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10 Publications visible to you, out of a total of 10
Automated macrophage counting in DLBCL tissue samples: a ROF filter based approach
MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine

Abstract (Expand)

We describe a Rudin-Osher-Fatemi (ROF) filter based segmentation approach for whole tissue samples, combining floating intensity thresholding and rule-based feature detection. Method is validated against … manual counts and compared with two commercial software kits (Tissue Studio 64, Definiens AG, and Halo, Indica Labs) and a straightforward machine-learning approach in a set of 50 test images. Further, the novel method and both commercial packages are applied to a set of 44 whole tissue sections. Outputs are compared with gene expression data available for the same tissue samples. Finally, the ROF based method is applied to 44 expert-specified tumor subregions for testing selection and subsampling strategies. Our method is deterministic, fully automated, externally repeatable, independent on training data and -- in difference to most commercial software kits -- completely documented. Among all tested methods, the novel approach is best correlated with manual count (0.9297). Automated detection of evaluation subregions proved to be fully reliable. Subsampling within tumor subregions is possible with results almost identical to full sampling. Comparison with gene expression data obtained for the same tissue samples reveals only moderate to low correlation levels, thus indicating that image morphometry constitutes an independent source of information about antibody-polarized macrophage occurence and distribution.

Authors: Marcus Wagner, René Hänsel, Sarah Reinke, Julia Richter, Michael Altenbuchinger, Ulf-Dietrich Braumann, Rainer Spang, Markus Löffler, Wolfram Klapper

Date Published: No date defined

Publication Type: Not specified

Human Diseases: diffuse large B-cell lymphoma

An image dataset related to automated macrophage detection in immunostained lymphoma tissue samples
MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine

Abstract (Expand)

A large set of IHC stained DLBCL specimens is provided together with segmentation masks for different cell populations generated by a reference method for automated image analysis, thus featuring … considerable reuse potential. Provided image data comprise a) fluorescence microscopy images of 44 multiple immunohistostained DLBCL tumor subregions, captured at four channels corresponding to CD14, CD163, Pax5 and DAPI; b) cartoon-filtered versions of these images, generated by Rudin-Osher-Fatemi (ROF) denoising; c) an automatically generated mask of the evaluation subregion, based on information from the DAPI channel, and d) automatically generated segmentation masks for macrophages, B-cells and the total of cell nuclei, using information from CD14, CD163, Pax5 and DAPI channels, respectively.

Authors: Marcus Wagner, Sarah Reinke, René Hänsel, Wolfram Klapper, Ulf-Dietrich Braumann

Date Published: 12th Mar 2020

Publication Type: Journal article

Human Diseases: diffuse large B-cell lymphoma

Association of Genomic Domains in BRCA1 and BRCA2 with Prostate Cancer Risk and Aggressiveness
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

Pathogenic sequence variants (PSV) in BRCA1 or BRCA2 (BRCA1/2) are associated with increased risk and severity of prostate cancer (PCa). We evaluated whether PSVs in BRCA1/2 were associated with risk … of overall PCa or high grade (Gleason 8+) PCa using an international sample of 65 BRCA1 and 171 BRCA2 male PSV carriers with PCa, and 3,388 BRCA1 and 2,880 BRCA2 male PSV carriers without PCa. PSVs in the 3’ region of BRCA2 (c.7914+) were significantly associated with elevated risk of PCa compared with reference bin c.1001-c.7913 (HR=1.78, 95%CI: 1.25-2.52, p=0.001), as well as elevated risk of Gleason 8+ PCa (HR=3.11, 95%CI: 1.63-5.95, p=0.001). c.756-c.1000 was also associated with elevated PCa risk (HR=2.83, 95%CI: 1.71-4.68, p=0.00004) and elevated risk of Gleason 8+ PCa (HR=4.95, 95%CI: 2.12-11.54, p=0.0002). No genotype-phenotype associations were detected for PSVs in BRCA1. These results demonstrate that specific BRCA2 PSVs may be associated with elevated risk of developing aggressive PCa.

