Can MR Imaging Be Used to Predict Tumor Grade in Soft-Tissue Sarcoma?-Reference-Cited by-同舟云学术

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Can MR Imaging Be Used to Predict Tumor Grade in Soft-Tissue Sarcoma?

Published:2014-07 Issue:1 Volume:272 Page:192-201
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Zhao Fang,Ahlawat Shivani,Farahani Sahar J.,Weber Kristy L.,Montgomery Elizabeth A.,Carrino John A.,Fayad Laura M.

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.14131871

Reference30 articles.

1. A retrospective statistical analysis of high-grade soft tissue sarcomas

2. Analysis of prognostic factors in 1,041 patients with localized soft tissue sarcomas of the extremities.

3. Prognostic factors in soft tissue sarcomas: a study of 395 patients

4. Prognostic factors for patients with localized soft-tissue sarcoma treated with conservation surgery and radiation therapy

5. Prognostic factors in soft tissue sarcomas. A multivariate analysis of 109 cases

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1. A multimodal neural network with gradient blending improves predictions of survival and metastasis in sarcoma;npj Precision Oncology;2024-09-05

2. Inferring malignancy grade of soft tissue sarcomas from magnetic resonance imaging features: A systematic review;European Journal of Radiology;2024-08

3. Alveolar Soft Tissue Sarcoma: Correlation of MRI Features With Histological Grading and Patient Prognosis;Journal of Magnetic Resonance Imaging;2024-07-22

4. Parallel CNN‐Deep Learning Clinical‐Imaging Signature for Assessing Pathologic Grade and Prognosis of Soft Tissue Sarcoma Patients;Journal of Magnetic Resonance Imaging;2024-06-10

5. Integration of pre-treatment computational radiomics, deep radiomics, and transcriptomics enhances soft-tissue sarcoma patient prognosis;npj Precision Oncology;2024-06-07

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