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Academic Journal

Predicting postoperative recurrence and survival in glioma patients using enhanced MRI-based delta habitat radiomics: an 8-year retrospective pilot study.

Authors : Li X; Department of Oncology, Surgery and Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.; Department of Internal Medicine, Pathology and Epidemiology, Xiangyang Key Laboratory of Maternal-Fetal Medicine on Fetal Congenital Heart Disease, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Hubei, P.R.C, Xiangyang, Hubei Province, 441000, China.

Subjects: Neoplasm Recurrence, Local*/Neoplasm Recurrence, Local*/Neoplasm Recurrence, Local*/diagnostic imaging ; Neoplasm Recurrence, Local*/Neoplasm Recurrence, Local*/Neoplasm Recurrence, Local*/pathology ; Neoplasm Recurrence, Local*/Neoplasm Recurrence, Local*/Neoplasm Recurrence, Local*/surgery

Source: World journal of surgical oncology [World J Surg Oncol] 2025 Mar 28; Vol. 23 (1), pp. 104. Date of Electronic Publication: 2025 Mar 28.Publisher: BioMed Central Country of Publication: England NLM ID: 101170544 Publication Model: Electronic Cited Medium: Internet ISSN: 1477-7819

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Academic Journal

Hippocampal functional imaging-derived radiomics features for diagnosing cognitively impaired patients with Parkinson's disease.

Authors : Zeng W; Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, People's Republic of China.; Neuroradiology Laboratory, Jiangxi Province Medical Imaging Research Institute, Nanchang, 330006, People's Republic of China.

Subjects: Parkinson Disease*/Parkinson Disease*/Parkinson Disease*/diagnostic imaging ; Parkinson Disease*/Parkinson Disease*/Parkinson Disease*/physiopathology ; Parkinson Disease*/Parkinson Disease*/Parkinson Disease*/complications

Source: BMC neuroscience [BMC Neurosci] 2025 Mar 28; Vol. 26 (1), pp. 27. Date of Electronic Publication: 2025 Mar 28.Publisher: BioMed Central Country of Publication: England NLM ID: 100966986 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2202

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Academic Journal

Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning.

Authors : Wang L; Computer Center, Tongji Hospital, Tongji Medical College, Uazhong University of Science and Technology, Wuhan, China.; Zhang P

Subjects: Testicular Neoplasms*/Testicular Neoplasms*/Testicular Neoplasms*/diagnostic imaging ; Testicular Neoplasms*/Testicular Neoplasms*/Testicular Neoplasms*/pathology ; Machine Learning*

Source: BMC cancer [BMC Cancer] 2025 Mar 28; Vol. 25 (1), pp. 563. Date of Electronic Publication: 2025 Mar 28.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

Machine learning-based radiomics using MRI to differentiate early-stage Duchenne and Becker muscular dystrophy in children.

Authors : Chen T; Department of Radiology, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, China.; Department of Radiology, Shenzhen Children's Hospital, Shantou University Medical College, Shenzhen, China.

Subjects: Muscular Dystrophy, Duchenne*/Muscular Dystrophy, Duchenne*/Muscular Dystrophy, Duchenne*/diagnostic imaging ; Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Machine Learning*

Source: BMC musculoskeletal disorders [BMC Musculoskelet Disord] 2025 Mar 22; Vol. 26 (1), pp. 287. Date of Electronic Publication: 2025 Mar 22.Publisher: BioMed Central Country of Publication: England NLM ID: 100968565 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2474

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Academic Journal

Early prediction of progression-free survival of patients with locally advanced nasopharyngeal carcinoma using multi-parametric MRI radiomics.

Authors : Jian L; Hunan Cancer Hospital, Central South University, No.283, TongzipoRoad, Changsha, 410013, China.; Sheng C

Subjects: Nasopharyngeal Carcinoma*/Nasopharyngeal Carcinoma*/Nasopharyngeal Carcinoma*/diagnostic imaging ; Nasopharyngeal Carcinoma*/Nasopharyngeal Carcinoma*/Nasopharyngeal Carcinoma*/mortality ; Nasopharyngeal Carcinoma*/Nasopharyngeal Carcinoma*/Nasopharyngeal Carcinoma*/pathology

Source: BMC cancer [BMC Cancer] 2025 Mar 21; Vol. 25 (1), pp. 519. Date of Electronic Publication: 2025 Mar 21.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

Prediction of pathological complete response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer using 18 F-FDG PET radiomics features of primary tumour and lymph nodes.

