Article
Computer Science, Artificial Intelligence
Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Shanshan Guo, Fei Gao, Dinggang Shen
Summary: This article proposes a learning-based method to reconstruct high-dose positron emission tomography (PET) images from low-dose PET images and corresponding total-body computed tomography (CT) images. The proposed hierarchical framework can consistently improve the performance of all body parts and outperforms the state-of-the-art methods in single-photon emission computed tomography (SPET) image reconstruction, with a peak signal-to-noise ratio (PSNR) of 30.6 dB for total-body PET images.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Information Systems
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael Fulham, Jinman Kim
Summary: Multimodal PET-CT combines PET's sensitivity for tumor detection with CT's anatomical information for cancer assessment. Existing automated segmentation methods are often ineffective, leading to manual segmentation by imaging experts which is labor-intensive and error-prone.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Biology
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
Summary: In this study, a multi-task, multi-scale learning framework is proposed to predict patient survival and treatment response. The results show that this framework can extract meaningful and powerful features, improving the performance of radiomics. The subsidiary tasks provide an inductive bias, enabling the model to better generalize.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Engineering, Biomedical
Hengzhi Xue, Qingqing Fang, Yudong Yao, Yueyang Teng
Summary: This paper proposes a postprocessing method based on graph convolutional networks (GCN) to improve tumor segmentation results in whole-body positron emission tomography/computed tomography (PET/CT) scans. The experimental results show that this method can effectively improve the performance of tumor segmentation.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Biochemical Research Methods
Palak Wadhwa, Kris Thielemans, Nikos Efthimiou, Kristen Wangerin, Nicholas Keat, Elise Emond, Timothy Deller, Ottavia Bertolli, Daniel Deidda, Gaspar Delso, Michel Tohme, Floris Jansen, Roger N. Gunn, William Hallett, Charalampos Tsoumpas
Summary: This research demonstrates successful computational and physical modelling of the PET-MR system for image acquisition, generating images comparable to those from the manufacturer; the new software developments will be integrated into STIR, providing researchers worldwide with opportunities to establish and expand their image reconstruction methods; by modelling all effects within the system matrix, PET images showing the metabolic uptake of administered radiopharmaceuticals were reconstructed accurately.
Article
Computer Science, Information Systems
Kishore Krishnagiri Manoj Doss, Pei En Mion, Yu-Chieh Jill Kao, Tsung-Ter Kuo, Jyh-Cheng Chen
Summary: This study evaluated the performance of the Bruker sequential micro-PET/MRI scanner according to the NEMA NU 4-2008 standards. The results showed that the scanner had high sensitivity, good spatial resolution, low scatter fraction, and good image quality, indicating its suitability for preclinical imaging studies.
Article
Engineering, Electrical & Electronic
Pablo Galve, Jose Manuel Udias, Alejandro Lopez-Montes, Fernando Arias-Valcayo, Juan Jose Vaquero, Manuel Desco, Joaquin L. Herraiz
Summary: A novel method using super-iterations to exceed the resolution-noise limits in PET imaging was proposed. Improvement of approximately 10% in resolution and recovery coefficient was achieved while maintaining the same noise level. Qualitative results confirmed the enhancement in image quality from the proposed method.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2021)
Article
Computer Science, Information Systems
Xiaoya Qiao, Chunjuan Jiang, Panli Li, Yuan Yuan, Qinglong Zeng, Lei Bi, Shaoli Song, Jinman Kim, David Dagan Feng, Qiu Huang
Summary: This paper proposes an attentive transformation (AT)-based normalization method for PET tumor segmentation, which dynamically generates pixel-dependent learnable parameters to improve segmentation performance.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Computer Science, Hardware & Architecture
Zhe Chen, Nan Qiu, Hui Feng, Dongfang Dai
Summary: Accurate lung tumor segmentation is crucial for radiotherapy and targeted therapy, and PET and CT imaging provide complementary evidence. This paper proposes a novel joint level set model that integrates PET and CT evidence in a unified energy form for co-segmentation of lung tumors.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Yang Zhou, Zhiwen Yang, Hui Zhang, Eric I-Chao Chang, Yubo Fan, Yan Xu
Summary: This study presents a novel segmentation guided style-based generative adversarial network (SGSGAN) for PET synthesis, which utilizes a style-based generator with style modulation to control hierarchical features in the translation process to generate images with more realistic textures, and adopts a task-driven strategy by combining a segmentation task with a generative adversarial network (GAN) framework to enhance translation performance. Extensive experiments demonstrate the superiority of the overall framework in PET synthesis, especially on regions of interest.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Scott D. Wollenweber, Adam M. Alessio, Paul E. Kinahan
Summary: This work aims to describe a methodology for comparing small lesion detectability between PET imaging systems and reconstruction algorithms. The proposed approach includes the use of different sized phantoms and a multi-scan data collection method. The results show that system sensitivity and TOF technology have a positive impact on small lesion detectability.