Authors: Vivek L. Patel, Evan L. Busch, Tara M. Friebel, Angel Cronin, Goska Leslie, Lesley McGuffog, Julian Adlard, Simona Agata, Bjarni A. Agnarsson, Munaza Ahmed, Kristiina Aittomäki, Elisa Alducci, Irene L. Andrulis, Adalgeir Arason, Norbert Arnold, Grazia Artioli, Brita Arver, Bernd Auber, Jacopo Azzollini, Judith Balmaña, Rosa B. Barkardottir, Daniel R. Barnes, Alicia Barroso, Daniel Barrowdale, Muriel Belotti, Javier Benitez, Brigitte Bertelsen, Marinus J. Blok, Istvan Bodrogi, Valérie Bonadona, Bernardo Bonanni, Davide Bondavalli, Susanne E. Boonen, Julika Borde, Ake Borg, Angela R. Bradbury, Angela Brady, Carole Brewer, Joan Brunet, Bruno Buecher, Saundra S. Buys, Santiago Cabezas-Camarero, Trinidad Caldés, Almuth Caliebe, Maria A. Caligo, Mariarosaria Calvello, Ian G. Campbell, Ileana Carnevali, Estela Carrasco, Tsun L. Chan, Annie T. W. Chu, Wendy K. Chung, Kathleen B. M. Claes, Gemo Study Collaborators, Embrace Collaborators, Jackie Cook, Laura Cortesi, Fergus J. Couch, Mary B. Daly, Giuseppe Damante, Esther Darder, Rosemarie Davidson, Miguel de La Hoya, Lara Della Puppa, Joe Dennis, Orland Díez, Yuan Chun Ding, Nina Ditsch, Susan M. Domchek, Alan Donaldson, Bernd Dworniczak, Douglas F. Easton, Diana M. Eccles, Rosalind A. Eeles, Hans Ehrencrona, Bent Ejlertsen, Christoph Engel, D. Gareth Evans, Laurence Faivre, Ulrike Faust, Lídia Feliubadaló, Lenka Foretova, Florentia Fostira, George Fountzilas, Debra Frost, Vanesa García-Barberán, Pilar Garre, Marion Gauthier-Villars, Lajos Géczi, Andrea Gehrig, Anne-Marie Gerdes, Paul Gesta, Giuseppe Giannini, Gord Glendon, Andrew K. Godwin, David E. Goldgar, Mark H. Greene, Angelica M. Gutierrez-Barrera, Eric Hahnen, Ute Hamann, Jan Hauke, Natalie Herold, Frans B. L. Hogervorst, Ellen Honisch, John L. Hopper, Peter J. Hulick, Kconfab Investigators, Hebon Investigators, Louise Izatt, Agnes Jager, Paul James, Ramunas Janavicius, Uffe Birk Jensen, Thomas Dyrso Jensen, Oskar Th Johannsson, Esther M. John, Vijai Joseph, Eunyoung Kang, Karin Kast, Johanna I. Kiiski, Sung-Won Kim, Zisun Kim, Kwang-Pil Ko, Irene Konstantopoulou, Gero Kramer, Lotte Krogh, Torben A. Kruse, Ava Kwong, Mirjam Larsen, Christine Lasset, Charlotte Lautrup, Conxi Lázaro, Jihyoun Lee, Jong Won Lee, Min Hyuk Lee, Johannes Lemke, Fabienne Lesueur, Annelie