Literature DB >> 26837670

Utilization of computer-aided detection system in diagnosing unilateral maxillary sinusitis on panoramic radiographs.

Yasufumi Ohashi1, Yoshiko Ariji1, Akitoshi Katsumata2, Hiroshi Fujita3, Miwa Nakayama1, Motoki Fukuda1, Michihito Nozawa1, Eiichiro Ariji1.   

Abstract

OBJECTIVES: It is unclear whether computer-aided detection (CAD) systems for panoramic radiography can help inexperienced dentists to diagnose maxillary sinusitis. The aim of this study was to clarify whether a CAD system for panoramic radiography can contribute to improved diagnostic performance for maxillary sinusitis by inexperienced dentists.
METHODS: The panoramic radiographs of 49 patients with maxillary sinusitis and 49 patients with healthy sinuses were evaluated in this study. The diagnostic performance of the CAD system was determined. 12 inexperienced dentists and 4 expert oral and maxillofacial radiologists observed the total of 98 panoramic radiographs and judged the presence or absence of maxillary sinusitis, under conditions with and without the support of the CAD system. The receiver operating characteristic curves of the two groups were compared.
RESULTS: The CAD system provided sensitivity of 77.6%, specificity of 69.4% and accuracy of 73.5%. The diagnostic performance of the inexperienced dentists increased with the support of the CAD system. When the inexperienced dentists diagnosed maxillary sinusitis with CAD support, the area under the curve (AUC) was significantly higher than that without CAD support. When the focus was only on panoramic radiographs in which CAD support led to a correct diagnosis, the AUC of the inexperienced dentists increased to an equivalent level to that of the experienced radiologists.
CONCLUSIONS: The CAD system supported the inexperienced dentists in diagnosing maxillary sinusitis on the panoramic radiographs. If the accuracy of the CAD system can be increased, the benefits of CAD support will be further enhanced.

Entities:  

Keywords:  computer-aided detection; maxillary sinusitis; panoramic radiography

Mesh:

Year:  2016        PMID: 26837670      PMCID: PMC4846153          DOI: 10.1259/dmfr.20150419

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  20 in total

1.  Contralateral subtraction: a novel technique for detection of asymmetric abnormalities on digital chest radiographs.

Authors:  Q Li; S Katsuragawa; T Ishida; H Yoshida; S Tsukuda; H MacMahon; K Doi
Journal:  Med Phys       Date:  2000-01       Impact factor: 4.071

2.  Etiology and clinical characteristics of symptomatic unilateral maxillary sinusitis: A review of 174 cases.

Authors:  Matthias Troeltzsch; Christoph Pache; Markus Troeltzsch; Gabriele Kaeppler; Michael Ehrenfeld; Sven Otto; Florian Probst
Journal:  J Craniomaxillofac Surg       Date:  2015-07-29       Impact factor: 2.078

3.  Radiographic image of the hard palate and nasal fossa floor in panoramic radiography.

Authors:  J H Damante; L I Filho; M A Silva
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  1998-04

4.  Limitations of panoramic radiography in the detection of bone defects in the posterior wall of the maxillary sinus: an experimental study.

Authors:  T Ohba; Y Ogawa; Y Shinohara; T Hiromatsu; A Uchida; Y Toyoda
Journal:  Dentomaxillofac Radiol       Date:  1994-08       Impact factor: 2.419

5.  Experimental comparison of radiographic techniques in the detection of maxillary sinus disease.

Authors:  T Ohba; Y Ogawa; T Hiromatsu; Y Shinohara
Journal:  Dentomaxillofac Radiol       Date:  1990-02       Impact factor: 2.419

6.  Analysis of maxillary sinusitis using computed tomography.

Authors:  K Yoshiura; S Ban; T Hijiya; K Yuasa; K Miwa; E Ariji; O Tabata; K Araki; T Tanaka; K Yonetsu
Journal:  Dentomaxillofac Radiol       Date:  1993-05       Impact factor: 2.419

7.  The importance of early diagnosis in patients with maxillary sinus carcinoma.

Authors:  Matthias Kreppel; Ali-Farid Safi; Martin Scheer; Hans-Joachim Nickenig; Joachim Zöller; Simon Preuss; Moritz Meyer; Daniel Rothamel; Timo Dreiseidler
Journal:  Eur Arch Otorhinolaryngol       Date:  2015-09-07       Impact factor: 2.503

Review 8.  Allergic fungal sinusitis: pathophysiology, diagnosis and management.

