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Wong TT, Igbinoba Z, Tokaria R, Quarterman P, Fung M, Jaramillo D, Jambawalikar SR. UTE T2* cartilage mapping in the hip: a pilot study assessing cartilage in patients with femoroacetabular impingement. Acta Radiol 2024; 65:350-358. [PMID: 38130123 DOI: 10.1177/02841851231218252] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
BACKGROUND UTE T2* cartilage mapping use in patients undergoing femoroacetabular impingement (FAI) has been lacking but may allow the detection of early cartilage damage. PURPOSE To assess the reproducibility of UTE T2* cartilage mapping and determine the difference in UTE T2* values between FAI and asymptomatic patients and to evaluate the correlation between UTE T2* values and patient-reported symptoms. MATERIAL AND METHODS Prospective evaluation of both hips (7 FAI and 7 asymptomatic patients). Bilateral hip 3-T MRI scans with UTE T2* cartilage maps were acquired. A second MRI scan was acquired 1-9 months later. Cartilage was segmented into anterosuperior, superior, and posterosuperior regions. Assessment was made of UTE T2* reproducibility (ICC). Mean UTE T2* values in patients were compared (t-tests) and correlation was made with patient-reported outcomes (Spearman's). RESULTS ICCs of mean UTE T2* were as follows: acetabular, 0.82 (95% CI=0.50-0.95); femoral, 0.76 (95% CI=0.35-0.92). Significant strong correlation was found between mean acetabular UTE T2* values and iHOT12 (ρ = -0.63) and moderate correlation with mHHS (ρ = -0.57). There was no difference in mean UTE T2* values between affected vs. non-affected FAI hips. FAI-affected hips had significantly higher values in acetabulum vs. asymptomatic patients (13.47 vs. 12.55 ms). There was no difference in mean femoral cartilage values between the FAI-affected hips vs. asymptomatic patients. The posterosuperior femoral region had a higher mean value in non-affected FAI hips vs. asymptomatic patients (12.60 vs. 11.53 ms). CONCLUSION UTE T2* cartilage mapping had excellent reproducibility. Affected FAI hips had higher mean acetabular UTE T2* values than asymptomatic patients. Severity of patient-reported symptoms correlates with UTE T2* acetabular cartilage values.
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Affiliation(s)
- Tony T Wong
- Department of Radiology, Division of Musculoskeletal Radiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | - Zenas Igbinoba
- Department of Radiology, Division of Musculoskeletal Radiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | - Rumana Tokaria
- Department of Radiology, Division of Musculoskeletal Radiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | | | - Maggie Fung
- General Electric (GE) Healthcare, New York, NY, USA
| | - Diego Jaramillo
- Department of Radiology, Division of Pediatric Radiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | - Sachin R Jambawalikar
- Department of Radiology, Division of Physics, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
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Baris MM, Quarterman P, Shin J, Fung MM, Jambawalikar SR, Moonis G. Diagnostic Utility of Restriction Spectrum Imaging in Head and Neck Tumors: A Pilot Study. J Comput Assist Tomogr 2024; 48:150-155. [PMID: 37551157 DOI: 10.1097/rct.0000000000001513] [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: 08/09/2023]
Abstract
OBJECTIVE Imaging is crucial in the assessment of head and neck cancers for site, extension, and enlarged lymph nodes. Restriction spectrum imaging (RSI) is a new diffusion-weighted magnetic resonance imaging (MRI) technique that enhances the ability to differentiate aggressive cancer from low-grade or benign tumors and helps guide treatment and biopsy. Its contribution to imaging of brain and prostate tumors has been previously published. However, there are no prior studies using RSI sequence in head and neck tumors. The purpose of this study was to evaluate the feasibility of performing RSI in head and neck cancer. METHODS An additional RSI sequence was added in the routine MRI neck protocol for 13 patients diagnosed with head and neck cancer between November 2018 and April 2019. Restriction spectrum imaging sequence was performed with b values of 0, 500, 1500, and 3000 s/mm 2 and 29 directions on 1.5T magnetic resonance scanners.Diffusion-weighted imaging (DWI) images and RSI images were compared according to their ability to detect the primary malignancy and possible metastatic lymph nodes. RESULTS In 71% of the patients, RSI outperformed DWI in detecting the primary malignancy and possible metastatic lymph nodes, whereas in the remaining cases, the 2 were comparable. In 66% of the patients, RSI detected malignant lymph nodes that DWI/apparent diffusion coefficient failed to detect. CONCLUSIONS This is the first study of RSI in head and neck imaging and showed its superiority over the conventional DWI sequence. Because of its ability to differentiate benign and malignant lymph nodes in some cases, the addition of RSI to routine head and neck MRI should be considered.
