Article
Engineering, Biomedical
Pavel Stavrev, Nadejda Stavreva, Ruggero Ruggieri, Alan E. Nahum, Dobromir Pressyanov
Summary: This study investigates the use of two tumor control probability (TCP) models to analyze animal dose-response data exhibiting inverse dose-response behavior. The models take into account tumor hypoxia and re-oxygenation leading to resensitization of the tumor. The study finds that both models adequately describe the data and demonstrate the impact of resensitization on treatment outcomes. Additionally, the study shows that prolonged treatment schedules may be more beneficial than shorter ones, but only for hypo-fractionated treatments.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Cathy Fleming, Serena O'Keeffe, Ronan McDermott, Mary Dunne, Brendan McClean, Luis Leon Vintro
Summary: This study examined the impact of the Acuros XB (AXB) dose calculation algorithm on plans for patients with locally advanced non-small cell lung cancer (LA-NSCLC). Results showed that although there were differences in dose metrics between algorithms, normalization of plans to the mean/median dose to the target does not need to be adjusted, and organ-at-risk (OAR) point doses may decrease by up to 1 Gy with AXB(Dm), which can be considered in clinical planning. Other OAR metrics do not need to be adjusted.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2021)
Review
Immunology
Yanhong Shi, Xiaoyan Ma, Dan He, Bingwei Dong, Tianyun Qiao
Summary: The utilization of neoadjuvant immunotherapy has shown promising clinical outcomes for early-stage resectable non-small-cell lung cancer (NSCLC). However, it is essential to develop novel neoadjuvant combination therapy regimens incorporating immunotherapy to increase the proportion of benefiting patients.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Maddison Shaw, Jessica Lye, Andrew Alves, Joerg Lehmann, Masoumeh Sanagou, Moshi Geso, Rhonda Brown
Summary: This study presents correction factors for dose measurements in a lung phantom, which showed inaccuracies of common dose calculation algorithms in soft tissue lung target, inhale lung material, and tissue interfaces. Monte Carlo based simulation was used to determine the correction factors and improved the measurement-to-plan dose discrepancy. The study concludes that dose calculation algorithms can underestimate dose at lung tumour/lung tissue interfaces and the application of correction factors is necessary.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2023)
Article
Engineering, Multidisciplinary
Jesus J. Bosque, Gabriel F. Calvo, Maria Cruz Navarro
Summary: Microscale oxygenation plays an important role in tumor progression. The spatial and temporal variability of oxygen distribution in the tumor microenvironment affects cellular heterogeneity and the resistance to treatments. This study presents a transport-based mathematical model to describe the dynamics of healthy and tumor cells in a region between blood vessels. The analysis of oxygen and temperature profiles under different vascular conditions reveals that low oxygen levels are associated with elevated temperatures in hypoxic areas and hyperthermia-induced cell death is dependent on disrupted local vasculature. The results provide quantitative insight into sub-voxel physiological and biological processes that are not accessible through standard functional imaging methods.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Oncology
Sumeet Hindocha, Thomas G. Charlton, Kristofer Linton-Reid, Benjamin Hunter, Charleen Chan, Merina Ahmed, Emily J. Greenlay, Matthew Orton, Catey Bunce, Jason Lunn, Simon J. Doran, Shahreen Ahmad, Fiona McDonald, Imogen Locke, Danielle Power, Matthew Blackledge, Richard W. Lee, Eric O. Aboagye
Summary: Radiomic classification models using radiotherapy planning CT scans can predict overall survival, recurrence-free survival, and two-year recurrence risk stratification for NSCLC patients. These models can inform personalized surveillance strategies and have potential for future clinical trials.
NPJ PRECISION ONCOLOGY
(2022)
Article
Oncology
Filippo Schiavo, Iuliana Toma-Dasu, Emely Kjellsson Lindblom
Summary: Treating hypoxic tumors remains challenging due to enhanced aggressiveness and radiation resistance. Current functional in-vivo imaging systems have limitations in resolving oxygen transport. Computational modeling allows for assessing the influence of vascular characteristics and oxygenation on treatment outcomes.
