Browsing by Author "Johnston, James M"

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Open Access
Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images.
(Scientific reports, 2020-10) Prince, Eric W; Whelan, Ros; Mirsky, David M; Stence, Nicholas; Staulcup, Susan; Klimo, Paul; Anderson, Richard CE; Niazi, Toba N; Grant, Gerald; Souweidane, Mark; Johnston, James M; Jackson, Eric M; Limbrick, David D; Smith, Amy; Drapeau, Annie; Chern, Joshua J; Kilburn, Lindsay; Ginn, Kevin; Naftel, Robert; Dudley, Roy; Tyler-Kabara, Elizabeth; Jallo, George; Handler, Michael H; Jones, Kenneth; Donson, Andrew M; Foreman, Nicholas K; Hankinson, Todd C
Deep learning (DL) is a widely applied mathematical modeling technique. Classically, DL models utilize large volumes of training data, which are not available in many healthcare contexts. For patients with brain tumors, non-invasive diagnosis would represent a substantial clinical advance, potentially sparing patients from the risks associated with surgical intervention on the brain. Such an approach will depend upon highly accurate models built using the limited datasets that are available. Herein, we present a novel genetic algorithm (GA) that identifies optimal architecture parameters using feature embeddings from state-of-the-art image classification networks to identify the pediatric brain tumor, adamantinomatous craniopharyngioma (ACP). We optimized classification models for preoperative Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and combined CT and MRI datasets with demonstrated test accuracies of 85.3%, 83.3%, and 87.8%, respectively. Notably, our GA improved baseline model performance by up to 38%. This work advances DL and its applications within healthcare by identifying optimized networks in small-scale data contexts. The proposed system is easily implementable and scalable for non-invasive computer-aided diagnosis, even for uncommon diseases.
Open Access
The children's brain tumor network (CBTN) - Accelerating research in pediatric central nervous system tumors through collaboration and open science.
(Neoplasia (New York, N.Y.), 2023-01) Lilly, Jena V; Rokita, Jo Lynne; Mason, Jennifer L; Patton, Tatiana; Stefankiewiz, Stephanie; Higgins, David; Trooskin, Gerri; Larouci, Carina A; Arya, Kamnaa; Appert, Elizabeth; Heath, Allison P; Zhu, Yuankun; Brown, Miguel A; Zhang, Bo; Farrow, Bailey K; Robins, Shannon; Morgan, Allison M; Nguyen, Thinh Q; Frenkel, Elizabeth; Lehmann, Kaitlin; Drake, Emily; Sullivan, Catherine; Plisiewicz, Alexa; Coleman, Noel; Patterson, Luke; Koptyra, Mateusz; Helili, Zeinab; Van Kuren, Nicholas; Young, Nathan; Kim, Meen Chul; Friedman, Christopher; Lubneuski, Alex; Blackden, Christopher; Williams, Marti; Baubet, Valerie; Tauhid, Lamiya; Galanaugh, Jamie; Boucher, Katie; Ijaz, Heba; Cole, Kristina A; Choudhari, Namrata; Santi, Mariarita; Moulder, Robert W; Waller, Jonathan; Rife, Whitney; Diskin, Sharon J; Mateos, Marion; Parsons, Donald W; Pollack, Ian F; Goldman, Stewart; Leary, Sarah; Caporalini, Chiara; Buccoliero, Anna Maria; Scagnet, Mirko; Haussler, David; Hanson, Derek; Firestein, Ron; Cain, Jason; Phillips, Joanna J; Gupta, Nalin; Mueller, Sabine; Grant, Gerald; Monje-Deisseroth, Michelle; Partap, Sonia; Greenfield, Jeffrey P; Hashizume, Rintaro; Smith, Amy; Zhu, Shida; Johnston, James M; Fangusaro, Jason R; Miller, Matthew; Wood, Matthew D; Gardner, Sharon; Carter, Claire L; Prolo, Laura M; Pisapia, Jared; Pehlivan, Katherine; Franson, Andrea; Niazi, Toba; Rubin, Josh; Abdelbaki, Mohamed; Ziegler, David S; Lindsay, Holly B; Stucklin, Ana Guerreiro; Gerber, Nicolas; Vaske, Olena M; Quinsey, Carolyn; Rood, Brian R; Nazarian, Javad; Raabe, Eric; Jackson, Eric M; Stapleton, Stacie; Lober, Robert M; Kram, David E; Koschmann, Carl; Storm, Phillip B; Lulla, Rishi R; Prados, Michael; Resnick, Adam C; Waanders, Angela J
