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Anjali Sankar, Tianhao Zhang, Bilwaj Gaonkar, Jimit Doshi, Guray Erus, Sergi G Costafreda, Lauren Marangell, Christos Davatzikos, Cynthia H Y Fu
BACKGROUND: At present, we do not have any biological tests which can contribute towards a diagnosis of depression. Neuroimaging measures have shown some potential as biomarkers for diagnosis. However, participants have generally been from the same ethnic background while the applicability of a biomarker would require replication in individuals of diverse ethnicities. AIMS: We sought to examine the diagnostic potential of the structural neuroanatomy of depression in a sample of a wide ethnic diversity...
July 2016: BJPsych Open
Benjamin M Kandel, Brian B Avants, James C Gee, Corey T McMillan, Guray Erus, Jimit Doshi, Christos Davatzikos, David A Wolk
INTRODUCTION: Cognitive tests and nonamyloid imaging biomarkers do not consistently identify preclinical AD. The objective of this study was to evaluate whether white matter hyperintensity (WMH) volume, a cerebrovascular disease marker, is more associated with preclinical AD than conventional AD biomarkers and cognitive tests. METHODS: Elderly controls enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI, n = 158) underwent florbetapir-PET scans, psychometric testing, neuroimaging with MRI and PET, and APOE genetic testing...
2016: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Ning Li, Lizhou Dou, Yueming Zhang, Jing Jin, Guiqi Wang, Qin Xiao, Yexiong Li, Xin Wang, Hua Ren, Hui Fang, Weihu Wang, Shulian Wang, Yueping Liu, Yongwen Song
BACKGROUND AND AIMS: Accurate prediction of the response to preoperative chemo-radiotherapy (CRT) potentially assists in the individualized selection of treatment. Endorectal ultrasonography (ERUS) is widely used for the pre-treatment staging of rectal cancer, but its use for preoperatively predicting the effects of CRT is not well evaluated, due to the inflammation, necrosis and fibrosis induced by CRT. This study was to assess the value of sequential ERUS in predicting the efficacy of preoperative CRT for locally advanced rectal cancer...
June 25, 2016: Gastrointestinal Endoscopy
Yi Wang
Assessment of lymph node status in patients with rectal cancer is important before operation and neoadjuvant treatment because it has an influence on definition of operative plan, strategy of chemoradiotherapy and prognosis of the patients with rectal cancer. The imaging modalities that can be used to assess lymph node status include magnetic resonance imaging (MRI), endorectal ultrasonography (ERUS), multi-row detector computer tomography (MDCT), and PET-CT. The existing imaging criteria for metastatic lymph nodes in rectal cancer have not been reached...
June 2016: Zhonghua Wei Chang Wai Ke za Zhi, Chinese Journal of Gastrointestinal Surgery
Justin W Collins, Hiten Patel, Christofer Adding, Magnus Annerstedt, Prokar Dasgupta, Shamim M Khan, Walter Artibani, Richard Gaston, Thierry Piechaud, James W Catto, Anthony Koupparis, Edward Rowe, Matthew Perry, Rami Issa, John McGrath, John Kelly, Martin Schumacher, Carl Wijburg, Abdullah E Canda, Meviana D Balbay, Karel Decaestecker, Christian Schwentner, Arnulf Stenzl, Sebastian Edeling, Sasa Pokupić, Michael Stockle, Stefan Siemer, Rafael Sanchez-Salas, Xavier Cathelineau, Robin Weston, Mark Johnson, Fredrik D'Hondt, Alexander Mottrie, Abolfazl Hosseini, Peter N Wiklund
CONTEXT: Radical cystectomy (RC) is associated with frequent morbidity and prolonged length of stay (LOS) irrespective of surgical approach. Increasing evidence from colorectal surgery indicates that minimally invasive surgery and enhanced recovery programmes (ERPs) can reduce surgical morbidity and LOS. ERPs are now recognised as an important component of surgical management for RC. However, there is comparatively little evidence for ERPs after robot-assisted radical cystectomy (RARC)...
May 24, 2016: European Urology
Mark A Espeland, Kirk Erickson, Rebecca H Neiberg, John M Jakicic, Thomas A Wadden, Rena R Wing, Lisa Desiderio, Guray Erus, Meng-Kang Hsieh, Christos Davatzikos, Barbara J Maschak-Carey, Paul J Laurienti, Kathryn Demos-McDermott, R Nick Bryan
OBJECTIVE: Type 2 diabetes increases the accumulation of brain white matter hyperintensities and loss of brain tissue. Behavioral interventions to promote weight loss through dietary changes and increased physical activity may delay these adverse consequences. We assessed whether participation in a successful 10-year lifestyle intervention was associated with better profiles of brain structure. RESEARCH DESIGN AND METHODS: At enrollment in the Action for Health in Diabetes clinical trial, participants had type 2 diabetes, were overweight or obese, and were aged 45-76 years...
