PET / MRI in Cervical Cancer: Associations Between Imaging Biomarkers and Tumor Stage, Disease Progression, and Overall Survival-Reference-Cited by-同舟云学术

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PET / MRI in Cervical Cancer: Associations Between Imaging Biomarkers and Tumor Stage, Disease Progression, and Overall Survival

Published:2020-08-14 Issue:1 Volume:53 Page:305-318
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Shih I‐Lun¹²^ORCID,Yen Rouh‐Fang²³,Chen Chi‐An⁴⁵,Cheng Wen‐Fang⁴⁵,Chen Bang‐Bin¹²,Chang Yu‐Hsuan¹²,Cheng Mei‐Fang²³,Shih Tiffany Ting‐Fang¹²^ORCID

Affiliation:

1. Department of Medical Imaging National Taiwan University Hospital Taipei Taiwan

2. Department of Radiology, College of Medicine National Taiwan University Taipei Taiwan

3. Department of Nuclear Medicine National Taiwan University Hospital Taipei Taiwan

4. Department of Obstetrics and Gynecology National Taiwan University Hospital Taipei Taiwan

5. Department of Obstetrics and Gynecology, College of Medicine National Taiwan University Taipei Taiwan

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.27311

Reference35 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Cancer of the cervix uteri

3. Combined pre-treatment MRI and 18F-FDG PET/CT parameters as prognostic biomarkers in patients with cervical cancer

4. Measurement of SUVmax plus ADCmin of the primary tumour is a predictor of prognosis in patients with cervical cancer

5. Positron emission tomography scan for predicting clinical outcome of patients with recurrent cervical carcinoma following radiation therapy

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1. Machine learning-based radiomics for predicting outcomes in cervical cancer patients undergoing concurrent chemoradiotherapy;Computers in Biology and Medicine;2024-07

2. Precision Imaging in Cervical Cancer: A Comprehensive Approach to Diagnosis and Pre-treatment Evaluation;Clinical and Experimental Obstetrics & Gynecology;2024-06-19

3. 18F-FDG PET/CT semi-quantitative parameters combined with SCC-Ag in predicting lymph node metastasis in stage I-II cervical cancer;Frontiers in Oncology;2024-06-14

4. ACR Appropriateness Criteria® Pretreatment Evaluation and Follow-Up of Invasive Cancer of the Cervix: 2023 Update;Journal of the American College of Radiology;2024-06

5. Multi-machine Learning Model Based on Habitat Subregions for Outcome Prediction in Adenomyosis Treated by Uterine Artery Embolization;Academic Radiology;2024-06

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