Search Results - "dynamic contrast-enhanced magnetic resonance imaging"

Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorithm.

Li Q; First Clinical Medical College, Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Cancer, Nanjing University of Chinese Medicine, Nanjing, China.; Department of Rehabilitation Medicine, School of Acupuncture-Moxibustion and Tuina and School of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, China., Li W; First Clinical Medical College, Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Cancer, Nanjing University of Chinese Medicine, Nanjing, China., Wang J; Department of Radiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China., Li X; Department of Urology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, China., Ji Y; Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China., Wu M; First Clinical Medical College, Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Cancer, Nanjing University of Chinese Medicine, Nanjing, China.

Journal Article , 2025

DCE-MRI functional NTCP modeling in SBRT for hepatocellular carcinoma.

Velten C; Department of Radiation Oncology, Montefiore Medical Center, Bronx, NY, USA; Institute for Onco-Physics, Albert Einstein College of Medicine, Bronx, NY, USA. Electronic address: cvelten@montefiore.org., Gjini M; Department of Radiation Oncology, Montefiore Medical Center, Bronx, NY, USA., Tomé WA; Department of Radiation Oncology, Montefiore Medical Center, Bronx, NY, USA; Institute for Onco-Physics, Albert Einstein College of Medicine, Bronx, NY, USA., Brodin NP; Department of Radiation Oncology, Montefiore Medical Center, Bronx, NY, USA; Institute for Onco-Physics, Albert Einstein College of Medicine, Bronx, NY, USA., Kabarriti R; Department of Radiation Oncology, Montefiore Medical Center, Bronx, NY, USA.

Journal Article , 2025

Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor.

Bagher-Ebadian H; Department of Radiation Oncology, Henry Ford Hospital, Detroit, USA. hbagher1@hfhs.org.; Department of Radiology, Michigan State University, East Lansing, USA. hbagher1@hfhs.org.; Department of Physics, Oakland University, Rochester, USA. hbagher1@hfhs.org.; Department of Oncology, School of Medicine, Wayne State University, Detroit, USA. hbagher1@hfhs.org., Brown SL; Department of Radiation Oncology, Henry Ford Hospital, Detroit, USA.; Department of Radiology, Michigan State University, East Lansing, USA.; Department of Oncology, School of Medicine, Wayne State University, Detroit, USA., Ghassemi MM; Department of Computer Science and Engineering, Michigan State University, East Lansing, USA., Acharya PC; Department of Physics, Oakland University, Rochester, USA., Chetty IJ; Department of Physics, Oakland University, Rochester, USA.; Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angles, USA., Movsas B; Department of Radiation Oncology, Henry Ford Hospital, Detroit, USA.; Department of Radiology, Michigan State University, East Lansing, USA., Ewing JR; Department of Radiology, Michigan State University, East Lansing, USA.; Department of Physics, Oakland University, Rochester, USA.; Department of Neurology, Henry Ford Hospital, Detroit, USA., Thind K; Department of Radiation Oncology, Henry Ford Hospital, Detroit, USA.; Department of Radiology, Michigan State University, East Lansing, USA.; Department of Oncology, School of Medicine, Wayne State University, Detroit, USA.

Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't , 2025

Evaluation of treatment response by multiparametric MR imaging in locally advanced rectal tumors following neoadjuvant chemotherapy.

Fidan M; Department of Radiology, Ordu Fatsa State Hospital, Evkaf, Hastane Yolu No:5, 52400, Fatsa/Ordu, Turkey., Nural MS; Department of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey., Çamlıdağ İ; Department of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey. ilkayozaydin@hotmail.com., Yürüker SS; Department of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey., Meydan BC; Department of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey.

Evaluation Study; Journal Article , 2024

DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer.

Ding Z; Department of Radiology, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu 241000, China., Zhang C; Department of Radiology, Huzhou Central Hospital, No. 1558 Third Ring North Road, Huzhou 313000, China., Xia C; Department of Radiology, Jiangsu Cancer Hospital, No. 42 BaiziTing Road, Xuanwu District, Nanjing 210000, China., Yao Q; Department of Radiology, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu 241000, China., Wei Y; Department of Radiology, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu 241000, China., Zhang X; Department of Medical Imaging, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu 241000, China., Zhao N; Department of Radiology, The First Affiliated Hospital of Bengbu Medical University, No. 801 Zhihuai Road, Bengbu 233004, China., Wang X; Clinical Institute of Wannan Medical College, No. 2 Zheshan West Road, Wuhu 241000, China. Electronic address: Wxm6901@aliyun.com., Shi S; Department of Gynaecology and Obstetrics, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu 241000, China. Electronic address: shisuhua1840@126.com.