Liljegren, Annika Lindblom, Patricia Llovet, Adria Lopez-Fernández, Irene Lopez-Perolio, Victor Lorca, Jennifer T. Loud, Edmond S. K. Ma, Phuong L. Mai, Siranoush Manoukian, Veronique Mari, Lynn Martin, Laura Matricardi, Noura Mebirouk, Veronica Medici, Hanne E. J. Meijers-Heijboer, Alfons Meindl, Arjen R. Mensenkamp, Clare Miller, Denise Molina Gomes, Marco Montagna, Thea M. Mooij, Lidia Moserle, Emmanuelle Mouret-Fourme, Anna Marie Mulligan, Katherine L. Nathanson, Marie Navratilova, Heli Nevanlinna, Dieter Niederacher, Finn C. Cilius Nielsen, Liene Nikitina-Zake, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Kai-Ren Ong, Ana Osorio, Claus-Eric Ott, Domenico Palli, Sue K. Park, Michael T. Parsons, Inge Sokilde Pedersen, Bernard Peissel, Ana Peixoto, Pedro Pérez-Segura, Paolo Peterlongo, Annabeth Høgh Petersen, Mary E. Porteous, Miguel Angel Pujana, Paolo Radice, Juliane Ramser, Johanna Rantala, Muhammad U. Rashid, Kerstin Rhiem, Piera Rizzolo, Mark E. Robson, Matti A. Rookus, Caroline Maria Rossing, Kathryn J. Ruddy, Catarina Santos, Claire Saule, Rosa Scarpitta, Rita K. Schmutzler, Hélène Schuster, Leigha Senter, Caroline M. Seynaeve, Payal D. Shah, Priyanka Sharma, Vivian Y. Shin, Valentina Silvestri, Jacques Simard, Christian F. Singer, Anne-Bine Skytte, Katie Snape, Angela R. Solano, Penny Soucy, Melissa C. Southey, Amanda B. Spurdle, Linda Steele, Doris Steinemann, Dominique Stoppa-Lyonnet, Agostina Stradella, Lone Sunde, Christian Sutter, Yen Y. Tan, Manuel R. Teixeira, Soo Hwang Teo, Mads Thomassen, Maria Grazia Tibiletti, Marc Tischkowitz, Silvia Tognazzo, Amanda E. Toland, Stefania Tommasi, Diana Torres, Angela Toss, Alison H. Trainer, Nadine Tung, Christi J. van Asperen, Frederieke H. van der Baan, Lizet E. van der Kolk, Rob B. van der Luijt, Liselotte P. van Hest, Liliana Varesco, Raymonda Varon-Mateeva, Alessandra Viel, Jeroen Vierstraete, Roberta Villa, Anna von Wachenfeldt, Philipp Wagner, Shan Wang-Gohrke, Barbara Wappenschmidt, Jeffrey N. Weitzel, Greet Wieme, Siddhartha Yadav, Drakoulis Yannoukakos, Sook-Yee Yoon, Cristina Zanzottera, Kristin K. Zorn, Anthony V. D’Amico, Matthew L. Freedman, Mark M. Pomerantz, Georgia Chenevix-Trench, Antonis C. Antoniou, Susan L. Neuhausen, Laura Ottini, Henriette Roed Nielsen, Timothy R. Rebbeck

