Cancer screening in the United States, 2017: A review of current American Cancer Society guidelines and current issues in cancer screening

The intersection of the laboratory and transgender care

Transgender and gender diverse (TGD) individuals seeking gender affirming treatment are an increasing demographic in today's society; such treatments include hormonal and surgical interventions aimed at alleviating gender dysphoria and increasing quality of life. A number of diagnostic pathology tests are provided to medical professionals with sex specific reference intervals (RIs) for interpretation, due to sex specific physiological differences, organ size and hormone levels for example. These tests may be reported with RIs that are not appropriate, and interpretation for the medical professional can be challenging. From the laboratory perspective, there are limitations in Laboratory Information Management Systems (LIMS) and the ability of these databases to record both sex and gender identifiers, as well as the reporting of appropriate RIs. The use of RIs derived from the transgender population is complex, studies generally have a low sample size and include adults with long established hormonal treatments. The age of an individual undergoing gender affirming therapy has decreased, and the use of Gonadotrophin Releasing Hormone analogues adds complexity. In this review, we will discuss the current challenges and perspectives regarding the reporting of reference intervals in the TGD population, the derivation of personalized or transgender specific RIs and interpretation of specific diagnostic tests.

Application of the Colorectal Cancer (CRC) Screening Guiding Principles for Non-invasive Testing to Multi-target Stool DNA: A Case Study

A significant lack of participation in colorectal cancer (CRC) screening programs in the United States limits the impact of screening to reduce morbidity and mortality. Recently a group of experts in CRC screening defined the Guiding Principles for Noninvasive Testing (GPNIT). GPNIT pathway is intended to serve as a step by step guide for study design to ultimately lead to implementation and integration of a potentially clinically appropriate CRC screening test. Multi-target stool DNA (MT-sDNA) test usage for CRC screening has increased significantly recently in the United States. Here, the key studies in the development of MT-sDNA as an emerging CRC screening test are placed in context of the GPNIT pathway for CRC screening test development. This case study is meant to be instructive for future test development in CRC screening to achieve ultimately clinically relevant future tests and improve the efficacy of CRC screening.

The influence of tobacco use, hazardous drinking, and other risk factors on HPV-associated oropharyngeal cancer risk and screening perceptions among gay and bisexual men: a cross-sectional study

BACKGROUND

Oropharyngeal cancer is the eighth most common cancer among US men and its incidence is sharply rising. Oropharyngeal cancer manifests in two major ways: the classic form is prevalent among people who use alcohol and tobacco heavily, while a growing subset of incident cases is associated with human papillomavirus-16 (HPV) and transmitted via oral sex. Gay and bisexual men appear at higher risk for each etiologic subset of oropharyngeal cancer than heterosexual men. We conducted a cross-sectional study to learn how tobacco use, hazardous drinking, and other key risk factors affect gay and bisexual men's perceptions of oropharyngeal cancer risk and beliefs about screening at a doctor's office and self-screening at home.

METHODS

We recruited 1,699 gay and bisexual men from two dating websites to participate in an online survey. We asked about tobacco use, alcohol consumption, sexual history, and other risk factors for oropharyngeal cancer. The survey also investigated participants' perceptions of oropharyngeal cancer risk and potential worry related to screening. We analyzed results at the bivariate level and in multivariable regression models. We used logistic regression to analyze categorical data and linear regression to analyze continuous data.

RESULTS

Average age of participants was 41.5 (SD = 12.7) years. Most were cisgender (95%), and identified as gay (80%), while 19% were bisexual or pansexual, with 2% reporting being queer or a self-described sexuality. Factors associated with high perceived oropharyngeal cancer risk perceptions were cigarette smoking, using both cigarettes and vaping, being gay identified, number of sexual partners in the last 12 months, and having poor mouth/teeth condition. Factors associated with oropharyngeal cancer screening worry were being Hispanic, having queer/self-described sexuality, not having health insurance, and having poor mouth/teeth condition. No factors were associated with self-screening at home. Alcohol use was not associated with oropharyngeal cancer risk perception.

CONCLUSIONS

This study examines oropharyngeal cancer risk perceptions among gay and bisexual men. Health promotion efforts to reduce oropharyngeal cancer risk among gay and bisexual men should involve comprehensive oral health, sexual health, and tobacco use education. Researchers should continue investigating acceptable and effective home self-screening methods for HPV-associated cancers.

Global, regional and national burden and trends of larynx cancer among adults aged 55 and older from 1990 to 2021: results from the global burden of disease study 2021

BACKGROUND

Laryngeal cancer (LC), as a common head and neck tumor, significantly impacts the quality of life. Utilizing data from the 2021 Global Burden of Disease (GBD) study, we sought to delve deeply into the global LC burden experienced by individuals aged 55 and older from 1990 to 2021 at the global, regional, and national levels. This research encompassed three key indicators: incidence rate, mortality, and disability-adjusted life years (DALYs).

METHODS

Based on the GBD 2021 database, we selected data from 204 countries and regions covering the period from 1990 to 2021 for individuals aged 55 and above. We analyzed LC's performance in terms of incidence, mortality, and DALYs, calculating the age-standardized rates and the mean average annual percent change (AAPC) at global, regional, and national levels. In our analysis of global trends, we carefully considered multiple variables including age, sex, and the socio-demographic index (SDI). Furthermore, we assessed potential risk factors for LC-associated DALYs and made prospective predictions for the possible scenario by 2035.

RESULTS

Globally, the age-standardized DALY rate of LC among adults aged 55 years and older has undergone significant changes. Specifically, this rate dropped sharply from 245.89 cases per 100,000 people in 1990 to 153.76 cases per 100,000 people in 2021, with an AAPC showing a decreasing trend of -2.916. Simultaneously, the age-standardized incidence rate and mortality rate also exhibited a similar downward trend. From a regional perspective, South Asia ranked highest in relevant indicators in 2021, reporting a death toll of 29,258.96, confirmed cases of 34,234.23, and DALYs related to LC reaching 709,622.00. In contrast, the figures in Oceania were the lowest, with only 26.23 deaths, 29.53 incident cases, and 609.09 DALYs. When divided according to the quintiles of the SDI, in 2021, the medium-high SDI led in incidence rates, while the low SDI ranked last. However, in terms of mortality and DALY rates, medium-low SDI topped the list, with high SDI being the lowest. In terms of gender differences, in 2021, the age-standardized DALY rate of LC in males was approximately 7.13 times that of females, with the former reaching 282.12 cases per 100,000 people and the latter only 39.59 cases per 100,000 people. Among all age groups, a notable decrease was observed in the age-specific incidence rate and DALY for adults aged 60-64 years, with AAPC values of -0.123 (95% CI: -0.130 to -0.116) and - 3.553 (95% CI: -3.620 to -3.486), respectively. Similarly, the mortality rate for adults aged 65-69 years also showed a significant decline, with an AAPC of -0.123 (95% CI: -0.127 to -0.118). Additionally, tobacco has been revealed as the most important risk factor affecting the mortality and DALY of LC in adults aged 55 years and older. Looking ahead, it is predicted that by 2035, the incidence rate, mortality rate, and DALY rate of LC among people over 55 years old will continue to decline.

CONCLUSIONS

Despite the current data and future predictions indicating a decline in the global age-standardized incidence rate, the absolute number of estimates continues to increase. Therefore, we advocate that cancer prevention strategies should place greater emphasis on vigorously addressing modifiable risk factors, particularly for the male population, which requires special attention and scientific intervention.

Impact of patients' age and comorbidities on prostate cancer overdiagnosis in clinical practice

INTRODUCTION

Overdiagnosis in PSA-based prostate cancer (PCa) screening is primarily studied in younger, healthier populations from clinical trials. This study aimed to evaluate the probability of overdiagnosis in PCa screening within a clinical practice context, focusing on its relationship with PSA levels, Gleason scores, and subsequent clinical procedures.

METHODS

We conducted a retrospective cohort analysis of 1,070 asymptomatic men over 40 years old diagnosed with PCa between 2004 and 2022, following a positive PSA test. The patients were followed until December 31, 2022, with a median follow-up time of 5.7 years (IQR 3.2-8.6). The primary outcome was the probability of overdiagnosis, assessed through life expectancy and the Charlson Comorbidity Index, considering lead times of 5, 10, and 15 years.

RESULTS

We found that patients with PSA levels >10 ng/dL and/or Gleason scores ≥8 were generally older and had more comorbidities than those with PSA levels 4-10 ng/dL and/or Gleason scores ≤7. The probability of overdiagnosis was significantly higher in patients with PSA levels >10 ng/dL (41.4%, IQR 21.5-73.9) and Gleason scores ≥8 (42.6%, IQR 14.9-38.9), compared to those with PSA levels 4-10 ng/dL (20.1%, IQR 12.8-30.4) and Gleason scores ≤7 (26.6%, IQR 23.6-68.6). Notably, 71.7% of patients did not receive pharmacological treatment. Patients with higher PSA levels also experienced greater radiation exposure from diagnostic imaging (median 19.9 mSv vs. 14.7 mSv, p = 0.004).

CONCLUSIONS

These findings underscore the high likelihood of overdiagnosis in older patients with elevated PSA levels and significant comorbidities, highlighting the need for careful consideration of patient comorbidities before PSA testing.

Analyzing the cancer mortality-to-incidence ratios and health expenditures in the aging population: a 20-year comparative study across high-income countries

Background

The global burden of cancer is expected to increase by 60% over the next two decades, largely due to population aging. The study aims to examine the association between cancer mortality-to-incidence ratios (MIR) with healthcare expenditures (HE), and human development index score for individuals 70 years old or older.

