Article
Radiology, Nuclear Medicine & Medical Imaging
Yukichi Tanahashi, Shinichi Shoda, Hiroshi Kawada, Tomohiro Ando, Shoma Nagata, Masaki Takasu, Fuminori Hyodo, Satoshi Goshima, Takashi Mori, Masayuki Matsuo
Summary: This study evaluated the feasibility and image quality of intranodal dynamic contrast-enhanced CT lymphangiography (DCCTL) and dynamic contrast-enhanced MR lymphangiography (DCMRL) in microminipigs. The results showed that both DCCTL and DCMRL enabled excellent visualization of central lymphatic ducts and lymphatic leakage, indicating the research and clinical potential of both modalities.
EUROPEAN RADIOLOGY
(2023)
Article
Medicine, Research & Experimental
Anne Rix, Marion Piepenbrock, Barbara Flege, Saskia von Stillfried, Patrick Koczera, Tatjana Opacic, Nina Simons, Peter Boor, Sven Thoroe-Boveleth, Roel Deckers, Jan-Niklas May, Twan Lammers, Georg Schmitz, Elmar Stickeler, Fabian Kiessling
Summary: In breast cancer patients, high MI CDUS did not significantly affect the morphological and functional vascular characteristics of the tumor, but might reduce complete clinical tumor response; in mice with TNBC, high MI CDUS decreased the perfused tumor vessel fraction without affecting chemotherapy accumulation or distribution. Stronger vascular response was observed in murine tumors compared to human tumors, suggesting potential differences in the response to high MI CDUS between species.
Article
Oncology
Xue Han, Huajing Yang, Shiyang Jin, Yunfeng Sun, Hongxia Zhang, Ming Shan, Wen Cheng
Summary: This study aimed to evaluate the value of dynamic contrast-enhanced ultrasound (CEUS) combined with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting pathological complete response (pCR) in patients with breast cancer receiving neoadjuvant chemotherapy (NAC). The combination of CEUS and DCE-MRI showed the best diagnostic performance and proved beneficial for comprehensive assessment and personalizing treatment strategies for patients with breast cancer.
Article
Radiology, Nuclear Medicine & Medical Imaging
Fan Fu, Xuefei Sun, Yingying Li, Yuanbo Liu, Yi Shan, Nan Ji, Xiaochen Wang, Jie Lu, Shengjun Sun
Summary: The study found that K(trans) and changes in K(trans) measured by DCE-MRI were reliable biomarkers for predicting chemotherapy responses in PCNSL patients. These factors may also influence patients' progression-free survival.
EUROPEAN RADIOLOGY
(2021)
Article
Oncology
Kammy Keywani, Alexander B. J. Borgstein, Wietse J. Eshuis, Marieke Pape, Kathelijn S. Versteeg, Sarah Derks, Hanneke W. M. van Laarhoven, Suzanne S. Gisbertz, Rob H. A. Verhoeven, Mark van Berge I. Henegouwen
Summary: The generalizability of perioperative chemotherapy trials for gastric cancer to older patients is uncertain. This retrospective cohort study compared the survival outcomes of patients >= 75 years with gastric adenocarcinoma treated with or without neoadjuvant chemotherapy. The overall survival was not significantly different between patients >= 75 years treated with or without neoadjuvant chemotherapy, but a higher proportion of patients >= 75 years did not proceed to surgery following neoadjuvant chemotherapy compared to younger patients.
Article
Radiology, Nuclear Medicine & Medical Imaging
Qiao Zeng, Mengmeng Ke, Linhua Zhong, Yongjie Zhou, Xuechao Zhu, Chongwu He, Lan Liu
Summary: This study investigated the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-based radiomics in predicting the response to neoadjuvant therapy (NAT) in breast cancer patients. The results showed that radiomics features based on DCE-MRI have the potential to predict pathological complete response (pCR) in the early phase of NAT. Combining radiomics features with clinical-pathological characteristics can further improve the diagnostic performance.
ACADEMIC RADIOLOGY
(2023)
Article
Medicine, General & Internal
Caifeng Wan, Liheng Zhou, Hongli Li, Lin Wang, Fenghua Li, Wenjin Yin, Yaohui Wang, Lixin Jiang, Jinsong Lu
Summary: This study aimed to explore the value of contrast-enhanced ultrasound (CEUS) in predicting pathologic complete response (pCR) and recurrence-free survival (RFS) in locally advanced breast cancer (LABC) patients treated with neoadjuvant chemotherapy (NAC). The study found that molecular subtype, peak intensity (PEAK), and change in diameter were independent predictors of pCR after one cycle of NAC, while molecular subtype, PEAK, and change in time to peak (TTP) were associated with pCR after two cycles of NAC. Higher clinical T and N stages and longer TTP at pre-NAC CEUS were independently associated with poorer RFS. Therefore, CEUS can be used as a technique to predict pCR and RFS early in LABC patients treated with NAC.
