Article
Oncology
Jun Liu, Yukun Si, Ziang Zhou, Xu Yang, Cuicui Li, Luodan Qian, Li Juan Feng, Mingyu Zhang, Shu Xin Zhang, Jie Liu, Ying Kan, Jianhua Gong, Jigang Yang
Summary: This study aimed to evaluate the prognostic value of intratumoral metabolic heterogeneity in primary tumor lesions of neuroblastoma (NB) patients. The results showed that intratumoral metabolic heterogeneity of primary lesions was associated with event-free survival (EFS), and patients with higher intratumoral metabolic heterogeneity and bone marrow involvement (BMI) had worse outcomes.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sangwon Han, Yong-il Kim, Jungsu S. Oh, Seung Yeon Seo, Min-Jae Park, Geun Dong Lee, Sehoon Choi, Hyeong Ryul Kim, Yong-Hee Kim, Dong Kwan Kim, Seung-Il Park, Jin-Sook Ryu
Summary: The study evaluated the diagnostic and prognostic value of pretreatment 2-[F-18]FDG PET/CT in TETs patients. The results showed that SUVmax was excellent in distinguishing thymic carcinoma from other subtypes (low-risk thymoma, high-risk thymoma) and had significant prognostic value for predicting TC.
EUROPEAN RADIOLOGY
(2022)
Article
Multidisciplinary Sciences
Rakel Nyren, Henrik Scherman, Jan Axelsson, Chuchun L. Chang, Gunilla Olivecrona, Madelene Ericsson
Summary: High-fat diet and diabetes influence substrate preferences and energy demands in the heart and cause diabetic nephropathy. PET/CT has been used to examine energy substrate uptake and metabolic changes. However, conventional PET/CT scanning may be challenging for organs with low uptake, such as the kidney.
Article
Radiology, Nuclear Medicine & Medical Imaging
Gaetan Van Simaeys, Gilles Doumont, Coraline De Maeseneire, Nicolas Passon, Simon Lacroix, Cedric Lentz, Arnaud Horion, Corentin Warnier, David Torres, Corentin Martens, Irina Vierasu, Dominique Egrise, Serge Goldman
Summary: This preclinical study evaluated the changes in PSMA expression in CRPC tumors following standard treatment using [F-18]JK-PSMA-7 PET/CT. The results showed that PSMA expression decreased in tumor cells after successive ADT and chemotherapy, leading to a reduction in [F-18]JK-PSMA-7 PET uptake. Caution should be exercised when using PSMA-based imaging for therapy monitoring in CRPC patients.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Elizabeth K. A. Triumbari, Elizabeth J. de Koster, Vittoria Rufini, Simona M. Fragomeni, Giorgia Garganese, Angela Collarino
Summary: This study aimed to determine the role of F-18-FDG PET/CT in vulvar cancer patients and found that it has diagnostic value for lymph node staging. Larger prospective studies are needed to confirm these results and evaluate the diagnostic value of standardized semiquantitative analysis compared with qualitative analysis.
CLINICAL NUCLEAR MEDICINE
(2021)
Article
Oncology
Xing Zhou, YingChun Li, Xiao Jiang, XiaoXiong Wang, ShiRong Chen, TaiPeng Shen, JinHui You, Hao Lu, Hong Liao, Zeng Li, ZhuZhong Cheng
Summary: The study compared the application of 18F-FDG and 18F-PSMA-1007 in patients with prostate cancer and found that 18F-PSMA-1007 showed superiority in detection rate and tumor uptake. However, potential misdiagnosis issues exist, which require further vigilance and analysis to improve diagnostic accuracy.
FRONTIERS IN ONCOLOGY
(2021)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Gary A. Ulaner, Peter Giuliano
Summary: A 68-year-old man with right cheek melanoma underwent F-18-FDG PET/CT, which showed FDG-avid lymph nodes in the left axilla post COVID-19 vaccination. These nodes were considered reactive to the vaccination. Although uncommon in the past, this finding becomes important with the increasing number of COVID-19 vaccinations.
CLINICAL NUCLEAR MEDICINE
(2021)
Article
Oncology
Fei Liu, Bingxin Gu, Nan Li, Herong Pan, Wen Chen, Ying Qiao, Shaoli Song, Xiaosheng Liu
Summary: Age and the heterogeneity index derived from baseline PET/CT parameters were significantly correlated with PFS in MCL patients. B symptoms were associated with OS. Other clinicopathologic index and PET/CT metabolic parameters were not related to outcome survival in MCL.