Article
Engineering, Biomedical
Seung Kwan Kang, Jae Sung Lee
Summary: This study proposes a Bowsher prior based on the l(1)-norm and an iteratively reweighting scheme for Anatomy-Guided regularized PET image reconstruction, which overcomes the limitations of the original Bowsher method and improves small lesion detection and contrast enhancement.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Computer Science, Information Systems
Hao Sun, Lihong Peng, Hongyan Zhang, Yuru He, Shuangliang Cao, Lijun Lu
Summary: In this study, a novel deep learning denoising framework, DeepRED denoising, was proposed to enhance the quantitative accuracy of PET images. Compared to conventional methods, DeepRED denoising shows significant improvements in both visual and quantitative accuracy, with and without prior images.
Editorial Material
Hematology
Andrew Wirth, N. George Mikhaeel
Summary: This study demonstrates that in patients with DLBCL, those who are EOT PET-negative may be spared from radiotherapy, while selected patients with EOT PET-positive sites can achieve outcomes comparable to PET-negative patients when receiving selective treatment.
Article
Computer Science, Interdisciplinary Applications
Lei Bi, Michael Fulham, Nan Li, Qiufang Liu, Shaoli Song, David Dagan Feng, Jinman Kim
Summary: A recurrent fusion network (RFN) is proposed in this study to progressively fuse multi-modality image features through multiple recurrent fusion phases, producing consistent segmentation results across different network architectures. The RFN method shows more accurate segmentation compared to existing methods and is generalizable to different datasets.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chong Zhang, Zhenwei Shi, Petros Kalendralis, Phil Whybra, Craig Parkinson, Maaike Berbee, Emiliano Spezi, Ashley Roberts, Adam Christian, Wyn Lewis, Tom Crosby, Andre Dekker, Leonard Wee, Kieran G. Foley
Summary: The study aimed to improve clinical lymph node staging in oesophageal adenocarcinoma through the development and validation of three prediction models. The model combining clinical variables and PET radiomics showed the best performance in discriminating lymph node metastases in the external validation cohort, although the results were not fully replicated externally.
BRITISH JOURNAL OF RADIOLOGY
(2021)
Article
Acoustics
Matthieu Blons, Thomas Deffieux, Bruno -Felix Osmanski, Mickael Tanter, Beatrice Berthon
Summary: Ultrafast ultrasound is an emerging imaging modality that provides high spatial and temporal resolution. In this study, a real-time enhancement strategy based on deep-learning techniques was proposed to improve the quality of Doppler imaging. The proposed method outperformed standard filters in reducing noise, increasing contrast, and preserving details.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2023)
Article
Acoustics
Jean-baptiste Guillaumin, Lounes Djerroudi, Jean-francois Aubry, Anne Tardivon, Mickeal Tanter, Anne Vincent-salomon, Beatrice Berthon
Summary: Changes in the structural orientation of soft tissue fibers can serve as relevant markers for diagnosis, and backscatter tensor imaging (BTI) is a low-cost ultrasound imaging method that can be used to assess the local organization of soft tissues. This study presented a methodology for performing BTI in ex vivo human breast tumors using a linear probe for the first time and provided a proof of concept for the link between BTI measurements and the orientation of collagen fibers.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Elisabetta Cagni, Andrea Botti, Matteo Orlandi, Marco Galaverni, Cinzia Iotti, Mauro Iori, Geraint Lewis, Emiliano Spezi
Summary: This paper presents a deformable image registration-based method for the quality assurance of head and neck adaptive radiotherapy using digitally post-processed anthropomorphic phantom image datasets. The main finding is that spatial and dose errors depend on the magnitude of deformation and the gradient of the dose distribution. Accurate and efficient patient-specific deformable image registration validation methodology is not yet established and there is a need to develop suitable tools for this purpose. A novel methodology was developed to evaluate the quality of computed tomography (CT) and on-board cone-beam CT (CBCT) image registrations, and the method showed the ability to quantify spatial errors and assess their dose impact.
