The correlation between imaging findings and breast cancer cell receptors status

INTRODUCTION

Breast cancer is the most common malignancy among women, and subtypes are mainly defined based on hormone receptors such as estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). The relationship between breast cancer subtypes and imaging features in mammography and sonography has been studied but the results are controversial. The purpose of this study was to determine the relationship between the hormonal receptor status of breast tumors and the radiologic feature of the tumors on mammography and sonography.

METHODS

Eighty patients with breast cancer enrolled in this cross-sectional study. ER, PR, and HER2 determined by immunohistochemistry. Every patient underwent mammography and sonography before the biopsy. We evaluated the relationship between the hormonal receptor status and radiographic features of tumors on breast sonography and mammography.

RESULTS

The majority of the patients (n=75 (93.8%)) were diagnosed with invasive ductal carcinoma (IDC). The mean and standard deviation of the age was 49 ± 9 years. There was no significant relationship between the hormonal receptor status and the sonographic margin and shape (P>0.05). However, PR (P=0.002) and ER (P=0.001) status were significantly correlated with posterior features on sonography. ER-positive patients were more likely to have indistinct or speculated masses on mammography (P=0.017). Irregular or oval masses on mammography were higher in patients with ER (p=0.032).

CONCLUSION

There was a significant correlation between PR and ER status and posterior features on sonography. Positive ER was associated with indistinct or speculated masses on mammography, as well as irregular or oval masses.

Effect of Sofosbuvir on Length of Hospital Stay in Moderate COVID-19 Cases; a Randomized Controlled Trial

INTRODUCTION

Efforts to control the COVID-19 pandemic are still on. This study aimed to evaluate the effect of sofosbuvir on length of hospital stay and complications in COVID-19 cases with moderate severity.

METHODS

This randomized clinical trial was done on moderate COVID-19 cases, who were admitted to Shohadaye Tajrish Hospital, Tehran, Iran, from 4/2021 to 9/2021. Eligible patients were randomly allocated into two groups of intervention (sofosbuvir) and control, and their outcomes were compared regarding the length of hospital stay and complications.

RESULTS

100 COVID-19 cases were randomly divided into two groups of 50 patients, as the intervention and control groups. The mean age of patients was 50.56 ± 12.23 and 57.1±14.1 years in the intervention and control groups, respectively (p = 0.02). The two groups were similar regarding distribution of gender (p = 0.15), underlying diseases (p = 0.08), the severity of COVID-19 (p = 0.80) at the time of admission, signs and symptoms (p > 0.05), and essential laboratory profile (p > 0.05). The length of hospital stay in the control and intervention groups was 7.7 ± 4.09 days and 4.7±1.6 days, respectively (p = 0.02). None of our patients needed ICU or mechanical ventilation.

CONCLUSION

Sofosbuvir may decrease the length of hospital stay of COVID-19 cases with moderate severity, without a significant effect on the rate of intensive care unit (ICU) need and mortality.

Gelfoam embolization of high-flow priapism due to coitus: A case report

Priapism is a condition in which a person has an erection without sexual arousal and lasts for at least 4 hours. High flow priapism (HFP) usually follows blunt trauma to the penis or perineum, causing arterial-lacunar fistula. HFPs are rare after sexual intercourse, and early treatment by embolization can prevent erectile dysfunction (ED). The use of gel foam has good results and has shown the least side effects.

Correlation Between Low-Dose Chest Computed Tomography and RT-PCR Results for the Diagnosis of COVID-19: A Report of 27,824 Cases in Tehran, Iran

RATIONALE AND OBJECTIVES

Real-time polymerase chain reaction (RT-PCR) remains the gold standard for confirmation of Coronavirus Disease 2019 (COVID-19) despite having many disadvantages. Here, we investigated the diagnostic performance of chest computed tomography (CT) as an alternative to RT-PCR in patients with clinical suspicion of COVID-19 infection.

METHODS

In this descriptive cross-sectional study, 27,824 patients with clinical suspicion of COVID-19 infection who underwent unenhanced low-dose chest CT from 20 February, 2020 to 21 May, 2020 were evaluated. Patients were recruited from seven specifically designated hospitals for patients with COVID-19 infection affiliated to Shahid Beheshti University of Medical Sciences. In each hospital, images were interpreted by two independent radiologists. CT findings were considered as positive/negative for COVID-19 infection based on RSNA diagnostic criteria. Then, the correlation between the number of daily positive chest CT scans and number of daily PCR-confirmed cases and COVID-19-related deaths in Tehran province during this three-month period was assessed. The trends of admission rate and patients with positive CT scans were also evaluated.