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Poojar P, Qian E, Fernandes TT, Nunes RG, Fung M, Quarterman P, Jambawalikar SR, Lignelli A, Geethanath S. Tailored magnetic resonance fingerprinting. Magn Reson Imaging 2023; 99:81-90. [PMID: 36764630 DOI: 10.1016/j.mri.2023.02.002] [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] [Received: 10/04/2021] [Revised: 01/27/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023]
Abstract
Neuroimaging of certain pathologies requires both multi-parametric qualitative and quantitative imaging. The role of the quantitative MRI (qMRI) is well accepted but suffers from long acquisition times leading to patient discomfort, especially in geriatric and pediatric patients. Previous studies show that synthetic MRI can be used in order to reduce the scan time and provide qMRI as well as multi-contrast data. However, this approach suffers from artifacts such as partial volume and flow. In order to increase the scan efficiency (the number of contrasts and quantitative maps acquired per unit time), we designed, simulated, and demonstrated rapid, simultaneous, multi-contrast qualitative (T1 weighted, T1 fluid attenuated inversion recovery (FLAIR), T2 weighted, water, and fat), and quantitative imaging (T1 and T2 maps) through the approach of tailored MR fingerprinting (TMRF) to cover whole-brain in approximately four minutes. We performed TMRF on in vivo four healthy human brains and in vitro ISMRM/NIST phantom and compared with vendor supplied gold standard (GS) and MRF sequences. All scans were performed on a 3 T GE Premier system and images were reconstructed offline using MATLAB. The reconstructed qualitative images were then subjected to custom DL denoising and gradient anisotropic diffusion denoising. The quantitative tissue parametric maps were reconstructed using a dense neural network to gain computational speed compared to dictionary matching. The grey matter and white matter tissues in qualitative and quantitative data for the in vivo datasets were segmented semi-automatically. The SNR and mean contrasts were plotted and compared across all three methods. The GS images show better SNR in all four subjects compared to MRF and TMRF (GS > TMRF>MRF). The T1 and T2 values of MRF are relatively overestimated as compared to GS and TMRF. The scan efficiency for TMRF is 1.72 min-1 which is higher compared to GS (0.32 min-1) and MRF (0.90 min-1).
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Affiliation(s)
- Pavan Poojar
- Icahn School of Medicine at Mt. Sinai, New York, NY, USA; Columbia Magnetic Resonance Research Center, Columbia University in the city of New York, NY, USA
| | - Enlin Qian
- Columbia Magnetic Resonance Research Center, Columbia University in the city of New York, NY, USA
| | - Tiago T Fernandes
- Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Rita G Nunes
- Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Maggie Fung
- GE Healthcare Applied Sciences Laboratory East, New York, NY, USA
| | | | - Sachin R Jambawalikar
- Department of Radiology, Columbia University Irving Medical Center, Columbia University in the city of New York, NY, USA
| | - Angela Lignelli
- Department of Radiology, Columbia University Irving Medical Center, Columbia University in the city of New York, NY, USA
| | - Sairam Geethanath
- Icahn School of Medicine at Mt. Sinai, New York, NY, USA; Columbia Magnetic Resonance Research Center, Columbia University in the city of New York, NY, USA.
