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Beutler BD, Fan Z, Lerner A, Cua R, Zheng S, Rajagopalan P, Phung DC, Shiroishi MS, Sheikh-Bahaei N, Antwi-Amoabeng D, Assadsangabi R. Pearls and Pitfalls of T1-Weighted Neuroimaging: A Primer for the Clinical Radiologist. Acad Radiol 2025; 32:2940-2952. [PMID: 39572296 DOI: 10.1016/j.acra.2024.10.048] [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: 09/28/2024] [Revised: 10/24/2024] [Accepted: 10/28/2024] [Indexed: 04/23/2025]
Abstract
All T1-weighted images are built upon one of two fundamental pulse sequences, spin-echo and gradient echo, each of which has distinct signal characteristics and clinical applications. Moreover, within each broadly defined category of T1-weighting, acquisition parameters can be modified to affect image quality, contrast, and scan duration; each tailored sequence has unique advantages, drawbacks, clinical indications, and potential artifacts. In this review, we describe key features that distinguish different types of T1-weighted sequences and discuss the utility of each sequence for specific clinical settings, including neuro-oncology, vasculopathy, and pediatric neuroradiology. In addition, we provide case examples from our institution that illustrate common artifacts and pitfalls associated with image interpretation. The findings described herein provide a framework to individualize the imaging protocol based on patient presentation and clinical indication.
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Affiliation(s)
- Bryce D Beutler
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA (B.D.B., Z.F., R.C., N.S.B.).
| | - Zhaoyang Fan
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA (B.D.B., Z.F., R.C., N.S.B.)
| | - Alexander Lerner
- Department of Radiology, Los Angeles General Medical Center, Los Angeles, California, USA (A.L., S.Z., P.R., D.C.P., M.S.S., R.A.)
| | - Ruskin Cua
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA (B.D.B., Z.F., R.C., N.S.B.)
| | - Sam Zheng
- Department of Radiology, Los Angeles General Medical Center, Los Angeles, California, USA (A.L., S.Z., P.R., D.C.P., M.S.S., R.A.)
| | - Priya Rajagopalan
- Department of Radiology, Los Angeles General Medical Center, Los Angeles, California, USA (A.L., S.Z., P.R., D.C.P., M.S.S., R.A.)
| | - Daniel C Phung
- Department of Radiology, Los Angeles General Medical Center, Los Angeles, California, USA (A.L., S.Z., P.R., D.C.P., M.S.S., R.A.)
| | - Mark S Shiroishi
- Department of Radiology, Los Angeles General Medical Center, Los Angeles, California, USA (A.L., S.Z., P.R., D.C.P., M.S.S., R.A.)
| | - Nasim Sheikh-Bahaei
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA (B.D.B., Z.F., R.C., N.S.B.)
| | | | - Reza Assadsangabi
- Department of Radiology, Los Angeles General Medical Center, Los Angeles, California, USA (A.L., S.Z., P.R., D.C.P., M.S.S., R.A.)
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Gerrish AC, Malik L, Swain C, Thomas AG, Jaspan T, Dineen RA. Diagnostic performance of axial T2-weighted MRI sequence for exclusion of brain tumour in paediatric patients with non-localizing symptoms. Br J Radiol 2024:tqae244. [PMID: 39673436 DOI: 10.1093/bjr/tqae244] [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: 06/28/2024] [Revised: 10/02/2024] [Accepted: 11/25/2024] [Indexed: 12/16/2024] Open
Abstract
OBJECTIVE To establish diagnostic performance of a single axial T2-weighted sequence for detection of brain tumours in children with non-localizing symptoms, compared to a standard MRI protocol. METHODS Retrospective analysis of children undergoing MRI brain imaging for suspected brain tumours with non-localizing symptoms over a 3-year period. Axial T2-weighted images were blindly reviewed by 2 experienced paediatric neuroradiologists. Primary analysis was calculation of diagnostic performance metrics for tumour identification using axial T2-weighted image only compared to the standard MRI protocol. RESULTS For 312 children undergoing MRI brain during the study period, sensitivity and specificity for brain tumour detection based on axial T2-weighted images in children with non-localizing symptoms were 1.000 (95% CIs 0.598, 1.000) and 0.998 (95% CI 0.990, 0.999), respectively. Based on T2-weighted images alone, 50 patients (16%) were flagged as needing recall for further imaging compared to 14 (4.5%) recalled after the standard protocol. CONCLUSIONS Axial T2-weighted images have high sensitivity and specificity for detection of brain tumours in children with non-localizing symptoms but are associated with increased imaging recall rates. Prospective evaluation of this approach to identify patients requiring more comprehensive imaging is warranted. ADVANCES IN KNOWLEDGE A truncated MRI protocol with single axial T2-weighted sequence has high diagnostic performance for brain tumour detection in children with non-localizing features. Radiologists can be reassured that a child with this presentation who is unable to complete the full MRI scan protocol is very unlikely to have a brain tumour missed provided an axial T2-weighted sequence is obtained.
