The iBreastExam versus clinical breast examination for breast evaluation in high risk and symptomatic Nigerian women: a prospective study

Updates in global oncology: Advancements and future directions

Globally, cancer is the second leading cause of death, and low- and middle-income countries bear most of the disease burden. While cancer is increasingly recognized as a major global health issue, more work remains. Understanding the status of global cancer care will shape the next steps in ensuring equitable global access to cancer care. This article highlights ongoing initiatives in global oncology and the next steps in advancing the field.

Role and knowledge of nurses in the management of non-communicable diseases in Africa: A scoping review

BACKGROUND

31.4 million people in low- and middle-income countries die from chronic diseases annually, particularly in Africa. To address this, strategies such as task-shifting from doctors to nurses have been proposed and have been endorsed by the World Health Organization as a potential solution; however, no comprehensive review exists describing the extent of nurse-led chronic disease management in Africa.

AIMS

This study aimed to provide a thorough description of the current roles of nurses in managing chronic diseases in Africa, identify their levels of knowledge, the challenges, and gaps they encounter in this endeavor.

METHODS

We performed a scoping review following the key points of the Cochrane Handbook, and two researchers independently realized each step. Searches were conducted using five databases: MEDLINE, PyscINFO, CINAHL, Web of Science, and Embase, between October 2021 and April 2023. A descriptive analysis of the included studies was conducted, and the quality of the studies was assessed using the Downs and Black Scale.

RESULTS

Our scoping review included 111 studies from 20 African countries, with South Africa, Nigeria, and Ghana being the most represented. Findings from the included studies revealed varying levels of knowledge. Nurses were found to be actively involved in managing common chronic diseases from diagnosis to treatment. Facilitating factors included comprehensive training, close supervision by physicians, utilization of decision trees, and mentorship. However, several barriers were identified, such as a shortage of nurses, lack of essential materials, and inadequate initial training.

CONCLUSION

There is significant potential for nurses to enhance the screening, diagnosis, and treatment of chronic diseases in Africa. Achieving this requires a combination of rigorous training and effective supervision, supported by robust policies. To address varying levels of knowledge, tailored training programs should be devised. Further research is warranted to establish the effectiveness of nurse-led interventions on population health outcomes.

Breast cancer detection using enhanced IRI-numerical engine and inverse heat transfer modeling: model description and clinical validation

Effective treatment of breast cancer relies heavily on early detection. Routine annual mammography is a widely accepted screening technique that has resulted in significantly improving the survival rate. However, it suffers from low sensitivity resulting in high false positives from screening. To overcome this problem, adjunctive technologies such as ultrasound are employed on about 10% of women recalled for additional screening following mammography. These adjunctive techniques still result in a significant number of women, about 1.6%, who undergo biopsy while only 0.4% of women screened have cancers. The main reason for missing cancers during mammography screening arises from the masking effect of dense breast tissue. The presence of a tumor results in the alteration of temperature field in the breast, which is not influenced by the tissue density. In the present paper, the IRI-Numerical Engine is presented as an adjunct for detecting cancer from the surface temperature data. It uses a computerized inverse heat transfer approach based on Pennes's bioheat transfer equations. Validation of this enhanced algorithm is conducted on twenty-three biopsy-proven breast cancer patients after obtaining informed consent under IRB protocol. The algorithm correctly predicted the size and location of cancerous tumors in twenty-four breasts, while twenty-two contralateral breasts were also correctly predicted to have no cancer (one woman had bilateral breast cancer). The tumors are seen as highly perfused and metabolically active heat sources that alter the surface temperatures that are used in heat transfer modeling. Furthermore, the results from this study with twenty-four biopsy-proven cancer cases indicate that the detection of breast cancer is not affected by breast density. This study indicates the potential of the IRI-Numerical Engine as an effective adjunct to mammography. A large scale clinical study in a statistically significant sample size is needed before integrating this approach in the current protocol.

