV dominant asymmetry with vascular risk factors, CMR features, and prevalent and incident cardiovascular diseases (CVDs) were examined using regression models, adjusting for vascular risk factors, prevalent diseases, and conventional CMR measures. Left ventricular dominance was linked to an array of pre-existing vascular risk factors and CVDs, and a two-fold increased risk of incident heart failure, non-ischaemic cardiomyopathies, and left-sided valvular disorders. Right ventricular dominance was associated with an elevated risk of all-cause mortality. Conclusion Ventricular asymmetry has clinical utility for cardiovascular risk assessment, providing information that is incremental to traditional risk factors and conventional CMR metrics.
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Affiliation(s)
- Celeste McCracken
- Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Liliana Szabo
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Heart and Vascular Center, Semmelweis University, Budapest 1122, Hungary
| | - Zaid A Abdulelah
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Dorina-Gabriela Condurache
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Hajnalka Vago
- Heart and Vascular Center, Semmelweis University, Budapest 1122, Hungary
- Department of Sports Medicine, Semmelweis University, Budapest 1085, Hungary
| | - Thomas E Nichols
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford OX3 9DA, UK
- Big Data Institute, University of Oxford, Oxford OX3 7LF, UK
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford OX3 7LF, UK
| | - Steffen E Petersen
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Health Data Research UK, London NW1 2BE, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Zahra Raisi-Estabragh
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
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Djahnine A, Lazarus C, Lederlin M, Mulé S, Wiemker R, Si-Mohamed S, Jupin-Delevaux E, Nempont O, Skandarani Y, De Craene M, Goubalan S, Raynaud C, Belkouchi Y, Afia AB, Fabre C, Ferretti G, De Margerie C, Berge P, Liberge R, Elbaz N, Blain M, Brillet PY, Chassagnon G, Cadour F, Caramella C, Hajjam ME, Boussouar S, Hadchiti J, Fablet X, Khalil A, Talbot H, Luciani A, Lassau N, Boussel L. Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution. Diagn Interv Imaging 2024; 105:97-103. [PMID: 38261553 DOI: 10.1016/j.diii.2023.09.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 01/25/2024]
Abstract
PURPOSE The purpose of this study was to propose a deep learning-based approach to detect pulmonary embolism and quantify its severity using the Qanadli score and the right-to-left ventricle diameter (RV/LV) ratio on three-dimensional (3D) computed tomography pulmonary angiography (CTPA) examinations with limited annotations. MATERIALS AND METHODS Using a database of 3D CTPA examinations of 1268 patients with image-level annotations, and two other public datasets of CTPA examinations from 91 (CAD-PE) and 35 (FUME-PE) patients with pixel-level annotations, a pipeline consisting of: (i), detecting blood clots; (ii), performing PE-positive versus negative classification; (iii), estimating the Qanadli score; and (iv), predicting RV/LV diameter ratio was followed. The method was evaluated on a test set including 378 patients. The performance of PE classification and severity quantification was quantitatively assessed using an area under the curve (AUC) analysis for PE classification and a coefficient of determination (R²) for the Qanadli score and the RV/LV diameter ratio. RESULTS Quantitative evaluation led to an overall AUC of 0.870 (95% confidence interval [CI]: 0.850-0.900) for PE classification task on the training set and an AUC of 0.852 (95% CI: 0.810-0.890) on the test set. Regression analysis yielded R² value of 0.717 (95% CI: 0.668-0.760) and of 0.723 (95% CI: 0.668-0.766) for the Qanadli score and the RV/LV diameter ratio estimation, respectively on the test set. CONCLUSION This study shows the feasibility of utilizing AI-based assistance tools in detecting blood clots and estimating PE severity scores with 3D CTPA examinations. This is achieved by leveraging blood clots and cardiac segmentations. Further studies are needed to assess the effectiveness of these tools in clinical practice.