Review
Pharmacology & Pharmacy
Zdenek Kejik, Robert Kaplanek, Petr Dytrych, Michal Masarik, Katerina Vesela, Nikita Abramenko, David Hoskovec, Martina Vasakova, Jarmila Kralova, Pavel Martasek, Milan Jakubek
Summary: Designing optimal adjuvant therapy is crucial in treating non-small-cell lung carcinoma. Standard methods may not be effective in cases with high level of CTCs, thus alternative therapeutic strategies like low-toxicity natural agents may be considered when standard methods fail. This review discusses NSCLC therapy strategies and potential options for treatment beyond standard methods.
Review
Oncology
Marina Milic, Michele Mondini, Eric Deutsch
Summary: Despite extensive research and clinical efforts, lung cancer remains the leading cause of cancer-related deaths. Stereotactic body radiotherapy (SBRT) has revolutionized the treatment of early-stage non-small-cell lung cancer (NSCLC), but further research is needed to understand drug resistance mechanisms and develop new treatments. Successful translation of preclinical research into clinical progress has been challenging thus far.
Article
Geriatrics & Gerontology
Julius Keyl, Rene Hosch, Aaron Berger, Oliver Ester, Tobias Greiner, Simon Bogner, Juergen Treckmann, Saskia Ting, Brigitte Schumacher, David Albers, Peter Markus, Marcel Wiesweg, Michael Forsting, Felix Nensa, Martin Schuler, Stefan Kasper, Jens Kleesiek
Summary: Automated assessment of body composition and liver metastases from CT images can contribute to personalized survival risk prediction in advanced colorectal cancer patients. The ratio of abdominal muscle-to-bone (MBR) was found to be significantly associated with overall survival. A prediction model based on MBR, liver metastasis surface area, and primary tumour sidedness achieved a concordance index of 0.69.
JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE
(2023)
Article
Oncology
Daisaku Yoshida, Terufumi Kusunoki, Yoshiki Takayama, Yohsuke Kusano, Shinichi Minohara, Kio Kano, Wataru Anno, Keisuke Tsuchida, Yosuke Takakusagi, Nobutaka Mizoguchi, Itsuko Serizawa, Takeshi Ebara, Hiroyuki Katoh
Summary: In this study, scanning carbon ion radiotherapy (sCIRT) showed better dose distribution and lower dose compared to volumetric-modulated arc therapy with stereotactic body radiation therapy (VMAT-SBRT) for stage I non-small cell lung cancer patients.
ANTICANCER RESEARCH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zuhir Bodalal, Nino Bogveradze, Leon C. ter Beek, Jose G. van den Berg, Joyce Sanders, Ingrid Hofland, Stefano Trebeschi, Kevin B. W. Groot Lipman, Koen Storck, Eun Kyoung Hong, Natalya Lebedyeva, Monique Maas, Regina G. H. Beets-Tan, Fernando M. Gomez, Ieva Kurilova
Summary: This retrospective proof-of-principle study explores the potential of MRI-derived imaging markers in predicting tumour hypoxia non-invasively in patients with colorectal liver metastases (CLM). The results suggest that MRI-derived imaging markers can predict tumour hypoxia.
INSIGHTS INTO IMAGING
(2023)
Article
Oncology
Donald B. Fuller, Tami Crabtree, Brent L. Kane, Clinton A. Medbery, Robert Pfeffer, James R. Gray, Anuj Peddada, Trevor J. Royce, Ronald C. Chen
Summary: This study investigated the long-term outcomes of prostate stereotactic body radiotherapy (SBRT) in 259 low- and intermediate-risk patients. The results showed that SBRT was safe and effective for low-risk and favorable intermediate-risk patients, but had poorer outcomes for unfavorable intermediate-risk patients.
