The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Decreased apparent diffusion coefficient in the pituitary and correlation with hypopituitarism in patients with traumatic brain injury
Abstract
OBJECT: The relationship between microstructural abnormality in patients with traumatic brain injury (TBI) and hormone-secreting status remains unknown. In this study, the authors aimed to identify the role of the apparent diffusion coefficient (ADC) using a diffusion-weighted imaging (DWI) technique and to evaluate the association of such changes with hypopituitarism in patients with TBI. METHODS: Diffusion-weighted images were obtained in 164 consecutive patients with TBI within 2 weeks after injury to generate the pituitary ADC as a measure of microstructural change. Patients with TBI were further grouped into those with and those without hypopituitarism based on the secretion status of pituitary hormones at 6 months postinjury. Thirty healthy individuals were enrolled in the study and underwent MRI examinations for comparison. Mean ADC values were compared between this control group, the patients with TBI and hypopituitarism, and the patients with TBI without hypopituitarism; correlational studies were also performed. Neurological outcome was assessed with the Glasgow Outcome Scale (GOS) for all TBI patients 6 months postinjury. RESULTS: In the TBI group, 84 patients had hypopituitarism and 80 had normal pituitary function. The pituitary ADC in TBI patients was significantly less than that in controls (1.83 ± 0.16 vs 4.13 ± 0.33, p < 0.01). Furthermore, the mean ADC was much lower in TBI patients with hypopituitarism than in those without pituitary dysfunction (1.32 ± 0.09 vs 2.28 ± 0.17, p < 0.05). There was also a significant difference in ADC values between patients with hyperprolactinemia and those with normal prolactin levels (p < 0.05). Additionally, the receiver operating characteristic curve analysis showed that the pituitary ADC could predict hypopituitarism with a sensitivity of 90.0% and a specificity of 90.1% at the level of 1.720 (ADC value). Finally, the ADC value was positively correlated with neurological outcome at 6 months following TBI (r = 0.602, p < 0.05). CONCLUSIONS: Use of DWI demonstrated that the pituitary ADC is correlated with hormone-secreting status in TBI patients. The authors suggest that pituitary ADC may be a useful biomarker to predict pituitary function in patients with TBI.
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The Epidemiology and Impact of Traumatic Brain Injury: A Brief Overview
Langlois, J. A., Rutland-Brown, W., & Wald, M. M. (2006) · Journal of Head Trauma Rehabilitation · doi:10.1097/00001199-200609000-00001 · Cited by 3,643
Mac Donald, C. L., Dikranian, K., Bayly, P., Holtzman, D., & Brody, D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3647-07.2007 · Cited by 435
Persistent cognitive dysfunction after traumatic brain injury: A dopamine hypothesis
Bales, J. W., Wagner, A. K., Kline, A. E., & Dixon, C. E. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.03.011 · Cited by 264
Diffusion-Weighted Imaging for the Evaluation of Diffuse Axonal Injury in Closed Head Injury
Huisman, T. A. G. M., Sorensen, A. G., Hergan, K., González, R. G., & Schaefer, P. W. (2003) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200301000-00002 · Cited by 248
Traumatic brain injury: diffusion-weighted MR imaging findings.
