Use the keywords feature with a free QxMD account.
Use Read by QxMD to access full text via your institution or open access sources.
Read also provides personalized recommendations to keep you up to date in your field.
Existing User
Sign InNew to Read
Sign Up#1
JOURNAL ARTICLE
Sheeba J Sujit, Muhammad Aminu, Tatiana V Karpinets, Pingjun Chen, Maliazurina B Saad, Morteza Salehjahromi, John D Boom, Mohamed Qayati, James M George, Haley Allen, Mara B Antonoff, Lingzhi Hong, Xin Hu, Simon Heeke, Hai T Tran, Xiuning Le, Yasir Y Elamin, Mehmet Altan, Natalie I Vokes, Ajay Sheshadri, Julie Lin, Jianhua Zhang, Yang Lu, Carmen Behrens, Myrna C B Godoy, Carol C Wu, Joe Y Chang, Caroline Chung, David A Jaffray, Ignacio I Wistuba, J Jack Lee, Ara A Vaporciyan, Don L Gibbons, John Heymach, Jianjun Zhang, Tina Cascone, Jia Wu
While we recognize the prognostic importance of clinicopathological measures and circulating tumor DNA (ctDNA), the independent contribution of quantitative image markers to prognosis in non-small cell lung cancer (NSCLC) remains underexplored. In our multi-institutional study of 394 NSCLC patients, we utilize pre-treatment computed tomography (CT) and 18 F-fluorodeoxyglucose positron emission tomography (FDG-PET) to establish a habitat imaging framework for assessing regional heterogeneity within individual tumors...
April 11, 2024: Nature Communications
#2
JOURNAL ARTICLE
Benjamin Abraham Insley, Dirk Alan Bartkoski, Peter A Balter, Surendra Prajapati, Ramesh Tailor, David Jaffray, Mohammad R Salehpour
A novel X-ray field produced by an ultrathin conical target is described in the literature. However, the optimal design for an associated collimator remains ambiguous. Current optimization methods using Monte Carlo calculations restrict the efficiency and robustness of the design process. A more generic optimization method that reduces parameter constraints while minimizing computational load is necessary. A numerical method for optimizing the longitudinal collimator hole geometry for a cylindrically-symmetrical X-ray tube is demonstrated and compared to Monte Carlo calculations...
April 8, 2024: Physics in Medicine and Biology
#3
JOURNAL ARTICLE
Kang Qin, Kaiwen Wang, Shenduo Li, Lingzhi Hong, Priyadharshini Padmakumar, Rinsurongkawong Waree, Shawna M Hubert, Xiuning Le, Natalie Vokes, Kunal Rai, Ara Vaporciyan, Don L Gibbons, John V Heymach, J Jack Lee, Scott E Woodman, Caroline Chung, David A Jaffray, Mehmet Altan, Yanyan Lou, Jianjun Zhang
Docetaxel +/- ramucirumab remains the standard-of-care therapy for patients with metastatic non-small-cell lung cancer (NSCLC) after progression on platinum doublets and immune checkpoint inhibitors (ICIs). The aim of our study was to investigate whether the cancer gene mutation status was associated with clinical benefits from docetaxel +/- ramucirumab. We also investigated whether platinum/taxane-based regimens offered a better clinical benefit in this patient population. A total of 454 patients were analyzed (docetaxel +/- ramucirumab n=381; platinum/taxane-based regimens n=73)...
February 26, 2024: Cancers
#4
JOURNAL ARTICLE
Morteza Salehjahromi, Tatiana V Karpinets, Sheeba J Sujit, Mohamed Qayati, Pingjun Chen, Muhammad Aminu, Maliazurina B Saad, Rukhmini Bandyopadhyay, Lingzhi Hong, Ajay Sheshadri, Julie Lin, Mara B Antonoff, Boris Sepesi, Edwin J Ostrin, Iakovos Toumazis, Peng Huang, Chao Cheng, Tina Cascone, Natalie I Vokes, Carmen Behrens, Jeffrey H Siewerdsen, John D Hazle, Joe Y Chang, Jianhua Zhang, Yang Lu, Myrna C B Godoy, Caroline Chung, David Jaffray, Ignacio Wistuba, J Jack Lee, Ara A Vaporciyan, Don L Gibbons, Gregory Gladish, John V Heymach, Carol C Wu, Jianjun Zhang, Jia Wu
[18 F]Fluorodeoxyglucose positron emission tomography (FDG-PET) and computed tomography (CT) are indispensable components in modern medicine. Although PET can provide additional diagnostic value, it is costly and not universally accessible, particularly in low-income countries. To bridge this gap, we have developed a conditional generative adversarial network pipeline that can produce FDG-PET from diagnostic CT scans based on multi-center multi-modal lung cancer datasets (n = 1,478). Synthetic PET images are validated across imaging, biological, and clinical aspects...