Method

This is an epidemiological study using publicly available data from the Global Burden of Disease (GBD) for six over the years 1990-2019. A generalized linear model was employed to examine the association between MIR, and health expenditures and health development index score.

Results

Included countries showed a statistically significant negative association between MIR and both HE, and HE, indicating that higher HDI and HE are associated with decreased MIR with the highest decrease was for China, the coefficient for HDI is -1.29 (95% CI: -1.35 to -1.24, p < 0.0001), the coefficient for HE is -0.103 (95% CI: -0.17 to -0.03, p < 0.0001). There are variations exist in MIRs between high and low health expenditure countries for each cancer type.

Conclusion

The study reveals a significant impact of HE and HDI on cancer outcomes in older adults. Variations between high and low HE nations highlight potentially improved cancer outcomes in high HE countries. Considering the anticipated growth in the aging population worldwide, a rise in cancer cases is expected among older individuals. The implications are profound, suggesting an impending strain on healthcare systems, particularly in nations with a high proportion of elderly and low health expenditures.

Investigating the effect of the educational intervention based on the Health Belief Model on the knowledge and beliefs of Yemeni teachers in the use of breast cancer screening: a randomized controlled trial study

BACKGROUND

Breast cancer (BC) is the most prevalent cancer among women. Teachers play a crucial role in promoting healthy behaviors, including breast cancer screening (BCS). This study aimed to assess the impact of an Health Belief Model (HBM)-based educational intervention on BCS uptake, knowledge, and beliefs among female Yemeni teachers in Klang Valley, Malaysia.

METHODS

A cluster-randomized controlled trial was conducted with 180 participants from 12 schools, randomly assigned to intervention or control groups. The intervention group participated in a 90-minute educational session, with follow-up assessments at baseline, and at 1, 3, and 6 months' post-intervention, using validated Arabic questionnaires. Data analysis was performed using SPSS version 22.0, with Generalized Estimating Equations (GEE) applied to assess differences within and between groups over time. Statistical significance was set at P < 0.05.

RESULTS

At baseline, there were no significant differences between groups. Post-intervention, the intervention group showed significantly higher rates of breast self-examination (BSE) and clinical breast examination (CBE) compared to the control group, with adjusted odds ratios (AOR) of 17.51 (CI: 8.22-37.29) for BSE and 2.75 (CI: 1.42-5.32) for CBE. Over six months, BSE performance in the intervention group increased, with AORs improving from 11.01 (CI: 5.05-24.04) to 18.55 (CI: 8.83-38.99). Similarly, CBE uptake rose from 1.60 (CI: 1.02-2.52) to 2.27 (CI: 1.44-3.58). Secondary outcomes revealed significant gains in knowledge and beliefs in the intervention group, including increased confidence in performing BSE and reduced perceived barriers.

CONCLUSIONS

The HBM-based educational intervention effectively enhanced BCS uptake, improved knowledge, and decreased barriers to BCS among Yemeni teachers in Malaysia, highlighting the potential of targeted educational programs to promote cancer screening behaviors in underserved populations.

CLINICAL TRIAL REGISTRATION

Retrospectively registered, ANZCTR (ACTRN12618000173291). Registered on February 02, 2018.

Intraovarian injection of 3D-MSC-EVs-ECM gel significantly improved rat ovarian function after chemotherapy

BACKGROUND

Restoring the function of the ovary is important for chemotherapy-induced ovarian failure (COF) patients. Stem cell and extracellular vesicles (EVs) therapy show promise but need further improvement.

METHODS

Human umbilical cord mesenchymal stem cells (hUC-MSCs) were primarily cultured and further three-dimensional (3D) cultured using an ultra-low attachment surface method. The expression levels of nutritional cytokines and immunomodulatory and stemness-related genes of 3D-cultured hUC-MSCs were analyzed. EVs were isolated by ultracentrifugation and characterized. Ovaries were decellularized with sodium dodecyl sulfate to obtain extracellular matrix (ECM). Lyophilized EVs from three-dimensional (2D) or 3D hUC-MSCs were mixed with ECM to prepare the 2D/3D-MSC-EVs-ECM gels. The therapeutic effect of the MSC-EVs-ECM gel on cyclophosphamide (CTX) -treated rats was analyzed through various tests. RNA sequencing was used to analyze the expression changes of genes before and after treatment.

RESULTS

After culturing in ultra-low attachment dishes, hUC-MSCs aggregated into spheroids and significantly upregulated the expression levels of immunomodulatory and stemness-related genes. The total EVs yield was also upregulated (5.6-fold) after 3D culture. The cell viability of CTX-treated ovarian granulosa cells (OGCs) was significantly rescued by coculture with the 3D-MSC-EVs-ECM gel. Hormones indicative of ovarian function, AMH, E2, and FSH, were recovered in both the CTX + 2D-MSC-EVs-ECM gel group and the CTX + 3D-MSC-EVs-ECM gel group, while the apoptosis-related protein Bax was significantly downregulated. The 3D-MSC-EVs-ECM gel was more effective than the 2D-MSC-EVs-ECM gel. Significantly differentially expressed genes, such as Hbb-b1, Gpd1, and Sirpa, were detected by RNA sequencing. Hbb-b1 was increased in the ovaries of CTX-treated rats, and this increase was attenuated by injecting the 2D/3D-MSC-EVs-ECM gel. Gpd1 was increased after CTX treatment, and this increase was reversed by the 3D-MSC-EVs-ECM gel. Sirpa was decreased in the ovaries of CTX-treated rats, and this decrease was attenuated by injecting the 3D-MSC-EVs-ECM gel.

CONCLUSIONS

Our study demonstrated that the 3D-MSC-EVs-ECM gel is an efficient strategy for the recovery of ovarian function in CTX-induced ovarian failure.

A self-assembled copper-artemisinin nanoprodrug as an efficient reactive oxygen species amplified cascade system for cancer treatment

Chemodynamic therapy (CDT) is a tumor-specific intervention methodology, which is based on the upregulation of reactive oxygen species (ROS) content by triggering the Fenton or Fenton-like reaction within the tumor microenvironment (TME). However, there are still challenges in achieving high-efficiency CDT on account of both the limited intracellular hydrogen peroxide (H2O2) and delivery efficiency of Fenton metal ions. Copper-based nanotherapeutic systems have attracted extensive attention and have been widely applied in the construction of nanotherapeutic systems and multimodal synergistic therapy. Herein, we propose a strategy to synergize chemotherapy drugs that upregulate intracellular ROS content with chemodynamic therapy and construct an artemisinin-copper nanoprodrug for proof-of-concept. With the proposed biomimetic self-assembly strategy, we successfully construct an injectable nanoprodrug with suitable size distribution and high drug loading content (68.1 wt%) through the self-assembly of amphiphilic artemisinin prodrug and copper ions. After reaching the TME, both Cu2+ ions and free AH drugs can be released from AHCu nanoprodrugs. Subsequently, the disassembled Cu2+ ions are converted into Cu+ ions by consuming the intracellular GSH. The generated Cu+ ions serve as a highly efficient Fenton-like reagent for robust ROS generation from both AH and tumor-over-produced H2O2. Results show that the nanoprodrug can realize the cascade amplification of ROS generation via artemisinin delivery and subsequent in situ Fenton-like reaction and a high tumor inhibition rate of 62.48% in vivo. This work provides a promising strategy for the design and development of an efficient nanoprodrug for tumor-specific treatment.

Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?

Some models for mental disorders or behaviors (eg, suicide) have been successfully developed, allowing predictions at the population level. However, current demographic and clinical variables are neither sensitive nor specific enough for making individual actionable clinical predictions. A major hope of the "Decade of the Brain" was that biological measures (biomarkers) would solve these issues and lead to precision psychiatry. However, as models are based on sociodemographic and clinical data, even when these biomarkers differ significantly between groups of patients and control participants, they are still neither sensitive nor specific enough to be applied to individual patients. Technological advances over the past decade offer a promising approach based on new measures that may be essential for understanding mental disorders and predicting their trajectories. Several new tools allow us to continuously monitor objective behavioral measures (eg, hours of sleep) and densely sample subjective measures (eg, mood). The promise of this approach, referred to as digital phenotyping, was recognized almost a decade ago, with its potential impact on psychiatry being compared to the impact of the microscope on biological sciences. However, despite the intuitive belief that collecting densely sampled data (big data) improves clinical outcomes, recent clinical trials have not shown that incorporating digital phenotyping improves clinical outcomes. This viewpoint provides a stepwise development and implementation approach, similar to the one that has been successful in the prediction and prevention of cardiovascular disease, to achieve clinically actionable predictions in psychiatry.

A self-reported symptom-based decision-making model helps to rule out outpatient cases at low risk for CRC before colonoscopy

Objectives

Effective exclusion of low-risk symptomatic outpatient cases for colorectal cancer (CRC) remains diagnostic challenges. We aimed to develop a self-reported symptom-based decision-making model for application in outpatient scenarios.

Methods

In total, 8233 symptomatic cases at risk for CRC, as judged by outpatient physicians, were involved in this study at seven medical centers. A decision-making model was constructed using 60 self-reported symptom parameters collected from the questionnaire. Further internal and external validation cohorts were built to evaluate the discriminatory power of the CRC model. The discriminatory power of the CRC model was assessed by the C-index and calibration plot. After that, the clinical utility and user experience of the CRC model were evaluated.

Results

Nine symptom parameters were identified as valuable predictors used for modeling. Internal and external validation cohorts verified the adequate discriminatory power of the CRC model. In the clinical application step, all 17 physicians found the model easy to grasp, 99.9 % of the patients were satisfied with the survey form. Application of this model detected all CRC cases. The total consistency ratio of outpatient cases undergoing colonoscopy was 81.4 %. None of the low-risk patients defined by the CRC model had been diagnosed with CRC.

