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Lee PK, Zhou X, Wang N, Syed AB, Brunsing RL, Vasanawala SS, Hargreaves BA. Distortionless, free-breathing, and respiratory resolved 3D diffusion weighted imaging of the abdomen. Magn Reson Med 2024. [PMID: 38688875 DOI: 10.1002/mrm.30067] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 02/09/2024] [Accepted: 02/09/2024] [Indexed: 05/02/2024]
Abstract
PURPOSE Abdominal imaging is frequently performed with breath holds or respiratory triggering to reduce the effects of respiratory motion. Diffusion weighted sequences provide a useful clinical contrast but have prolonged scan times due to low signal-to-noise ratio (SNR), and cannot be completed in a single breath hold. Echo-planar imaging (EPI) is the most commonly used trajectory for diffusion weighted imaging but it is susceptible to off-resonance artifacts. A respiratory resolved, three-dimensional (3D) diffusion prepared sequence that obtains distortionless diffusion weighted images during free-breathing is presented. Techniques to address the myriad of challenges including: 3D shot-to-shot phase correction, respiratory binning, diffusion encoding during free-breathing, and robustness to off-resonance are described. METHODS A twice-refocused, M1-nulled diffusion preparation was combined with an RF-spoiled gradient echo readout and respiratory resolved reconstruction to obtain free-breathing diffusion weighted images in the abdomen. Cartesian sampling permits a sampling density that enables 3D shot-to-shot phase navigation and reduction of transient fat artifacts. Theoretical properties of a region-based shot rejection are described. The region-based shot rejection method was evaluated with free-breathing (normal and exaggerated breathing), and respiratory triggering. The proposed sequence was compared in vivo with multishot DW-EPI. RESULTS The proposed sequence exhibits no evident distortion in vivo when compared to multishot DW-EPI, robustness to B0 and B1 field inhomogeneities, and robustness to motion from different respiratory patterns. CONCLUSION Acquisition of distortionless, diffusion weighted images is feasible during free-breathing with a b-value of 500 s/mm2, scan time of 6 min, and a clinically viable reconstruction time.
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Affiliation(s)
- Philip K Lee
- Radiology, Stanford University, Stanford, California, USA
| | - Xuetong Zhou
- Radiology, Stanford University, Stanford, California, USA
- Bioengineering, Stanford University, Stanford, California, USA
| | - Nan Wang
- Radiology, Stanford University, Stanford, California, USA
| | - Ali B Syed
- Radiology, Stanford University, Stanford, California, USA
| | | | | | - Brian A Hargreaves
- Radiology, Stanford University, Stanford, California, USA
- Bioengineering, Stanford University, Stanford, California, USA
- Electrical Engineering, Stanford University, Stanford, California, USA
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Serai SD, Franchi-Abella S, Syed AB, Tkach JA, Toso S, Ferraioli G. MR and Ultrasound Elastography for Fibrosis Assessment in Children: Practical Implementation and Supporting Evidence- AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2024. [PMID: 38170833 DOI: 10.2214/ajr.23.30506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Quantitative MRI and ultrasound biomarkers of liver fibrosis have become important tools in the diagnosis and clinical management of children with chronic liver disease (CLD). In particular, MR elastography (MRE) is now routinely performed in clinical practice to evaluate the liver for fibrosis. Ultrasound shear-wave elastography has also become widely performed for this purpose, especially in young children. These noninvasive methods are increasingly used to replace liver biopsy for the diagnosis, quantitative staging, and treatment monitoring of patients with CLD. Although ultrasound has advantages of portability and lower equipment cost, available evidence indicates that MRI may have greater reliability and accuracy in liver fibrosis evaluation. In this AJR Expert Panel Narrative Review, we describe how, why, and when to use MRI- and ultrasound-based elastography methods for liver fibrosis assessment in children. Practical approaches are discussed for adapting and optimizing these methods in children, with consideration of clinical indications, patient preparation, equipment requirements, acquisition technique, as well as pitfalls and confounding factors. Guidance is provided for interpretation and reporting, and representative case examples are presented.
