Article
Radiology, Nuclear Medicine & Medical Imaging
Guilherme D. Kolinger, David Vallez Garc, Gerbrand Maria Kramer, Virginie Frings, Gerben J. C. Zwezerijnen, Egbert F. Smit, Adrianus Johannes de Langen, Irene Buvat, Ronald Boellaard
Summary: PET radiomics can effectively measure intratumoral heterogeneity in oncology. This study investigates how changes in F-18-FDG uptake time, image reconstruction, lesion delineation, and radiomic binning settings affect radiomic features. The results show that radiomic features have the highest repeatability in PSF-EARL2 reconstruction, 40% of SUVmax lesion delineation, and FBW intensity discretization conditions. Based on their susceptibility to uptake time, these features are classified into specific use cases in non-small cell lung cancer PET radiomics.
JOURNAL OF NUCLEAR MEDICINE
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Coline Le Meur, Luca Campedel, Dris Kharroubi, Karim Amrane
Summary: This study presents a rare case of relapsed non-small cell lung cancer with pituitary metastasis in a 75-year-old woman. Pituitary metastasis is uncommon, accounting for only approximately 2% of malignant metastases. F-18-FDG PET and cerebral MRI were used to guide the therapeutic strategy due to an atypical pituitary high FDG avidity.
CLINICAL NUCLEAR MEDICINE
(2022)
Review
Genetics & Heredity
Xuhe Liao, Meng Liu, Rongfu Wang, Jianhua Zhang
Summary: This review explores the application of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC) and the unusual response manifestations they can cause. F-18-FDG PET/CT is shown to be an effective and non-invasive tool for identifying these atypical response patterns, and a series of semi-quantitative parameters derived from this technique are introduced as non-invasive biomarkers for predicting the efficacy of ICIs and the survival of NSCLC patients. The functional criteria based on F-18-FDG PET/CT for immunotherapeutic response assessment are discussed, but further research is needed to validate and improve these assessment systems. Lastly, the review presents the current status and future perspective of novel specific PET probes targeting key molecules relevant to immunotherapy in prediction and response assessment.
FRONTIERS IN GENETICS
(2022)
Article
Oncology
Ana Luisa Gomes Rocha, Mauro Alessandro Monteiro da Conceicao, Francisco Xavier Proenca da Cunha Sequeira Mano, Helder Carvalho Martins, Gracinda Maria Lopes Magalhaes Costa, Barbara Cecilia Bessa Dos Santos Oliveiros Paiva, Paula Alexandra Amado Lapa
Summary: This study found that baseline MTVWB, measured on staging [F-18]FDG PET/CT, further stratifies stage IV NSCLC patients. It is an independent predictor of OS and provides valuable prognostic information. Patients with higher MTVWB have lower EMST and survival rates.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Wan-Ming Chen, Mingchih Chen, Jeng-Guan Hsu, Tian-Shyug Lee, Ben-Chang Shia, Szu-Yuan Wu
Summary: The use of preoperative PET/CT is associated with a lower risk of death in patients with resectable stage IIIA-IIIB non-small cell lung cancer, but it does not improve survival rates in patients with stage I-II cancer.
Article
Oncology
Montserrat Carles, Tobias Fechter, Gianluca Radicioni, Tanja Schimek-Jasch, Sonja Adebahr, Constantinos Zamboglou, Nils H. Nicolay, Luis Marti-Bonmati, Ursula Nestle, Anca L. Grosu, Dimos Baltas, Michael Mix, Eleni Gkika
Summary: This study aims to identify clinically relevant image feature (IF) changes during chemoradiation in NSCLC patients. By utilizing IF variability observed across 4D PET scans as a patient-specific normalization factor, statistically relevant IF changes during treatment are emphasized. Changes in deltaAUCCSH within the primary tumor during treatment can discriminate patients with and without LR, and this could be recommended for monitoring treatment response in NSCLC patients.
