Gil Newburn
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Gil Newburn has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Daniel M. Cornfeld
Mātai Medical Research Institute, Gisborne, New Zealand
3 shared publications - Eryn Kwon
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
3 shared publications - Graeme M. Bydder
Mātai Medical Research Institute, Gisborne, New Zealand
3 shared publications - Miriam Scadeng
Faculty of Medical and Health Sciences The University of Auckland Auckland New Zealand
3 shared publications - Paul Condron
Mātai Medical Research Institute
3 shared publications - Samantha Jane Holdsworth
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
3 shared publications
Latest Publications
- 16 December 2025
- Published by Springer Nature in Neuroradiology
- Vol. 68 (1) , 263-276
Ultra-high contrast MRI: a new technique for recognizing secondary changes to the brain in patients with persistent symptoms following traumatic brain injury
Background Management of patients with persistent or worsening symptoms following traumatic brain injury (TBI) presents difficulties. MRI is usually negative in mild TBI (mTBI) and usually only shows residual quiescent disease in moderate to severe TBI (msTBI). Objective We hypothesize that patients with persistent symptoms from prior TBI will show findings on a divided Subtracted Inversion Recovery (dSIR) sequence that are sensitive to small changes from normal in white matter T1. Materials and methods Neurologically healthy controls (n = 37) and patients with persistent symptoms following TBI (n = 29) were examined with T2-FLAIR and dSIR sequences. T2-FLAIR images were evaluated for minor changes and overt pathology. dSIR images were evaluated for “whiteout signs” defined as widespread, bilateral, and symmetrical high signal in white matter. Odds ratios were calculated for the association between the presence of a whiteout sign and being in the symptomatic group. Results Overt pathology was seen on the T2-FLAIR images in six msTBI patients and one mTBI patient. No widespread changes were seen on the T2-FLAIR images in the control or TBI groups. Whiteout signs were seen on the dSIR images in 25 of 29 TBI patients and in three of 37 controls. The whiteout sign was strongly associated with symptomatic TBI status, with odds ratios ≥ 14. The kappa statistic for inter-reader correlation (whiteout sign vs. no whiteout sign) was κ = 0.85. Conclusion The whiteout sign was strongly associated with being in the symptomatic group and is a potential biomarker for recognition of secondary changes to the brain in patients with persistent symptoms following TBI.
- 16 December 2025
- Published by Springer Nature in Neuroradiology
- Vol. 68 (1) , 263-276
Ultra-high contrast MRI: a new technique for recognizing secondary changes to the brain in patients with persistent symptoms following traumatic brain injury
Background Management of patients with persistent or worsening symptoms following traumatic brain injury (TBI) presents difficulties. MRI is usually negative in mild TBI (mTBI) and usually only shows residual quiescent disease in moderate to severe TBI (msTBI). Objective We hypothesize that patients with persistent symptoms from prior TBI will show findings on a divided Subtracted Inversion Recovery (dSIR) sequence that are sensitive to small changes from normal in white matter T1. Materials and methods Neurologically healthy controls (n = 37) and patients with persistent symptoms following TBI (n = 29) were examined with T2-FLAIR and dSIR sequences. T2-FLAIR images were evaluated for minor changes and overt pathology. dSIR images were evaluated for “whiteout signs” defined as widespread, bilateral, and symmetrical high signal in white matter. Odds ratios were calculated for the association between the presence of a whiteout sign and being in the symptomatic group. Results Overt pathology was seen on the T2-FLAIR images in six msTBI patients and one mTBI patient. No widespread changes were seen on the T2-FLAIR images in the control or TBI groups. Whiteout signs were seen on the dSIR images in 25 of 29 TBI patients and in three of 37 controls. The whiteout sign was strongly associated with symptomatic TBI status, with odds ratios ≥ 14. The kappa statistic for inter-reader correlation (whiteout sign vs. no whiteout sign) was κ = 0.85. Conclusion The whiteout sign was strongly associated with being in the symptomatic group and is a potential biomarker for recognition of secondary changes to the brain in patients with persistent symptoms following TBI.
- Open Access
- 30 January 2025
- Published by MDPI AG in Diagnostics
- Vol. 15 (3) , 329
Ultra-High Contrast (UHC) MRI of the Brain, Spinal Cord and Optic Nerves in Multiple Sclerosis Using Directly Acquired and Synthetic Bipolar Filter (BLAIR) Images
In this educational review, the basic physics underlying the use of ultra-high contrast (UHC) bipolar filter (BLAIR) sequences, including divided subtracted inversion recovery (dSIR), is explained. These sequences can increase the contrast produced by small changes in T1 by a factor of ten or more compared with conventional IR sequences. In illustrative cases, the sequences were used in multiple sclerosis (MS) patients during relapse and remission and were compared with positionally matched conventional (T2-weighted spin echo, T2-FLAIR) images. Well-defined focal lesions were seen with dSIR sequences in areas where little or no change was seen with conventional sequences. In addition, widespread abnormalities affecting almost all of the white matter of the brain were seen during relapses when there were no corresponding abnormalities seen on conventional sequences (the whiteout sign). Grayout signs, in which there is a loss of contrast in gray matter or between gray matter and CSF, were also seen, as well as high signal boundaries around lesions. Disruption of the usual high signal boundary between white and gray matter was seen in leucocortical lesions. Lesions in the spinal cord were better seen or only seen with dSIR sequences. Generalized change was observed in the optic nerve with the dSIR sequence in a case of optic neuritis. UHC BLAIR sequences may be of considerable value for recognition of abnormalities in clinical practice and in research studies on MS.
- 30 January 2025
- Published by MDPI AG in Diagnostics
- Vol. 15 (3) , 329
Open AccessUltra-High Contrast (UHC) MRI of the Brain, Spinal Cord and Optic Nerves in Multiple Sclerosis Using Directly Acquired and Synthetic Bipolar Filter (BLAIR) Images
In this educational review, the basic physics underlying the use of ultra-high contrast (UHC) bipolar filter (BLAIR) sequences, including divided subtracted inversion recovery (dSIR), is explained. These sequences can increase the contrast produced by small changes in T1 by a factor of ten or more compared with conventional IR sequences. In illustrative cases, the sequences were used in multiple sclerosis (MS) patients during relapse and remission and were compared with positionally matched conventional (T2-weighted spin echo, T2-FLAIR) images. Well-defined focal lesions were seen with dSIR sequences in areas where little or no change was seen with conventional sequences. In addition, widespread abnormalities affecting almost all of the white matter of the brain were seen during relapses when there were no corresponding abnormalities seen on conventional sequences (the whiteout sign). Grayout signs, in which there is a loss of contrast in gray matter or between gray matter and CSF, were also seen, as well as high signal boundaries around lesions. Disruption of the usual high signal boundary between white and gray matter was seen in leucocortical lesions. Lesions in the spinal cord were better seen or only seen with dSIR sequences. Generalized change was observed in the optic nerve with the dSIR sequence in a case of optic neuritis. UHC BLAIR sequences may be of considerable value for recognition of abnormalities in clinical practice and in research studies on MS.
- 16 January 2025
- Published by Elsevier in Magnetic Resonance Imaging
- Vol. 117, 110328
Log subtracted inversion recovery
- 16 January 2025
- Published by Elsevier in Magnetic Resonance Imaging
- Vol. 117, 110328
Log subtracted inversion recovery