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Affiliation(s)
- Suraj D Serai
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia PA
| | - Stéphanie Franchi-Abella
- Université Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France
- AP-HP, Centre de Référence des maladies rares du foie de l'enfant, Service de radiologie pédiatrique diagnostique et interventionnelle, Hôpital Bicêtre, Le Kremlin-Bicêtre, France
- BIOMAPS UMR 9011 CNRS, Inserm, CEA, Orsay, France
| | - Ali B Syed
- Department of Radiology, Stanford University School of Medicine, Stanford, CA
| | - Jean A Tkach
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Seema Toso
- Department of Pediatric Radiology, University Children's Hospital Geneva, 6 rue Willy Donzé, CH 1211, Genéve 14, Suisse
| | - Giovanna Ferraioli
- Dipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, Medical School University of Pavia, Pavia 27100, Italy
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Chandrasekar H, Kaufman BD, Beattie MJ, Ennis DB, Syed AB, Zucker EJ, Maskatia SA. Abbreviated cardiac magnetic resonance imaging versus echocardiography for interval assessment of systolic function in Duchenne muscular dystrophy: patient satisfaction, clinical utility, and image quality. Int J Cardiovasc Imaging 2024; 40:157-165. [PMID: 37831292 DOI: 10.1007/s10554-023-02977-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 09/26/2023] [Indexed: 10/14/2023]
Abstract
PURPOSE Poor acoustic windows make interval assessment of systolic function in patients with (Duchenne Muscular Dystrophy) DMD by echocardiography (echo) difficult. Cardiac magnetic resonance imaging (CMR) can be challenging in DMD patients due to study duration and patient discomfort. We developed an abbreviated CMR (aCMR) protocol and hypothesized that aCMR would compare favorably to echo in image quality and clinical utility without significant differences in exam duration, patient satisfaction, and functional measurements. METHODS DMD patients were recruited prospectively to undergo echo and aCMR. Modalities were compared with a global quality assessment score (GQAS), clinical utility score (CUS), and patient satisfaction score (PSS). Results were compared using Wilcoxon signed-rank tests, Spearman correlations, intraclass correlations, and Bland-Altman analyses. RESULTS Nineteen DMD patients were included. PSS scores and exam duration were equivalent between modalities, while CUS and GQAS scores favored aCMR. ACMR scored markedly higher than echo in RV visualization and assessment of atrial size. Older age was negatively correlated with echo GQAS and CUS scores, as well as aCMR PSS scores. Higher BMI was positively correlated with aCMR GQAS scores. Nighttime PPV requirement and non-ambulatory status were correlated with worse echo CUS scores. Poor image quality precluding quantification existed in five (26%) echo and zero (0%) aCMR studies. There was moderate correlation between aCMR and echo for global circumferential strain and left ventricular four chamber global longitudinal strain. CONCLUSION The aCMR protocol resulted in improved clinical relevance and quality scores relative to echo, without significant detriment to patient satisfaction or exam duration.
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Affiliation(s)
- Hamsika Chandrasekar
- Department of Pediatrics, Division of Pediatric Cardiology, Stanford University School of Medicine, Palo Alto, CA, USA.
| | - Beth D Kaufman
- Department of Pediatrics, Division of Pediatric Cardiology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Meaghan J Beattie
- Department of Pediatrics, Division of Pediatric Cardiology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Daniel B Ennis
- Department of Radiology, Division of Pediatric Radiology and Cardiovascular Imaging, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Ali B Syed
- Department of Radiology, Division of Pediatric Radiology and Cardiovascular Imaging, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Evan J Zucker
- Department of Radiology, Division of Pediatric Radiology and Cardiovascular Imaging, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Shiraz A Maskatia
- Department of Pediatrics, Division of Pediatric Cardiology, Stanford University School of Medicine, Palo Alto, CA, USA
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Jayapal P, Alharthi O, Young V, Obi C, Syed AB, Sandberg JK. Magnetic resonance neurography techniques in the pediatric population. Pediatr Radiol 2023; 53:2167-2179. [PMID: 37710037 DOI: 10.1007/s00247-023-05759-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 08/11/2023] [Accepted: 08/25/2023] [Indexed: 09/16/2023]
Abstract
The use of magnetic resonance imaging (MRI) in the evaluation of the central extracranial nervous system, namely the brachial and lumbosacral plexuses, is well established and has been performed for many years. Only recently after numerous advances in MRI, has image quality been sufficient to properly visualize small structures, such as nerves in the extremities. Despite the advances, peripheral MR Neurography remains a complex and difficult examination to perform, especially in the pediatric patient population, in which the risk for motion artifact and compliance is always of concern. Thus, technical aspects of the MR imaging protocol must be flexible but robust, to balance image quality with scan time, in a patient population of varying sizes. An additional important step for reliably performing a successful MR Neurography examination is the non-technical pre-imaging preparation, which includes patient/family education and open communication with referring teams. This paper will discuss in detail the individual technical and non-technical/operational aspects of peripheral MR Neurography, to help guide in building a successful program in the pediatric population.
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Affiliation(s)
- Praveen Jayapal
- Department of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, 94304, USA
| | - Omar Alharthi
- Department of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, 94304, USA
| | - Victoria Young
- Department of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, 94304, USA
| | - Chrystal Obi
- Department of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, 94304, USA
| | - Ali B Syed
- Department of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, 94304, USA
| | - Jesse K Sandberg
- Department of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, 94304, USA.
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Morin CE, Kolbe AB, Alazraki A, Chavhan GB, Gill A, Infante J, Khanna G, Nguyen HN, O'Neill AF, Rees MA, Sharma A, Squires JE, Squires JH, Syed AB, Tang ER, Towbin AJ, Schooler GR. Cancer Therapy-related Hepatic Injury in Children: Imaging Review from the Pediatric LI-RADS Working Group. Radiographics 2023; 43:e230007. [PMID: 37616168 DOI: 10.1148/rg.230007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
The liver is the primary organ for the metabolism of many chemotherapeutic agents. Treatment-induced liver injury is common in children undergoing cancer therapy. Hepatic injury occurs due to various mechanisms, including biochemical cytotoxicity, hepatic vascular injury, radiation-induced cytotoxicity, and direct hepatic injury through minimally invasive and invasive surgical treatments. Treatment-induced liver injury can be seen contemporaneous with therapy and months to years after therapy is complete. Patients can develop a combination of hepatic injuries manifesting during and after treatment. Acute toxic effects of cancer therapy in children include hepatitis, steatosis, steatohepatitis, cholestasis, hemosiderosis, and vascular injury. Longer-term effects of cancer therapy include hepatic fibrosis, chronic liver failure, and development of focal liver lesions. Quantitative imaging techniques can provide useful metrics for disease diagnosis and monitoring, especially in treatment-related diffuse liver injury such as hepatic steatosis and steatohepatitis, hepatic iron deposition, and hepatic fibrosis. Focal liver lesions, including those developing as a result of treatment-related vascular injury such as focal nodular hyperplasia-like lesions and hepatic perfusion anomalies, as well as hepatic infections occurring as a consequence of immune suppression, can be anxiety provoking and confused with recurrent malignancy or hepatic metastases, although there often are imaging features that help elucidate the correct diagnosis. Radiologic evaluation, in conjunction with clinical and biochemical screening, is integral to diagnosing and monitoring hepatic complications of cancer therapy in pediatric patients during therapy and after therapy completion for long-term surveillance. ©RSNA, 2023 Quiz questions for this article are available in the supplemental material See the invited commentary by Ferraciolli and Gee in this issue.