Conclusion

This multicenter study developed and validated a simple and user-friendly decision-making model covering self-reported information. The CRC model has been demonstrated to perform well in terms of rapid outpatient decision-making scenarios and clinical utility, particularly because it can better rule out low-risk outpatient cases.

Feasible mechanisms and therapeutic potential of food probiotics to mitigate diabetes‐associated cancers: A comprehensive review and in silico validation

People with diabetes mellitus (DM) and hyperglycemia are linked with cancer risk. Diabetes and cancer have been corroborated by high morbidity and mortality rates. Studies revealed that elevated levels of insulin secretions trigger insulin‐like growth factor 1 (IGF‐1) production. Moreover, IGF‐1 is a key regulator involved in promoting cancer cell progression and is linked with DM. Cancer drug resistance and ototoxic effects can adversely affect the health and lifespan of an individual. However, naturally derived bioactive compounds are gaining attention for their nontoxic properties and specific behavior. Likewise, probiotics have also been regarded as safe and successful alternatives to treat DM‐linked cancers. The present review aims to highlight the therapeutic potential and feasible functions of probiotics to mitigate or inhibit DM‐associated cancers. Meanwhile, the intracellular signaling cascades involved in promoting DM‐linked cancer are enumerated for future prospective research. However, metabolomics interactions and protein–protein interactions are to be discussed for deeper insights into affirmative principles in diabetic‐linked cancers. Drug discovery and innovative preclinical evaluation need further adjuvant and immune‐enhancement therapies. Furthermore, the results of the in silico assessment could provide scientific excellence of IGF‐1 in diabetes and cancer. Overall, this review summarizes the mechanistic insights and therapeutic targets for diabetes‐associated cancer.

Contraception as chemoprevention of ovarian cancer in BRCA1 and BRCA2 women

Ovarian cancer is the seventh most common cancer in women in the world, with an estimated worldwide mortality of over 207'000 women every year. This cancer, due to the current lack of adequate screening techniques, is commonly diagnosed late and has a poor prognosis. The oral contraceptive pill is considered the most effective prevention strategy for ovarian cancer in the general population, being associated with a decreased incidence while also having a substantial positive impact on the mortality rate, which is reduced by up to 50%. BRCA1 and BRCA2 germline mutated women have an augmented risk of ovary and breast cancer: despite international guidelines that consider prophylactic surgery as the gold standard for ovarian cancer prevention, there are currently no effective non-invasive preventive methods. In BRCA1\2 mutated patients, clinicians should weigh the benefits of contraceptive pills against the risk of long-term thromboembolic side effects and hormonal malignancies such as breast and cervical cancer. A multidisciplinary team should counsel patients on the most appropriate risk-reduction strategy tailored to their needs and expectations, proposing the oral contraceptive pill to selected patients after balancing the risks of adverse effects and the benefits on both contraception and chemoprevention.

Implementation of Health IT for Cancer Screening in US Primary Care: Scoping Review

BACKGROUND

A substantial percentage of the US population is not up to date on guideline-recommended cancer screenings. Identifying interventions that effectively improve screening rates would enhance the delivery of such screening. Interventions involving health IT (HIT) show promise, but much remains unknown about how HIT is optimized to support cancer screening in primary care.

OBJECTIVE

This scoping review aims to identify (1) HIT-based interventions that effectively support guideline concordance in breast, cervical, and colorectal cancer screening provision and follow-up in the primary care setting and (2) barriers or facilitators to the implementation of effective HIT in this setting.

METHODS

Following scoping review guidelines, we searched MEDLINE, CINAHL Plus, Web of Science, and IEEE Xplore databases for US-based studies from 2015 to 2021 that featured HIT targeting breast, colorectal, and cervical cancer screening in primary care. Studies were dual screened using a review criteria checklist. Data extraction was guided by the following implementation science frameworks: the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework; the Expert Recommendations for Implementing Change taxonomy; and implementation strategy reporting domains. It was also guided by the Integrated Technology Implementation Model that incorporates theories of both implementation science and technology adoption. Reporting was guided by PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews).

RESULTS

A total of 101 studies met the inclusion criteria. Most studies (85/101, 84.2%) involved electronic health record-based HIT interventions. The most common HIT function was clinical decision support, primarily used for panel management or at the point of care. Most studies related to HIT targeting colorectal cancer screening (83/101, 82.2%), followed by studies related to breast cancer screening (28/101, 27.7%), and cervical cancer screening (19/101, 18.8%). Improvements in cancer screening were associated with HIT-based interventions in most studies (36/54, 67% of colorectal cancer-relevant studies; 9/14, 64% of breast cancer-relevant studies; and 7/10, 70% of cervical cancer-relevant studies). Most studies (79/101, 78.2%) reported on the reach of certain interventions, while 17.8% (18/101) of the included studies reported on the adoption or maintenance. Reported barriers and facilitators to HIT adoption primarily related to inner context factors of primary care settings (eg, staffing and organizational policies that support or hinder HIT adoption). Implementation strategies for HIT adoption were reported in 23.8% (24/101) of the included studies.

CONCLUSIONS

There are substantial evidence gaps regarding the effectiveness of HIT-based interventions, especially those targeting guideline-concordant breast and colorectal cancer screening in primary care. Even less is known about how to enhance the adoption of technologies that have been proven effective in supporting breast, colorectal, or cervical cancer screening. Research is needed to ensure that the potential benefits of effective HIT-based interventions equitably reach diverse primary care populations.

Socioeconomic and cultural factors associated with pap smear screening among French women living in Réunion Island

BACKGROUND

Réunion Island is a French overseas territory located in the southern Indian Ocean, with a challenging socioeconomic and multicultural context. Compared to mainland France, Réunion has an overincidence and overmortality of cervical cancer. In order to investigate these two issues, it is important to evaluate the barriers and potential levers to Pap smear screening among female inhabitants of the island. We aimed to identify the specific socio-demographic factors, cultural factors, and living conditions associated with Pap smear screening in Réunion, with a view to increasing uptake.

METHODS

We conducted a Knowledge Attitude Behavior and Practices (KABP) survey on cervical cancer screening practices among women aged between 25 and 65 years old living in Réunion Island, selected using random digit dialing sampling. Data were collected using Computer Assistant Telephone Interviews. Weighted chi-squared tests and Student's t-tests were used to compare women who had up-to-date Pap smear screening with women who did not. Weighted logistic models were used to identify the factors associated with not having up-to-date screening.

RESULTS

A total of 1000 women were included in the study. Of these, 88.1% had a Pap smear test during the previous three years. Factors independently associated with not being up to date were as follows: aged over 55 (AOR 2.3 [1.2-4.3]), no children (AOR 2.5 [1.4-4.3]), having free universal health coverage (AOR 1.7 [1.1-2.7]), an income per unit consumption lower than 1500€ per month (AOR 2.0 [1.1-3.7]), low health literacy (AOR 2.7 [1.7-4.1]), not consulting a general practitioner in the prior 12 months (AOR 3.6 [2.0-6.5]), and a BMI > 30 (AOR 2.6 [1.5-4.4]).

CONCLUSIONS

This is the first large-scale survey focusing on recommended Pap smear screening uptake in Réunion Island. Although self-reported screening incidence was higher than in mainland France, national screening policies must take into account the island's diverse social and cultural characteristics (e.g., an ageing population, low health literacy), while implementing actions to fight against poverty and increase general access to healthcare.

Point-Of-Care Ultra-Portable Single-Molecule Bioassays for One-Health

Screening asymptomatic organisms (humans, animals, plants) with a high-diagnostic accuracy using point-of-care-testing (POCT) technologies, though still visionary holds great potential. Convenient surveillance requires easy-to-use, cost-effective, ultra-portable but highly reliable, in-vitro-diagnostic devices that are ready for use wherever they are needed. Currently, there are not yet such devices available on the market, but there are a couple more promising technologies developed at readiness-level 5: the Clustered-Regularly-Interspaced-Short-Palindromic-Repeats (CRISPR) lateral-flow-strip tests and the Single-Molecule-with-a-large-Transistor (SiMoT) bioelectronic palmar devices. They both hold key features delineated by the World-Health-Organization for POCT systems and an occurrence of false-positive and false-negative errors <1-5% resulting in diagnostic-selectivity and sensitivity >95-99%, while limit-of-detections are of few markers. CRISPR-strip is a molecular assay that, can detect down to few copies of DNA/RNA markers in blood while SiMoT immunometric and molecular test can detect down to a single oligonucleotide, protein marker, or pathogens in 0.1mL of blood, saliva, and olive-sap. These technologies can prospectively enable the systematic and reliable surveillance of asymptomatic ones prior to worsening/proliferation of illnesses allowing for timely diagnosis and swift prognosis. This could establish a proactive healthcare ecosystem that results in effective treatments for all living organisms generating diffuse and well-being at efficient costs.

Analysis of clinical data of different endometrial pathological types in perimenopausal women with abnormal uterine bleeding

Objective

Early detection and diagnosis are important for improving the therapeutic effect and quality of life in patients with endometrial cancer (EC). This study aimed to analyze the clinical data of different endometrial pathological types in perimenopausal women with abnormal uterine bleeding (AUB) in order to provide evidence for the prevention and early diagnosis of EC.

Methods

A total of 462 perimenopausal women with AUB were enrolled in this prospective observational study. Endometrial biopsy was performed in patients with suspected endometrial lesions. According to the pathological examination results, the patients were divided into endometrial polyp group (EP) (n = 71), endometrial hyperplasia without atypia group (EH) (n = 59), atypical endometrial hyperplasia (AEH) (n = 36), and EC group (n = 27). The history risk factors and ultrasonic imaging characteristics of endometrium among the four groups were compared.

