Colorectal cancer screening in women: an underutilized lifesaver

Derivation and validation of a nomogram incorporating modifiable lifestyle factors to predict development of colorectal adenomas after negative index colonoscopy

This retrospective cohort study aimed to identify baseline patient characteristics involving modifiable lifestyle factors that are associated with the development of colorectal adenomas, and establish and validate a nomogram for risk predictions among high-risk populations with negative index colonoscopy. A total of 83,076 participants who underwent an index colonoscopy at the Tianjin Union Medical Center between 2004 and 2019 were collected. According to meticulous inclusion and exclusion criteria, 249 subjects were enrolled and categorized into the primary and validation cohorts. Based on the primary cohort, we utilized the LASSO-Cox regression and the univariate/multivariate Cox proportional hazards (Cox-PH) regression parallelly to select variables, and incorporated selected variables into two nomogram models established using the multivariate Cox-PH regression. Comparison of the Akaike information criterion and the area under the receiver operating characteristic curve of the two models demonstrated that the nomogram model constituted by four covariates retained by the LASSO-Cox regression, including baseline age, body mass index, physical activity and family history of colorectal cancer (CRC) in first-degree relatives, performed better at predicting adenoma-free survival probabilities. Further validation including the concordance index, calibration plots, decision curve analysis and Kaplan-Meier survival curves also revealed good predictive accuracy, discriminating ability, clinical utility and risk stratification capacity of the nomogram model. Our nomogram will assist high-risk individuals with negative index colonoscopy to prevent colorectal adenoma occurrence and CRC morbidity with improved cost-effectiveness.

The predictive value of routine laboratory tests for colorectal polyps: a retrospective study

BACKGROUND

Colorectal cancer (CRC) has become the malignant tumor of the digestive tract with the highest incidence in our country, posing a serious threat to the health of our people. Early colon cancer is mostly due to the malignant transformation of colon polyps, so that early detection and resection have been shown to be effective in reducing the incidence and mortality of CRC. This study tried to investigate the related risk factors of and construct a predictive nomogram for colorectal polyps, providing meaningful guidance basis for risk stratification and screening.

METHODS

A total of 1,799 patients who underwent colonoscopies in the Health Management Centre of the Affiliated Hospital of Yangzhou University were recruited to this study. Univariate and multivariate logistic analyses were performed to determine the risk factors for colorectal polyps, and a predictive nomogram was constructed based on the multivariable model. We determined the predictive value of the nomogram by receiver operating characteristic (ROC) curve, calibration curve, and decision curve analyses (DCAs).

RESULTS

The logistic regression analysis showed that age (P<0.001), gender (P<0.001), eosinophil count (P=0.005), hemoglobin level (P=0.039), and LDL-C/HDL-C ratio (LHR; P<0.001) were independent predictors of the development of colorectal polyps. The above independent risk factors were incorporated, and an individualized nomogram model was successfully established. The C-index of the nomogram was 0.679 in our model, and with the bootstrap method, the prediction curve fit well with the ideal curve, suggesting that the prediction curve constructed in this study has good predictive ability.

CONCLUSIONS

Age, gender, eosinophil count, hemoglobin level, and LHR are risk factors for the development of colorectal polyps. Establishing a nomogram prediction model for colorectal polyps is helpful for the early clinical screening of high-risk patients with colorectal polyps, improving the detection rate of polyps and reducing the incidence of colorectal cancer (CRC).

Measurement of smaller colon polyp in CT colonography images using morphological image processing

PURPOSE

Automated measurement of the size and shape of colon polyps is one of the challenges in Computed tomography colonography (CTC). The objective of this retrospective study was to improve the sensitivity and specificity of smaller polyp measurement in CTC using image processing techniques.

METHODS

A domain knowledge-based method has been implemented with hybrid method of colon segmentation, morphological image processing operators for detecting the colonic structures, and the decision-making system for delineating the smaller polyp-based on a priori knowledge.

RESULTS

The method was applied on 45 CTC dataset. The key finding was that the smaller polyps were accurately measured. In addition to 6-9 mm range, polyps of even <5 mm were also detected. The results were validated qualitatively and quantitatively using both 2D MPR and 3D view. Implementation was done on a high-performance computer with parallel processing. It takes [Formula: see text] min for measuring the smaller polyp in a dataset of 500 CTC images. With this method, [Formula: see text] and [Formula: see text] were achieved.

CONCLUSIONS

The domain-based approach with morphological image processing has given good results. The smaller polyps were measured accurately which helps in making right clinical decisions. Qualitatively and quantitatively the results were acceptable when compared to the ground truth at [Formula: see text].

Organizational Factors Affecting the Likelihood of Cancer Screening Among VA Patients

BACKGROUND

Preventive service delivery, including cancer screenings, continues to pose a challenge to quality improvement efforts. Although many studies have focused on person-level characteristics associated with screening, less is known about organizational influences on cancer screening.