Article
Engineering, Biomedical
Tianyu Liu, Hong Wang, Shengpeng Yu, Feiyan Feng, Jun Zhao
Summary: In this paper, a Soft-Attention Guidance Stacked neural Network (SAGS-Net) is proposed to predict Neoadjuvant chemotherapy (NACT) responses from breast dynamic contrast-enhanced MRI (DCE-MRI). SAGS-Net utilizes a self-adapting feature selection strategy to extract peritumoral features and employs stacked spatial models to generate discriminative feature representation. Experimental results show that SAGS-Net achieves superior performance on real-world clinical datasets.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Editorial Material
Oncology
Heather G. Lyu, Chandrajit P. Raut
Summary: Enhanced recovery after surgery pathways have a significant long-term impact on oncologic-specific outcomes for cancer patients undergoing surgery.
Article
Medicine, General & Internal
Juan Peng, Huan Pu, Yan Jia, Chuang Chen, Xiao-Kang Ke, Qing Zhou
Summary: This study demonstrated the potential of CEUS in assisting early prediction of pathologic complete response (pCR) in breast cancer patients undergoing neoadjuvant chemotherapy. Specific CEUS parameters such as internal homogeneity and peak intensity change (PI%) showed predictive ability for pCR, providing a noninvasive approach for early prediction.
Article
Biochemistry & Molecular Biology
Ming Fan, Hang Chen, Chao You, Li Liu, Yajia Gu, Weijun Peng, Xin Gao, Lihua Li
Summary: Breast tumor morphological and vascular characteristics can change during neoadjuvant chemotherapy (NACT), with early changes in tumor heterogeneity being quantitatively modeled using DCE-MRI to predict responses. Radiomics merging clinical and feature-level changes, when combined with molecular subtype information, significantly improves predictive performance in assessing breast tumor response to NACT.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ping Yin, Jie Xu, Xin Sun, Tao Liu, Lei Chen, Nan Hong
Summary: This study explored the role of quantitative intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters in characterizing changes in osteosarcoma (OS) patients receiving neoadjuvant chemotherapy (NACT). The results showed that IVIM quantitative parameters D-Bi, D*-Bi, and f-Bi post-NACT and Delta D-Bi could be used as noninvasive imaging biomarkers for early response assessment of NACT in OS. The study also demonstrated the negative correlation between the efficacy of NACT and D-Bi, D*-Bi post-NACT, and Delta D-Bi, as well as the significant positive correlation with f-Bi post-NACT.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jing Li, Liang-liang Yan, Hong-kai Zhang, Yi Wang, Shu-ning Xu, Hai-liang Li, Jin-rong Qu
Summary: This study aimed to investigate the early prediction of the pathologic response to neoadjuvant chemotherapy (NAC) in patients with locally advanced gastric cancer (LAGC) using diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The results showed that a combination of apparent diffusion coefficients (ADC) and K-ep increased the efficacy in predicting the pathologic response, with ADC being the most valuable imaging parameter.
ABDOMINAL RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yanbo Li, Yongzi Chen, Rui Zhao, Yu Ji, Junnan Li, Ying Zhang, Hong Lu
Summary: A nomogram based on pretreatment DCE-MRI was developed to predict pCR after NAC in TNBC patients. Tumor volume on DCE-MRI, TTP, and AR status were identified as independent predictors of pCR. The nomogram showed good predictive performance in both the primary and validation cohorts.
EUROPEAN RADIOLOGY
(2022)
Article
Oncology
Zhongyi Wang, Fan Lin, Heng Ma, Yinghong Shi, Jianjun Dong, Ping Yang, Kun Zhang, Na Guo, Ran Zhang, Jingjing Cui, Shaofeng Duan, Ning Mao, Haizhu Xie
Summary: A radiomics nomogram incorporating CESM-derived radiomics features and clinical parameters was developed to predict NAC-insensitive breast cancers before treatment. The nomogram showed good discrimination and clinical usefulness in both the training and validation sets, indicating its potential feasibility for predicting NAC sensitivity in breast cancers.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Anwar R. Padhani, Ivo Schoots, Geert Villeirs
Summary: The benefits and drawbacks of dynamic contrast-enhanced MRI for prostate cancer diagnosis are increasingly recognized, with many centers adopting the biparametric MRI approach as the default initial approach. However, more prospective data are needed to evaluate the efficacy and applicability of this approach.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Ivo G. Schoots, Jelle O. Barentsz, Leonardo K. Bittencourt, Masoom A. Haider, Katarzyna J. Macura, Daniel J. A. Margolis, Caroline M. Moore, Aytekin Oto, Valeria Panebianco, Mohummad M. Siddiqui, Clare Tempany, Baris Turkbey, Geert M. Villeirs, Jeffrey C. Weinreb, Anwar R. Padhani
Summary: The increasing demand for diagnostic prostate MRI has raised concerns about access to qualified MRI equipment and experienced medical personnel. Solutions should aim to improve operational efficiency while maintaining diagnostic performance and quality. Strategies could involve implementing MRI without contrast medium or using a risk-based approach for protocol selection.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2021)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Anwar R. Padhani, Ivo G. Schoots, Baris Turkbey, Gianluca Giannarini, Jelle O. Barentsz
EUROPEAN RADIOLOGY
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Sandy Van Nieuwenhove, Julien Van Damme, Anwar R. Padhani, Vincent Vandecaveye, Bertrand Tombal, Joris Wuts, Vassiliki Pasoglou, Frederic E. Lecouvet
Summary: Over the past decade, advancements in updated definitions and therapies have remarkably changed the management of prostate cancer patients. Modern imaging techniques, including whole-body magnetic resonance imaging (WB-MRI) and nuclear medicine, provide accurate staging and evaluation of disease response to treatment. This paper discusses the evolution and current state-of-the-art of WB-MRI imaging protocols and highlights its applications in prostate cancer care.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Review
Oncology
E. J. Bass, A. Pantovic, M. Connor, R. Gabe, A. R. Padhani, A. Rockall, H. Sokhi, H. Tam, M. Winkler, H. U. Ahmed
Summary: Biparametric MRI shows comparable diagnostic performance to multiparametric MRI in detecting prostate cancer, but heterogeneity exists which prevents definitive recommendations from being made. Prospective multicentre studies are needed to further assess the efficacy of biparametric MRI in biopsy naive men.