March 4, 2024: Cell reports medicine
#5
JOURNAL ARTICLE
Franco Cavalli, Bente Mikkelsen, Elisabete Weiderpass, Richard Sullivan, David Jaffray, Mary Gospodarowicz
No abstract text is available yet for this article.
February 2024: Lancet Oncology
#6
REVIEW
Matthias Guckenberger, Nicolaus Andratschke, Caroline Chung, Dave Fuller, Stephanie Tanadini-Lang, David A Jaffray
Magnetic resonance image guided radiation therapy (MRIgRT) is a relatively new technology that has already shown outcomes benefits but that has not yet reached its clinical potential. The improved soft-tissue contrast provided with MR, coupled with the immediacy of image acquisition with respect to the treatment, enables expansion of on-table adaptive protocols, currently at a cost of increased treatment complexity, use of human resources, and longer treatment slot times, which translate to decreased throughput...
January 2024: Seminars in Radiation Oncology
#7
JOURNAL ARTICLE
Bozidar Casar, Ignasi Mendez, Eduard Gershkevitsh, Sonja Wegener, David Jaffray, Robert Heaton, Csilla Pesznyak, Gabor Stelczer, Wojciech Bulski, Krzysztof Chełminski, Georgiy Smirnov, Natalia Antipina, Andrew W Beavis, Nicholas Oliver Harding, Slaven Jurković, Min-Sig Hwang, M Saiful Huq

In this multicentric collaborative study, we aimed to verify whether the selected radiation detectors satisfy the requirements of TRS-483 Code of Practice for relative small field dosimetry in megavoltage photon beams used in radiotherapy, by investigating four dosimetric characteristics. Furthermore, we intended to analyze and complement the recommendations given in TRS-483.
Approach:
Short-term stability, dose linearity, dose-rate dependence, and leakage were determined for 17 types of detectors considered suitable for small field dosimetry...
December 13, 2023: Physics in Medicine and Biology
#8
JOURNAL ARTICLE
Danielle S Bitterman, Michael F Gensheimer, David Jaffray, Daniel A Pryma, Steve B Jiang, Olivier Morin, Jorge Barrios Ginart, Taman Upadhaya, Katherine A Vallis, John M Buatti, Joseph Deasy, H Timothy Hsiao, Caroline Chung, Clifton D Fuller, Emily Greenspan, Kristy Cloyd-Warwick, Samir Courdy, Allen Mao, Jill Barnholtz-Sloan, Umit Topaloglu, Isaac Hands, Ian Maurer, May Terry, Walter J Curran, Quynh-Thu Le, Sorena Nadaf, Warren Kibbe
In August 2022, the Cancer Informatics for Cancer Centers brought together cancer informatics leaders for its biannual symposium, Precision Medicine Applications in Radiation Oncology, co-chaired by Quynh-Thu Le, MD (Stanford University), and Walter J. Curran, MD (GenesisCare). Over the course of 3 days, presenters discussed a range of topics relevant to radiation oncology and the cancer informatics community more broadly, including biomarker development, decision support algorithms, novel imaging tools, theranostics, and artificial intelligence (AI) for the radiotherapy workflow...
September 2023: JCO Clinical Cancer Informatics
#9
JOURNAL ARTICLE
Ben Insley, Dirk Bartkoski, Peter Balter, Surendra Prajapati, Ramesh Tailor, Mohammad Salehpour, David Jaffray
BACKGROUND: Carbon nanotube-based cold cathode technology has revolutionized the miniaturization of X-ray tubes. However, current applications of these devices required optimization for large, uniform fields with low intensity. PURPOSE: This work investigated the feasibility and radiological characteristics of a novel conical X-ray target optimized for high intensity and high directionality to be used in a compact X-ray tube. METHODS: The proposed device uses an ultrathin, conical tungsten-diamond target that exhibits significant heat loading while maintaining a small focal spot size and promoting forward-directedness of the X-ray field through preferential attenuation of oblique-angled photons...
November 10, 2023: Medical Physics
#10
JOURNAL ARTICLE
Mary Gospodarowicz, Anna Dare, David A Jaffray
No abstract text is available yet for this article.
November 1, 2023: Lancet Oncology
#11
REVIEW
David A Jaffray, Felicia Knaul, Michael Baumann, Mary Gospodarowicz
The pace of technological innovation over the past three decades has transformed the field of radiotherapy into one of the most technologically intense disciplines in medicine. However, the global barriers to access this highly effective treatment are complex and extend beyond technological limitations. Here, we review the technological advancement and current status of radiotherapy and discuss the efforts of the global radiation oncology community to formulate a more integrative 'diagonal approach' in which the agendas of science-driven advances in individual outcomes and the sociotechnological task of global cancer control can be aligned to bring the benefit of this proven therapy to patients with cancer everywhere...
