scholarly journals ALGORITHM FOR EARLY CANCER DETECTION IN CHILDREN

2020 ◽  
Vol 19 (5) ◽  
pp. 5-14
Author(s):  
M. Yu. Rykov ◽  
O. A. Manerova ◽  
I. A. Turabov ◽  
V. V. Kozlov ◽  
V. A. Reshetnikov
Keyword(s):  
Childhood Cancer ◽  
Cancer Detection ◽  
Early Cancer ◽  
Functional Model ◽  
Early Cancer Detection ◽  
Control Group ◽  
Malignant Neoplasms ◽  
Specialized Treatment ◽  
Group I ◽  
Pediatric Oncologist

Background. Over the past decades, there has been a steady increase in the incidence of childhood cancer. The most childhood cancers are detected at advanced stages. The incidence of childhood cancer increased by 12.8 % (from 11.7 per 100,000 in 2007 to 13.2 per 100,000 in 2017) and the prevalence increased by 37.9 % (from 63.9 in 2007 to 88.1 in 2017 per 100,000). The purpose of the study was to develop algorithms for early cancer detection in children.Material and Methods. In the Arkhangelsk region, the algorithm for referring a patient to a consultation with a pediatric oncologist was introduced into pediatric clinical practice in 2016. To evaluate the effectiveness of the algorithm, we compared two groups of patients with histologically verified solid malignant neoplasms. Group I included 49 patients, who received treatment in 2011–15 (before performing the experiment), and group II consisted of 51 patients, who received treatment in the Department of Pediatric Oncology in 2016–18 (the control group).Results. The use of the algorithm for referring a patient to a consultation with a pediatric oncologist led to the increase in the 3-year survival time from 25.04 ± 2.05 months to 30.3 ± 1.57 months (р=0,045). The time parameters of various stages preceding the start of specialized treatment were statistically significantly reduced: the time from the visit of a pediatric oncologist to verification of the diagnosis decreased from 9.0 (7.0; 14.0) to 7.0 (5.0; 9, 0) days (p˂0.001); the time from diagnosis verification to the beginning of specialized treatment – from 12.0 (8.0; 16.0) to 8.0 (6.0; 10.0) days (p˂0.001); the time from the visit of a pediatrician to referral to a pediatric oncologist – from 11.0 (6.0; 17.0) to 2.0 (1.0; 3.0) days (p˂0.001); the time from the visit of a pediatrician until the beginning of specialized treatment – from 23.0 (17.0; 32.0) to 9.0 (8.0; 12.0) days (p˂0.001).Conclusion. The introduction of a structural and functional model for organizing medical care for children with cancer was shown to be effective. 

scholarly journals Small-area data on socioeconomic status and immigrant groups for evaluating equity of early cancer detection and care

2021 ◽  
pp. 1-6
Author(s):  
Ulf Strömberg ◽  
Brandon L. Parkes ◽  
Amir Baigi ◽  
Carl Bonander ◽  
Anders Holmén ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Cancer Detection ◽  
Small Area ◽  
Early Cancer ◽  
Early Cancer Detection ◽  
Area Data

Dying To Be Men: Masculinity and Early Cancer Detection Among Nigerian Men

2021 ◽  
pp. 0272684X2110049
Author(s):  
Darlingtina Esiaka ◽  
Candidus Nwakasi ◽  
Kelsey Brodie ◽  
Aaron Philip ◽  
Kalu Ogba
Keyword(s):  
Public Health ◽  
Cancer Detection ◽  
Attachment Styles ◽  
Early Cancer ◽  
Sub Saharan Africa ◽  
Early Cancer Detection ◽  
Anxious Attachment ◽  
Incidence And Mortality ◽  
Nigerian Men ◽  
Sub Saharan

Cancer incidence and mortality in Nigeria are increasing at an alarming rate, especially among Nigerian men. Despite the numerous public health campaigns and education on the importance of early cancer detection in Nigeria, there exist high rate of fatal/advanced stage cancer diagnoses among Nigerian men, even among affluent Nigerian men. However, there is limited information on patterns of cancer screening and psychosocial predictors of early cancer detection behaviors among Nigerian men. In this cross-sectional study, we examined demographic and psychosocial factors influencing early cancer detection behaviors among Nigerian men. Participants (N = 143; Mage = 44.73) responded to survey assessing: masculinity, attachment styles, current and future cancer detection behaviors, and sociodemographic characteristics. We found that among the participants studied, education, masculinity and anxious attachment were significantly associated with current cancer detection behaviors. Additionally, education and anxious attachment were significantly associated with future cancer detection behaviors. Our finding is best served for clinicians and public health professionals, especially those in the field of oncology in Sub-Saharan Africa. Also, the study may be used as a groundwork for future research and health intervention programs targeting men in Sub-Saharan Africa.

Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma

2021 ◽  
Author(s):  
Lin Huang ◽  
Kun Qian
Keyword(s):  
Machine Learning ◽  
Lung Adenocarcinoma ◽  
Cancer Detection ◽  
High Performance ◽  
Large Scale ◽  
Early Cancer ◽  
Early Stage ◽  
Early Cancer Detection ◽  
Ionization Mass ◽  
Efficient Test

Abstract Early cancer detection greatly increases the chances for successful treatment, but available diagnostics for some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA for large-scale clinical use must address quick detection, low invasiveness, and high performance. Here, we conduct machine learning of serum metabolic patterns to detect early-stage LA. We extract direct metabolic patterns by the optimized ferric particle-assisted laser desorption/ionization mass spectrometry within 1 second using only 50 nL of serum. We define a metabolic range of 100-400 Da with 143 m/z features. We diagnose early-stage LA with sensitivity~70-90% and specificity~90-93% through the sparse regression machine learning of patterns. We identify a biomarker panel of seven metabolites and relevant pathways to distinguish early-stage LA from controls (p < 0.05). Our approach advances the design of metabolic analysis for early cancer detection and holds promise as an efficient test for low-cost rollout to clinics.

Knowledge of Testicular Cancer Risk and Need for Self-Examination in College Students: A Call for Equal Time for Men in Teaching of Early Cancer Detection Techniques

PEDIATRICS ◽  
1984 ◽  
Vol 74 (6) ◽  
pp. 1093-1096
Author(s):  
John M. Goldenring ◽  
Elizabeth Purtell
Keyword(s):  
Testicular Cancer ◽  
Cancer Detection ◽  
Early Cancer ◽  
Early Cancer Detection ◽  
Men And Women ◽  
Equal Time ◽  
Detection Techniques ◽  
The Past ◽  
Knowledge And Practice ◽  
Self Examination

College athletes were surveyed about their knowledge and practice of early cancer detection techniques. Males were almost completely unaware of their risk for testicular cancer (87%). Only 9.6% had been taught testicular self-examination and only half of these by their physician. Six percent actually examined themselves regularly. In comparison, more than 60% of women had been taught breast self-examination (75% by a physician) and about one third were doing regular examinations. More than 90% of the young men and women had been seen by physicians for a physical examination within the past 3 years. Physicians need to begin educating males about testicular cancer and its early detection.

scholarly journals Standards for Plasma and Serum Proteomics in Early Cancer Detection: A Needs Assessment Report from the National Institute of Standards and Technology-National Cancer Institute Standards, Methods, Assays, Reagents and Technologies Workshop, August 18–19, 2005

2006 ◽  
Vol 52 (9) ◽  
pp. 1669-1674 ◽  
Author(s):  
Peter E Barker ◽  
Paul D Wagner ◽  
Stephen E Stein ◽  
David M Bunk ◽  
Sudhir Srivastava ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Needs Assessment ◽  
Reference Materials ◽  
Cancer Detection ◽  
National Cancer Institute ◽  
Early Cancer ◽  
Early Cancer Detection ◽  
Assessment Report ◽  
Serum Proteomics

Abstract NIST and the National Cancer Institute cosponsored a workshop on August 18–19, 2005, to examine needs for reference materials for early cancer detection. This meeting focused on standards, methods, assays, reagents, and technologies. Needs for plasma and serum proteomics, DNA methylation, and specimen reference collections were discussed, and recommendations from participants were solicited. This report summarizes the discussion and recommendations for proteomics reference materials.

Early cancer detection

2017 ◽  
pp. 89-102
Author(s):  
Renelle Myers ◽  
Stephen Lam
Keyword(s):  
Cancer Detection ◽  
Early Cancer ◽  
Early Cancer Detection
Sign in / Sign up

Export Citation Format

Share Document