Article
Oncology
Saskia A. Cooke, Dirk de Ruysscher, Bart Reymen, Maarten Lambrecht, Gitte Fredberg Persson, Corinne Faivre-Finn, Edith M. T. Dieleman, Rolf Lewensohn, Judi N. A. van Diessen, Karolina Sikorska, Ferry Lalezari, Wouter Vogel, Wouter van Elmpt, Eugene M. F. Damen, Jan -Jakob Sonke, Jose S. A. Belderbos
Summary: This study aimed to evaluate the ability of radiation dose escalation to improve local control in patients with locally advanced non-small-cell lung cancer. The results showed that both whole primary tumour dose escalation and PET-defined subvolume dose escalation can improve local control. However, both strategies also led to unexpected high rates of toxicity. Therefore, it is recommended to improve dose escalation strategies by considering dose differentiation, better patient selection, and improved protection of central structures.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Multidisciplinary Sciences
Yong-Jin Park, Yunjoo Im, O. Jung Kwon, Joungho Han, Myung-Ju Ahn, Jhingook Kim, Sang-Won Um, Joon Young Choi
Summary: This study investigated the prognostic value of FDG PET/CT parameters in NSCLC with radiologically diagnosed PLC. The results showed that metabolic PLC burden and cPLC were independent prognostic factors.
SCIENTIFIC REPORTS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Elisabeth Pfaehler, Liesbet Mesotten, Ivan Zhovannik, Simone Pieplenbosch, Michiel Thomeer, Karolien Vanhove, Peter Adriaensens, Ronald Boellaard
Summary: Radiomics involves extracting image biomarkers to describe tumor phenotype in medical images. In this study, a framework was proposed to identify meaningful features and results from a PET NSCLC dataset showed that selected features outperformed volume for larger lesions, indicating the potential of using a combination of volume and selected features to increase accuracy and reliability of a radiomic model.
Article
Oncology
Pascal Hannequin, Chantal Decroisette, Pascale Kermanach, Giulia Berardi, Vincent Bourbonne
Summary: This study investigated the role of PET-CT and CT radiomics in predicting the prognosis of patients with non-small-cell lung cancer (NSCLC). The results showed that PET and CT radiomics features have the potential to predict survival, but they do not significantly improve the accuracy of prognosis prediction compared to conventional data.
TRANSLATIONAL LUNG CANCER RESEARCH
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fengxian Zhang, Xiaodong Wu, Junjie Zhu, Yan Huang, Xiao Song, Lei Jiang
Summary: This study retrospectively investigated the clinical utility of F-18-FDG PET/CT and CTCs in treatment-naive NSCLC patients. F-18-FDG PET/CT was superior to CTCs in diagnosis, while CTC levels were associated with tumor glucose metabolism and both F-18-FDG PET/CT and CTCs metabolic parameters could predict patient outcomes.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Article
Oncology
Jianyi Qiao, Xin Zhang, Ming Du, Pengyuan Wang, Jun Xin
Summary: This study aims to investigate the ability of a PET/CT-based radiomics nomogram to predict occult lymph node metastasis in patients with clinical stage N0 non-small cell lung cancer (NSCLC). The results show that the radiomics nomogram achieves good prediction efficiency and has clinical usefulness.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Jianyuan Zhou, Sijuan Zou, Siyuan Cheng, Dong Kuang, Dan Li, Lixing Chen, Cong Liu, Jianhua Yan, Xiaohua Zhu
Summary: Through analyzing the correlations between metabolic parameters in DTP F-18-FDG PET images and tumor microenvironment immune types in patients with non-small cell lung cancer, it was found that high glucose metabolism correlated with TMIT-I tumors. A composite metabolic signature (Meta-Sig) and a combined model based on clinical and metabolic information showed improved performance in identifying patients who may respond to immunotherapy.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Shima Sepehri, Olena Tankyevych, Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt, Catherine Cheze Le Rest