Results

Twenty-seven women were diagnosed with EC (5.84%). The prevalence rate of AEH and EC in the group of 51- to 55-year-old women was significantly higher than that in the groups of 40- to 45-year-old women and of 46- to 50-year-old women (P < 0.05). The age, body mass index, and history of diabetes gradually increased with the development of endometrial pathological types. In addition, the correlation index of endometrial blood flow increased gradually, and the proportion of uneven endometrial echo, unclear endometrial-myometrial junction (EMJ), and ovarian cyst also increased gradually. However, no statistically significant difference was found when comparing endometrial thickness (ET) and endometrial volume (EV) among endometrial pathological groups (P > 0.05). The ET, EV, endometrial vascularization index, endometrial flow index, and vascularization flow index in the ovarian cyst group were significantly higher (P < 0.05), and the proportion of uneven endometrium echo and unclear EMJ were significantly higher compared with that in the non-ovarian cyst group (P < 0.05).

Conclusions

The most common cause of perimenopausal women with AUB was benign endometrial lesions. However, women aged 51-55 years old with endometrial high risk factors and ovarian cyst should be alert to AEH and EC. Endometrial biopsy needs to be performed to determine endometrial malignancy in necessity.

Integrating hybrid transfer learning with attention-enhanced deep learning models to improve breast cancer diagnosis

Cancer, with its high fatality rate, instills fear in countless individuals worldwide. However, effective diagnosis and treatment can often lead to a successful cure. Computer-assisted diagnostics, especially in the context of deep learning, have become prominent methods for primary screening of various diseases, including cancer. Deep learning, an artificial intelligence technique that enables computers to reason like humans, has recently gained significant attention. This study focuses on training a deep neural network to predict breast cancer. With the advancements in medical imaging technologies such as X-ray, magnetic resonance imaging (MRI), and computed tomography (CT) scans, deep learning has become essential in analyzing and managing extensive image datasets. The objective of this research is to propose a deep-learning model for the identification and categorization of breast tumors. The system's performance was evaluated using the breast cancer identification (BreakHis) classification datasets from the Kaggle repository and the Wisconsin Breast Cancer Dataset (WBC) from the UCI repository. The study's findings demonstrated an impressive accuracy rate of 100%, surpassing other state-of-the-art approaches. The suggested model was thoroughly evaluated using F1-score, recall, precision, and accuracy metrics on the WBC dataset. Training, validation, and testing were conducted using pre-processed datasets, leading to remarkable results of 99.8% recall rate, 99.06% F1-score, and 100% accuracy rate on the BreakHis dataset. Similarly, on the WBC dataset, the model achieved a 99% accuracy rate, a 98.7% recall rate, and a 99.03% F1-score. These outcomes highlight the potential of deep learning models in accurately diagnosing breast cancer. Based on our research, it is evident that the proposed system outperforms existing approaches in this field.

Quantitative risk factor analysis of prior disease condition and socioeconomic status with the multiple myeloma development: nationwide cohort study

Early diagnosis and following management are important determinants of the prognosis of multiple myeloma (MM). However, screening for MM is not routinely performed because it is rare disease. In this study, we evaluated the association of prior disease condition and socioeconomic status (SES) with MM diagnosis and developed a simple predictive model that can identify patients at high risk of developing MM who may need screening using nationwide database from South Korea. According to multivariate logistic regression analysis, eight prior disease conditions and SES before diagnosis were shown to be predictors of MM development and selected for score development. Total prediction scores were categorized into four groups: patients without any risk (≤ 0) intermediate-1 (0.5-9), intermediate-2 (9-14), and high risk (> 14). The odds ratios for developing MM in the intermediate-1, intermediate-2, and high-risk groups were 1.29, 3.07, and 4.62, respectively. The association of prior disease conditions and SES with MM diagnosis were demonstrated and the simple scoring system to predict the MM risk was developed. This scoring system is also provided by web-based application and could be a useful tool to support clinicians in identifying potential candidates for MM screening.

A clinical marker-based modeling framework to preoperatively predict lymph node and vascular space involvement in endometrial cancer patients

INTRODUCTION

Endometrial cancer (EC) has high mortality at advanced stages. Poor prognostic factors include grade 3 tumors, deep myometrial invasion, lymph node metastasis (LNM), and lymphovascular space invasion (LVSI). Preoperative knowledge of patients at higher risk of lymph node involvement, when such involvement is not suspected, would benefit surgery planning and patient prognosis. This study implements an ensemble machine learning approach that evaluates Cancer Antigen 125 (CA125) along with histologic type, preoperative grade, and age to predict LVSI, LNM and stage in EC patients.

METHODS

A retrospective chart review spanning January 2000 to January 2015 at a regional hospital was performed. Women 18 years or older with a diagnosis of EC and preoperative or within one-week CA125 measurement were included (n = 842). An ensemble machine learning approach was implemented based on a stacked generalization technique to evaluate CA125 in combination with histologic type, preoperative grade, and age as predictors, and LVSI, LNM and disease stage as outcomes.

RESULTS

The ensemble approach predicted LNM and LVSI in EC patients with AUROCTEST of 0.857 and 0.750, respectively, and predicted disease stage with AUROCTEST of 0.665. The approach achieved AUROCTEST for LVSI and LNM of 0.750 and 0.643 for grade 1 patients, and of 0.689 and 0.952 for grade 2 patients, respectively.

CONCLUSION

An ensemble machine learning approach offers the potential to preoperatively predict LVSI, LNM and stage in EC patients with adequate accuracy based on CA125, histologic type, preoperative grade, and age.

Barriers and facilitators of shared decision-making in prostate cancer screening in primary care: A systematic review

Objective

To identify barriers and facilitators of the implementation of shared decision-making (SDM) on PSA testing in primary care.

Design

Systematic review of articles.

Data sources

PubMed, Scopus, Embase and Web of Science.

Eligibility criteria

Original studies published in English or Spanish that assessed the barriers to and facilitators of SDM before PSA testing in primary care were included. No time restrictions were applied.

Data extraction and synthesis

Two review authors screened the titles, abstracts and full texts for inclusion, and assessed the quality of the included studies. A thematic synthesis of the results were performed and developed a framework. Quality assessment of the studies was based on three checklists: STROBE for quantitative cross-sectional studies, GUIDED for intervention studies and SRQR for qualitative studies.

Results

The search returned 431 articles, of which we included 13: five cross-sectional studies, two intervention studies, five qualitative studies and one mixed methods study. The identified barriers included lack of time (healthcare professionals), lack of knowledge (healthcare professionals and patients), and preestablished beliefs (patients). The identified facilitators included decision-making training for professionals, education for patients and healthcare professionals, and dissemination of information.

Conclusions

SDM implementation in primary care seems to be a recent field. Many of the barriers identified are modifiable, and the facilitators can be leveraged to strengthen the implementation of SDM.

Circulating lung cancer biomarkers: From translational research to clinical practice

Fundamental studies on biomarkers as well as developed assays for their detection can provide valuable information facilitating clinical decisions. For patients with lung cancer, there are established circulating biomarkers such as serum progastrin-releasing peptide (ProGRP), neuron-specific enolase (NSE), squamous cell carcinoma antigen (SCC-Ag), carcinoembryonic antigen (CEA), and cytokeratin-19 fragment (CYFRA21-1). There are also molecular biomarkers for targeted therapy such as epidermal growth factor receptor (EGFR) gene, anaplastic lymphoma kinase (ALK) gene, KRAS gene, and BRAF gene. However, there is still an unmet need for biomarkers that can be used for early detection and predict treatment response and survival. In this review, we describe the lung cancer biomarkers that are currently being used in clinical practice. We also discuss emerging preclinical and clinical studies on new biomarkers such as omics-based biomarkers for their potential clinical use to detect, predict, or monitor subtypes of lung cancer. Additionally, between-method differences in tumor markers warrant further development and improvement of the standardization and harmonization for each assay.

Cancer Screening for Transgender Individuals: Guidelines, Best Practices, and a Proposed Care Model

Few transgender-specific cancer screening recommendations exist. This review aims to cover current guidelines and practice patterns of cancer screening in transgender patients and, where evidence-based data are lacking, to draw from cisgender screening guidelines to suggest best practices for transgender patients based on anatomic inventory. Sufficient evidence does not exist to determine the long-term effects of gender-affirming hormone therapy on cancer risk. In the future, cancer screening and prevention should be focused on anatomic inventory and high-risk behaviors.

Rehabilitation Exercises Supported by Monitor-Augmented Reality for Patients with High-Grade Glioma Undergoing Radiotherapy: Results of a Randomized Clinical Trial

BACKGROUND

Exercise has been shown to improve quality of life (QoL) and even treatment outcomes in cancer patients. However, the evidence to support the benefits of exercise in patients with high-grade glioma (HGG) is limited. Therefore, we performed a randomized clinical trial (RCT) to examine the effect of augmented-reality-based rehabilitation exercises on physical and functional fitness, cognitive function, fatigue, mood, QoL, selected blood parameters, brain derived neurotrophic factor (BDNF), and S100 protein in patients with HGG.

METHODS

Adult patients with HGG scheduled to undergo radiotherapy after tumor resection were randomized to participate in an exercise program (experimental group, n = 25) or to receive usual care (controls, n = 22). Physical and mental fitness was measured at baseline, after the completion of radiotherapy, and at 3 months. The following tests were administered: Handgrip Strength Test; 6-Minute Walk Test; Time Up and Go test; Functional Independent Measure scale; Addenbrooke's Cognitive Examination III (ACE III); Hospital Anxiety and Depression Scale; Functional Cancer Therapy Assessment-Brain; and Functional Assessment of Chronic Illness Therapy-Fatigue. We also measured blood parameters, BDNF, and S100 protein levels.