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Affiliation(s)
- Aissam Djahnine
- Philips Research France, 92150 Suresnes, France; CREATIS, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France.
| | | | | | - Sébastien Mulé
- Medical Imaging Department, Henri Mondor University Hospital, AP-HP, Créteil, France, Inserm, U955, Team 18, 94000 Créteil, France
| | | | - Salim Si-Mohamed
- Department of Radiology, Hospices Civils de Lyon, 69500 Lyon, France
| | | | | | | | | | | | | | - Younes Belkouchi
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; OPIS - Optimisation Imagerie et Santé, Université Paris-Saclay, Inria, CentraleSupélec, CVN - Centre de vision numérique, 91190 Gif-Sur-Yvette, France
| | - Amira Ben Afia
- Department of Radiology, APHP Nord, Hôpital Bichat, 75018 Paris, France
| | - Clement Fabre
- Department of Radiology, Centre Hospitalier de Laval, 53000 Laval, France
| | - Gilbert Ferretti
- Universite Grenobles Alpes, Service de Radiologie et Imagerie Médicale, CHU Grenoble-Alpes, 38000 Grenoble, France
| | - Constance De Margerie
- Université Paris Cité, 75006 Paris, France, Department of Radiology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 75010 Paris, France
| | - Pierre Berge
- Department of Radiology, CHU Angers, 49000 Angers, France
| | - Renan Liberge
- Department of Radiology, CHU Nantes, 44000 Nantes, France
| | - Nicolas Elbaz
- Department of Radiology, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France
| | - Maxime Blain
- Department of Radiology, Hopital Henri Mondor, AP-HP, 94000 Créteil, France
| | - Pierre-Yves Brillet
- Department of Radiology, Hôpital Avicenne, Paris 13 University, 93000 Bobigny, France
| | - Guillaume Chassagnon
- Department of Radiology, Hopital Cochin, APHP, 75014 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Farah Cadour
- APHM, Hôpital Universitaire Timone, CEMEREM, 13005 Marseille, France
| | - Caroline Caramella
- Department of Radiology, Groupe Hospitalier Paris Saint-Joseph, 75015 Paris, France
| | - Mostafa El Hajjam
- Department of Radiology, Hôpital Ambroise Paré Hospital, UMR 1179 INSERM/UVSQ, Team 3, 92100 Boulogne-Billancourt, France
| | - Samia Boussouar
- Sorbonne Université, Hôpital La Pitié-Salpêtrière, APHP, Unité d'Imagerie Cardiovasculaire et Thoracique (ICT), 75013 Paris, France
| | - Joya Hadchiti
- Department of Imaging, Institut Gustave Roussy, Université Paris-Saclay. 94800 Villejuif, France
| | - Xavier Fablet
- Department of Radiology, CHU Rennes, 35000 Rennes, France
| | - Antoine Khalil
- Department of Radiology, APHP Nord, Hôpital Bichat, 75018 Paris, France
| | - Hugues Talbot
- OPIS - Optimisation Imagerie et Santé, Université Paris-Saclay, Inria, CentraleSupélec, CVN - Centre de vision numérique, 91190 Gif-Sur-Yvette, France
| | - Alain Luciani
- Medical Imaging Department, Henri Mondor University Hospital, AP-HP, Créteil, France, Inserm, U955, Team 18, 94000 Créteil, France
| | - Nathalie Lassau
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, Université Paris-Saclay. 94800 Villejuif, France
| | - Loic Boussel
- CREATIS, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France; Department of Radiology, Hospices Civils de Lyon, 69500 Lyon, France
