Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy-Reference-Cited by-同舟云学术

Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy

Published:2018-07-26 Issue:2 Volume:29 Page:556-565
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Lin Gigin,Yang Lan-Yan,Lin Yu-Chun,Huang Yu-Ting,Liu Feng-Yuan,Wang Chun-Chieh,Lu Hsin-Ying,Chiang Hsin-Ju,Chen Yu-Ruei,Wu Ren-Chin,Ng Koon-Kwan,Hong Ji-Hong,Yen Tzu-Chen,Lai Chyong-Huey

Funder

Chang Gung Medical Foundation (TW)

National Science Council

Chang Gung Medical Foundation

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/article/10.1007/s00330-018-5651-4/fulltext.html

Reference36 articles.

1. American Cancer Society: cancer facts and figures (2018) American Cancer Society. https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2018/cancer-facts-and-figures-2018.pdf . Accessed 27 June 2018

2. NCCN Clinical Practice Guidelines in Oncology: Cervical Cancer. National Comprehensive Cancer Network Web site. https://www.nccn.org/professionals/physician_gls/pdf/cervical.pdf . Accessed 27 June 2018

3. Sala E, Rockall AG, Freeman SJ, Mitchell DG, Reinhold C (2013) The added role of MR imaging in treatment stratification of patients with gynecologic malignancies: what the radiologist needs to know. Radiology 266:717–740

4. Wang CC, Lai CH, Huang HJ et al (2010) Clinical effect of human papillomavirus genotypes in patients with cervical cancer undergoing primary radiotherapy. Int J Radiat Oncol Biol Phys 78:1111-1120

5. Kuang F, Yan Z, Wang J, Rao Z (2014) The value of diffusion-weighted MRI to evaluate the response to radiochemotherapy for cervical cancer. Magn Reson Imaging 32:342–349

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development and validation of a 18F-FDG PET/CT radiomics nomogram for predicting progression free survival in locally advanced cervical cancer: a retrospective multicenter study;BMC Cancer;2024-01-30

2. Generalizable transfer learning of automated tumor segmentation from cervical cancers toward a universal model for uterine malignancies in diffusion-weighted MRI;Insights into Imaging;2023-01-24

3. The value of HPV genotypes combined with clinical indicators in the classification of cervical squamous cell carcinoma and adenocarcinoma;BMC Cancer;2022-07-15

4. Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges;Diagnostics;2021-10-22

5. Identification of a Six-Gene Signature for Predicting the Overall Survival of Cervical Cancer Patients;OncoTargets and Therapy;2021-02