RESULTS

No significant changes were observed in the exercise group. However, the controls experienced a significant decrease in HGS and in the ACE III attention domain. No significant changes were observed in QoL, fatigue, BDNF, or S100 levels in either group.

CONCLUSIONS

Augmented-reality-based exercise during radiation therapy may prevent loss of muscle strength and attention in patients with HGG.

Discovery of potential biomarkers for lung cancer classification based on human proteome microarrays using Stochastic Gradient Boosting approach

PURPOSE

Early identification of lung cancer (LC) will considerably facilitate the intervention and prevention of LC. The human proteome micro-arrays approach can be used as a "liquid biopsy" to diagnose LC to complement conventional diagnosis, which needs advanced bioinformatics methods such as feature selection (FS) and refined machine learning models.

METHODS

A two-stage FS methodology by infusing Pearson's Correlation (PC) with a univariate filter (SBF) or recursive feature elimination (RFE) was used to reduce the redundancy of the original dataset. The Stochastic Gradient Boosting (SGB), Random Forest (RF), and Support Vector Machine (SVM) techniques were applied to build ensemble classifiers based on four subsets. The synthetic minority oversampling technique (SMOTE) was used in the preprocessing of imbalanced data.

RESULTS

FS approach with SBF and RFE extracted 25 and 55 features, respectively, with 14 overlapped ones. All three ensemble models demonstrate superior accuracy (ranging from 0.867 to 0.967) and sensitivity (0.917 to 1.00) in the test datasets with SGB of SBF subset outperforming others. The SMOTE technique has improved the model performance in the training process. Three of the top selected candidate biomarkers (LGR4, CDC34, and GHRHR) were highly suggested to play a role in lung tumorigenesis.

CONCLUSION

A novel hybrid FS method with classical ensemble machine learning algorithms was first used in the classification of protein microarray data. The parsimony model constructed by the SGB algorithm with the appropriate FS and SMOTE approach performs well in the classification task with higher sensitivity and specificity. Standardization and innovation of bioinformatics approach for protein microarray analysis need further exploration and validation.

EZH2 Expression and Survival for ER+/tamoxifen Treated Breast Cancer Patients with rs2302427 C>G: A Novel Prognostic and Risk Predictive Biomarker

BACKGROUND AND OBJECTIVES

Overexpression of the EZH2 gene silences several genes involved in DNA repair, cell-cell adhesion, and tumor suppressor genes, resulting in the development of several types of cancers. In the present study, a genetic polymorphism analysis was performed by selecting three SNPs (rs.2302427C>G, rs.3757441C>T, and rs.6950683T>C) of the EZH2 gene based on our previous in silico studies.

METHODS

A total of 250 breast cancer patients and 250 healthy individuals were recruited for the study. Patients with pre-operative breast cancer with different clinical-pathological variables and age-matched healthy women were recruited for the EZH2 gene expression analysis.

RESULTS

The genetic polymorphism analysis revealed two SNPs (rs.2302427C>G and rs.6950683T>C) of the three studied SNPs of the EZH2 gene have a protective role in all three genetic models. The haplotype analysis predicted that two haplotypes ACGT and ACGC were significantly associated with a lower risk of breast cancer.

INTERPRETATION AND CONCLUSIONS

Three significant findings of the SNP rs.2302427C>G (Asp193His) i.e., protective role against breast cancer, survival advantage in ER+/tamoxifen treated breast cancer patients, and decreased expression due to the presence of mutant GG genotype, suggests considering it as an important prognostic biomarker for a good survival outcome of breast cancer patients treated with ER+/tamoxifen. Compared with other studies, the other SNP rs.3757441T>C was observed to have a protective effect in breast cancer biology but plays an antagonistic role in colorectal cancer (CRC) biology. To our knowledge, this is the first detailed study on computationally validated EZH2 SNPs in breast cancer.

CA125 Levels in BRCA mutation carriers - a retrospective single center cohort study

BACKGROUND

Ovarian cancer screening in BRCA1/2 mutation carriers utilizes assessment of carbohydrate antigen 125 (CA125) and transvaginal ultrasound (TVU), despite low sensitivity and specificity. We evaluated the association between CA125 levels, BRCA1/2 mutation status and menopausal status to provide more information on clinical conditions that may influence CA125 levels.

METHODS

We retrospectively analyzed repeated measurements of CA125 levels and clinical data of 466 women at high risk for ovarian cancer. CA125 levels were compared between women with and without deleterious mutations in BRCA1/2. Pearson's correlation was used to determine the association between age and CA125 serum level. Differences in CA125 levels were assessed with the Mann-Whitney U test. The effect of BRCA1/2 mutation status and menopausal status on the change in CA125 levels was determined by Two-factor analysis of variance (ANOVA).

RESULTS

The CA125 serum levels of premenopausal women (median, 13.8 kU/mL; range, 9.4 - 19.5 kU/mL) were significantly higher than in postmenopausal women (median, 10.4 kU/mL; range, 7.7 - 14.0 kU/mL; p < .001). There was no significant difference in the CA125 levels of BRCA mutation carriers and non-mutation carriers across all age groups (p = .612). When investigating the combined effect of BRCA1/2 mutation and menopausal status, variance analysis revealed a significant interaction between BRCA1/2 mutation status and menopausal status on CA125 levels (p < .001). There was a significant difference between the CA125 levels of premenopausal and postmenopausal women, with a large effect in BRCA mutation carriers (p < .001, d = 1.05), whereas in non-mutation carriers there was only a small effect (p < .001, d = 0.32).

CONCLUSION

Our findings suggest that hereditary mutations in BRCA1/2 affect the decline of CA125 levels with increasing age. To prove a definite effect of this mutation on the CA125 level, prospective trials need to be conducted to define new cut-off levels of CA 125 in mutation carriers and optimize ovarian cancer screening.

Innovations in healthcare delivery: Human papilloma virus self sampling diagnostics and participatory innovations for CCS

BACKGROUND

Human papillomavirus (HPV) infection is a major contributor to the development of cervical cancer, resulting in over 500,000 cases and 266,000 deaths annually worldwide. Previous cervical cancer screening programs have been successful in reducing cervical cancer rates, but have faced challenges such as low acceptance and adherence rates. Innovations in screening technology, such as the HerSwab self-sampling test, have the potential to increase awareness, acceptance, and participation in cervical cancer screening programs.

AIM

This literature review examines the effectiveness of HerSwab and participatory innovations in increasing adherence to cervical cancer screening.

METHOD

This manuscript comprised a comprehensive narrative literature review encompassing the years 2006-2022. The review process adhered to the PRISMA diagram as a guiding framework. Among the search terms utilized, a total of 200 articles were initially retrieved. However, after applying the predefined inclusion criteria, only 57 articles were included.

RESULTS

The HerSwab self-sampling test is described, including how it is performed, challenges, and facilitators, and evaluation and assessment of its effectiveness. While the HerSwab diagnostic test is not currently widely available, studies should assess its feasibility in less developed countries where cervical cancer mortality rates are high.

CONCLUSION

By increasing awareness and availability of innovative screening techniques, such as HerSwab, we can work toward reducing the incidence of cervical cancer and improving outcomes for women worldwide.

Epidemiology, Risk Factors, and Prevention of Head and Neck Squamous Cell Carcinoma

Head and neck squamous cell carcinoma (HNSCC) is a group of malignancies, involving the oral cavity, pharynx, hypopharynx, larynx, nasal cavity, and salivary glands, that together compose the seventh most common cancer diagnosis worldwide. With 890,000 new cases and 450,000 deaths annually per GLOBOCAN estimates, HNSCC accounts for roughly 4.5% of cancer diagnoses and deaths. In the developing world, the incidence of HNSCC is growing with increasing consumption of tobacco (smoked or chewed), alcohol, and areca nut (betel quid). Alcohol and tobacco have a synergistic effect, with the heavy consumption of both increasing HNSCC risk 40-fold. In developed nations, HPV-related HNSCC surpasses tobacco- and alcohol-related disease. HPV-related HNSCC more commonly affects the oropharynx, hypopharynx, and larynx than the oral cavity, and is associated with a significantly longer median survival (130 months vs. 20 months). Discrepancies in etiology as well as disparities in lifestyle choices and access to healthcare may account for the greater incidence and poorer survival of HNSCC among minority and lower-socioeconomic-status communities in developed nations. Pharmacotherapy and counseling together have been shown to be effective in promoting smoking and alcohol cessation. Education on cancer risk and community engagement have reduced areca nut consumption in Asia as well as in diaspora communities. HPV vaccination, starting at age 11-12 for both sexes, has been shown to reduce the prevalence of high-risk HPV serologies and prevent pre-cancerous lesions of the cervix, vagina, and vulva. As of 2020, 58.6% of eligible adolescents in the US have received the full two-vaccine series. Increased adoption of vaccination, education on safe sex practices, and routine visual oral screening for high-risk patients would curb growing HNSCC incidence in developed nations.

Label-free immunosensing of telomerase using bio-conjugation of biotinylated antibody to poly(chitosan) gold nanoparticles

Aim: This study aimed to establish a label-free electrochemical biosensor for telomerase detection in human biofluid. Method: Synthesized green nanocomposite (poly[chitosan] decorated by gold nanoparticles) was used for the efficient immobilization of biotinylated antibody of telomerase and immunocomplex of antigen-antibody. Poly(chitosan) was decorated by gold nanoparticles on the surface of a glassy carbon electrode using an electrochemical coating technique. Results: The constructed immunosensor exhibited wide dynamic range (0.078-160 IU/ml-1) with a low limit of quantification of 0.078 IU/ml-1, which present a unique manner for telomerase assays in early prognosis for cancers. Conclusion: This study encourages scientists and scholars to design and develop new biosensor platforms for point-of-care diagnostics for telomerase management, an interesting reference for future research.

