-
Non-invasive assessment of stimulation-specific changes in cerebral glucose metabolism with functional PET Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-16 Godber Mathis Godbersen, Pia Falb, Sebastian Klug, Leo R. Silberbauer, Murray Bruce Reed, Lukas Nics, Marcus Hacker, Rupert Lanzenberger, Andreas Hahn
-
Early detection of anthracycline-induced cardiotoxicity using [68 Ga]Ga-FAPI-04 imaging Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-16
Abstract Purpose Anthracycline-induced cardiotoxicity (AIC), whose major manifestation is diffuse myocardial fibrosis, is an important clinical problem in cancer therapy. Therefore, early identification and treatment are clinically important. This study aims to explore the feasibility of using 68 Ga-labelled fibroblast activation protein (FAP) inhibitor ([68 Ga]Ga-FAPI) positron emission tomography/computed
-
Efficacy of [67Cu]Cu-EB-TATE Theranostic Against Somatostatin Receptor Subtype-2-Positive Neuroendocrine Tumors J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Njotu, F. N., Ketchemen, J. P., Tikum, A. F., Babeker, H., Gray, B. D., Pak, K. Y., Uppalapati, M., Fonge, H.
Visual Abstract
-
An 18F-FDG PET/CT and Mean Lung Dose Model to Predict Early Radiation Pneumonitis in Stage III Non–Small Cell Lung Cancer Patients Treated with Chemoradiation and Immunotherapy J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Maria Thor, Chen Lee, Lian Sun, Purvi Patel, Aditya Apte, Milan Grkovski, Annemarie F. Shepherd, Daphna Y. Gelblum, Abraham J. Wu, Charles B. Simone, Jamie E. Chaft, Andreas Rimner, Daniel R. Gomez, Joseph O. Deasy, Narek Shaverdian
Visual Abstract
-
Interrogating the Theranostic Capacity of a MUC16-Targeted Antibody for Ovarian Cancer J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Kyeara N. Mack, Zachary V. Samuels, Lukas M. Carter, Tara D. Viray, Komal Mandleywala, Cory L. Brooks, Michael A. Hollingsworth, Prakash Radhakrishnan, Jason S. Lewis
Visual Abstract
-
[18F]FDG PET/CT Signal Correlates with Neoangiogenesis Markers in Patients with Fibrotic Interstitial Lung Disease Who Underwent Lung Biopsy: Implication for the Use of PET/CT in Diffuse Lung Diseases J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Joanna C. Porter, Balaji Ganeshan, Thida Win, Francesco Fraioli, Saif Khan, Manuel Rodriguez-Justo, Raymond Endozo, Robert I. Shortman, Luke R. Hoy, Toby M. Maher, Ashley M. Groves
Visual Abstract
-
Can Internal Carotid Arteries Be Used for Noninvasive Quantification of Brain PET Studies? J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Laura Providência, Chris W.J. van der Weijden, Philipp Mohr, Joyce van Sluis, Johannes H. van Snick, Riemer H.J.A. Slart, Rudi A.J.O. Dierckx, Adriaan A. Lammertsma, Charalampos Tsoumpas
Visual Abstract
-
The Value of 68Ga-PSMA PET/MRI for Classifying Patients with PI-RADS 3 Lesions on Multiparametric MRI: A Prospective Single-Center Study J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Jingyan Shi, Danyan Li, Mengxia Chen, Yao Fu, Shan Peng, Qing Zhang, Jing Liang, Qun Lu, Jiaming Lu, Shuyue Ai, Feng Wang, Xuefeng Qiu, Hongqian Guo
Visual Abstract
-
68Ga-FAPI PET/CT as an Alternative to 18F-FDG PET/CT in the Imaging of Invasive Lobular Breast Carcinoma J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Ertan Sahin, Tulay Kus, Alper Aytekin, Evren Uzun, Umut Elboga, Latif Yilmaz, Yusuf B. Cayirli, Merve Okuyan, Vuslat Cimen, Ufuk Cimen
Visual Abstract
-
Real-World Experience with 177Lu-PSMA-617 Radioligand Therapy After Food and Drug Administration Approval J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Abuzar Moradi Tuchayi, Surekha Yadav, Fei Jiang, Sarasa T. Kim, Rachelle K. Saelee, Amanda Morley, Roxanna Juarez, Courtney Lawhn-Heath, Yingbing Wang, Ivan de Kouchkovsky, Thomas A. Hope
