Article
Biology
Tao Zhou, Xiangxiang Zhang, Huiling Lu, Qi Li, Long Liu, Huiyu Zhou
Summary: In this paper, a novel fusion model for lung tumor PET and CT images is proposed, which can effectively obtain fused images with high contrast, prominent morphological features, and accurate spatial localization. By utilizing specific network structure and modules, the model captures the lesion features, spatial localization, and morphological information, and achieves multiscale feature information fusion.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Multidisciplinary Sciences
Tafadzwa L. Chaunzwa, Ahmed Hosny, Yiwen Xu, Andrea Shafer, Nancy Diao, Michael Lanuti, David C. Christiani, Raymond H. Mak, Hugo J. W. L. Aerts
Summary: The study introduces a radiomics approach to predict NSCLC tumor histology using deep learning on CT data, showing promising results. Besides predicting tumor histology, machine learning classifiers on radiomics features derived from CNNs also demonstrated comparable discriminative performance.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Biomedical
Xu Zhang, Bin Zhang, Shengming Deng, Qingquan Meng, Xinjian Chen, Dehui Xiang
Summary: This paper introduces a novel network for lung tumor segmentation. The network is able to simultaneously fuse PET and CT images, extract their features, and solve the problem of blurred boundaries. Experimental results demonstrate that the proposed method achieves high segmentation accuracy on PET-CT images of non-small cell lung cancer.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Oncology
Fanny Pinot, David Bourhis, Vincent Bourbonne, Romain Floch, Maelle Mauguen, Frederique Blanc-Beguin, Ulrike Schick, Mohamed Hamya, Ronan Abgral, Gregoire Le Gal, Pierre-Yves Salaun, Francois Lucia, Pierre-Yves Le Roux
Summary: This study aimed to develop and evaluate an automated threshold method based on total lung function for the delineation of lung functional volumes using Gallium-68 MAA lung PET/CT imaging. The results showed that the WLF threshold method provided more reliable and consistent functional volumes, especially in patients with normal PFTs, as compared to the pmax method. This new approach, relatively unaffected by the presence of hot spots, is clinically meaningful for clinicians.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yong Han, Yuan Ma, Zhiyuan Wu, Feng Zhang, Deqiang Zheng, Xiangtong Liu, Lixin Tao, Zhigang Liang, Zhi Yang, Xia Li, Jian Huang, Xiuhua Guo
Summary: This study evaluated the capability of PET/CT images for differentiating histologic subtypes of NSCLC and identified the optimal model from radiomics-based machine learning/deep learning algorithms. Linear discriminant analysis and support vector machine coupled with feature selection method achieved optimal performance for the classification of ADC and SCC. The VGG16 deep learning algorithm outperformed conventional machine learning methods in combination with radiomics for the differential diagnosis of NSCLC subtypes.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Article
Computer Science, Information Systems
Dehui Xiang, Bin Zhang, Yuxuan Lu, Shengming Deng
Summary: Segmentation of lung tumors in PET-CT images is a challenging task in medical image processing. To address this issue, a modality-specific segmentation network (MoSNet) is proposed, which can simultaneously segment the lung tumor in PET images and CT images.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Information Systems
R. Nurfauzi, H. A. Nugroho, I. Ardiyanto, E. L. Frannita
Summary: Male lung cancer has the highest mortality rate, with juxta-pleural and juxtavascular nodules being the most common types on the lung surface. The research aims for fast computational time and low error in covering nodule areas.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2021)
Article
Biology
Farhanaz Farheen, Md Salman Shamil, Nabil Ibtehaz, M. Sohel Rahman
Summary: This paper investigates lung tumor segmentation using a two-dimensional Discrete Wavelet Transform (DWT) and a Deeply Supervised MultiResUNet model. The combination of DWT and deep supervision leads to an improved dice coefficient and lightweight approach.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Oncology
Siqiu Wang, Rebecca Mahon, Elisabeth Weiss, Nuzhat Jan, Ross James Taylor, Philip Reed McDonagh, Bridget Quinn, Lulin Yuan
Summary: This study developed an automated lung tumor segmentation method for radiation therapy planning using deep learning and dual-modality PET-CT images. A 3D convolutional neural network was constructed to extract features and segment tumors based on PET and CT images. The network achieved clinically acceptable results on physician review after training and validation with a large dataset.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Article