May 2016: Diabetes Care
M Habes, J B Toledo, S M Resnick, J Doshi, S Van der Auwera, G Erus, D Janowitz, K Hegenscheid, G Homuth, H Völzke, W Hoffmann, H J Grabe, C Davatzikos
BACKGROUND AND PURPOSE: The presence of the apolipoprotein E ε4 allele is the strongest sporadic Alzheimer disease genetic risk factor. We hypothesized that apolipoprotein E ε4 carriers and noncarriers may already differ in imaging patterns in midlife. We therefore sought to identify the effect of apolipoprotein E genotype on brain atrophy across almost the entire adult age span by using advanced MR imaging-based pattern analysis. MATERIALS AND METHODS: We analyzed MR imaging scans of 1472 participants from the Study of Health in Pomerania (22-90 years of age)...
September 2016: AJNR. American Journal of Neuroradiology
Katia F Guenaga, Jose P Otoch, Everson L A Artifon
New surgical techniques in the treatment of rectal cancer have improved survival mainly by reducing local recurrences. A preoperative staging method is required to accurately identify tumor stage and planning the appropriate treatment. MRI and ERUS are currently being used for the local staging (T stage). In this review, the accuracy of MRI and ERUS with rigid probe was compared against the gold standard of the pathological findings in the resection specimens. Five studies met the inclusion criteria and were included in this meta-analysis...
January 2016: Revista de Gastroenterología del Perú: órgano Oficial de la Sociedad de Gastroenterología del Perú
Genevera I Allen, Nicola Amoroso, Catalina Anghel, Venkat Balagurusamy, Christopher J Bare, Derek Beaton, Roberto Bellotti, David A Bennett, Kevin L Boehme, Paul C Boutros, Laura Caberlotto, Cristian Caloian, Frederick Campbell, Elias Chaibub Neto, Yu-Chuan Chang, Beibei Chen, Chien-Yu Chen, Ting-Ying Chien, Tim Clark, Sudeshna Das, Christos Davatzikos, Jieyao Deng, Donna Dillenberger, Richard J B Dobson, Qilin Dong, Jimit Doshi, Denise Duma, Rosangela Errico, Guray Erus, Evan Everett, David W Fardo, Stephen H Friend, Holger Fröhlich, Jessica Gan, Peter St George-Hyslop, Satrajit S Ghosh, Enrico Glaab, Robert C Green, Yuanfang Guan, Ming-Yi Hong, Chao Huang, Jinseub Hwang, Joseph Ibrahim, Paolo Inglese, Anandhi Iyappan, Qijia Jiang, Yuriko Katsumata, John S K Kauwe, Arno Klein, Dehan Kong, Roland Krause, Emilie Lalonde, Mario Lauria, Eunjee Lee, Xihui Lin, Zhandong Liu, Julie Livingstone, Benjamin A Logsdon, Simon Lovestone, Tsung-Wei Ma, Ashutosh Malhotra, Lara M Mangravite, Taylor J Maxwell, Emily Merrill, John Nagorski, Aishwarya Namasivayam, Manjari Narayan, Mufassra Naz, Stephen J Newhouse, Thea C Norman, Ramil N Nurtdinov, Yen-Jen Oyang, Yudi Pawitan, Shengwen Peng, Mette A Peters, Stephen R Piccolo, Paurush Praveen, Corrado Priami, Veronica Y Sabelnykova, Philipp Senger, Xia Shen, Andrew Simmons, Aristeidis Sotiras, Gustavo Stolovitzky, Sabina Tangaro, Andrea Tateo, Yi-An Tung, Nicholas J Tustison, Erdem Varol, George Vradenburg, Michael W Weiner, Guanghua Xiao, Lei Xie, Yang Xie, Jia Xu, Hojin Yang, Xiaowei Zhan, Yunyun Zhou, Fan Zhu, Hongtu Zhu, Shanfeng Zhu
Identifying accurate biomarkers of cognitive decline is essential for advancing early diagnosis and prevention therapies in Alzheimer's disease. The Alzheimer's disease DREAM Challenge was designed as a computational crowdsourced project to benchmark the current state-of-the-art in predicting cognitive outcomes in Alzheimer's disease based on high dimensional, publicly available genetic and structural imaging data. This meta-analysis failed to identify a meaningful predictor developed from either data modality, suggesting that alternate approaches should be considered for prediction of cognitive performance...