Visual Abstract
-
Strong Correlation Between SUVmax on PSMA PET/CT and Numeric Drop-In γ-Probe Signal for Intraoperative Identification of Prostate Cancer Lesions J Nucl. Med. (IF 9.3) Pub Date : 2024-03-14 Anne-Claire Berrens, Malou A. Sorbi, Maarten L. Donswijk, Hilda A. de Barros, Samaneh Azargoshasb, Matthias N. van Oosterom, Daphne D.D. Rietbergen, Elise M. Bekers, Henk G. van der Poel, Fijs W.B. van Leeuwen, Pim J. van Leeuwen
Visual Abstract
-
Diagnostic and prognostic value of dual-point amyloid PET in Alzheimer’s disease (AD) mimickers Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-14 Luca Sofia, Federico Massa, Stefano Raffa, Matteo Pardini, Dario Arnaldi, Matteo Bauckneht, Silvia Morbelli
-
ImmunoPET/CT imaging of clear cell renal cell carcinoma with [18F]RCCB6: a first-in-human study Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-14
Abstract Purpose The cluster of differentiation (CD70) is a potential biomarker of clear cell renal cell carcinoma (ccRCC). This study aims to develop CD70-targeted immuno-positron emission tomography/computed tomography (immunoPET/CT) imaging tracers and explore the diagnostic value in preclinical studies and the potential value in detecting metastases in ccRCC patients. Methods Four novel CD70-specific
-
Score-based Counterfactual Generation for Interpretable Medical Image Classification and Lesion Localization IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-14 Ke Wang, Zicong Chen, Mingjia Zhu, Zhetao Li, Jian Weng, Tianlong Gu
-
[18F]FDG PET/CT for prognosis and toxicity prediction of diffuse large B-cell lymphoma patients with chimeric antigen receptor T-cell therapy Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-12 Jinbo Gui, Mengting Li, Jia Xu, Xiao Zhang, Heng Mei, Xiaoli Lan
-
[177Lu]Lu-PSMA-617 as first-line systemic therapy in patients with metastatic castration-resistant prostate cancer: a real-world study Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-12 Swayamjeet Satapathy, Madhav Prasad Yadav, Sanjana Ballal, Ranjit Kumar Sahoo, Chandrasekhar Bal
-
MP-Net: A Multi-Center Privacy-Preserving Network for Medical Image Segmentation IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-13 Enjun Zhu, Haiyu Feng, Long Chen, Yongqiang Lai, Senchun Chai
-
3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-13 Yi Yin, Alys R. Clark, Sally L. Collins
-
Quantification of airway structures by persistent homology IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-13 Shizuo Kaji, Naoya Tanabe, Tomoki Maetani, Yusuke Shiraishi, Ryo Sakamoto, Tsuyoshi Oguma, Katsuhiro Suzuki, Kunihiko Terada, Motonari Fukui, Shigeo Muro, Susumu Sato, Toyohiro Hirai
-
Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-13 Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horáček, John L. Sapp, Linwei Wang
-
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution Med. Image Anal. (IF 10.9) Pub Date : 2024-03-12 Jun Lyu, Shuo Wang, Yapeng Tian, Jing Zou, Shunjie Dong, Chengyan Wang, Angelica I. Aviles-Rivero, Jing Qin
Cardiac cine magnetic resonance imaging (MRI) is a commonly used clinical tool for evaluating cardiac function and morphology. However, its diagnostic accuracy may be compromised by the low spatial resolution. Current methods for cine MRI super-resolution reconstruction still have limitations. They typically rely on 3D convolutional neural networks or recurrent neural networks, which may not effectively
-
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images Med. Image Anal. (IF 10.9) Pub Date : 2024-03-12 Daniel Gut, Marco Trombini, Iwona Kucybała, Kamil Krupa, Miłosz Rozynek, Silvana Dellepiane, Zbisław Tabor, Wadim Wojciechowski
