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Nguyen MH, Swensen SN, Colbert CM, Amin AG, Sponseller PA, Melancon D, Schaub SK, Tseng YD, Blau MH, Halasz LM, Yang JT, Rengan R, Bloch C, Mossa-Basha M, Hofstetter CP, Lo SS. Dosimetric Impact of Radiolucent Carbon Fiber Hardware for Post-Operative Spine Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e140-e141. [PMID: 37784713 DOI: 10.1016/j.ijrobp.2023.06.950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The spine is the most common site of osseous metastases. In the non-operative setting, there is growing support for stereotactic body radiation therapy (SBRT) over conventional radiation therapy for improved pain relief and local control. Hybrid therapy consisting of separation surgery and post-operative SBRT is considered in patients with biomechanical instability and epidural cord compression. Surgery traditionally requires titanium (Ti) implants, which introduce artifacts on post-operative imaging in addition to increased uncertainty and beam attenuation. Use of radiolucent carbon fiber reinforced polyetheretherketone (CFR-PEEK) hardware has been shown to provide safe and comparable surgical outcomes as compared to Ti. Our primary objective is to assess the dosimetric impact of Ti versus carbon fiber implants in spine SBRT. MATERIALS/METHODS Single institution retrospective series of post-operative spine SBRT from 2019-2020. Re-irradiation cases were excluded. The electronic medical record and treatment planning systems (TPS) were queried. Dosimetric analyses compared original Ti plans with reoptimized plans, replacing Ti hardware electronic density with carbon fiber. Maintaining clinical goals, dose calculations were performed in a treatment planning system using a collapsed cone algorithm. All treatments used step and shoot intensity modulated radiation therapy to avoid beam angles with significant metal along the beam path. Metallic artifacts were contoured and assigned the appropriate tissue density. A D'Agostino-Pearson test was used to assess data for normality. We used paired Student's t-tests to compare three dosimetric outcomes in the setting of Ti and carbon fiber implants. Planning target volume (PTV) coverage was represented by the volume receiving at least the prescribed dose (%), the maximum point dose (dmax, cGy) to the spinal cord planning risk volume (PRV, 2 mm margin), and the overall hot spot intensity (plan dmax). RESULTS A series of 14 consecutive SBRT cases were evaluated (dose 27-30 Gy in 3-5 fractions). All dosimetric outcomes were normally distributed (p>0.05). We found a statistically significant difference in PTV coverage between the original SBRT treatment plans with Ti hardware (mean 85.1 ± 7.9%) and reoptimized carbon fiber hardware (87.3 ± 6.6%; p = 0.002). There was no significant difference in mean spinal cord PRV dmax between Ti and carbon fiber plans (1846 ± 483 cGy vs. 1842 ± 495 cGy; p>0.05). We observed a nonsignificant increase in mean overall dmax from 3932 ± 416 cGy in the Ti cohort to 4111 ± 906 cGy in the carbon fiber cohort (p>0.05). CONCLUSION Carbon fiber implants provide a significant increase in SBRT target coverage, without impacting the overall plan and spinal cord PRV dmax in this retrospective series. In addition to improved post-operative imaging and reduced uncertainty, carbon fiber hardware may offer dosimetric advantages as compared to traditional Ti spinal implants, and warrants further investigation in a larger cohort.
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Affiliation(s)
- M H Nguyen
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - S N Swensen
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - C M Colbert
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - A G Amin
- Department of Neurological Surgery, University of Washington, Seattle, WA
| | - P A Sponseller
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - D Melancon
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - S K Schaub
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - Y D Tseng
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - M H Blau
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - L M Halasz
- Department of Radiation Oncology, University of Washington/ Fred Hutchinson Cancer Center, Seattle, WA
| | - J T Yang
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - R Rengan
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - C Bloch
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - M Mossa-Basha
- Department of Radiology, University of Washington, Seattle, WA
| | - C P Hofstetter
- Department of Neurological Surgery, University of Washington, Seattle, WA
| | - S S Lo
- Department of Radiation Oncology, University of Washington, Seattle, WA
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Mossa-Basha M, Yuan C, Wasserman BA, Mikulis DJ, Hatsukami TS, Balu N, Gupta A, Zhu C, Saba L, Li D, DeMarco JK, Lehman VT, Qiao Y, Jager HR, Wintermark M, Brinjikji W, Hess CP, Saloner DA. Survey of the American Society of Neuroradiology Membership on the Use and Value of Extracranial Carotid Vessel Wall MRI. AJNR Am J Neuroradiol 2022; 43:1756-1761. [PMID: 36423951 DOI: 10.3174/ajnr.a7720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 10/10/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND PURPOSE Extracranial vessel wall MRI (EC-VWI) contributes to vasculopathy characterization. This survey study investigated EC-VWI adoption by American Society of Neuroradiology (ASNR) members and indications and barriers to implementation. MATERIALS AND METHODS The ASNR Vessel Wall Imaging Study Group survey on EC-VWI use, frequency, applications, MR imaging systems and field strength used, protocol development approaches, vendor engagement, reasons for not using EC-VWI, ordering provider interest, and impact on clinical care was distributed to the ASNR membership between April 2, 2019, to August 30, 2019. RESULTS There were 532 responses; 79 were excluded due to minimal, incomplete response and 42 due to redundant institutional responses, leaving 411 responses. Twenty-six percent indicated that their institution performed EC-VWI, with 66.3% performing it ≤1-2 times per month, most frequently on 3T MR imaging, with most using combined 3D and 2D protocols. Protocols most commonly included pre- and postcontrast T1-weighted imaging, TOF-MRA, and contrast-enhanced MRA. Inflammatory vasculopathy (63.3%), plaque vulnerability assessments (61.1%), intraplaque hemorrhage (61.1%), and dissection-detection/characterization (51.1%) were the most frequent applications. For those not performing EC-VWI, the reasons were a lack of ordering provider interest (63.9%), lack of radiologist time/interest (47.5%) or technical support (41.4%) for protocol development, and limited interpretation experience (44.9%) and knowledge of clinical applications (43.7%). Reasons given by 46.9% were that no providers approached radiology with interest in EC-VWI. If barriers were overcome, 51.1% of those not performing EC-VWI indicated they would perform it, and 40.6% were unsure; 48.6% did not think that EC-VWI had impacted patient management at their institution. CONCLUSIONS Only 26% of neuroradiology groups performed EC-VWI, most commonly due to limited clinician interest. Improved provider and radiologist education, protocols, processing techniques, technical support, and validation trials could increase adoption.