APPLIED SCIENCES-BASEL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Martina Mori, Chiara Deantoni, Michela Olivieri, Emiliano Spezi, Anna Chiara, Simone Baroni, Maria Picchio, Antonella Del Vecchio, Nadia Gisella Di Muzio, Claudio Fiorino, Italo Dell'Oca
Summary: The purpose of this study is to validate published F-18-FDG-PET radiomic models for outcome prediction in patients with oropharyngeal cancer. The results showed that the performance of the radiomic model was similar to using only the metabolic tumor volume (MTV), without improving the prediction accuracy.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Multidisciplinary Sciences
Beatrice Berthon, Antoine Bergel, Marta Matei, Mickael Tanter
Summary: Functional Ultrasound (fUS) provides high-resolution and high-sensitivity spatial and temporal frames of vascular activity in the brain. However, the resulting data is currently underused due to the lack of proper visualization and interpretation tools. This study demonstrates that neural networks can utilize the information in fUS datasets to accurately determine behavior after appropriate training.
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Multidisciplinary
Iona Foster, Emiliano Spezi, Philip Wheeler
Summary: This study investigated the use of machine learning to personalize automated planning (AP) protocols for cancer patients. The results showed that personalized AP protocols yielded similar treatment outcomes to standard AP protocols.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Philip Whybra, Emiliano Spezi
Summary: The study investigates the impact of converting contours to masks in radiomics feature calculation. It shows that there are discrepancies in masks and features depending on the contour to mask conversion technique used in different medical imaging software. This can affect patient clustering and radiomic-based modeling in multi-center studies.
SCIENTIFIC REPORTS
(2023)
Article
Medicine, General & Internal
Somnath Mukherjee, Christopher N. Hurt, Richard Adams, Andrew Bateman, Kevin M. Bradley, Sarah Bridges, Stephen Falk, Gareth Grif, Sarah Gwynne, Christopher M. Jones, PhilipJ. Markham, Tim Maughan, Lisette S. Nixon, Ganesh Radhakrishna, Rajarshi Roy, Simon Schoenbuchner, Hamid Sheikh, Emiliano Spezi, Maria Hawkins, Thomas D. L. Crosby
Summary: This study evaluated the role of F-18-Fluorodeoxyglucose positron emission tomography in assessing treatment response in patients with oesophageal cancer. The results showed that early metabolic response assessment after induction chemotherapy is not prognostic for treatment failure-free survival or overall survival, and should not be used to personalize systemic therapy selection.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sara Loi, Martina Mori, Diego Palumbo, Stefano Crippa, Gabriele Palazzo, Emiliano Spezi, Antonella Del Vecchio, Massimo Falconi, Francesco De Cobelli, Claudio Fiorino
Summary: This study investigated the impact of image interpolation and discretization on the discriminative power of CT radiomic features (RF) in predicting early distant relapses after pancreatic cancer surgery. The results showed that although RF varied significantly with interpolation and discretization parameters, the AUC changes were relatively small for the 30 RF significantly associated with EDR.
