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For: Bourgioti C, Chatoupis K, Moulopoulos LA. Current imaging strategies for the evaluation of uterine cervical cancer. World J Radiol 2016; 8(4): 342-354 [PMID: 27158421 DOI: 10.4329/wjr.v8.i4.342]
URL: https://www.wjgnet.com/1949-8470/full/v8/i4/342.htm
Number Citing Articles
1
Mayumi Takeuchi, Kenji Matsuzaki, Yoshimi Bando, Masafumi Harada. Reduced field-of-view diffusion-weighted MR imaging for assessing the local extent of uterine cervical cancerActa Radiologica 2020; 61(2): 267 doi: 10.1177/0284185119852733
2
Charis I. Bourgioti. Imaging in Clinical Oncology2018; : 321 doi: 10.1007/978-3-319-68873-2_42
3
Fatama Tous Zohora, Nibedita Paul, Shahin Mahmud, S. M. Neaz Mahmud, Abu Zaffar Shibly. Awareness about Early Detection Methods, Symptoms and Risk Factors towards Breast and Cervical Cancer among the Female Students of Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, BangladeshAdvances in Breast Cancer Research 2017; 6(02): 49 doi: 10.4236/abcr.2017.62005
4
Francesca Arezzo, Gennaro Cormio, Michele Mongelli, Gerardo Cazzato, Erica Silvestris, Anila Kardhashi, Ambrogio Cazzolla, Claudio Lombardi, Vincenzo Venerito, Vera Loizzi. Machine learning applied to MRI evaluation for the detection of lymph node metastasis in patients with locally advanced cervical cancer treated with neoadjuvant chemotherapyArchives of Gynecology and Obstetrics 2022; 307(6): 1911 doi: 10.1007/s00404-022-06824-6
5
Mohammed Saleh, Mayur Virarkar, Sanaz Javadi, Sherif B. Elsherif, Silvana de Castro Faria, Priya Bhosale. Cervical Cancer: 2018 Revised International Federation of Gynecology and Obstetrics Staging System and the Role of ImagingAmerican Journal of Roentgenology 2020; 214(5): 1182 doi: 10.2214/AJR.19.21819
6
Ekta Dhamija, Malvika Gulati, Smita Manchanda, Seema Singhal, Dayanand Sharma, Sunesh Kumar, Neerja Bhatla. Imaging in Carcinoma Cervix and Revised 2018 FIGO Staging System: Implications in Radiology ReportingIndian Journal of Radiology and Imaging 2021; 31(03): 623 doi: 10.1055/s-0041-1735502
7
Rathod Srikanth, Swarnava Tarafdar, Adithan Subathra, Krishnan Nagarajan, Dasari Papa. Diffusion-Weighted MR Imaging Can Differentiate Benign and Malignant Uterine MassesIndian Journal of Gynecologic Oncology 2020; 18(2) doi: 10.1007/s40944-020-00383-x
8
Cynae A. Johnson, Deepthi James, Amelita Marzan, Mona Armaos. Cervical Cancer: An Overview of Pathophysiology and ManagementSeminars in Oncology Nursing 2019; 35(2): 166 doi: 10.1016/j.soncn.2019.02.003
9
Francesca Arezzo, Daniele La Forgia, Vincenzo Venerito, Marco Moschetta, Alberto Stefano Tagliafico, Claudio Lombardi, Vera Loizzi, Ettore Cicinelli, Gennaro Cormio. A Machine Learning Tool to Predict the Response to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical CancerApplied Sciences 2021; 11(2): 823 doi: 10.3390/app11020823
10
Liyuan Chen, Chenyang Shen, Zhiguo Zhou, Genevieve Maquilan, Kevin Albuquerque, Michael R Folkert, Jing Wang. Automatic PET cervical tumor segmentation by combining deep learning and anatomic priorPhysics in Medicine & Biology 2019; 64(8): 085019 doi: 10.1088/1361-6560/ab0b64
11
Charis Bourgioti, Marianna Konidari, Lia Angela Moulopoulos. Imaging of Gynecologic Malignancy in a Reproductive Age FemaleRadiologic Clinics of North America 2020; 58(2): 413 doi: 10.1016/j.rcl.2019.10.008
12
Jinling Yi, Xiyao Lei, Lei Zhang, Qiao Zheng, Juebin Jin, Congying Xie, Xiance Jin, Yao Ai. The Influence of Different Ultrasonic Machines on Radiomics Models in Prediction Lymph Node Metastasis for Patients with Cervical CancerTechnology in Cancer Research & Treatment 2022; 21 doi: 10.1177/15330338221118412
