Radiology, Nuclear Medicine & Medical Imaging

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Article Acoustics

Highly sensitive HF detection based on absorption enhanced light-induced thermoelastic spectroscopy with a quartz tuning fork of receive and shallow neural network fitting

Xiaonan Liu, Shunda Qiao, Guowei Han, Jinxing Liang, Yufei Ma

Summary: A highly sensitive hydrogen fluoride (HF) sensor based on light-induced thermoelastic spectroscopy (LITES) technique is reported in this study. The sensor utilizes a simple structure and a robust shallow neural network (SNN) fitting algorithm for denoising the spectroscopy data. The system stability is demonstrated through Allan variance analysis and a low minimum detection limit (MDL) is achieved.

PHOTOACOUSTICS (2022)

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Article Acoustics

Consensus on revised definitions of Morphological Uterus Sonographic Assessment (MUSA) features of adenomyosis: results of modified Delphi procedure

M. J. Harmsen, T. van den Bosch, R. A. De Leeuw, M. Dueholm, C. Exacoustos, L. Valentin, W. J. K. Hehenkamp, F. Groenman, C. De Bruyn, C. Rasmussen, L. Lazzeri, L. Jokubkiene, D. Jurkovic, J. Naftalin, T. Tellum, T. Bourne, D. Timmerman, J. A. F. Huirne

Summary: This study aimed to evaluate the need for better-defined Morphological Uterus Sonographic Assessment (MUSA) features of adenomyosis and to reach consensus on updated definitions through a Delphi procedure. The experts identified a need for more detailed definitions of some MUSA features and recommended the use of 3D ultrasound for optimal visualization. Consensus was achieved on the revised definitions and classification of MUSA features as direct or indirect signs of adenomyosis.

ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2022)

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Review Cardiac & Cardiovascular Systems

Cardiovascular Magnetic Resonance for Patients With COVID-19

Steffen E. Petersen, Matthias G. Friedrich, Tim Leiner, Matthew D. Elias, Vanessa M. Ferreira, Maximilian Fenski, Scott D. Flamm, Mark Fogel, Ria Garg, Marc K. Halushka, Allison G. Hays, Nadine Kawel-Boehm, Christopher M. Kramer, Eike Nagel, Ntobeko A. B. Ntusi, Ellen Ostenfeld, Dudley J. Pennell, Zahra Raisi-Estabragh, Scott B. Reeder, Carlos E. Rochitte, Jitka Starekova, Dominika Sucha, Qian Tao, Jeanette Schulz-Menger, David A. Bluemke

Summary: COVID-19 is associated with myocardial injury, and cardiovascular magnetic resonance (CMR) is a noninvasive diagnostic tool that can evaluate the cardiac function and tissue abnormalities in patients recovering from COVID-19. Studies have reported CMR abnormalities in up to 60% of recovered COVID-19 patients, including functional impairment, myocardial tissue abnormalities, late gadolinium enhancement, or pericardial abnormalities.

JACC-CARDIOVASCULAR IMAGING (2022)

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Article Computer Science, Interdisciplinary Applications

ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis

Onat Dalmaz, Mahmut Yurt, Tolga Cukur

Summary: This paper proposes a novel generative adversarial approach, ResViT, which combines the contextual sensitivity of vision transformers, the precision of convolution operators, and the realism of adversarial learning. Demonstrations show that ResViT outperforms competing methods based on CNNs and transformers in terms of qualitative observations and quantitative metrics.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

Head-to-head comparison of [68Ga]Ga-FAPI-04 and [18F]-FDG PET/CT in evaluating the extent of disease in gastric adenocarcinoma

Jonathan Kuten, Charles Levine, Ofer Shamni, Sharon Pelles, Ido Wolf, Guy Lahat, Eyal Mishani, Einat Even-Sapir

Summary: In this pilot study, FAPI PET/CT outperformed FDG PET/CT in detecting primary gastric adenocarcinoma and peritoneal carcinomatosis from gastric cancer. FAPI PET/CT also showed promise for monitoring response to treatment in patients with peritoneal carcinomatosis from gastric cancer; however, larger trials are needed to validate these preliminary findings.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

Varian ethos online adaptive radiotherapy for prostate cancer: Early results of contouring accuracy, treatment plan quality, and treatment time

Mikel Byrne, Ben Archibald-Heeren, Yunfei Hu, Amy Teh, Rhea Beserminji, Emma Cai, Guilin Liu, Angela Yates, James Rijken, Nick Collett, Trent Aland

Summary: The Varian Ethos system enables online adaptive treatments using AI and deformable image registration, automating anatomical contouring and plan optimization processes to improve dosimetry in prostate radiotherapy.

JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

Low-Temperature Plasma for Biology, Hygiene, and Medicine: Perspective and Roadmap

Mounir Laroussi, Sander Bekeschus, Michael Keidar, Annemie Bogaerts, Alexander Fridman, Xinpei Lu, Kostya Ostrikov, Masaru Hori, Katharina Stapelmann, Vandana Miller, Stephan Reuter, Christophe Laux, Ali Mesbah, James Walsh, Chunqi Jiang, Selma Mededovic Thagard, Hiromasa Tanaka, Dawei Liu, Dayun Yan, Maksudbek Yusupov

Summary: This article provides an overview of the applications of plasma in technology and healthcare, discusses innovative concepts and approaches to overcoming current challenges, and proposes ideas and concepts to guide future research efforts.

IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES (2022)

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Article Computer Science, Interdisciplinary Applications

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel

Summary: Most medical image segmentation methods use U-Net or its variants, but they often struggle with detecting smaller structures and accurately segmenting boundary regions. To address this issue, we propose KiU-Net, a convolutional architecture that combines overcomplete projection and U-Net to capture both high-level features and fine details. We demonstrate through experiments on multiple datasets that KiU-Net achieves good performance with fewer parameters and faster convergence.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2022)

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Article Computer Science, Artificial Intelligence

Surgical data science-from concepts toward clinical translation

Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno Maerz, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla Pugh, Danail Stoyanov, Swaroop S. Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor Grantcharov, Makoto Hashizume, Doreen Heckmann-Noetzel, Hannes G. Kenngott, Ron Kikinis, Lars Muendermann, Nassir Navab, Sinan Onogur, Tobias Ross, Raphael Sznitman, Russell H. Taylor, Minu D. Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel R. Leff, Amin Madani, Hani J. Marcus, Ozanan Meireles, Alexander Seitel, Dogu Teber, Frank Ueckert, Beat P. Mueller-Stich, Pierre Jannin, Stefanie Speidel

Summary: Surgical Data Science is a new research field aiming to improve interventional healthcare quality through data analysis, yet lacks translational success stories in surgery. An international workshop reviewed current practice, key achievements, infrastructure, data annotation and sharing, and data analytics standards and tools relevant to the field.

MEDICAL IMAGE ANALYSIS (2022)

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Article Cardiac & Cardiovascular Systems

Clinical Importance of Left Atrial Infiltration in Cardiac Transthyretin Amyloidosis

Francesco Bandera, Raffaele Martone, Liza Chacko, Sharmananthan Ganesananthan, Janet A. Gilbertson, Markella Ponticos, Thirusha Lane, Ana Martinez-Naharro, Carol Whelan, Cristina Quarta, Dorota Rowczenio, Rishi Patel, Yousuf Razvi, Helen Lachmann, Ashutosh Wechelakar, James Brown, Daniel Knight, James Moon, Aviva Petrie, Francesco Cappelli, Marco Guazzi, Luciano Potena, Claudio Rapezzi, Ornella Leone, Philip N. Hawkins, Julian D. Gillmore, Marianna Fontana

Summary: This study characterized left atrial pathology in explanted hearts with transthyretin amyloid cardiomyopathy (ATTR-CM); assessed left atrial mechanics using echocardiographic speckle tracking in a large cohort of ATTR-CM patients; and studied the association with mortality. The findings revealed extensive atrial infiltration of ATTR amyloid, loss of atrial function, and increased stiffness, which were strong independent predictors of mortality. A distinctive phenotype named atrial electromechanical dissociation (AEMD) was identified in patients in sinus rhythm with poor prognosis.

JACC-CARDIOVASCULAR IMAGING (2022)

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Article Computer Science, Artificial Intelligence

ResGANet: Residual group attention network for medical image classification and segmentation

Junlong Cheng, Shengwei Tian, Long Yu, Chengrui Gao, Xiaojing Kang, Xiang Ma, Weidong Wu, Shijia Liu, Hongchun Lu

Summary: Deep learning has shown superior performance in medical image analysis, and the proposed ResGANet model outperforms state-of-the-art backbone models in medical image tasks, providing a promising method for enhancing the feature representation of convolutional neural networks (CNNs) in the future.