September 2023: Nature Cancer
#12
JOURNAL ARTICLE
Qasem Al-Tashi, Maliazurina B Saad, Ajay Sheshadri, Carol C Wu, Joe Y Chang, Bissan Al-Lazikani, Christopher Gibbons, Natalie I Vokes, Jianjun Zhang, J Jack Lee, John V Heymach, David Jaffray, Seyedali Mirjalili, Jia Wu
Survival models exist to study relationships between biomarkers and treatment effects. Deep learning-powered survival models supersede the classical Cox proportional hazards (CoxPH) model, but substantial performance drops were observed on high-dimensional features because of irrelevant/redundant information. To fill this gap, we proposed SwarmDeepSurv by integrating swarm intelligence algorithms with the deep survival model. Furthermore, four objective functions were designed to optimize prognostic prediction while regularizing selected feature numbers...
August 11, 2023: Patterns
#13
REVIEW
Laurence Court, Ajay Aggarwal, Hester Burger, Carlos Cardenas, Christine Chung, Raphael Douglas, Monique du Toit, David Jaffray, Anuja Jhingran, Michael Mejia, Raymond Mumme, Sikudhani Muya, Komeela Naidoo, Jerry Ndumbalo, Kelly Nealon, Tucker Netherton, Callistus Nguyen, Niki Olanrewaju, Jeannette Parkes, Willie Shaw, Christoph Trauernicht, Melody Xu, Jinzhong Yang, Lifei Zhang, Hannah Simonds, Beth M Beadle
PURPOSE: Automation, including the use of artificial intelligence, has been identified as a possible opportunity to help reduce the gap in access and quality for radiotherapy and other aspects of cancer care. The Radiation Planning Assistant (RPA) project was conceived in 2015 (and funded in 2016) to use automated contouring and treatment planning algorithms to support the efforts of oncologists in low- and middle-income countries, allowing them to scale their efforts and treat more patients safely and efficiently (to increase access)...
July 2023: JCO global oncology
#14
JOURNAL ARTICLE
Maliazurina B Saad, Lingzhi Hong, Muhammad Aminu, Natalie I Vokes, Pingjun Chen, Morteza Salehjahromi, Kang Qin, Sheeba J Sujit, Xuetao Lu, Elliana Young, Qasem Al-Tashi, Rizwan Qureshi, Carol C Wu, Brett W Carter, Steven H Lin, Percy P Lee, Saumil Gandhi, Joe Y Chang, Ruijiang Li, Michael F Gensheimer, Heather A Wakelee, Joel W Neal, Hyun-Sung Lee, Chao Cheng, Vamsidhar Velcheti, Yanyan Lou, Milena Petranovic, Waree Rinsurongkawong, Xiuning Le, Vadeerat Rinsurongkawong, Amy Spelman, Yasir Y Elamin, Marcelo V Negrao, Ferdinandos Skoulidis, Carl M Gay, Tina Cascone, Mara B Antonoff, Boris Sepesi, Jeff Lewis, Ignacio I Wistuba, John D Hazle, Caroline Chung, David Jaffray, Don L Gibbons, Ara Vaporciyan, J Jack Lee, John V Heymach, Jianjun Zhang, Jia Wu
BACKGROUND: Only around 20-30% of patients with non-small-cell lung cancer (NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based biomarkers (eg, PD-L1) are limited by suboptimal performance, tissue availability, and tumour heterogeneity, radiographic images might holistically capture the underlying cancer biology. We aimed to investigate the application of deep learning on chest CT scans to derive an imaging signature of response to immune checkpoint inhibitors and evaluate its added value in the clinical context...
July 2023: The Lancet. Digital health
#15
REVIEW
Sheng-Chieh Lu, Christine L Swisher, Caroline Chung, David Jaffray, Chris Sidey-Gibbons
Machine learning-based tools are capable of guiding individualized clinical management and decision-making by providing predictions of a patient's future health state. Through their ability to model complex nonlinear relationships, ML algorithms can often outperform traditional statistical prediction approaches, but the use of nonlinear functions can mean that ML techniques may also be less interpretable than traditional statistical methodologies. While there are benefits of intrinsic interpretability, many model-agnostic approaches now exist and can provide insight into the way in which ML systems make decisions...