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Vuong ADB, Pham TH, Bui VH, Nguyen XT, Trinh NB, Nguyen YON, Le DKT, Nguyen PN. Successfully conservative management of the uterus in acute pulmonary embolism during cesarean section for placenta previa: a case report from Tu Du Hospital, Vietnam and literature review. Int J Emerg Med 2024; 17:14. [PMID: 38287235 PMCID: PMC10823749 DOI: 10.1186/s12245-024-00587-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 01/12/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Cardiopulmonary collapse is a catastrophic event in cesarean section, which leads to adverse outcomes for both the mother and the fetus. Pulmonary embolism is one of the rare etiologies of this entity. We herein reported the successful management of acute embolism pulmonary associated with cesarean delivery on a healthy pregnant woman at our tertiary referral hospital. CASE PRESENTATION A full-term pregnant woman hospitalized for planned cesarean delivery due to placenta previa without cardiorespiratory diseases. She was scheduled uneventfully for a planned cesarean section. After placental delivery, the patient spontaneously fell into cardiopulmonary collapse and her vital signs deteriorated rapidly. The obstetricians promptly completed the cesarean section and performed all procedures to prevent the PPH and preserve the uterus. At the same time, the anesthesiologists continued to carry out advanced heart-lung resuscitation in order to control her vital signs. After surgery, the multidisciplinary team assessed the patient and found a thrombus in her pulmonary circulation. Therefore, the patient was managed with therapeutic anticoagulation. The patient recovered in good clinical condition and was discharged after 2 weeks without any complications. CONCLUSIONS The diagnosis of acute pulmonary embolism is extremely difficult due to uncommon occurrence, sudden onset, and non-specific presentation. Awareness of this life-threatening pathology during cesarean delivery should be raised. Interdisciplinary assessment must be essentially established in this life-threatening condition. After the whole conventional management, uterine conservation may be acceptable where applicable. Further data is required to encourage this finding.
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Affiliation(s)
- Anh Dinh Bao Vuong
- Department of High-Risk Pregnancy, Tu Du Hospital, 284 Cong Quynh, Pham Ngu Lao Ward, District 1, Ho Chi Minh City, 71012, Vietnam
| | - Thanh Hai Pham
- Tu Du Clinical Research Unit (TD-CRU), Tu Du Hospital, Ho Chi Minh City, Vietnam
| | - Van Hoang Bui
- Integrated Planning Room, Tu Du Hospital, Ho Chi Minh City, Vietnam
| | - Xuan Trang Nguyen
- Department of High-Risk Pregnancy, Tu Du Hospital, 284 Cong Quynh, Pham Ngu Lao Ward, District 1, Ho Chi Minh City, 71012, Vietnam
| | - Ngoc Bich Trinh
- Department of High-Risk Pregnancy, Tu Du Hospital, 284 Cong Quynh, Pham Ngu Lao Ward, District 1, Ho Chi Minh City, 71012, Vietnam
| | - Yen Oanh Ngoc Nguyen
- Department of High-Risk Pregnancy, Tu Du Hospital, 284 Cong Quynh, Pham Ngu Lao Ward, District 1, Ho Chi Minh City, 71012, Vietnam
| | - Dang Khoa Tran Le
- Department of High-Risk Pregnancy, Tu Du Hospital, 284 Cong Quynh, Pham Ngu Lao Ward, District 1, Ho Chi Minh City, 71012, Vietnam
| | - Phuc Nhon Nguyen
- Department of High-Risk Pregnancy, Tu Du Hospital, 284 Cong Quynh, Pham Ngu Lao Ward, District 1, Ho Chi Minh City, 71012, Vietnam.
- Tu Du Clinical Research Unit (TD-CRU), Tu Du Hospital, Ho Chi Minh City, Vietnam.