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Affiliation(s)
- M Mossa-Basha
- From the Department of Radiology (M.M.-B.), University of North Carolina, Chapel Hill, North Carolina .,Departments of Radiology (M.M.-B., N.B., C.Z.)
| | - C Yuan
- Department of Radiology (C.Y.), University of Utah, Salt Lake City, Utah
| | - B A Wasserman
- Department of Radiology (B.A.W.), University of Maryland, Baltimore, Maryland.,Department of Radiology (B.A.W., Y.Q.), Johns Hopkins University, Baltimore, Maryland
| | - D J Mikulis
- Joint Department of Medical Imaging (D.J.M.), The University Health Network and the University of Toronto, Toronto, Ontario, Canada
| | - T S Hatsukami
- Surgery (T.S.H.), University of Washington, Seattle, Washington
| | - N Balu
- Departments of Radiology (M.M.-B., N.B., C.Z.)
| | - A Gupta
- Department of Radiology (A.G.), Weill Cornell Medicine, New York, New York
| | - C Zhu
- Departments of Radiology (M.M.-B., N.B., C.Z.)
| | - L Saba
- Department of Radiology (L.S.), University of Cagliari, Cagliari, Sardinia, Italy
| | - D Li
- Biomedical Imaging Research Institute (D.L.), Cedars-Sinai Medical Center, Los Angeles, California
| | - J K DeMarco
- Department of Radiology (J.K.D.), Walter Reed National Military Medical Center, Bethesda, Maryland and Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - V T Lehman
- Department of Radiology (V.T.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - Y Qiao
- Department of Radiology (B.A.W., Y.Q.), Johns Hopkins University, Baltimore, Maryland
| | - H R Jager
- Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, University College London, Queen Square Institute of Neurology, London, UK
| | - M Wintermark
- Department of Neuroradiology (M.W.), MD Anderson Cancer Institute, Houston, Texas
| | - W Brinjikji
- Department of Radiology (V.T.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - C P Hess
- Department of Radiology and Biomedical Imaging (C.P.H., D.A.S.), University of California, San Francisco, San Francisco, California
| | - D A Saloner
- Department of Radiology and Biomedical Imaging (C.P.H., D.A.S.), University of California, San Francisco, San Francisco, California
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Mossa-Basha M, Zhu C, Yuan C, Saba L, Saloner DA, Edjlali M, Stence NV, Mandell DM, Romero JM, Qiao Y, Mikulis DJ, Wasserman BA. Survey of the American Society of Neuroradiology Membership on the Use and Value of Intracranial Vessel Wall MRI. AJNR Am J Neuroradiol 2022; 43:951-957. [PMID: 35710122 DOI: 10.3174/ajnr.a7541] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/22/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND PURPOSE Intracranial vessel wall MR imaging is an emerging technique for intracranial vasculopathy assessment. Our aim was to investigate intracranial vessel wall MR imaging use by the American Society of Neuroradiology (ASNR) members at their home institutions, including indications and barriers to implementation. MATERIALS AND METHODS The ASNR Vessel Wall Imaging Study Group survey on vessel wall MR imaging use, frequency, applications, MR imaging systems and field strength used, protocol development approaches, vendor engagement, reasons for not using vessel wall MR imaging, ordering-provider interest, and impact on clinical care, was distributed to the ASNR membership between April 2 and August 30, 2019. RESULTS There were 532 responses; 79 were excluded due to nonresponse and 42 due to redundant institutional responses, leaving 411 responses. Fifty-two percent indicated that their institution performs vessel wall MR imaging, with 71.5% performed at least 1-2 times/month, most frequently on 3T MR imaging, and 87.7% using 3D sequences. Protocols most commonly included were T1-weighted pre- and postcontrast and TOF-MRA; 60.6% had limited contributions from vendors or were still in protocol development. Vasculopathy differentiation (94.4%), cryptogenic stroke (41.3%), aneurysm (38.0%), and atherosclerosis (37.6%) evaluation were the most common indications. For those not performing vessel wall MR imaging, interpretation (53.1%) or technical (46.4%) expertise, knowledge of applications (50.5%), or limitations of clinician (56.7%) or radiologist (49.0%) interest were the most common reasons. If technical/expertise obstacles were overcome, 56.4% of those not performing vessel wall MR imaging indicated that they would perform it. Ordering providers most frequently inquiring about vessel wall MR imaging were from stroke neurology (56.5%) and neurosurgery (25.1%), while 34.3% indicated that no providers had inquired. CONCLUSIONS More than 50% of neuroradiology groups use vessel wall MR imaging for intracranial vasculopathy characterization and differentiation, emphasizing the need for additional technical and educational support, especially as clinical vessel wall MR imaging implementation continues to grow.