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Shang Y, Theilenberg S, Terekhov M, Mattar W, Peng B, Jambawalikar SR, Schreiber LM, Juchem C. High-resolution simulation of B 0 field conditions in the human heart from segmented computed tomography images. NMR Biomed 2022; 35:e4739. [PMID: 35393706 DOI: 10.1002/nbm.4739] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 04/04/2022] [Accepted: 04/05/2022] [Indexed: 06/14/2023]
Abstract
B0 inhomogeneity leads to imaging artifacts in cardiac magnetic resonance imaging (MRI), in particular dark band artifacts with steady-state free precession pulse sequences. The limited spatial resolution of MR-derived in vivo B0 maps and the lack of population data prevent systematic analysis of the problem at hand and the development of optimized B0 shim strategies. We used readily available clinical computed tomography (CT) images to simulate the B0 conditions in the human heart at high spatial resolution. Calculated B0 fields showed consistency with MRI-based B0 measurements. The B0 maps for both the simulations and in vivo measurements showed local field inhomogeneities in the vicinity of lung tips with dominant Z3 spherical harmonic terms in the field distribution. The presented simulation approach allows for the derivation of B0 field conditions at high spatial resolution from CT images and enables the development of subject- and population-specific B0 shim strategies for the human heart.
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Affiliation(s)
- Yun Shang
- Department of Biomedical Engineering, Columbia University in the City of New York, New York, New York, USA
| | - Sebastian Theilenberg
- Department of Biomedical Engineering, Columbia University in the City of New York, New York, New York, USA
| | - Maxim Terekhov
- Section of Medical Physics, Department of Radiology, Mainz University Hospital, Mainz, Germany
- Chair of Molecular and Cellular Imaging, Comprehensive Heart Failure Center (CHFC), Würzburg, Germany
| | - Wolfram Mattar
- Section of Medical Physics, Department of Radiology, Mainz University Hospital, Mainz, Germany
| | - Boyu Peng
- Department of Radiology, Columbia University in the City of New York, New York, New York, USA
| | - Sachin R Jambawalikar
- Department of Biomedical Engineering, Columbia University in the City of New York, New York, New York, USA
- Department of Radiology, Columbia University in the City of New York, New York, New York, USA
| | - Laura M Schreiber
- Section of Medical Physics, Department of Radiology, Mainz University Hospital, Mainz, Germany
- Chair of Molecular and Cellular Imaging, Comprehensive Heart Failure Center (CHFC), Würzburg, Germany
| | - Christoph Juchem
- Department of Biomedical Engineering, Columbia University in the City of New York, New York, New York, USA
- Department of Radiology, Columbia University in the City of New York, New York, New York, USA
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5
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Wong TT, Quarterman P, Lynch TS, Rasiej MJ, Jaramillo D, Jambawalikar SR. Feasibility of ultrashort echo time (UTE) T2* cartilage mapping in the hip: a pilot study. Acta Radiol 2022; 63:760-766. [PMID: 33926266 DOI: 10.1177/02841851211011563] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 11/16/2022]
Abstract
BACKGROUND Ultrashort echo time (UTE) T2* is sensitive to molecular changes within the deep calcified layer of cartilage. Feasibility of its use in the hip needs to be established to determine suitability for clinical use. PURPOSE To establish feasibility of UTE T2* cartilage mapping in the hip and determine if differences in regional values exist. MATERIAL AND METHODS MRI scans with UTE T2* cartilage maps were prospectively acquired on eight hips. Hip cartilage was segmented into whole and deep layers in anterosuperior, superior, and posterosuperior regions. Quantitative UTE T2* maps were analyzed (independent one-way ANOVA) and reliability was calculated (ICC). RESULTS UTE T2* mean values (anterosuperior, superior, posterosuperior): full femoral layer (19.55, 18.43, 16.84 ms) (P=0.004), full acetabular layer (19.37, 17.50, 16.73 ms) (P=0.013), deep femoral layer (18.68, 17.90, 15.74 ms) (P=0.010), and deep acetabular layer (17.81, 16.18, 15.31 ms) (P=0.007). Values were higher in anterosuperior compared to posterosuperior regions (mean difference; 95% confidence interval [CI]): full femur layer (2.71 ms; 95% CI 0.91-4.51: P=0.003), deep femur layer (2.94 ms; 95% CI 0.69-5.19; P=0.009), full acetabular layer (2.63 ms 95% CI 0.55-4.72; P=0.012), and deep acetabular layer (2.50 ms; 95% CI 0.69-4.30; P=0.006). Intra-reader (ICC 0.89-0.99) and inter-reader reliability (ICC 0.63-0.96) were good to excellent for the majority of cartilage layers. CONCLUSION UTE T2* cartilage mapping was feasible in the hip with mean values in the range of 16.84-19.55 ms in the femur and 16.73-19.37 ms in the acetabulum. Significantly higher values were present in the anterosuperior region compared to the posterosuperior region.
