Article
Radiology, Nuclear Medicine & Medical Imaging
Masoomeh Rahimpour, Marie-Judith Saint Martin, Frederique Frouin, Pia Akl, Fanny Orlhac, Michel Koole, Caroline Malhaire
Summary: This study developed a visual ensemble selection approach using deep convolutional neural networks (CNN) for 3D segmentation of breast tumors based on T1-weighted dynamic contrast-enhanced (T1-DCE) MRI, achieving good segmentation accuracy.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Nan Meng, Xuejia Wang, Jing Sun, Dongming Han, Yan Bai, Wei Wei, Zhe Wang, Fei Jia, Kaiyu Wang, Meiyun Wang
Summary: DKI is superior to APTWI in differentiating between benign and malignant breast lesions. Each parameter is correlated with some prognostic factors to a certain extent.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jin Joo Kim, Jin You Kim, Hie Bum Suh, Lee Hwangbo, Nam Kyung Lee, Suk Kim, Ji Won Lee, Ki Seok Choo, Kyung Jin Nam, Taewoo Kang, Heeseung Park
Summary: Intratumoral heterogeneity assessed via DCE-MRI and DWI reflects the molecular subtypes of invasive breast cancers. Different tumor subtypes in breast cancer patients show varying levels of kinetic and ADC heterogeneity values.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Han Sol Kang, Jin You Kim, Jin Joo Kim, Suk Kim, Nam Kyung Lee, Ji Won Lee, Hie Bum Suh, Lee Hwangbo, Yohan Son, Robert Grimm
Summary: Quantitative diffusion parameters derived from DKI and DWI are associated with prognostic factors for breast cancer. Moreover, DKI-derived kurtosis can help distinguish between the molecular subtypes of breast cancer.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fanny Orlhac, Augustin Lecler, Julien Savatovski, Jessica Goya-Outi, Christophe Nioche, Frederique Charbonneau, Nicholas Ayache, Frederique Frouin, Loic Duron, Irene Buvat
Summary: The study demonstrated that ComBat harmonization effectively removes inter-center technical inconsistencies in radiomic feature values and increases the sensitivity of studies using data from multiple scanners.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ming Ni, Miao He, Yuxin Yang, Xiaoyi Wen, Yuqing Zhao, Lixiang Gao, Ruixin Yan, Jiajia Xu, Yarui Zhang, Wen Chen, Chenyu Jiang, Yali Li, Qiang Zhao, Peng Wu, Chunlin Li, Junda Qu, Huishu Yuan
Summary: This study investigates the potential applicability of AI-assisted compressed sensing (ACS) in knee MRI. The results show that ACS technology allows for faster scanning in 3D-MRI knee scans without sacrificing diagnostic accuracy compared to traditional techniques.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chiara Zuiani, Iris Mansutti, Guido Caronia, Anna Linda, Viviana Londero, Rossano Girometti
Summary: The study found that using the diffusion levels (DLs) proposed by EUSOBI can improve the diagnostic accuracy of breast MRI, especially in terms of diagnosing malignant lesions.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Minghao Zhong, Zhiqi Yang, Xiaofeng Chen, Ruibin Huang, Mengzhu Wang, Weixiong Fan, Zhuozhi Dai, Xiangguang Chen
Summary: This study aimed to compare the ability of RS-EPI and conventional SS-EPI to differentiate receptor statuses in breast MRI. The results showed that ADC measurements were higher on RS-EPI compared to SS-EPI, and RS-EPI was able to better distinguish between HER-2-positive and HER-2-negative breast cancer.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xue Li, Hong Zhu, Kun Sun, Weimin Chai, Caixia Fu, Fuhua Yan
Summary: This study investigates the feasibility of using SMS rs-EPI DWI for predicting molecular subtypes and axillary lymph node status in invasive breast cancer. The results show that ADC parameters can differentiate different breast cancer subtypes and have potential in predicting lymph node status.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Roberto Lo Gullo, Varadan Sevilimedu, Pascal Baltzer, Denis Le Bihan, Julia Camps-Herrero, Paola Clauser, Fiona J. Gilbert, Mami Iima, Ritse M. Mann, Savannah C. Partridge, Andrew Patterson, Eric E. Sigmund, Sunitha Thakur, Fabienne E. Thibault, Laura Martincich, Katja Pinker
Summary: This study surveyed European Society of Breast Imaging (EUSOBI) radiologist members to gather data on the clinical use of breast DWI. The results showed that most radiologists use DWI as part of their routine protocol, mainly for lesion characterization and prediction of chemotherapy response. The majority of radiologists use two separate b values and prefer an appraisal value of 800 s/mm(2). Synthetic b values are not commonly used and report integration of qualitative and quantitative DWI data is inconsistent.
