Article
Acoustics
Yuting Shen, Jiadong Zhang, Daohuai Jiang, Zijian Gao, Yuwei Zheng, Feng Gao, Fei Gao
Summary: This study proposes a straightforward simulation approach based on superposed Wave (s-Wave) to accelerate photoacoustic simulation. By manipulating the phase and amplitude of sensor data, the computation time is significantly reduced. The results show that s-Wave exhibits a speed improvement >2000 times compared with k-Wave in a sparse system configuration, and in terms of optimization-based image reconstruction, the reconstruction time is reduced by approximately 50 times.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2024)
Article
Acoustics
Jieyu Hu, Sindre Hellum Olaisen, Erik Smistad, Havard Dalen, Lasse Lovstakken
Summary: This study introduces a fully automated, real-time method for measuring left atrial volume in echocardiography using a neural network to identify key time points and segmentation techniques. The results show that this method provides comparable accuracy to manual measurements while saving time and reducing operator variability, with an average volume difference of 2.9 mL for 2-D and 7.8 mL for 3-D imaging. The application of pseudo-labeling improves the stability of volume curves and the accuracy of end-systole measurement.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2024)
Article
Acoustics
Nima Mobadersany, Pengcheng Liang, Paul Kemper, Elisa E. Konofagou
Summary: This study describes a technique for manufacturing arterial phantoms using polyvinyl alcohol and evaluates the use of pulse wave imaging (PWI) to assess plaque stiffness. The results show that PWI can distinguish between plaques of different stiffness and composition.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2024)
Article
Computer Science, Artificial Intelligence
Florentin Liebmann, Marco von Atzigen, Dominik Stutz, Julian Wolf, Lukas Zingg, Daniel Suter, Nicola A. Cavalcanti, Laura Leoty, Hooman Esfandiari, Jess G. Snedeker, Martin R. Oswald, Marc Pollefeys, Mazda Farshad, Philipp Furnstahl
Summary: This study presents a marker-less approach for automatic registration and real-time navigation of lumbar spinal fusion surgery using a deep neural network, avoiding radiation exposure and surgical errors. The method was validated on an ex-vivo surgery and a public dataset.
MEDICAL IMAGE ANALYSIS
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
A. Sailer, K. Fitzgerald, J. F. B. Chick, D. S. Shin, E. J. Monroe
Summary: This manuscript describes an approach to successful common femoral arterial access and arteriography in infants, highlighting common pearls and pitfalls.
Article
Radiology, Nuclear Medicine & Medical Imaging
Apurva Bonde, Alice W. Fung, Skye C. Mayo, Peter Li, Brett S. Walker, Sriram Jaganathan, Nadine Mallak, Elena K. Korngold
Summary: Hepatic arterial infusion pumps allow selective administration of chemotherapy to the liver, maximizing its effects while minimizing systemic toxicity. Radiologists play a crucial role in pre-operative planning, treatment response assessment, and evaluation of potential complications. This article aims to familiarize radiologists with various aspects of HAI pumps.
Article
Radiology, Nuclear Medicine & Medical Imaging
Daria Kifjak, Maximilian Hochmair, Daniel Sobotka, Alexander R. Haug, Raphael Ambros, Florian Prayer, Benedikt H. Heidinger, Sebastian Roehrich, Ruxandra-Iulia Milos, Wolfgang Wadsak, Thorsten Fuereder, Dagmar Krenbek, Andreas Fazekas, Michael Meilinger, Marius E. Mayerhoefer, Georg Langs, Christian Herold, Helmut Prosch, Lucian Beer
Summary: The ability of pretreatment PET parameters and peripheral blood biomarkers to predict PFS and OS in NSCLC patients treated with ICIT was assessed. The study found that MTV and the number of SOI were independent risk factors for progression and overall survival, and the combination of these factors improved risk stratification.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yue Li, Huan Zhang, Lei Yue, Caixia Fu, Robert Grimm, Wenhua Li, Weijian Guo, Tong Tong
Summary: This study evaluated and compared the diagnostic value of diffusion-related texture analysis parameters from different magnetic resonance diffusion models in predicting the clinical response to chemotherapy in patients with colorectal liver metastases. Among the models, DKI-derived parameters showed the best performance for early prediction, followed by IVIM-derived parameters and DWI baseline features.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Oncology
Dominique Reijtenbagh, Jeremy Godart, Joan Penninkhof, Sandra Quint, Andras Zolnay, Jan-Willem Mens, Mischa Hoogeman
Summary: This study compared the performance of the current PotD strategy with non-adaptive and fully online-adaptive techniques in the treatment of cervical cancer patients. The findings show that the PotD protocol is effective in improving normal tissue sparing compared to no adaptation, while fully online-adaptive approaches can further reduce target volume but come with a more complex workflow.
RADIOTHERAPY AND ONCOLOGY
(2024)
Review
Radiology, Nuclear Medicine & Medical Imaging
C. Amedu, B. Ohene-Botwe
Summary: This paper explores the potential of integrating ChatGPT, an advanced conversational AI language model, into radiography education, highlighting its benefits in improving graduate outcomes and digital literacy for students. However, issues related to academic integrity and privacy, as well as the opportunities and challenges presented by this new technology, need to be carefully considered.