In the context of automatic medical image segmentation based on statistical learning, raters’ variability of ground truth segmentations in training datasets is a widely recognized issue. Indeed, the reference information is provided by experts but bias due to their knowledge may affect the quality of the ground truth data, thus hindering creation of robust and reliable datasets employed in segmentation
-
Anomaly-guided weakly supervised lesion segmentation on retinal OCT images Med. Image Anal. (IF 10.9) Pub Date : 2024-03-12 Jiaqi Yang, Nitish Mehta, Gozde Demirci, Xiaoling Hu, Meera S. Ramakrishnan, Mina Naguib, Chao Chen, Chia-Ling Tsai
The availability of big data can transform the studies in biomedical research to generate greater scientific insights if expert labeling is available to facilitate supervised learning. However, data annotation can be labor-intensive and cost-prohibitive if pixel-level precision is required. Weakly supervised semantic segmentation (WSSS) with image-level labeling has emerged as a promising solution
-
18F-FDG PET/CT and Radiolabeled Leukocyte SPECT/CT Imaging for the Evaluation of Cardiovascular Infection in the Multimodality Context: ASNC Imaging Indications (ASNC I2) Series Expert Consensus Recommendations From ASNC, AATS, ACC, AHA, ASE, EANM, HRS, IDSA, SCCT, SNMMI, and STS JACC Cardiovasc. Imaging (IF 14.0) Pub Date : 2024-03-11 Jamieson M. Bourque, Ulrika Birgersdotter-Green, Paco E. Bravo, Ricardo P.J. Budde, Wengen Chen, Vivian H. Chu, Vasken Dilsizian, Paola Anna Erba, Cesia Gallegos Kattan, Gilbert Habib, Fabien Hyafil, Yiu Ming Khor, Jaimie Manlucu, Pamela Kay Mason, Edward J. Miller, Marc R. Moon, Matthew W. Parker, Gosta Pettersson, Robert D. Schaller, Riemer H.J.A. Slart, Jordan B. Strom, Bruce L. Wilkoff, Adam Williams
This document on cardiovascular infection, including infective endocarditis, is the first in the American Society of Nuclear Cardiology Imaging Indications (ASNC I) series to assess the role of radionuclide imaging in the multimodality context for the evaluation of complex systemic diseases with multi-societal involvement including pertinent disciplines. A rigorous modified Delphi approach was used
-
Constructing hierarchical attentive functional brain networks for early AD diagnosis Med. Image Anal. (IF 10.9) Pub Date : 2024-03-11 Jianjia Zhang, Yunan Guo, Luping Zhou, Lei Wang, Weiwen Wu, Dinggang Shen
Analyzing functional brain networks (FBN) with deep learning has demonstrated great potential for brain disorder diagnosis. The conventional construction of FBN is typically conducted at a single scale with a predefined brain region atlas. However, numerous studies have identified that the structure and function of the brain are hierarchically organized in nature. This urges the need of representing
-
Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking Med. Image Anal. (IF 10.9) Pub Date : 2024-03-11 Zhihua Liu, Bin Yang, Yan Shen, Xuejun Ni, Sotirios A. Tsaftaris, Huiyu Zhou
Ultrasound is a promising medical imaging modality benefiting from low-cost and real-time acquisition. Accurate tracking of an anatomical landmark has been of high interest for various clinical workflows such as minimally invasive surgery and ultrasound-guided radiation therapy. However, tracking an anatomical landmark accurately in ultrasound video is very challenging, due to landmark deformation
-
Multi-channel Optimization Generative Model for Stable Ultra-Sparse-View CT Reconstruction IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-11 Weiwen Wu, Jiayi Pan, Yanyang Wang, Shaoyu Wang, Jianjia Zhang
-
68Ga-FAPI-04 PET/CT in Non-Small Cell Lung Cancer: Accurate Evaluation of Lymph Node Metastasis and Correlation with Fibroblast Activation Protein Expression J Nucl. Med. (IF 9.3) Pub Date : 2024-03-07 Li, C., Chen, Q., Tian, Y., Chen, J., Xu, K., Xiao, Z., Zhong, J., Wu, J., Wen, B., He, Y.