MEDICAL IMAGE ANALYSIS (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

Comparison of [68 Ga]Ga-FAPI-04 and [18F]-FDG for the detection of primary and metastatic lesions in patients with gastric cancer: a bicentric retrospective study

Donglang Jiang, Xing Chen, Zhiwen You, Hao Wang, Xiaoyun Zhang, Xiuming Li, Shuhua Ren, Qi Huang, Fengchun Hua, Yihui Guan, Jun Zhao, Fang Xie

Summary: [(68) Ga]Ga-FAPI-04 PET showed a superior detection rate for primary gastric cancer compared to [F-18]-FDG PET. It provided better performance in the diagnosis and staging of gastric cancer.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

COVID-19 mRNA Vaccination: Age and Immune Status and Its Association with Axillary Lymph Node PET/CT Uptake

Michal Eifer, Noam Tau, Yousef Alhoubani, Nayroz Kanana, Liran Domachevsky, Jala Shams, Nir Keret, Malka Gorfine, Yael Eshet

Summary: After receiving COVID-19 mRNA vaccination, a significant proportion of patients showed uptake in the ipsilateral axillary lymph nodes, which was more common in immunocompetent patients.

JOURNAL OF NUCLEAR MEDICINE (2022)

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Article Computer Science, Artificial Intelligence

Federated learning for computational pathology on gigapixel whole slide images

Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipkova, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood

Summary: Deep learning-based computational pathology algorithms show great potential in various tasks, but require large high-quality training data. Collaborative integration of medical data from multiple institutions can enhance model performance, although privacy concerns and data sharing complexities remain challenging.

MEDICAL IMAGE ANALYSIS (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

Correlation of 68Ga-FAPi-46 PET Biodistribution with FAP Expression by Immunohistochemistry in Patients with Solid Cancers: Interim Analysis of a Prospective Translational Exploratory Study

Christine E. Mona, Matthias R. Benz, Firas Hikmat, Tristan R. Grogan, Katharina Lueckerath, Aria Razmaria, Rana Riahi, Roger Slavik, Mark D. Girgis, Giuseppe Carlucci, Kimberly A. Kelly, Samuel W. French, Johannes Czernin, David W. Dawson, Jeremie Calais

Summary: This study demonstrates the high expression of FAP in various cancers and shows that Ga-68-FAPi-46 PET accurately reflects FAP expression. These findings are important for further research on the feasibility of using FAP as a pan-cancer imaging biomarker and a target for therapy.

JOURNAL OF NUCLEAR MEDICINE (2022)

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Review Neurosciences

What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from theENIGMABipolar Disorder Working Group

Christopher R. K. Ching, Derrek P. Hibar, Tiril P. Gurholt, Abraham Nunes, Sophia I. Thomopoulos, Christoph Abe, Ingrid Agartz, Rachel M. Brouwer, Dara M. Cannon, Sonja M. C. de Zwarte, Lisa T. Eyler, Pauline Favre, Tomas Hajek, Unn K. Haukvik, Josselin Houenou, Mikael Landen, Tristram A. Lett, Colm McDonald, Leila Nabulsi, Yash Patel, Melissa E. Pauling, Tomas Paus, Joaquim Radua, Marcio G. Soeiro-de-Souza, Giulia Tronchin, Neeltje E. M. van Haren, Eduard Vieta, Henrik Walter, Ling-Li Zeng, Martin Alda, Jorge Almeida, Dag Alnaes, Silvia Alonso-Lana, Cara Altimus, Michael Bauer, Bernhard T. Baune, Carrie E. Bearden, Marcella Bellani, Francesco Benedetti, Michael Berk, Amy C. Bilderbeck, Hilary P. Blumberg, Erlend Boen, Irene Bollettini, Caterina del Mar Bonnin, Paolo Brambilla, Erick J. Canales-Rodriguez, Xavier Caseras, Orwa Dandash, Udo Dannlowski, Giuseppe Delvecchio, Ana M. Diaz-Zuluaga, Danai Dima, Edouard Duchesnay, Torbjorn Elvsashagen, Scott C. Fears, Sophia Frangou, Janice M. Fullerton, David C. Glahn, Jose M. Goikolea, Melissa J. Green, Dominik Grotegerd, Oliver Gruber, Bartholomeus C. M. Haarman, Chantal Henry, Fleur M. Howells, Victoria Ives-Deliperi, Andreas Jansen, Tilo T. J. Kircher, Christian Knoechel, Bernd Kramer, Beny Lafer, Carlos Lopez-Jaramillo, Rodrigo Machado-Vieira, Bradley J. MacIntosh, Elisa M. T. Melloni, Philip B. Mitchell, Igor Nenadic, Fabiano Nery, Allison C. Nugent, Viola Oertel, Roel A. Ophoff, Miho Ota, Bronwyn J. Overs, Daniel L. Pham, Mary L. Phillips, Julian A. Pineda-Zapata, Sara Poletti, Mircea Polosan, Edith Pomarol-Clotet, Arnaud Pouchon, Yann Quide, Maria M. Rive, Gloria Roberts, Henricus G. Ruhe, Raymond Salvador, Salvador Sarro, Theodore D. Satterthwaite, Aart H. Schene, Kang Sim, Jair C. Soares, Michael Staeblein, Dan J. Stein, Christian K. Tamnes, Georgios V. Thomaidis, Cristian Vargas Upegui, Dick J. Veltman, Michele Wessa, Lars T. Westlye, Heather C. Whalley, Daniel H. Wolf, Mon-Ju Wu, Lakshmi N. Yatham, Carlos A. Zarate, Paul M. Thompson, Ole A. Andreassen