Article
Radiology, Nuclear Medicine & Medical Imaging
Renhui Cai, Juan Xu, Chaoqun Yan, Jie Wang, L. I. Wang, Leizhi Ku, Di Zhou, L. I. Zhu, Chunli He, Xinxiang Zhao, Xiaojing Ma
Summary: This paper analyzes the correlation between imaging features and ECG features in patients with coronary artery fistula (CAF). The study finds significant differences in ECG characteristics between coronary-cameral fistula (CCF) and coronary-pulmonary artery fistula (CPAF). Surgical treatment can improve ECG findings in some patients.
Article
Radiology, Nuclear Medicine & Medical Imaging
Y. X. Tay, G. Y. H. Ng, M. Xue, C. X. Y. Lim, C. -w. Hsiao, Y. -m. Wei, C. c. -p. Ong
Summary: Newly qualified radiographers often face challenges and intimidation in the operating theatre. A collaborative education programme using simulation and assessment checklists proved to be effective in improving their competency and performance.
Article
Computer Science, Artificial Intelligence
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
Summary: Survival analysis is a valuable tool in healthcare for predicting the time to specific events. This paper introduces CenTime, a novel approach that directly estimates the time to event. The method performs well with censored data and can be easily integrated with deep learning models. Compared to standard methods, CenTime offers superior performance in predicting event time while maintaining comparable ranking performance.
MEDICAL IMAGE ANALYSIS
(2024)
Article
Oncology
Elia Lombardo, Jennifer Dhont, Denis Page, Cristina Garibaldi, Luise A. Kuenzel, Coen Hurkmans, Rob H. N. Tijssen, Chiara Paganelli, Paul Z. Y. Liu, Paul J. Keall, Marco Riboldi, Christopher Kurz, Guillaume Landry, Davide Cusumano, Marco Fusella, Lorenzo Placidi
Summary: This paper describes the steps and available solutions for intra-fractional motion management in MRIgRT, and proposes a 3D compensation method for motion-induced over- or under-dosage with minimal impact on radiotherapy treatment time. Artificial intelligence is emphasized as a fast and accurate alternative to conventional algorithms.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
David J. H. Wu, Jean-Emmanuel Bibault
Summary: This study examines the use of GPT-4 in monitoring radiation toxicity during prostate cancer treatments. Two methods, summarization and chatbot interface, were tested. Radiation oncologists surveyed preferred the summarization method for its accuracy and potential for adoption, and both methods saved time.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Kendall Kiser, Joshua Schiff, Eric Laugeman, Taeho Kim, Olga Green, Casey Hatscher, Hyun Kim, Shahed Badiyan, Matthew Spraker, Pamela Samson, Clifford Robinson, Alex Price, Lauren Henke
Summary: This study evaluated the feasibility of optical skin surface-guided gating for SBRT treatment, achieving successful breath-hold in 92% of treatments. After three months, no local recurrences or acute grade >= 3 toxicities were observed.
CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Y. Al-Hayek, K. Spuur, R. Davidson, C. Hayre, G. Currie, X. Zheng
Summary: This study reports on the current practice and knowledge accuracy of Australian radiographers regarding inappropriate patient centring during CT. The results show inconsistent practices and knowledge gaps among radiographers, highlighting the importance of continuous professional development programs to improve patient positioning accuracy and dose management.
Article
Oncology
Fabio L. Cury, Gustavo A. Viani, Andre G. Gouveia, Camila V. S. Freire, Gabriel de A. Grisi, Fabio Y. Moraes
Summary: In limb-sparing treatment of soft tissue sarcoma patients, a 5-day course of preoperative radiotherapy results in high local control and favorable R0 margins, with acceptable complication rates, particularly for patients receiving higher biological equivalent doses.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Chemistry, Inorganic & Nuclear
S. Chasapoglou, M. Kokkoris, R. Vlastou, M. Diakaki, V. Michalopoulou, A. Kalamara, G. Gkatis, A. Stamatopoulos, M. Axiotis, S. Harissopulos, A. Lagoyannis, M. I. Savva, T. Vasilopoulou, C. Lederer-Woods, N. Patronis, K. Kaperoni
Summary: This study investigated the accuracy and limitations of theoretical corrections in neutron-induced reactions on isotopically enriched Ge targets. Experimental cross-section measurements were conducted on several reactions using Ge-nat and isotopically enriched Ge targets. The results showed that the methodology using isotopically enriched targets provided accurate results without the need for theoretical corrections.
APPLIED RADIATION AND ISOTOPES
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jorge Abreu-Gomez, Christopher Lim, Masoom A. Haider
Summary: PI-RADSv2.1 made important modifications for the assessment of category 3 lesions, with a small impact. The combination of PSAD is the most likely approach to aid in clinical decision making for PI-RADS 3 category. Commercially available fluidic markers are being used to supplement this, but further evidence is needed to improve the accuracy of PI-RADS alone in detecting csPCa.
RADIOLOGIC CLINICS OF NORTH AMERICA
(2024)