Visual Abstract
-
Promising Candidate Prognostic Biomarkers in [18F]FDG PET Images: Evaluation in Independent Cohorts of Non–Small Cell Lung Cancer Patients J Nucl. Med. (IF 9.3) Pub Date : 2024-03-07 Narinée Hovhannisyan-Baghdasarian, Marie Luporsi, Nicolas Captier, Christophe Nioche, Vesna Cuplov, Erwin Woff, Nadia Hegarat, Alain Livartowski, Nicolas Girard, Irène Buvat, Fanny Orlhac
Visual Abstract
-
Prognostic Performance of RECIP 1.0 Based on [18F]PSMA-1007 PET in Prostate Cancer Patients Treated with [177Lu]Lu-PSMA I&T J Nucl. Med. (IF 9.3) Pub Date : 2024-03-07 Philipp E. Hartrampf, Thomas Hüttmann, Anna Katharina Seitz, Hubert Kübler, Sebastian E. Serfling, Takahiro Higuchi, Wiebke Schlötelburg, Kerstin Michalski, Andrei Gafita, Steven P. Rowe, Martin G. Pomper, Andreas K. Buck, Rudolf A. Werner
Visual Abstract
-
The Accomplishments and Legacy of Saul Hertz, MD J Nucl. Med. (IF 9.3) Pub Date : 2024-03-07 Greenspan, B. S., Hofman, M. S., Buscombe, J.
The early history of the use of radioactive iodine (RAI) is complicated and interesting, and also difficult to discover, especially since several histories have presented inaccurate content. This article is a comprehensive review of the accomplishments of Saul Hertz. Extensive use of primary-source verification has clarified several issues, including the question of whether Hertz alone conceived and
-
Artificial intelligence–based, volumetric assessment of the bone marrow metabolic activity in [18F]FDG PET/CT predicts survival in multiple myeloma Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-08 Christos Sachpekidis, Olof Enqvist, Johannes Ulén, Annette Kopp-Schneider, Leyun Pan, Elias K. Mai, Marina Hajiyianni, Maximilian Merz, Marc S. Raab, Anna Jauch, Hartmut Goldschmidt, Lars Edenbrandt, Antonia Dimitrakopoulou-Strauss
-
Thoracic aortic microcalcification activity in combined positron emission tomography and magnetic resonance imaging Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-08 Jennifer Nash, Samuel Debono, Beth Whittington, Jakub Kaczynski, Tim Clark, Gillian Macnaught, Scott Semple, Edwin J R van Beek, Adriana Tavares, Damini Dey, Michelle C Williams, Piotr J Slomka, David E Newby, Marc R Dweck, Alexander J Fletcher
-
Guiding principles on the education and practice of theranostics Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-08 Thomas N. B. Pascual, Diana Paez, Andrei Iagaru, Gopi Gnanasegaran, Sze Ting Lee, Mike Sathekge, John M. Buatti, Francesco Giammarile, Akram Al-Ibraheem, Manuela Arevalo Pardo, Richard P. Baum, Berardino De Bari, Simona Ben-Haim, Jean-Yves Blay, Anita Brink, Enrique Estrada-Lobato, Stefano Fanti, Anja Tea Golubic, Jun Hatazawa, Ora Israel, Ana Kiess, Peter Knoll, Lizette Louw, Giuliano Mariani, Siroos
Purpose The recent development and approval of new diagnostic imaging and therapy approaches in the field of theranostics have revolutionised nuclear medicine practice. To ensure the provision of these new imaging and therapy approaches in a safe and high-quality manner, training of nuclear medicine physicians and qualified specialists is paramount. This is required for trainees who are learning theranostics
-
First-in-human administration of terbium-161-labelled somatostatin receptor subtype 2 antagonist ([161Tb]Tb-DOTA-LM3) in a patient with a metastatic neuroendocrine tumour of the ileum Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-07 Julia Fricke, Frida Westerbergh, Lisa McDougall, Chiara Favaretto, Emanuel Christ, Guillaume P. Nicolas, Susanne Geistlich, Francesca Borgna, Melpomeni Fani, Peter Bernhardt, Nicholas P. van der Meulen, Cristina Müller, Roger Schibli, Damian Wild
-
Preoperative evaluation of mediastinal lymph nodes in non-small cell lung cancer using [68Ga]FAPI-46 PET/CT: a prospective pilot study Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-07
Abstract Purpose Mediastinal nodal staging is crucial for surgical candidate selection in non-small cell lung cancer (NSCLC), but conventional imaging has limitations often necessitating invasive staging. We investigated the additive clinical value of fibroblast activation protein inhibitor (FAPI) PET/CT, an imaging technique targeting fibroblast activation protein, for mediastinal nodal staging of