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Affiliation(s)
- Tony T Wong
- Department of Radiology, Division of Musculoskeletal Radiology, New York Presbyterian Hospital – Columbia University Medical Center, New York, NY, USA
| | | | - Thomas S Lynch
- Department of Orthopedics, The Center for Shoulder, Elbow, and Sports Medicine, New York Presbyterian Hospital – Columbia University Medical Center, New York, NY, USA
| | - Michael J Rasiej
- Department of Radiology, Division of Musculoskeletal Radiology, New York Presbyterian Hospital – Columbia University Medical Center, New York, NY, USA
| | - Diego Jaramillo
- Department of Radiology, Division of Pediatric Radiology, New York Presbyterian Hospital – Columbia University Medical Center, New York, NY, USA
| | - Sachin R Jambawalikar
- Department of Radiology, Division of Physics, New York Presbyterian Hospital – Columbia University Medical Center, New York, NY, USA
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Karakatsani ME, Pouliopoulos AN, Liu M, Jambawalikar SR, Konofagou EE. Contrast-Free Detection of Focused Ultrasound-Induced Blood-Brain Barrier Opening Using Diffusion Tensor Imaging. IEEE Trans Biomed Eng 2021; 68:2499-2508. [PMID: 33360980 DOI: 10.1109/tbme.2020.3047575] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVE Focused ultrasound (FUS) has emerged as a non-invasive technique to locally and reversibly disrupt the blood-brain barrier (BBB). Here, we investigate the use of diffusion tensor imaging (DTI) as a means of detecting FUS-induced BBB opening at the absence of an MRI contrast agent. A non-human primate (NHP) was repeatedly treated with FUS and preformed circulating microbubbles to transiently disrupt the BBB (n = 4). T1- and diffusion-weighted MRI scans were acquired after the ultrasound treatment, with and without gadolinium-based contrast agent, respectively. Both scans were registered with a high-resolution T1-weighted scan of the NHP to investigate signal correlations. DTI detected an increase in fractional anisotropy from 0.21 ± 0.02 to 0.38 ± 0.03 (82.6 ± 5.2% change) within the targeted area one hour after BBB opening. Enhanced DTI contrast overlapped by 77.22 ± 9.2% with hyper-intense areas of gadolinium-enhanced T1-weighted scans, indicating diffusion anisotropy enhancement only within the BBB opening volume. Diffusion was highly anisotropic and unidirectional within the treated brain region, as indicated by the direction of the principal diffusion eigenvectors. Polar and azimuthal angle ranges decreased by 35.6% and 82.4%, respectively, following BBB opening. Evaluation of the detection methodology on a second NHP (n = 1) confirmed the across-animal feasibility of the technique. In conclusion, DTI may be used as a contrast-free MR imaging modality in lieu of contrast-enhanced T1 mapping for detecting BBB opening during focused-ultrasound treatment or evaluating BBB integrity in brain-related pathologies.