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7
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Othman MK, Yusof Z, Ismail ZKA, Sayuti KA, W Isa WYH. The Zurkurnai ECG Pattern: A Novel ECG Pattern of the High-Risk Features of Acute Pulmonary Embolism. Cureus 2024; 16:e52889. [PMID: 38274596 PMCID: PMC10808894 DOI: 10.7759/cureus.52889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2024] [Indexed: 01/27/2024] Open
Abstract
Acute pulmonary embolism is an important differential diagnosis in patients presenting with acute shortness of breath. However, the overlapping clinical presentation between acute coronary syndrome, aortic dissection, pneumonia, and heart failure made the diagnosis of pulmonary embolism very challenging in a limited resources center. We present a case of acute pulmonary embolism with an uncommon ECG pattern that was initially misdiagnosed as acute coronary syndrome. The authors made the appropriate diagnosis using the Zurkurnai ECG pattern in acute pulmonary embolism, which is defined as the presence of right axis deviation, deep symmetrical T wave inversion in V1 to V5, II, III, and AVF with the maximum at V3-V4 and poor R wave progression, which indicates the high-risk features of acute pulmonary embolism.
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Affiliation(s)
- Mohd Khairi Othman
- Department of Internal Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS
| | - Zurkurnai Yusof
- Department of Internal Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS
| | | | - Khairil Amir Sayuti
- Department of Radiology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS
| | - W Yus Haniff W Isa
- Department of Internal Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS
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Isath A, Shah R, Bandyopadhyay D, Bali A, Kanwal A, Spevack D, Ranjan P, Goldberg JB. Dispelling the Saddle Pulmonary Embolism Myth (from a Comparison of Saddle Versus Non-Saddle Pulmonary Embolism). Am J Cardiol 2023; 201:341-348. [PMID: 37406578 DOI: 10.1016/j.amjcard.2023.06.048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 05/19/2023] [Accepted: 06/11/2023] [Indexed: 07/07/2023]
Abstract
In the setting of an acute pulmonary embolism (PE), there is often an assumed association between a saddle PE (SPE) and increased clinical severity. We aimed to determine the magnitude of SPE proximal pulmonary artery (PA) flow obstruction and its impact on right ventricular (RV) function in the setting of acute PE in a single-center series. From 2005 to 2022, patients with acute PE presenting with acute RV dysfunction requiring intervention were classified as SPE and non-SPE based on presenting computed tomography (CT) scans. SPE flow obstruction was determined by the ratio of the orthogonal cross-sectional surface area measurements of clot and native PA at the location of maximum clot burden in the right PA and left PA. Presenting RV function based on clinical and imaging parameters (CT and transthoracic echocardiography) were compared between SPE and non-SPE cohorts. A total of 174 patients were identified (SPE 92 [52.9%] and non-SPE 82 [47.1%]). Demographics and co-morbidities were similar. In patients with SPE, there was a mean 25.9% total flow obstruction (right PA 26.9% and left PA 25.5%). Non-SPE had greater clinical RV dysfunction on presentation as reflected by more high-risk PE (43.9% vs 26.1%, p = 0.01), need for venoarterial extracorporeal membrane oxygenation (21.9% vs 10.9%, p = 0.05), and more preoperative cardiopulmonary resuscitation (16.7% vs 7.8%, p = 0.08). RV:left ventricular ratio (CT and transthoracic echocardiography) and RV fractional area change were statistically similar between groups. In-hospital mortality was statistically similar between cohorts (4.9% non-SPE vs 2.1% SPE, p = 0.32). In conclusion, in a single-center series of patients with acute PE with RV dysfunction, SPE did not cause proximal flow-limiting obstruction. Non-SPE was associated with more clinical RV dysfunction than SPE. Thus, it should not be assumed that a non-SPE is a marker of patient stability.
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Affiliation(s)
- Ameesh Isath
- Department of Cardiology, Westchester Medical Center, New York Medical College Valhalla, New York
| | - Ravi Shah
- Department of Cardiology, Westchester Medical Center, New York Medical College Valhalla, New York
| | | | - Atul Bali
- Department of Cardiology, Westchester Medical Center, New York Medical College Valhalla, New York
| | - Arjun Kanwal
- Department of Cardiology, Westchester Medical Center, New York Medical College Valhalla, New York
| | - Daniel Spevack
- Department of Cardiology, Westchester Medical Center, New York Medical College Valhalla, New York
| | - Pragya Ranjan
- Department of Cardiology, Westchester Medical Center, New York Medical College Valhalla, New York
| | - Joshua B Goldberg
- Division of Cardiothoracic Surgery, Westchester Medical Center, New York Medical College Valhalla, New York.
