Risk factors associated with breast arterial calcifications

Radiomics analysis of pericoronary adipose tissue based on plain CT for preliminary screening of coronary artery disease in patients with type 2 diabetes mellitus

BACKGROUND

Type 2 diabetes mellitus (T2DM) is associated with a markedly increased prevalence of coronary artery disease (CAD). Radiomics features of pericoronary adipose tissue (PCAT) were correlated with inflammation, which may have potential value in the prediction of CAD.

PURPOSE

To determine whether radiomics analysis of PCAT captured by plain computed tomography (CT) could predict obstructive CAD in patients with T2DM.

MATERIAL AND METHODS

The study included 155 patients with T2DM with suspected CAD between January 2020 and December 2021. Volumes of right coronary artery of 10-50 mm were delineated in the plain CT to extract radiomics features and PCAT CT attenuation (PCATa). Least absolute shrinkage and selection operator was used to select the useful radiomics features to calculate the radiomics score (Rad-score). Univariate and multivariable logistic regression were applied to select independent predictors. The predictive performance was evaluated by the area under the receiver operating characteristics curve (AUC).

RESULTS

Rad-score (per 0.1 increments: odds ratio [OR] = 1.297; P < 0.001), coronary artery calcium score (CACS) (OR = 1.003; P = 0.037), and sex (OR = 3.245; P = 0.026) were identified as independent predictors for obstructive CAD. Rad-score (AUC = 0.835) outperformed CACS (AUC = 0.780), sex (AUC = 0.665), and PCATa (AUC = 0.550) in predicting obstructive CAD (P = 0.017 and 0.003 for Rad-score vs. sex and PCATa, respectively); however, the improvement between Rad-score and CACS had no statistical significance (P = 0.490).

CONCLUSION

Plain CT-derived Rad-score may be used as a preliminary screening tool for obstructive CAD in patients with T2DM.

Associations of Breast Arterial Calcifications with Cardiovascular Disease

Cardiovascular diseases (CVD), including coronary artery disease (CAD), continue to be the leading cause of global mortality among women. While traditional CVD/CAD prevention tools play a significant role in reducing morbidity and mortality among both men and women, current tools for preventing CVD/CAD rely on traditional risk factor-based algorithms that often underestimate CVD/CAD risk in women compared with men. In recent years, some studies have suggested that breast arterial calcifications (BAC), which are benign calcifications seen in mammograms, may be linked to CVD/CAD. Considering that millions of women older than 40 years undergo annual screening mammography for breast cancer as a regular activity, innovative risk prediction factors for CVD/CAD involving mammographic data could offer a gender-specific and convenient solution. Such factors that may be independent of, or complementary to, current risk models without extra cost or radiation exposure are worthy of detailed investigation. This review aims to discuss relevant studies examining the association between BAC and CVD/CAD and highlights some of the issues related to previous studies' design such as sample size, population types, method of assessing BAC and CVD/CAD, definition of cardiovascular events, and other confounding factors. The work may also offer insights for future CVD risk prediction research directions using routine mammograms and radiomic features other than BAC such as breast density and macrocalcifications.

Coronary Artery Disease Association With Arterial Calcifications on Routine Hand Radiographs

PURPOSE

Arterial calcifications in the lower extremity, chest, and cardiac vessels have been linked to coronary artery disease (CAD). However, the relation between arterial calcifications observed on routine hand and upper-extremity radiographs and atherosclerosis has not been determined. This study examined whether arterial calcifications found on hand radiographs are associated with CAD.

METHODS

A record review from a single institution identified 345 patients with both hand radiographs and CAD screening with cardiac stress testing or coronary angiography. Patients with chronic kidney disease, end-stage renal disease, or incomplete hand films were excluded. We reviewed x-rays for findings of arterial calcifications. Cardiac testing results were used to establish a baseline diagnosis of CAD. We made group comparisons and employed multivariable logistic regression to evaluate the association between upper-extremity calcification and CAD.

RESULTS

A total of 210 patients met inclusion criteria: 155 with CAD and 55 without it. Mean age was 72 years, body mass index was 28.8, and 54% were male. Patients had comorbidities of hypertension (91%), hyperlipidemia (87%), diabetes (39%), cerebrovascular accident (9%), and a history of tobacco use (53%). Of 155 CAD patients, 67 had arterial calcifications on hand radiographs (43%), compared with 6 of 55 without it (11%). In a multivariable model controlling for sex, hyperlipidemia, and diabetes, the presence of arterial calcifications on hand plain films indicated a 6.2-fold increased odds of CAD.

CONCLUSIONS

The current data demonstrate that arterial calcifications on hand radiographs are independently associated with CAD. This may represent an opportunity to the treating physician as a point of referral or investigation for underlying or occult CAD.

TYPE OF STUDY/LEVEL OF EVIDENCE

Prevalence III.

Can Incidental Vascular Calcifications at Mammography be Used as a Screening Biomarker for Heart and Kidney Disease?

Mammography is a screening test with extensive international application and financial infrastructure promoting accessibility and affordability. Designed specifically to detect microcalcifications, mammography is powered to detect calcifications in vessel walls. Breast arterial calcifications (BAC) are one of the most common incidental findings documented by mammography. This review considers the literature regarding BAC in relation to cardiovascular disease (CVD) and its risk factors. The aim is to assess the possibility of using BAC as an early surrogate imaging biomarker of CVD.