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Cited by in CrossRef
For: Misiakos EP, Margari N, Meristoudis C, Machairas N, Schizas D, Petropoulos K, Spathis A, Karakitsos P, Machairas A. Cytopathologic diagnosis of fine needle aspiration biopsies of thyroid nodules. World J Clin Cases 2016; 4(2): 38-48 [PMID: 26881190 DOI: 10.12998/wjcc.v4.i2.38]
URL: https://www.wjgnet.com/2307-8960/full/v4/i2/38.htm
Number Citing Articles
1
Peter R. Jermain, Andrew H. Fischer, Lija Joseph, Alona Muzikansky, Anna N. Yaroslavsky. Fluorescence Polarization Imaging of Methylene Blue Facilitates Quantitative Detection of Thyroid Cancer in Single CellsCancers 2022; 14(5): 1339 doi: 10.3390/cancers14051339
2
Xiaowen Hou, Menglei Hua, Wei Zhang, Jianxin Ji, Xuan Zhang, Huiru Jiang, Mengyun Li, Xiaoxiao Wu, Wenwen Zhao, Shuxin Sun, Lei Cao, Liuying Wang. An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learningScientific Data 2024; 11(1) doi: 10.1038/s41597-024-04156-5
3
Lin-Kun Zhong, Xing-Yan Deng, Fei Shen, Wen-Song Cai, Jian-Hua Feng, Xiao-Xiong Gan, Shan Jiang, Chi-Zhuai Liu, Ming-Guang Zhang, Jiang-Wei Deng, Bing-Xing Zheng, Xiao-Zhang Xie, Li-Qing Ning, Hui Huang, Shan-Shan Chen, Jian-Hang Miao, Bo Xu. Identification of a 3-Gene Prognostic Index for Papillary Thyroid CarcinomaFrontiers in Molecular Biosciences 2022; 9 doi: 10.3389/fmolb.2022.807931
4
Ling-Rui Li, Bo Du, Han-Qing Liu, Chuang Chen. Artificial Intelligence for Personalized Medicine in Thyroid Cancer: Current Status and Future PerspectivesFrontiers in Oncology 2021; 10 doi: 10.3389/fonc.2020.604051
5
Krista Chain, Teklu Legesse, Jonathon E. Heath, Paul N. Staats. Digital image‐assisted quantitative nuclear analysis improves diagnostic accuracy of thyroid fine‐needle aspiration cytologyCancer Cytopathology 2019; 127(8): 501 doi: 10.1002/cncy.22120
6
Junbong Jang, Young H. Kim, Brian Westgate, Yang Zong, Caleb Hallinan, Ali Akalin, Kwonmoo Lee. Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifierScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-40652-1
7
Peter R. Jermain, Martin Oswald, Tenzin Langdun, Santana Wright, Ashraf Khan, Thilo Stadelmann, Ahmed Abdulkadir, Anna N. Yaroslavsky. Rapid Optical Cytology with Deep Learning-Based Cell Segmentation for Diagnosis of Thyroid LesionsOptica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN) 2024; : MTu4A.5 doi: 10.1364/MICROSCOPY.2024.MTu4A.5
8
Ling Zhou, Lin-lin Zheng, Chuan-ju Zhang, Hong-fen Wei, Li-long Xu, Mu-rui Zhang, Qiang Li, Gao-fei He, Edem Prince Ghamor-Amegavi, Shi-yan Li. Comparison of S-Detect and thyroid imaging reporting and data system classifications in the diagnosis of cytologically indeterminate thyroid nodulesFrontiers in Endocrinology 2023; 14 doi: 10.3389/fendo.2023.1098031
9
Mohammad Saeid Nikshoar, Mohammad Ali Khayamian, Saeid Ansaryan, Hassan Sanati, Milad Gharooni, Leila Farahmand, Farshad Rezakhanloo, Keivan Majidzadeh-A, Parisa Hoseinpour, Shahrzad Dadgari, Leila Kiani-M, Mohammad Saqafi, Masoumeh Gity, Mohammad Abdolahad. Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approachNature Communications 2017; 8(1) doi: 10.1038/s41467-017-02184-x
10
Leo Guidobaldi, Concetta Cafiero, Gerardo D’Amato, Marco Dell’Aquila, Pierpaolo Trimboli, Raffaele Palmirotta, Salvatore Pisconti. Primary Thyroid Lymphoma: How Molecular Biology and Ancillary Techniques Can Help the Cytopathologist Overcome This Diagnostic ChallengeJournal of Personalized Medicine 2023; 13(8): 1203 doi: 10.3390/jpm13081203
11
Bin Zhang, Jie Tian, Shufang Pei, Yubing Chen, Xin He, Yuhao Dong, Lu Zhang, Xiaokai Mo, Wenhui Huang, Shuzhen Cong, Shuixing Zhang. Machine Learning–Assisted System for Thyroid Nodule DiagnosisThyroid 2019; 29(6): 858 doi: 10.1089/thy.2018.0380
12
Thifhelimbilu Emmanuel Luvhengo, Ifongo Bombil, Arian Mokhtari, Maeyane Stephens Moeng, Demetra Demetriou, Claire Sanders, Zodwa Dlamini. Multi-Omics and Management of Follicular Carcinoma of the ThyroidBiomedicines 2023; 11(4): 1217 doi: 10.3390/biomedicines11041217
13