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Affiliation(s)
- M Mossa-Basha
- From the Department of Radiology (M.M.-B.), University of North Carolina, Chapel Hill, North Carolina .,Department of Radiology (M.M.-B., C.Z.), University of Washington, Seattle, Washington
| | - C Zhu
- Department of Radiology (M.M.-B., C.Z.), University of Washington, Seattle, Washington
| | - C Yuan
- Department of Radiology (C.Y.), University of Utah, Salt Lake City, Utah
| | - L Saba
- University of Cagliari (L.S.), Cagliari, Sardinia, Italy
| | - D A Saloner
- Department of Radiology and Biomedical Imaging (D.A.S.), University of California San Francisco, San Francisco, California
| | - M Edjlali
- Department of Radiology (M.E.), AP-HP, Laboratoire d'imagerie Biomédicale Multimodale (BioMaps), Paris-Saclay University, Paris, France
| | - N V Stence
- Department of Radiology (N.V.S.), Children's Hospital of Colorado, Aurora, Colorado
| | - D M Mandell
- Joint Department of Medical Imaging (D.M.M., D.J.M.), University Health Network, Toronto, Ontario, Canada
| | - J M Romero
- Department of Radiology (J.M.R.), Massachusetts General Hospital, Boston, Massachusetts
| | - Y Qiao
- Department of Radiology (Y.Q., B.A.W.), Johns Hopkins University, Baltimore, Maryland
| | - D J Mikulis
- Joint Department of Medical Imaging (D.M.M., D.J.M.), University Health Network, Toronto, Ontario, Canada
| | - B A Wasserman
- Department of Radiology (Y.Q., B.A.W.), Johns Hopkins University, Baltimore, Maryland.,Department of Radiology (B.A.W.), University of Maryland, Baltimore, Maryland
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Sannananja B, Zhu C, Colip CG, Somasundaram A, Ibrahim M, Khrisat T, Mossa-Basha M. Image-Quality Assessment of 3D Intracranial Vessel Wall MRI Using DANTE or DANTE-CAIPI for Blood Suppression and Imaging Acceleration. AJNR Am J Neuroradiol 2022; 43:837-843. [PMID: 35618420 DOI: 10.3174/ajnr.a7531] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 04/13/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE 3D intracranial vessel wall MRI techniques are time consuming and prone to artifacts, especially flow artifacts. Our aim was to compare the image quality of accelerated and flow-suppressed 3D intracranial vessel wall MR imaging techniques relative to conventional acquisitions. MATERIALS AND METHODS Consecutive patients undergoing MR imaging had conventional postcontrast 3D T1-sampling perfection with application-optimized contrasts by using different flip angle evolution (SPACE) and either postcontrast delay alternating with nutation for tailored excitation (DANTE) flow-suppressed or DANTE-controlled aliasing in parallel imaging results in higher acceleration (CAIPI) flow-suppressed and accelerated T1-SPACE sequences performed. The sequences were evaluated using 4- or 5-point Likert scales for overall image quality, SNR, extent/severity of artifacts, motion, blood suppression, sharpness, and lesion assessment. Quantitative assessment of lumen and wall-to-lumen contrast ratios was performed. RESULTS Eighty-nine patients were included. T1-DANTE-SPACE had significantly better qualitative ratings relative to T1-SPACE for image quality, SNR, artifact impact, arterial and venous suppression, and lesion assessment (P < .001 for each, respectively), with the exception of motion (P = .16). T1-DANTE-CAIPI-SPACE had significantly better image quality, lesion assessment, arterial and venous blood suppression, less artifact impact, and less motion compared with T1-SPACE (P < .001 for each, respectively). The SNR was higher with T1-SPACE compared with T1-DANTE-CAIPI-SPACE (P < .001). T1-DANTE-CAIPI-SPACE showed significantly worse lumen (P = .005) and wall-to-lumen contrast ratios (P = .001) compared with T1-SPACE, without a significant difference between T1-SPACE and T1-DANTE-SPACE. T1-DANTE-CAIPI-SPACE scan time was 5:11 minutes compared with 8:08 and 8:41 minutes for conventional T1-SPACE and T1-DANTE-SPACE, respectively. CONCLUSIONS Accelerated postcontrast T1-DANTE-CAIPI-SPACE had fewer image artifacts, less motion, improved blood suppression, and a shorter scan time, but lower qualitative and quantitative SNR ratings relative to conventional T1-SPACE intracranial vessel wall MR imaging. Postcontrast T1-DANTE-SPACE had superior SNR, blood suppression, higher image quality, and fewer image artifacts, but slightly longer scan times relative to T1-SPACE.
