Linear Regression Modeling Based Scoring System to Reduce Benign Breast Biopsies Using Multi-parametric US with Color Doppler and SWE.

RATIONALE AND OBJECTIVES: To develop a simple ultrasound (US) based scoring system to reduce benign breast biopsies. MATERIALS AND METHODS: Women with BI-RADS 4 or 5 breast lesions underwent shear-wave elastography (SWE) imaging before biopsy. Standard US and color Doppler US (CDUS) parameters were recorded, and the size ratio (SzR=longest/shortest diameter) was calculated. Measured/calculated SWE parameters were minimum (SWVMin) and maximum (SWVMax) shear velocity, velocity heterogeneity (SWVH=SWVMax-SWVMin), velocity ratio (SWVR=SWVMin/SWVMax), and normalized SWVR (SWVRn=(SWVMax-SWVMin)/SWVMin). Linear regression analysis was performed by converting continuous parameters into categorical corresponding equivalents using decision tree analyses. Linear regression models were fitted using stepwise regression analysis and optimal coefficients for the predictors in the models were determined. A scoring model was devised from the results and validated using a different data set from another center consisting of 187 cases with BI-RADS 3, 4, and 5 lesions. RESULTS: A total of 418 lesions (238 benign, 180 malignant) were analyzed. US and CDUS parameters exhibited poor (AUC=0.592-0.696), SWE parameters exhibited poor-good (AUC=0.607-0.816) diagnostic performance in benign/malignant discrimination. Linear regression models of US+CDUS and US+SWE parameters revealed an AUC of 0.819 and 0.882, respectively. The developed scoring system could have avoided biopsy in 37.8% of benign lesions while missing 1.1% of malignant lesions. The scoring system was validated with a 100% NPV rate with a specificity of 74.6%. CONCLUSION: The linear regression model using US+SWE parameters performed better than any single parameter alone. The developed scoring method could lead to a significant decrease in benign biopsies.

CT Findings of the Massive Air Embolism in a Case with Thoracic Gunshot Wound: A Special Case Report as if a Whole Body Pneumo- Angiography was Performed.

BACKGROUND: Massive Systemic Arterial Air Embolism (SAAE) associated with penetrating trauma is a rare condition. A few cases were reported for massive arterial air embolism in the literature. Computed tomography is a fast and easily accessible modality for detecting air in the vasculature. We report CT findings of a rare case with a thoracic gunshot wound, which demonstrate air almost in all systemic vessels like ''full body pneumoangiography''. CASE PRESENTATION: A 42-year-old male patient with a thoracic gunshot wound was admitted to the Accident and Emergency (A&E) unit in a state of cardiac arrest. Postmortem Computed Tomography (CT) was performed and extensive air was revealed in several great vessels. CONCLUSION: We conclude that the underline causes of massive air embolism in our case are two main mechanisms: firstly, massive air enters the vasculature via bronchovascular fistula as there was bilateral lung contusion and directly through cardiac truncus, secondly while CPR was being conducted, massive air was pumped to the systemic circulation.

Imaging Features to Predict Response to Olfactory Training in Post-Traumatic Olfactory Dysfunction.

OBJECTIVES/HYPOTHESIS: Prognosis of post-traumatic olfactory dysfunction is poor, with medical treatment options showing limited success rates. Olfactory training (OT) has been introduced as a potential therapeutic option in olfactory dysfunction. We aimed to identify the imaging features that would predict a better response to OT and create an imaging-based prognostic scale. METHODS: We retrospectively reviewed 52 patients that underwent OT at our center for post-traumatic olfactory dysfunction. Olfactory functions at the time of initial presentation and at completion of OT were evaluated using Sniffin' Sticks test and threshold discrimination identification (TDI) scores were calculated. Patients were divided into responders (ROT group: 16 cases) and non-responders (n-ROT group: 36 cases) to OT based on TDI score change (cut-off 5.5 point). Morphological measurements of olfactory fossa, olfactory bulb volume and signal abnormalities, olfactory nerve filia integrity, siderosis, encephalomalacic changes in olfactory cortex, and other cortical regions were reviewed. RESULTS: There was no significant difference between the two groups in terms of age, gender distribution, olfactory dysfunction duration, head-trauma severity, and initial TDI scores. A model incorporating five variables: cribriform plate fracture, olfactory fossa depth (cut-off: 4.9 mm), olfactory bulb encephalomalacia, olfactory bulb volume (cut-off: 27.1 mm3 ), and siderosis was developed. This model had an area under the curve (AUC) of 0.950, and a cut-off value of 1 had 76.5% sensitivity and 97.1% specificity in prediction of response to OT. CONCLUSIONS: We developed an imaging-based scoring system with good specificity that can be used as an adjunctive tool for patient counseling, and optimal selection of management options. LEVEL OF EVIDENCE: 4 Laryngoscope, 131:E2243-E2250, 2021.