Article
Radiology, Nuclear Medicine & Medical Imaging
Yueqiang Zhu, Avice M. O'Connell, Yue Ma, Aidi Liu, Haijie Li, Yuwei Zhang, Xiaohua Zhang, Zhaoxiang Ye
Summary: Dedicated breast CT is an emerging 3D isotropic imaging technology that overcomes the limitations of traditional breast imaging methods. Despite the technical challenges such as scan protocol, radiation dose, breast coverage, patient comfort, and image artifact, proposed methods have been discussed to address these issues and improve the technology further.
EUROPEAN RADIOLOGY
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Yueqiang Zhu, Avice M. O'Connell, Yue Ma, Aidi Liu, Haijie Li, Yuwei Zhang, Xiaohua Zhang, Zhaoxiang Ye
Summary: Dedicated breast CT is increasingly used for breast imaging, providing images with no compression, removal of tissue overlap, rapid acquisition, and simultaneous assessment of microcalcifications and contrast enhancement. The current focus is on optimizing practice for lesion detection and characterization, therapy monitoring, density assessment, intervention, and implant evaluation, as well as exploring the potential for future breast CT screening.
EUROPEAN RADIOLOGY
(2022)
Article
Medicine, General & Internal
Lian Yang, Yue Wang, Lin Li, Dehan Liu, Xin Wu, Wei Zhang, Feng Pan, Huimin Liang, Chuansheng Zheng
Summary: This study compared the accuracy and safety of conventional CT-guided lung biopsy and C-arm cone-beam computed tomography (CBCT) virtual navigation-guided lung biopsy. The results showed that C-arm CBCT virtual navigation guided biopsy was better in terms of needle positioning and radiation exposure. Needle repositioning was identified as a risk factor for complications.
Article
Multidisciplinary Sciences
Van-Khoa Pham, Tran-Lan-Khue Pham
Summary: The aim of this study was to evaluate the agreements between different methods in estimating root canal length, including cone-beam computed tomography (CBCT) at different slice thicknesses, dedicated software, or an electronic apex locator (EAL), and the actual lengths (AL). The study showed that the EAL was an accurate and reliable method for measuring root canal length.
SCIENTIFIC REPORTS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Juan J. J. Pautasso, Marco Caballo, Mikhail Mikerov, John M. M. Boone, Koen Michielsen, Ioannis Sechopoulos
Summary: A deep learning model was developed to correct x-ray scatter in breast CT projection images, which accurately estimated scatter and improved contrast in reconstructed patient images without significantly affecting contrast-to-noise ratio (CNR).
Article
Oncology
Chitchaya Suwanraksa, Jidapa Bridhikitti, Thiansin Liamsuwan, Sitthichok Chaichulee
Summary: This study aims to improve the image quality of conebeam computed tomography (CBCT) by generating synthetic CT (sCT) that maintains the patient's anatomy as in CBCT, while having the image quality of CT. To address the challenge of obtaining paired images with aligned anatomy for supervised training, the study incorporated a registration network (RegNet) into the generative adversarial network (GAN) during training. Results showed that GAN trained with RegNet performed better than those trained without RegNet.
Article
Radiology, Nuclear Medicine & Medical Imaging
Lukas Birklein, Stefan Niebler, Elmar Schoemer, Robert Brylka, Ulrich Schwanecke, Ralf Schulze
Summary: We propose a motion estimation and motion correction approach for oral and maxillofacial cone beam CT scans based solely on 2D projection images. This algorithm improves the visualization quality of motion impaired scans, eliminating the need for re-scans and reducing radiation dosage for patients.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jan-Peter Grunz, Andreas Max Weng, Carsten Herbert Gietzen, Maike Veyhl-Wichmann, Lenhard Pennig, Andreas Kunz, Rainer Schmitt, Sueleyman Erguen, Thorsten Alexander Bley, Tobias Gassenmaier
Summary: This study compared the image quality of ultra-high-resolution CBCT prototype and high-resolution MDCT system in wrist examinations, finding that CBCT provided superior image quality and allowed for dose reduction up to 75%. The results also showed that CBCT had better depiction of bone microarchitecture compared to MDCT.