Automation & Control Systems
Rehan Raza, Fatima Zulfiqar, Muhammad Owais Khan, Muhammad Arif, Atif Alvi, Muhammad Aksam Iftikhar, Tanvir Alam
Summary: Lung cancer is a major cause of death worldwide, and early diagnosis is crucial. This article introduces a transfer learning-based predictor called Lung-EffNet, which utilizes machine learning algorithms to accelerate the accurate detection of lung cancer in CT scans. The experiments demonstrate that Lung-EffNet outperforms other models in terms of both accuracy and efficiency, making it a promising tool for automated lung cancer diagnosis in clinical settings.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Oncology
Alexander Brose, Kerstin Michalski, Juri Ruf, Marco Tosch, Susanne M. Eschmann, Mathias Schreckenberger, Jochem Koenig, Ursula Nestle, Matthias Miederer
Summary: The aim of this study was to evaluate and compare visual and threshold-based semi-automated evaluation criteria for the assessment of suspected tumor recurrence. The results showed that visual assessment, especially with high reader certainty, had high interobserver agreement and accuracy, and could be further improved by baseline PET/CT information.
Article
Radiology, Nuclear Medicine & Medical Imaging
Alexis Slama, Benedikt M. Schaarschmidt, Oezlem Okumus, Ken Herrmann, Clemens Aigner, Stephane Collaud, Hubertus Hautzel
Summary: This experiment demonstrates the feasibility and benefits of using ILP combined with PET/CT imaging. The results show that ILP can preserve near physiologic gas exchange and glucose metabolism. The peripheral area of the carcinoid exhibits delayed but high somatostatin receptor agonist uptake compared to the surrounding parenchyma and the intrapulmonary artery, while the central area of the carcinoid shows very low uptake.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alexis Slama, Benedikt M. Schaarschmidt, Oezlem Okumus, Ken Herrmann, Clemens Aigner, Stephane Collaud, Hubertus Hautzel
Summary: This experiment demonstrates the potential and benefits of using isolated lung perfusion (ILP) combined with positron emission tomography-computed tomography (PET/CT) imaging for real-time visualization of tumors in ventilated and perfused lung tissue. The experiment involved a 49-year-old male patient who underwent lung surgery, and the results showed that ILP combined with PET/CT imaging can provide important insights into tumor physiology and molecular imaging.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Yang Jiang, Qingqing Lu, Cen Lou, Zhongke Huang
Summary: Primary hepatic gastrointestinal stromal tumor is a rare liver tumor with unknown origin and poor prognosis. It is difficult to diagnose accurately due to the lack of specific symptoms. We present a case of a 56-year-old man with primary hepatic gastrointestinal stromal tumor, showing multiple heterogeneous lesions with intense FDG uptake in the liver on PET/CT, mimicking hepatocellular carcinoma or sarcoma. Primary hepatic gastrointestinal stromal tumor should be considered in the differential diagnosis when multiple FDG-avid primary liver neoplasms with malignant characteristics are detected on PET/CT imaging.
CLINICAL NUCLEAR MEDICINE
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Hui Li, Yanqing Liu, Jie Zang, Zhi Yang, Yansong Lin
Summary: A 61-year-old woman with progressive metastatic radioactive iodine refractory differentiated thyroid cancer developed resistance to multitargeted tyrosine kinase inhibitor (TKI) therapy after 12 months. Ga-68-prostate-specific membrane antigen (PSMA)-617 PET/CT revealed a tumor thrombus in the inferior vena cava, providing valuable information for potential therapeutic strategies in this rare case.
CLINICAL NUCLEAR MEDICINE
(2021)
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
Anna-Larissa N. Niemeijer, Daniela E. Oprea-Lager, Marc C. Huisman, Otto S. Hoekstra, Ronald Boellaard, Berlinda J. de Wit-van der Veen, Idris Bahce, Danielle J. Vugts, Guus A. M. S. van Dongen, Erik Thunnissen, Egbert F. Smit, Adrianus J. de Langen
Summary: This study investigated the response of NSCLC patients to pembrolizumab monotherapy and the uptake of Zr-89-pembrolizumab in tumors, finding that patients with higher uptake had better responses to treatment. Although no significant correlation was found with PD-L1 or PD-1 immunohistochemistry, the injection of Zr-89-pembrolizumab was deemed safe in the study.