-
Transformer based multi-modal MRI fusion for prediction of post-menstrual age and neonatal brain development analysis Med. Image Anal. (IF 10.9) Pub Date : 2024-03-07 Haiyan Zhao, Hongjie Cai, Manhua Liu
The brain development during the perinatal period is characterized by rapid changes in both structure and function, which have significant impact on the cognitive and behavioral abilities later in life. Accurate assessment of brain age is a crucial indicator for brain development maturity and can help predict the risk of neonatal pathology. However, evaluating neonatal brains using magnetic resonance
-
Correction for X-ray Scatter and Detector Crosstalk in Dark-field Radiography IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-07 Theresa Urban, Wolfgang Noichl, Klaus Juergen Engel, Thomas Koehler, Franz Pfeiffer
-
AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging JACC Cardiovasc. Imaging (IF 14.0) Pub Date : 2024-03-06 Robert J.H. Miller MD, Aakash Shanbhag MSc, Aditya Killekar MSc, Mark Lemley BS, Bryan Bednarski MSc, Paul B. Kavanagh MS, Attila Feher MD PhD, Edward J. Miller MD PhD, Timothy Bateman MD, Valerie Builoff BS, Joanna X. Liang BA, David E. Newby MD PhD, Damini Dey PhD, Daniel S. Berman MD, Piotr J. Slomka PhD
Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery calcium (CAC) from CTAC to improve risk prediction but could potentially derive additional anatomic features. The authors evaluated AI-based derivation of cardiac anatomy
-
Hybrid representation learning for cognitive diagnosis in late-life depression over 5 years with structural MRI Med. Image Anal. (IF 10.9) Pub Date : 2024-03-06 Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu
Late-life depression (LLD) is a highly prevalent mood disorder occurring in older adults and is frequently accompanied by cognitive impairment (CI). Studies have shown that LLD may increase the risk of Alzheimer’s disease (AD). However, the heterogeneity of presentation of geriatric depression suggests that multiple biological mechanisms may underlie it. Current biological research on LLD progression
-
Inferring brain causal and temporal-lag networks for recognizing abnormal patterns of dementia Med. Image Anal. (IF 10.9) Pub Date : 2024-03-06 Zhengwang Xia, Tao Zhou, Saqib Mamoon, Jianfeng Lu
Brain functional network analysis has become a popular method to explore the laws of brain organization and identify biomarkers of neurological diseases. However, it is still a challenging task to construct an ideal brain network due to the limited understanding of the human brain. Existing methods often ignore the impact of temporal-lag on the results of brain network modeling, which may lead to some
-
Preclinical validation of a novel brain-penetrant PET ligand for visualization of histone deacetylase 6: a potential imaging target for neurodegenerative diseases Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-05 Tetsuro Tago, Muneyuki Sakata, Masakatsu Kanazawa, Shigeyuki Yamamoto, Kenji Ishii, Jun Toyohara
-
Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning Med. Image Anal. (IF 10.9) Pub Date : 2024-03-05 Álvaro Planchuelo-Gómez, Maxime Descoteaux, Hugo Larochelle, Jana Hutter, Derek K. Jones, Chantal M.W. Tax
Diffusion-relaxation MRI aims to extract quantitative measures that characterise microstructural tissue properties such as orientation, size, and shape, but long acquisition times are typically required. This work proposes a physics-informed learning framework to extract an optimal subset of diffusion-relaxation MRI measurements for enabling shorter acquisition times, predict non-measured signals,
-
Multi-grained Radiology Report Generation with Sentence-level Image-language Contrastive Learning IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-05 Aohan Liu, Yuchen Guo, Jun-hai Yong, Feng Xu
-
-
Tau aggregation following subcortical hemorrhage Eur. J. Nucl. Med. Mol. Imaging (IF 9.1) Pub Date : 2024-03-04 Elena Jaeger, Gérard N. Bischof, Oezguer A. Onur, Marc Schlamann, Alexander Drzezga
-