ACADEMIC RADIOLOGY
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
David A. Jaffray
Summary: The development of cone-beam CT guided radiotherapy has greatly impacted radiation oncology in the past 20 years. It has changed daily clinical practice, encouraged multidisciplinary collaboration, and facilitated new treatment methods. Furthermore, the integration of quantitative CT in robotic platforms can help address the global shortage of high-quality radiotherapy services by utilizing machine learning approaches and automating expertise.
Article
Computer Science, Artificial Intelligence
Lianying Chao, Zhiwei Wang, Haobo Zhang, Wenting Xu, Peng Zhang, Qiang Li
Summary: Cone beam computed tomography (CBCT) is widely used in image-guided surgery and radiotherapy, but it poses risks of ionizing radiation to patients. Researchers have developed a dual convolutional neural network architecture (DualCNN) to eliminate streak artifacts in sparse-view CBCT images, and experimental results demonstrate its significantly higher performance compared to other methods.
Article
Biology
Valerie Dahm, Ursula Schwarz-Nemec, Alice B. Auinger, Michael A. Arnoldner, Alexandra Kaider, Dominik Riss, Christian Czerny, Christoph Arnoldner
Summary: This study aimed to compare cone beam computed tomography and computed tomography in visualizing stapes prostheses, revealing important radiologic features and clinical implications of stapes prostheses.
Article
Radiology, Nuclear Medicine & Medical Imaging
Wonju Hong, Soon Ho Yoon, Jin Mo Goo, Chang Min Park
Summary: This study retrospectively reviewed 336 cone-beam CT-guided percutaneous transthoracic needle biopsy procedures in 326 patients and found that the target lesion size was the only significant predictor of diagnostic failure, while complications occurred at a reasonable rate.
KOREAN JOURNAL OF RADIOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan
Summary: Multimodal image registration plays a crucial role in diagnostic medical imaging and image-guided interventions, potentially improving therapeutic outcomes. However, challenges such as suboptimal image quality in intra-procedural CBCT and lack of standard intensity-based registration methods call for new solutions, including leveraging deep learning anatomy extractors and robust point matching in multimodal registration frameworks.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Dentistry, Oral Surgery & Medicine
Marcelo Lupion Poleti, Thais Maria Freire Fernandes, Marcela Rodrigues Moretti, Lucas Ramos Puzinato, Thiago Vinicius Sehn Slaviero, Izabel Regina Fischer Rubira-Bullen
Summary: This study evaluated the reliability and accuracy of automatic segmentation of mandibular three-dimensional models, finding that linear measurements on models obtained using standard preset thresholds are reliable and accurate. Further studies are needed to confirm these findings for clinical applications.
CLINICAL ORAL INVESTIGATIONS
(2021)
Article
Medicine, General & Internal
Mohammed G. Sghaireen, Kiran Kumar Ganji, Kumar Chandan Srivastava, Mohammad Khursheed Alam, Shadi Nashwan, Fayeq Hasan Migdadi, Ahmad Al-Qerem, Yousef Khader
Summary: This clinical study evaluated the correlation between Vitamin D (Vit D), cholesterol levels, and T- and Z-scores of dual-energy X-ray absorptiometry (DXA) scans with cone beam computed tomography values in the maxillary and mandibular jaws. A total of 187 patients aged between 45 and 65 were included in the study, divided into control (non-osteoporosis) and case (osteoporosis) groups. The results showed a significant inverse relationship between Vit D and cholesterol in the case group, and a positive relationship between Vit D and cone beam computed tomography values in all regions of the jaws except the mandibular posterior region. Pearson correlation analysis revealed an insignificant negative association between Vit D, cholesterol levels, and cone beam computed tomography values in all regions of the jaws, while Z-values were highly correlated with the cone beam computed tomography values in all regions of the jaws. Vit D, cholesterol levels, and Z-values were found to be related to the cone beam computed tomography values of the jaws in women and men aged 45-65.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jennifer Gottwald, Kathy Han, Michael Milosevic, Ivan Yeung, David A. Jaffray
Summary: This study assessed the impact of PET scanner non-linearity on the estimation of hypoxic fraction and found that there is a significant overestimate of the calculated hypoxic fraction in cervical tumors due to patient specific activity accumulation in the bladder and the non-linear response of PET scanner performance.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2022)
Article
Biology
Jeffrey C. Buchsbaum, David A. Jaffray, Demba Ba, Lynn L. Borkon, Christine Chalk, Caroline Chung, Matthew A. Coleman, C. Norman Coleman, Maximilian Diehn, Kelvin K. Droegemeier, Heiko Enderling, Michael G. Espey, Emily J. Greenspan, Christopher M. Hartshorn, Thuc Hoang, H. Timothy Hsiao, Cynthia Keppel, Nathan W. Moore, Fred Prior, Eric A. Stahlberg, Georgia Tourassi, Karen E. Willcox
Summary: The National Cancer Institute (NCI) and the Department of Energy (DOE) organized a series of interactive workshops focused on advancing computational approaches for predictive oncology in radiation oncology. The workshops brought together representatives from various fields to discuss key questions and goals for future development. Participants of the workshops felt motivated and were enthusiastic about addressing the unmet needs in radiation oncology and cancer research.