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Affiliation(s)
- Cara E Morin
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Amy B Kolbe
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Adina Alazraki
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Govind B Chavhan
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Annie Gill
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Juan Infante
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Geetika Khanna
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - HaiThuy N Nguyen
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Allison F O'Neill
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Mitchell A Rees
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Akshay Sharma
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - James E Squires
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Judy H Squires
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Ali B Syed
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Elizabeth R Tang
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Alexander J Towbin
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
| | - Gary R Schooler
- From the Department of Radiology, Cincinnati Children's Hospital and University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229 (C.E.M., A.J.T.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.B.K.); Department of Radiology and Imaging Sciences, Emory University and Children's Healthcare of Atlanta, Atlanta, Ga (A.A., A.G., G.K.); Diagnostic Imaging Department, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada (G.B.C.); Department of Radiology, Nicklaus Children's Hospital, Miami, Fla (J.I.); Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (H.N.N.); Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Mass (A.F.O.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (M.A.R.); Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, Tenn (A.S.); Division of Gastroenterology, Hepatology, and Nutrition (J.E.S.) and Department of Radiology (J.H.S.), UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa; Department of Radiology, Stanford University, Stanford, Calif (A.B.S.); Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colo (E.R.T.); and Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (G.R.S.)
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Bissell MM, Raimondi F, Ait Ali L, Allen BD, Barker AJ, Bolger A, Burris N, Carhäll CJ, Collins JD, Ebbers T, Francois CJ, Frydrychowicz A, Garg P, Geiger J, Ha H, Hennemuth A, Hope MD, Hsiao A, Johnson K, Kozerke S, Ma LE, Markl M, Martins D, Messina M, Oechtering TH, van Ooij P, Rigsby C, Rodriguez-Palomares J, Roest AAW, Roldán-Alzate A, Schnell S, Sotelo J, Stuber M, Syed AB, Töger J, van der Geest R, Westenberg J, Zhong L, Zhong Y, Wieben O, Dyverfeldt P. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. J Cardiovasc Magn Reson 2023; 25:40. [PMID: 37474977 PMCID: PMC10357639 DOI: 10.1186/s12968-023-00942-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/30/2023] [Indexed: 07/22/2023] Open
Abstract
Hemodynamic assessment is an integral part of the diagnosis and management of cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging (4D Flow CMR) allows comprehensive and accurate assessment of flow in a single acquisition. This consensus paper is an update from the 2015 '4D Flow CMR Consensus Statement'. We elaborate on 4D Flow CMR sequence options and imaging considerations. The document aims to assist centers starting out with 4D Flow CMR of the heart and great vessels with advice on acquisition parameters, post-processing workflows and integration into clinical practice. Furthermore, we define minimum quality assurance and validation standards for clinical centers. We also address the challenges faced in quality assurance and validation in the research setting. We also include a checklist for recommended publication standards, specifically for 4D Flow CMR. Finally, we discuss the current limitations and the future of 4D Flow CMR. This updated consensus paper will further facilitate widespread adoption of 4D Flow CMR in the clinical workflow across the globe and aid consistently high-quality publication standards.
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Affiliation(s)
- Malenka M Bissell
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), LIGHT Laboratories, Clarendon Way, University of Leeds, Leeds, LS2 9NL, UK.