Date Published: 13th Nov 2019

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated … in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared to information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known non-pathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification. This article is protected by copyright. All rights reserved.

Authors: Michael T. Parsons, Emma Tudini, Hongyan Li, Eric Hahnen, Barbara Wappenschmidt, Lidia Feliubadaló, Cora M. Aalfs, Simona Agata, Kristiina Aittomäki, Elisa Alducci, María Concepción Alonso-Cerezo, Norbert Arnold, Bernd Auber, Rachel Austin, Jacopo Azzollini, Judith Balmaña, Elena Barbieri, Claus R. Bartram, Ana Blanco, Britta Blümcke, Sandra Bonache, Bernardo Bonanni, Åke Borg, Beatrice Bortesi, Joan Brunet, Carla Bruzzone, Karolin Bucksch, Giulia Cagnoli, Trinidad Caldés, Almuth Caliebe, Maria A. Caligo, Mariarosaria Calvello, Gabriele L. Capone, Sandrine M. Caputo, Ileana Carnevali, Estela Carrasco, Virginie Caux-Moncoutier, Pietro Cavalli, Giulia Cini, Edward M. Clarke, Paola Concolino, Elisa J. Cops, Laura Cortesi, Fergus J. Couch, Esther Darder, Miguel de La Hoya, Michael Dean, Irmgard Debatin, Jesús Del Valle, Capucine Delnatte, Nicolas Derive, Orland Diez, Nina Ditsch, Susan M. Domchek, Véronique Dutrannoy, Diana M. Eccles, Hans Ehrencrona, Ute Enders, D. Gareth Evans, Ulrike Faust, Ute Felbor, Irene Feroce, Miriam Fine, Henrique C. R. Galvao, Gaetana Gambino, Andrea Gehrig, Francesca Gensini, Anne-Marie Gerdes, Aldo Germani, Jutta Giesecke, Viviana Gismondi, Carolina Gómez, Encarna B. Gómez Garcia, Sara González, Elia Grau, Sabine Grill, Eva Gross, Aliana Guerrieri-Gonzaga, Marine Guillaud-Bataille, Sara Gutiérrez-Enríquez, Thomas Haaf, Karl Hackmann, Thomas v. O. Hansen, Marion Harris, Jan Hauke, Tilman Heinrich, Heide Hellebrand, Karen N. Herold, Ellen Honisch, Judit Horvath, Claude Houdayer, Verena Hübbel, Silvia Iglesias, Angel Izquierdo, Paul A. James, Linda A. M. Janssen, Udo Jeschke, Silke Kaulfuß, Katharina Keupp, Marion Kiechle, Alexandra Kölbl, Sophie Krieger, Torben A. Kruse, Anders Kvist, Fiona Lalloo, Mirjam Larsen, Vanessa L. Lattimore, Charlotte Lautrup, Susanne Ledig, Elena Leinert, Alexandra L. Lewis, Joanna Lim, Markus Loeffler, Adrià López-Fernández, Emanuela Lucci-Cordisco, Nicolai Maass, Siranoush Manoukian, Monica Marabelli, Laura Matricardi, Alfons Meindl, Rodrigo D. Michelli, Setareh Moghadasi, Alejandro Moles-Fernández, Marco Montagna, Gemma Montalban, Alvaro N. Monteiro, Eva Montes, Luigi Mori, Lidia Moserle, Clemens R. Müller, Christoph Mundhenke, Nadia Naldi, Katherine L. Nathanson, Matilde Navarro, Heli Nevanlinna, Cassandra B. Nichols, Dieter Niederacher, Henriette R. Nielsen, Kai-Ren Ong, Nicholas Pachter, Edenir I. Palmero, Laura Papi, Inge Sokilde Pedersen, Bernard Peissel, Pedro Pérez-Segura, Katharina Pfeifer, Marta Pineda, Esther Pohl-Rescigno, Nicola K. Poplawski, Berardino Porfirio, Anne S. Quante, Juliane Ramser, Rui M. Reis, Françoise Revillion, Kerstin Rhiem, Barbara Riboli, Julia Ritter, Daniela Rivera, Paula Rofes, Andreas Rump, Monica Salinas, Ana María Sánchez de Abajo, Gunnar Schmidt, Ulrike Schoenwiese, Jochen Seggewiß, Ares Solanes, Doris Steinemann, Mathias Stiller, Dominique Stoppa-Lyonnet, Kelly J. Sullivan, Rachel Susman, Christian Sutter, Sean V. Tavtigian, Soo H. Teo, Alex Teulé, Mads Thomassen, Maria Grazia Tibiletti, Silvia Tognazzo, Amanda E. Toland, Eva Tornero, Therese Törngren, Sara Torres-Esquius, Angela Toss, Alison H. Trainer, Christi J. van Asperen, Marion T. van Mackelenbergh, Liliana Varesco, Gardenia Vargas-Parra, Raymonda Varon, Ana Vega, Ángela Velasco, Anne-Sophie Vesper, Alessandra Viel, Maaike P. G. Vreeswijk, Sebastian A. Wagner, Anke Waha, Logan C. Walker, Rhiannon J. Walters, Shan Wang-Gohrke, Bernhard H. F. Weber, Wilko Weichert, Kerstin Wieland, Lisa Wiesmüller, Isabell Witzel, Achim Wöckel, Emma R. Woodward, Silke Zachariae, Valentina Zampiga, Christine Zeder-Göß, Conxi Lázaro, Arcangela de Nicolo, Paolo Radice, Christoph Engel, Rita K. Schmutzler, David E. Goldgar, Amanda B. Spurdle

Date Published: 1st Sep 2019

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Mendelian randomisation study of height and body mass index as modifiers of ovarian cancer risk in 22,588 BRCA1 and BRCA2 mutation carriers
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