13
Meiling Xiao, Fenghua Ma, Ying Li, Yongai Li, Mengdie Li, Guofu Zhang, Jinwei Qiang. Multiparametric MRI‐Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early‐Stage Cervical CancerJournal of Magnetic Resonance Imaging 2020; 52(3): 885 doi: 10.1002/jmri.27101
14
Yuanqiang Xiao, Wenying Chen, Xi Long, Mengsi Li, Lina Zhang, Chang Liu, Ying Deng, Chao Li, Bingjun He, Jun Chen, Jin Wang. 3D MR elastography-based stiffness as a marker for predicting tumor grade and subtype in cervical cancerMagnetic Resonance Imaging 2024; 109: 173 doi: 10.1016/j.mri.2024.03.006
15
Janardhana Ponnatapura, Neeraj Lalwani. Magnetic Resonance Imaging of the Pelvis2023; : 319 doi: 10.1016/B978-0-323-89854-6.00004-1
16
Weon Jang, Ji Soo Song. Uterine Cervical Cancer: Emphasis on Revised FIGO Staging 2018 and MRIJournal of the Korean Society of Radiology 2021; 82(5): 1083 doi: 10.3348/jksr.2021.0113
17
Judit A. Adam, Hester Arkies, Karel Hinnen, Lukas J. Stalpers, Jan H. van Waesberghe, Jaap Stoker, Rob van Os, Janna J. Laan, Constantijne H. Mom, Berthe L. van Eck-Smit. 18F-FDG-PET/CT guided external beam radiotherapy volumes in inoperable uterine cervical cancerThe Quarterly Journal of Nuclear Medicine and Molecular Imaging 2018; 62(4) doi: 10.23736/S1824-4785.18.03083-2
18
Palwasha Gul, Khanda Gul, Muhammad Omer Altaf, Ainy Javaid, Javeria Ashraf. The Accuracy of MRI in the Local Staging of Endometrial Cancer: An Experience From a Tertiary Care Oncology Institute in PakistanCureus 2022;  doi: 10.7759/cureus.31053
19
Weiliang Qian, Qian Chen, Zhongshuai Zhang, Hong Wang, Jibin Zhang, Jianming XU. Comparison between readout-segmented and single-shot echo-planar imaging in the evaluation of cervical cancer stagingThe British Journal of Radiology 2019; 92(1094): 20180293 doi: 10.1259/bjr.20180293
20
Peter Widschwendter, Arkadius Polasik, Wolfgang Janni, Amelie de Gregorio, Thomas W.P. Friedl, Nikolaus de Gregorio. Lymph Node Ratio Can Better Predict Prognosis than Absolute Number of Positive Lymph Nodes in Operable Cervical CarcinomaOncology Research and Treatment 2020; 43(3): 87 doi: 10.1159/000505032
21
Maryam Basij, Andrei Karpiouk, Ira Winer, Stanislav Emelianov, Mohammad Mehrmohammadi. Dual-Illumination Ultrasound/Photoacoustic Endoscopic System2020 IEEE International Ultrasonics Symposium (IUS) 2020; : 1 doi: 10.1109/IUS46767.2020.9251484
22
Ichrak Khoulqi, Najlae Idrissi. Innovations in Smart Cities Applications Volume 5Lecture Notes in Networks and Systems 2022; 393: 1001 doi: 10.1007/978-3-030-94191-8_81
23
Nermeen N. Keriakos, Eman Darwish. Diffusion weighted imaging in suspicious uterine tumors; how efficient is it?The Egyptian Journal of Radiology and Nuclear Medicine 2018; 49(3): 838 doi: 10.1016/j.ejrnm.2018.04.003
24
Emel Canaz, Eser Sefik Ozyurek, Baki Erdem, Merve Aldikactioglu Talmac, Ipek Yildiz Ozaydin, Ozgur Akbayir, Ceyhun Numanoglu, Volkan Ulker. Preoperatively Assessable Clinical and Pathological Risk Factors for Parametrial Involvement in Surgically Treated FIGO Stage IB–IIA Cervical CancerInternational Journal of Gynecological Cancer 2017; 27(8): 1722 doi: 10.1097/IGC.0000000000001060
25
Setareh Akhavan, Azamsadat Mousavi, Shahrzad Sheikh Hassani, Narges Zamani, Elahe Rezayof, Zohreh TorabiNejad. Evaluation of Cervical Cancer Staging Based on Magnetic Resonance Imaging in Comparison with Surgical StagingInternational Journal of Cancer Management 2023; 16(1) doi: 10.5812/ijcm-126966