Ultrasound Shear Wave Elastography in Cardiology JACC Cardiovasc. Imaging (IF 14.0) Pub Date : 2024-03-04 Annette Caenen, Stéphanie Bézy, Mathieu Pernot, Kathryn R. Nightingale, Hendrik J. Vos, Jens-Uwe Voigt, Patrick Segers, Jan D’hooge
The advent of high–frame rate imaging in ultrasound allowed the development of shear wave elastography as a noninvasive alternative for myocardial stiffness assessment. It measures mechanical waves propagating along the cardiac wall with speeds that are related to stiffness. The use of cardiac shear wave elastography in clinical studies is increasing, but a proper understanding of the different factors
-
Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-04 Adam Schmidt, Omid Mohareri, Simon DiMaio, Septimiu E. Salcudean
-
3D virtual histopathology by phase-contrast X-ray micro-CT for follicular thyroid neoplasms IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-04 Kiarash Tajbakhsh, Olga Stanowska, Antonia Neels, Aurel Perren, Robert Zboray
-
Learning Robust Shape Regularization for Generalizable Medical Image Segmentation IEEE Trans. Med. Imaging (IF 10.6) Pub Date : 2024-03-04 Kecheng Chen, Tiexin Qin, Victor Ho-Fun Lee, Hong Yan, Haoliang Li
-
Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures Med. Image Anal. (IF 10.9) Pub Date : 2024-03-02 Mostafa Jahanifar, Adam Shephard, Neda Zamanitajeddin, Simon Graham, Shan E. Ahmed Raza, Fayyaz Minhas, Nasir Rajpoot
Counting of mitotic figures is a fundamental step in grading and prognostication of several cancers. However, manual mitosis counting is tedious and time-consuming. In addition, variation in the appearance of mitotic figures causes a high degree of discordance among pathologists. With advances in deep learning models, several automatic mitosis detection algorithms have been proposed but they are sensitive
-
Tracking and mapping in medical computer vision: A review Med. Image Anal. (IF 10.9) Pub Date : 2024-03-02 Adam Schmidt, Omid Mohareri, Simon DiMaio, Michael C. Yip, Septimiu E. Salcudean
As computer vision algorithms increase in capability, their applications in clinical systems will become more pervasive. These applications include: diagnostics, such as colonoscopy and bronchoscopy; guiding biopsies, minimally invasive interventions, and surgery; automating instrument motion; and providing image guidance using pre-operative scans. Many of these applications depend on the specific
-
TransVFS: A spatio-temporal local–global transformer for vision-based force sensing during ultrasound-guided prostate biopsy Med. Image Anal. (IF 10.9) Pub Date : 2024-03-02 Yibo Wang, Zhichao Ye, Mingwei Wen, Huageng Liang, Xuming Zhang
Robot-assisted prostate biopsy is a new technology to diagnose prostate cancer, but its safety is influenced by the inability of robots to sense the tool-tissue interaction force accurately during biopsy. Recently, vision based force sensing (VFS) provides a potential solution to this issue by utilizing image sequences to infer the interaction force. However, the existing mainstream VFS methods cannot
-
Need for Objective Task-Based Evaluation of Image Segmentation Algorithms for Quantitative PET: A Study with ACRIN 6668/RTOG 0235 Multicenter Clinical Trial Data J Nucl. Med. (IF 9.3) Pub Date : 2024-03-01 Ziping Liu, Joyce C. Mhlanga, Huitian Xia, Barry A. Siegel, Abhinav K. Jha
Reliable performance of PET segmentation algorithms on clinically relevant tasks is required for their clinical translation. However, these algorithms are typically evaluated using figures of merit (FoMs) that are not explicitly designed to correlate with clinical task performance. Such FoMs include the Dice similarity coefficient (DSC), the Jaccard similarity coefficient (JSC), and the Hausdorff distance
-
Preclinical Evaluation of Gastrin-Releasing Peptide Receptor Antagonists Labeled with 161Tb and 177Lu: A Comparative Study J Nucl. Med. (IF 9.3) Pub Date : 2024-03-01 Nadine Holzleitner, Tatjana Cwojdzinski, Roswitha Beck, Nicole Urtz-Urban, Colin C. Hillhouse, Pascal V. Grundler, Nicholas P. van der Meulen, Zeynep Talip, Stijn Ramaekers, Michiel Van de Voorde, Bernard Ponsard, Angela Casini, Thomas Günther
