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MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer.
- Published in:
- European Radiology, 2022, v. 32, n. 2, p. 971, doi. 10.1007/s00330-021-08144-w
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- Publication type:
- Article
Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis.
- Published in:
- 2017
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- Publication type:
- journal article
Second-Opinion Interpretations of Gynecologic Oncologic MRI Examinations by Sub-Specialized Radiologists Influence Patient Care.
- Published in:
- 2016
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- Publication type:
- journal article
Can 18 F-FDG PET/CT Radiomics Features Predict Clinical Outcomes in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma?
- Published in:
- Cancers, 2022, v. 14, n. 12, p. 3035, doi. 10.3390/cancers14123035
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- Publication type:
- Article
Reproducibility and Repeatability of Semiquantitative 18F-Fluorodihydrotestosterone Uptake Metrics in Castration-Resistant Prostate Cancer Metastases: A Prospective Multicenter Study.
- Published in:
- Journal of Nuclear Medicine, 2018, v. 59, n. 10, p. 1516, doi. 10.2967/jnumed.117.206490
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- Publication type:
- Article
Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.
- Published in:
- Abdominal Radiology, 2022, v. 47, n. 8, p. 2770, doi. 10.1007/s00261-022-03572-8
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- Publication type:
- Article