Postmenopausal Pregnancy Via Oocyte Donor and Suspected Focal Placenta Accreta: A Case Report.

Advances in assisted reproductive technologies have enabled postmenopausal women to achieve pregnancy beyond their reproductive lifespan. Although rare, these pregnancies are challenging and require a multidisciplinary approach due to the higher prevalence of medical comorbidities in this population. The placenta accreta spectrum is characterized by an abnormal invasion of chorionic villi into the myometrium. Risk factors associated with the placenta accreta spectrum include prior uterine surgeries, advanced maternal age, multiparity, in vitro fertilization, and placenta previa. We present a case of a 59-year-old postmenopausal woman with chronic hypertension, stage II chronic kidney injury, and superimposed pre-eclampsia who underwent cesarean delivery complicated by suspected focal placenta accreta. Histopathological examination revealed significant deviations from normative placental architecture, emphasizing the invasion of the villi. Further, congested blood vessels and the presence of inflammatory cells, along with heightened collagen deposition, suggest an underlying pathological process affecting placental health. These findings underscore a perturbation of placental homeostasis, emphasizing the necessity for further investigation into the mechanisms contributing to placental pathology in postmenopausal pregnancies.

Reporting breast density on chest computed tomography.

Women are encouraged to have a yearly mammogram and in addition to screening for breast cancer, the radiologist reports the patient's breast density. High breast density increases a woman's risk of developing breast cancer. The number of chest computed tomography (CT) scans performed each year is increasing. Chest CT scans for lung cancer screening in high-risk patients are the standard of care. Important additional findings can be identified on these exams including coronary artery calcifications, thyroid nodules, and breast density. Our previous research has shown that breast density can be reliably graded on chest CT and is comparable to mammographic grading. However, the inter-reader agreement was higher for chest CT. It is important that thoracic radiologists include the grading of breast density in their chest CT reports. According to mammography literature, this information has proven to be helpful for early detection of breast cancer. Federal legislation recommends notifying both providers and patients about breast density on mammography and so it follows that if we see the same information on chest CT, we should report it so that at the very least the clinician can encourage their patient to have a routine mammogram.

Chest CT for Breast Cancer Diagnosis.

Background: We report the results of our retrospective analysis of the ability of standard chest CT scans to correctly diagnose cancer in the breast. Methods: Four hundred and fifty-three consecutive women with chest CT scans (contrast and non-contrast) preceding mammograms within one year comprise the study population. All chest CT images were reviewed by an experienced fellowship-trained chest radiologist and mammograms by an experienced fellowship-trained mammographer without the benefit of prior or ancillary studies; only four mammographic views were included for analysis. The size, location, and shape of breast masses were documented; on CT, the average Hounsfield units were measured. On both imaging modalities, the presence of lymphadenopathy, architectural distortion, skin thickening, and microcalcifications were recorded. Ultimately, the interpreting radiologist was asked to decide if a biopsy was indicated, and these recommendations were correlated with the patient's outcome. Findings: Nineteen of four hundred and fifty-three patients had breast cancer at the time of the mammography. Breast masses were the most common finding on chest CT, leading to the recommendation for biopsy. Hounsfield units were the most important feature for discerning benign from malignant masses. CT sensitivity, specificity, and accuracy of CT for breast cancer detection was 84.21%, 99.3%, and 98.68% compared to 78.95%, 93.78%, and 93.16% for four-view mammography. Chest CT scans with or without contrast had similar outcomes for specificity and accuracy, but sensitivity was slightly less without contrast. Chest CT alone, without the benefit of prior exams and patient recall, correctly diagnosed cancer with a p-value of <0.0001 compared to mammography with the same limitations. Conclusion: Chest CT accurately diagnosed breast cancer with few false positives and negatives and did so without the need for patient recall for additional imaging.

Characteristic patterns of SARS-CoV-2 on chest CT suggests a hematologic pathway for viral entry into the lung.

Many SARS-CoV-2 studies have supported the theory that the Type II alveolar epithelial cells (AEC-2) are the primary portal of entry of the virus into the lung following its brief nasal occupation. However, the theory of inhalational transmission of the virus from the ciliated and goblet nasal cells to the lung parenchyma is not supported by the imaging findings on chest computerized tomography (CT), leading the authors to consider an alternative pathway from the nose to the lung parenchyma that could explain the peripheral, basilar predominant pattern of early disease. Imaging supports that the pulmonary capillaries may be an important vehicle for transmission of the virus and/or associated inflammatory mediators to the lung epithelium.