3D modelling system for diagnosis and treatment planning of prostate cancer

Aim of this letter is to attract the attention of journal readers to the study of exosomes as an important direction in the development of Oncology, in particular, in the diagnosis and treatment of prostate cancer. Exosomes are produced by tumor cells and regulate proliferation, metastasis, and the development of chemoresistance. Their extraction from biological fluids allows further use of these vesicles as potential biomarkers of prostate cancer. In the future, exosomes can be successfully used in the delivery of drugs and other anti-tumor substances to cancer cells.

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PSMA-PET/MRI for Radiation Treatment Planning in Patients With Locally Metastatic Prostate Cancer: A Pilot Study

Case Medical Research ◽

10.31525/ct1-nct04086966 ◽

2019 ◽

Author(s):

Keyword(s):

Prostate Cancer ◽

Pilot Study ◽

Treatment Planning ◽

Metastatic Prostate Cancer ◽

Radiation Treatment ◽

Radiation Treatment Planning ◽

Psma Pet

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Prostate Carcinogenesis: Insights in relation to Epigenetics and Inflammation.

Endocrine Metabolic & Immune Disorders - Drug Targets ◽

10.2174/1871530320666200719020709 ◽

2020 ◽

Vol 20 ◽

Author(s):

Mirazkar D. Pandareesh ◽

Vivek Hamse Kameshwar ◽

Kullaiah K. Byrappa

Keyword(s):

Prostate Cancer ◽

Epithelial Mesenchymal Transition ◽

Human Cancer ◽

Control Cell ◽

Diagnosis And Treatment ◽

Epigenetic Changes ◽

Mesenchymal Transition ◽

Prostate Carcinogenesis ◽

History Of ◽

Clinical Potential

: Prostate cancer is a multifactorial disease that mainly occurs due to the accumulation of somatic, genetic and epigenetic changes, resulting in the inactivation of tumor-suppressor genes and activation of oncogenes. Mutations in genes, specifically those that control cell growth and division or the repair of damaged DNA, make the cells grow and divide uncontrollably to form a tumor. The risk of developing prostate cancer depends upon the gene that has undergone the mutation. Identifying such genetic risk factors for prostate cancer pose a challenge for the researchers. Besides genetic mutations, many epigenetic alterations including DNA methylation, histone modifications (methylation, acetylation, ubiquitylation, sumoylation, and phosphorylation) nucleosomal remodelling, and chromosomal looping, have been significantly contributed to the onset of prostate cancer as well as the prognosis, diagnosis, and treatment of prostate cancer. Chronic inflammation also plays a major role in the onset and progression of human cancer, via. modifications in the tumor microenvironment by initiating epithelial-mesenchymal transition and remodelling the extracellular matrix. In this article, the authors present a brief history of the mechanisms and potential links between the genetic aberrations, epigenetic changes, inflammation and inflammasomes that are known to contribute to the prognosis of prostate cancer. Furthermore, the authors examine and discuss clinical potential of prostate carcinogenesis in relation to epigenetics and inflammation for its diagnosis and treatment.

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Exam, Diagnosis and Treatment Planning in Pediatric Patients

Physical Evaluation and Treatment Planning in Dental Practice ◽

10.1002/9781119784609.ch14 ◽

2021 ◽

pp. 343-385

Keyword(s):

Treatment Planning ◽

Pediatric Patients ◽

Diagnosis And Treatment

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Recent Advances in Nanomedicine for the Diagnosis and Treatment of Prostate Cancer Bone Metastasis

Molecules ◽

10.3390/molecules26020384 ◽

2021 ◽

Vol 26 (2) ◽

pp. 384

Author(s):

Daniel E. Hagaman ◽

Jossana A. Damasco ◽

Joy Vanessa D. Perez ◽

Raniv D. Rojo ◽

Marites P. Melancon

Keyword(s):

Prostate Cancer ◽

Bone Metastases ◽

Advanced Prostate Cancer ◽

Bone Fractures ◽

Diagnosis And Treatment ◽

Survival Times ◽

Preclinical Research ◽

Relieve Pain ◽

Translational Models

Patients with advanced prostate cancer can develop painful and debilitating bone metastases. Currently available interventions for prostate cancer bone metastases, including chemotherapy, bisphosphonates, and radiopharmaceuticals, are only palliative. They can relieve pain, reduce complications (e.g., bone fractures), and improve quality of life, but they do not significantly improve survival times. Therefore, additional strategies to enhance the diagnosis and treatment of prostate cancer bone metastases are needed. Nanotechnology is a versatile platform that has been used to increase the specificity and therapeutic efficacy of various treatments for prostate cancer bone metastases. In this review, we summarize preclinical research that utilizes nanotechnology to develop novel diagnostic imaging tools, translational models, and therapies to combat prostate cancer bone metastases.

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Prediction of arch perimeter based on arch width as a guide for diagnosis and treatment planning

Bulletin of the National Research Centre ◽

10.1186/s42269-021-00602-1 ◽

2021 ◽

Vol 45 (1) ◽

Author(s):

Omnia A. Elhiny ◽

Mohammed Abou Elyazied ◽

Ghada A. Salem

Keyword(s):

Statistical Analysis ◽

Treatment Planning ◽

Diagnosis And Treatment ◽

Regression Equations ◽

Old Patients ◽

Arch Width ◽

Egyptian Population ◽

Secular Variations ◽

Normal Occlusion ◽

Lower Arch

Abstract Background The choice between extraction and expansion treatment is an endless debate in orthodontics. Ethnic and secular variations showed that there was a change in arch perimeter over the last 50 years. Accordingly, the purpose of this study was to investigate the relation between the arch perimeter and the intercanine and intermolar widths in normal occlusion. Also, to design regression equations for the prediction of the arch perimeter based on arch width, in a sample of the Egyptian population. The images of 340 cast pairs for 11 to 13-year-old patients were traced using TracerNet. Intercanine width, intermolar width and arch perimeter were measured, statistical analysis was performed and regression equations for both arches were formulated. Results There was a positive correlation between the lower arch AP, ICW and IMW and between the upper arch AP and ICW. Lower arch perimeter = 0.536 I33 + 71.642, lower arch perimeter = 0.828 l66 + 58.604 and upper arch perimeter = 1.988 U33 + 30.492 were the significant derived equations. Conclusions The formulation of regression equations offers a tool for the prediction of arch perimeter or arch width that can act as a guide in diagnosis and treatment planning.

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