Summary: MRI-derived brain measures have been widely studied in bipolar disorder (BD) and provide insights into the connections between genes, the environment, and behavior. The ENIGMA Bipolar Disorder Working Group is a collaborative effort that aims to generate consensus findings and improve the replicability of studies on BD. Through large-scale neuroimaging studies, the working group has discovered patterns of brain alterations associated with BD, as well as the effects of medications and clinical risk profiles.

HUMAN BRAIN MAPPING (2022)

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Review Neurosciences

Data sharing and privacy issues in neuroimaging research: Opportunities, obstacles, challenges, and monsters under the bed

Tonya White, Elisabet Blok, Vince D. Calhoun

Summary: Collaborative networks and data sharing initiatives provide opportunities for scientific advancement by increasing transparency and enabling external research groups to reproduce and extend research findings. However, challenges arise with new laws that may appear restrictive for open science initiatives. Key to these laws is ensuring participants have control over how their data is used and following their wishes within the legal framework. This manuscript discusses various options and obstacles for data sharing, highlighting the intersection of data sharing, privacy, and data ownership.

HUMAN BRAIN MAPPING (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

Similar patterns of [18F]-FDG brain PET hypometabolism in paediatric and adult patients with long COVID: a paediatric case series

Aurelie Morand, Jacques-Yves Campion, Anne Lepine, Emmanuelle Bosdure, Lea Luciani, Serge Cammilleri, Brigitte Chabrol, Eric Guedj

Summary: Despite lower initial severity at the acute stage of infection, pediatric patients with suspected long COVID showed a similar brain hypometabolic pattern as adult long COVID patients approximately 5 months later, involving bilateral medial temporal lobes, brainstem, cerebellum, and the right olfactory gyrus.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

CD8-Targeted PET Imaging of Tumor-Infiltrating T Cells in Patients with Cancer: A Phase I First-in-Humans Study of 89Zr-Df-IAB22M2C, a Radiolabeled Anti-CD8 Minibody

Michael D. Farwell, Raymond F. Gamache, Hasan Babazada, Matthew D. Hellmann, James J. Harding, Ron Korn, Alessandro Mascioni, William Le, Ian Wilson, Michael S. Gordon, Anna M. Wu, Gary A. Ulaner, Jedd D. Wolchok, Michael A. Postow, Neeta Pandit-Taskar

Summary: This study demonstrates that CD8 PET imaging with Zr-89-Df-IAB22M2C is a safe and effective method for visualizing the whole-body biodistribution of CD8+ leukocytes in tumors and reference tissues, and may predict early response to immunotherapy.

JOURNAL OF NUCLEAR MEDICINE (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

EANM dosimetry committee recommendations for dosimetry of 177Lu-labelled somatostatin-receptor- and PSMA-targeting ligands

Katarina Sjogreen Gleisner, Nicolas Chouin, Pablo Minguez Gabina, Francesco Cicone, Silvano Gnesin, Caroline Stokke, Mark Konijnenberg, Marta Cremonesi, Frederik A. Verburg, Peter Bernhardt, Uta Eberlein, Jonathan Gear

Summary: The EANM Dosimetry Committee aims to provide recommendations and guidance on patient-specific dosimetry for scientists and clinicians. This paper provides an overview of reported dosimetry data for therapies using 177Lu-labelled radiopharmaceuticals, and summarizes the current understanding of radiation-induced side effects on normal tissues and dose-effect relationships for tumors. Dosimetry methods and data for various organs and tissues, as well as guidance based on current evidence, are presented.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2022)

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