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Academic Journal

Dynamic contrast-enhanced magnetic resonance imaging parameters combined with diffusion-weighted imaging for discriminating malignant lesions, molecular subtypes, and pathological grades in invasive ductal carcinoma patients.

Authors : Zhu G; Department of radiology, Dongguan TungWah hospital, Dongguan, Guangdong, China.; Dong Y

Subjects: Diffusion Magnetic Resonance Imaging*/Diffusion Magnetic Resonance Imaging*/Diffusion Magnetic Resonance Imaging*/methods ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging

Source: PloS one [PLoS One] 2025 Apr 15; Vol. 20 (4), pp. e0320240. Date of Electronic Publication: 2025 Apr 15 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

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

Authors : 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

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology

Source: Scientific reports [Sci Rep] 2025 Apr 27; Vol. 15 (1), pp. 14720. Date of Electronic Publication: 2025 Apr 27.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

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

Authors : Sun Y; School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, 110122, P.R. China.; Liao Q

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/therapy

Source: BMC cancer [BMC Cancer] 2025 Apr 01; Vol. 25 (1), pp. 589. Date of Electronic Publication: 2025 Apr 01.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407

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Academic Journal

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

Authors : 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

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/therapy

Source: BMC cancer [BMC Cancer] 2025 Feb 14; Vol. 25 (1), pp. 264. Date of Electronic Publication: 2025 Feb 14.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407

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Academic Journal

Discrimination of benign and malignant breast lesions on dynamic contrast-enhanced magnetic resonance imaging using deep learning.

Authors : Zhang M; Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital, Nanjing Medical University, Changzhou, Jiangsu Province, P.R. China.; He G

Subjects: Deep Learning* ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging; Humans

Source: Journal of cancer research and therapeutics [J Cancer Res Ther] 2023 Dec 01; Vol. 19 (6), pp. 1589-1596. Date of Electronic Publication: 2023 Dec 28.Publisher: Medknow Publications Country of Publication: India NLM ID: 101249598 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Validation of Clinical Dynamic Contrast-Enhanced Magnetic Resonance Imaging Perfusion Modeling and Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Using 18FDG and 64Cu-DOTA-Trastuzumab Positron Emission Tomography Studies

Authors : Whitman, John; Adhikarla, Vikram; Tumyan, Lusine

Subjects: Biomedical and Clinical Sciences; Oncology and Carcinogenesis; Clinical Research

Source: JCO Clinical Cancer Informatics. 9(9)

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Academic Journal

Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging.

Authors : Han X; Department of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China.; Yang H

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/drug therapy ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology

Source: Cancer medicine [Cancer Med] 2023 Jan; Vol. 12 (2), pp. 1389-1398. Date of Electronic Publication: 2022 Jul 13.Publisher: John Wiley & Sons Ltd Country of Publication: United States NLM ID: 101595310 Publication Model: Print-Electronic Cited Medium: Internet

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Academic Journal

Improved Fuzzy C-Means Clustering Algorithm-Based Dynamic Contrast-Enhanced Magnetic Resonance Imaging Features in the Diagnosis of Invasive Breast Carcinoma before and after Menopause.

Authors : Mei L; Department of Imaging, Wujin Hospital Affiliated with Jiangsu University, Changzhou 213003, China.; Department of Imaging, The Wujin Clinical College of Xuzhou Medical University, Changzhou 213003, China.

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnosis ; Contrast Media*; Algorithms

Source: Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Jun 18; Vol. 2022, pp. 2917844. Date of Electronic Publication: 2022 Jun 18 (Print Publication:Publisher: Hindawi Country of Publication: United States NLM ID: 101277751 Publication Model: eCollection Cited Medium: Internet ISSN: 1748-6718

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Academic Journal

Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning.

Authors : Li L; Department of Medical Iconography, Baoji Central Hospital, Baoji 721008, Shaanxi, China.; Tian H

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Deep Learning*; Algorithms

Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Jun 08; Vol. 2022, pp. 6126061. Date of Electronic Publication: 2022 Jun 08 (Print Publication: Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN:

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Academic Journal

Preoperative evaluation of breast cancer: Contrast-enhanced mammography versus contrast-enhanced magnetic resonance imaging: A systematic review and meta-analysis.

Authors : Shahraki Z; Department of Obstetrics and Gynecology, Zabol University of Medical Science, Zabol, Iran.; Ghaffari M

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging; Breast/Breast/Breast/diagnostic imaging ; Contrast Media

Source: Breast disease [Breast Dis] 2022; Vol. 41 (1), pp. 303-315.Publisher: IOS Press Country of Publication: Netherlands NLM ID: 8801277 Publication Model: Print Cited Medium: Internet ISSN: 1558-1551

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نتائج البحث

فلترة النتائج

Dynamic contrast-enhanced magnetic resonance imaging parameters combined with diffusion-weighted imaging for discriminating malignant lesions, molecular subtypes, and pathological grades in invasive ductal carcinoma patients.

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

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

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

Discrimination of benign and malignant breast lesions on dynamic contrast-enhanced magnetic resonance imaging using deep learning.

Validation of Clinical Dynamic Contrast-Enhanced Magnetic Resonance Imaging Perfusion Modeling and Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Using 18FDG and 64Cu-DOTA-Trastuzumab Positron Emission Tomography Studies

Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging.

Improved Fuzzy C-Means Clustering Algorithm-Based Dynamic Contrast-Enhanced Magnetic Resonance Imaging Features in the Diagnosis of Invasive Breast Carcinoma before and after Menopause.

Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning.

Preoperative evaluation of breast cancer: Contrast-enhanced mammography versus contrast-enhanced magnetic resonance imaging: A systematic review and meta-analysis.

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