| | | | - Lamia Ait Ali
- Institute of Clinical Physiology CNR, Massa, Italy
- Foundation CNR Tuscany Region G. Monasterio, Massa, Italy
| | - Bradley D Allen
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alex J Barker
- Department of Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Center, Aurora, USA
| | - Ann Bolger
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Nicholas Burris
- Department of Radiology, University of Michigan, Ann Arbor, USA
| | - Carl-Johan Carhäll
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Tino Ebbers
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Alex Frydrychowicz
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Hojin Ha
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, South Korea
| | - Anja Hennemuth
- Institute of Computer-Assisted Cardiovascular Medicine, Charité - Universitätsmedizin, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site, Berlin, Germany
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Albert Hsiao
- Department of Radiology, University of California, San Diego, CA, USA
| | - Kevin Johnson
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Liliana E Ma
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Michael Markl
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Duarte Martins
- Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Marci Messina
- Department of Radiology, Northwestern Medicine, Chicago, IL, USA
| | - Thekla H Oechtering
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Pim van Ooij
- Department of Radiology & Nuclear Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Movement Sciences, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cynthia Rigsby
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Imaging, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Jose Rodriguez-Palomares
- Department of Cardiology, Hospital Universitari Vall d´Hebron,Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red-CV, CIBER CV, Madrid, Spain
| | - Arno A W Roest
- Department of Pediatric Cardiology, Willem-Alexander's Children Hospital, Leiden University Medical Center and Center for Congenital Heart Defects Amsterdam-Leiden, Leiden, The Netherlands
| | | | - Susanne Schnell
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Physics, Institute of Physics, University of Greifswald, Greifswald, Germany
| | - Julio Sotelo
- School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile
- Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Santiago, Chile
| | - Matthias Stuber
- Département de Radiologie Médicale, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Ali B Syed
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Johannes Töger
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Rob van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jos Westenberg
- CardioVascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Liang Zhong
- National Heart Centre Singapore, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Yumin Zhong
- Department of Radiology, School of Medicine, Shanghai Children's Medical Center Affiliated With Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Oliver Wieben
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Petter Dyverfeldt
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
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Sundaram KM, Rosenberg J, Syed AB, Chang ST, Loening AM. Assessment of T2-weighted Image Quality at Prostate MRI in Patients with and Those without Intramuscular Injection of Glucagon. Radiol Imaging Cancer 2023; 5:e220070. [PMID: 37171269 DOI: 10.1148/rycan.220070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Purpose To assess whether administration of intramuscular (IM) glucagon improves T2-weighted image quality at multiparametric MRI (mpMRI) of the prostate. Materials and Methods In this Health Insurance Portability and Accountability Act-compliant single-center study, the authors retrospectively analyzed radiology reports from 3960 mpMRI examinations (2495 after exclusions) performed between September 2013 and September 2019 and performed outcome comparisons and semiquantitative image assessment of axial T2-weighted images from 120 consecutive mpMRI examinations performed between May 2015 and February 2016. Three experienced radiologists blinded to administration of IM glucagon assessed images using a five-point Likert scale (5 = no motion or blur) for overall image quality, anatomic delineation (prostate capsule, rectum, and lymph nodes), and identification of benign prostatic hyperplasia nodules. Wilcoxon rank sum and χ2 tests were used to assess quantitative parameters. Results The number of mpMRI radiology reports (599 examinations performed with glucagon; 1896, without glucagon) mentioning blur or motion were similar between groups (P = .82). Regression analysis of semiquantitative image quality assessments of T2-weighted images from mpMRI examinations (60 performed with glucagon; 60, without glucagon) demonstrated that images with glucagon were more likely to receive higher scores (4 or 5 rating) than those without glucagon only when the rectum (P = .001) and lymph nodes (P = .01) were evaluated, not when the prostatic capsule, benign prostatic hyperplasia nodules, or overall image quality was evaluated. No evidence of differences was found in identified Prostate Imaging Reporting and Data System (PI-RADS) lesions or targeted-biopsy Gleason scores. Conclusion Administration of IM glucagon did not improve T2-weighted image quality in prostate MRI examinations and showed similar PI-RADS scores and biopsy yields compared with examinations without glucagon. Keywords: MRI, Genital/Reproductive, Urinary, Prostate, Oncology, Observer Performance © RSNA, 2023 Online supplemental material is available for this article. See also commentary by Eberhardt in this issue.
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Affiliation(s)
- Karthik M Sundaram
- From the Department of Radiology, Perelman School of Medicine, The University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-4283 (K.M.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (K.M.S., J.R., A.B.S., S.T.C., A.M.L.); and Department of Radiology, Veterans Affairs Palo Alto Healthcare System, Palo Alto, Calif (S.T.C.)
| | - Jarrett Rosenberg
- From the Department of Radiology, Perelman School of Medicine, The University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-4283 (K.M.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (K.M.S., J.R., A.B.S., S.T.C., A.M.L.); and Department of Radiology, Veterans Affairs Palo Alto Healthcare System, Palo Alto, Calif (S.T.C.)
| | - Ali B Syed
- From the Department of Radiology, Perelman School of Medicine, The University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-4283 (K.M.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (K.M.S., J.R., A.B.S., S.T.C., A.M.L.); and Department of Radiology, Veterans Affairs Palo Alto Healthcare System, Palo Alto, Calif (S.T.C.)
| | - Stephanie T Chang
- From the Department of Radiology, Perelman School of Medicine, The University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-4283 (K.M.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (K.M.S., J.R., A.B.S., S.T.C., A.M.L.); and Department of Radiology, Veterans Affairs Palo Alto Healthcare System, Palo Alto, Calif (S.T.C.)
| | - Andreas M Loening
- From the Department of Radiology, Perelman School of Medicine, The University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-4283 (K.M.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (K.M.S., J.R., A.B.S., S.T.C., A.M.L.); and Department of Radiology, Veterans Affairs Palo Alto Healthcare System, Palo Alto, Calif (S.T.C.)
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Li Z, Mathew M, Syed AB, Feng L, Brunsing R, Pauly JM, Vasanawala SS. Rapid fat-water separated T 1 mapping using a single-shot radial inversion-recovery spoiled gradient recalled pulse sequence. NMR Biomed 2022; 35:e4803. [PMID: 35891586 DOI: 10.1002/nbm.4803] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 07/21/2022] [Accepted: 07/23/2022] [Indexed: 05/04/2023]
Abstract
T1 mapping is increasingly used in clinical practice and research studies. With limited scan time, existing techniques often have limited spatial resolution, contrast resolution and slice coverage. High fat concentrations yield complex errors in Look-Locker T1 methods. In this study, a dual-echo 2D radial inversion-recovery T1 (DEradIR-T1) technique was developed for fast fat-water separated T1 mapping. The DEradIR-T1 technique was tested in phantoms, 5 volunteers and 28 patients using a 3 T clinical MRI scanner. In our study, simulations were performed to analyze the composite (fat + water) and water-only T1 under different echo times (TE). In standardized phantoms, an inversion-recovery spin echo (IR-SE) sequence with and without fat saturation pulses served as a T1 reference. Parameter mapping with DEradIR-T1 was also assessed in vivo, and values were compared with modified Look-Locker inversion recovery (MOLLI). Bland-Altman analysis and two-tailed paired t-tests were used to compare the parameter maps from DEradIR-T1 with the references. Simulations of the composite and water-only T1 under different TE values and levels of fat matched the in vivo studies. T1 maps from DEradIR-T1 on a NIST phantom (Pcomp = 0.97) and a Calimetrix fat-water phantom (Pwater = 0.56) matched with the references. In vivo T1 was compared with that of MOLLI: R comp 2 = 0.77 ; R water 2 = 0.72 . In this work, intravoxel fat is found to have a variable, echo-time-dependent effect on measured T1 values, and this effect may be mitigated using the proposed DRradIR-T1.