EUROPEAN RADIOLOGY
(2022)
Article
Oncology
Jia Guo, Weikai Sun, Cheng Dong, Zengjie Wu, Xiaoli Li, Ruizhi Zhou, Wenjian Xu
Summary: The purpose of this study was to evaluate the radiotherapy response in a rabbit VX2 malignant bone tumor model using a combination of intravoxel incoherent motion (IVIM) imaging and diffusion kurtosis imaging (DKI) parameters. The results showed that the combination of IVIM and DKI parameters allowed for the non-invasive assessment of cellular, vascular, and microstructural changes in malignant bone tumors after radiotherapy, and had the potential for monitoring the efficacy of tumor radiotherapy.
Article
Oncology
Zhen Lu Yang, Yi Qi Hu, Jia Huang, Chen Ao Zhan, Min Xiong Zhou, Xiao Yong Zhang, Hui Ting Zhang, Li Ming Xia, Tao Ai
Summary: Although rs-EPI DWI has inferior lesion visibility compared to DCE-MRI, it can detect about 90% of breast lesions identified by DCE-MRI and has comparable diagnostic capacity to that of DCE-MRI in distinguishing breast cancer.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Isaac Daimiel Naranjo, Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Sunitha B. Thakur, Maxine S. Jochelson, Nikita Thakur, Pascal A. T. Baltzer, Thomas H. Helbich, Katja Pinker
Summary: Breast contrast-enhanced MRI is highly sensitive for breast cancer detection, but has low specificity. Multiparametric MRI with diffusion-weighted imaging can improve the accuracy of breast lesion discrimination. Our study demonstrates the potential of multiparametric radiomics and machine learning in assisting lesion differentiation on breast MRI in clinical practice. AI algorithms can support less experienced readers and improve the accuracy of breast lesion discrimination.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hubert Bickel, Paola Clauser, Katja Pinker, Thomas Helbich, Iva Biondic, Boris Brkljacic, Matthias Dietzel, Gordana Ivanac, Barbara Krug, Marco Moschetta, Victor Neuhaus, Klaus Preidler, Pascal Baltzer
Summary: A intuitive and generally applicable system (ADC-B) was developed for the assessment and documentation of apparent diffusion coefficient (ADC) in contrast-enhancing breast lesions. The system provides a simple categorization scheme for ADC values.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yiqi Hu, Qilan Hu, Chenao Zhan, Ting Yin, Tao Ai
Summary: This study investigated the intraobserver and interobserver reproducibility of diffusion-weighted imaging (DWI) measurements, diffusion-kurtosis imaging (DKI) parameters, and image quality evaluation in breast lesions between single-shot echo-planar imaging (ss-EPI) and readout-segmented echo-planar imaging (rs-EPI). The results showed that compared to ss-EPI, rs-EPI had higher intraobserver and interobserver reproducibility for quantitative diffusion-related parameters and image quality assessments.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alexandra Lipka, Eva Niess, Assunta Dal-Bianco, Gilbert J. Hangel, Paulus S. Rommer, Bernhard Strasser, Stanislav Motyka, Lukas Hingerl, Thomas Berger, Petra Hnilicova, Ema Kantorova, Fritz Leutmezer, Egon Kurca, Stephan Gruber, Siegfried Trattnig, Wolfgang Bogner
Summary: Magnetic resonance spectroscopic imaging (MRSI) allows for the assessment of metabolic alterations in multiple sclerosis (MS) that cannot be visualized using conventional magnetic resonance imaging (MRI). This study used 7 T MRSI to evaluate focal metabolic changes in MS lesions that are visible or invisible on MRI. The results showed increased mIns/tNAA levels in focal regions that were not visible on MRI, suggesting the potential of MRSI as an early biomarker in lesion development.
