Six cases report of differential diagnosis of periapical diseases

Xia, Wenwei; Zhu, Yaqin; Wang, Xiaoyi

doi:10.4248/ijos11055

Cited by 8 publications

(6 citation statements)

References 6 publications

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“…Because root canal debridement is the first choice treatment of ICALs (8,9), most ICALs are impossible to distinguish among radicular cysts (RCs) or periapical granulomas (PGs) (10). Interestingly, there is a discrepancy related to the sample sizes of studies that consider only radiographic examination (8,11) and studies with tissue sample analyses (2,4,5,(12)(13)(14)(15).…”

mentioning

confidence: 98%

Bioinformatics, Interaction Network Analysis, and Neural Networks to Characterize Gene Expression of Radicular Cyst and Periapical Granuloma

Poswar

Farias

Fraga

et al. 2015

Journal of Endodontics

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mentioning

confidence: 98%

Bioinformatics, Interaction Network Analysis, and Neural Networks to Characterize Gene Expression of Radicular Cyst and Periapical Granuloma

Poswar

Farias

Fraga

et al. 2015

Journal of Endodontics

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“…Bacterial colonization of root canal spaces has been demonstrated as the main etiological factor of apical periodontitis [63,64]. In most cases, it is impossible to distinguish between periapical granulomas and radicular cysts without resorting to a biopsy [65]. Radicular cysts are believed to form from the proliferation of Malassez epithelial cell remains in inflamed periradicular tissues [66]; their reported incidences among periapical lesions varies from 6% to 55% [67].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of the Genus Propionibacterium in Primary and Persistent Endodontic Lesions: A Systematic Review

Dioguardi

Alovisi

Crincoli

et al. 2020

JCM

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Propionibacterium are anaerobic/aero-tolerant rod Gram-positive bacteria, and numerous studies are associated with primary and secondary endodontic infections. The data in the literature on the prevalence of Propionibacterium are conflicting, and there are studies that report conflicting data on the prevalence in primary and secondary endodontic infections. This review aims to clarify the prevalence of bacteria of the genus Propionibacterium in endodontic lesions. The present systematic review work was performed on the basis of the Prisma protocol. A search was carried out on the PubMed and Scopus databases with the use of keywords. The research produced 410 records, which, after the elimination of the overlaps and the application of the inclusion and exclusion criteria, led to a number of 36 included articles divided by the three outcomes. The first outcome concerns prevalence of bacteria of the genus Propionibacterium in primary and secondary endodontic lesions. The secondary outcome, differences in the prevalence of bacteria of the genus Propionibacterium between primary endodontic infections and secondary endodontic infections. The tertiary outcome, differences in the prevalence of Propionibacterium Acnes compared to Propionibacterium propionicum in endodontic infections. The results of the meta-analysis show that the genus Propionibacterium bacteria are more prevalent in secondary endodontic infections and that P. acnes has a higher prevalence than P. propionicum.

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“…For widened PDLs abnormality, the figure shows that, for class=1, SCLAHE has the highest scores with 36 images. CLAHE is the second highest (33), followed by the original (31), and last is AHE (24). Class=2 shows the lowest score between the classes with CLAHE having the highest score (4), and SCLAHE having the lowest (1).…”

Section: Comparison Based On Dental Evaluation On Abnormalities A) Fimentioning

confidence: 99%

“…This limitation on conventional radiographic images has significant clinical implications, which could lead to misdiagnosis [15]. Cases of misdiagnosis in dentistry do happen [29][30][31]. The varying morphology of apical areas and varying density of surrounding bone present uncertainty in radiograph decision making [29].…”

Section: Introductionmentioning

confidence: 99%

“…The clinicopathological features contribute to radiographic similarity and could lead to misdiagnosis, especially between periapical giant cell lesions and endodontic lesions [30]. The fuzziness of X-ray film also produces doubt for diagnosis of boundary line at the apical lesion [31]. Aside from the mentioned drawback, another factor that affects the evaluation of periapical disease is the variation in dentists' assessments [29] [32][33].…”

Section: Introductionmentioning

confidence: 99%

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Correlation between Quantitative and Qualitative Analysis on Image Quality of Digital Dental X-ray Images

Ahmad¹,

Taib²,

Khalid³

et al. 2012

JCSCM

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Signal to Noise Ratio (SNR) is a quantitative method to measure the effectiveness of contrast enhancement methods. The question is whether this measurement is consistent with a qualitative evaluation of a medical expert. Biomedical Research, including dentistry cases, usually involves medical experts to do the interpretation, and finalize the diagnosis. However, the subjective evaluations create differences of interpretation. There are two factors contributing to the low quality of dental radiographs-the first is because of the nature of the image acquisition process, and the second is the low X-ray dose usage. Due to that, research related to contrast enhancement algorithms is an accepted image processing method to assist medical officers in doing interpretation that is more reliable. Thus, this work presents an analysis of contrast enhancement algorithms (CEA) applied to digital intraoral radiograph images. The enhancement methods used in this study are CEAs, namely: adaptive histogram equalization (AHE), contrast limited adaptive histogram equalization (CLAHE), and sharp contrast limited adaptive histogram equalization (SCLAHE). The objective of this work is to find a correlation between the dentist evaluation and SNR values in determining the image quality based on the rate of abnormalities detected. Fifty-six original intraoral digital dental X-ray images are collected from the Faculty of Dentistry, Universiti Teknologi MARA Malaysia. These images are processed with the mentioned CEAs, resulting in a total of onehundred sixty-six observations. These images are compared against the original images. The method of assessment is through questionnaires where all images are arranged randomly. The observations focused on identifying widened periodontal ligament space (widened PDLs), periapical radiolucency (PR) and loss of lamina dura (loss LD) abnormalities. These are among the main signs of periapical disease. The results show that the SNR value does not reflect the dentist's evaluation in terms of image quality. The SNR values of CLAHE are able to precede other methods. However, SCLAHE is better than the rest based on dentists' evaluations for widened PDLs abnormality.

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Six cases report of differential diagnosis of periapical diseases

Cited by 8 publications

References 6 publications

Bioinformatics, Interaction Network Analysis, and Neural Networks to Characterize Gene Expression of Radicular Cyst and Periapical Granuloma

Bioinformatics, Interaction Network Analysis, and Neural Networks to Characterize Gene Expression of Radicular Cyst and Periapical Granuloma

Prevalence of the Genus Propionibacterium in Primary and Persistent Endodontic Lesions: A Systematic Review

Correlation between Quantitative and Qualitative Analysis on Image Quality of Digital Dental X-ray Images

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