Summary: This study found that by extracting radiomic features from tumor volumes and combining with clinical variables for machine learning, similar prognostic accuracy can be achieved even when skipping the time-consuming tumor delineation step, although with significant performance loss.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yishan Sun, Liming Xiao, Yanmei Wang, Changping Liu, Li Cao, Wei Zhai, Bo Wang, Shupeng Yu, Jun Xin
Summary: This study investigated the diagnostic value of dynamic 2-deoxy-2-[18F]-fluoro-D-glucose positron emission tomography-computed tomography in non-small cell lung cancer and hypermetabolic lymph nodes. The results showed that dynamic imaging had high diagnostic value in the staging of non-small cell lung cancer and hypermetabolic lymph nodes, which can be of great use in surgical decision-making.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Cardiac & Cardiovascular Systems
Henk Everaars, Pepijn A. van Diemen, P. Stefan Biesbroek, Luuk H. G. A. Hopman, Michiel J. Bom, Stefan P. Schumacher, Ruben W. de Winter, Peter M. van de Ven, Pieter G. Raijmakers, Adriaan A. Lammertsma, Mark B. M. Hofman, Robin Nijveldt, Marco J. Gotte, Albert C. van Rossum, Ibrahim Danad, Roel S. Driessen, Paul Knaapen
Summary: This study aimed to compare cardiac magnetic resonance (CMR) measurement of T1 reactivity (Delta T1) with [O-15]H2O positron emission tomography (PET) measurements of quantitative myocardial perfusion. The results showed poor agreement between CMR stress T1 mapping and PET measurements of absolute myocardial perfusion. CMR stress T1 and Delta T1 were lower in vascular territories with reduced stress MBF, but had limited accuracy in detecting impaired myocardial perfusion.
EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Eric Guedj, Andrea Varrone, Ronald Boellaard, Nathalie L. Albert, Henryk Barthel, Bart van Berckel, Matthias Brendel, Diego Cecchin, Ozgul Ekmekcioglu, Valentina Garibotto, Adriaan A. Lammertsma, Ian Law, Ivan Penuelas, Franck Semah, Tatjana Traub-Weidinger, Elsmarieke van de Giessen, Donatienne Van Weehaeghe, Silvia Morbelli
Summary: The guidelines summarize the current views of the EANM Neuro-Imaging Committee on [F-18]FDG-PET imaging of the brain, aiming to improve diagnostic impact in neurological, neurosurgical, and psychiatric practice. Updates include advances in PET technology, the impact of hyperglycemia in patients undergoing brain [F-18]FDG-PET, and typical brain metabolic patterns for neurodegenerative diseases.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Elizabeth J. de Koster, Wyanne A. Noortman, Jacob M. Mostert, Jan Booij, Catherine B. Brouwer, Bart de Keizer, John M. H. de Klerk, Wim J. G. Oyen, Floris H. P. van Velden, Lioe-Fee De Geus-Oei, Dennis Vriens
Summary: The study aimed to evaluate whether quantitative [F-18]FDG-PET/CT assessment and radiomic analysis of [F-18]FDG-positive thyroid nodules could improve the preoperative differentiation of indeterminate thyroid nodules. The results showed that applying distinct SUV cut-offs for non-Hurthle cell and Hurthle cell nodules can optimize the ability to rule out malignancy, while radiomic analysis did not provide additional differentiation for [F-18]FDG-positive nodules.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gijsbert M. Kalisvaart, Floris H. P. van Velden, Irene Hernandez-Giron, Karin M. Meijer, Laura M. H. Ghesquiere-Dierickx, Wyger M. Brink, Andrew Webb, Lioe-Fee de Geus-Oei, Cornelis H. Slump, Dimitri Kuznetsov, Dennis R. Schaart, Willem Grootjans
Summary: A modular multimodality imaging phantom was designed and evaluated to simulate heterogeneous uptake and enhancement patterns for radiomics quantification in hybrid imaging. The results showed that the phantom was suitable for simulating heterogeneous patterns in different imaging modalities and could calculate some radiomic features with relatively stability.
