Modified Bi-Rads Scoring of Breast Imaging Findings Improves Clinical Judgment.

In contrast with the reporting requirements currently mandated under the Federal Mammography Quality Standards Act (MQSA), we propose a modification of the Breast Imaging Reporting and Data System (Bi-Rads) in which a concluding assessment category is assigned, not to the examination as a whole, but to every potentially malignant abnormality observed. This modification improves communication between the radiologist and the attending clinician, thereby facilitating clinical judgment leading to appropriate management. In patients with breast cancer eligible for breast conserving therapy, application of this modification brings to attention the necessity for such patients to undergo pretreatment biopsies of all secondary, synchronous ipsilateral lesions scored Bi-Rads 3-5. All contralateral secondary lesions scored Bi-Rads 3-5 also require pretreatment biopsies. The application of this modification of the MSQA demonstrates the necessity to alter current recommendations ("short-interval follow-up") for secondary, synchronous Bi-Rads 3 ("probably benign") image-detected abnormalities prior to treatment of the index malignancy.

Assessing the use of the triglyceride-glycemic index (TyG), neutrophil-lymphocyte Ratio (NLR), and platelet-lymphocyte Ratio (PLR) in distinguishing benign and malignant tumors among patients with complaints of breast mass.

Introduction: Breast cancer is a prevalent global health concern characterized by uncontrolled cell growth in breast tissue. In 2020, approximately 2.3 million cases were reported worldwide, with 162,468 new cases and 87,090 fatalities documented in India in 2018. Early diagnosis is crucial for reducing mortality. Our study focused on the use of markers such as the triglyceride-glycemic index and hematological markers to distinguish between benign and malignant breast masses. Methods: A prospective cross-sectional study included female patients with breast mass complaints. The target sample size was 200. Data collection included medical history, clinical breast examination, mammography, cytological assessment via fine-needle aspiration cytology (FNAC), and blood sample collection. The analyzed parameters included neutrophil-to-lymphocyte Ratio (NLR), platelet-to-lymphocyte Ratio (PLR), and triglyceride-glycemic index (TyG). Histopathological examination confirmed the FNAC results. Statistical analysis including propensity score matching, Kolmogorov-Smirnov tests, Mann-Whitney U tests, receiver's operator curve (ROC) analysis, and logistic regression models was conducted using SPSS and R Software. Additional validation was performed on 25 participants. Results: This study included 200 participants. 109 had benign tumors and 91 had malignant tumors. Propensity score matching balanced covariates. NLR did not significantly differ between the groups, while PLR and TyG index differed significantly. NLR correlated strongly with the breast cancer stage, but not with the BI-RADS score. PLR and TyG index showed moderate positive correlations with the BI-RADS score. ROC analysis was used to determine the optimal cutoff values for PLR and TyG index. Logistic regression models combining PLR and TyG index significantly improved malignancy prediction. Conclusions: TyG index and PLR show potential as adjunctive markers for distinguishing breast masses. NLR correlated with cancer stage but not lesion type. Combining TyG and PLR improves prediction, aiding clinical decisions, but large-scale multicenter trials and long-term validation are required for clinical implementation.