Meeting Abstract
Oncology
A. Duman, P. Whybra, J. Powell, S. Thomas, X. Sun, E. Spezi
RADIOTHERAPY AND ONCOLOGY
(2023)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
E. Alsyed, R. Smith, L. Bartley, C. Marshall, E. Spezi
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
E. Alsyed, R. Smith, L. Bartley, C. Marshall, E. Spezi
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Meeting Abstract
Oncology
C. Welgemoed, E. Spezi, D. Gujral, R. McLauchlan, E. Aboagye
RADIOTHERAPY AND ONCOLOGY
(2021)
Meeting Abstract
Oncology
I. Foster, P. Wheeler, E. Spezi, J. Staffurth, A. Millin
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Oncology
Derek A. Mumaw, Allison J. Hazy, Aleksander Vayntraub, Thomas J. Quinn, Kamran Salari, John H. Chang, Noah Kalman, Sanford Katz, James Urbanic, Robert H. Press, Arpi Thukral, Henry Tsai, George E. Laramore, Jason Molitoris, Carlos Vargas, Samir H. Patel, Craig Stevens, Rohan L. Deraniyagala
Summary: This study evaluated contralateral recurrences in patients with oropharyngeal squamous cell carcinoma who received unilateral proton beam therapy. The results showed a favorable contralateral neck failure rate that was comparable to photon irradiation.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Kangpyo Kim, Dongryul Oh, Jae Myoung Noh, Yang Won Min, Hong Kwan Kim, Yong Chan Ahn
Summary: This study suggests that hypofractionated radiation therapy alone is a feasible option for early stage esophageal squamous cell carcinoma patients. Particularly, in patients with tumor length < 3 cm, this treatment scheme shows favorable local control rates with low incidence of esophageal toxicities.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Lin Chen, Jing Li, Kunpeng Li, Jiang Hu, Qingjie Li, Chenglong Huang, Gaoyuan Wang, Na Liu, Linglong Tang
Summary: This study analyzed the probability of hearing impairment after radiotherapy for nasopharyngeal carcinoma and developed a predictive model, providing dose limitation suggestions to improve patients' quality of life.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Yiwei Yang, Jianxin Wang, Feng Gao, Zhen Liu, Tangzhi Dai, Haowen Zhang, Hongyu Zhu, Tingting Wang, Dexin Xiao, Kui Zhou, Zheng Zhou, Dai Wu, Xiaobo Du, Sen Bai
Summary: This paper provides a comprehensive description of the current status of PARTER, which is the first experimental FLASH platform utilizing megavoltage X-rays. It showcases the reliable performance and stability of the dosimeters and monitors used in PARTER, as well as the satisfactory dose distribution and characteristics of the FLASH X-rays. The platform effectively meets the requirements of preclinical research on megavoltage X-ray FLASH and undergoes continuous upgrades.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Maria Thor, Kelly Fitzgerald, Aditya Apte, Jung Hun Oh, Aditi Iyer, Otasowie Odiase, Saad Nadeem, Ellen D. Yorke, Jamie Chaft, Abraham J. Wu, Michael Offin, Charles B. Simone Ii, Isabel Preeshagul, Daphna Y. Gelblum, Daniel Gomez, Joseph O. Deasy, Andreas Rimner
Summary: The purpose of this study was to identify predictors of disease progression in early-stage non-small cell lung cancer (NSCLC) patients after receiving definitive stereotactic body radiation therapy (SBRT). The results showed that tumor diameter and SUVmax were the most frequently reported features associated with progression/survival, and a re-fitted model including these two features had the best performance.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Yong-Qiao He, Tong-Min Wang, Da-Wei Yang, Wen-Qiong Xue, Chang-Mi Deng, Dan-Hua Li, Wen-Li Zhang, Ying Liao, Ruo-Wen Xiao, Lu-Ting Luo, Hua Diao, Xia-Ting Tong, Yan-Xia Wu, Xue-Yin Chen, Jiang-Bo Zhang, Ting Zhou, Xi-Zhao Li, Pei-Fen Zhang, Xiao-Hui Zheng, Shao-Dan Zhang, Ye-Zhu Hu, Guan-Qun Zhou, Jun Ma, Ying Sun, Wei-Hua Jia
Summary: In this study, researchers aimed to establish a predictive model for radiation-induced brain injury (RBI) in nasopharyngeal carcinoma (NPC) patients by incorporating clinical factors and newly developed genetic variants. They conducted a large-scale retrospective study and a genome-wide association study to develop a polygenic risk score (PRS) for RBI risk prediction. The results showed that the PRS, combined with clinical factors, improved the accuracy of RBI risk stratification and suggested personalized radiotherapy.