Liu, A. Y., Maldjian, J. A., Bagley, L. J., Sinson, G. P., & Grossman, R. I. (1999) · PubMed · Cited by 219
Acute Serum Hormone Levels: Characterization and Prognosis after Severe Traumatic Brain Injury
Wagner, A. K., McCullough, E. H., Niyonkuru, C., Ozawa, H., Loucks, T. L., Dobos, J. A., Brett, C. A., Santarsieri, M., Dixon, C. E., Berga, S. L., et al. (2011) · Journal of Neurotrauma · doi:10.1089/neu.2010.1586 · Cited by 172
Nicoli, F., Fur, Y. L., Denis, B., Ranjeva, J., Sylviane Confort-gouny, A., & Cozzone, P. J. (2003) · Stroke · doi:10.1161/01.str.0000078659.43423.0a · Cited by 116
Krahulik, D., Zapletalova, J., Frysak, Z., & Vaverka, M. (2010) · Journal of Neurosurgery · doi:10.3171/2009.10.jns09930 · Cited by 108
Histologic study of the human pituitary gland in acute traumatic brain injury
Salehi, F., Kovacs, K., Scheithauer, B. W., Pfeifer, E. A., & Cusimano, M. (2007) · Brain Injury · doi:10.1080/02699050701426956 · Cited by 96
Magnetic resonance imaging changes in the pituitary gland following acute traumatic brain injury
Maiya, B., Newcombe, V., Nortje, J., Bradley, P., Bernard, F., Chatfield, D., Outtrim, J., Hutchinson, P., Matta, B., Antoun, N., et al. (2008) · Intensive Care Medicine · doi:10.1007/s00134-007-0902-x · Cited by 91
Health Care Costs Associated with Traumatic Brain Injury and Psychiatric Illness in Adults
Rockhill, C., Jaffe, K. M., Zhou, C., Fan, M.-Y., Katon, W. J., & Fann, J. R. (2011) · Journal of Neurotrauma · doi:10.1089/neu.2010.1562 · Cited by 88
Wada, T., Asano, Y., & Shinoda, J. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3141 · Cited by 86
Psychiatric disturbances after traumatic brain injury: Neurobehavioral and personality changes
Warriner, E. M., & Velikonja, D. (2006) · Current Psychiatry Reports · doi:10.1007/s11920-006-0083-2 · Cited by 81
Goetz, P., Blamire, A. M., Rajagopalan, B., Cadoux-Hudson, T. A. D., Young, D., & Styles, P. (2004) · Journal of Neurotrauma · doi:10.1089/0897715041269731 · Cited by 72
Fiehler, J., Knab, R., Reichenbach, J. R., Fitzek, C., Weiller, C., & Röther, J. (2001) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-200105000-00012 · Cited by 64
Wilde, E. A., Ayoub, K. W., Bigler, E. D., Chu, Z. D., Hunter, J. V., Wu, T. C., McCauley, S. R., & Levin, H. S. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9150-y · Cited by 63
Anterior Pituitary Hormone Abnormalities following Traumatic Brain Injury
Schneider, M., Schneider, H. J., & Stalla, G. K. (2005) · Journal of Neurotrauma · doi:10.1089/neu.2005.22.937 · Cited by 61
Lasting pituitary hormone deficiency after traumatic brain injury
Moreau, O. K., Yollin, E., Merlen, E., Daveluy, W., & Rousseaux, M. (2012) · Journal of Neurotrauma · doi:10.1089/neu.2011.2048 · Cited by 59
Jeong, J. H., Kim, Y. Z., Cho, Y. W., & Kim, J. S. (2010) · Journal of Neurosurgery · doi:10.3171/2009.10.jns091152 · Cited by 32
Analysis of pituitary lesions in fatal closed head injury
Kibayashi, K., Shimada, R., Nakao, K.-I., & Ro, A. (2012) · The American Journal of Forensic Medicine and Pathology · doi:10.1097/paf.0b013e3181fe33e8 · Cited by 17
Diabetes insipidus arising from hypothalamic diffuse axonal injury
Song, J. K., Eskridge, J. M., Niakan, C., & Winn, H. R. (1999) · Journal of neurosurgery · doi:10.3171/jns.1999.90.6.1141 · Cited by 7
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Metadata
- Authors
- Zheng, P., He, B., Guo, Y., Zeng, J., & Tong, W.
- Affiliations
- Pudong New Area People's Hospital (CN)
- Venue
- Journal of Neurosurgery
- Published
- 2015-07
- Volume
- 123
- Issue
- 1
- Pages
- 75-80
- ISSN
- 0022-3085 (ISSN-L)
- 1933-0693
- OpenAlex
- W2003802121
- Semantic Scholar
- 30e27b84635fc9e46e6810d8a79081d471a1ee0f
- Cited by
- 16
- References
- 21
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 3 · 2018: 1 · 2017: 3 · 2016: 2 · 2015: 1
- FWCI
- 1.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of neurosurgery (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pituitary Gland Disorders and Treatments
- Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury and Neurovascular Disturbances
- Keywords
- traumatic brain injury, hypopituitarism, pituitary gland, apparent diffusion coefficient, diffusion-weighted imaging, microstructural damage, hyperprolactinemia, pituitary hormone secretion, neurological outcome, prognosis, MRI biomarkers, Glasgow Outcome Scale, pituitary MRI, prognostic value, ROC curve
- MeSH terms
- Adolescent, Adult, Aged, Brain, Brain Injuries, Female, Humans, Hypopituitarism, Male, Middle Aged, Pituitary Gland, Pituitary Hormones, Prolactin, Prospective Studies, Sensitivity and Specificity, Case-Control Studies, Diffusion Magnetic Resonance Imaging, Young Adult
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