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Acute Pulmonary Embolism: Prognostic Role of Computed Tomography Pulmonary Angiography (CTPA). Tomography 2022; 8:529-539. [PMID: 35202207 PMCID: PMC8880178 DOI: 10.3390/tomography8010042] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 02/06/2022] [Accepted: 02/08/2022] [Indexed: 12/24/2022] Open
Abstract
Computed Tomography Pulmonary Angiography (CTPA) is considered the gold standard diagnostic technique in patients with suspected acute pulmonary embolism in emergency departments. Several studies have been conducted on the predictive value of CTPA on the outcomes of pulmonary embolism (PE). The purpose of this article is to provide an updated review of the literature reporting imaging parameters and quantitative CT scores to predict the severity of PE.
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Alirezaei T, Mahboubi-Fooladi Z, Irilouzadian R, Saberi Shahrbabaki A, Golestani H. CHA 2 DS 2 -VASc and PESI scores are associated with right ventricular dysfunction on computed tomography pulmonary angiography in patients with acute pulmonary thromboembolism. Clin Cardiol 2022; 45:224-230. [PMID: 35132667 PMCID: PMC8860482 DOI: 10.1002/clc.23786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/13/2022] [Accepted: 01/17/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Accurate risk stratification is the most important step in the management of patients with acute pulmonary thromboembolism (PTE). Pulmonary embolism severity index (PESI) is a clinical tool for PTE risk stratification. CHA2 DS2 -VASc score, a risk assessment tool in patients with atrial fibrillation, is recently considered for acute PTE. The presence of right ventricular (RV) dysfunction in imaging is more efficient in acute PTE risk evaluation. HYPOTHESIS This study aims to evaluate the association between CHA2 DS2 -VASc and PESI score and each of them with RV dysfunction on computed tomography pulmonary angiography (CTPA). METHODS One hundred eighteen patients with a definite diagnosis of PTE were entered. The CHA2 DS2 -VASc and PESI scores were calculated for all of them. RV dysfunction including an increase in RV to left ventricular diameter ratio, interventricular septal bowing, and reflux of contrast medium into the inferior vena cava was examined by CTPA. RESULTS PESI and CHA2 DS2 -VASc scores were significantly associated with RV dysfunction. In addition, different classes of PESI scores were correlated with RV dysfunction. Moreover, this study showed that the CHA2 DS2 -VASc score and PESI score had a positive correlation. The area under the curve value for the CHA2 DS2 -VASc score was 0.625 with 61.54% sensitivity and 60.0% specificity for predicting RV dysfunction while for PESI score was 0.635 with 66.7% sensitivity and 60.0% specificity. CONCLUSION This study showed that not only CHA2 DS2 -VASc and PESI scores are positively correlated, but they are both associated with RV dysfunction diagnosed by CTPA. CHA2 DS2 -VASc and PESI scores are able to predict RV dysfunction.
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Affiliation(s)
- Toktam Alirezaei
- Clinical Research Development Unit, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Rana Irilouzadian
- Clinical Research Development Unit, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Haniyeh Golestani
- Clinical Research Development Unit, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Ibrahim H, El-Maadawy SM. Role of multidetector CT in predicting patient outcome in cases of pulmonary embolism: correlation between imaging findings, ICU admissions and mortality rate. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00593-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Pulmonary embolism (PE) is a critical medical condition that requires prompt diagnosis and treatment to avoid serious morbidity and mortality risk. Multidetector CT pulmonary angiography (CTPA) is considered the first-line imaging modality for suspected acute PE. The presence of right heart strain, which supports the diagnosis, requires special attention. The aim of our retrospective study is to assess the reliability of CTPA hemodynamic indices in predicting patients’ outcome in cases of PE.
