Diagnostic ability of a smart phone app (injured tooth) in diagnosing traumatic injuries to the teeth – a multicentre analysis

Mohan, Anusha; Agarwal, Tanvi; Cherian, Theresa Sam; Muthu, M S; Balasubramanian, Suganya; Natesh, Subbalekshmi; Saikia, Ankita; Goswami, Mridula; Sharma, Akhilesh; Subramanian, Priya; Johar, Smriti

doi:10.1111/ipd.12411

Cited by 18 publications

(23 citation statements)

References 25 publications

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“…Using the application, there was a total improvement in the diagnosis of the 3 cases proposed in the questionnaire. An improvement from 93.3% (complicated crown fracture), 79.3% (intrusive luxation) and 84.5% (avulsion) to 100% in the diagnosis of the 3 cases was significant and as a result, it supports the finding of Mohan et al (16) where they find that the percentages of correct diagnosis given by the application in regard to the 3 cases presented in our questionnaire were 98%, 83.3% and 100% respectively. Improvement of question 2 answers with the increase of the correct answers percentage from 69% to 100% is due to the clear instruction in the application at the first glance to the management of complicated crown fracture in immature developing teeth.…”

Section: Effect Of Using the Smartphone Dental Applicationsupporting

confidence: 90%

“…The Application poses specific questions, and presents pictures for various injuries. Once a selection is made: the Application displays a diagnosis based on analysis of answers and selections made by the user (16) (Fig. 5, 6).…”

Section: Description: 'Injured Tooth' Applicationmentioning

confidence: 99%

“…A study published in 2018 studied the sum of 201 cases, and concluded that the 'Injured Tooth' Application provided the correct diagnosis for different traumatic injuries in 98% of the cases (16) .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dental Trauma: Assessment of undergraduate dental students: theoretical knowledge and practical use of Smartphone Application ‘Injured Tooth’

ElBardissy

2019

Egyptian Dental Journal

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Section: Effect Of Using the Smartphone Dental Applicationsupporting

confidence: 90%

Section: Description: 'Injured Tooth' Applicationmentioning

confidence: 99%

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Dental Trauma: Assessment of undergraduate dental students: theoretical knowledge and practical use of Smartphone Application ‘Injured Tooth’

ElBardissy

2019

Egyptian Dental Journal

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“…Previous studies have validated remote diagnosis through images and have shown that it was comparable to diagnosis conducted in person. 21,22 This study expanded current knowledge by describing the development and piloting stages of a smartphone application for surveillance of TDI. More specifically, this study described the initial development of the DTT App features and has tested its operation, efficiency and usability using a mixedmethods approach.…”

Section: Discussionmentioning

confidence: 89%

“…Previous studies have validated remote diagnosis through images and have shown that it was comparable to diagnosis conducted in person . This study expanded current knowledge by describing the development and piloting stages of a smartphone application for surveillance of TDI.…”

Section: Discussionmentioning

confidence: 99%

Validation and usability of a mobile phone application for epidemiological surveillance of traumatic dental injuries

Zaror

Espinoza-Espinoza

Atala-Acevedo

et al. 2018

Dental Traumatology

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Background/Aim Traumatic dental injuries (TDI) are a public health problem, given their prevalence and consequences. However, their epidemiology is uncertain due to a general lack of quality data capture. The aim of this study was to evaluate the validity and usability of a mobile phone‐based application for community‐based surveillance of traumatic dental injuries. Materials and Methods A mobile phone‐based application, Dental Trauma Tracker (DTT), was developed. This system involves a mobile application for general users to report TDIs and a Web application for researchers to generate epidemiological data. The DTT evaluation used mixed methods and was conducted in three phases: (a) validation of a trauma identification system using preselected TDI images; (b) design evaluation by experts; and (c) usability evaluation measured by the reporting of three fictitious TDI cases and using the System Usability Scale (SUS). Results In the first phase, 182 participants participated. Most images showed over 95% accuracy, indicating that they adequately represented the type of dentoalveolar trauma being evaluated (κ = 0.75). The design evaluation identified nine usability problems—four of them with a “High priority” to be fixed, four with “Low priority,” and one “No fix necessary.” A total of 29 volunteers participated in the usability evaluation. The mean time for users to complete all of the reports was 7.8 ± 3.0 minutes. Mean SUS score was 67.4 ± 21.9 (Range: 0‐100; worst to best). The global agreement between cases registered with the gold standard was also “Substantial” (κ = 0.71). Conclusions This preliminary evaluation confirmed the App's usability, using a sample of potential users, as well as reporting on the results of an expert panel review of the DTT. These are the minimum requirements necessary before further expansion and widespread implementation occurs to confirm these results.

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Dental undergraduate students' ability in the diagnosis of root fractures: Comparative analysis of different imaging methods

Paz

Borges

Rodrigues

et al. 2021

Journal of Dental Education

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The aim of this study was to evaluate the diagnostic ability of dental undergraduate students to detect horizontal and oblique root fractures (ORFs) using different imaging techniques. Materials and methods: Nine teeth were selected and randomly divided in three groups in order to create a fracture line without fragments separation: control (without fracture), horizontal root fracture (HRF), and ORF. The root fracture was created using perpendicular force and was confirmed by transillumination. A model with two adjacent teeth was created, and different imaging techniques were performed: conventional periapical radiograph; mesially and distally shifted periapical radiographs; cone-beam computer tomography (CBCT). Twenty students that had participation on dental trauma clinic at the year of 2019 were invited to identify root fractures by a five-point scale: (i) fracture definitely not present, (ii) fracture probably not present, (iii) uncertain whether fracture is present or not, (iv) fracture probably present, and (v) fracture definitely present. Data were analyzed by Kappa test for agreement evaluation. Results:Comparing each student to the gold standard, there was a variation in reproducibility and performance from poor to substantial (0.042-0.667). Reproducibility values ranged from poor to good for all periapical radiographs both in the diagnosis of ORF (−0.33-0.667) and in HRF (0-1). Conclusions: In CBCT images, the students' ability was lower in HRF detection in comparison with the oblique ones. The students showed limited capacity to diagnose root fractures; however when CBCT was used, the performance was more satisfactory than when periapical radiographs were used.

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Diagnostic ability of a smart phone app (injured tooth) in diagnosing traumatic injuries to the teeth – a multicentre analysis

Abstract: The study found that the diagnosis given by the Injured Tooth App was in good agreement with the diagnosis given by an experienced faculty. Hence, the App can be successfully used by dental students to arrive at diagnosis.

Cited by 18 publications

References 25 publications

Dental Trauma: Assessment of undergraduate dental students: theoretical knowledge and practical use of Smartphone Application ‘Injured Tooth’

Dental Trauma: Assessment of undergraduate dental students: theoretical knowledge and practical use of Smartphone Application ‘Injured Tooth’

Validation and usability of a mobile phone application for epidemiological surveillance of traumatic dental injuries

Dental undergraduate students' ability in the diagnosis of root fractures: Comparative analysis of different imaging methods

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