To elucidate potential benefits of the Auger-electron–emitting radionuclide 161Tb, we compared the preclinical performance of the gastrin-releasing peptide receptor antagonists RM2 (DOTA-Pip5-d-Phe6-Gln7-Trp8-Ala9-Val10-Gly11-His12-Sta13-Leu14-NH2) and AMTG (α-Me-Trp8-RM2), each labeled with both 177Lu and 161Tb. Methods: 161Tb/177Lu labeling (90°C, 5 min) and cell-based experiments (PC-3 cells) were
-
It’s a Trap! Aldolase-Prescribed C4 Deoxyradiofluorination Affords Intracellular Trapping and the Tracing of Fructose Metabolism by PET J Nucl. Med. (IF 9.3) Pub Date : 2024-03-01 Alexia Kirby, Dominic Graf, Mojmír Suchý, Nicholas D. Calvert, Thomas A. Charlton, Robert N. Ben, Christina L. Addison, Adam Shuhendler
Fructose metabolism has been implicated in various diseases, including metabolic disorders, neurodegenerative disorders, cardiac disorders, and cancer. However, the limited availability of a quantitative imaging radiotracer has hindered its exploration in pathology and diagnostic imaging. Methods: We adopted a molecular design strategy based on the catalytic mechanism of aldolase, a key enzyme in fructolysis
-
Triggered Seizures for Ictal SPECT Imaging: A Case Series and Feasibility Study J Nucl. Med. (IF 9.3) Pub Date : 2024-03-01 Sabry L. Barlatey, Camille G. Mignardot, Cecilia Friedrichs-Maeder, Kaspar Schindler, Roland Wiest, Andreas Nowacki, Matthias Haenggi, Werner J. Z’Graggen, Claudio Pollo, Axel Rominger, Thomas Pyka, Maxime O. Baud
Ictal SPECT is an informative seizure imaging technique to tailor epilepsy surgery. However, capturing the onset of unpredictable seizures is a medical and logistic challenge. Here, we sought to image planned seizures triggered by direct stimulation of epileptic networks via stereotactic electroencephalography (sEEG) electrodes. Methods: In this case series of 3 adult participants with left temporal
-
First-in-Human Study of 18F-SynVesT-2: An SV2A PET Imaging Probe with Fast Brain Kinetics and High Specific Binding J Nucl. Med. (IF 9.3) Pub Date : 2024-03-01 Lindsey R. Drake, Yanjun Wu, Mika Naganawa, Ruth Asch, Chao Zheng, Soheila Najafzadeh, Richard Pracitto, Marcel Lindemann, Songye Li, Jim Ropchan, David Labaree, Paul R. Emery, Mark Dias, Shannan Henry, Nabeel Nabulsi, David Matuskey, Ansel T. Hillmer, Jean-Dominique Gallezot, Richard E. Carson, Zhengxin Cai, Yiyun Huang
PET imaging of synaptic vesicle glycoprotein 2A allows for noninvasive quantification of synapses. This first-in-human study aimed to evaluate the kinetics, test–retest reproducibility, and extent of specific binding of a recently developed synaptic vesicle glycoprotein 2A PET ligand, (R)-4-(3-(18F-fluoro)phenyl)-1-((3-methylpyridin-4-yl)methyl)pyrrolidine-2-one (18F-SynVesT-2), with fast brain kinetics
-
One-Year Longitudinal Changes in Tau Accumulation on [18F]PI-2620 PET in the Alzheimer Spectrum J Nucl. Med. (IF 9.3) Pub Date : 2024-03-01 Minyoung Oh, Seung Jun Oh, Sang Ju Lee, Jungsu S. Oh, Seung Yeon Seo, Soorack Ryu, Jee Hoon Roh, Jae-Hong Lee, Jae Seung Kim
We investigated the longitudinal changes in cortical tau accumulation and their association with cognitive decline in patients in the Alzheimer disease (AD) continuum using 2-(2-([18F]fluoro)pyridin-4-yl)-9H-pyrrolo[2,3-b:4,5c']dipyridine ([18F]PI-2620) PET. Methods: We prospectively enrolled 52 participants (age, 69.7 ± 8.4 y; 18 men and 34 women): 7 with normal cognition, 28 with mild cognitive impairment
-
Dopamine Transporter SPECT with 12-Minute Scan Duration Using Multiple-Pinhole Collimators J Nucl. Med. (IF 9.3) Pub Date : 2024-03-01 Ralph Buchert, Balazs Szabo, Akos Kovacs, Thomas Buddenkotte, Franziska Mathies, Amir Karimzadeh, Wencke Lehnert, Susanne Klutmann, Attila Forgacs, Ivayla Apostolova
This study evaluated the potential to reduce the scan duration in dopamine transporter (DAT) SPECT when using a second-generation multiple-pinhole (MPH) collimator designed for brain SPECT with improved count sensitivity and improved spatial resolution compared with parallel-hole and fanbeam collimators. Methods: The retrospective study included 640 consecutive clinical DAT SPECT studies that had been