Authors:  Mark S Schubert
Journal:  Med Mycol       Date:  2009-03-27       Impact factor: 4.076

9.  Validation of dental panoramic radiography measures for identifying postmenopausal women with spinal osteoporosis.

Authors:  Akira Taguchi; Yoshikazu Suei; Mitsuhiro Sanada; Masahiko Ohtsuka; Takashi Nakamoto; Hiroomi Sumida; Koso Ohama; Keiji Tanimoto
Journal:  AJR Am J Roentgenol       Date:  2004-12       Impact factor: 3.959

10.  Squamous cell carcinoma arising from inverted schneiderian papilloma: a case report with oral involvement.

Authors:  Alexandre Simões Garcia; Diego Maurício Bravo-Calderón; Mariana Pisinato Ferreira; Denise Tostes Oliveira
Journal:  Case Rep Otolaryngol       Date:  2014-06-25
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  9 in total

1.  Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography.

Authors:  Makoto Murata; Yoshiko Ariji; Yasufumi Ohashi; Taisuke Kawai; Motoki Fukuda; Takuma Funakoshi; Yoshitaka Kise; Michihito Nozawa; Akitoshi Katsumata; Hiroshi Fujita; Eiichiro Ariji
Journal:  Oral Radiol       Date:  2018-12-11       Impact factor: 1.852

2.  Evaluation of maxillary sinusitis from panoramic radiographs and cone-beam computed tomographic images using a convolutional neural network.

Authors:  Gozde Serindere; Ersen Bilgili; Cagri Yesil; Neslihan Ozveren
Journal:  Imaging Sci Dent       Date:  2022-03-15

3.  A Basic Study for Predicting Dysphagia in Panoramic X-ray Images Using Artificial Intelligence (AI)-Part 1: Determining Evaluation Factors and Cutoff Levels.

Authors:  Yukiko Matsuda; Emi Ito; Migiwa Kuroda; Kazuyuki Araki
Journal:  Int J Environ Res Public Health       Date:  2022-04-09       Impact factor: 4.614

4.  Depression of the maxillary sinus anterior wall and its influence on panoramic radiography appearance.

Authors:  Kazuhito Yoshida; Motoki Fukuda; Kenichi Gotoh; Eiichiro Ariji
Journal:  Dentomaxillofac Radiol       Date:  2017-06-20       Impact factor: 2.419

5.  The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review.

Authors:  Kuofeng Hung; Carla Montalvao; Ray Tanaka; Taisuke Kawai; Michael M Bornstein
Journal:  Dentomaxillofac Radiol       Date:  2019-08-14       Impact factor: 2.419

6.  Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography.

Authors:  Motoki Fukuda; Kyoko Inamoto; Naoki Shibata; Yoshiko Ariji; Yudai Yanashita; Shota Kutsuna; Kazuhiko Nakata; Akitoshi Katsumata; Hiroshi Fujita; Eiichiro Ariji
Journal:  Oral Radiol       Date:  2019-09-18       Impact factor: 1.852

7.  Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs.

Authors:  Ryosuke Kuwana; Yoshiko Ariji; Motoki Fukuda; Yoshitaka Kise; Michihito Nozawa; Chiaki Kuwada; Chisako Muramatsu; Akitoshi Katsumata; Hiroshi Fujita; Eiichiro Ariji
Journal:  Dentomaxillofac Radiol       Date:  2020-07-15       Impact factor: 2.419

8.  Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network.

Authors:  Odeuk Kwon; Tae-Hoon Yong; Se-Ryong Kang; Jo-Eun Kim; Kyung-Hoe Huh; Min-Suk Heo; Sam-Sun Lee; Soon-Chul Choi; Won-Jin Yi
Journal:  Dentomaxillofac Radiol       Date:  2020-07-03       Impact factor: 2.419

9.  Optimal sites for orthodontic anchor screw placement using panoramic images: risk of maxillary sinus perforation and contact with adjacent tooth roots during screw placement.

Authors:  Ken Miyazawa; Momoko Shibata; Masako Tabuchi; Misuzu Kawaguchi; Noriko Shimura; Shigemi Goto
Journal:  Prog Orthod       Date:  2021-12-08       Impact factor: 2.750

  9 in total

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