Journal Article , 2025

Predicting c-KIT Inhibitor Efficacy in Patient-Derived Models of Sinonasal Mucosal Melanomas through Integrated Histogram Analysis of Whole-Tumor DKI, IVIM, and DCE-MRI.

Wang C; Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.; Department of Nuclear Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China., Niu X; Department of Nuclear Medicine, Hebei Medical University, Shijiazhuang, China., Xia T; Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China., Wang P; Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, China., Wang Y; Department of Radiology, Zhongshan Hospital of Fudan University, Fudan University, Shanghai, China., Zhang Z; Siemens Healthcare Ltd., Shanghai, China., Zhang J; Department of Nuclear Medicine, Baoding No. 1 Central Hospital, China., Ju S; Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China., Xiao Z; Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.; Department of Biomedical Sciences, University of Pennsylvania, Philadelphia, Pennsylvania.

Journal Article , 2025

Large blood vessel segmentation in quantitative DCE-MRI of brain tumors: A Swin UNETR approach.

Kesari A; Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India., Maurya S; Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India., Sheikh MT; Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India., Gupta RK; Department of Radiology, Fortis Memorial Research Institute, Gurugram, India., Singh A; Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India; Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India; Yardi School for Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, India. Electronic address: anupsm@iitd.ac.in.

Journal Article , 2025

Optimizing Deep Learning Models for Luminal and Nonluminal Breast Cancer Classification Using Multidimensional ROI in DCE-MRI-A Multicenter Study.

Huang Z; Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.; Guangdong Provincial Engineering Research Center of Molecular Imaging, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China., Qiu Z; Department of Breast Surgery, Huizhou Central People's Hospital, Huizhou, China., Chen S; Linyi People's Hospital, Linyi, China., Zhang Y; Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China., Wang K; Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China., Zeng Q; Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China., Huang Y; Department of Breast Surgery, Huizhou Central People's Hospital, Huizhou, China., Zhang Y; Linyi People's Hospital, Linyi, China., Bu J; Department of Gastrointestinal Surgery, the Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai, China.

Journal Article; Multicenter Study , 2025

Intratumoral and peritumoral radiomics signature based on DCE-MRI can distinguish between luminal and non-luminal breast cancer molecular subtypes.

Xu H; Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China., Yang A; Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China., Kang M; Department of Radiology, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, China., Lai H; Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Zhou X; Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Chen Z; Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China., Lin L; Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China., Zhou P; Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China., Deng H; Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China. dengheping1@126.com.

Journal Article , 2025

Dynamic contrast enhanced MRI in nodal lymphoma: correlation of quantitative MR perfusion parameters with lymphoma subtype, Lugano stage, and Ki-67 index.

Kataria R; Department of Radio-Diagnosis, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi 110029, India., Ghasi RG; Department of Radio-Diagnosis, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi 110029, India., Kataria SP; Department of Medical Oncology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi 110029, India., Kolte S; Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi 110029, India.

Journal Article , 2025

DCE-MRI Detects OATP-expressing Transplanted Cells Using Clinical Doses of Gadolinium Contrast Agent.

Bhattacharyya T; Department of Radiology, and Institute for Quantitative Health Sciences and Engineering, Michigan State University, 846 Service Rd, East Lansing, MI, 48824, USA., Mallett CL; Department of Radiology, and Institute for Quantitative Health Sciences and Engineering, Michigan State University, 846 Service Rd, East Lansing, MI, 48824, USA., Hix JM; Department of Radiology, and Institute for Quantitative Health Sciences and Engineering, Michigan State University, 846 Service Rd, East Lansing, MI, 48824, USA., Shapiro EM; Department of Radiology, and Institute for Quantitative Health Sciences and Engineering, Michigan State University, 846 Service Rd, East Lansing, MI, 48824, USA. shapir86@msu.edu.

Journal Article , 2025

DCE-MRI radiomics of primary breast lesions combined with ipsilateral axillary lymph nodes for predicting efficacy of NAT.

Sun Y; School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, 110122, P.R. China., Liao Q; School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, 110122, P.R. China., Fan Y; Department of Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, 200082, P.R. China., Cui C; Department of Breast Imaging, Affiliated Hospital of Qingdao University, Qingdao, Shandong, 266100, P.R. China., Wang Y; School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, 110122, P.R. China., Yang C; School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, 110122, P.R. China., Hou Y; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, P.R. China. houyang1973@163.com., Zhao D; Department of Medical Imaging, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, 110042, P.R. China. zhaodan777@126.com.