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Keenan KE, Gimbutas Z, Dienstfrey A, Stupic KF, Boss MA, Russek SE, Chenevert TL, Prasad PV, Guo J, Reddick WE, Cecil KM, Shukla-Dave A, Aramburu Nunez D, Shridhar Konar A, Liu MZ, Jambawalikar SR, Schwartz LH, Zheng J, Hu P, Jackson EF. Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom. PLoS One 2021; 16:e0252966. [PMID: 34191819 PMCID: PMC8244851 DOI: 10.1371/journal.pone.0252966] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/26/2021] [Indexed: 11/19/2022] Open
Abstract
Recent innovations in quantitative magnetic resonance imaging (MRI) measurement methods have led to improvements in accuracy, repeatability, and acquisition speed, and have prompted renewed interest to reevaluate the medical value of quantitative T1. The purpose of this study was to determine the bias and reproducibility of T1 measurements in a variety of MRI systems with an eye toward assessing the feasibility of applying diagnostic threshold T1 measurement across multiple clinical sites. We used the International Society of Magnetic Resonance in Medicine/National Institute of Standards and Technology (ISMRM/NIST) system phantom to assess variations of T1 measurements, using a slow, reference standard inversion recovery sequence and a rapid, commonly-available variable flip angle sequence, across MRI systems at 1.5 tesla (T) (two vendors, with number of MRI systems n = 9) and 3 T (three vendors, n = 18). We compared the T1 measurements from inversion recovery and variable flip angle scans to ISMRM/NIST phantom reference values using Analysis of Variance (ANOVA) to test for statistical differences between T1 measurements grouped according to MRI scanner manufacturers and/or static field strengths. The inversion recovery method had minor over- and under-estimations compared to the NMR-measured T1 values at both 1.5 T and 3 T. Variable flip angle measurements had substantially greater deviations from the NMR-measured T1 values than the inversion recovery measurements. At 3 T, the measured variable flip angle T1 for one vendor is significantly different than the other two vendors for most of the samples throughout the clinically relevant range of T1. There was no consistent pattern of discrepancy between vendors. We suggest establishing rigorous quality control procedures for validating quantitative MRI methods to promote confidence and stability in associated measurement techniques and to enable translation of diagnostic threshold from the research center to the entire clinical community.
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Affiliation(s)
- Kathryn E. Keenan
- National Institute of Standards and Technology, Boulder, Colorado, United State of America
- * E-mail:
| | - Zydrunas Gimbutas
- National Institute of Standards and Technology, Boulder, Colorado, United State of America
| | - Andrew Dienstfrey
- National Institute of Standards and Technology, Boulder, Colorado, United State of America
| | - Karl F. Stupic
- National Institute of Standards and Technology, Boulder, Colorado, United State of America
| | - Michael A. Boss
- American College of Radiology, Center for Research and Innovation, Philadelphia, Pennsylvania, United State of America
| | - Stephen E. Russek
- National Institute of Standards and Technology, Boulder, Colorado, United State of America
| | | | - P. V. Prasad
- NorthShore University Health System, Evanston, Illinois, United State of America
| | - Junyu Guo
- St. Jude Children’s Research Hospital, Memphis, Tennessee, United State of America
| | - Wilburn E. Reddick
- St. Jude Children’s Research Hospital, Memphis, Tennessee, United State of America
| | - Kim M. Cecil
- Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine Cincinnati, Ohio, United State of America
| | - Amita Shukla-Dave
- Memorial Sloan Kettering Cancer Center, New York, New York, United State of America
| | - David Aramburu Nunez
- Memorial Sloan Kettering Cancer Center, New York, New York, United State of America
| | | | - Michael Z. Liu
- Columbia University Medical Center, New York, New York, United State of America
| | | | | | - Jie Zheng
- Washington University in St. Louis, St. Louis, Missouri, United State of America
| | - Peng Hu
- University of California, Los Angeles, California, United State of America
| | - Edward F. Jackson
- University of Wisconsin, Madison, Wisconsin, United State of America
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Malyarenko DI, Swanson SD, Konar AS, LoCastro E, Paudyal R, Liu MZ, Jambawalikar SR, Schwartz LH, Shukla-Dave A, Chenevert TL. Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom. ACTA ACUST UNITED AC 2020; 5:36-43. [PMID: 30854440 PMCID: PMC6403043 DOI: 10.18383/j.tom.2018.00030] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Quantitative kurtosis phantoms are sought by multicenter clinical trials to establish accuracy and precision of quantitative imaging biomarkers on the basis of diffusion kurtosis imaging (DKI) parameters. We designed and evaluated precision, reproducibility, and long-term stability of a novel isotropic (i)DKI phantom fabricated using four families of chemicals based on vesicular and lamellar mesophases of liquid crystal materials. The constructed iDKI phantoms included negative control monoexponential diffusion materials to independently characterize noise and model-induced bias in quantitative kurtosis parameters. Ten test-retest DKI studies were performed on four scanners at three imaging centers over a six-month period. The tested prototype phantoms exhibited physiologically relevant apparent diffusion, Dapp, and kurtosis, Kapp, parameters ranging between 0.4 and 1.1 (×10-3 mm2/s) and 0.8 and 1.7 (unitless), respectively. Measured kurtosis phantom Kapp exceeded maximum fit model bias (0.1) detected for negative control (zero kurtosis) materials. The material-specific parameter precision [95% CI for Dapp: 0.013-0.022(×10-3 mm2/s) and for Kapp: 0.009-0.076] derived from the test-retest analysis was sufficient to characterize thermal and temporal stability of the prototype DKI phantom through correlation analysis of inter-scan variability. The present study confirms a promising chemical design for stable quantitative DKI phantom based on vesicular mesophase of liquid crystal materials. Improvements to phantom preparation and temperature monitoring procedures have potential to enhance precision and reproducibility for future multicenter iDKI phantom studies.