Authors : Liu X; Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huanhuxi Road, Hexi Distinct, Tianjin, 300060, China.; Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.

Subjects: Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/diagnostic imaging ; Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/therapy ; Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/pathology

Source: BMC cancer [BMC Cancer] 2025 Mar 21; Vol. 25 (1), pp. 520. Date of Electronic Publication: 2025 Mar 21.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

Intratumoral microbiota-aided fusion radiomics model for predicting tumor response to neoadjuvant chemoimmunotherapy in triple-negative breast cancer.

Authors : Chen Y; School of Medicine, South China University of Technology, Guangzhou, 510006, China.; Department of Breast Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Road, Yuexiu District, Guangzhou, 510080, People's Republic of China.

Subjects: Neoadjuvant Therapy* ; Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/diagnostic imaging ; Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/pathology

Source: Journal of translational medicine [J Transl Med] 2025 Mar 20; Vol. 23 (1), pp. 352. Date of Electronic Publication: 2025 Mar 20.Publisher: BioMed Central Country of Publication: England NLM ID: 101190741 Publication Model: Electronic Cited Medium: Internet ISSN: 1479-5876

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Academic Journal

Establishment and validation of a ResNet-based radiomics model for predicting prognosis in cervical spinal cord injury patients.

Authors : Zhang Z; School of Medicine, Southeast University, Nanjing, China.; Li N

Subjects: Spinal Cord Injuries*/Spinal Cord Injuries*/Spinal Cord Injuries*/diagnostic imaging ; Deep Learning*; Humans

Source: Scientific reports [Sci Rep] 2025 Mar 17; Vol. 15 (1), pp. 9163. Date of Electronic Publication: 2025 Mar 17.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Radiomics in thymic epithelial tumors: a scoping review of current status and advances.

Authors : Wang X; Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.; Huang P

Subjects: Thymus Neoplasms*/Thymus Neoplasms*/Thymus Neoplasms*/diagnostic imaging ; Thymus Neoplasms*/Thymus Neoplasms*/Thymus Neoplasms*/pathology ; Neoplasms, Glandular and Epithelial*/Neoplasms, Glandular and Epithelial*/Neoplasms, Glandular and Epithelial*/diagnostic imaging Thymic epithelial tumor

Source: BMC cancer [BMC Cancer] 2025 Mar 17; Vol. 25 (1), pp. 493. Date of Electronic Publication: 2025 Mar 17.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

Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients.

Authors : Cao P; Department of Radiation Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China.; Jia X

Subjects: Deep Learning* ; Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/secondary ; Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/genetics

Source: BMC cancer [BMC Cancer] 2025 Mar 12; Vol. 25 (1), pp. 443. Date of Electronic Publication: 2025 Mar 12.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407

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نتائج البحث

فلترة النتائج

Predicting postoperative recurrence and survival in glioma patients using enhanced MRI-based delta habitat radiomics: an 8-year retrospective pilot study.

Hippocampal functional imaging-derived radiomics features for diagnosing cognitively impaired patients with Parkinson's disease.

Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning.

Machine learning-based radiomics using MRI to differentiate early-stage Duchenne and Becker muscular dystrophy in children.

Early prediction of progression-free survival of patients with locally advanced nasopharyngeal carcinoma using multi-parametric MRI radiomics.

Prediction of pathological complete response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer using 18 F-FDG PET radiomics features of primary tumour and lymph nodes.

Intratumoral microbiota-aided fusion radiomics model for predicting tumor response to neoadjuvant chemoimmunotherapy in triple-negative breast cancer.

Establishment and validation of a ResNet-based radiomics model for predicting prognosis in cervical spinal cord injury patients.

Radiomics in thymic epithelial tumors: a scoping review of current status and advances.

Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients.

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