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Affiliation(s)
- Amy C Gerrish
- Radiology, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, United Kingdom
| | - Luqman Malik
- Radiology, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, United Kingdom
| | - Charlotte Swain
- Radiology, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, United Kingdom
| | - Adam G Thomas
- Radiology, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, United Kingdom
| | - Timothy Jaspan
- Radiology, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, United Kingdom
| | - Rob A Dineen
- Radiology, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, United Kingdom
- Radiological Sciences, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, United Kingdom
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, NG7 2UH, United Kingdom
- NIHR Nottingham Biomedical Research Centre, Nottingham, NG7 2UH, United Kingdom
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De Luca F, Kits A, Martin Muñoz D, Aspelin Å, Kvist O, Österman Y, Diaz Ruiz S, Skare S, Falk Delgado A. Elective one-minute full brain multi-contrast MRI versus brain CT in pediatric patients: a prospective feasibility study. BMC Med Imaging 2024; 24:23. [PMID: 38267889 PMCID: PMC10809606 DOI: 10.1186/s12880-024-01196-6] [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: 06/15/2023] [Accepted: 01/08/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND Brain CT can be used to evaluate pediatric patients with suspicion of cerebral pathology when anesthetic and MRI resources are scarce. This study aimed to assess if pediatric patients referred for an elective brain CT could endure a diagnostic fast brain MRI without general anesthesia using a one-minute multi-contrast EPI-based sequence (EPIMix) with comparable diagnostic performance. METHODS Pediatric patients referred for an elective brain CT between March 2019 and March 2020 were prospectively included and underwent EPIMix without general anesthesia in addition to CT. Three readers (R1-3) independently evaluated EPIMix and CT images on two separate occasions. The two main study outcomes were the tolerance to undergo an EPIMix scan without general anesthesia and its performance to classify a scan as normal or abnormal. Secondary outcomes were assessment of disease category, incidental findings, diagnostic image quality, diagnostic confidence, and image artifacts. Further, a side-by-side evaluation of EPIMix and CT was performed. The signal-to-noise ratio (SNR) was calculated for EPIMix on T1-weighted, T2-weighted, and ADC images. Descriptive statistics, Fisher's exact test, and Chi-squared test were used to compare the two imaging modalities. RESULTS EPIMix was well tolerated by all included patients (n = 15) aged 5-16 (mean 11, SD 3) years old. Thirteen cases on EPIMix and twelve cases on CT were classified as normal by all readers (R1-3), while two cases on EPIMix and three cases on CT were classified as abnormal by one reader (R1), (R1-3, p = 1.00). There was no evidence of a difference in diagnostic confidence, image quality, or the presence of motion artifacts between EPIMix and CT (R1-3, p ≥ 0.10). Side-by-side evaluation (R2 + R4 + R5) reviewed all scans as lacking significant pathological findings on EPIMix and CT images. CONCLUSIONS Full brain MRI-based EPIMix sequence was well tolerated without general anesthesia with a diagnostic performance comparable to CT in elective pediatric patients. TRIAL REGISTRATION This study was approved by the Swedish Ethical Review Authority (ethical approval number/ID Ethical approval 2017/2424-31/1). This study was a clinical trial study, with study protocol published at ClinicalTrials.gov with Trial registration number NCT03847051, date of registration 18/02/2019.
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Affiliation(s)
- Francesca De Luca
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
- Department of Radiology, Karolinska University Hospital, Stockholm, Sweden.
| | - Annika Kits
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Daniel Martin Muñoz
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Åsa Aspelin
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Ola Kvist
- Department of Pediatric Radiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
| | - Yords Österman
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Sandra Diaz Ruiz
- Department of Pediatric Radiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
- Department of Radiology, Lund University, Lund, Sweden
| | - Stefan Skare
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Falk Delgado
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
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Ahamed SH, Tang PH. Letter to the Editor. Cost-effectiveness of ultrafast brain MRI in pediatric patients. J Neurosurg 2023; 138:1168-1169. [PMID: 36461820 DOI: 10.3171/2022.10.jns222433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Conti R, Marta G, Wijers L, Barbi E, Poropat F. Red flags Presented in Children Complaining of Headache in Paediatric Emergency Department. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10020366. [PMID: 36832495 PMCID: PMC9955876 DOI: 10.3390/children10020366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/16/2023]
Abstract
This study aimed to determine how common are specific red flags of life-threatening headache (LTH) among children with complaints of headache in the emergency department. A retrospective study was conducted over five years, including all patients aged < 18 years who presented for a headache to a Pediatric Emergency Department. We identified patients with life-threatening headaches and compared the recurrence of the main red flags (occipital location, vomit, nocturnal wake-up, presence of neurological signs, and family history of primary headache) to the remaining sample. Two-thousand-fifty-one children (51% female, 49% male) were included. Seven patients (0.3%) were diagnosed with a life-threatening headache. In the analysis of red flags, only the presence of abnormal neurological evaluation and vomiting was found to be more common in the LTH sample. No statistically significant difference was found for nocturnal awakening or occipital localization of pain. Urgent neuroradiological examinations were performed in 72 patients (3.5% of cases). The most common discharge diagnosis was infection-related headache (42.4%), followed by primary headaches (39.7%). This large retrospective study confirms the most recent literature suggesting that night awakenings and occipital pain are common symptoms also associated with not-LTH. Therefore, if isolated, they should not be considered red flags.