PROSTATE CANCER AND PROSTATIC DISEASES
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Matthew N. Gwilliam, David J. Collins, Martin O. Leach, Matthew R. Orton
Summary: This study demonstrated the challenges and errors in accurately measuring T1 of flowing blood using DCE-MRI, particularly in the context of pulsatile flow and rapidly changing T1. The non-linear relationship between measured T1 values and flow velocity was identified, leading to significant inaccuracies in quantifying contrast agent concentration in flowing blood. Suggestions were made to reduce these errors.
BRITISH JOURNAL OF RADIOLOGY
(2021)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Tobias Penzkofer, Anwar R. Padhani, Baris Turkbey, Hashim U. Ahmed
EUROPEAN RADIOLOGY
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Anwar R. Padhani, Masoom A. Haider, Olivier Rouviere
Summary: Before a prostate biopsy, balancing the benefits and harms of MRI results is important, as well as considering patients' preferences and tolerance. Decision curve analysis shows that combining clinical risk factors with MRI findings optimizes biopsy outcomes across a range of clinically relevant risk thresholds.
EUROPEAN RADIOLOGY
(2022)
Editorial Material
Urology & Nephrology
Anwar R. Padhani, Olivier Rouviere, Ivo G. Schoots
Article
Radiology, Nuclear Medicine & Medical Imaging
Martina Pecoraro, Baris Turkbey, Andrei S. Purysko, Rossano Girometti, Gianluca Giannarini, Geert Villeirs, Michela Roberto, Carlo Catalano, Anwar R. Padhani, Jelle O. Barentsz, Valeria Panebianco
Summary: This study aimed to evaluate the diagnostic accuracy of prostate imaging for recurrence reporting (PI-RR) in detecting local recurrence in patients with biochemical recurrence (BCR) after radiation therapy (RT) or radical prostatectomy (RP), as well as assess the interreader variability of PI-RR scoring. The results show that MRI scoring with PI-RR provides a structured, reproducible, and accurate evaluation of local recurrence after definitive therapy for prostate cancer.
Review
Urology & Nephrology
Tristan Barrett, Maarten de Rooij, Francesco Giganti, Clare Allen, Jelle O. Barentsz, Anwar R. Padhani
Summary: Multiparametric MRI of the prostate is recommended as the initial diagnostic test for suspected prostate cancer. Each step of the diagnostic pathway requires experienced clinicians and standardized workflows. Quality assurance processes and control measures are essential for the success of the MRI-directed prostate cancer diagnostic pathway.
NATURE REVIEWS UROLOGY
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Anwar R. Padhani, Ivo G. Schoots
Article
Radiology, Nuclear Medicine & Medical Imaging
Anwar R. R. Padhani, Ivo G. G. Schoots
Summary: This article comprehensively reviews the integration of MRI as a diagnostic tool in prostate cancer screening and provides practical recommendations for optimizing its use. To strike a balance between the benefits of early detection and minimizing harm, understanding the context of MRI use is crucial. Patient selection and MRI-targeted biopsies are key to optimization, along with screening-specific MRI protocols and accuracy levels. Automation, image quality monitoring, post-processing, radiologist certification, and deep-learning computer-aided software contribute to improved readings. The optimal utilization of MRI involves integrating it into a multi-step diagnostic pathway with quality-assured, cost-effective infrastructure ensuring community-wide access.
EUROPEAN RADIOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Konstantinos Zormpas-Petridis, Nina Tunariu, Andra Curcean, Christina Messiou, Sebastian Curcean, David J. Collins, Julie C. Hughes, Yann Jamin, Dow-Mu Koh, Matthew D. Blackledge
Summary: Utilizing deep learning, the study successfully improved the quality of subsampled images, with the majority of processed images achieving good quality ratings. The model's effectiveness was demonstrated across various cases, showing promising potential for clinical applications in reducing image acquisition times without compromising image quality.
RADIOLOGY-ARTIFICIAL INTELLIGENCE
(2021)
Article
Urology & Nephrology
Ivo G. Schoots, Anwar R. Padhani