Women 75 Years Old or Older: To Screen or Not to Screen?

Breast cancer is the most common cancer in women, with the incidence rising substantially with age. Older women are a vulnerable population at increased risk of developing and dying from breast cancer. However, women aged 75 years and older were excluded from all randomized controlled screening trials, so the best available data regarding screening benefits and risks in this age group are from observational studies and modeling predictions. Benefits of screening in older women are the same as those in younger women: early detection of smaller lower-stage cancers, resulting in less invasive treatment and lower morbidity and mortality. Mammography performs significantly better in older women with higher sensitivity, specificity, cancer detection rate, and positive predictive values, accompanied by lower recall rates and false positives. The overdiagnosis rate is low, with benefits outweighing risks until age 90 years. Although there are conflicting national and international guidelines about whether to continue screening mammography in women beyond age 74 years, clinicians can use shared decision making to help women make decisions about screening and fully engage them in the screening process. For women aged 75 years and older in good health, continuing annual screening mammography will save the most lives. An informed discussion of the benefits and risks of screening mammography in older women needs to include each woman's individual values, overall health status, and comorbidities. This article will review the benefits, risks, and controversies surrounding screening mammography in women 75 years old and older and compare the current recommendations for screening this population from national and international professional organizations. ^©RSNA, 2023 Quiz questions for this article are available through the Online Learning Center.

Influenza season influence on outcome of new nodules in the NELSON study

We evaluated the impact of the influenza season on outcome of new lung nodules in a LDCT lung cancer screening trial population. NELSON-trial participants with ≥ 1 new nodule detected in screening rounds two and three were included. Outcome (resolution or persistence) of new nodules detected per season was calculated and compared. Winter (influenza season) was defined as 1st October to 31st March, and compared to the summer (hay-fever season), 1st April to 30th September. Overall, 820 new nodules were reported in 529 participants. Of the total new nodules, 482 (59%) were reported during winter. When considering the outcome of all new nodules, there was no statistically significant association between summer and resolving nodules (OR 1.07 [CI 1.00-1.15], p = 0.066), also when looking at the largest nodule per participant (OR 1.37 [CI 0.95-1.98], p = 0.094). Similarly, there was no statistically significant association between season and screen detected cancers (OR 0.47 [CI 0.18-1.23], p = 0.123). To conclude, in this lung cancer screening population, there was no statistically significant association between influenza season and outcome of new lung nodules. Hence, we recommend new nodule management strategy is not influenced by the season in which the nodule is detected.

Human Papilloma Virus: An Unraveled Enigma of Universal Burden of Malignancies

HPV, or Human Papilloma Virus, has been the primary causative agent of genital warts and cervical cancer worldwide. It is a sexually transmitted infection mainly affecting women of reproductive age group, also infecting men and high-risk group individuals globally, resulting in high mortality. In recent years, HPV has also been found to be the major culprit behind anogenital cancers in both gender and oropharyngeal and colorectal cancers. Few studies have reported the incidence of HPV in breast cancers as well. For a few decades, the burden of HPV-associated malignancies has been increasing at an alarming rate due to a lack of adequate awareness, famine vaccine coverage and hesitancy. The effectiveness of currently available vaccines has been limited to prophylactic efficacy and does not prevent malignancies associated with post-exposure persistent infection. This review focuses on the current burden of HPV-associated malignancies, their causes and strategies to combat the growing prevalence of the cancers. With the advent of new technologies associated with treatment pertaining to therapeutic interventions and employing effective vaccine coverage, the burden of this disease may be reduced in the population.

Potential Role of Fourier Transform Infrared Spectroscopy as a Screening Approach for Breast Cancer

Breast cancer is a heterogeneous disease, and its spread involves a succession of clinical and pathological stages. Screening is predominantly based on mammography, which has critical limitations related to the effectiveness and production of false-positive or false-negative results, generating discomfort and low adherence. In this context, infrared with attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy emerges as a non-destructive sample tool, which is non-invasive, label-free, has a low operating-cost, and requires only a small amount of sample, including liquid plasma samples. We sought to evaluate the clinical applicability of ATR FT-IR in breast cancer screening. ATR FT-IR spectroscopy through its highest potential spectral biomarker could distinguish, by liquid plasma biopsy, breast cancer patients and healthy controls, obtaining a sensitivity of 97%, specificity of 93%, a receiver operating characteristic ROC curve of 97%, and a prediction accuracy of 94%. The main variance between the groups was mainly in the band 1511 cm^-1 of the control group, 1502 and 1515 cm^-1 of the cancer group, which are the peaks of the bands referring to proteins and amide II. ATR FT-IR spectroscopy has demonstrated to be a promising tool for breast cancer screening, given its time efficiency, cost of approach, and its high ability to distinguish between the liquid plasma samples of breast cancer patients and healthy controls.

Optimization of screening strategies for colorectal cancer based on fecal DNA and occult blood testing

BACKGROUND

Fecal DNA and occult blood testing have been gradually developed for colorectal cancer (CRC) screening. Comparison of different testing strategies for these methods in CRC screening is in urgent need. This study aims to examine the efficacy of different testing strategies including multi-target fecal DNA testing, qualitative and quantitative fecal immunoassay tests (FITs).

METHODS

Fecal samples were collected from patients diagnosed by colonoscopy. Tests using fecal DNA, quantitative FIT or qualitative FIT were performed on same fecal samples. Efficiency of different testing strategies within different populations was investigated.

RESULTS

For high-risk populations (CRC and advanced adenoma), the positive rate of the three methods alone was 74.3-80%; the positive predictive values (PPVs) ranged from 37.3% to 77.8%, and the negative predictive values (NPVs) ranged from 86.3% to 92.2%. For combined testing strategies, the positive rate was 71.4-88.6%, PPVs ranged from 38.3% to 86.2%, and NPVs ranged from 89.6% to 92.9%. Parallel fecal multi-target DNA test and quantitative FIT appears to be superior when using a combined testing strategy. For the normal population, no significant difference was identified in efficacy between these methods when used alone and in combination.

CONCLUSIONS

Single testing strategy among the three methods is more suitable for the general population screening, and the combined testing strategy is more suitable for high-risk populations screening. The use of different combination strategies may have superiority in CRC high-risk population screening, but cannot conclude significant differences which may be attributed to the small sample size, large samples controlled trials are needed.

Predictive factors based on the health belief model on cancer screening behaviour in first degree relatives of patients with Lynch syndrome-associated colorectal cancer

Objectives

This study aimed to investigate colorectal cancer-related knowledge, health beliefs, and screening behaviour in first-degree relatives (FDRs) of patients with Lynch syndrome-associated colorectal cancer (CRC) and explore the predictive factors of screening behaviour based on a health belief model.

Methods

This cross-sectional study was conducted in the colorectal department of a Class A tertiary hospital in Guangzhou from December 2017 to December 2019. A total of 265 FDRs of 96 patients with Lynch syndrome-related CRC were selected. The study was conducted in the colorectal department of a tertiary cancer centre in Guangzhou. The demographic questionnaire, the simplified CRC knowledge questionnaire, and the Champion's Health Belief Model Scale were used for evaluation. Data were analyzed using statistical description, between-group comparisons, and binary logistic regression.

Results

A total of 160 (60.4%), 61 (23.0%), and 44 (16.6%) of the participants had high, medium, and low levels of knowledge about CRC, respectively; the average overall score of health belief was 121.36 ± 13.02. Sixty-one participants (23.0%) underwent Lynch syndrome-associated cancer screening. The predictive factors of screening behaviour included sex (male), age (older), married status (married), multiple primary cancers of the index patients, and high levels of knowledge and health beliefs (P < 0.05).

Conclusions

The knowledge and health beliefs of cancer and cancer screening in FDRs of patients with Lynch syndrome-associated CRC should be improved. Both knowledge and beliefs are critical in promoting their cancer screening behaviour. Interventions should focus on health education and enhance health beliefs of the FDRs for better screening behaviour.

Knowledge of Human Papillomavirus and Cervical Cancer Among Low-Income Women in New Jersey

OBJECTIVES

Although much research has been conducted on knowledge and awareness of the connection between human papillomavirus (HPV) and cervical cancer risk among university students, few studies have examined these associations among low-income populations. We examined knowledge of HPV and cervical cancer risk among racially and ethnically diverse low-income women.

METHODS

We used a cross-sectional study design to recruit and interview 476 low-income women in New Jersey from November 1, 2013, through February 28, 2016. We used multivariate logistic regression to determine whether knowledge of HPV and its association with cervical cancer risk differed by race and ethnicity.

RESULTS

Compared with non-Hispanic White women, Hispanic (odds ratio [OR] = 0.37; 95% CI, 0.18-0.77) and non-Hispanic Black (OR = 0.38; 95% CI, 0.19-0.77) women were significantly less likely to report having heard of HPV. Of women who had ever heard of HPV (n = 323), non-Hispanic Black women were significantly less likely (OR = 0.44; 95% CI, 0.21-0.89) than non-Hispanic White women to report knowing that HPV can be associated with cervical cancer.

CONCLUSIONS

Given the higher rates of HPV infection among non-Hispanic Black and Hispanic women, these results suggest a need to improve education about risks of HPV among low-income populations. These messages need to include information on the connection between HPV and cervical cancer and must be provided in culturally and linguistically appropriate ways.