FRONTIERS IN ONCOLOGY
(2022)
Article
Medicine, General & Internal
Cristina Ferrari, Giulia Santo, Nunzio Merenda, Alessia Branca, Paolo Mammucci, Pamela Pizzutilo, Cosmo Damiano Gadaleta, Giuseppe Rubini
Summary: The study showed that using interval changes of PET-derived semi-quantitative parameters could predict immunotherapy treatment response in NSCLC patients. However, immune-related adverse events and activation of lymphoid cell-rich organs did not correlate with clinical benefit.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Esra Arslan, Aytul Hande Yardimci, Enver Yarikkaya, Goksel Alcin, Tevfik Fikret Cermik
Summary: Hyalinizing cholecystitis is a rare subtype of chronic cholecystitis characterized by moderate inflammatory cell infiltration in the gallbladder wall. When observing gallbladder wall thickening with intense F-18-FDG uptake, hyalinizing cholecystitis should be considered in the differential diagnosis.
CLINICAL NUCLEAR MEDICINE
(2021)
Editorial Material
Medicine, General & Internal
Romain-David Seban, Laurence Champion, Nicolas Deleval, Capucine Richard, Claire Provost
Summary: The deployment of COVID-19 vaccines worldwide has led to immune activation, as evidenced by FDG-avid axillary lymph nodes and increased spleen glucose metabolism, reflecting regional and systemic immune responses. These findings suggest that immune response may be associated with increased glucose metabolism in lymphoid organs, emphasizing the importance for nuclear physicians to recognize such immune responses post-vaccination.
Article
Radiology, Nuclear Medicine & Medical Imaging
Paolo Zanotti-Fregonara, Tatsuya Ishiguro, Kosuke Yoshihara, Shiro Ishii, Takayuki Enomoto
Summary: This study investigates the fetal absorbed dose from 18F-FDG administration in pregnant women using PET/MRI imaging. The results confirm that the fetal dose is very low, suggesting that clinically appropriate 18F-FDG scans should not be withheld due to pregnancy.
JOURNAL OF NUCLEAR MEDICINE
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Himanshu Bansal, Mudalsha Ravina, Siddhartha Nanda, Tinu Thadiyananickal Lukose, Sarin Krishna
Summary: This case report describes a patient with cervical cancer who showed intense FDG uptake in white adipose tissue on F-18-FDG PET/CT scan, which was later attributed to herbal medication containing corticosteroids for treating herpes zoster infection.
CLINICAL NUCLEAR MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Guorong Jia, Jian Zhang, Rou Li, Jianhua Yan, Changjing Zuo
Summary: This study retrospectively analyzed 183 PC patients' dual-time F-18-FDG PET/CT scans, showing significant differences in conventional metabolic parameters between early and delayed scans, with 19 out of 59 texture features exhibiting significant differences. Weak correlations were found between some texture features and conventional metabolic parameters. Resectable PC patients had fewer features with significant differences compared to unresectable PC patients.
ABDOMINAL RADIOLOGY
(2021)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Penghao Liu, Jing Huang, Jie Lu, Zan Chen, Wanru Duan
Summary: A 60-year-old woman presented with left upper limb weakness. Spinal MRI revealed C2-C3 heterogeneous mass with no hypermetabolic foci on F-18-FDG PET. Total resection was performed, and the pathology showed gliosis. Her limb weakness worsened 3 months after surgery. Spinal MRI revealed long intramedullary mass from medulla oblongata to C5, which showed obvious hypermetabolism under F-18-FDG PET with an SUVmax of 7.11, but F-18-FET PET indicated mild hypermetabolism with an SUVmax of 2.29. Malignancy was suspected, and C2-C4 biopsy was performed. The pathology results confirmed the diagnosis of gliosis, and the postoperative spinal F-18-FDG PET results were considered pseudoprogression.
CLINICAL NUCLEAR MEDICINE
(2023)
Review
Chemistry, Medicinal
Emilie Anduran, Ludwig L. Dubois, Philippe Lambin, Jean-Yves Winum
Summary: The hypoxic tumor microenvironment presents a persistent challenge in solid tumor treatment. Efforts have been made to develop hypoxia-activated prodrugs (HAPs) of chemotherapeutic compounds to treat hypoxic tumors, but no HAP anti-cancer agent has been commercialized due to the lack of patient stratification based on reliable biomarkers predictive of a positive response to hypoxia-targeted therapy.