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Affiliation(s)
- B Sannananja
- From the Department of Radiology (B.S., A.S.), Emory University, Atlanta, Georgia
| | - C Zhu
- Department of Radiology (C.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - C G Colip
- Kaiser Permanente Northwest (C.G.C.), Portland, OR
| | - A Somasundaram
- From the Department of Radiology (B.S., A.S.), Emory University, Atlanta, Georgia
| | - M Ibrahim
- Department of Radiology (M.I.), University of Kansas, Lawrence, Kansas
| | - T Khrisat
- Department of Surgery (T.K.), Lincoln Medical Center, New York, New York
| | - M Mossa-Basha
- Department of Radiology (C.Z., M.M.-B.), University of Washington, Seattle, Washington
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5
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Hartman J, Moran S, Zhu C, Sharp J, Hippe D, Zamora D, Mossa-Basha M. Use of CTA Test Dose to Trigger a Low Cardiac Output Protocol Improves Acute Stroke CTP Data Analyzed with RAPID Software. AJNR Am J Neuroradiol 2022; 43:388-393. [PMID: 35177549 PMCID: PMC8910817 DOI: 10.3174/ajnr.a7428] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 12/16/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE Contrast curve truncation in CTP protocols may introduce errors. We sought to identify risk factors and design a protocol to avoid truncation while limiting radiation. MATERIALS AND METHODS In an initial fixed-timing cohort, patients underwent a 65-second CTP with 2-second delay postcontrast injection. Multivariable analysis identified factors associated with truncation. A later case-specific cohort underwent either the original protocol or a low cardiac output protocol with a 7-second delay and 75-second scanning window, with selection determined by CTA test-dose enhancement upswing delay. Time-density curves were assessed for truncation and compared between the 2 groups, and the radiation dose was evaluated. RESULTS From September 2017 through May 2018, one hundred fifty-three patients underwent the standard fixed-timing protocol. Age (OR, 1.82/10-year increase; P = .019), reduced left ventricle ejection fraction (OR, 9.23; P = .001), and hypertension (OR, 0.32; P = .06) were independently associated with truncation in an exploratory multivariable model. From May 2018 through April 2019, one hundred fifty-seven patients underwent either the standard (72 patients) or low cardiac output protocol (85 patients). The fixed-timing cohort had 15 truncations (9.8%) versus 4 in the case-specific cohort (2.5%; P = .009). If the low cardiac output protocol were applied to those with >10.6% predicted risk of truncation based on age, left ventricle ejection fraction, and hypertension, the number of truncations would have decreased from 15 to 4 in the fixed-timing cohort. CONCLUSIONS Older age, left ventricle ejection fraction, and the absence of hypertension increase the risk of time-density curve truncation. However, a CTA test-dose-directed case-specific protocol can reduce truncation to ensure accurate data while mitigating radiation dose increases.
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Affiliation(s)
- J.B. Hartman
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - S. Moran
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - C. Zhu
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - J. Sharp
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - D.S. Hippe
- Clinical Research Division (D.S.H.), Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - D.A. Zamora
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - M. Mossa-Basha
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington,Department of Radiology (M.M.-B.), University of North Carolina, Chapel Hill, North Carolina
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Alexander MD, de Havenon A, Mossa-Basha M, McNally JS. How Far Can We Take Vessel Wall MRI for Intracranial Atherosclerosis? The Tissue is Still the Issue. AJNR Am J Neuroradiol 2020; 41:E30-E31. [PMID: 32354713 DOI: 10.3174/ajnr.a6501] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- M D Alexander
- Departments of Radiology and Imaging Sciences and Neurosurgery
| | - A de Havenon
- Department of NeurologyUniversity of UtahSalt Lake City, Utah
| | - M Mossa-Basha
- Department of RadiologyUniversity of WashingtonSeattle, Washington
| | - J S McNally
- Departments of Radiology and Imaging SciencesUniversity of UtahSalt Lake City, Utah
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Vranic JE, Cross NM, Wang Y, Hippe DS, de Weerdt E, Mossa-Basha M. Compressed Sensing-Sensitivity Encoding (CS-SENSE) Accelerated Brain Imaging: Reduced Scan Time without Reduced Image Quality. AJNR Am J Neuroradiol 2018; 40:92-98. [PMID: 30523142 DOI: 10.3174/ajnr.a5905] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 10/22/2018] [Indexed: 01/20/2023]
Abstract
BACKGROUND AND PURPOSE Compressed sensing-sensitivity encoding is a promising MR imaging acceleration technique. This study compares the image quality of compressed sensing-sensitivity encoding accelerated imaging with conventional MR imaging sequences. MATERIALS AND METHODS Patients with known, treated, or suspected brain tumors underwent compressed sensing-sensitivity encoding accelerated 3D T1-echo-spoiled gradient echo or 3D T2-FLAIR sequences in addition to the corresponding conventional acquisition as part of their clinical brain MR imaging. Two neuroradiologists blinded to sequence and patient information independently evaluated both the accelerated and corresponding conventional acquisitions. The sequences were evaluated on 4- or 5-point Likert scales for overall image quality, SNR, extent/severity of artifacts, and gray-white junction and lesion boundary sharpness. SNR and contrast-to-noise ratio values were compared. RESULTS Sixty-six patients were included in the study. For T1-echo-spoiled gradient echo, image quality in all 5 metrics was slightly better for compressed sensing-sensitivity encoding than conventional images on average, though it was not statistically significant, and the lower bounds of the 95% confidence intervals indicated that compressed sensing-sensitivity encoding image quality was within 10% of conventional imaging. For T2-FLAIR, image quality of the compressed sensing-sensitivity encoding images was within 10% of the conventional images on average for 3 of 5 metrics. The compressed sensing-sensitivity encoding images had somewhat more artifacts (P = .068) and less gray-white matter sharpness (P = .36) than the conventional images, though neither difference was significant. There was no significant difference in the SNR and contrast-to-noise ratio. There was 25% and 35% scan-time reduction with compressed sensing-sensitivity encoding for FLAIR and echo-spoiled gradient echo sequences, respectively. CONCLUSIONS Compressed sensing-sensitivity encoding accelerated 3D T1-echo-spoiled gradient echo and T2-FLAIR sequences of the brain show image quality similar to that of standard acquisitions with reduced scan time. Compressed sensing-sensitivity encoding may reduce scan time without sacrificing image quality.