26
Fatemeh Tavakoli, Sara Sadat Khatami, Fatemeh Momeni, Javid Azadbakht, Faezeh Ghasemi. Cervical Cancer Diagnosis: Insights into Biochemical Biomarkers and Imaging TechniquesCombinatorial Chemistry & High Throughput Screening 2021; 24(5): 605 doi: 10.2174/1386207323666200901101955
27
Leilei Fan, Liguo Ma, Rennan Ling, Xiaojing Guo, Haili Li, Degui Yang, Zhesi Lian. Clinical value of conventional magnetic resonance imaging combined with diffusion-weighted imaging in predicting pelvic lymph node metastasis of cervical cancerFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1267598
28
Megan Swanson, Stefanie Ueda, Lee-may Chen, Megan J. Huchko, Carol Nakisige, Jane Namugga. Evidence-based improvisation: Facing the challenges of cervical cancer care in UgandaGynecologic Oncology Reports 2018; 24: 30 doi: 10.1016/j.gore.2017.12.005
29
Jasenko Krdzalic, Michelle Versleijen, Monique Maas. Imaging and Interventional Radiology for Radiation OncologyMedical Radiology 2020; : 275 doi: 10.1007/978-3-030-38261-2_17
30
Taemee Pak, Elizabeth A. Sadowski, Krupa Patel-Lippmann. MR Imaging in Cervical CancerRadiologic Clinics of North America 2023; 61(4): 639 doi: 10.1016/j.rcl.2023.02.009
31
Xiaomiao Zhang, Qi Zhang, Jinxia Guo, Jingwei Zhao, Lizhi Xie, Jieying Zhang, Jusheng An, Xiaoduo Yu, Xinming Zhao. Added-value of texture analysis of ADC in predicting the survival of patients with 2018 FIGO stage IIICr cervical cancer treated by concurrent chemoradiotherapyEuropean Journal of Radiology 2022; 150: 110272 doi: 10.1016/j.ejrad.2022.110272
32
V. Yu. Pletneva, A. L. Pylev, A. L. Maslov. Imaging of Uterine Cervical Cancer: a Modern View (Literature Review)Medical Visualization 2017; (2): 120 doi: 10.24835/1607-0763-2017-2-120-130
33
Peter Hass, Holm Eggemann, Serban Dan Costa, Atanas Ignatov. Adjuvant hysterectomy after radiochemotherapy for locally advanced cervical cancerStrahlentherapie und Onkologie 2017; 193(12): 1048 doi: 10.1007/s00066-017-1174-1
34
Xiance Jin, Yao Ai, Ji Zhang, Haiyan Zhu, Juebin Jin, Yinyan Teng, Bin Chen, Congying Xie. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound imagesEuropean Radiology 2020; 30(7): 4117 doi: 10.1007/s00330-020-06692-1
35
Mansur A. Ghani, Joy Liau, Ramez Eskander, Loren Mell, Tahir Yusufaly, Sebastian Obrzut. Imaging Biomarkers and Liquid Biopsy in Assessment of Cervical CancerJournal of Computer Assisted Tomography 2022; 46(5): 707 doi: 10.1097/RCT.0000000000001358
36
Yangyang Kan, Di Dong, Yuchen Zhang, Wenyan Jiang, Nannan Zhao, Lu Han, Mengjie Fang, Yali Zang, Chaoen Hu, Jie Tian, Chunming Li, Yahong Luo. Radiomic signature as a predictive factor for lymph node metastasis in early‐stage cervical cancerJournal of Magnetic Resonance Imaging 2019; 49(1): 304 doi: 10.1002/jmri.26209
37
Nuernisha Alifu, Rong Ma, Lijun Zhu, Zhong Du, Shuang Chen, Ting Yan, Gulinigaer Alimu, Linxue Zhang, Xueliang Zhang. A novel TMTP1-modified theranostic nanoplatform for targeted in vivo NIR-II fluorescence imaging-guided chemotherapy for cervical cancerJournal of Materials Chemistry B 2022; 10(4): 506 doi: 10.1039/D1TB02481G
38
Massimo E. Maffei. Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and TheranosticsInternational Journal of Molecular Sciences 2022; 23(3): 1339 doi: 10.3390/ijms23031339
39
Anan Bseiso, Muhammad Saqib, Muhammad Sherdil Saigol, Aribah Rehman, Almatou Sare, Ahmed Elmustafa Yagoub, Hassan Mumtaz. Patient survival prediction in locally advanced cervical squamous cell carcinoma using MRI-based radiomics: retrospective cohort studyAnnals of Medicine & Surgery 2023; 85(11): 5328 doi: 10.1097/MS9.0000000000001288
