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)
Article
Radiology, Nuclear Medicine & Medical Imaging
Farhang Bayat, Dan Ruan, Moyed Miften, Cem Altunbas
Summary: In this study, a physics-driven approach called quantitative CBCT (qCBCT) was developed to improve CBCT image quality and quantitative accuracy. This approach combines robust scatter rejection, raw data correction, and iterative image reconstruction, and shows promising results in terms of CT number accuracy and reduced image artifacts.
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhaoyue Chen, Jianzhong Wang
Summary: A significant reduction in effective dose for CBCT-DCG in healthy volunteers is achievable by decreasing the scanning field of view (FOV) without compromising diagnostic capability. CBCT-DCG is a potential first-line imaging test for evaluating the lacrimal drainage system, allowing for functional assessment of lacrimal drainage.
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)
Article
Oncology
Guoya Dong, Chenglong Zhang, Xiaokun Liang, Lei Deng, Yulin Zhu, Xuanyu Zhu, Xuanru Zhou, Liming Song, Xiang Zhao, Yaoqin Xie
Summary: In this study, a CycleGAN model was developed to calibrate CBCT images for the pelvis in adaptive radiation therapy. Through training and testing, the CycleGAN was able to generate high-quality corrected CBCT images (sPCT) that closely resembled PCT images while maintaining anatomical structure. Further evaluation and clinical implementation showed promising results in potentially replacing CBCT in ART.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Sofian Benkhaled, Carolina Gomes da Silveira Cauduro, Nicolas Jullian, Antoine Desmet, Diana Rodriguez, Younes Jourani, Dirk Van Gestel, Alex De Caluwe
Summary: This study analyzed 225 CBCTs from 15 patients undergoing DIBH radiotherapy, finding a wide range of heart position variations during treatment. Clinicians should be aware of individual differences to avoid cardiac overexposure and develop accurate dose-volume models.
FRONTIERS IN ONCOLOGY
(2022)
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
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
Oncology
Hongfei Sun, Rongbo Fan, Chunying Li, Zhengda Lu, Kai Xie, Xinye Ni, Jianhua Yang
Summary: An improved 3D CycleGAN method was used to generate pseudo-CT images, with the imaging quality improved by adding a gradient loss function. The model was validated through fivefold cross-validation, demonstrating the accuracy of the pseudo-CT images in terms of electronic density and anatomical structure.
FRONTIERS IN ONCOLOGY
(2021)
Article
Dentistry, Oral Surgery & Medicine
Amanda Pelegrin Candemil, Jardel Francisco Mazzi-Chaves, Matheus Lima Oliveira, Guilherme Bovi Ambrosano, Karla Farias Vasconcelos, Ruben Pauwels, Reinhilde Jacobs, Manoel Damiao Sousa-Neto
Summary: This study aimed to assess the volume of filled C-shaped root canals using different CBCT and micro-CT scanners with nano-CT as a reference. The results showed that CBCT and micro-CT scans displayed significantly larger volume of root canal filling compared to nano-CT. The presence of endodontic filling material can lead to blooming artifacts in CBCT and micro-CT images.
CLINICAL ORAL INVESTIGATIONS
(2023)
Article
Dentistry, Oral Surgery & Medicine
Kaan Orhan, Ruben Pauwels, Yi Chen, Dandan Song, Reinhilde Jacobs
Summary: The study estimated radiation doses for a dental spectral cone-beam CT unit with different scanning parameters. The results showed that the adult effective doses were comparable to other CBCT devices, but DAP values were generally above currently published DRLs. Pediatric effective doses were estimated to be 75% higher than corresponding adult doses, and spectral imaging might allow for artifact reduction at comparable dose levels.
DENTOMAXILLOFACIAL RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Haytham Derbel, Mahdi Krichen, Julia Chalaye, Laetitia Saccenti, William van der Sterren, Anne-Hilde Muris, Lionel Lerman, Athena Galletto, Youssef Zaarour, Alain Luciani, Hicham Kobeiter, Vania Tacher
Summary: This study evaluated the anatomical and volumetric predictability of CBCT-based VPP software for SPECT/CT imaging results in HCC patients undergoing TARE. The results showed that the CBCT-based VPP software accurately and reliably predicted the anatomical and volumetric results of Tc-99m-MAA SPECT/CT in HCC patients during TARE.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yue Ma, Aidi Liu, Avice M. O'Connell, Yueqiang Zhu, Haijie Li, Peng Han, Lu Yin, Hong Lu, Zhaoxiang Ye
Summary: CE-CBBCT features are associated with IHC receptors and molecular subtypes of breast cancer, which can help predict IHC receptor status and differentiate molecular subtypes. Specific features such as lesion number, tumor size, and internal enhancement pattern are related to different subtypes.