June 2016: Alzheimer's & Dementia: the Journal of the Alzheimer's Association
Ke Zeng, Guray Erus, Aristeidis Sotiras, Russell T Shinohara, Christos Davatzikos
We present a generic method for automatic detection of abnormal regions in medical images as deviations from a normative data base. The algorithm decomposes an image, or more broadly a function defined on the image grid, into the superposition of a normal part and a residual term. A statistical model is constructed with regional sparse learning to represent normative anatomical variations among a reference population (e.g., healthy controls), in conjunction with a Markov random field regularization that ensures mutual consistency of the regional learning among partially overlapping image blocks...
August 2016: IEEE Transactions on Medical Imaging
M Habes, D Janowitz, G Erus, J B Toledo, S M Resnick, J Doshi, S Van der Auwera, K Wittfeld, K Hegenscheid, N Hosten, R Biffar, G Homuth, H Völzke, H J Grabe, W Hoffmann, C Davatzikos
We systematically compared structural imaging patterns of advanced brain aging (ABA) in the general-population, herein defined as significant deviation from typical BA to those found in Alzheimer disease (AD). The hypothesis that ABA would show different patterns of structural change compared with those found in AD was tested via advanced pattern analysis methods. In particular, magnetic resonance images of 2705 participants from the Study of Health in Pomerania (aged 20-90 years) were analyzed using an index that captures aging atrophy patterns (Spatial Pattern of Atrophy for Recognition of BA (SPARE-BA)), and an index previously shown to capture atrophy patterns found in clinical AD (Spatial Patterns of Abnormality for Recognition of Early Alzheimer's Disease (SPARE-AD))...
2016: Translational Psychiatry
Theodore D Satterthwaite, Daniel H Wolf, Monica E Calkins, Simon N Vandekar, Guray Erus, Kosha Ruparel, David R Roalf, Kristin A Linn, Mark A Elliott, Tyler M Moore, Hakon Hakonarson, Russell T Shinohara, Christos Davatzikos, Ruben C Gur, Raquel E Gur
IMPORTANCE: Structural brain abnormalities are prominent in psychotic disorders, including schizophrenia. However, it is unclear when aberrations emerge in the disease process and if such deficits are present in association with less severe psychosis spectrum (PS) symptoms in youth. OBJECTIVE: To investigate the presence of structural brain abnormalities in youth with PS symptoms. DESIGN, SETTING, AND PARTICIPANTS: The Philadelphia Neurodevelopmental Cohort is a prospectively accrued, community-based sample of 9498 youth who received a structured psychiatric evaluation...
May 1, 2016: JAMA Psychiatry
Mohamad Habes, Guray Erus, Jon B Toledo, Tianhao Zhang, Nick Bryan, Lenore J Launer, Yves Rosseel, Deborah Janowitz, Jimit Doshi, Sandra Van der Auwera, Bettina von Sarnowski, Katrin Hegenscheid, Norbert Hosten, Georg Homuth, Henry Völzke, Ulf Schminke, Wolfgang Hoffmann, Hans J Grabe, Christos Davatzikos
White matter hyperintensities are associated with increased risk of dementia and cognitive decline. The current study investigates the relationship between white matter hyperintensities burden and patterns of brain atrophy associated with brain ageing and Alzheimer's disease in a large populatison-based sample (n = 2367) encompassing a wide age range (20-90 years), from the Study of Health in Pomerania. We quantified white matter hyperintensities using automated segmentation and summarized atrophy patterns using machine learning methods resulting in two indices: the SPARE-BA index (capturing age-related brain atrophy), and the SPARE-AD index (previously developed to capture patterns of atrophy found in patients with Alzheimer's disease)...
April 2016: Brain: a Journal of Neurology
Anna Fábián, Renáta Bor, Klaudia Farkas, Anita Bálint, Ágnes Milassin, Mariann Rutka, László Tiszlavicz, Tibor Wittmann, Ferenc Nagy, Tamás Molnár, Zoltán Szepes
Background. Rectal tumour management depends highly on locoregional extension. Rectal endoscopic ultrasound (ERUS) is a good alternative to computed tomography and magnetic resonance imaging. However, in Hungary only a small amount of rectal tumours is examined with ERUS. Methods. Our retrospective study (2006-2012) evaluates the diagnostic accuracy of ERUS and compares the results, the first data from Central Europe, with those from Western Europe. The effect of neoadjuvant therapy, rectal probe type, and investigator's experience were also assessed...
