Literature DB >> 34233493

Primary clinical study of radiomics for diagnosing simple bone cyst of the jaw.

Zhe-Yi Jiang1,2, Tian-Jun Lan1,2, Wei-Xin Cai1,2, Qian Tao1,2.   

Abstract

OBJECTIVE: To screen the radiomic features of simple bone cysts of the jaws and explore the potential application of radiomics in pre-operative diagnosis of jaw simple bone cysts.
METHODS: The investigators designed and implemented a case-control study. 19 patients with simple bone cysts who were admitted to the Department of Maxillofacial Surgery, Sun Yat-sen University Affiliated Stomatology Hospital from 2013 to 2019 were included in this study. Their clinical data and cone-beam computed tomography (CBCT) images were examined. The control group consisted of patients with odontogenic keratocyst. CBCT imaging features were analyzed and compared between the patient and control groups.
RESULTS: Overall, 10,323 image features were extracted through feature analysis. A subset of 25 radiomic features obtained after feature selection were analyzed further. These 25 features were significantly different between the 2 groups (p < 0.05). The absolute value of correlation coefficient was 0.487-0.775. Gray-level co-occurrence matrix (GLCM) contrast, neighborhood gray tone difference matrix (NGTDM) contrast, and GLCM variance were the features with the highest correlation coefficients.
CONCLUSIONS: Pre-operative radiomics analysis showed the differences between simple bone cysts and odontogenic keratocysts, can help to diagnose simple bone cysts. Three specific texture features-GLCM contrast, NGTDM contrast, and GLCM variance-may be the characteristic imaging features of simple bone cysts of the jaw.

Entities:  

Keywords:  Cone-beam computed tomography; Diagnosis; Odontogenic keratocyst; Radiomics; Simple bone cyst

Mesh:

Year:  2021        PMID: 34233493      PMCID: PMC8474131          DOI: 10.1259/dmfr.20200384

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   3.525


  21 in total

1.  Simple bone cyst versus odontogenic keratocyst: differential diagnosis by digitized panoramic radiography.

Authors:  O Ferreira Júnior; J H Damante; J R P Lauris
Journal:  Dentomaxillofac Radiol       Date:  2004-11       Impact factor: 2.419

Review 2.  Texture analysis of medical images.

Authors:  G Castellano; L Bonilha; L M Li; F Cendes
Journal:  Clin Radiol       Date:  2004-12       Impact factor: 2.350

Review 3.  Solitary bone cyst of the jaws: a review of the etiopathogenic hypotheses.

Authors:  Jean-Claude Harnet; Tommaso Lombardi; Pierre Klewansky; Jean Rieger; Marie-Hélène Tempe; Jean-Michel Clavert
Journal:  J Oral Maxillofac Surg       Date:  2008-11       Impact factor: 1.895

Review 4.  Towards precision medicine: from quantitative imaging to radiomics.

Authors:  U Rajendra Acharya; Yuki Hagiwara; Vidya K Sudarshan; Wai Yee Chan; Kwan Hoong Ng
Journal:  J Zhejiang Univ Sci B       Date:  2018 Jan.       Impact factor: 3.066

5.  Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.

Authors:  Paras Lakhani; Baskaran Sundaram
Journal:  Radiology       Date:  2017-04-24       Impact factor: 11.105

Review 6.  Atypical presentations of simple bone cysts of the mandible: a case series and review of literature.

Authors:  José Ribamar Sabino-Bezerra; Alan Roger Santos-Silva; Jacks Jorge; Adriele Ferreira Gouvêa; Márcio Ajudarte Lopes
Journal:  J Craniomaxillofac Surg       Date:  2012-12-06       Impact factor: 2.078

7.  A Management Strategy for Idiopathic Bone Cavities of the Jaws.

Authors:  Cory M Resnick; Kelley M Dentino; Ricardo Garza; Bonnie L Padwa
Journal:  J Oral Maxillofac Surg       Date:  2016-01-07       Impact factor: 1.895

8.  Exploration and validation of radiomics signature as an independent prognostic biomarker in stage III-IVb nasopharyngeal carcinoma.

Authors:  Fu-Sheng Ouyang; Bao-Liang Guo; Bin Zhang; Yu-Hao Dong; Lu Zhang; Xiao-Kai Mo; Wen-Hui Huang; Shui-Xing Zhang; Qiu-Gen Hu
Journal:  Oncotarget       Date:  2017-08-24

9.  Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology.

Authors:  Weimiao Wu; Chintan Parmar; Patrick Grossmann; John Quackenbush; Philippe Lambin; Johan Bussink; Raymond Mak; Hugo J W L Aerts
Journal:  Front Oncol       Date:  2016-03-30       Impact factor: 6.244

10.  Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm.

Authors:  Jae-Hong Lee; Do-Hyung Kim; Seong-Nyum Jeong; Seong-Ho Choi
Journal:  J Periodontal Implant Sci       Date:  2018-04-30       Impact factor: 2.614

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  1 in total

1.  Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning.

Authors:  Balazs Feher; Ulrike Kuchler; Falk Schwendicke; Lisa Schneider; Jose Eduardo Cejudo Grano de Oro; Tong Xi; Shankeeth Vinayahalingam; Tzu-Ming Harry Hsu; Janet Brinz; Akhilanand Chaurasia; Kunaal Dhingra; Robert Andre Gaudin; Hossein Mohammad-Rahimi; Nielsen Pereira; Francesc Perez-Pastor; Olga Tryfonos; Sergio E Uribe; Marcel Hanisch; Joachim Krois
Journal:  Diagnostics (Basel)       Date:  2022-08-14
  1 in total

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