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Affiliation(s)
- Zhitao Li
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Manoj Mathew
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Ali B Syed
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Li Feng
- Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ryan Brunsing
- Department of Radiology, Stanford University, Stanford, California, USA
| | - John M Pauly
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
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9
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Oscanoa JA, Middione MJ, Syed AB, Sandino CM, Vasanawala SS, Ennis DB. Accelerated two-dimensional phase-contrast for cardiovascular MRI using deep learning-based reconstruction with complex difference estimation. Magn Reson Med 2022; 89:356-369. [PMID: 36093915 DOI: 10.1002/mrm.29441] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/16/2022] [Accepted: 08/11/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE To develop and validate a deep learning-based reconstruction framework for highly accelerated two-dimensional (2D) phase contrast (PC-MRI) data with accurate and precise quantitative measurements. METHODS We propose a modified DL-ESPIRiT reconstruction framework for 2D PC-MRI, comprised of an unrolled neural network architecture with a Complex Difference estimation (CD-DL). CD-DL was trained on 155 fully sampled 2D PC-MRI pediatric clinical datasets. The fully sampled data ( n = 29 $$ n=29 $$ ) was retrospectively undersampled (6-11 × $$ \times $$ ) and reconstructed using CD-DL and a parallel imaging and compressed sensing method (PICS). Measurements of peak velocity and total flow were compared to determine the highest acceleration rate that provided accuracy and precision within ± 5 % $$ \pm 5\% $$ . Feasibility of CD-DL was demonstrated on prospectively undersampled datasets acquired in pediatric clinical patients ( n = 5 $$ n=5 $$ ) and compared to traditional parallel imaging (PI) and PICS. RESULTS The retrospective evaluation showed that 9 × $$ \times $$ accelerated 2D PC-MRI images reconstructed with CD-DL provided accuracy and precision (bias, [95 % $$ \% $$ confidence intervals]) within ± 5 % $$ \pm 5\% $$ . CD-DL showed higher accuracy and precision compared to PICS for measurements of peak velocity (2.8 % $$ \% $$ [ - 2 . 9 $$ -2.9 $$ , 4.5] vs. 3.9 % $$ \% $$ [ - 11 . 0 $$ -11.0 $$ , 4.9]) and total flow (1.8 % $$ \% $$ [ - 3 . 9 $$ -3.9 $$ , 3.4] vs. 2.9 % $$ \% $$ [ - 7 . 1 $$ -7.1 $$ , 6.9]). The prospective feasibility study showed that CD-DL provided higher accuracy and precision than PICS for measurements of peak velocity and total flow. CONCLUSION In a retrospective evaluation, CD-DL produced quantitative measurements of 2D PC-MRI peak velocity and total flow with ≤ 5 % $$ \le 5\% $$ error in both accuracy and precision for up to 9 × $$ \times $$ acceleration. Clinical feasibility was demonstrated using a prospective clinical deployment of our 8 × $$ \times $$ undersampled acquisition and CD-DL reconstruction in a cohort of pediatric patients.
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Affiliation(s)
- Julio A Oscanoa
- Department of Bioengineering, Stanford University, Stanford, California, USA.,Department of Radiology, Stanford University, Stanford, California, USA
| | | | - Ali B Syed
- Department of Radiology, Stanford University, Stanford, California, USA.,Cardiovascular Institute, Stanford University, Stanford, California, USA
| | - Christopher M Sandino
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | | | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, California, USA.,Cardiovascular Institute, Stanford University, Stanford, California, USA
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Lei K, Syed AB, Zhu X, Pauly JM, Vasanawala SS. Artifact- and content-specific quality assessment for MRI with image rulers. Med Image Anal 2022; 77:102344. [PMID: 35091278 PMCID: PMC8901552 DOI: 10.1016/j.media.2021.102344] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 12/22/2021] [Accepted: 12/27/2021] [Indexed: 11/27/2022]
Abstract
In clinical practice MR images are often first seen by radiologists long after the scan. If image quality is inadequate either patients have to return for an additional scan, or a suboptimal interpretation is rendered. An automatic image quality assessment (IQA) would enable real-time remediation. Existing IQA works for MRI give only a general quality score, agnostic to the cause of and solution to low-quality scans. Furthermore, radiologists' image quality requirements vary with the scan type and diagnostic task. Therefore, the same score may have different implications for different scans. We propose a framework with multi-task CNN model trained with calibrated labels and inferenced with image rulers. Labels calibrated by human inputs follow a well-defined and efficient labeling task. Image rulers address varying quality standards and provide a concrete way of interpreting raw scores from the CNN. The model supports assessments of two of the most common artifacts in MRI: noise and motion. It achieves accuracies of around 90%, 6% better than the best previous method examined, and 3% better than human experts on noise assessment. Our experiments show that label calibration, image rulers, and multi-task training improve the model's performance and generalizability.