Huang Chen, Aiping Song, Ye Wang, Yifan He, Jie Tong, Jinxi Di, Chun Li, Zhongren Zhou, Xiaopin Cai, Dingrong Zhong, Jiping Da. BRAFV600E mutation test on fine‐needle aspiration specimens of thyroid nodules: Clinical correlations for 4600 patientsCancer Medicine 2022; 11(1): 40 doi: 10.1002/cam4.4419
14
Ashok Kumar, Vijay Kumar, Jai Prakash, Sabaretnam Mayilvaganan, Spandana Jagannath, Sanjeev Kumar Tripathi, Ashish Dubey, Ranjeet Singh Chauhan, Sandeep Kumar Singh. What an Endocrine Surgeon Should Know about Sample Collection and Tissue PreservationIndian Journal of Endocrine Surgery and Research 2024; 18(2): 53 doi: 10.5005/jp-journals-10088-11214
15
Shun-Yu Gao, Xiao-Yan Zhang, Wei Wei, Xiao-Ting Li, Yan-Ling Li, Min Xu, Ying-Shi Sun, Xiao-Peng Zhang. Identification of benign and malignant thyroid nodules by in vivo iodine concentration measurement using single-source dual energy CTMedicine 2016; 95(39): e4816 doi: 10.1097/MD.0000000000004816
16
Tetyana Maniuk, Ania Z. Kielar, Joseph P. O'Sullivan, Mohamed El-Khodary, Heather Lochnan, Bibianna Purgina, Michael J. Odell. Effect of Implementing Community of Practice Modified Thyroid Imaging Reporting and Data System on Reporting Adherence and Number of Thyroid BiopsiesAcademic Radiology 2018; 25(7): 915 doi: 10.1016/j.acra.2017.12.009
17
Tanupriya Agrawal, Liqiang Xi, Winnifred Navarro, Mark Raffeld, Snehal B. Patel, Mark J. Roth, Joanna Klubo‐Gwiezdzinska, Armando C. Filie. An effective approach for BRAF V600E mutation analysis of routine thyroid fine needle aspiratesCytopathology 2022; 33(3): 344 doi: 10.1111/cyt.13093
18
Muhammed Sedat Sakat, Recep Sade, Korhan Kilic, Mustafa Sıtkı Gözeler, Osman Pala, Gökhan Polat, Mecit Kantarcı. The Use of Dynamic Contrast-Enhanced Perfusion MRI in Differentiating Benign and Malignant Thyroid NodulesIndian Journal of Otolaryngology and Head & Neck Surgery 2019; 71(S1): 706 doi: 10.1007/s12070-018-1512-3
19
Chun Yao, Xiaofeng Chen, Zhiqi Yang, Ruibin Huang, Sheng Zhang, Yuting Liao, Xiangguang Chen, Zhuozhi Dai, Alessandro Galani. Gemstone Spectral CT Virtual Noncontrast Images and Iodine Maps for the Characterization of Thyroid Lesions and Distinguishing Thyroid Papillary Carcinoma from Nodular GoiterInternational Journal of Endocrinology 2023; 2023: 1 doi: 10.1155/2023/8220034
20
Hyunseo Cha, Ju Yeon Pyo, Soon Won Hong. The Usefulness of Immunocytochemistry of CD56 in Determining Malignancy from Indeterminate Thyroid Fine-Needle Aspiration CytologyJournal of Pathology and Translational Medicine 2018; 52(6): 404 doi: 10.4132/jptm.2018.09.20
21
Gamze Turk, Mustafa Ozdemir, Ruken Zeydan, Yekta Turk, Zeki Bilgin, Engin Zeydan. On the identification of thyroid nodules using semi‐supervised deep learningInternational Journal for Numerical Methods in Biomedical Engineering 2021; 37(3) doi: 10.1002/cnm.3433
22
Chirine S. Khaled, Ibrahim M. Khalifeh, Nina S. Shabb. Interpretive Errors in Fine-Needle Aspiration of Thyroid: A 13-Year Institutional Experience in LebanonActa Cytologica 2022; 66(1): 23 doi: 10.1159/000519075
23
Pinki Pandey, Alok Dixit, Anshul Sawhney, Megha Ralli, Vineet Chaturvedi, Savita Agarwal, Jitendra Pratap Singh, Shalini Gupta. A comparative study between conventional and the Bethesda System for Reporting Thyroid Cytology of 240 casesJournal of Cancer Research and Therapeutics 2022; 18(Suppl 2): S253 doi: 10.4103/jcrt.JCRT_447_20
24
Barbara Kocsis-Deák, Kristóf Árvai, Bernadett Balla, Bálint Tóbiás, Andrea Kohánka, Balázs Járay, János Horányi, János Podani, István Takács, Zsuzsanna Putz, János Kósa, Péter Lakatos. Targeted Mutational Profiling and a Powerful Risk Score as Additional Tools for the Diagnosis of Papillary Thyroid CancerPathology & Oncology Research 2020; 26(1): 101 doi: 10.1007/s12253-019-00772-4
25
Emrah AKAY, Nezahat ERDOĞAN, Engin ULUÇ. Diagnosis of Thyroid Carcinoma - Dynamic Magnetic Resonance Imaging as a Problem SolverEge Tıp Bilimleri Dergisi 2023; 6(1): 13 doi: 10.33713/egetbd.1209040
26
Peter R. Jermain, Martin Oswald, Tenzin Langdun, Santana Wright, Ashraf Khan, Thilo Stadelmann, Ahmed Abdulkadir, Anna N. Yaroslavsky. Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancerScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-64855-2