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Affiliation(s)
- Dariya I Malyarenko
- Department of Radiology, University of Michigan Medical School, Ann Arbor, MI
| | - Scott D Swanson
- Department of Radiology, University of Michigan Medical School, Ann Arbor, MI
| | | | | | | | - Michael Z Liu
- Department of Radiology, Columbia University Irving Medical Center, New York, NY
| | | | - Lawrence H Schwartz
- Department of Radiology, Columbia University Irving Medical Center, New York, NY
| | - Amita Shukla-Dave
- Departments of Medical Physics and.,Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; and
| | - Thomas L Chenevert
- Department of Radiology, University of Michigan Medical School, Ann Arbor, MI
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Farooqi KM, Cooper C, Chelliah A, Saeed O, Chai PJ, Jambawalikar SR, Lipson H, Bacha EA, Einstein AJ, Jorde UP. 3D Printing and Heart Failure: The Present and the Future. JACC Heart Fail 2018; 7:132-142. [PMID: 30553901 DOI: 10.1016/j.jchf.2018.09.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 09/05/2018] [Accepted: 09/20/2018] [Indexed: 02/06/2023]
Abstract
Advanced imaging modalities provide essential anatomic and spatial information in patients with complex heart disease. Two-dimensional imaging can be limited in the extent to which true 3-dimensional (3D) relationships are represented. The application of 3D printing technology has increased the creation of physical models that overcomes the limitations of a 2D screen. Many groups have reported the use of 3D printing for preprocedural planning in patients with different causes of heart failure. This paper reviews the innovative applications of this technique to provide patient-specific models to improve patient care.
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Affiliation(s)
- Kanwal M Farooqi
- Department of Pediatrics, Division of Cardiology, Columbia University Medical Center, New York, New York.
| | - Cathleen Cooper
- Department of Radiology, Columbia University Medical Center, and New York-Presbyterian Hospital, New York, New York
| | - Anjali Chelliah
- Department of Pediatrics, Division of Cardiology, Columbia University Medical Center, New York, New York
| | - Omar Saeed
- Department of Internal Medicine, Division of Cardiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Paul J Chai
- Department of Surgery, Division of Pediatric Cardiothoracic Surgery, Columbia University Medical Center, New York, New York
| | - Sachin R Jambawalikar
- Department of Radiology, Columbia University Medical Center, and New York-Presbyterian Hospital, New York, New York
| | - Hod Lipson
- Department of Mechanical Engineering, Columbia University, New York, New York
| | - Emile A Bacha
- Department of Surgery, Division of Pediatric Cardiothoracic Surgery, Columbia University Medical Center, New York, New York
| | - Andrew J Einstein
- Department of Radiology, Columbia University Medical Center, and New York-Presbyterian Hospital, New York, New York; Department of Medicine, Division of Cardiology, Columbia University Medical Center, New York, New York
| | - Ulrich P Jorde
- Department of Internal Medicine, Division of Cardiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
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Taylor SK, Tran TH, Liu MZ, Harris PE, Sun Y, Jambawalikar SR, Tong L, Stojanovic MN. Insulin Hexamer-Caged Gadolinium Ion as MRI Contrast-o-phore. Chemistry 2018; 24:10646-10652. [PMID: 29873848 DOI: 10.1002/chem.201801388] [Citation(s) in RCA: 2] [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: 03/16/2018] [Indexed: 12/30/2022]
Abstract
High-relaxivity protein-complexes of GdIII are being pursued as MRI contrast agents in hope that they can be used at much lower doses that would minimize toxic-side effects of GdIII release from traditional contrast agents. We construct here a new type of protein-based MRI contrast agent, a proteinaceous cage based on a stable insulin hexamer in which GdIII is captured inside a water filled cavity. The macromolecular structure and the large number of "free" GdIII coordination sites available for water binding lead to exceptionally high relaxivities per one GdIII ion. The GdIII slowly diffuses out of this cage, but this diffusion can be prevented by addition of ligands that bind to the hexamer. The ligands that trigger structural changes in the hexamer, SCN- , Cl- and phenols, modulate relaxivities through an outside-in signaling that is allosterically transduced through the protein cage. Contrast-o-phores based on protein-caged metal ions have potential to become clinical contrast agents with environmentally-sensitive properties.