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Affiliation(s)
- J E Vranic
- From the Department of Radiology (J.E.V., N.M.C., D.S.H., M.M.-B.), University of Washington, Seattle, Washington
| | - N M Cross
- From the Department of Radiology (J.E.V., N.M.C., D.S.H., M.M.-B.), University of Washington, Seattle, Washington
| | - Y Wang
- Philips Healthcare (Y.W., E.d.W.), Best, the Netherlands
| | - D S Hippe
- From the Department of Radiology (J.E.V., N.M.C., D.S.H., M.M.-B.), University of Washington, Seattle, Washington
| | - E de Weerdt
- Philips Healthcare (Y.W., E.d.W.), Best, the Netherlands
| | - M Mossa-Basha
- From the Department of Radiology (J.E.V., N.M.C., D.S.H., M.M.-B.), University of Washington, Seattle, Washington
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8
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Saba L, Yuan C, Hatsukami TS, Balu N, Qiao Y, DeMarco JK, Saam T, Moody AR, Li D, Matouk CC, Johnson MH, Jäger HR, Mossa-Basha M, Kooi ME, Fan Z, Saloner D, Wintermark M, Mikulis DJ, Wasserman BA. Carotid Artery Wall Imaging: Perspective and Guidelines from the ASNR Vessel Wall Imaging Study Group and Expert Consensus Recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol 2018; 39:E9-E31. [PMID: 29326139 DOI: 10.3174/ajnr.a5488] [Citation(s) in RCA: 176] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Identification of carotid artery atherosclerosis is conventionally based on measurements of luminal stenosis and surface irregularities using in vivo imaging techniques including sonography, CT and MR angiography, and digital subtraction angiography. However, histopathologic studies demonstrate considerable differences between plaques with identical degrees of stenosis and indicate that certain plaque features are associated with increased risk for ischemic events. The ability to look beyond the lumen using highly developed vessel wall imaging methods to identify plaque vulnerable to disruption has prompted an active debate as to whether a paradigm shift is needed to move away from relying on measurements of luminal stenosis for gauging the risk of ischemic injury. Further evaluation in randomized clinical trials will help to better define the exact role of plaque imaging in clinical decision-making. However, current carotid vessel wall imaging techniques can be informative. The goal of this article is to present the perspective of the ASNR Vessel Wall Imaging Study Group as it relates to the current status of arterial wall imaging in carotid artery disease.
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Affiliation(s)
- L Saba
- From the Department of Medical Imaging (L.S.), University of Cagliari, Cagliari, Italy
| | - C Yuan
- Departments of Radiology (C.Y., N.B., M.M.-B.)
| | - T S Hatsukami
- Surgery (T.S.H.), University of Washington, Seattle, Washington
| | - N Balu
- Departments of Radiology (C.Y., N.B., M.M.-B.)
| | - Y Qiao
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - J K DeMarco
- Department of Radiology (J.K.D.), Walter Reed National Military Medical Center, Bethesda, Maryland
| | - T Saam
- Department of Radiology (T.S.), Ludwig-Maximilian University Hospital, Munich, Germany
| | - A R Moody
- Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - D Li
- Biomedical Imaging Research Institute (D.L., Z.F.), Cedars-Sinai Medical Center, Los Angeles, California
| | - C C Matouk
- Departments of Neurosurgery, Neurovascular and Stroke Programs (C.C.M., M.H.J.).,Radiology and Biomedical Imaging (C.C.M., M.H.J.)
