The Experts below are selected from a list of 1118112 Experts worldwide ranked by ideXlab platform
Rathan M Subramaniam - One of the best experts on this subject based on the ideXlab platform.
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the value of fdg pet ct in Treatment Response assessment follow up and surveillance of lung cancer
American Journal of Roentgenology, 2017Co-Authors: Sara Sheikhbahaei, Esther Mena, Anusha Yanamadala, Siddaling Reddy, Lilja B Solnes, Jason W Wachsmann, Rathan M SubramaniamAbstract:OBJECTIVE. The purpose of this article is to summarize the evidence regarding the role of FDG PET/CT in Treatment Response assessment and surveillance of lung cancer and to provide suggested best practices. CONCLUSION. FDG PET/CT is a valuable imaging tool for assessing Treatment Response for patients with lung cancer, though evidence for its comparative effectiveness with chest CT is still evolving. FDG PET/CT is most useful when there is clinical suspicion or other evidence for disease recurrence or metastases. The sequencing, cost analysis, and comparative effectiveness of FDG PET/CT and conventional imaging modalities in the follow-up setting need to be investigated.
Sabine Wilhelm - One of the best experts on this subject based on the ideXlab platform.
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empirically defining Treatment Response and remission in body dysmorphic disorder
Psychological Medicine, 2021Co-Authors: Lorena Fernandez De La Cruz, Sabine Wilhelm, Jesper Enander, Christian Ruck, Katharine A Phillips, Gail Steketee, Suraj Sarvode Mothi, Georgina Krebs, Laura Bowyer, Benedetta MonzaniAbstract:Background The number of clinical trials in body dysmorphic disorder (BDD) has steadily increased in recent years. As the number of studies grows, it is important to define the most empirically useful definitions for Response and remission in order to enhance field-wide consistency and comparisons of Treatment outcomes across studies. In this study, we aim to operationally define Treatment Response and remission in BDD. Method We pooled data from three randomized controlled trials of cognitive-behavior therapy (CBT) for BDD (combined n = 153) conducted at four academic sites in Sweden, the USA, and England. Using signal detection methods, we examined the Yale-Brown Obsessive Compulsive Scale modified for BDD (BDD–YBOCS) score that most reliably identified patients who responded to CBT and those who achieved remission from BDD symptoms at the end of Treatment. Results A BDD–YBOCS reduction ⩾30% was most predictive of Treatment Response as defined by the Clinical Global Impression (CGI) – Improvement scale (sensitivity 0.89, specificity 0.91, 91% correctly classified). At post-Treatment, a BDD–YBOCS score ⩽16 was the best predictor of full or partial symptom remission (sensitivity 0.85, specificity 0.99, 97% correctly classified), defined by the CGI – Severity scale. Conclusion Based on these results, we propose conceptual and operational definitions of Response and full or partial remission in BDD. A consensus regarding these constructs will improve the interpretation and comparison of future clinical trials, as well as improve communication among researchers, clinicians, and patients. Further research is needed, especially regarding definitions of full remission, recovery, and relapse.
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benchmarking Treatment Response in tourette s disorder a psychometric evaluation and signal detection analysis of the parent tic questionnaire
Behavior Therapy, 2017Co-Authors: Emily J Ricketts, Lawrence Scahill, Douglas W Woods, Joseph F Mcguire, Susanna Chang, Deepika Bose, Madeline Rasch, Matthew W Specht, John T Walkup, Sabine WilhelmAbstract:Abstract This study assessed the psychometric properties of a parent-reported tic severity measure, the Parent Tic Questionnaire (PTQ), and used the scale to establish guidelines for delineating clinically significant tic Treatment Response. Participants were 126 children ages 9 to 17 who participated in a randomized controlled trial of Comprehensive Behavioral Intervention for Tics (CBIT). Tic severity was assessed using the Yale Global Tic Severity Scale (YGTSS), Hopkins Motor/Vocal Tic Scale (HMVTS) and PTQ; positive Treatment Response was defined by a score of 1 ( very much improved ) or 2 ( much improved ) on the Clinical Global Impressions – Improvement (CGI-I) scale. Cronbach’s alpha and intraclass correlations (ICC) assessed internal consistency and test-retest reliability, with correlations evaluating validity. Receiver- and Quality-Receiver Operating Characteristic analyses assessed the efficiency of percent and raw-reduction cutoffs associated with positive Treatment Response. The PTQ demonstrated good internal consistency (α = 0.80 to 0.86), excellent test-retest reliability (ICC = .84 to .89), good convergent validity with the YGTSS and HM/VTS, and good discriminant validity from hyperactive, obsessive-compulsive, and externalizing (i.e., aggression and rule-breaking) symptoms. A 55% reduction and 10-point decrease in PTQ Total score were optimal for defining positive Treatment Response. Findings help standardize tic assessment and provide clinicians with greater clarity in determining clinically meaningful tic symptom change during Treatment.