FRONTIERS IN ONCOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang
Summary: This paper introduces a parameter-dependent framework that trains a reconstruction network with data from multiple alternative geometries and dose levels simultaneously, reducing extra training costs for multiple geometries and dose levels.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Health Care Sciences & Services
Fengying Zhang, Yan Liu, Weijie Ma, Shengming Zhao, Jin Chen, Zhichun Gu
Summary: This study systematically assessed previous studies on nonlinear machine learning algorithms for warfarin dose prediction, finding poor methodological quality and a high risk of bias in most studies. External validity and model reproducibility were lacking. The study suggests future research should focus on external validity, diminish bias, and improve clinical relevance.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ruggero Ruggieri, Pavel Stavrev, Stefania Naccarato, Nadejda Stavreva, Filippo Alongi, Alan E. Nahum
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2017)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alba Fiorentino, Rosario Mazzola, Stefania Naccarato, Niccolo Giaj-Levra, Sergio Fersino, Gianluisa Sicignano, Umberto Tebano, Francesco Ricchetti, Ruggero Ruggieri, Filippo Alongi
Article
Radiology, Nuclear Medicine & Medical Imaging
Alba Fiorentino, Umberto Tebano, Gianluisa Sicignano, Francesco Ricchetti, Gioacchino Di Paola, Dario Aiello, Niccolo Giaj-Levra, Rosario Mazzola, Sergio Fersino, Ruggero Ruggieri, Filippo Alongi
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2018)
Article
Oncology
Ruggero Ruggieri, Stefania Naccarato, Rosario Mazzola, Francesco Ricchetti, Stefanie Corradini, Alba Fiorentino, Filippo Alongi
RADIATION ONCOLOGY
(2018)
Meeting Abstract
Oncology
N. Stavreva, P. Stavrev, D. Penev
RADIOTHERAPY AND ONCOLOGY
(2018)
Meeting Abstract
Oncology
P. Stavrev, N. Stavreva, A. Nahum, D. Pressyanov
RADIOTHERAPY AND ONCOLOGY
(2018)
Article
Engineering, Biomedical
Pavel Stavrev, Nadejda Stavreva, Dimitar Penev, Alan Nahum, Ruggero Ruggieri, Dobromir Pressyanov
PHYSICS IN MEDICINE AND BIOLOGY
(2018)
Article
Oncology
Ruggero Ruggieri, Stefania Naccarato, Rosario Mazzola, Francesco Ricchetti, Stefanie Corradini, Alba Fiorentino, Filippo Alongi
RADIOTHERAPY AND ONCOLOGY
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Nadejda Stavreva, Pavel Stavrev, Anna Balabanova, Alan Nahum, Ruggero Ruggieri, Dobromir Pressyanov
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ruggero Ruggieri, Michele Rigo, Stefania Naccarato, Davide Gurrera, Vanessa Figlia, Rosario Mazzola, Francesco Ricchetti, Luca Nicosia, Niccolo Giaj-Levra, Francesco Cuccia, Claudio Vitale, Nadejda Stavreva, Dobromir S. Pressyanov, Pavel Stavrev, Roberto Pellegrini, Filippo Alongi
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2020)
Article
Chemistry, Analytical
Dobromir Pressyanov, Pavel Stavrev
Summary: A method for the retrospective evaluation of Xe-133 integrated activity concentration using polycarbonate material samples was proposed and found to accurately qualitatively identify events with different activity concentrations and durations in Xe-133 plumes.
Article
Oncology
Pavel Stavrev, Nadejda Stavreva, Boriana Genova, Ruggero Ruggieri, Filippo Alongi, Alan E. Nahum, Dobromir Pressyanov
Summary: This study analyzed clinical data on high dose rate mono brachytherapy of prostate cancer using a mechanistic tumor control probability model, indicating the possible re-sensitization of tumors during treatment, which explains the better outcome of prolonged treatment schedules.
Meeting Abstract
Oncology
A. Balabanova, B. Genova, P. Stavrev
RADIOTHERAPY AND ONCOLOGY
(2018)