40
Bahar Mansoori, Gaurav Khatri, Glorimar Rivera-Colón, Kevin Albuquerque, Jayanthi Lea, Daniella F. Pinho. Multimodality Imaging of Uterine Cervical MalignanciesAmerican Journal of Roentgenology 2020; 215(2): 292 doi: 10.2214/AJR.19.21941
41
Abel Cordoba, Benedicte Durand, Alexandre Escande, Sophie Taieb, Mariem Ben Haj Amor, Marie Cecile Le Deley, Andree Michel, Florence Le Tinier, Delphine Hudry, Carlos Martinez, Eric Leblanc, Stephanie Becourt, Cyril Abdedaim, Lucie Bresson, Eric Lartigau, Xavier Mirabel, Fabrice Narducci. Prognostic impact of tumor size reduction assessed by magnetic resonance imaging after radiochemotherapy in patients with locally advanced cervical cancerFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.1046087
42
Ziad Tarcha, Katerina S. Konstantinoff, Semra Ince, Tyler J. Fraum, Elizabeth A. Sadowski, Priya R. Bhosale, Paul-Robert Derenoncourt, Maria Zulfiqar, Anup S. Shetty, Maria R. Ponisio, Joyce C. Mhlanga, Malak Itani. Added Value of FDG PET/MRI in Gynecologic Oncology: A Pictorial ReviewRadioGraphics 2023; 43(8) doi: 10.1148/rg.230006
43
Alina Nazir, Robert Matthews, Annapurneswara Chimpiri, Melissa Henretta, Joyce Varughese, Dinko Franceschi. Fluorodeoxyglucose positron-emission tomography-magnetic resonance hybrid imaging: An emerging tool for staging of cancer of the uterine cervixWorld Journal of Nuclear Medicine 2021; 20(02): 150 doi: 10.4103/wjnm.WJNM_53_20
44
N. Faye, A. Coulon, F. Beurrier, L. Fournier. FIGO et cancer du col : l’énigme des paramètresJournal de Radiologie Diagnostique et Interventionnelle 2017; 98(1-2): 71 doi: 10.1016/j.jradio.2017.01.006
45
Ya-fei Qi, Yong-lan He, Cheng-yu Lin, Xiao-qi Wang, Hai-long Zhou, Ling Yuan, Yuan Li, Yang Xiang, Hua-dan Xue, Zheng-yu Jin. Diffusion-weighted imaging of cervical cancer: Feasibility of ultra-high b-value at 3TEuropean Journal of Radiology 2020; 124: 108779 doi: 10.1016/j.ejrad.2019.108779
46
Tiffany Zigras, Genevieve Lennox, Karla Willows, Allan Covens. Early Cervical Cancer: Current Dilemmas of Staging and SurgeryCurrent Oncology Reports 2017; 19(8) doi: 10.1007/s11912-017-0614-5
47
Lorraine Portelance, Ina Jürgenliemk-Schulz, Kyle R. Padgett, Rosa Patricia Castillo, Astrid van Lier. A Practical Guide to MR-Linac2024; : 323 doi: 10.1007/978-3-031-48165-9_18
48
Olivera Nikolic, Marijana Basta Nikolic, Aleksandar Spasic, Mila Milagros Otero-Garcia, Sanja Stojanovic. Systematic radiological approach to utero-ovarian pathologiesThe British Journal of Radiology 2019; 92(1099): 20180439 doi: 10.1259/bjr.20180439
49
Longchao Li, Jing Zhang, Xia Zhe, Min Tang, Xiaoling Zhang, Xiaoyan Lei, Li Zhang. A meta-analysis of MRI-based radiomic features for predicting lymph node metastasis in patients with cervical cancerEuropean Journal of Radiology 2022; 151: 110243 doi: 10.1016/j.ejrad.2022.110243
50
Preetiparna Parida, Gayathri Baburaj, Mahadev Rao, Shirley Lewis, Rama Rao Damerla. Circulating cell-free DNA as a diagnostic and prognostic marker for cervical cancerInternational Journal of Gynecologic Cancer 2024; 34(2): 307 doi: 10.1136/ijgc-2023-004873
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María Milagros Otero-García, Alicia Mesa-Álvarez, Olivera Nikolic, Patricia Blanco-Lobato, Marijana Basta-Nikolic, Rafael Menéndez de Llano-Ortega, Laura Paredes-Velázquez, Nikola Nikolic, Magda Szewczyk-Bieda. Role of MRI in staging and follow-up of endometrial and cervical cancer: pitfalls and mimickersInsights into Imaging 2019; 10(1) doi: 10.1186/s13244-019-0696-8