BACKGROUND Height and body mass index (BMI) are associated with higher ovarian cancer risk in the general population, but whether such associations exist among BRCA1/2 mutation carriers is unknown. …. METHODS We applied a Mendelian randomisation approach to examine height/BMI with ovarian cancer risk using the Consortium of Investigators for the Modifiers of BRCA1/2 (CIMBA) data set, comprising 14,676 BRCA1 and 7912 BRCA2 mutation carriers, with 2923 ovarian cancer cases. We created a height genetic score (height-GS) using 586 height-associated variants and a BMI genetic score (BMI-GS) using 93 BMI-associated variants. Associations were assessed using weighted Cox models. RESULTS Observed height was not associated with ovarian cancer risk (hazard ratio [HR]: 1.07 per 10-cm increase in height, 95% confidence interval [CI]: 0.94-1.23). Height-GS showed similar results (HR = 1.02, 95% CI: 0.85-1.23). Higher BMI was significantly associated with increased risk in premenopausal women with HR = 1.25 (95% CI: 1.06-1.48) and HR = 1.59 (95% CI: 1.08-2.33) per 5-kg/m2 increase in observed and genetically determined BMI, respectively. No association was found for postmenopausal women. Interaction between menopausal status and BMI was significant (Pinteraction \textless 0.05). CONCLUSION Our observation of a positive association between BMI and ovarian cancer risk in premenopausal BRCA1/2 mutation carriers is consistent with findings in the general population.

Authors: Frank Qian, Matti A. Rookus, Goska Leslie, Harvey A. Risch, Mark H. Greene, Cora M. Aalfs, Muriel A. Adank, Julian Adlard, Bjarni A. Agnarsson, Munaza Ahmed, Kristiina Aittomäki, Irene L. Andrulis, Norbert Arnold, Banu K. Arun, Margreet G. E. M. Ausems, Jacopo Azzollini, Daniel Barrowdale, Julian Barwell, Javier Benitez, Katarzyna Białkowska, Valérie Bonadona, Julika Borde, Ake Borg, Angela R. Bradbury, Joan Brunet, Saundra S. Buys, Trinidad Caldés, Maria A. Caligo, Ian Campbell, Jonathan Carter, Jocelyne Chiquette, Wendy K. Chung, Kathleen B. M. Claes, J. Margriet Collée, Marie-Agnès Collonge-Rame, Fergus J. Couch, Mary B. Daly, Capucine Delnatte, Orland Diez, Susan M. Domchek, Cecilia M. Dorfling, Jacqueline Eason, Douglas F. Easton, Ros Eeles, Christoph Engel, D. Gareth Evans, Laurence Faivre, Lidia Feliubadaló, Lenka Foretova, Eitan Friedman, Debra Frost, Patricia A. Ganz, Judy Garber, Vanesa Garcia-Barberan, Andrea Gehrig, Gord Glendon, Andrew K. Godwin, Encarna B. Gómez Garcia, Ute Hamann, Jan Hauke, John L. Hopper, Peter J. Hulick, Evgeny N. Imyanitov, Claudine Isaacs, Louise Izatt, Anna Jakubowska, Ramunas Janavicius, Esther M. John, Beth Y. Karlan, Carolien M. Kets, Yael Laitman, Conxi Lázaro, Dominique Leroux, Jenny Lester, Fabienne Lesueur, Jennifer T. Loud, Jan Lubiński, Alicja Łukomska, Lesley McGuffog, Noura Mebirouk, Hanne E. J. Meijers-Heijboer, Alfons Meindl, Austin Miller, Marco Montagna, Thea M. Mooij, Emmanuelle Mouret-Fourme, Katherine L. Nathanson, Bita Nehoray, Susan L. Neuhausen, Heli Nevanlinna, Finn C. Nielsen, Kenneth Offit, Edith Olah, Kai-Ren Ong, Jan C. Oosterwijk, Laura Ottini, Michael T. Parsons, Paolo Peterlongo, Georg Pfeiler, Nisha Pradhan, Paolo Radice, Susan J. Ramus, Johanna Rantala, Gad Rennert, Mark Robson, Gustavo C. Rodriguez, Ritu Salani, Maren T. Scheuner, Rita K. Schmutzler, Payal D. Shah, Lucy E. Side, Jacques Simard, Christian F. Singer, Doris Steinemann, Dominique Stoppa-Lyonnet, Yen Yen Tan, Manuel R. Teixeira, Mary Beth Terry, Mads Thomassen, Marc Tischkowitz, Silvia Tognazzo, Amanda E. Toland, Nadine Tung, Christi J. van Asperen, Klaartje van Engelen, Elizabeth J. van Rensburg, Laurence Venat-Bouvet, Jeroen Vierstraete, Gabriel Wagner, Lisa Walker, Jeffrey N. Weitzel, Drakoulis Yannoukakos, Antonis C. Antoniou, David E. Goldgar, Olufunmilayo I. Olopade, Georgia Chenevix-Trench, Timothy R. Rebbeck, Dezheng Huo