RADIATION RESEARCH
(2022)
Letter
Oncology
Caroline Chung, Paul D. Brown, Jeffrey S. Wefel
Article
Oncology
Benjamin M. Ellingson, Elizabeth R. Gerstner, Andrew B. Lassman, Caroline Chung, Howard Colman, Patricia E. Cole, David Leung, Joshua E. Allen, Manmeet S. Ahluwalia, Jerrold Boxerman, Matthew Brown, Jonathan Goldin, Edjah Nduom, Islam Hassan, Mark R. Gilbert, Ingo K. Mellinghoff, Michael Weller, Susan Chang, David Arons, Clair Meehan, Wendy Selig, Kirk Tanner, W. K. Alfred Yung, Martin van den Bent, Patrick Y. Wen, Timothy F. Cloughesy
Summary: Imaging response assessment plays a crucial role in patient care and drug development in oncology, but the current methods are insufficient in evaluating treatment effects comprehensively. Proposed modifications to the existing framework aim to improve the accuracy in measuring treatment effects and provide a reliable basis for selecting candidate therapies and identifying effective treatments.
Article
Multidisciplinary Sciences
Youngran Kim, Liang Zhu, Huili Zhu, Xiaojin Li, Yan Huang, Chunhui Gu, Heather Bush, Caroline Chung, Guo-Qiang Zhang
Summary: This study analyzed 314,004 COVID-19 patients and found that individuals with cancer, especially those diagnosed within 1 year and receiving treatment, had higher risks for worse COVID-19 outcomes, including 30-day mortality and hospitalization.
Article
Cell Biology
Joseph D. Butner, Prashant Dogra, Caroline Chung, Javier Ruiz-Ramirez, Sara Nizzero, Marija Plodinec, Xiaoxian Li, Ping-Ying Pan, Shu-hsia Chen, Vittorio Cristini, Bulent Ozpolat, George A. Calin, Zhihui Wang
Summary: The study presents a multiscale agent-based model to investigate the early stages of ductal carcinoma in situ (DCIS), and reveals the important role of cell dedifferentiation in the maintenance of cancer stem cell populations and disease progression.
CELL DEATH & DISEASE
(2022)
Article
Oncology
Pingjun Chen, Siba El Hussein, Fuyong Xing, Muhammad Aminu, Aparajith Kannapiran, John D. Hazle, L. Jeffrey Medeiros, Ignacio I. Wistuba, David Jaffray, Joseph D. Khoury, Jia Wu
Summary: This study demonstrates that using an unsupervised machine learning scheme can enhance the diagnostic accuracy of disease progression in chronic lymphocytic leukemia. Identifying cellular phenotypes via unsupervised clustering provides the most robust analytic performance in analyzing digitized pathology slides.