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Affiliation(s)
- Steven K Taylor
- Department of Medicine, Columbia University, 630 W. 168th St., Box 84, New York, NY, 10032, USA
| | - Timothy H Tran
- Department of Biological Sciences, Columbia University, New York, NY, 10027, USA
| | - Michael Z Liu
- Department of Radiology, Columbia University, 177 Ft Washington Ave, New York, NY, 10032, USA
| | - Paul E Harris
- Department of Medicine, Columbia University, 630 W. 168th St., Box 84, New York, NY, 10032, USA
| | - Yanping Sun
- Irving Comprehensive Cancer Center, Columbia University, 622 W. 168th St., New York, NY, 10032, USA
| | - Sachin R Jambawalikar
- Department of Radiology, Columbia University, 177 Ft Washington Ave, New York, NY, 10032, USA
| | - Liang Tong
- Department of Biological Sciences, Columbia University, New York, NY, 10027, USA
| | - Milan N Stojanovic
- Departments of Medicine, Biomedical Engineering and Systems Biology, Columbia University, 630 W. 168th St., Box 84, New York, NY, 10032, USA
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Taylor SK, Tran TH, Liu MZ, Harris PE, Sun Y, Jambawalikar SR, Tong L, Stojanovic MN. Frontispiece: Insulin Hexamer-Caged Gadolinium Ion as MRI Contrast-o-phore. Chemistry 2018. [DOI: 10.1002/chem.201884265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Steven K. Taylor
- Department of Medicine; Columbia University; 630 W. 168th St., Box 84 New York NY 10032 USA
| | - Timothy H. Tran
- Department of Biological Sciences; Columbia University; New York NY 10027 USA
| | - Michael Z. Liu
- Department of Radiology; Columbia University; 177 Ft Washington Ave New York NY 10032 USA
| | - Paul E. Harris
- Department of Medicine; Columbia University; 630 W. 168th St., Box 84 New York NY 10032 USA
| | - Yanping Sun
- Irving Comprehensive Cancer Center; Columbia University; 622 W. 168th St. New York NY 10032 USA
| | - Sachin R. Jambawalikar
- Department of Radiology; Columbia University; 177 Ft Washington Ave New York NY 10032 USA
| | - Liang Tong
- Department of Biological Sciences; Columbia University; New York NY 10027 USA
| | - Milan N. Stojanovic
- Departments of Medicine, Biomedical Engineering and Systems Biology; Columbia University; 630 W. 168th St., Box 84 New York NY 10032 USA
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Trattner S, Halliburton S, Thompson CM, Xu Y, Chelliah A, Jambawalikar SR, Peng B, Peters MR, Jacobs JE, Ghesani M, Jang JJ, Al-Khalidi H, Einstein AJ. Cardiac-Specific Conversion Factors to Estimate Radiation Effective Dose From Dose-Length Product in Computed Tomography. JACC Cardiovasc Imaging 2018; 11:64-74. [PMID: 28823748 PMCID: PMC5756125 DOI: 10.1016/j.jcmg.2017.06.006] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Revised: 05/26/2017] [Accepted: 06/05/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVES This study sought to determine updated conversion factors (k-factors) that would enable accurate estimation of radiation effective dose (ED) for coronary computed tomography angiography (CTA) and calcium scoring performed on 12 contemporary scanner models and current clinical cardiac protocols and to compare these methods to the standard chest k-factor of 0.014 mSv·mGy-1cm-1. BACKGROUND Accurate estimation of ED from cardiac CT scans is essential to meaningfully compare the benefits and risks of different cardiac imaging strategies and optimize test and protocol selection. Presently, ED from cardiac CT is generally estimated by multiplying a scanner-reported parameter, the dose-length product, by a k-factor which was determined for noncardiac chest CT, using single-slice scanners and a superseded definition of ED. METHODS Metal-oxide-semiconductor field-effect