RESULTS

A strong positive correlation between the numbers of daily positive CT scans and daily PCR-confirmed COVID-19 cases (r = 0.913, p < 0.001) was observed. Furthermore, in hospitals located in regions with a lower socioeconomic status, the admission rate and number of positive cases within this three-month period was higher as compared to other hospitals.

CONCLUSION

Low-dose chest CT is a safe, rapid and reliable alternative to RT-PCR for the diagnosis of COVID-19 in high-prevalence regions. In addition, our study provides further evidence for considering patients' socioeconomic status as an important risk factor for COVID-19.

Segmentation of COVID-19 pneumonia lesions: A deep learning approach

Background: Lung CT scan has a pivotal role in diagnosis and monitoring of COVID-19 patients, and with growing number of affected individuals, the need for artificial intelligence (AI)-based systems for interpretation of CT images is emerging. In current investigation we introduce a new deep learning-based automatic segmentation model for localization of COVID-19 pulmonary lesions. Methods: A total of 2469 CT scan slices, containing 1402 manually segmented abnormal and 1067 normal slices form 55 COVID-19 patients and 41 healthy individuals, were used to train a deep convolutional neural network (CNN) model based on Detectron2, an open-source modular object detection library. A dataset, including 1224 CT slices of 18 COVID-19 patients and 9 healthy individuals, was used to test the model. Results: The accuracy, sensitivity, and specificity of the trained model in marking a single image slice with COVID-19 lesion were 0.954, 0.928, and 0.961, respectively. Considering a threshold of 0.4% for percentage of lung involvement, the model was capable of diagnosing the patients with COVID-19 pneumonia, with a sensitivity of 0.982% and a specificity of 88.5%. Furthermore, the mean Intersection over Union (IoU) index for the test dataset was 0.865. Conclusion: The deep learning-based automatic segmentation method provides an acceptable accuracy in delineation and localization of COVID-19 lesions, assisting the clinicians and researchers for quantification of abnormal findings in chest CT scans. Moreover, instance segmentation is capable of monitoring longitudinal changes of the lesions, which could be beneficial to patients' follow-up.

Abstract WP43: Successful Reperfusion in Patients With Concomitant Bi-territorial Anterior Circulation Strokes is Associated With Favorable Outcome and Decreased Symptomatic Hemorrhage and Mortality

Background and Purpose: Mechanical thrombectomy is now the gold standard treatment for patients presenting with acute ischemic stroke and proximal middle cerebral artery occlusion. The impact of mechanical thrombectomy in patients with concomitant anterior and middle cerebral arteries occlusions has not been evaluated.

Methods: We analyzed data collected between January 2012 and june 2018 in a prospective clinical registry of consecutive acute ischemic stroke patients treated with mechanical thrombectomy. Every patient with concomitant anterior and middle cerebral arteries occlusions documented on initial imaging and angiographic first run were included. The primary study outcome was the percentage of patients who achieved a 90-day favorable outcome, defined as an mRS score of 0-2 or equal to the prestroke value.

Results: Among 1242 strokes with anterior circulation occlusion treated by thrombectomy, 80 (6.4%) had biterritorial occlusions, defined as ischemic lesions in both anterior and middle cerebral artery territories and occlusions in both territories or carotid occlusion confirmed on first angiographic run. Among them, 67.5% had successful reperfusion of middle cerebral artery defined as mTICI 2B or 3. Patients with successful reperfusion had an increased rate of favorable outcome (28.6% versus 4.2%; P=0.043), decreased risk of symptomatic intracerebral hemorrhage (11.5% versus 45%; P=0.004) and decreased mortality (30.6% versus 66.7%; P=0.006), respectively.

Conclusion: In patients with concomitant occlusions of anterior and middle cerebral arteries territories, successful reperfusion is associated with an increased rate of favorable outcome, a decreased risk of symptomatic intracerebral hemorrhage and a decreased mortality.