| | - M H Johnson
- Departments of Neurosurgery, Neurovascular and Stroke Programs (C.C.M., M.H.J.).,Radiology and Biomedical Imaging (C.C.M., M.H.J.).,Surgery (M.H.J.), Yale University School of Medicine, New Haven, Connecticut
| | - H R Jäger
- Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK
| | | | - M E Kooi
- Department of Radiology (M.E.K.), CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Z Fan
- Biomedical Imaging Research Institute (D.L., Z.F.), Cedars-Sinai Medical Center, Los Angeles, California
| | - D Saloner
- Department of Radiology and Biomedical Imaging (D.S.), University of California, San Francisco, California
| | - M Wintermark
- Department of Radiology (M.W.), Neuroradiology Division, Stanford University, Stanford, California
| | - D J Mikulis
- Division of Neuroradiology (D.J.M.), Department of Medical Imaging, University Health Network
| | - B A Wasserman
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
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9
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Gaddikeri S, Mossa-Basha M, Andre JB, Hippe DS, Anzai Y. Optimal Fat Suppression in Head and Neck MRI: Comparison of Multipoint Dixon with 2 Different Fat-Suppression Techniques, Spectral Presaturation and Inversion Recovery, and STIR. AJNR Am J Neuroradiol 2017; 39:362-368. [PMID: 29242364 DOI: 10.3174/ajnr.a5483] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 10/16/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Uniform complete fat suppression is essential for identification and characterization of most head and pathology. Our aim was to compare the multipoint Dixon turbo spin-echo fat-suppression technique with 2 different fat-suppression techniques, including a hybrid spectral presaturation with inversion recovery technique and an inversion recovery STIR technique, in head and neck fat-suppression MR imaging. MATERIALS AND METHODS Head and neck MR imaging datasets of 72 consecutive patients were retrospectively reviewed. All patients were divided into 2 groups based on the type of fat-suppression techniques used (group A: STIR and spectral presaturation with inversion recovery gadolinium-T1WI; group B: multipoint Dixon T2 TSE and multipoint Dixon gadolinium-T1WI TSE). Objective and subjective image quality and scan acquisition times were assessed and compared between multipoint Dixon T2 TSE versus STIR and multipoint Dixon gadolinium-T1WI TSE versus spectral presaturation with inversion recovery gadolinium-T1WI using the Mann-Whitney U test. RESULTS A total of 64 patients were enrolled in the study (group A, n = 33 and group B, n = 31). Signal intensity ratios were significantly higher for multipoint Dixon T2 and gadolinium-T1WI techniques compared with STIR (P < .001) and spectral presaturation with inversion recovery gadolinium-T1WI (P < .001), respectively. Two independent blinded readers revealed that multipoint Dixon T2 and gadolinium-T1WI techniques had significantly higher overall image quality (P = .022 and P < .001) and fat-suppression grades (P < .013 and P < .001 across 3 different regions) than STIR and spectral presaturation with inversion recovery gadolinium-T1WI, respectively. The scan acquisition time was relatively short for the multipoint Dixon technique (2 minutes versus 4 minutes 56 seconds for the T2-weighted sequence and 2 minutes versus 3 minutes for the gadolinium-T1WI sequence). CONCLUSIONS The multipoint Dixon technique offers better image quality and uniform fat suppression at a shorter scan time compared with STIR and spectral presaturation with inversion recovery gadolinium-T1WI techniques.
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Affiliation(s)
- S Gaddikeri
- From the Departments of Neuroradiology (S.G.) .,Radiology (S.G.), Rush University Medical Center, Chicago, Illinois
| | | | - J B Andre
- Department of Neuroradiology (J.B.A.), University of Washington Medical Center, Seattle, Washington
| | - D S Hippe
- Radiology (D.S.H.), University of Washington, Seattle, Washington
| | - Y Anzai
- Department of Radiology (Y.A.), University of Utah Health Center, Salt Lake City, Utah
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10
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Peterson DJ, Rutman AM, Hippe DS, Jarvik JG, Chokshi FH, Reyes MR, Bombardier CH, Mossa-Basha M. Test-Retest and Interreader Reproducibility of Semiautomated Atlas-Based Analysis of Diffusion Tensor Imaging Data in Acute Cervical Spine Trauma in Adult Patients. AJNR Am J Neuroradiol 2017; 38:2015-2020. [PMID: 28818826 DOI: 10.3174/ajnr.a5334] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2017] [Accepted: 06/05/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE DTI is a tool for microstructural spinal cord injury evaluation. This study evaluated the reproducibility of a semiautomated segmentation algorithm of spinal cord DTI. MATERIALS AND METHODS Forty-two consecutive patients undergoing acute trauma cervical spine MR imaging underwent 2 axial DTI scans in addition to their clinical scan. The datasets were put through a semiautomated probabilistic segmentation algorithm that selected white matter, gray matter, and 24 individual white matter tracts. Regional and white matter tract volume, fractional anisotropy, and mean diffusivity values were calculated. Two readers performed the nonautomated steps to evaluate interreader reproducibility. The coefficient of variation and intraclass correlation coefficient were used to assess test-retest and interreader reproducibility. RESULTS Of 42 patients, 30 had useable data. Test-retest reproducibility of fractional anisotropy was high for white matter as a whole (coefficient of variation, 3.8%; intraclass correlation coefficient, 0.93). Test-retest coefficient-of-variation ranged from 8.0%-18.2% and intraclass correlation coefficients from 0.47-0.80 across individual white matter tracts. Mean diffusivity metrics also had high test-retest reproducibility (white matter: coefficient-of-variation, 5.6%; intraclass correlation coefficient, 0.86) with coefficients of variation from 11.6%-18.3% and intraclass correlation coefficients from 0.57-0.74 across individual tracts, with better agreement for larger tracts. The coefficients of variation of fractional anisotropy and mean diffusivity both had significant negative relationships with white matter volume (26%-27% decrease for each doubling of white matter volume, P < .01). CONCLUSIONS DTI spinal cord segmentation is reproducible in the setting of acute spine trauma, specifically for larger white matter tracts and total white or gray matter.
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Affiliation(s)
- D J Peterson
- From the Departments of Radiology (D.J.P., A.M.R., D.S.H., J.G.J., M.M.-B.)
| | - A M Rutman
- From the Departments of Radiology (D.J.P., A.M.R., D.S.H., J.G.J., M.M.-B.)
| | - D S Hippe
- From the Departments of Radiology (D.J.P., A.M.R., D.S.H., J.G.J., M.M.-B.)
| | - J G Jarvik
- From the Departments of Radiology (D.J.P., A.M.R., D.S.H., J.G.J., M.M.-B.)
| | - F H Chokshi
- Department of Radiology (F.H.C.), Emory University, Atlanta, Georgia
| | - M R Reyes
- Rehabilitation Medicine (M.R.R., C.H.B.), University of Washington, Seattle, Washington
| | - C H Bombardier
- Rehabilitation Medicine (M.R.R., C.H.B.), University of Washington, Seattle, Washington
| | - M Mossa-Basha
- From the Departments of Radiology (D.J.P., A.M.R., D.S.H., J.G.J., M.M.-B.)