Results
Sixty patients were included in our study. CTPA parameters including main pulmonary artery (MPA) diameter, left ventricle (LV) diameter, right ventricle (RV)/LV ratio, and septal deviation had a clinical prognostic value for short-term 30-day mortality and ICU admission. Statistically significant relationship between MPA diameter > 29 mm, LV diameter, RV/LV ratio > 1, left-sided septal deviation and contrast reflux into the IVC/distal hepatic veins with ICU admission was observed with p values 0.031, 0.000, 0.000, 0.005 and 0.028 respectively. There was a statistically significant correlation between MPA diameter > 29 mm, LV diameter, RV/LV > 1 ratio and septal deviation with 30-day mortality with p values of < 0.001, 0.001, < 0.001 and 0.015 respectively. No significant correlation was found between 30-day mortality and contrast reflux to IVC with p value of 0.070.
Conclusions
CTPA measurements including MPA diameter, RV/LV ratio and septal deviation were found to be significantly correlated to ICU admission and 30-day mortality as predictors for PE severity. CT contrast reflux was found to be correlated to ICU admission; however, it was not significantly correlated to 30-day mortality.
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Chaosuwannakit N, Soontrapa W, Makarawate P, Sawanyawisuth K. Importance of computed tomography pulmonary angiography for predict 30-day mortality in acute pulmonary embolism patients. Eur J Radiol Open 2021; 8:100340. [PMID: 33855129 PMCID: PMC8027691 DOI: 10.1016/j.ejro.2021.100340] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/16/2021] [Accepted: 03/17/2021] [Indexed: 12/03/2022] Open
Abstract
The study provides a cut-off value of RV diameter and CT obstruction index by CTPA to predict acute PE patients' mortality. RV diameter of 53 mm or over and CT obstruction index >70 % is associated with increased 30-day mortality in APE patients. Increased RV diameter by CTPA is a better predictor of mortality than the clinical Pulmonary Embolism Severity Index (PESI). CTPA can be valuable as both the diagnostic and prognostic tool in APE patients.
Objective The purpose of the present study was to assess the implications of different parameters of computed tomography pulmonary angiography (CTPA) to predict 30-day mortality in acute pulmonary embolism (APE) patients. Material and Method Patients who had clinical suspicion of APE and underwent CTPA were recruited in a retrospective cohort study. The findings of the CTPA included the parameters of right ventricular dysfunction (RVD), the severity of obstruction to the pulmonary artery by CT obstruction index, and the ratio of pulmonary trunk diameter and aorta. The endpoint of the study was established as the 30-day mortality associated with APE. Results A total of 238 patients with a confirmed APE diagnosis with CTPA were included in the study; 26 (10.9 %) of those patients died within 30 days. In patients with cancer and the Pulmonary Embolism Severity Index (PESI) class 5, the mortality rate was significantly higher. Compared with survivors, the mean CT obstruction index in the non-survivor group was significantly higher (p < 0.001). Higher mortality was associated with all RVD parameters identified by CTPA, such as the RV/LV ratio (p < 0.001), interventricular septum deviation grade 3 (p < 0.001), increased RV diameter (p < 0.001), and IVC contrast reflux (p < 0.001). The highest adjusted odds ratio was RV diameter at 1.094, followed by PESI and the CT obstruction index at 1.040. Conclusion CTPA-detected RVD parameters and CT obstruction index can predict a 30-day mortality rate in APE patients and be used for risk stratification. In APE patients, the RV diameter of 53 mm or greater and the CT obstruction index >70% is associated with increased 30-day mortality.
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Affiliation(s)
| | - Wannaporn Soontrapa
- Radiology Department, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Pattarapong Makarawate
- Internal Medicine Department, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Kittisak Sawanyawisuth
- Internal Medicine Department, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
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