OBJECTIVES

This study aims to understand the association between organizational factors and adherence to cancer screenings.

METHODS

This study employed a cross-sectional design using organizational-level, patient-level, and area-level data. Dependent variables included breast, cervical, and colorectal cancer screening. Organizational factors describing resource sufficiency were constructed using factor analyses from a survey of 250 Veterans Affairs primary care directors. We conducted random-effects logistic regression analyses, modeling cancer screening as a function of organizational factors, controlling for patient-level and area-level factors.

RESULTS

Overall, 87% of the patients received mammograms, 92% received cervical and 78% had colorectal screening. Quality improvement orientation increased the odds of cervical [odds ratio (OR): 1.27; 95% confidence interval (CI), 1.03-1.57] and colorectal cancer screening (OR: 1.10; 95% CI, 1.00-1.20). Authority in determining primary care components increased the odds of mammography screening (OR: 1.23; 95% CI, 1.03-1.51). Sufficiency in clinical staffing increased the odds of mammography and cervical cancer screenings. Several patient-level factors, serving as control variables, were associated with achievement of screenings.

CONCLUSIONS

Resource sufficiency led to increased odds of screening possibly because they promote excellence in patient care by conveying organizational goals and facilitate goal achievement with resources. Complementary to patient-level factors, our findings identified organizational processes associated with better performance, which offer concrete strategies in which facilities can evaluate their capabilities to implement best practices to foster and sustain a culture of quality care.

Automatic Electronic Cleansing in Computed Tomography Colonography Images using Domain Knowledge

Electronic cleansing is an image post processing technique in which the tagged colonic content is subtracted from colon using CTC images. There are post processing artefacts, like: 1) soft tissue degradation; 2) incomplete cleansing; 3) misclassification of polyp due to pseudo enhanced voxels; and 4) pseudo soft tissue structures. The objective of the study was to subtract the tagged colonic content without losing the soft tissue structures. This paper proposes a novel adaptive method to solve the first three problems using a multi-step algorithm. It uses a new edge model-based method which involves colon segmentation, priori information of Hounsfield units (HU) of different colonic contents at specific tube voltages, subtracting the tagging materials, restoring the soft tissue structures based on selective HU, removing boundary between air-contrast, and applying a filter to clean minute particles due to improperly tagged endoluminal fluids which appear as noise. The main finding of the study was submerged soft tissue structures were absolutely preserved and the pseudo enhanced intensities were corrected without any artifact. The method was implemented with multithreading for parallel processing in a high performance computer. The technique was applied on a fecal tagged dataset (30 patients) where the tagging agent was not completely removed from colon. The results were then qualitatively validated by radiologists for any image processing artifacts.

Feasibility of computed tomography colonography as a diagnostic procedure in colon cancer screening in India

Computed Tomography Colonography (CTC) is a medical imaging technology used in identifying polyps and colon cancer masses in the large intestine. The technique has evolved a great deal since its invention and has become a routine diagnostic procedure in Western countries due to its non invasiveness and ease of use. The objective of our study was to explore the possibility of CTC application in Indian hospitals. This paper gives an overview of the procedure and its commercial viability. The explanation begins with the domain aspects from gastroenterologist perspective, the new way of thinking in polyp classification, the technical components of CTC procedure, and how engineering solutions have helped clinicians in solving the complexities involved in colon diagnosis. The colon cancer statistics in India and the results of single institution study we carried out with retrospective data is explained. By considering the increasing number of patients developing colon malignancies, the practicality of CTC in Indian hospitals is discussed. This paper does not reveal any technical aspects (algorithms) of engineering solutions implemented in CTC.

Predictors of adherence to screening guidelines for chronic diseases of lifestyle, cancers, and HIV in a health-insured population in South Africa

BACKGROUND

Adherence to screening guidelines has been widely accepted to reduce morbidity, mortality, and cost outcomes. The aim of this study was to identify predictors of adherence to screening guidelines for chronic diseases of lifestyle (CDL), cancers, and HIV in a health-insured population in South Africa, some of whom voluntarily opt into a wellness program that incentivizes screening.

METHOD

A cross-sectional study for the period 2007-2011 was conducted using a random sample of 170,471 health insurance members from a single insurer. Adherence to screening guidelines was calculated from medical claims data.

RESULTS

Adherence to screening guidelines ranged from 1.1% for colorectal cancer to 40.9% for cholesterol screening. Members of the wellness program were up to three times more likely to screen for diseases (odds ratio [OR] = 3.2 for HIV screening, confidence interval [CI] = 2.75-3.73). Plan type (full comprehensive plan) was most strongly associated with cholesterol screening (OR = 3.53, CI = 3.27-3.80), and most negatively associated (hospital-only core plan) with cervical cancer screening (OR = 0.44, CI = 0.28-0.70). Gender was a negative predictor for glucose screening (OR = 0.88, CI = 0.82-0.96). Provincial residence was most strongly associated with cervical cancer screening (OR = 1.89, CI = 0.65-5.54).