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Affiliation(s)
- Rosaura Conti
- Department of Medicine and Surgery and Health Sciences, University of Trieste, 34127 Trieste, Italy
| | - Giorgia Marta
- Department of Medicine and Surgery and Health Sciences, University of Trieste, 34127 Trieste, Italy
| | - Lotte Wijers
- Faculty of Health, Medicine and Life Sciences, Maastricht University, 6211 LK Maastricht, The Netherlands
| | - Egidio Barbi
- Department of Medicine and Surgery and Health Sciences, University of Trieste, 34127 Trieste, Italy
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, 34137 Trieste, Italy
| | - Federico Poropat
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, 34137 Trieste, Italy
- Correspondence:
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Lang M, Cartmell S, Tabari A, Briggs D, Pianykh O, Kirsch J, Cauley S, Lo WC, Risacher S, Filho AG, Succi MD, Rapalino O, Schaefer P, Conklin J, Huang SY. Evaluation of the Aggregated Time Savings in Adopting Fast Brain MRI Techniques for Outpatient Brain MRI. Acad Radiol 2023; 30:341-348. [PMID: 34635436 PMCID: PMC8989721 DOI: 10.1016/j.acra.2021.07.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 06/29/2021] [Accepted: 07/02/2021] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Clinical validation studies have demonstrated the ability of accelerated MRI sequences to decrease acquisition time and motion artifact while preserving image quality. The operational benefits, however, have been less explored. Here, we report our initial clinical experience in implementing fast MRI techniques for outpatient brain imaging during the COVID-19 pandemic. METHODS Aggregate acquisition times were extracted from the medical record on consecutive imaging examinations performed during matched pre-implementation (7/1/2019-12/31/2019) and post-implementation periods (7/1/2020-12/31/2020). Expected acquisition time reduction for each MRI protocol was calculated through manual collection of acquisition times for the conventional and accelerated sequences performed during the pre- and post-implementation periods. Aggregate and expected acquisition times were compared for the five most frequently performed brain MRI protocols: brain without contrast (BR-), brain with and without contrast (BR+), multiple sclerosis (MS), memory loss (MML), and epilepsy (EPL). RESULTS The expected time reductions for BR-, BR+, MS, MML, and EPL protocols were 6.6 min, 11.9 min, 14 min, 10.8 min, and 14.1 min, respectively. The overall median aggregate acquisition time was 31 [25, 36] min for the pre-implementation period and 18 [15, 22] min for the post-implementation period, with a difference of 13 min (42%). The median acquisition time was reduced by 4 min (25%) for BR-, 14.0 min (44%) for BR+, 14 min (38%) for MS, 11 min (52%) for MML, and 16 min (35%) for EPL. CONCLUSION The implementation of fast brain MRI sequences significantly reduced the acquisition times for the most commonly performed outpatient brain MRI protocols.