Journal Article , 2025

The Role of Dynamic Contrast Enhanced Magnetic Resonance Imaging in Evaluating Prostate Adenocarcinoma: A Partially-Blinded Retrospective Study of a Prostatectomy Patient Cohort With Whole Gland Histopathology Correlation and Application of PI-RADS or TNM Staging.

Sridhar S; Department of Radiology, Houston Methodist Research Institute, Houston, Texas, USA., Abouelfetouh Z; Department of Radiology, Houston Methodist Research Institute, Houston, Texas, USA., Codreanu I; Department of Radiology, Houston Methodist Research Institute, Nicolae Testemițanu State University of Medicine and Pharmacy, Chișinău, Moldova., Gupta N; Department of Radiology, Houston Methodist Hospital, Houston Methodist Research Institute, Houston Radiology Associated, Houston, Texas, USA., Zhang S; Department of Radiology, Houston Methodist Research Institute, Houston, Texas, USA., Efstathiou E; Department of Medicine, Houston Methodist Hospital, Houston Methodist Oncology Partners, Houston, Texas, USA., Karolyi DK; Department of Radiology, Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA., Shen SS; Department of Pathology, Houston Methodist Hospital, Houston Methodist Research Institute, Houston, Texas, USA., LaViolette PS; Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Miles B; Department of Urology, Houston Methodist Hospital, Houston Methodist Urology Associates, Houston, Texas, USA., Martin DR; Department of Pathology, Houston Methodist Hospital, Houston Methodist Research Institute, Houston, Texas, USA.

Journal Article , 2025

Feasibility of ultrafast DCE-MRI for identifying benign and malignant breast lesions.

Huang J; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Army Engineering University of PLA, Nanjing, China., Ao Y; Department of Radiology, the Second People's Hospital of Yibin, Yibin, China; Neuroimaging Big Data Research Center, Clinical Research and Translational Center, the Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, Yibin, China., Mu L; Chengdu Pidu District People's Hospital, Chengdu, China., Zhao J; Department of Radiology, the Second People's Hospital of Yibin, Yibin, China; Neuroimaging Big Data Research Center, Clinical Research and Translational Center, the Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, Yibin, China., Chen H; Department of Radiology, the Second People's Hospital of Yibin, Yibin, China; Neuroimaging Big Data Research Center, Clinical Research and Translational Center, the Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, Yibin, China., Yang L; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China., Yao B; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China., Zhang S; United Imaging Healthcare, Shanghai, China., Yang S; United Imaging Healthcare, Shanghai, China., Mok GSP; Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao; Center for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Taipa, Macao., Zhang K; Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany., Hu Z; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; State Key Laboratory of Biomedical Imaging Science and System, Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, China., Li Y; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; State Key Laboratory of Biomedical Imaging Science and System, Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, China., Liang D; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; State Key Laboratory of Biomedical Imaging Science and System, Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, China., Liu X; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; State Key Laboratory of Biomedical Imaging Science and System, Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, China., Zheng H; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; State Key Laboratory of Biomedical Imaging Science and System, Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, China., Qiu L; Department of Radiology, the Second People's Hospital of Yibin, Yibin, China; Neuroimaging Big Data Research Center, Clinical Research and Translational Center, the Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, Yibin, China. Electronic address: qlh20050616@foxmail.com., Zhang N; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; State Key Laboratory of Biomedical Imaging Science and System, Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, China; United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China. Electronic address: na.zhang@siat.ac.cn.

Journal Article , 2025

A groupwise multiresolution network for DCE-MRI image registration.

Strittmatter A; Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany. Anika.Strittmatter@medma.uni-heidelberg.de.; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany. Anika.Strittmatter@medma.uni-heidelberg.de., Weis M; Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany., Zöllner FG; Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.

Journal Article , 2025

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations.