IsoPSA Performance Characteristics are Unaffected by 5-Alpha Reductase Inhibitors or Alpha-Blockers: Results From the IsoPSA Validation Study

OBJECTIVE

To. determine the impact of 5-α reductase inhibitors or α-blockers on IsoPSA performance for the detection of actionable prostate cancer.

MATERIALS AND METHODS

This is a secondary analysis of data from an institutional review board approved, prospective, multicenter(8-sites) study evaluating IsoPSA in men ≥ 50 years of age with a total PSA ≥ 4 ng/mL with planned prostate biopsy who met previously described inclusion and exclusion criteria. Analytic groups included (i)all subjects, (ii-iii)+/- 5-ARI use, (iv-v)+/- α-blocker use. The performance characteristics of IsoPSA in these groups were assessed by ROC curve, sensitivity, and specificity (SP) analysis.

RESULTS

A total of 1385 men were recruited with 888 men included in final analysis. Actionable prostate cancer, defined as GG2+, was identified in a total of 316 patients with 40 and 217 patients reporting 5-ARI and α-blocker use respectively. Sensitivity to detect both prostate cancer and actionable cancer was similar between patient subsets (P >.05). SP was similar between patients regardless of 5-ARI(P >.05). Increased SP was noted in patients on α-blockers(GG1+: No-α-blocker: 0.360 vs α-blocker: 0.529, P <.05; GG2+: No-α-blocker: 0.40 vs α-blocker: 0.61, P <.05). ROC analysis demonstrates that IsoPSA performance is unaffected by 5-ARI or α-blocker use for prostate cancer and actionable cancer (GG2+) detection.

CONCLUSION

The performance of IsoPSA for detecting any prostate cancer and clinically actionable prostate cancer is unaffected by commonly used medications (5-ARI and α-blockers) for symptoms of benign prostatic hyperplasia.

Young Age on Starting Prostate-specific Antigen Testing Is Associated with a Greater Reduction in Prostate Cancer Mortality: 24-Year Follow-up of the Göteborg Randomized Population-based Prostate Cancer Screening Trial

BACKGROUND

The risk of death from prostate cancer (PC) depends on age, but the age at which to start prostate-specific antigen (PSA) screening remains uncertain.

OBJECTIVE

To study the relationship between risk reduction for PC mortality and age at first PSA screening.

DESIGN, SETTING, AND PARTICIPANTS

The randomized Göteborg-1 trial invited men for biennial PSA screening between the ages of 50 and 70 yr (screening, n = 10 000) or no invitation but exposure to opportunistic PSA testing (control, n = 10 000).

INTERVENTION

Regular versus opportunistic PSA screening or no PSA.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

We modeled the nonlinear association between starting age and the absolute risk reduction in PC mortality in three settings: (1) intention-to-screen (randomized arms); (2) historical control (screening group and 1990-1994 registry data); and (3) attendees only (screening attendees and matched controls). We tested whether the effect of screening on PC mortality depends on the age at starting screening by comparing survival models with and without an interaction between trial arm and age (intention-to-screen and attendees only).

RESULTS AND LIMITATIONS

Younger age on starting PSA testing was associated with a greater reduction in PC mortality. Starting screening at age 55 yr approximately halved the risk of PC death compared to first PSA at age 60 yr. The test of association between starting age and the effect of screening on PC mortality was slightly greater than the conventional level of statistical significance (p = 0.052) for the entire cohort, and statistically significant among attendees (p = 0.002). This study is limited by the low number of disease-specific deaths for men starting screening before age 55 yr and the difficulty in discriminating between the effect of starting age and screening duration.

CONCLUSIONS

Given that prior screening trials included men aged up to 70 yr on starting screening, our results suggest that the effect size reported in prior trials underestimates that of currently recommended programs starting at age 50-55 yr.

PATIENT SUMMARY

In this study from the Göteborg-1 trial, we looked at the effect of prostate-specific antigen (PSA) screening in reducing men's risk of dying from prostate cancer given the age at which they begin testing. Starting at a younger age reduced the risk of prostate cancer death by a greater amount. We recommend that PSA screening should start no later than at age 55 yr.

Imaging Recommendations for Diagnosis, Staging, and Management of Ovarian and Fallopian Tube Cancers

Ovarian malignancy the third most common gynecological malignancy and is the leading cause of death in women. Non-specific clinical presentation delays the diagnosis, and they often present in the advanced stage of disease. No imaging modality is recommended for screening as there is no significant mortality reduction. Ultrasound (USG) is usually the initial modality in suspected ovarian mass. MRI is recommended for the characterization of indeterminate ovarian or adnexal mass on USG. CT abdomen and pelvis with oral and IV contrast is the recommended imaging modality in staging the disease, predicting the resectability and in selecting the patients who would benefit from neoadjuvant chemotherapy. Early ovarian cancers are staged by post-surgical histology and undergo upfront surgery. Advanced disease benefit by neoadjuvant chemotherapy and less morbidity by interval cytoreduction where image-guided biopsy is performed for histological diagnosis. Follow-up recommendations are based on tumor histology. CT/PET CT is recommended for diagnosing recurrence.

Impact of coronavirus disease 2019 on the number of newly diagnosed cancer patients and examinations and surgeries performed for cancer in Japan: a nationwide study

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has rapidly and dramatically influenced healthcare across Japan. However, the influence of the COVID-19 pandemic on the number of newly diagnosed cancer, surgical treatment, and diagnostic examination for cancer types have not been completely investigated all over Japan. This study aimed to analyze the number of cases before and during the COVID-19 pandemic.

METHODS

This retrospective study was a survey that asked to provide the number of cases diagnosed with gastric, colorectal, lung, breast, and cervical cancer between January 2019 and December 2020. The survey was sent to tertiary healthcare hospitals, including national cancer institutions, university hospitals, and general hospitals, all over Japan. Data obtained from 105 of 486 surveyed hospitals were evaluated, and the number of cases in each quarter in 2020 was compared with that in the equivalent quarter in 2019.

RESULTS

In the second quarter (Q2), significant reductions were observed in the median number of newly diagnosed cases from 2019 to 2020: gastric cancer, 26.7% (43 vs. 32, p <  0.001); colorectal cancer, 17.9% (52 vs. 40, p <  0.001); lung cancer, 12.3% (53.5 vs. 47, p <  0.001); and breast cancer, 13.1% (43 vs. 35.5, p <  0.001). A significant reduction of 11.4% (9 vs. 8, p = 0.03) was observed in the third quarter (Q3) for cervical cancer. In Q2, the number of cases decreased by 30.9% (25 vs. 15, p <  0.001) for stage I gastric cancer, by 27.3% (12 vs. 9, p <  0.001) for stage I colorectal cancer, and by 17.6% (13 vs. 10, p <  0.001) for stage II breast cancer. The magnitude of reduction was significant for the localized stages of gastric, colorectal, and breast cancer according to diagnostic examinations in Q2 and surgical and endoscopic treatment in Q3 rather than that for lung or cervical cancer.

CONCLUSIONS

COVID-19 has prolonged collateral effects on cancer care, including examination, diagnosis, and surgery, with significant effects on gastric cancer, followed by colorectal, lung, breast, and cervical cancer in Japan.

The Influence of Asian Subgroup and Acculturation on Colorectal Cancer Screening Knowledge and Attitudes Among Chinese and Korean Americans

Understanding how knowledge and attitudes about colorectal cancer (CRC) screening differs among Asian immigrants is important for informing targeted health interventions aimed at preventing and treating CRC in this diverse population. This study examines how Asian subgroup and acculturation are associated with CRC knowledge and attitudes among Chinese and Korean immigrants in the United States (U.S.). Data come from the baseline survey of a randomized controlled trial to increase CRC screening among Chinese and Korean American immigrants living in the Baltimore-Washington DC Metropolitan Area (n = 400). We use linear regression to examine how Asian subgroup, time in the U.S., English-speaking proficiency, and ethnic identity are associated with CRC knowledge and screening attitudes, accounting for demographic variables, socioeconomic status, and health insurance status. Results show that greater socioeconomic status was associated with higher CRC knowledge, and socioeconomic status explained more of the variance in CRC knowledge than acculturation factors. Additionally, attitudes varied by Asian subgroup, with Chinese reporting lower CRC screening salience, worry, response efficacy, and social influence compared to Koreans. Findings suggest that in-language interventions aimed at increasing CRC knowledge and capitalizing on attitudes about screening can help to bridge disparities in CRC screening by socioeconomic status and country of origin. We discuss implications for future interventions to increase CRC screening uptake among Chinese and Korean immigrants in the U.S.

Glycoproteomics revealed novel N-glycosylation biomarkers for early diagnosis of lung adenocarcinoma cancers

Circulating biomarkers play important roles in diagnosis of malignant tumors. N-glycosylation is an important post-translation patter and obviously affect biological behaviors of malignant tumor cells. However, the role of N-glycosylation sites in early diagnosis of tumors still remains further investigation. In this study, plasma from 20 lung adenocarcinoma (LUAD), which were all classified as stage I, as well as 20 normal controls (NL) were labeled and screened by mass spectrometry (MS). Total 39 differential N-glycosylation sites were detected in LUAD, 17 were up-regulated and 22 were down-regulated. In all differential sites, ITGB3-680 showed highest potential in LUAD which showed 99.2% AUC, 95.0% SP and 95.0% SN. Besides, APOB-1523 (AUC: 89.0%, SP: 95.0%, SN: 70.0%), APOB-2982 (AUC: 86.8%, SP: 95.0%, SN: 45.0%) and LPAL2-101 (AUC: 81.1%, SP: 95.0%, SN: 47.4%) also acted as candidate biomarkers in LUAD. Combination analysis was then performed by random forest model, all samples were divided into training group (16 cases) and testing group (4 cases) and conducted by feature selection, machine learning, integrated model of classifier and model evaluation. And the results indicated that combination of differential sites could reach 100% AUC in both training and testing group. Taken together, our study revealed multiple N-glycosylation sites which could be applied as candidate biomarkers for early diagnosis diagnosis of LUAD.