INVESTIGATIVE RADIOLOGY
(2023)
Article
Biophysics
William T. Clarke, Lukas Hingerl, Bernhard Strasser, Wolfgang Bogner, Ladislav Valkovic, Christopher T. Rodgers
Summary: The study introduces a new sequence for cardiac phosphorus magnetic resonance spectroscopic imaging (MRSI) at 7 T, which achieves faster acquisition time and retains high spatial resolution compared to traditional sequences. The proposed sequence is evaluated and compared to existing sequences, showing similar results in a shorter time, and noise reduction using low-rank denoising.
NMR IN BIOMEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fabian Niess, Lukas Hingerl, Bernhard Strasser, Petr Bednarik, Dario Goranovic, Eva Niess, Gilbert Hangel, Martin Krssak, Benjamin Spurny-Dworak, Thomas Scherer, Rupert Lanzenberger, Wolfgang Bogner
Summary: The study successfully demonstrated the noninvasive detection of deuterium-labeled glucose metabolites in the human brain using 3D proton MR spectroscopic imaging. This approach provides a safe, affordable, and versatile method for imaging glucose and neurotransmitter metabolism in the human brain.
INVESTIGATIVE RADIOLOGY
(2023)
Article
Biochemical Research Methods
A. L. Peek, T. J. Rebbeck, A. M. Leaver, S. L. Foster, K. M. Refshauge, N. A. Puts, G. Oeltzschner, MRS Expert Panel
Summary: The aim of this guideline is to provide evidence-based recommendations for using MEGA-PRESS to measure GABA levels. This widely used method at 3T is challenging and has a low signal-to-noise ratio. The guideline, developed by experts in MRS and guideline development, includes 23 recommendations across six domains and has been reviewed and approved by a panel of world leaders in MRS.
ANALYTICAL BIOCHEMISTRY
(2023)
Article
Neurosciences
B. Spurny-Dworak, M. B. Reed, P. Handschuh, T. Vanicek, M. Spies, W. Bogner, R. Lanzenberger
Summary: Seasonal changes in neurotransmitter systems were explored in 159 healthy individuals, and the results indicated that glutamate and GABA levels remain stable throughout the year in healthy individuals, without the need for seasonal correction.
HUMAN BRAIN MAPPING
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Jung Hyun Yoon, Fredrik Strand, Pascal A. T. Baltzer, Emily F. Conant, Fiona J. Gilbert, Constance D. Lehman, Elizabeth A. Morris, Lisa A. Mullen, Robert M. Nishikawa, Nisha Sharma, Ilse Vejborg, Linda Moy, Ritse M. Mann
Summary: This study evaluated the performance of artificial intelligence (AI) in the interpretation of digital mammography and digital breast tomosynthesis (DBT). The results showed that standalone AI performed as well as or better than radiologists in digital mammography, but there were insufficient studies to assess its performance in DBT interpretation.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Pascal A. T. Baltzer
Article
Biochemistry & Molecular Biology
Sazan Rasul, Barbara Katharina Geist, Holger Einspieler, Harun Fajkovic, Shahrokh F. Shariat, Stefan Schmitl, Markus Mitterhauser, Rainer Bartosch, Werner Langsteger, Pascal Andreas Thomas Baltzer, Thomas Beyer, Daria Ferrara, Alexander R. Haug, Marcus Hacker, Ivo Rausch
Summary: This study investigated the use of kinetic parameters derived from [Ga-68]Ga-PSMA-11 PET/CT to predict the histological grade of primary prostate cancer. The results suggest that the association between SUV values and GS may be more distinctive.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Biophysics
Domagoj Javor, Barbara I. Bennani-Baiti, Paola Clauser, Daria Kifjak, Pascal A. T. Baltzer
Summary: In this study, the performance of fully automated software in assessing breast lesions using single-voxel proton magnetic resonance spectroscopy (1H-MRS) spectra was compared with human expert interpretation. The results showed that the diagnostic performance of the software was comparable to that of human expert readers.