Garrucho L; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain. lgarrucho@ub.edu.; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden. lgarrucho@ub.edu., Kushibar K; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain., Reidel CA; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain., Joshi S; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain., Osuala R; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain.; Institute of Machine Learning in Biomedical Imaging, Helmholtz Center Munich, Munich, Germany.; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany., Tsirikoglou A; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden., Bobowicz M; 2nd Dept. of Radiology, Medical University of Gdansk, Gdansk, Poland., Del Riego J; Área de Radiología Mamaria y Ginecológica (UDIAT CD), Parc Taulí Hospital Universitari, Sabadell, Spain., Catanese A; Unitat de Diagnòstic per la Imatge de la Mama (UDIM), Hospital Germans Trias i Pujol, Badalona, Spain., Gwoździewicz K; 2nd Dept. of Radiology, Medical University of Gdansk, Gdansk, Poland., Cosaka ML; Centro Mamario Instituto Alexander Fleming, Buenos Aires, Argentina., Abo-Elhoda PM; Department of Diagnostic & Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt., Tantawy SW; Department of Diagnostic & Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt., Sakrana SS; Department of Diagnostic & Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt., Shawky-Abdelfatah NO; Department of Diagnostic & Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt., Salem AMA; Department of Diagnostic & Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt., Kozana A; Department of Radiology, University Hospital of Heraklion, Stavrakia, Greece., Divjak E; Department of Diagnostic and Interventional Radiology, University Hospital Dubrava, Zagreb, Croatia.; University of Zagreb, School of Medicine, Zagreb, Croatia., Ivanac G; Department of Diagnostic and Interventional Radiology, University Hospital Dubrava, Zagreb, Croatia.; University of Zagreb, School of Medicine, Zagreb, Croatia., Nikiforaki K; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas, Heraklion, Greece., Klontzas ME; Department of Radiology, School of Medicine, University of Crete, Heraklion, Greece., García-Dosdá R; Medical Imaging and Radiology, Universitary and Politechnic Hospital La Fe, Valencia, Spain., Gulsun-Akpinar M; Department of Radiology, Hacettepe University Faculty of Medicine Sihhiye, Ankara, Turkey., Lafcı O; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Mann R; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands., Martín-Isla C; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain., Prior F; University of Arkansas for Medical Sciences, Little Rock, AR, US., Marias K; Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece.; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece., Starmans MPA; Department of Radiology and Nuclear Medicine, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Pathology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands., Strand F; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Breast Radiology, Karolinska University Hospital, Stockholm, Sweden., Díaz O; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain., Igual L; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain., Lekadir K; Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain.; Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, Barcelona, Spain.

Journal Article; Dataset; Multicenter Study , 2025

DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers.

Yang C; Department of Radiology, Shaoxing People's Hosipital, Shaoxing, China., Zhu F; Department of Radiology, Shaoxing People's Hosipital, Shaoxing, China., Yang J; Department of Radiology, Shaoxing People's Hosipital, Shaoxing, China., Wang M; Department of Pathology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China., Zhang S; Department of Pathology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China. shujun_zhang@163.com., Zhao Z; Department of Radiology, Shaoxing People's Hosipital, Shaoxing, China. zhao2075@163.com.

Journal Article , 2025

Comparing DCE-MRI and DSA: Understanding the embolization of hypervascular spinal metastases.

Adnan M; University Hospital of Wales, Cardiff, UK., Farukh AM; University of Galway, Galway, Ireland., Ali SMS; Department of Medicine, Liaquat National Hospital and Medical College, Karachi, Sindh, Pakistan., Mubashir M; Department of Medicine, Liaquat National Hospital and Medical College, Karachi, Sindh, Pakistan., Jauhar I; Department of Medicine, Liaquat National Hospital and Medical College, Karachi, Sindh, Pakistan., Raheem A; Baqai Medical University, Karachi, Pakistan.

Journal Article; Review; Comparative Study , 2025

RAE-Net: a multi-modal neural network based on feature fusion and evidential deep learning algorithm in predicting breast cancer subtypes on DCE-MRI.

Tang X; Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 42 Baiziting, Nanjing, Jiangsu Province, 210009, People's Republic of China., Zhu Y; Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 42 Baiziting, Nanjing, Jiangsu Province, 210009, People's Republic of China.

Journal Article , 2025

Delta dual‑region DCE-MRI radiomics from breast masses predicts axillary lymph node response after neoadjuvant therapy for breast cancer.

Zeng Q; Department of Radiology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China., Deng Y; Department of Ultrasound, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China., Nan J; Department of Radiology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China., Zou Z; Jiangxi Medical College, Nanchang University, Nanchang, China., Yu T; Department of Breast Surgery, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China. tengyeyu2024@163.com., Liu L; Department of Radiology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China. liulan202306@163.com.

Journal Article , 2025