transistor radiation detectors were positioned in organs of anthropomorphic phantoms, which were scanned using all cardiac protocols, 120 clinical protocols in total, on 12 CT scanners representing the spectrum of scanners from 5 manufacturers (GE, Hitachi, Philips, Siemens, Toshiba). Organ doses were determined for each protocol, and ED was calculated as defined in International Commission on Radiological Protection Publication 103. Effective doses and scanner-reported dose-length products were used to determine k-factors for each scanner model and protocol. RESULTS k-Factors averaged 0.026 mSv·mGy-1cm-1 (95% confidence interval: 0.0258 to 0.0266) and ranged between 0.020 and 0.035 mSv·mGy-1cm-1. The standard chest k-factor underestimates ED by an average of 46%, ranging from 30% to 60%, depending on scanner, mode, and tube potential. Factors were higher for prospective axial versus retrospective helical scan modes, calcium scoring versus coronary CTA, and higher (100 to 120 kV) versus lower (80 kV) tube potential and varied among scanner models (range of average k-factors: 0.0229 to 0.0277 mSv·mGy-1cm-1). CONCLUSIONS Cardiac k-factors for all scanners and protocols are considerably higher than the k-factor currently used to estimate ED of cardiac CT studies, suggesting that radiation doses from cardiac CT have been significantly and systematically underestimated. Using cardiac-specific factors can more accurately inform the benefit-risk calculus of cardiac-imaging strategies.
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Affiliation(s)
- Sigal Trattner
- Department of Medicine, Division of Cardiology, Columbia University Medical Center and New York-Presbyterian Hospital,
| | - Sandra Halliburton
- Imaging Institute, Division of Radiology, Cleveland Clinic, Cleveland, OH, Lerner Research Institute, Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, and Department of Chemical and Biomedical Engineering, Cleveland State University, Cleveland, OH, Current affiliation: Philips Healthcare, Cleveland, OH
| | - Carla M. Thompson
- Imaging Institute, Division of Radiology, Cleveland Clinic, Cleveland, OH, Lerner Research Institute, Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, and Department of Chemical and Biomedical Engineering, Cleveland State University, Cleveland, OH, Current affiliation: Vanderbilt University, Nashville, TN
| | - Yanping Xu
- Radiological Research Accelerator Facility (RARAF), Center for Radiological Research, Columbia University Medical Center, Irvington, NY, Current affiliation: Department of Physics, East Carolina University, Greenville, NC
| | - Anjali Chelliah
- Department of Pediatrics, Division of Pediatric Cardiology, Morgan Stanley Children’s Hospital, New York Presbyterian - Columbia University Medical Center, New York, NY,
| | - Sachin R. Jambawalikar
- Department of Radiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, NY,
| | - Boyu Peng
- Department of Radiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, NY,
| | | | - Jill E. Jacobs
- Section of Cardiac Imaging, Department of Radiology, New York University School of Medicine and NYU Langone Medical Center, New York, NY,
| | - Munir Ghesani
- Division of Nuclear Medicine, Department of Radiology, New York University, Langone Medical Center, New York, NY,
| | - James J. Jang
- Division of Cardiology, Kaiser Permanente San Jose Medical Center, San Jose, CA,
| | - Hussein Al-Khalidi
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC,
| | - Andrew J. Einstein
- Department of Medicine, Cardiology Division, and Department of Radiology, Columbia University Medical Center and New York Presbyterian Hospital, New York, NY,
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