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11
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Mandell DM, Mossa-Basha M, Qiao Y, Hess CP, Hui F, Matouk C, Johnson MH, Daemen MJAP, Vossough A, Edjlali M, Saloner D, Ansari SA, Wasserman BA, Mikulis DJ. Intracranial Vessel Wall MRI: Principles and Expert Consensus Recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol 2016; 38:218-229. [PMID: 27469212 DOI: 10.3174/ajnr.a4893] [Citation(s) in RCA: 397] [Impact Index Per Article: 49.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Intracranial vessel wall MR imaging is an adjunct to conventional angiographic imaging with CTA, MRA, or DSA. The technique has multiple potential uses in the context of ischemic stroke and intracranial hemorrhage. There remain gaps in our understanding of intracranial vessel wall MR imaging findings and research is ongoing, but the technique is already used on a clinical basis at many centers. This article, on behalf of the Vessel Wall Imaging Study Group of the American Society of Neuroradiology, provides expert consensus recommendations for current clinical practice.
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Affiliation(s)
- D M Mandell
- From the Division of Neuroradiology (D.M.M., D.J.M.), Department of Medical Imaging, University Health Network and the University of Toronto, Toronto, Ontario, Canada
| | - M Mossa-Basha
- Department of Radiology (M.M.-B.), University of Washington, Seattle, Washington
| | - Y Qiao
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., F.H., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - C P Hess
- Department of Radiology and Biomedical Imaging (C.P.H., D.S.), University of California, San Francisco, San Francisco, California
| | - F Hui
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., F.H., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - C Matouk
- Departments of Neurosurgery (C.M., M.H.J.).,Radiology and Biomedical Imaging (C.M., M.H.J.)
| | - M H Johnson
- Departments of Neurosurgery (C.M., M.H.J.).,Radiology and Biomedical Imaging (C.M., M.H.J.).,Surgery (M.H.J.), Yale University School of Medicine, New Haven, Connecticut
| | - M J A P Daemen
- Department of Pathology (M.J.A.P.D.), Academic Medical Center, Amsterdam, the Netherlands
| | - A Vossough
- Departments of Surgery (A.V.).,Radiology (A.V.), Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - M Edjlali
- Department of Radiology (M.E.), Université Paris Descartes Sorbonne Paris Cité, Institut National de la Santé et de la Recherche Médicale S894, Centre Hospitalier Sainte-Anne, Paris, France
| | - D Saloner
- Department of Radiology and Biomedical Imaging (C.P.H., D.S.), University of California, San Francisco, San Francisco, California
| | - S A Ansari
- Departments of Radiology (S.A.A.).,Neurology (S.A.A.).,Neurological Surgery (S.A.A.), Northwestern University, Feinberg School of Medicine, Chicago, Illinois
| | - B A Wasserman
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., F.H., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - D J Mikulis
- From the Division of Neuroradiology (D.M.M., D.J.M.), Department of Medical Imaging, University Health Network and the University of Toronto, Toronto, Ontario, Canada
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12
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Sundarakumar DK, Smith CM, Hwang WD, Mossa-Basha M, Maravilla KR. Evaluation of Focal Cervical Spinal Cord Lesions in Multiple Sclerosis: Comparison of White Matter-Suppressed T1 Inversion Recovery Sequence versus Conventional STIR and Proton Density-Weighted Turbo Spin-Echo Sequences. AJNR Am J Neuroradiol 2016; 37:1561-6. [PMID: 27056424 DOI: 10.3174/ajnr.a4761] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 02/02/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Conventional MR imaging of the cervical spinal cord in MS is challenged by numerous artifacts and interreader variability in lesion counts. This study compares the relatively novel WM-suppressed T1 inversion recovery sequence with STIR and proton density-weighted TSE sequences in the evaluation of cervical cord lesions in patients with MS. MATERIALS AND METHODS Retrospective blinded analysis of cervical cord MR imaging examinations of 50 patients with MS was performed by 2 neuroradiologists. In each patient, the number of focal lesions and overall lesion conspicuity were measured in the STIR/proton density-weighted TSE and WM-suppressed T1 inversion recovery sequence groups. Independent side-by-side comparison was performed to categorize the discrepant lesions as either "definite" or "spurious." Lesion contrast ratio and edge sharpness were independently calculated in each sequence. RESULTS Substantial interreader agreement was noted on the WM-suppressed T1 inversion recovery sequence (κ = 0.82) compared with STIR/proton density-weighted TSE (κ = 0.52). Average lesion conspicuity was better on the WM-suppressed T1 inversion recovery sequence (conspicuity of 3.1/5.0 versus 3.7/5.0, P < .01, in the WM-suppressed T1 inversion recovery sequence versus STIR/proton density-weighted TSE, respectively). Spurious lesions were more common on STIR/proton density-weighted TSE than on the WM-suppressed T1 inversion recovery sequence (23 and 30 versus 3 and 4 by readers 1 and 2, respectively; P < .01). More "definite" lesions were missed on STIR/proton density-weighted TSE compared with the WM-suppressed T1 inversion recovery sequence (37 and 38 versus 3 and 6 by readers 1 and 2, respectively). Lesion contrast ratio and edge sharpness were highest on the WM-suppressed T1 inversion recovery sequence. CONCLUSIONS There is better interreader consistency in the lesion count on the WM-suppressed T1 inversion recovery sequence compared with STIR/proton density-weighted TSE sequences. The focal cord lesions are visualized with better conspicuity due to better contrast ratio and edge sharpness. There are fewer spurious lesions on the WM-suppressed T1 inversion recovery sequence compared with STIR/proton density-weighted TSE. The WM-suppressed T1 inversion recovery sequence could potentially be substituted for either STIR or proton density-weighted TSE sequences in routine clinical protocols.