Date Published: 1st Jul 2019

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Automated detection of the choroid boundary within OCT image data using quadratic measure filters.
LIFE Child

Abstract (Expand)

A novel method for the automated detection of the outer choroid boundary within spectral-domain optical coherence tomography image data, based on an image model within the space of functions of bounded … variation and the application of quadratic measure filters, is presented. The same method is used for the segmentation of retinal layer boundaries and proves to be suitable even for data generated without special imaging modes and moderate line averaging. Based on the segmentations, an automated determination of the central fovea region and choroidal thickness measurements for this and two adjacent 1-mm regions are provided. The quality of the method is assessed by comparison with manual delineations performed by five trained graders. The study is based on data from 50 children of the ages 8 to 13 that were obtained in the framework of the LIFE Child study at Leipzig University.

Authors: M. Wagner, P. Scheibe, M. Francke, B. Zimmerling, K. Frey, M. Vogel, S. Luckhaus, P. Wiedemann, W. Kiess, F. G. Rauscher

Date Published: 1st Feb 2017

Publication Type: Journal article

Subjective Cognitive Decline in Older Adults: An Overview of Self-Report Measures Used Across 19 International Research Studies.
LIFE Adult

Abstract (Expand)

Research increasingly suggests that subjective cognitive decline (SCD) in older adults, in the absence of objective cognitive dysfunction or depression, may be a harbinger of non-normative cognitive … decline and eventual progression to dementia. Little is known, however, about the key features of self-report measures currently used to assess SCD. The Subjective Cognitive Decline Initiative (SCD-I) Working Group is an international consortium established to develop a conceptual framework and research criteria for SCD (Jessen et al., 2014, Alzheimers Dement 10, 844-852). In the current study we systematically compared cognitive self-report items used by 19 SCD-I Working Group studies, representing 8 countries and 5 languages. We identified 34 self-report measures comprising 640 cognitive self-report items. There was little overlap among measures- approximately 75% of measures were used by only one study. Wide variation existed in response options and item content. Items pertaining to the memory domain predominated, accounting for about 60% of items surveyed, followed by executive function and attention, with 16% and 11% of the items, respectively. Items relating to memory for the names of people and the placement of common objects were represented on the greatest percentage of measures (56% each). Working group members reported that instrument selection decisions were often based on practical considerations beyond the study of SCD specifically, such as availability and brevity of measures. Results document the heterogeneity of approaches across studies to the emerging construct of SCD. We offer preliminary recommendations for instrument selection and future research directions including identifying items and measure formats associated with important clinical outcomes.

Authors: L. A. Rabin, C. M. Smart, P. K. Crane, R. E. Amariglio, L. M. Berman, M. Boada, R. F. Buckley, G. Chetelat, B. Dubois, K. A. Ellis, K. A. Gifford, A. L. Jefferson, F. Jessen, M. J. Katz, R. B. Lipton, T. Luck, P. Maruff, M. M. Mielke, J. L. Molinuevo, F. Naeem, A. Perrotin, R. C. Petersen, L. Rami, B. Reisberg, D. M. Rentz, S. G. Riedel-Heller, S. L. Risacher, O. Rodriguez, P. S. Sachdev, A. J. Saykin, M. J. Slavin, B. E. Snitz, R. A. Sperling, C. Tandetnik, W. M. van der Flier, M. Wagner, S. Wolfsgruber, S. A. Sikkes

Date Published: 24th Sep 2015

Publication Type: Not specified

Human Diseases: cognitive disorder, dementia

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