Article
Oncology
Jodi Goldman, Akifumi Hagiwara, Jingwen Yao, Catalina Raymond, Christian Ong, Rojin Bakhti, Elizabeth Kwon, Maguy Farhat, Carlo Torres, Lily G. Erickson, Brandon J. Curl, Maggie Lee, Whitney B. Pope, Noriko Salamon, Phioanh L. Nghiemphu, Matthew Ji, Blaine S. Eldred, Linda M. Liau, Albert Lai, Timothy F. Cloughesy, Caroline Chung, Benjamin M. Ellingson
Summary: In newly diagnosed IDH wild-type GBM patients with measurable enhancing lesions, an enigmatic non-response in rCBV was associated with longer PFS, particularly in MGMT methylated patients.
FRONTIERS IN ONCOLOGY
(2022)
Review
Pharmacology & Pharmacy
David A. Hormuth II, Maguy Farhat, Chase Christenson, Brandon Curl, C. Chad Quarles, Caroline Chung, Thomas E. Yankeelov
Summary: Immunotherapy combined with radiation therapy improves outcomes for brain tumor patients, but optimizing treatment schedules remains a challenge. Mechanism-based mathematical modeling maximizes treatment effects, requiring patient-specific data for successful clinical translation.
ADVANCED DRUG DELIVERY REVIEWS
(2022)
Article
Oncology
Tucker J. Netherton, Callistus Nguyen, Carlos E. Cardenas, Caroline Chung, Ann H. Klopp, Lauren E. Colbert, Dong Joo Rhee, Christine B. Peterson, Rebecca Howell, Peter Balter, Laurence E. Court
Summary: This study presents a fully automated clinical tool for treatment planning of the spine, which is efficient and effective across various CT scan types. The tool accurately labels and segments the vertebral bodies and detects any errors within the treatment regions. Radiation oncologists gave high scores to the performance of the tool, and the treatment planning time was short.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Review
Anesthesiology
Ekin Guran, Jian Hu, Jeffrey S. Wefel, Caroline Chung, Juan P. Cata
Summary: Patients with cancer may experience a decline in cognitive function after cancer therapies, including surgery, radiation, and chemotherapy. Chemotherapy-induced cognitive impairment can result from neurotoxicity, neuroinflammation, and oxidative stress, leading to changes in brain structure and connectivity. Surgery can exacerbate this condition and potentially cause postoperative cognitive dysfunction. As the number of successfully treated cancer patients increases, the impact of cognitive dysfunction after treatment has become a growing concern.
BRITISH JOURNAL OF ANAESTHESIA
(2022)
Article
Engineering, Biomedical
Noha Sinno, Edward Taylor, Tord Hompland, Michael Milosevic, David A. Jaffray, Catherine Coolens
Summary: Tumours often have abnormal interstitial structures and vasculature function, leading to impaired and uneven drug delivery. Predictions of tumour perfusion are crucial for drug delivery and therapy response. An advanced cross-voxel exchange model (CVXM) has been developed to describe tracer extravasation, advection, and diffusion. Pharmacokinetic models based on non-invasive imaging techniques can quantify tracer perfusion.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Oncology
Muhammad Aminu, Divya Yadav, Lingzhi Hong, Elliana Young, Paul Jr Jr 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 Vokes, Jianjun Zhang, Kristy K. Brock, Naval Daver, Scott E. Woodman, Hussein A. Tawbi, Ajay Sheshadri, J. Jack Lee, David Jaffray, Carol C. Wu, Caroline Chung, Jia Wu
Summary: Cancer patients have a higher risk of COVID-19 complications and their radiologic abnormalities differ from the general population. This study developed a habitat imaging technique for COVID-19 severity prediction in cancer patients and compared it with the general population. The AI models trained on the cancer cohort outperformed those trained on the general population.
Review
Medicine, General & Internal
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
Summary: This paper discusses various aspects of assessing the clinical acceptability of AI-based tools for contouring and treatment planning in radiotherapy, and explores how to establish a standard for defining the clinical acceptability of new autocontouring and planning tools.
Review
Oncology
David A. Jaffray, Felicia Knaul, Michael Baumann, Mary Gospodarowicz
Summary: The pace of technological innovation has made radiotherapy one of the most technologically intense disciplines in medicine. However, global barriers hinder access to this effective treatment. Efforts are being made in the radiation oncology community to align individualized therapy with global access needs.