JOURNAL OF NUCLEAR MEDICINE
(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)
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
Cell Biology
Melek Huyuk, Marta Fiocco, Pieter E. Postmus, Danielle Cohen, Jan H. von der Thusen
Summary: This systematic review and meta-analysis investigated the association between lymph node micrometastases in stage I-IIIA NSCLC patients and overall survival (OS) and disease-free survival (DFS) after surgical resection. The study found that patients with lymph node micrometastases detected through ancillary techniques had significantly poorer OS and DFS compared to patients without micrometastases. The 5-year OS and DFS rates were lower in the micrometastasis group compared to the no micrometastasis group.
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
Gregory J. Riely, Egbert F. Smit, Myung-Ju Ahn, Enriqueta Felip, Suresh S. Ramalingam, Anne Tsao, Melissa Johnson, Francesco Gelsomino, Raymond Esper, Ernest Nadal, Michael Offin, Mariano Provencio, Jeffrey Clarke, Maen Hussain, Gregory A. Otterson, Ibiayi Dagogo-Jack, Jonathan W. Goldman, Daniel Morgensztern, Ann Alcasid, Tiziana Usari, Paul Wissel, Keith Wilner, Nuzhat Pathan, Svitlana Tonkovyd, Bruce E. Johnson
Summary: The combination of encorafenib and binimetinib showed clinical efficacy and acceptable safety in patients with BRAF(V600E)-mutant metastatic NSCLC.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Oncology
Koichi Goto, Yasushi Goto, Toshio Kubo, Kiichiro Ninomiya, Sang-We Kim, David Planchard, Myung-Ju Ahn, Egbert F. Smit, Adrianus Johannes de Langen, Maurice Perol, Elvire Pons-Tostivint, Silvia Novello, Hidetoshi Hayashi, Junichi Shimizu, Dong-Wan Kim, Chih-Hsi Kuo, James Chih-Hsin Yang, Kaline Pereira, Fu-Chih Cheng, Ayumi Taguchi, Yingkai Cheng, Wenqin Feng, Zenta Tsuchihashi, Pasi A. Janne
Summary: T-DXd demonstrates clinically meaningful responses in patients with previously treated HER2-positive non-small-cell lung cancer, with favorable safety at a dosage of 5.4 mg/kg.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Oncology
Zofia Piotrowska, Daniel Shao-Weng Tan, Egbert F. Smit, Alexander I. Spira, Ross A. Soo, Danny Nguyen, Victor Ho-Fun Lee, James Chih-Hsin Yang, Vamsidhar Velcheti, John M. Wrangle, Mark A. Socinski, Marianna Koczywas, John E. Janik, Jeffrey Jones, Helena Alexandra Yu
Summary: This study demonstrates that Zipalertinib has encouraging antitumor activity in heavily pretreated patients with EGFR ex20ins-mutant NSCLC, with an acceptable safety profile and low frequency of high-grade diarrhea and rash.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
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
Respiratory System
Rolof G. P. Gijtenbeek, Vincent van der Noort, Joachim G. J. Aerts, Jeske A. Staal-van den Brekel, Egbert F. Smit, Frans H. Krouwels, Frank A. Wilschut, T. Jeroen N. Hiltermann, Wim Timens, Ed Schuuring, Joost D. J. Janssen, Martijn Goosens, Paul M. van den Berg, A. Joop de Langen, Jos A. Stigt, Ben E. E. M. van den Borne, Harry J. M. Groen, Wouter H. van Geffen, Anthonie J. van der Wekken
Summary: This study found that in patients with EGFR-mutated NSCLC, intercalated erlotinib with cisplatin-pemetrexed chemotherapy significantly prolonged progression-free survival compared to erlotinib monotherapy, but at the cost of increased toxicity.
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)