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Affiliation(s)
- D K Sundarakumar
- From the Department of Radiology, University of Washington, Seattle, Washington.
| | - C M Smith
- From the Department of Radiology, University of Washington, Seattle, Washington
| | - W D Hwang
- From the Department of Radiology, University of Washington, Seattle, Washington
| | - M Mossa-Basha
- From the Department of Radiology, University of Washington, Seattle, Washington
| | - K R Maravilla
- From the Department of Radiology, University of Washington, Seattle, Washington
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13
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Miller TR, Shivashankar R, Mossa-Basha M, Gandhi D. Reversible Cerebral Vasoconstriction Syndrome, Part 2: Diagnostic Work-Up, Imaging Evaluation, and Differential Diagnosis. AJNR Am J Neuroradiol 2015; 36:1580-8. [PMID: 25614476 DOI: 10.3174/ajnr.a4215] [Citation(s) in RCA: 109] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The diagnostic evaluation of a patient with reversible cerebral vasoconstriction syndrome integrates clinical, laboratory, and radiologic findings. Imaging plays an important role by confirming the presence of cerebral vasoconstriction; monitoring potential complications such as ischemic stroke; and suggesting alternative diagnoses, including CNS vasculitis and aneurysmal subarachnoid hemorrhage. Noninvasive vascular imaging, including transcranial Doppler sonography and MR angiography, has played an increasingly important role in this regard, though conventional angiography remains the criterion standard for the evaluation of cerebral artery vasoconstriction. Newer imaging techniques, including high-resolution vessel wall imaging, may help in the future to better discriminate reversible cerebral vasoconstriction syndrome from primary angiitis of the CNS, an important clinical distinction.
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Affiliation(s)
- T R Miller
- From the Department of Diagnostic Radiology (T.R.M., R.S., D.G.), Section of Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland
| | - R Shivashankar
- From the Department of Diagnostic Radiology (T.R.M., R.S., D.G.), Section of Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland
| | - M Mossa-Basha
- Department of Diagnostic Radiology (M.M.-B.), Section of Neuroradiology, University of Washington, Seattle, Washington
| | - D Gandhi
- From the Department of Diagnostic Radiology (T.R.M., R.S., D.G.), Section of Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland
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14
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Miller TR, Shivashankar R, Mossa-Basha M, Gandhi D. Reversible Cerebral Vasoconstriction Syndrome, Part 1: Epidemiology, Pathogenesis, and Clinical Course. AJNR Am J Neuroradiol 2015; 36:1392-9. [PMID: 25593203 DOI: 10.3174/ajnr.a4214] [Citation(s) in RCA: 137] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Reversible cerebral vasoconstriction syndrome is a clinical and radiologic syndrome that represents a common presentation of a diverse group of disorders. The syndrome is characterized by thunderclap headache and reversible vasoconstriction of cerebral arteries, which can either be spontaneous or related to an exogenous trigger. The pathophysiology of reversible cerebral vasoconstriction syndrome is unknown, though alterations in cerebral vascular tone are thought to be a key underlying mechanism. The syndrome typically follows a benign course; however, reversible cerebral vasoconstriction syndrome may result in permanent disability or death in a small minority of patients secondary to complications such as ischemic stroke or intracranial hemorrhage.
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Affiliation(s)
- T R Miller
- From the Department of Diagnostic Radiology (T.R.M., R.S., D.G.), Section of Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland
| | - R Shivashankar
- From the Department of Diagnostic Radiology (T.R.M., R.S., D.G.), Section of Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland
| | - M Mossa-Basha
- Department of Diagnostic Radiology (M.M.-B.), Section of Neuroradiology, University of Washington, Seattle, Washington
| | - D Gandhi
- From the Department of Diagnostic Radiology (T.R.M., R.S., D.G.), Section of Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland
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15
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Guevara M, Lin W, Mossa-Basha M. FRI0247 Black Blood Mri/A for Diagnosis of Large Vessel Vasculitis. Ann Rheum Dis 2014. [DOI: 10.1136/annrheumdis-2014-eular.3341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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16
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Mossa-Basha M, Izbudak I, Gurda GT, Aygun N. Cerebral fat embolism syndrome in sickle cell anaemia/β-thalassemia: Importance of susceptibility-weighted MRI. Clin Radiol 2012; 67:1023-6. [PMID: 22608248 DOI: 10.1016/j.crad.2012.03.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2011] [Revised: 03/01/2012] [Accepted: 03/06/2012] [Indexed: 10/28/2022]
Affiliation(s)
- M Mossa-Basha
- Russell H. Morgan Department of Radiology, Division of Neuroradiology, Johns Hopkins University, Baltimore, MD, USA.
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