Article
Cardiac & Cardiovascular Systems
Pim Hendriks, Daphne D. D. Rietbergen, Arian R. van Erkel, Minneke J. Coenraad, Mark J. Arntz, Roel J. Bennink, Andries E. Braat, A. Stijn L. P. Crobach, Otto M. van Delden, Tom van der Hulle, Heinz-Josef Klumpen, Rutger W. van der Meer, J. Frank W. Nijsen, Carla S. P. van Rijswijk, Joey Roosen, Bastian N. Ruijter, Frits Smit, Mette K. Stam, R. Bart Takkenberg, Maarten E. Tushuizen, Floris H. P. van Velden, Lioe-Fee de Geus-Oei, Mark C. Burgmans
Summary: This study aims to investigate the biodistribution of holmium-166 microspheres after radiofrequency ablation and determine the optimal treatment dose for hepatocellular carcinoma. The ultimate goal is to improve the efficacy of thermal ablation for early-stage liver cancer to match surgical resection.
CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Adrienne H. Brouwers, Joyce van Sluis, Johannes H. van Snick, Carolina P. Schroder, Inge O. Baas, Ronald Boellaard, Andor W. J. M. Glaudemans, Ronald J. H. Borra, Adriaan A. Lammertsma, Rudi A. J. O. Dierckx, Charalampos Tsoumpas
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chris W. J. van der Weijden, Jan F. Meilof, Anouk van der Hoorn, Junqing Zhu, Chunying Wu, Yanming Wang, Antoon T. M. Willemsen, Rudi A. J. O. Dierckx, Adriaan A. Lammertsma, Erik F. J. de Vries
Summary: This study aimed to evaluate [C-11]MeDAS as a PET tracer for myelin imaging in humans. The 2T3k model was found to be the optimal compartment model, and MLAIR2 was the best simplified method for quantification. [C-11]MeDAS PET can be used for quantification of myelin density in MS patients and is able to distinguish differences in myelin density within MS lesions.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Willem Grootjans, Daphne D. D. Rietbergen, Floris H. P. van Velden
Summary: Positron emission tomography (PET) is an important imaging modality for personalizing clinical management of patients with lung cancer. Respiratory motion artifacts can significantly affect image quality and quantification accuracy. Developments in respiratory gating techniques have improved image quality, potentially enhancing early diagnosis and staging in patients with lung cancer.
SEMINARS IN NUCLEAR MEDICINE
(2022)
Article
Endocrinology & Metabolism
Fiona Heeman, Denise Visser, Maqsood Yaqub, Sander Verfaillie, Tessa Timmers, Yolande A. L. Pijnenburg, Wiesje M. van der Flier, Bart N. M. van Berckel, Ronald Boellaard, Adriaan A. Lammertsma, Sandeep S. Golla
Summary: Alzheimer's disease is characterized by reduced cerebral blood flow. This study compared the precision of different methods for measuring cerebral blood flow and found that relative blood flow methods had better repeatability than absolute blood flow methods. The high precision of relative blood flow may be due to a compensatory effect of the extraction fraction.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Anne M. Smith, Nancy A. Obuchowski, Norman L. Foster, Gregory Klein, P. David Mozley, Adriaan A. Lammertsma, Richard L. Wahl, John J. Sunderland, Jean-Luc Vanderheyden, Tammie L. S. Benzinger, Paul E. Kinahan, Dean F. Wong, Eric S. Perlman, Satoshi Minoshima, Dawn Matthews
Summary: Standardized approach in acquiring amyloid PET images increases their value as disease and drug response biomarkers. The Quantitative Imaging Biomarkers Alliance amyloid PET biomarker committee developed and validated a profile to characterize and reduce the variability of SUVRs, increasing statistical power for these assessments.