Joel R Sneed - One of the best experts on this subject based on the ideXlab platform.
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executive dysfunction and Treatment Response in late life depression
International Journal of Geriatric Psychiatry, 2012Co-Authors: Monique A Pimontel, Michelle E Culangreinlieb, Sarah Shizuko Morimoto, Joel R SneedAbstract:Objectives Executive dysfunction in geriatric depression has been shown to predict poor Response to antidepressant medication. The purpose of this review is to clarify which aspects of executive functioning predict poor antidepressant Treatment Response. Methods Literature review. Results From our review, the aspects of executive functioning that appear to be associated with antidepressant Response rates are verbal fluency and Response inhibition. There is some indication that the semantic strategy component may account for the effects of verbal fluency, although evidence comes from one study and needs replication. Processing speed has been proposed as a substrate that may underlie the effects of executive dysfunction on Treatment Response. Although processing speed does not appear to account for the relationship between Response inhibition and Treatment outcome, this issue has yet to be assessed with respect to verbal fluency. Conclusions Verbal fluency and Response inhibition are specific aspects of executive dysfunction that appear to impact antidepressant Response rates. Disruption of the frontostriatal limbic circuit (particularly the anterior cingulate and dorsolateral prefrontal cortex) may explain the relation between these two mechanisms. Copyright © 2011 John Wiley & Sons, Ltd.
Howard J Aizenstein - One of the best experts on this subject based on the ideXlab platform.
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Resting state functional connectivity and Treatment Response in late-life depression
Psychiatry Research-neuroimaging, 2013Co-Authors: Carmen Andreescu, Dana L Tudorascu, Meryl A Butters, Erica Tamburo, Meenal J Patel, Julie C Price, Jordan F Karp, Charles F Reynolds, Howard J AizensteinAbstract:Indices of functional connectivity in the default mode network (DMN) are promising neural markers of Treatment Response in late-life depression. We examined the differences in DMN functional connectivity between Treatment-responsive and Treatment-resistant depressed older adults. Forty-seven depressed older adults underwent MRI scanning pre- and post- pharmacotherapy. Forty-six never depressed older adults underwent MR scanning as comparison subjects. Treatment Response was defined as achieving a Hamilton Depression Rating Scale of 10 or less post-Treatment. We analyzed resting state functional connectivity using the posterior cingulate cortex as the seed region-of-interest. The resulting correlation maps were employed to investigate between-group differences. Additionally we examined the association between white matter hyperintensity burden and functional connectivity results. Comparison of pre- and post-Treatment scans of depressed participants revealed greater post-Treatment functional connectivity in the frontal precentral gyrus. Relative to Treatment-responsive participants, Treatment-resistant participants had increased functional connectivity in the left striatum. When adjusting for white matter hyperintensity burden, the observed differences lost significance for the PCC-prefrontal functional connectivity, but not for the PCC-striatum functional connectivity. The post-Treatment “frontalization” of the DMN connectivity suggests a normalizing effect of antidepressant Treatment. Moreover, our study confirms the central role of white matter lesions in disrupting brain functional connectivity.
Moria J Smoski - One of the best experts on this subject based on the ideXlab platform.
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a systematic review of relations between resting state functional mri and Treatment Response in major depressive disorder
Journal of Affective Disorders, 2015Co-Authors: Gabriel S Dichter, Devin Gibbs, Moria J SmoskiAbstract:Abstract Background Resting-state functional magnetic resonance imaging (fMRI) is a promising predictor of Treatment Response in major depressive disorder (MDD). Methods A search for papers published in English was conducted using PubMed with the following words: depression, Treatment, resting-state, connectivity, and fMRI. Findings from 21 studies of relations between resting-state fMRI and Treatment Response in MDD are presented, and common findings and themes are discussed. Results The use of resting-state fMRI in research on MDD Treatment Response has yielded a number of consistent findings that provide a basis for understanding the potential mechanisms of action of antidepressant Treatment Response. These included (1) associations between Response to antidepressant medications and increased functional connectivity between frontal and limbic brain regions, possibly resulting in greater inhibitory control over neural circuits that process emotions; (2) connectivity of visual recognition circuits in studies that compared Treatment resistant and Treatment sensitive patients; (3) Response to TMS was consistently predicted by subcallosal cortex connectivity; and (4) hyperconnectivity of the default mode network and hypoconnectivity of the cognitive control network differentiated Treatment-resistant from Treatment-sensitive MDD patients. Limitations There was also considerable variability between studies with respect to study designs and analytic strategies that made direct comparisons across all studies difficult. Conclusions Continued standardization of study designs and analytic strategies as well as aggregation of larger datasets will allow the field to better elucidate the potential mechanisms of action of Treatment Response in patients with MDD to ultimately generate algorithms to predict which patients will respond to which antidepressant Treatments.