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Yasuyuki Hirashima, Munetaka Takekuma, Nobutaka Takahashi, Masakazu Abe, Nobuhiro Kado, Yuka Kasamatsu, Ayako Mochizuki, Emi Yoshioka. Surgery for Gynecologic CancerComprehensive Gynecology and Obstetrics 2019; : 73 doi: 10.1007/978-981-13-1519-0_6
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A. S. Petrova, O. A. Smirnova, A. V. Mishchenko, I. V. Berlev, E. A. Ulrich, H. B. Mkrtchyan, A. B. Kosichkina, A. O. Nyuganen. Magnetic-resonance imaging as a basis for a modern approach in diagnostics and treatment evaluation of cervical cancer (literature review)Medical Visualization 2019; (3): 82 doi: 10.24835/1607-0763-2019-3-82-106
54
Dingrong Yi, Linghua Kong, Jingfang Xie, Caihong Huang. Online Crack Detection of Highly Curved Cylindrical CoilsIEEE Transactions on Industrial Informatics 2024; 20(1): 703 doi: 10.1109/TII.2023.3270670
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Jean-Emmanuel Kurtz, Véronique D’Hondt, Fabrice Lécuru, Catherine Lhommé. Prise en charge du cancer du col de l’utérus métastatique et/ou en rechuteBulletin du Cancer 2017; 104: S39 doi: 10.1016/S0007-4551(17)30161-3
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Zhuo Zhang, Dajiang He, Ying Song, Zhihan Yan, Xue Wang, Jinbo Shao, Zujun Hou. Exploring the Inter-voxel Information in Pharmacokinetic Maps for Cervical Carcinoma Prediction2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2020; : 1477 doi: 10.1109/EMBC44109.2020.9176233
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Adela Poitevin Chacón, Jessica Chavez-Nogueda, Rubí Ramos-Prudencio, Michelle Aline Villavicencio-Queijeiro, Francisco Lozano-Ruiz. The role of para-aortic nodal irradiation in cervical cancerReports of Practical Oncology & Radiotherapy 2018; 23(6): 540 doi: 10.1016/j.rpor.2018.09.009
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Pamela Schaffer, Ron Batash, Birgit Ertl-Wagner, Alfons Hofstetter, Noam Asna, Moshe Schaffer. Treatment of cervix carcinoma FIGO IIIb with Photofrin II as a radiosensitizer: a case reportPhotochemical & Photobiological Sciences 2019; 18(5): 1275 doi: 10.1039/c8pp00576a
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Foram B. Gala, Kunal B. Gala, Bharat M. Gala. Magnetic Resonance Imaging of Uterine Cervix: A Pictorial EssayIndian Journal of Radiology and Imaging 2021; 31(02): 454 doi: 10.1055/s-0041-1734377
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N. A. Rubtsova, T. P. Berezovskaia, V. G. Bychenko, E. A. Pavlovskaya, A. E. Solopova, T. A. Agababyan, M. M. Khodzhibekova, D. V. Ryzhkova, M. A. Chekalova, I. E. Meshkova, V. E. Gazhonova, A. I. Gus, S. S. Bagnenko, B. M. Medvedeva, L. A. Ashrafyan, E. G. Novikova, I. V. Berlev, L. V. Demidova, L. I. Krikunova, L. A. Kolomiets. Imaging of cervical cancer. Consensus of expertsMedical Visualization 2023; 28(1): 141 doi: 10.24835/1607-0763-1341
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Jue Liu, Ming Zhu, Xue Xia, Yuliang Huang, Qunfeng Zhang, Xiaoxu Wang. Jumonji domain-containing protein 1A promotes cell growth and progression via transactivation of c-Myc expression and predicts a poor prognosis in cervical cancerOncotarget 2016; 7(51): 85151 doi: 10.18632/oncotarget.13208