2023: Frontiers in Oncology
#16
JOURNAL ARTICLE
Hunter Mehrens, Andrea Molineu, Nadia Hernandez, Laurence Court, Rebecca Howell, David Jaffray, Christine B Peterson, Julianne Pollard-Larkin, Stephen F Kry
AIMOF THE STUDY: To elucidate the important factors and their interplay that drive performance on IMRT phantoms from the Imaging and Radiation Oncology Core (IROC). METHODS: IROC's IMRT head and neck phantom contains two targets and an organ at risk. Point and 2D dose are measured by TLDs and film, respectively. 1,542 irradiations between 2012-2020 were retrospectively analyzed based on output parameters, complexity metrics, and treatment parameters. Univariate analysis compared parameters based on pass/fail, and random forest modeling was used to predict output parameters and determine the underlying importance of the variables...
February 23, 2023: Radiotherapy and Oncology
#17
REVIEW
Hana Baroudi, Kristy K Brock, Wenhua Cao, Xinru Chen, Caroline Chung, Laurence E Court, Mohammad D El Basha, Maguy Farhat, Skylar Gay, Mary P Gronberg, Aashish Chandra Gupta, Soleil Hernandez, Kai Huang, David A Jaffray, Rebecca Lim, Barbara Marquez, Kelly Nealon, Tucker J Netherton, Callistus M Nguyen, Brandon Reber, Dong Joo Rhee, Ramon M Salazar, Mihir D Shanker, Carlos Sjogreen, McKell Woodland, Jinzhong Yang, Cenji Yu, Yao Zhao
Developers and users of artificial-intelligence-based tools for automatic contouring and treatment planning in radiotherapy are expected to assess clinical acceptability of these tools. However, what is 'clinical acceptability'? Quantitative and qualitative approaches have been used to assess this ill-defined concept, all of which have advantages and disadvantages or limitations. The approach chosen may depend on the goal of the study as well as on available resources. In this paper, we discuss various aspects of 'clinical acceptability' and how they can move us toward a standard for defining clinical acceptability of new autocontouring and planning tools...
February 10, 2023: Diagnostics
#18
JOURNAL ARTICLE
Winnie Li, Gregory Bootsma, David Shultz, Normand Laperriere, Barbara-Ann Millar, Young Bin Cho, David A Jaffray, Caroline Chung, Catherine Coolens
As frameless stereotactic radiosurgery increase in use, the aim of this study was to evaluate intra-fraction motion through cone-beam CT (CBCT) and high-definition motion management (HDMM) systems. Intra-fraction motion measured between localization, repeat localization and post-treatment CBCTs were correlated to intra-faction motion indicated by the HDMM files using the Pearson coefficient (r). A total of 302 plans were reviewed from 263 patients (114 male, 149 female); 216 pairs of localization-repeat localization, and 260 localization-post-treatment CBCTs were analyzed against HDMM logs...
January 2023: Physics and Imaging in Radiation Oncology
#19
JOURNAL ARTICLE
Muhammad Aminu, Divya Yadav, Lingzhi Hong, Elliana Young, Paul Edelkamp, Maliazurina Saad, Morteza Salehjahromi, Pingjun Chen, Sheeba J Sujit, Melissa M Chen, Bradley Sabloff, Gregory Gladish, Patricia M de Groot, Myrna C B Godoy, Tina Cascone, Natalie I Vokes, Jianjun Zhang, Kristy K Brock, Naval Daver, Scott E Woodman, Hussein A Tawbi, Ajay Sheshadri, J Jack Lee, David Jaffray, D Code Team, Carol C Wu, Caroline Chung, Jia Wu
OBJECTIVES: Cancer patients have worse outcomes from the COVID-19 infection and greater need for ventilator support and elevated mortality rates than the general population. However, previous artificial intelligence (AI) studies focused on patients without cancer to develop diagnosis and severity prediction models. Little is known about how the AI models perform in cancer patients. In this study, we aim to develop a computational framework for COVID-19 diagnosis and severity prediction particularly in a cancer population and further compare it head-to-head to a general population...
December 31, 2022: Cancers
#20
JOURNAL ARTICLE
Noha Sinno, Edward Taylor, Tord Hompland, Michael Milosevic, David A Jaffray, Catherine Coolens
Tumours exhibit abnormal interstitial structures and vasculature function often leading to impaired and heterogeneous drug delivery. The disproportionate spatial accumulation of a drug in the interstitium is determined by several microenvironmental properties (blood vessel distribution and permeability, gradients in the interstitial fluid pressure). Predictions of tumour perfusion are key determinants of drug delivery and responsiveness to therapy. Pharmacokinetic models allow for the quantification of tracer perfusion based on contrast enhancement measured with non-invasive imaging techniques...
December 12, 2022: Physics in Medicine and Biology
Make the most of Read.
Download the mobile app.
Download the mobile app.
Fetching more papers... 
