Abstract |
In the community, there is a need to more objectively evaluate the response of common chronic psychiatric disorders to treatment. Brain single photon emission computed tomography (SPECT) indirectly measures cerebral functional activity by uptake of a radiotracer, which follows regional cerebral blood flow. Brain 3D Thresholded SPECT scans are thresholded three dimensional images derived from brain SPECT data. A retrospective community study of longitudinal (before and after treatment) brain 3D Thresholded SPECT scans of 73 patients with all-cause psychiatric disorders (most frequent diagnostic clusters: attention-deficit hyperactivity disorder, post- mild traumatic brain injury, affective disorders, psychotic disorders, post-viral chronic syndromes), shows these baseline SPECT scans predict improvement (non-worsening to large improvement) in clinical functioning with a sensitivity of 94% (95% confidence interval 86-98%) and a specificity of 67% (95% confidence interval 21-94%). In contrast, contemporaneous analysis by the same radiologist of conventional 2D reading of the same before and after treatment brain SPECT scan data of the same 73 patients, predicted improvement (non-worsening to large improvement) in clinical functioning with a sensitivity of only 26% (95% confidence interval 17-37%) although with a specificity of 100% (95% confidence interval 44-100%). These data suggest 3D Thresholded SPECT scans can provide the clinician with a more objective measure for verifying improvement in psychiatric disorders seen in the community, consistent with prior studies of SPECT as a measure of neurobiological change. Furthermore, these data suggest 3D Thresholded SPECT scans may have clinical application in guiding treatment and potentially improving outcomes.
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Authors | John F Thornton, Howard Schneider, Philip F Cohen, Simon DeBruin, John Michael Uszler, Yin-Hui Siow, Mary K McLean, Muriel J van Lierop, Dan G Pavel, Theodore A Henderson |
Journal | Frontiers in psychiatry
(Front Psychiatry)
Vol. 13
Pg. 787186
( 2022)
ISSN: 1664-0640 [Print] Switzerland |
PMID | 35401270
(Publication Type: Journal Article)
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Copyright | Copyright © 2022 Thornton, Schneider, Cohen, DeBruin, Uszler, Siow, McLean, van Lierop, Pavel and Henderson. |