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Sherelle L. Laifer-Narin, Wendy F. Genestine, Nancy C. Okechukwu, Elizabeth M. Hecht, Jeffrey H. Newhouse. The Role of Computed Tomography and Magnetic Resonance Imaging in Gynecologic OncologyPET Clinics 2018; 13(2): 127 doi: 10.1016/j.cpet.2017.11.002
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Michael Thompson, Soha Ahmadi, Katharina Davoudian, Brian De La Franier, Navina Lotay, Marcus Q. Bernardini. Sensor detection in gynaecological medicineSensors & Diagnostics 2022; 1(5): 877 doi: 10.1039/D2SD00090C
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Ya He, Jing‐ping Yang, Wei Liu, Xiang‐xiang Shi, Hong‐cheng Yue, Jian‐wen Zhang. Investigation of fusion dose distribution for locally advanced cervical cancer under different bladder statuses for intensity‐modulated radiotherapy combined with intracavitary brachytherapyPrecision Radiation Oncology 2017; 1(2): 70 doi: 10.1002/pro6.15
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Archana Prathipati, Swapna Jilla, B. V. Subramanian, Ravi krishna Madala. Impact of Various Prognostic Factors on Overall Survival, Disease-Free Survival and Patterns of Failure in Carcinoma Cervix: A Tertiary Care Centre Experience from South IndiaIndian Journal of Gynecologic Oncology 2018; 16(1) doi: 10.1007/s40944-018-0179-8
66
Alta Y. T. Lai, Jose A. U. Perucho, Xiaopei Xu, Edward S. Hui, Elaine Y. P. Lee. Concordance of FDG PET/CT metabolic tumour volume versus DW-MRI functional tumour volume with T2-weighted anatomical tumour volume in cervical cancerBMC Cancer 2017; 17(1) doi: 10.1186/s12885-017-3800-9
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Margaret M. Kozak, Julie L. Koenig, Rie von Eyben, Elizabeth A. Kidd. Less Than Whole Uterus Irradiation for Locally Advanced Cervical Cancer Maintains Locoregional Control and Decreases Radiation Dose to BowelPractical Radiation Oncology 2019; 9(2): e164 doi: 10.1016/j.prro.2018.10.009
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Lidiya Thampi, Amel Antony. Machine Learning, Image Processing, Network Security and Data SciencesCommunications in Computer and Information Science 2022; 1763: 255 doi: 10.1007/978-3-031-24367-7_26
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Chae Moon Hong, Shin-Hyung Park, Gun Oh Chong, Yoon Hee Lee, Ju Hye Jeong, Sang-Woo Lee, Jaetae Lee, Byeong-Cheol Ahn, Shin Young Jeong. Enhancing prognosis prediction using pre-treatment nodal SUVmax and HPV status in cervical squamous cell carcinomaCancer Imaging 2019; 19(1) doi: 10.1186/s40644-019-0226-4
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Sebastiano Barbieri, Kirsi H. Härmä, Harriet C. Thoeny. MRI and CT of the Female PelvisMedical Radiology 2017; : 369 doi: 10.1007/174_2017_64
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Parveen Gulati, Ankita Agarwal, Vaibhav Gulati. Cervical Malignancies: Status of MRIIndian Journal of Gynecologic Oncology 2020; 18(3) doi: 10.1007/s40944-020-00437-0
72
Liana Mkrtchian, Irina Zamulaeva, Liudmila Krikunova, Valentina Kiseleva, Olga Matchuk, Liubov Liubina, Gunel Kulieva, Sergey Ivanov, Andrey Kaprin. HPV Status and Individual Characteristics of Human Papillomavirus Infection as Predictors for Clinical Outcome of Locally Advanced Cervical CancerJournal of Personalized Medicine 2021; 11(6): 479 doi: 10.3390/jpm11060479
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S. Allison Staley, Katherine R. Tucker, Paola A. Gehrig, Leslie H. Clark. Accuracy of preoperative cross-sectional imaging in cervical cancer patients undergoing primary radical surgeryGynecologic Oncology 2021; 160(2): 384 doi: 10.1016/j.ygyno.2020.11.001