Can the Clinical Utility of iBreastExam, a Novel Device, Aid in Optimizing Breast Cancer Diagnosis? A Systematic Review

PURPOSE

A portable, cost-effective, easy-to-use, hand-held Intelligent Breast Exam (iBE), which is a wireless, radiation-free device, may be a valuable screening tool in resource-limited settings. While multiple studies evaluating the use of iBE have been conducted worldwide, there are no cumulative studies evaluating the iBE's performance. Therefore this review aims to determine the clinical utility and applicability of iBE compared with clinical breast examinations, ultrasound, and mammography and discuss its strengths and weaknesses when performing breast-cancer screening.

METHODS

A systematic review was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Four electronic databases were searched: PubMed, Cochrane Library, Web of Science, and Google Scholar.

RESULTS

The review included 11 studies with a total sample size of 16,052 breasts. The mean age ranged from 42 to 58 years. The sensitivity and specificity of the iBE ranged from 34.3% to 86% and 59% to 94%, respectively. For malignant lesions, iBE demonstrated a moderate to higher diagnostic capacity ranging from 57% to 93% and could identify tumor sizes spanning from 0.5 cm to 9 cm.

CONCLUSION

Our findings underscore the potential clinical utility and applicability of iBE as a prescreening and triaging tool, which may aid in reducing the burden of patients undergoing diagnostic imaging in lower- and middle-income countries. Furthermore, iBE has shown to diagnose cancers as small as 0.5 cm, which can be a boon in early detection and reduce mortality rates. However, the encouraging results of this systematic review should be interpreted with caution because of the device's low sensitivity and high false-positive rates.

Improving access to breast cancer screening and treatment in Nigeria: The triple mobile assessment and patient navigation model (NCT05321823): A study protocol

BACKGROUND

In Nigeria, breast cancer incidence is rising, late presentation is common, and outcomes are poor. Patient-related factors such as lack of awareness and misperceptions in addition to health system deficiencies such as lack of a clearly defined framework for breast cancer screening and referral are some of the major drivers of this poor outlook. Guidelines for breast cancer screening in high-income countries have limited applicability in low-middle-income countries, hence the need for innovative, resource-compatible strategies to combat the negative trend. This manuscript presents our study protocol which aims to evaluate the impact of a novel breast cancer early detection program developed to address delayed presentation and lack of access to diagnostic and treatment facilities in South-West Nigeria. This entails the use of mobile technology (innovative handheld iBreast Exam [iBE] device, mobile breast ultrasound, and mobile mammography) and patient navigation as interventions at the community level.

METHODS

The study (ClinicalTrials.gov identifier: NCT05321823) will adopt a randomized two group clinical trial design with one local government area (LGA) serving as an intervention arm and another serving as the control. Both LGAs will receive breast cancer awareness education but only one will receive the interventions. In the intervention arm, asymptomatic (40-70 years) and symptomatic (30-70 years) women will be invited for breast evaluation which will be performed by trained Community Health Nurses using Clinical Breast Exam (CBE), and iBE. Those with positive findings will proceed to imaging using mobile mammography and ultrasound brought to the LGA every month. Symptomatic women with negative findings on CBE and iBE will be scheduled for repeat clinical evaluation on a short-term basis (one month). The Radiologist will obtain core needle biopsies as indicated and transfer them for prompt pathological assessment. Women presenting to the Primary Healthcare Centers in the control LGA will be referred directly to Obafemi Awolowo University Teaching Hospitals Complex as per the current standard of care. Records of all breast cancer cases seen in the two LGAs during the study period will be obtained. The program metrics will include screening participation rate, cancer detection rate, stage at diagnosis, and timeline from detection to initiation of treatment. The stage at diagnosis and timeline from detection to treatment compared between the two LGAs will be used to assess the impact of the intervention. The study is proposed for 2 years; however, a descriptive analysis will be carried out at 1.5 years to evaluate the retention of the study participants.

STUDY SIGNIFICANCE

It is anticipated that this study will provide vital data to support wider breast cancer screening efforts in Nigeria.