CONCLUSION

Adherence to screening recommendations was <50%. Plan type, gender, provincial residence, and belonging to an incentivized wellness program were associated with disproportionate utilization of screening services, even with equal payment access.

Colonoscopy is high yield in spinal cord injury

OBJECTIVES/BACKGROUND

Colorectal cancer (CRC) can be prevented by routine colonoscopy. CRC screening in special populations, e.g. spinal cord injury and disorders, presents unique barriers and, potentially, a higher risk of complications. We were concerned about potentially higher risks of complications and sought to determine the safety of colonoscopy.

METHODS

Retrospective observational design using medical record review for 311 patients who underwent 368 colonoscopies from two large VA SCI centers from 1997-2008. Patient demographics and peri-procedural characteristics, including indication, bowel prep quality, and pathological findings are presented. Descriptive statistics are presented.

RESULTS

The population was predominantly male and Caucasian, and 199 (64%) had high-level injuries (T6 or above). Median age at colonoscopy was 61 years (interquartile range 53-69). Just <1/2 of the colonoscopies were diagnostic, usually for evidence of rectal bleeding. Although a majority of colonoscopies were reported as poorly prepped, the proportion that were adequately prepped increased over time (from 3.7 to 61.3%, P = <0.0001). Of the 146 polyps removed, 101 (69%) were adenomas or carcinomas. Ten subjects had 11 complications, none of which required surgical intervention.

CONCLUSIONS

Although providing quality colonoscopic care in this population is labor intensive, the data suggests that it appears safe and therapeutically beneficial. The results indicate that the risk of screening is outweighed by the likelihood of finding polyps. Recognition of the benefit of colonoscopy in this population may have improved bowel prep and reporting over time. Spinal cord injury providers should continue to offer screening or diagnostic colonoscopy to their patients when indicated, while being aware of the special challenges that they face.

Expression of microRNAs in urinary bladder samples obtained from dogs with grossly normal bladders, inflammatory bladder disease, or transitional cell carcinoma

OBJECTIVE

To determine expression of microRNA (miRNA) in urinary bladder samples obtained from dogs with grossly normal urinary bladders, inflammatory bladder disease, or transitional cell carcinoma (TCC) and in cells of established canine TCC cell lines.

SAMPLE

Samples of grossly normal bladders (n = 4) and bladders from dogs with inflammatory bladder disease (13) or TCC (18), and cells of 5 established canine TCC cell lines.

PROCEDURES

Expression of 5 miRNAs (miR-34a, let-7c, miR-16, miR-103b, and miR-106b) that target p53, Rb, or Bcl-2 protein pathways was determined for bladder samples and cells via quantitative real-time PCR assay. Effects of cisplatin (5μM) on proliferation and miRNA expression of cells were determined.

RESULTS

Expression of miR-34a and miR-106b was significantly higher in TCC samples than it was in samples of grossly normal bladders. Expression of miR-34a, miR-16, miR-103b, and miR-106b was higher in TCC samples than it was in bladder samples from dogs with inflammatory bladder disease. Cells of established canine TCC cell lines that had the lowest growth after cisplatin treatment had increased miR-34a expression after such treatment.

CONCLUSIONS AND CLINICAL RELEVANCE

Findings of this study indicated results of miRNA expression assays can be used to distinguish between samples of grossly normal bladders and bladders of dogs with inflammatory bladder disease or TCC. This finding may have clinical relevance because currently available diagnostic tests cannot be used to differentiate these tissues, and inflammatory bladder disease and TCC are both prevalent in dogs. Validation of miRNA expression assays as diagnostic tests may be warranted.

Optical biosensors to analyze novel biomarkers in oncology

Many cancer types are characterized by poor survival and unpredictable therapy response. Easy-to-perform molecular analyses may help patient stratification and treatment tailoring. Several integrated devices have been proposed to overcome current analysis equipment limitations. They offer improved sensitivity and easy availability of parallel detection. Particularly, unlabelled optical biosensors combine the manifold advantages of integrated sensors (e.g. easy handling, portability and low-volume requirement) with detection of target molecules in their original form. Here, we review integrated optical biosensor current features, and discuss their possible application to the detection of protein variants from body fluids, with particular regard to histone modifications. Indeed, histone post-translational modifications are a set of epigenetic markers frequently deregulated in cancer. Available technology does not allow a comprehensive analysis of all histone modifications in a single patient. Thus, label-free optical biosensors may pave the way to the discovery and detection of a novel class of biomarkers in oncology.