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Kee Y, Sandino CM, Syed AB, Cheng JY, Shimakawa A, Colgan TJ, Hernando D, Vasanawala SS. Free-breathing R 2 ∗ mapping of hepatic iron overload in children using 3D multi-echo UTE cones MRI. Magn Reson Med 2021; 85:2608-2621. [PMID: 33432613 DOI: 10.1002/mrm.28610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 10/07/2020] [Accepted: 11/01/2020] [Indexed: 12/13/2022]
Abstract
PURPOSE To enable motion-robust, ungated, free-breathing R 2 ∗ mapping of hepatic iron overload in children with 3D multi-echo UTE cones MRI. METHODS A golden-ratio re-ordered 3D multi-echo UTE cones acquisition was developed with chemical-shift encoding (CSE). Multi-echo complex-valued source images were reconstructed via gridding and coil combination, followed by confounder-corrected R 2 ∗ (=1/ T 2 ∗ ) mapping. A phantom containing 15 different concentrations of gadolinium solution (0-300 mM) was imaged at 3T. 3D multi-echo UTE cones with an initial TE of 0.036 ms and Cartesian CSE-MRI (IDEAL-IQ) sequences were performed. With institutional review board approval, 85 subjects (81 pediatric patients with iron overload + 4 healthy volunteers) were imaged at 3T using 3D multi-echo UTE cones with free breathing (FB cones), IDEAL-IQ with breath holding (BH Cartesian), and free breathing (FB Cartesian). Overall image quality of R 2 ∗ maps was scored by 2 blinded experts and compared by a Wilcoxon rank-sum test. For each pediatric subject, the paired R 2 ∗ maps were assessed to determine if a corresponding artifact-free 15 mm region-of-interest (ROI) could be identified at a mid-liver level on both images. Agreement between resulting R 2 ∗ quantification from FB cones and BH/FB Cartesian was assessed with Bland-Altman and linear correlation analyses. RESULTS ROI-based regression analysis showed a linear relationship between gadolinium concentration and R 2 ∗ in IDEAL-IQ (y = 8.83x - 52.10, R2 = 0.995) as well as in cones (y = 9.19x - 64.16, R2 = 0.992). ROI-based Bland-Altman analysis showed that the mean difference (MD) was 0.15% and the SD was 5.78%. However, IDEAL-IQ R 2 ∗ measurements beyond 200 mM substantially deviated from a linear relationship for IDEAL-IQ (y = 5.85x + 127.61, R2 = 0.827), as opposed to cones (y = 10.87x - 166.96, R2 = 0.984). In vivo, FB cones R 2 ∗ had similar image quality with BH and FB Cartesian in 15 and 42 cases, respectively. FB cones R 2 ∗ had better image quality scores than BH and FB Cartesian in 3 and 21 cases, respectively, where BH/FB Cartesian exhibited severe ghosting artifacts. ROI-based Bland-Altman analyses were 2.23% (MD) and 6.59% (SD) between FB cones and BH Cartesian and were 0.21% (MD) and 7.02% (SD) between FB cones and FB Cartesian, suggesting a good agreement between FB cones and BH (FB) Cartesian R 2 ∗ . Strong linear relationships were observed between BH Cartesian and FB cones (y = 1.00x + 1.07, R2 = 0.996) and FB Cartesian and FB cones (y = 0.98x + 1.68, R2 = 0.999). CONCLUSION Golden-ratio re-ordered 3D multi-echo UTE Cones MRI enabled motion-robust, ungated, and free-breathing R 2 ∗ mapping of hepatic iron overload, with comparable R 2 ∗ measurements and image quality to BH Cartesian, and better image quality than FB Cartesian.