Knowledge and awareness of breast cancer and breast self-examination among college-going female students in Delhi-NCR: a cross sectional study

Purpose

Breast cancer (BC) presents a major public health challenge world-over including India. While several risk-factors, early signs and symptoms of BC are known, the knowledge and awareness of this disease remains poor among the population. The present study aimed to determine the extent of knowledge and awareness of BC, its risk factors, early signs and symptoms and breast self-examination (BSE) practice as an early detection method among Indian college-going female students.

Design/methodology/approach

The authors conducted a cross-sectional survey at a University in Delhi-NCR. Data on socio-demographic, knowledge and awareness of BC including BSE was collected using a pretested questionnaire. Chi-square test and logistic regression analysis was performed. All tests were two-sided and significance was set at p < 0.05.

Findings

A total of 866 female students participated in the study with mean age of 22.32 (±0.146) years having mean body mass index (BMI) of 21.22 (±3.52). As high as 82.1% of the participants had heard of BC but while 74.8% thought early detection is possible, 70.7% believed BC cannot be prevented. Gene mutations (60.2%) were identified as a significant risk factor, while breast pain (61.4%) was commonly recognized as a sign of BC. Only 29.8% of students ever performed BSE. Increased odds of performing BSE (OR = 3.4) was found among students who recognized gene mutations as an important BC risk factor.

Research limitations/implications

Knowledge and awareness of BC including BSE among female college students were found to be below average. It is suggested that there is an urgent need for increasing BC awareness among young girls through workshops and mobile-health interventions.

Practical implications

This study provides new information on the level of knowledge and awareness of BC risk factors, sign and symptoms and self-examination practice among young college girls. Moreover, this study advocates the need for design and implementation of a sustainable digital health model for active population BC screening, which is not being done currently.

Social implications

BC is a highly aggressive disease, which is now one of the leading causes of morbidity and mortality in India and world over. Although the knowledge of BC risk factors and its signs and symptoms have increased, the awareness of these elements among the general population at large is low and/or missing, especially in India. Furthermore, as a consequence of unorganized screening programs in the country, majority of women are presenting young with locally advanced disease. Understanding the existing level of knowledge and educating school, college and University students of the pertinent factors and screening practices such as BSE could drastically help in improving the self-screening and/or clinical examination rates. This could potentially lead to early detection and improved prognosis, thus ameliorating disease burden.

Originality/value

This study is one of the few studies conducted in India among young female college students belonging to non-medical backgrounds, delineating the level of knowledge and awareness of BC risk factors and signs and symptoms along with practice of early detection method such as BSE. The study has a considerable sample size and provides valuable evidence for a need to implement programs incorporating digital health models for accelerating awareness and screening of young girls in both rural and urban settings.

Artificial intelligence, human intelligence, and the future of public health

In this paper, I have described the healthcare problem (maldistribution of doctors) in India. Later, I have introduced the concept of artificial intelligence (AI) and I have described AI technology with various examples, how it is rapidly changing the healthcare scenario across the world. I have also described the various advantages of artificial intelligence technology. At the end of the paper, I have raised some serious concerns regarding complete replacement of human based healthcare technology with artificial intelligence technology. I concluded that there is not the slightest question that AI will influence the future. People must be innovative, insightful, and context-aware for AI to work. This is because humans will continue to contribute value that cannot be reproduced by robots.

iBreastExam: Time for Formal Operation in Nepal

iBreastExam device can be a solution to the increasing problem of advanced breast cancer cases diagnosed late as a screening device often useful in low resource and low manpower settings like Nepal

Bio-piezoelectricity: fundamentals and applications in tissue engineering and regenerative medicine

In recent years, smart materials have piqued the interest of scientists and physicians in the biomedical community owing to their ability to modify their properties in response to an external stimulation or changes in their surroundings. Biocompatible piezoelectric materials are an interesting group of smart materials due to their ability to produce electrical charges without an external power source. Electric signals produced by piezoelectric scaffolds can renew and regenerate tissues through special pathways like that found in the extracellular matrix. This review summarizes the piezoelectric phenomenon, piezoelectric effects generated within biological tissues, piezoelectric biomaterials, and their applications in tissue engineering and their use as biosensors.