RADIOTHERAPY AND ONCOLOGY
(2024)
Review
Oncology
Xiaoyong Xiang, Zhe Ji, Jing Jin
Summary: A review of studies suggests that brachytherapy as a salvage therapy for recurrent glioblastoma shows acceptable safety and good post-treatment clinical efficacy for selected patients.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
M. Berbee, C. T. Muijs, F. E. M. Voncken, L. Wee, M. Sosef, B. van Etten, J. W. van Sandick, F. A. R. M. Warmerdam, J. J. de Haan, E. Oldehinkel, J. M. van Dieren, L. Boersma, J. A. Langendijk, A. van der Schaaf, J. B. Reitsma, E. Schuit
Summary: This study externally validated a model for predicting 2-year total mortality in lung cancer patients in esophageal cancer patients. The intercept and/or slope of the original model needed adjustment to achieve good performance in esophageal cancer patients.
RADIOTHERAPY AND ONCOLOGY
(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)
Article
Oncology
Albrecht Weiss, Steffen Loeck, Ting Xu, Zhongxing Liao, Aswin L. Hoffmann, Esther G. C. Troost
Summary: Traditional models for predicting radiation pneumonitis may not be applicable to non-small cell lung cancer patients treated with passively-scattered proton therapy. The use of effective alpha/beta parameter can predict the occurrence of radiation pneumonitis in these patients.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Z. A. R. Gouw, J. Jeong, A. Rimner, N. Y. Lee, A. Jackson, A. Fu, J-j. Sonke, J. O. Deasy
Summary: This study investigates the effectiveness of non-uniform fractionation schedules in radiotherapy for early-stage non-small cell lung cancer. Through modeling, optimized schedules are proposed to minimize local failures and toxicity risk. The results suggest that non-standard primer shot fractionation can reduce hypoxia-induced radioresistance and improve treatment outcomes.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Sara Ronchi, Alessandro Cicchetti, Maria Bonora, Rossana Ingargiola, Anna Maria Camarda, Stefania Russo, Sara Imparato, Paolo Castelnuovo, Ernesto Pasquini, Piero Nicolai, Mohssen Ansarin, Michele Del Vecchio, Marco Benazzo, Ester Orlandi, Barbara Vischioni
Summary: This study evaluates the efficacy and toxicity of carbon ion radiotherapy (CIRT) in locally advanced head and neck mucosal melanoma patients. The results show that CIRT is safe and effective in treating the local region, and immunotherapy after relapse can improve overall survival. However, further prospective trials are needed to assess the role of targeted/immune- systemic therapy in this disease.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Dominik Wawrzuta, Justyna Klejdysz, Marzanna Chojnacka
Summary: This study analyzed articles about radiation oncology published in The New York Times since its inception in 1851, and identified changes in media sentiment and prevalent themes related to radiotherapy. The findings suggest an increasing negative sentiment in media coverage towards radiotherapy, with a shift towards reporting treatment errors, toxicity, and ineffectiveness.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Elaine Limkin, Pierre Blanchard, Benjamin Lacas, Jean Bourhis, Mahesh Parmar, Lisa Licitra, Quynh-Thu Le, Sue S. Yom, Catherine Fortpied, Johannes Langendijk, Jan B. Vermorken, Jacques Bernier, Jens Overgaard, Jonathan Harris, Jean-Pierre Pignon, Anne Auperin
Summary: This study investigated the impact of season of radiotherapy on the outcomes of head and neck squamous cell cancer patients. The results showed that the season of radiotherapy did not have any significant effect on patient outcomes.
RADIOTHERAPY AND ONCOLOGY
(2024)
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)