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Affiliation(s)
- Min Lang
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts; Medically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Massachusetts General Hospital, Boston, Massachusetts
| | - Samuel Cartmell
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts
| | - Azadeh Tabari
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts
| | - Daniel Briggs
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts
| | - Oleg Pianykh
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts
| | - John Kirsch
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Stephen Cauley
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Wei-Ching Lo
- Siemens Medical Solutions, Boston, Massachusetts
| | - Seretha Risacher
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts
| | - Augusto Goncalves Filho
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Marc D Succi
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts; Medically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Massachusetts General Hospital, Boston, Massachusetts
| | - Otto Rapalino
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts
| | - Pamela Schaefer
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts
| | - John Conklin
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts
| | - Susie Y Huang
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street Boston, Boston, Massachusetts; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
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Hwee TANGP, Koh Cheng THOON. Imaging of Congenital/Childhood Central Nervous System Infections. Neuroimaging Clin N Am 2023; 33:207-224. [DOI: 10.1016/j.nic.2022.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Tang PH, Zhang AY, Lam SSW, Ong MEH, Chan LL. Implementation of an AI model to triage paediatric brain magnetic resonance imaging orders. ANNALS OF THE ACADEMY OF MEDICINE, SINGAPORE 2022. [DOI: 10.47102/annals-acadmedsg.2022104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Wooldridge J, Arduino A, Zilberti L, Zanovello U, Chiampi M, Clementi V, Bottauscio O. Gradient coil and radiofrequency induced heating of orthopaedic implants in MRI: influencing factors. Phys Med Biol 2021; 66. [PMID: 34847533 DOI: 10.1088/1361-6560/ac3eab] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 11/30/2021] [Indexed: 11/12/2022]
Abstract
Patients with implanted orthopaedic devices represent a growing number of subjects undergoing magnetic resonance imaging (MRI) scans each year. MRI safety labelling is required for all implants under the EU Medical Device Regulations to ensure regulatory compliance, with each device assessed through standardised testing procedures. In this paper, we employ parametric studies to assess a range of clinically relevant factors that cause tissue heating, performing simulations with both radiofrequency (RF) and gradient coil (GC) switching fields, the latter of which is often overlooked in the literature. A series of 'worst-case' scenarios for both types of excitation field is discussed. In the case of GC fields, large volume implants and large plate areas with the field orientated perpendicular to the plane cause the highest heating levels, along with sequences with high rates of field switching. Implant heating from RF fields is driven primarily from the 'antenna effect', with thin, linear implants of resonant length resulting in the highest temperature rises. In this work, we show that simplifications may be made to the field sequence and in some cases the device geometry without significantly compromising the accuracy of the simulation results, enabling the possibility for generic estimates of the implant heating for orthopaedic device manufacturers and opportunities to simplify the safety compliance process.
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Affiliation(s)
- J Wooldridge
- National Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW, United Kingdom
| | - A Arduino
- Istituto Nazionale di Ricerca Metrologica, Str. delle Cacce, 91, I-10135 Torino TO, Italy
| | - L Zilberti
- Istituto Nazionale di Ricerca Metrologica, Str. delle Cacce, 91, I-10135 Torino TO, Italy
| | - U Zanovello
- Istituto Nazionale di Ricerca Metrologica, Str. delle Cacce, 91, I-10135 Torino TO, Italy
| | - M Chiampi
- Istituto Nazionale di Ricerca Metrologica, Str. delle Cacce, 91, I-10135 Torino TO, Italy
| | - V Clementi
- IRCCS Istituto Ortopedico Rizzoli, Laboratorio di Tecnologia Medica, Via di Barbiano 1/10, I-40136 Bologna, Italy
| | - O Bottauscio
- Istituto Nazionale di Ricerca Metrologica, Str. delle Cacce, 91, I-10135 Torino TO, Italy
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Wave-controlled aliasing in parallel imaging magnetization-prepared gradient echo (wave-CAIPI MPRAGE) accelerates speed for pediatric brain MRI with comparable diagnostic performance. Sci Rep 2021; 11:13296. [PMID: 34168260 PMCID: PMC8225910 DOI: 10.1038/s41598-021-92759-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 06/11/2021] [Indexed: 01/07/2023] Open
Abstract
We aimed to compare accelerated post-contrast magnetization-prepared rapid gradient-echo (MPRAGE) using wave-controlled aliasing in parallel imaging (wave-CAIPI) with conventional MPRAGE as a reliable method to diagnose intracranial lesions in pediatric patients. A total of 23 consecutive pediatric patients who underwent post-contrast wave-CAIPI and conventional MPRAGE (scan time: 2 min 39 s vs. 5 min 46 s) were retrospectively evaluated. Two radiologists independently assessed each image for the presence of intracranial lesions. Quantitative [contrast-to-noise ratio (CNR), contrast rate (CR), and signal-to-noise ratio (SNR)] and qualitative parameters (overall image quality, gray-white matter differentiation, demarcation of basal ganglia and sulci, and motion artifacts) were also surveyed. Wave-CAIPI MPRAGE and conventional MPRAGE detected enhancing and non-enhancing intracranial lesions with 100% agreement. Although wave-CAIPI MPRAGE had a lower SNR (all p < 0.05) and overall image quality (overall analysis, p = 0.02) compared to conventional MPRAGE, other quantitative (CNR and CR) and qualitative parameters (gray-white differentiation, demarcation of basal ganglia and sulci, and motion artifacts) were comparable in the pooled analysis and between both observers (all p > 0.05). Wave-CAIPI MPRAGE was a reliable method for diagnosing intracranial lesions in pediatric patients as conventional MPRAGE at half the scan time.
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