Pediatric brain tumors are the leading cause of cancer-related death in children in the United States and contribute a disproportionate number of potential years of life lost compared to adult cancers. Moreover, survivors frequently suffer long-term side effects, including secondary cancers. The Children's Brain Tumor Network (CBTN) is a multi-institutional international clinical research consortium created to advance therapeutic development through the collection and rapid distribution of biospecimens and data via open-science research platforms for real-time access and use by the global research community. The CBTN's 32 member institutions utilize a shared regulatory governance architecture at the Children's Hospital of Philadelphia to accelerate and maximize the use of biospecimens and data. As of August 2022, CBTN has enrolled over 4700 subjects, over 1500 parents, and collected over 65,000 biospecimen aliquots for research. Additionally, over 80 preclinical models have been developed from collected tumors. Multi-omic data for over 1000 tumors and germline material are currently available with data generation for > 5000 samples underway. To our knowledge, CBTN provides the largest open-access pediatric brain tumor multi-omic dataset annotated with longitudinal clinical and outcome data, imaging, associated biospecimens, child-parent genomic pedigrees, and in vivo and in vitro preclinical models. Empowered by NIH-supported platforms such as the Kids First Data Resource and the Childhood Cancer Data Initiative, the CBTN continues to expand the resources needed for scientists to accelerate translational impact for improved outcomes and quality of life for children with brain and spinal cord tumors.
Open Access
Transcriptional analyses of adult and pediatric adamantinomatous craniopharyngioma reveals similar expression signatures regarding potential therapeutic targets.
(Acta neuropathologica communications, 2020-05) Prince, Eric; Whelan, Ros; Donson, Andrew; Staulcup, Susan; Hengartner, Astrid; Vijmasi, Trinka; Agwu, Chibueze; Lillehei, Kevin O; Foreman, Nicholas K; Johnston, James M; Massimi, Luca; Anderson, Richard CE; Souweidane, Mark M; Naftel, Robert P; Limbrick, David D; Grant, Gerald; Niazi, Toba N; Dudley, Roy; Kilburn, Lindsay; Jackson, Eric M; Jallo, George I; Ginn, Kevin; Smith, Amy; Chern, Joshua J; Lee, Amy; Drapeau, Annie; Krieger, Mark D; Handler, Michael H; Hankinson, Todd C; Advancing Treatment for Pediatric Craniopharyngioma Consortium
Adamantinomatous craniopharyngioma (ACP) is a biologically benign but clinically aggressive lesion that has a significant impact on quality of life. The incidence of the disease has a bimodal distribution, with peaks occurring in children and older adults. Our group previously published the results of a transcriptome analysis of pediatric ACPs that identified several genes that were consistently overexpressed relative to other pediatric brain tumors and normal tissue. We now present the results of a transcriptome analysis comparing pediatric to adult ACP to identify biological differences between these groups that may provide novel therapeutic insights or support the assertion that potential therapies identified through the study of pediatric ACP may also have a role in adult ACP. Using our compiled transcriptome dataset of 27 pediatric and 9 adult ACPs, obtained through the Advancing Treatment for Pediatric Craniopharyngioma Consortium, we interrogated potential age-related transcriptional differences using several rigorous mathematical analyses. These included: canonical differential expression analysis; divisive, agglomerative, and probabilistic based hierarchical clustering; information theory based characterizations; and the deep learning approach, HD Spot. Our work indicates that there is no therapeutically relevant difference in ACP gene expression based on age. As such, potential therapeutic targets identified in pediatric ACP are also likely to have relvance for adult patients.