Cost-Effectiveness Analysis of Prostate Cancer Screening in the UK: A Decision Model Analysis Based on the CAP Trial

BACKGROUND AND OBJECTIVE

Most guidelines in the UK, Europe and North America do not recommend organised population-wide screening for prostate cancer. Prostate-specific antigen-based screening can reduce prostate cancer-specific mortality, but there are concerns about overdiagnosis, overtreatment and economic value. The aim was therefore to assess the cost effectiveness of eight potential screening strategies in the UK.

METHODS

We used a cost-utility analysis with an individual-based simulation model. The model was calibrated to data from the 10-year follow-up of the Cluster Randomised Trial of PSA Testing for Prostate Cancer (CAP). Treatment effects were modelled using data from the Prostate Testing for Cancer and Treatment (ProtecT) trial. The participants were a hypothetical population of 10 million men in the UK followed from age 30 years to death. The strategies were: no screening; five age-based screening strategies; adaptive screening, where men with an initial prostate-specific antigen level of < 1.5 ng/mL are screened every 6 years and those above this level are screened every 4 years; and two polygenic risk-stratified screening strategies. We assumed the use of pre-biopsy multi-parametric magnetic resonance imaging for men with prostate-specific antigen ≥ 3 ng/mL and combined transrectal ultrasound-guided and targeted biopsies. The main outcome measures were projected lifetime costs and quality-adjusted life-years from a National Health Service perspective.

RESULTS

All screening strategies increased costs compared with no screening, with the majority also increasing quality-adjusted life-years. At willingness-to-pay thresholds of £20,000 or £30,000 per quality-adjusted life-year gained, a once-off screening at age 50 years was optimal, although this was sensitive to the utility estimates used. Although the polygenic risk-stratified screening strategies were not on the cost-effectiveness frontier, there was evidence to suggest that they were less cost ineffective than the alternative age-based strategies.

CONCLUSIONS

Of the prostate-specific antigen-based strategies compared, only a once-off screening at age 50 years was potentially cost effective at current UK willingness-to-pay thresholds. An additional follow-up of CAP to 15 years may reduce uncertainty about the cost effectiveness of the screening strategies.

Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review

OBJECTIVE

The likelihood of timely treatment for cervical cancer increases with timely detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells were established because manual identification requires skilled pathologists and is time consuming and prone to error. The purpose of this systematic review is to evaluate the diagnostic performance of artificial intelligence (AI) technologies for the prediction, screening, and diagnosis of cervical cancer and pre-cancerous lesions.

MATERIALS AND METHODS

Comprehensive searches were performed on three databases: Medline, Web of Science Core Collection (Indexes = SCI-EXPANDED, SSCI, A & HCI Timespan) and Scopus to find papers published until July 2022. Articles that applied any AI technique for the prediction, screening, and diagnosis of cervical cancer were included in the review. No time restriction was applied. Articles were searched, screened, incorporated, and analyzed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines.

RESULTS

The primary search yielded 2538 articles. After screening and evaluation of eligibility, 117 studies were incorporated in the review. AI techniques were found to play a significant role in screening systems for pre-cancerous and cancerous cervical lesions. The accuracy of the algorithms in predicting cervical cancer varied from 70% to 100%. AI techniques make a distinction between cancerous and normal Pap smears with 80-100% accuracy. AI is expected to serve as a practical tool for doctors in making accurate clinical diagnoses. The reported sensitivity and specificity of AI in colposcopy for the detection of CIN2+ were 71.9-98.22% and 51.8-96.2%, respectively.

CONCLUSION

The present review highlights the acceptable performance of AI systems in the prediction, screening, or detection of cervical cancer and pre-cancerous lesions, especially when faced with a paucity of specialized centers or medical resources. In combination with human evaluation, AI could serve as a helpful tool in the interpretation of cervical smears or images.

Label-Free Surface Enhanced Raman Spectroscopy for Cancer Detection

Blood is a vital reservoir housing numerous disease-related metabolites and cellular components. Thus, it is also of interest for cancer diagnosis. Surface-enhanced Raman spectroscopy (SERS) is widely used for molecular detection due to its very high sensitivity and multiplexing properties. Its real potential for cancer diagnosis is not yet clear. In this study, using silver nanoparticles (AgNPs) as substrates, a number of experimental parameters and scenarios were tested to disclose the potential for this technique for cancer diagnosis. The discrimination of serum samples from cancer patients, healthy individuals and patients with chronic diseases was successfully demonstrated with over 90% diagnostic accuracies. Moreover, the SERS spectra of the blood serum samples obtained from cancer patients before and after tumor removal were compared. It was found that the spectral pattern for serum from cancer patients evolved into the spectral pattern observed with serum from healthy individuals after the removal of tumors. The data strongly suggests that the technique has a tremendous potential for cancer detection and screening bringing the possibility of early detection onto the table.

Impact of a Culturally Tailored Education Intervention for African-American and Appalachian Men in Ohio

Men, particularly those of underserved groups, bear a disproportionate cancer burden. Knowledge about cancer and screening is associated with adherence to screening guidelines. However it is possible that a correlation exists between an individual's education attainment and ability to gain knowledge from health education. Men were recruited from Ohio counties with significant cancer disparities and asked to participate in three education sessions. Measures included a baseline survey collecting demographic information and pre- and post-intervention knowledge assessments about each of the topics. Paired t tests were used to determine whether there were statistically significant changes in mean scores after the intervention. Repeated measures of variance (ANOVA) conducted through generalized linear models (GLM) were used to determine if scores varied significantly by educational attainment. Appalachian men, regardless of level of educational attainment, had significant increases in knowledge for all topics. African American men with at least some college education demonstrated significant increases in knowledge for all three topics, while those with no college education had significant increases for only two topics. College education had a significant effect on scores for one topic among the Appalachian men and all three topics among the African American men. The interaction between change in score and higher educational attainment was significant for only one topic among Appalachian men and no topics among African American men. Higher educational attainment was associated with greater increases in knowledge scores for only one topic among Appalachian men and no topics among African American men. Culturally tailored health educational interventions are a promising approach to reducing disparities in cancer screening and outcomes among men of underserved groups. While all groups demonstrated increases in mean knowledge scores after participating in the educational intervention, there was not a significant association between educational attainment and increases in knowledge scores. Future research is needed to explore additional approaches to delivering health education and increasing the knowledge of men with lower levels of educational attainment.

Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT

Purpose

The aim was to evaluate the impact of CAD software on the pulmonary nodule management recommendations of radiologists in a cohort of patients with incidentally detected nodules on CT.

Methods

For this retrospective study, two radiologists independently assessed 50 chest CT cases for pulmonary nodules to determine the appropriate management recommendation, twice, unaided and aided by CAD with a 6-month washout period. Management recommendations were given in a 4-point grade based on the BTS guidelines. Both reading sessions were recorded to determine the reading times per case. A reduction in reading times per session was tested with a one-tailed paired t-test, and a linear weighted kappa was calculated to assess interobserver agreement.

Results

The mean age of the included patients was 65.0 ± 10.9. Twenty patients were male (40 %). For both readers 1 and 2, a significant reduction of reading time was observed of 33.4 % and 42.6 % (p < 0.001, p < 0.001). The linear weighted kappa between readers unaided was 0.61. Readers showed a better agreement with the aid of CAD, namely by a kappa of 0.84. The mean reading time per case was 226.4 ± 113.2 and 320.8 ± 164.2 s unaided and 150.8 ± 74.2 and 184.2 ± 125.3 s aided by CAD software for readers 1 and 2, respectively.

Conclusion

A dedicated CAD system for aiding in pulmonary nodule reporting may help improve the uniformity of management recommendations in clinical practice.

Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy

Precancerous screening using visual inspection with acetic acid (VIA) is suggested by the World Health Organization (WHO) for low-middle-income countries (LMICs). However, because of the limited number of gynecological oncologist clinicians in LMICs, VIA screening is primarily performed by general clinicians, nurses, or midwives (called medical workers). However, not being able to recognize the significant pathophysiology of human papilloma virus (HPV) infection in terms of the columnar epithelial-cell, squamous epithelial-cell, and white-spot regions with abnormal blood vessels may be further aggravated by VIA screening, which achieves a wide range of sensitivity (49-98%) and specificity (75-91%); this might lead to a false result and high interobserver variances. Hence, the automated detection of the columnar area (CA), subepithelial region of the squamocolumnar junction (SCJ), and acetowhite (AW) lesions is needed to support an accurate diagnosis. This study proposes a mask-RCNN architecture to simultaneously segment, classify, and detect CA and AW lesions. We conducted several experiments using 262 images of VIA+ cervicograms, and 222 images of VIA-cervicograms. The proposed model provided a satisfactory intersection over union performance for the CA of about 63.60%, and AW lesions of about 73.98%. The dice similarity coefficient performance was about 75.67% for the CA and about 80.49% for the AW lesion. It also performed well in cervical-cancer precursor-lesion detection, with a mean average precision of about 86.90% for the CA and of about 100% for the AW lesion, while also achieving 100% sensitivity and 92% specificity. Our proposed model with the instance segmentation approach can segment, detect, and classify cervical-cancer precursor lesions with satisfying performance only from a VIA cervicogram.