NMR IN BIOMEDICINE
(2023)
Article
Oncology
Valeria Romeo, Panagiotis Kapetas, Paola Clauser, Sazan Rasul, Renato Cuocolo, Martina Caruso, Thomas H. Helbich, Pascal A. T. Baltzer, Katja Pinker
Summary: A machine learning-based radiomics approach using hybrid 18F-FDG PET/MRI can predict axillary lymph node involvement in breast cancer. By analyzing primary cancer lesions, this approach can assess tumor heterogeneity, aggressiveness, and propensity to invade. This method can improve preoperative stratification and make PET/MRI a comprehensive tool for local and node staging in breast cancer.
Article
Medicine, General & Internal
Silvester J. Bartsch, Viktoria Ehret, Joachim Friske, Vanessa Froehlich, Daniela Laimer-Gruber, Thomas H. Helbich, Katja Pinker
Summary: Hyperoxic BOLD-MRI can serve as an imaging biomarker for breast cancer molecular subtypes without the use of injected contrast agents. The difference between luminal A and other subtypes can be distinguished using hyperoxic BOLD-MRI independently of the amount of oxygen.
Article
Radiology, Nuclear Medicine & Medical Imaging
Simone Schiaffino, Katja Pinker, Andrea Cozzi, Veronica Magni, Alexandra Athanasiou, Pascal A. T. Baltzer, Julia Camps Herrero, Paola Clauser, Eva M. Fallenberg, Gabor Forrai, Michael H. Fuchsjaeger, Fiona J. Gilbert, Thomas Helbich, Fleur Kilburn-Toppin, Christiane K. Kuhl, Mihai Lesaru, Ritse M. Mann, Pietro Panizza, Federica Pediconi, Francesco Sardanelli, Tamar Sella, Isabelle Thomassin-Naggara, Sophia Zackrisson, Ruud M. Pijnappel
Summary: New evidence has led to updates in recommendations by EUSOBI regarding breast imaging examinations after COVID-19 vaccination. For asymptomatic patients with unilateral lymphadenopathy and no suspicious breast findings, no further work-up is needed. Other recommendations issued in 2021 remain valid.
INSIGHTS INTO IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Paola Clauser, Sazan Rasul, Panagiotis Kapetas, Barbara J. Fueger, Ruxandra-Iulia Milos, Theresa Balber, Neydher Berroteran-Infante, Marcus Hacker, Thomas Hans Helbich, Pascal Andreas Thomas Baltzer
Summary: This study evaluated the use of 18F-Fluoroethylcholine (18F-FEC) as a PET/MRI tracer for the assessment of breast lesions, breast cancer aggressiveness, and prediction of lymph node status. The results showed that simultaneous 18F-FEC PET/MRI is safe and has the potential to be used for evaluating breast cancer aggressiveness and predicting lymph node status.
Article
Radiology, Nuclear Medicine & Medical Imaging
Matthias Dietzel, Maria Bernathova, Paola Clauser, Panagiotis Kapetas, Michael Uder, Pascal A. T. Baltzer
Summary: This study investigated the added value of two internationally used clinical decision rules in the management of enhancing lesions on breast MRI. The findings suggest that one of the rules (KS) performs better in terms of avoiding unnecessary biopsies and inter-reader agreement.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)