JOURNAL OF NUCLEAR MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jerney de Jongh, Nicki J. F. Verweij, Maqsood Yaqub, Christiaan J. van Denderen, Irene E. van der Horst-bruinsma, Joost C. J. Bot, Bouke J. H. Boden, Robert Hemke, Frank F. Smithuis, Willem F. Lems, Adriaan A. Lammertsma, Alexandre E. Voskuyl, Maarten Boers, Gerben J. C. Zwezerijnen, Conny J. van der Laken
Summary: Lesions detected on [F-18]fluoride PET scans often fall outside the scope of MRI and CR, with partial overlap with abnormalities seen on MRI (especially BME) and CR (especially ankylosis). PET activity shows the strongest association with BME on MRI and ankylosis on CR.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Oncology
Wyanne A. Noortman, Nicolas Aide, Dennis Vriens, Lisa S. Arkes, Cornelis H. Slump, Ronald Boellaard, Jelle J. Goeman, Christophe M. Deroose, Jean-Pascal Machiels, Lisa F. Licitra, Renaud Lhommel, Alessandra Alessi, Erwin Woff, Karolien Goffin, Christophe Le Tourneau, Jocelyn Gal, Stephane Temam, Jean-Pierre Delord, Floris H. P. van Velden, Lioe-Fee de Geus-Oei
Summary: The study aimed to build and externally validate an [F-18]FDG PET radiomic model for predicting overall survival in patients with head and neck squamous cell carcinoma. Two multicentre datasets were used to train and validate the model, which included patients treated with preoperative afatinib. The radiomic model outperformed the clinical model in predicting overall survival.
Review
Oncology
Mostafa Roya, Samaneh Mostafapour, Philipp Mohr, Laura Providencia, Zekai Li, Johannes H. van Snick, Adrienne H. Brouwers, Walter Noordzij, Antoon T. M. Willemsen, Rudi A. J. O. Dierckx, Adriaan A. Lammertsma, Andor W. J. M. Glaudemans, Charalampos Tsoumpas, Riemer H. J. A. Slart, Joyce van Sluis
Summary: Recently, a new type of PET scanner with long axial field-of-view (LAFOV) has been introduced in clinical practice. Compared to conventional PET scanners, LAFOV scanners have a larger coverage and higher sensitivity, providing new opportunities for clinical applications, such as reducing scan time, decreasing the amount of radiotracer used, and using dynamic or parametric imaging. Emerging technologies like artificial intelligence and imaging with multiple radiotracers can further enhance the clinical application of LAFOV PET.
Article
Radiology, Nuclear Medicine & Medical Imaging
Wyanne A. Noortman, Dennis Vriens, Lioe-Fee de Geus-Oei, Cornelis H. Slump, Erik H. Aarntzen, Anouk van Berkel, Henri J. L. M. Timmers, Floris H. P. van Velden
Summary: This study investigates the use of [F-18]FDG-PET/CT radiomics, SUVmax, and biochemical profiles for identifying the genetic clusters of PPGLs. The results show that PET radiomics performs better in identifying PPGLs compared to biochemistry, SUVmax, and CT radiomics, especially in the differentiation of sporadic PPGLs.
EUROPEAN RADIOLOGY
(2022)
Review
Pharmacology & Pharmacy
Johan A. den Boer, Erik J. F. de Vries, Ronald J. H. Borra, Aren van Waarde, Adriaan A. Lam-mertsma, Rudi A. Dierckx
Summary: This review discusses translational, diagnostic, and methodological issues in drug development for CNS disorders, with a focus on psychiatry. The role of preclinical models and brain imaging using PET and fMRI in early stages of drug development is critically reviewed. The review emphasizes the importance of collaborations between industry, academia, and phase I units in drug development. Brain imaging has revolutionized the study of psychiatric illnesses, providing insights at different levels of analysis and supporting preclinical and clinical drug development.
CURRENT REVIEWS IN CLINICAL AND EXPERIMENTAL PHARMACOLOGY
(2022)