Correction to Do various imaging modalities provide potential early detection and diagnosis of medication-related osteonecrosis of the jaw? A review

2021 ◽  
Keyword(s):  
Early Detection ◽  
Osteonecrosis Of The Jaw ◽  
Imaging Modalities ◽  
Detection And Diagnosis ◽  
Early Detection And Diagnosis

scholarly journals Applications of nanoparticles in biomedical imaging

Nanoscale ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 799-819 ◽  
Author(s):  
Xiangjun Han ◽  
Ke Xu ◽  
Olena Taratula ◽  
Khashayar Farsad
Keyword(s):  
Clinical Practice ◽  
Early Detection ◽  
Contrast Agents ◽  
Biomedical Imaging ◽  
Imaging Modalities ◽  
Detection And Diagnosis ◽  
Early Detection And Diagnosis ◽  
Diagnosis Of Diseases

An urgent need for early detection and diagnosis of diseases continuously pushes the advancements of imaging modalities and contrast agents. Nanoparticles as imaging contrast agents demonstrate more advantages and have promise to greatly benefit clinical practice.

Do various imaging modalities provide potential early detection and diagnosis of medication-related osteonecrosis of the jaw?: a review

2021 ◽  
pp. 20200417
Author(s):  
Pongsapak Wongratwanich ◽  
Kiichi Shimabukuro ◽  
Masaru Konishi ◽  
Toshikazu Nagasaki ◽  
Masahiko Ohtsuka ◽  
...  
Keyword(s):  
Early Detection ◽  
Diagnostic Delay ◽  
Three Dimensional ◽  
Osteonecrosis Of The Jaw ◽  
Current Data ◽  
Imaging Modalities ◽  
Cochrane Library ◽  
Imaging Features ◽  
Literature Searches ◽  
Detection And Diagnosis

Objective: Patients with medication-related osteonecrosis of the jaw (MRONJ) often visit their dentists at advanced stages and subsequently require treatments that greatly affect quality of life. Currently, no clear diagnostic criteria exist to assess MRONJ, and the definitive diagnosis solely relies on clinical bone exposure. This ambiguity leads to a diagnostic delay, complications, and unnecessary burden. This article aims to identify imaging modalities’ usage and findings of MRONJ to provide possible approaches for early detection. Methods: Literature searches were conducted on PubMed, Web of Science, Scopus, and Cochrane Library to review all diagnostic imaging modalities for MRONJ. Results: Panoramic radiography offers a fundamental understanding of the lesions. Imaging findings were comparable between non-exposed and exposed MRONJ, showing osteolysis, osteosclerosis, and thickened lamina dura. Mandibular cortex index (MCI) class II could be a potential early MRONJ indicator. While three-dimensional modalities, CT and CBCT, were able to show more features unique to MRONJ such as a solid type periosteal reaction, buccal predominance of cortical perforation, and bone-within-bone appearance. MRI signal intensities of vital bones are hypointense on T1WI and hyperintense on T2WI and STIR when necrotic bone shows hypointensity on all T1WI, T2WI, and STIR. Functional imaging is the most sensitive method but is usually performed in metastasis detection rather than being a diagnostic tool for early MRONJ. Conclusion: Currently, MRONJ-specific imaging features cannot be firmly established. However, the current data is valuable as it may lead to a more efficient diagnostic procedure along with a more suitable selection of imaging modalities.

Detection of Leukemia Using Image Processing

2018 ◽  
Vol 8 (4) ◽  
pp. 61
Author(s):  
A. Sivasangari ◽  
G. Sasikumar
Keyword(s):  
Image Processing ◽  
Statistical Analysis ◽  
Early Detection ◽  
Visual Inspection ◽  
Causes Of Death ◽  
Cure Rate ◽  
Blood Disorders ◽  
Detection And Diagnosis ◽  
The Moment ◽  
Early Detection And Diagnosis

Leukemia   disease   is one   of    the   leading   causes   of death   among   human. Its  cure  rate and  prognosis   depends   mainly   on  the  early  detection   and  diagnosis  of   the  disease. At  the  moment, identification  of  blood  disorders  is  through   visual  inspection  of  microscopic  images  by  examining  changes  like  texture, geometry, colour  and   statistical  analysis  of  images . This  project  aims  to  preliminary  of  developing  a  detection  of  leukemia  types  using   microscopic  blood  sample using MATLAB. Images  are  used  as  they  are  cheap  and  do  not  expensive  for testing  and  lab  equipment.

scholarly journals A Selective Ensemble Classification Method Combining Mammography Images with Ultrasound Images for Breast Cancer Diagnosis

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jinyu Cong ◽  
Benzheng Wei ◽  
Yunlong He ◽  
Yilong Yin ◽  
Yuanjie Zheng
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Ensemble Classification ◽  
Classification Method ◽  
Ultrasound Images ◽  
Selective Ensemble ◽  
Detection And Diagnosis ◽  
Early Detection And Diagnosis

Breast cancer has been one of the main diseases that threatens women’s life. Early detection and diagnosis of breast cancer play an important role in reducing mortality of breast cancer. In this paper, we propose a selective ensemble method integrated with the KNN, SVM, and Naive Bayes to diagnose the breast cancer combining ultrasound images with mammography images. Our experimental results have shown that the selective classification method with an accuracy of 88.73% and sensitivity of 97.06% is efficient for breast cancer diagnosis. And indicator R presents a new way to choose the base classifier for ensemble learning.

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