2016: Gastroenterology Research and Practice
Marisa Leon-Carlyle, Jacqueline A Brown, Jeremy Hamm, P Terry Phang, Manoj J Raval, Carl J Brown
BACKGROUND: Endorectal ultrasound (ERUS) is used to preoperatively assess locoregional stage in patients with rectal neoplasms. This study evaluates the accuracy of ERUS in determining the T stage of rectal neoplasms treated by transanal endoscopic microsurgery (TEM). METHODS: All patients in the St Paul's Hospital TEM database were evaluated and excluded if they had been treated with neoadjuvant therapy. ERUS results were compared with gold-standard postoperative histopathology reports...
September 2016: American Journal of Surgery
H Roman, J Carilho, C Da Costa, C De Vecchi, O Suaud, M Monroc, P Hochain, M Vassilieff, C Savoye-Collet, M Saint-Ghislain
OBJECTIVE: To discuss the role of computed tomography-based virtual colonoscopy (CTC) in preoperative assessment of bowel endometriosis. METHODS: Retrospective study using data prospectively recorded, including 127 patients with colorectal endometriosis, having undergone CTC for bowel endometriosis. The study was conducted in a tertiary referral center during 38 consecutive months. Preoperative assessment included CTC, magnetic resonance imaging (MRI), endorectal ultrasound (ERUS) and clinical examination...
January 2016: Gynécologie, Obstétrique & Fertilité
Jimit Doshi, Guray Erus, Yangming Ou, Susan M Resnick, Ruben C Gur, Raquel E Gur, Theodore D Satterthwaite, Susan Furth, Christos Davatzikos
Atlas-based automated anatomical labeling is a fundamental tool in medical image segmentation, as it defines regions of interest for subsequent analysis of structural and functional image data. The extensive investigation of multi-atlas warping and fusion techniques over the past 5 or more years has clearly demonstrated the advantages of consensus-based segmentation. However, the common approach is to use multiple atlases with a single registration method and parameter set, which is not necessarily optimal for every individual scan, anatomical region, and problem/data-type...
February 15, 2016: NeuroImage
Ellen A de Jong, Josianne C E M ten Berge, Roy S Dwarkasing, Anton P Rijkers, Casper H J van Eijck
BACKGROUND: To perform a metaanalysis to determine and compare the diagnostic performance of MRI, endorectal ultrasonography (ERUS), and computed tomography (CT) in predicting the response of locally advanced rectal cancer after preoperative therapy. METHODS: All previously published articles on the role of MRI, CT, and/or ERUS in predicting the response of rectal cancer to preoperative therapy were collected. We divided the objective in 3 parts: the accuracy to assess (i) complete response, (ii) to detect T4 tumors with invasion to the circumferential resection margin (CRM), and (iii) to predict the presence of lymph node metastasis...
March 2016: Surgery
Adrian Cote, Florin Graur, Andrei Lebovici, Emil Mois, Nadim Al Hajjar, Codruta Mare, Radu Badea, Cornel Iancu
BACKGROUND AND AIMS: The incidence of rectal cancer in the European Union is about 35% of the total colorectal cancer incidence. Staging rectal cancer is important for planning treatment. It is essential for the management of rectal cancer to have adequate preoperative imaging, because accurate staging can influence the therapeutic strategy, type of resection, and candidacy for neoadjuvant therapy. The aim of this work is to evaluate the accuracy of endorectal ultrasound (ERUS) in rectal cancer staging...
2015: Clujul Medical (1957)
Harini Eavani, Meng Kang Hsieh, Yang An, Guray Erus, Lori Beason-Held, Susan Resnick, Christos Davatzikos
In MRI studies, linear multi-variate methods are often employed to identify regions or connections that are affected due to disease or normal aging. Such linear models inherently assume that there is a single, homogeneous abnormality pattern that is present in all affected individuals. While kernel-based methods can implicitly model a non-linear effect, and therefore the heterogeneity in the affected group, extracting and interpreting information about affected regions is difficult. In this paper, we present a method that explicitly models and captures heterogeneous patterns of change in the affected group relative to a reference group of controls...
January 15, 2016: NeuroImage
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