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Affiliation(s)
- Youngwook Kee
- Departments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA
| | - Christopher M Sandino
- Departments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA
| | - Ali B Syed
- Departments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA
| | - Joseph Y Cheng
- Departments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA
| | - Ann Shimakawa
- Global MR Applications and Workflow, GE Healthcare, Menlo Park, California, USA
| | - Timothy J Colgan
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, Madison, Wisconsin, USA
| | - Diego Hernando
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, Madison, Wisconsin, USA
| | - Shreyas S Vasanawala
- Departments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA
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Sandberg JK, Young VA, Syed AB, Yuan J, Hu Y, Sandino C, Menini A, Hargreaves B, Vasanawala S. Near-Silent and Distortion-Free Diffusion MRI in Pediatric Musculoskeletal Disorders: Comparison With Echo Planar Imaging Diffusion. J Magn Reson Imaging 2020; 53:504-513. [PMID: 32815203 DOI: 10.1002/jmri.27330] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 07/30/2020] [Accepted: 07/31/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Diffusion-weighted imaging (DWI) is common for evaluating pediatric musculoskeletal lesions, but suffers from geometric distortion and intense acoustic noise. PURPOSE To investigate the performance of a near-silent and distortion-free DWI sequence (DW-SD) relative to standard echo-planar DWI (DW-EPI) in pediatric extremity MRI. STUDY TYPE Prospective validation study. SUBJECTS Thirty-nine children referred for extremity MRI. FIELD STRENGTH/SEQUENCE DW-EPI and DW-SD, based on a rotating ultrafast sequence modified with sinusoidal diffusion preparation gradients, at 3T. ASSESSMENT DW-SD image quality (Sanat ) was assessed from 0 (nondiagnostic) to 5 (outstanding) and comparative image quality (Scomp ) (from -2 = DW-EPI more delineated to +2 = DW-SD more delineated, 0 = same). ADC measured by DW-SD and DW-EPI were compared in bone marrow, muscle, and lesions. STATISTICAL TESTS Wilcoxon rank-sum test and confidence interval of proportions (CIOP) were calculated for Scomp , Student's t-test, coefficient of variation (COV), and Bland-Altman analysis for ADC values, and intraclass correlation coefficient (ICC) for interreader agreement. RESULTS DW-SD and DW-EPI ADC values for bone marrow, muscle, and lesions were not significantly different (P = 0.3, P = 0.2, and P = 0.27, respectively) and had an overall ADC COV of 14.8% (95% confidence interval: 12.3%, 16.9%) and no significant proportional bias on Bland-Altman analysis. Sanat CIOP was rated diagnostic or better (score of 3, 4, or 5) in 72-98% of cases for bone marrow, muscle, and soft tissues. DW-SD was equivalent to or preferred over DW-EPI in muscles and soft tissues, with CIOP 86-93% and 93%, respectively. Lesions were equally visualized on DW-SD and DW-EPI in 40-51%, with DW-SD preferred in 44-56% of cases. DW-SD was rated significantly better than DW-EPI across all comparative variables that included bone marrow, muscle, soft tissue, cartilage, and lesions (P < 0.05). Readers had moderate to near-perfect (ICC range = 0.45-0.85). DATA CONCLUSION DW-SD of the extremities provided similar ADC values and improved image quality compared with conventional DW-EPI. Level of Evidence 2 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2021;53:504-513.
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Affiliation(s)
- Jesse K Sandberg
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Victoria A Young
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Ali B Syed
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Jianmin Yuan
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Yuxin Hu
- Department of Radiology, Stanford University, Stanford, California, USA.,Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Christopher Sandino
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Anne Menini
- Application Science Lab, GE Healthcare, Menlo Park, California, USA
| | - Brian Hargreaves
- Department of Radiology, Stanford University, Stanford, California, USA
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Bush AM, Sandino CM, Ramachandran S, Ong F, Dwork N, Zucker EJ, Syed AB, Pauly JM, Alley MT, Vasanawala SS. Rosette Trajectories Enable Ungated, Motion-Robust, Simultaneous Cardiac and Liver T 2 * Iron Assessment. J Magn Reson Imaging 2020; 52:1688-1698. [PMID: 32452088 DOI: 10.1002/jmri.27196] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 04/30/2020] [Accepted: 05/01/2020] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Quantitative T2 * MRI is the standard of care for the assessment of iron overload. However, patient motion corrupts T2 * estimates. PURPOSE To develop and evaluate a motion-robust, simultaneous cardiac and liver T2 * imaging approach using non-Cartesian, rosette sampling and a model-based reconstruction as compared to clinical-standard Cartesian MRI. STUDY TYPE Prospective. PHANTOM/POPULATION Six ferumoxytol-containing phantoms (26-288 μg/mL). Eight healthy subjects and 18 patients referred for clinically indicated iron overload assessment. FIELD STRENGTH/SEQUENCE 1.5T, 2D Cartesian and rosette gradient echo (GRE) ASSESSMENT: GRE T2 * values were validated in ferumoxytol phantoms. In healthy subjects, test-retest and spatial coefficient of variation (CoV) analysis was performed during three breathing conditions. Cartesian and rosette T2 * were compared using correlation and Bland-Altman analysis. Images were rated by three experienced radiologists on a 5-point scale. STATISTICAL TESTS Linear regression, analysis of variance (ANOVA), and paired Student's t-testing were used to compare reproducibility and variability metrics in Cartesian and rosette scans. The Wilcoxon rank test was used to assess reader score comparisons and reader reliability was measured using intraclass correlation analysis. RESULTS Rosette R2* (1/T2 *) was linearly correlated with ferumoxytol concentration (r2 = 1.00) and not significantly different than Cartesian values (P = 0.16). During breath-holding, ungated rosette liver and heart T2 * had lower spatial CoV (liver: 18.4 ± 9.3% Cartesian, 8.8% ± 3.4% rosette, P = 0.02, heart: 37.7% ± 14.3% Cartesian, 13.4% ± 1.7% rosette, P = 0.001) and higher-quality scores (liver: 3.3 [3.0-3.6] Cartesian, 4.7 [4.1-4.9] rosette, P = 0.005, heart: 3.0 [2.3-3] Cartesian, 4.5 [3.8-5.0] rosette, P = 0.005) compared to Cartesian values. During free-breathing and failed breath-holding, Cartesian images had very poor to average image quality with significant artifacts, whereas rosette remained very good, with minimal artifacts (P = 0.001). DATA CONCLUSION Rosette k-sampling with a model-based reconstruction offers a clinically useful motion-robust T2 * mapping approach for iron quantification. J. MAGN. RESON. IMAGING 2020;52:1688-1698.