EUROPEAN RADIOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Berk Iskender, Yoram Bresler
Summary: Scatter caused by the interaction between photons and the imaged object is a fundamental problem in X-ray CT, as it leads to various artifacts during reconstruction. Hardware-based methods require modification in the hardware or increased scan time or dose, while software-based methods have gained great interest. In this work, two novel physics-inspired deep learning methods, PhILSCAT and OV-PhILSCAT, are proposed to estimate and correct for scatter in acquired projection measurements.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2022)
Article
Engineering, Biomedical
Mattea L. Welch, Chris McIntosh, Tom G. Purdie, Leonard Wee, Alberto Traverso, Andre Dekker, Benjamin Haibe-Kains, David A. Jaffray
PHYSICS IN MEDICINE AND BIOLOGY
(2020)
Article
Radiology, Nuclear Medicine & Medical Imaging
Young-Bin Cho, Makan Farrokhkish, Bern Norrlinger, Robert Heaton, David Jaffray, Mohammad Islam
Article
Radiology, Nuclear Medicine & Medical Imaging
Robert A. Weersink, Jimmy Qiu, Diego Martinez, Alexandra Rink, Jette Borg, Anne Di Tomasso, Jonathon C. Irish, David A. Jaffray
Article
Radiology, Nuclear Medicine & Medical Imaging
Mattea L. Welch, Chris McIntosh, Andrea McNiven, Shao Hui Huang, Bei-Bei Zhang, Leonard Wee, Alberto Traverso, Brian O'Sullivan, Frank Hoebers, Andre Dekker, David A. Jaffray
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2020)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Caroline Chung, Jayashree Kalpathy-Cramer, Michael V. Knopp, David A. Jaffray
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY
(2021)
Article
Urology & Nephrology
Rachel M. Glicksman, Ur Metser, Douglass Vines, John Valliant, Zhihui Liu, Peter W. Chung, Robert G. Bristow, Antonio Finelli, Robert Hamilton, Neil E. Fleshner, Nathan Perlis, Alexandre R. Zlotta, David Green, Andrew Bayley, Joelle Helou, Srinivas Raman, Girish Kulkarni, Charles Catton, Tony Lam, Rosanna Chan, Padraig Warde, Mary Gospodarowicz, David A. Jaffray, Alejandro Berlin
Summary: This study investigated the role of PSMA-targeted PET-MR/CT in the diagnosis and treatment of PCa patients, identifying the presence of oligorecurrent-PCa and its potential therapeutic effects in a subset of patients.
Article
Nanoscience & Nanotechnology
Nidal Muhanna, Donovan Eu, Harley H. L. Chan, Michael Daly, Inga B. Fricke, Catriona M. Douglas, Jason L. Townson, Jinzi Zheng, Christine Allen, David A. Jaffray, Jonathan C. Irish
Summary: This study evaluated the use of CF800 in enhancing intraoperative tumor demarcation in head and neck cancer. The results showed significant enhancement in fluorescence imaging and CBCT, indicating CF800 as a promising candidate for image-guided surgery. Further investigation is needed to determine its sensitivity and specificity in detecting nodal involvement.
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
(2021)
Editorial Material
Oncology
Caroline Chung, David A. Jaffray
Summary: Advancements in computational methods, including AI, create the opportunity for personalized cancer care using vast data, but the disconnect between compute promise and high-quality data supply necessitates a metadata supply chain for AI technology to reach its full potential in clinical practice.
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
Engineering, Biomedical
Noha Sinno, Edward Taylor, Michael Milosevic, David A. Jaffray, Catherine Coolens
Summary: Tumour perfusion predictions are vital for drug delivery and therapy responsiveness. Existing pharmacokinetic models, such as the widely used Tofts model, often lead to misinterpretation of perfusion parameters due to assumptions of no cross-voxel tracer exchange. A proposed Cross-Voxel Exchange Model (CVXM) provides a more accurate analysis of tracer kinetics, showing lower values for K-trans and v(e) compared to the Tofts model in dynamic contrast-enhanced magnetic resonance imaging datasets of human cervical carcinoma xenografts. The CVXM also allows for detection of diffusive flux and increased convective flow, demonstrating its potential for personalized treatment planning based on tumor microenvironment properties.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
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
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.