EXPERT OPINION ON THERAPEUTIC PATENTS
(2022)
Review
Chemistry, Medicinal
Julien Guiot, Akshayaa Vaidyanathan, Louis Deprez, Fadila Zerka, Denis Danthine, Anne-Noelle Frix, Philippe Lambin, Fabio Bottari, Nathan Tsoutzidis, Benjamin Miraglio, Sean Walsh, Wim Vos, Roland Hustinx, Marta Ferreira, Pierre Lovinfosse, Ralph T. H. Leijenaar
Summary: Radiomics is a method for quantitatively analyzing medical images to create diagnostic, prognostic, and/or predictive models. It utilizes sophisticated image analysis tools and statistical methods to extract hidden information in medical images, but caution is needed to avoid overenthusiastic claims and scientific pollution.
MEDICINAL RESEARCH REVIEWS
(2022)
Article
Health Care Sciences & Services
Turkey Refaee, Zohaib Salahuddin, Yousif Widaatalla, Sergey Primakov, Henry C. Woodruff, Roland Hustinx, Felix M. Mottaghy, Abdalla Ibrahim, Philippe Lambin
Summary: This study investigated the impact of Reconstruction Kernel Normalization and ComBat harmonization on the reproducibility of HRFs across scans acquired with different reconstruction kernels. Most HRFs were found to be sensitive to variations in reconstruction kernels, and using these methods significantly increased the number of reproducible HRFs.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Dimitris Visvikis, Philippe Lambin, Kim Beuschau Mauridsen, Roland Hustinx, Michael Lassmann, Christoph Rischpler, Kuangyu Shi, Jan Pruim
Summary: This review explores the potential applications of artificial intelligence (AI) in the fields of nuclear medicine and molecular imaging, highlighting both the physical and clinical perspectives. It discusses the challenges of transferring AI research into clinical practice and the concept of explainable AI. Furthermore, it focuses on the challenges that need to be addressed to introduce AI in a reliable manner in this field.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Multidisciplinary Sciences
Sergey P. Primakov, Abdalla Ibrahim, Janita E. van Timmeren, Guangyao Wu, Simon A. Keek, Manon Beuque, Renee W. Y. Granzier, Elizaveta Lavrova, Madeleine Scrivener, Sebastian Sanduleanu, Esma Kayan, Iva Halilaj, Anouk Lenaers, Jianlin Wu, Rene Monshouwer, Xavier Geets, Hester A. Gietema, Lizza E. L. Hendriks, Olivier Morin, Arthur Jochems, Henry C. Woodruff, Philippe Lambin
Summary: Accurate interpretation of CT scans is crucial for assessing a patient's disease. This study presents a system that automatically segments non-small cell lung cancer on CT images, demonstrating faster and more reproducible results compared to clinicians.
NATURE COMMUNICATIONS
(2022)
Review
Oncology
Erich P. Huang, James P. B. O'Connor, Lisa M. McShane, Maryellen L. Giger, Philippe Lambin, Paul E. Kinahan, Eliot L. Siegel, Lalitha K. Shankar
Summary: Integration of computer-extracted tumour characteristics into medical imaging computer-aided diagnosis (CAD) algorithms has been a long-standing practice. However, the translation of radiomics, an extension of CAD involving quantitative characterization of healthy or pathological structures and processes captured by medical imaging, into clinically useful tools has been limited. This may be due to factors such as varying imaging and radiomic feature extraction protocols, potential pitfalls in radiomic data analysis, and a lack of evidence demonstrating the clinical benefit of radiomic-based tools. The authors provide 16 criteria to guide the clinical translation of radiomics, with the aim of accelerating the use of this technology to improve patient outcomes.
NATURE REVIEWS CLINICAL ONCOLOGY
(2023)
Article
Oncology
Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, Flore Belmans, Fabio Bottari, Turkey Refaee, Pierre Lovinfosse, Alexandre Jadoul, Celine Derwael, Fabian Hertel, Henry C. C. Woodruff, Helle D. D. Zacho, Sean Walsh, Wim Vos, Mariaelena Occhipinti, Francois-Xavier Hanin, Philippe Lambin, Felix M. M. Mottaghy, Roland Hustinx
Summary: The study aims to develop a deep learning (DL) algorithm for classifying areas of increased uptake on bone scintigraphy scans. The algorithm was trained and validated on a dataset of 2365 scans, and its performance was evaluated on an external testing set of 998 scans. The results showed that the DL algorithm achieved higher specificity and sensitivity compared to nuclear medicine physicians, and it can detect metastatic bone disease (MBD) in a shorter time.
Review
Dermatology
Y. Widaatalla, T. Wolswijk, F. Adan, L. M. Hillen, H. C. Woodruff, I. Halilaj, A. Ibrahim, P. Lambin, K. Mosterd
Summary: Basal cell carcinoma (BCC) is a common type of cancer, and the application of artificial intelligence techniques for detecting and classifying BCC is necessary. This article reviews the current evidence on the use of handcrafted and deep radiomics models for BCC detection and classification in dermoscopy, optical coherence tomography, and reflectance confocal microscopy.
JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Manon P. L. Beuque, Marc B. I. Lobbes, Yvonka van Wijk, Yousif Widaatalla, Sergey Primakov, Michael Majer, Corinne Balleyguier, Henry C. Woodruff, Philippe Lambin
Summary: This study developed a comprehensive machine learning tool that can automatically identify, segment, and classify breast lesions on contrast-enhanced mammography (CEM) images in recall patients. The results showed that the combined output of the handcrafted radiomics and deep learning models achieved good diagnostic performance in lesion identification and classification, outperforming the individual models.
Article
Oncology
Zohaib Salahuddin, Yi Chen, Xian Zhong, Henry C. Woodruff, Nastaran Mohammadian Rad, Shruti Atul Mali, Philippe Lambin
Summary: Automatic delineation and detection of primary tumour (GTVp) and lymph nodes (GTVn) in head and neck cancer using PET and CT can help diagnose and stratify patient risk. This study utilized data from nine centres and developed a segmentation model that estimated uncertainty for false positive reduction. Radiomics features extracted from GTVp and GTVn in PET and CT were found to be prognostic for recurrence-free survival prediction. The framework incorporated uncertainty estimation, fairness, and explainability.
Article
Imaging Science & Photographic Technology
Rihab Hami, Sena Apeke, Pascal Redou, Laurent Gaubert, Ludwig J. Dubois, Philippe Lambin, Dimitris Visvikis, Nicolas Boussion
Summary: The effectiveness of radiotherapy depends on various factors, and the tumor response to radiation varies among patients. This study developed a multi-scale model that integrated five major biological concepts in radiotherapy to predict the effects of radiation on tumor growth. The model considered factors such as oxygen level, cell cycle position, cellular sensitivity, and repair, providing a basis for a more personalized clinical tool.
JOURNAL OF IMAGING
(2023)
Article
Oncology
Xian Zhong, Zohaib Salahuddin, Yi Chen, Henry C. Woodruff, Haiyi Long, Jianyun Peng, Xiaoyan Xie, Manxia Lin, Philippe Lambin
Summary: This study developed and validated an interpretable radiomics model based on two-dimensional shear wave elastography (2D-SWE) for predicting symptomatic post-hepatectomy liver failure in patients with hepatocellular carcinoma. The clinical-radiomics model outperformed the clinical model and radiomics model, and the first-order radiomics features were identified as the most important for PHLF prediction.
Article
Microbiology
Yanchao Zhang, Aleksandra M. Kubiak, Tom S. Bailey, Luuk Claessen, Philip Hittmeyer, Ludwig Dubois, Jan Theys, Philippe Lambin
Summary: Clostridium species have gained attention in industrial and medical applications, with the development of genetic tools enabling the advancement of the CRISPR-Cas systems. This study demonstrated the establishment of a CRISPR-Cas12a system in clostridia with two different cas12a genes, allowing for efficient and rapid genome modification. The results showed that the CRISPR-FnCas12a system offers flexible target selection in clostridia, with a specific folding pattern of the precursor crRNA being important for high mutation generation efficiency.
MICROBIOLOGY SPECTRUM
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lan He, Zhen-Hui Li, Li-Xu Yan, Xin Chen, Sebastian Sanduleanu, Wen-Zhao Zhong, Phillippe Lambin, Zhao-Xiang Ye, Ying-Shi Sun, Yu-Lin Liu, Jin-Rong Qu, Lin Wu, Chang-Ling Tu, Madeleine Scrivener, Thierry Pieters, Emmanuel Coche, Qian Yang, Mei Yang, Chang-Hong Liang, Yan-Qi Huang, Zai-Yi Liu
Summary: The noninvasive biomarker iEDI has been developed and validated to indicate the intratumoural immune status in non-small cell lung cancer (NSCLC). It is also found to be prognostic of overall survival (OS) for NSCLC patients receiving surgical resection.
EUROPEAN RADIOLOGY
(2022)
Article
Respiratory System
Akshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, Flore Belmans, Ingrid Van Peufflik, Louis Deprez, Denis Danthine, Gregory Canivet, Philippe Lambin, Sean Walsh, Mariaelena Occhipinti, Paul Meunier, Wim Vos, Pierre Lovinfosse, Ralph T. H. Leijenaar
Summary: This study introduces an AI framework based on three-dimensional convolutional neural networks for classifying CT scans of patients with COVID-19, influenza/CAP, and no infection. The model shows excellent performance in providing rapid and accurate diagnosis.
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)