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Affiliation(s)
- Adam M Bush
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Christopher M Sandino
- Department of Electrical Engineering, Stanford University, Palo Alto, California, USA
| | - Shreya Ramachandran
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, California, USA
| | - Frank Ong
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Nicholas Dwork
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Evan J Zucker
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Ali B Syed
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - John M Pauly
- Department of Electrical Engineering, Stanford University, Palo Alto, California, USA
| | - Marcus T Alley
- Department of Radiology, Stanford University, Palo Alto, California, USA
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Ma JJ, Nakarmi U, Kin CYS, Sandino CM, Cheng JY, Syed AB, Wei P, Pauly JM, Vasanawala SS. DIAGNOSTIC IMAGE QUALITY ASSESSMENT AND CLASSIFICATION IN MEDICAL IMAGING: OPPORTUNITIES AND CHALLENGES. Proc IEEE Int Symp Biomed Imaging 2020; 2020:337-340. [PMID: 33274013 PMCID: PMC7710391 DOI: 10.1109/isbi45749.2020.9098735] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Magnetic Resonance Imaging (MRI) suffers from several artifacts, the most common of which are motion artifacts. These artifacts often yield images that are of non-diagnostic quality. To detect such artifacts, images are prospectively evaluated by experts for their diagnostic quality, which necessitates patient-revisits and rescans whenever non-diagnostic quality scans are encountered. This motivates the need to develop an automated framework capable of accessing medical image quality and detecting diagnostic and non-diagnostic images. In this paper, we explore several convolutional neural network-based frameworks for medical image quality assessment and investigate several challenges therein.
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Affiliation(s)
- Jeffrey J Ma
- Department of Computing and Mathematical Sciences, California Institute of Technology
- Department of Radiology, Stanford University
| | | | | | | | | | - Ali B Syed
- Department of Radiology, Stanford University
| | - Peter Wei
- Department of Radiology, Stanford University
| | - John M Pauly
- Department of Electrical Engineering, Stanford University
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Abstract
Artificial intelligence (AI) has been heralded as the next big wave in the computing revolution and touted as a transformative technology for many industries including health care. In radiology, considerable excitement and anxiety are associated with the promise of AI and its potential to disrupt the practice of the radiologist. Radiology has often served as the gateway for medical technological advancements, and AI will likely be no different. We present a brief overview of AI advancements that have driven recent interest, offer a review of the current literature, and examine the most likely ways that AI will change radiology in the coming years.
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Affiliation(s)
- Ali B Syed
- Divison of Musculoskeletal Imaging and Intervention, Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Adam C Zoga
- Divison of Musculoskeletal Imaging and Intervention, Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania
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Ali MN, Ali MNA, Syed A, Syed AB, Bhandari S, Bhandari SC. Case series: hemolytic uremic syndrome--another cause of transplant dysfunction. Transplant Proc 2014; 45:3284-8. [PMID: 24182801 DOI: 10.1016/j.transproceed.2013.07.060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2013] [Revised: 07/14/2013] [Accepted: 07/17/2013] [Indexed: 11/30/2022]
Abstract
BACKGROUND Renal transplantation is the optimal treatment for suitable patients with end-stage renal disease (ESRD). However, acute graft dysfunction occurs in 5%-35% of patients. This is commonly due to acute rejection, drug toxicity, ureteric obstruction, or infection. Atypical hemolytic uremic syndrome (aHUS), either recurrent or de novo, is uncommon after transplantation. CASES We highlight three cases of acute transplant dysfunction in which transplant biopsy revealed HUS without associated clinical or hematologic clues to the etiology. Two cases had recurrent HUS and 1 had de novo HUS secondary to tacrolimus therapy. Screenings for ADAMTS-13 and gene mutations of complement regulatory proteins were negative. Thrombocytopenia and red blood cell fragments on blood film appeared some days later. TREATMENT Treatment comprised a combination of plasma exchange with fresh-frozen plasma and switching immunosuppressive therapy, which led to the recovery of the above hematologic features but salvaged graft function in only 1 case. CONCLUSIONS Classical hematologic findings of HUS appeared late in these cases. HUS should be considered in cases of allograft dysfunction where there is no obvious cause, and biopsy should be performed. This enables early initiation of therapy to gain rapid recovery of hematologic parameters and potentially of transplant function.
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Affiliation(s)
| | - M N A Ali
- Department of Renal Medicine, Hull and East Yorkshire Hospitals, NHS Trust, and Hull and York Medical School, Hull, East Yorkshire, United Kingdom
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Affiliation(s)
- Sayed Ali
- Department of Radiology, Temple University Hospital, 3401 North Broad Street, Philadelphia, PA, 19140, USA,
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Ali S, Fedenko A, Syed AB, Matcuk G, Patel D, Gottsegen C, White E. Bilateral primary xanthoma of the humeri with pathologic fractures: A case report. World J Radiol 2013; 5:345-348. [PMID: 24198913 PMCID: PMC3817293 DOI: 10.4329/wjr.v5.i9.345] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2013] [Revised: 08/09/2013] [Accepted: 08/29/2013] [Indexed: 02/06/2023] Open
Abstract
Xanthomas are rare bone tumors that occur more often in the appendicular skeleton and typically appear radiographically benign, with a narrow zone of transition and a sclerotic rim. We report the case of a 57-year-old woman with hyperlipidemia presenting with bilateral shoulder pain after minor trauma. Radiographic and histopathologic investigation demonstrated intraosseous xanthoma with atypical features, including multifocality, a wide zone of transition and pathologic fractures-characteristics more commonly associated with aggressive lesions such as multiple myeloma or metastasis. The diagnosis, imaging, and histological appearance of xanthoma of bone are reviewed.
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Affiliation(s)
- R A Armstrong
- Department of Vision Sciences, Aston University, Birmingham, UK
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