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1.
Abdom Radiol (NY) ; 48(2): 680-687, 2023 02.
Artigo em Inglês | MEDLINE | ID: mdl-36380211

RESUMO

PURPOSE: To describe the appearance of chronically hemorrhagic adenomas on adrenal protocol CT and correlate imaging with pathologic findings. METHODS: Retrospective case series of adult patients with resected adrenal adenomas showing internal hemorrhage at histology. Seven of nine patients underwent pre-operative adrenal protocol CT and 2/7 underwent unenhanced CT with portal venous phase CT. Two abdominal radiologists in consensus assessed the CT images for the presence of calcifications, macroscopic fat, cystic/necrotic appearance, and the presence, pattern, and percent nodule volume of areas < 10 HU on unenhanced CT. Absolute washout was calculated using a large ROI, and ROIs on the highest and lowest attenuating regions on the portal venous phase. RESULTS: Mean adenoma length was 4.9 cm. All adenomas had areas measuring < 10 HU on unenhanced CT, ranging from < 20 to > 80% nodule volume. Calcifications were present in 4/9 adenomas and gross fat in 4/9 on CT. Of the seven cases with adrenal protocol CT, the absolute washout was < 60% in 5/7 using the large ROI, 5/7 using the low attenuation ROI, and 7/7 using the high attenuation ROI. At histology, all nine cases had microscopic evidence of hemorrhage, lipid rich adenoma cells, and fibrosclerosis. Myelolipomatous changes were identified in 4/9 cases, with the remaining five cases showing lipomatous metaplasia without a myeloid component. CONCLUSION: Chronically hemorrhagic adrenal adenomas demonstrated variable areas < 10 HU on unenhanced CT corresponding to lipid rich adenoma cells. Absolute washout was most often < 60%, hypothesized to be due to fibrosclerosis within the adenomas.


Assuntos
Adenoma , Neoplasias das Glândulas Suprarrenais , Adenoma Adrenocortical , Adulto , Humanos , Neoplasias das Glândulas Suprarrenais/diagnóstico por imagem , Neoplasias das Glândulas Suprarrenais/patologia , Estudos Retrospectivos , Tomografia Computadorizada por Raios X/métodos , Adenoma/diagnóstico por imagem , Adenoma/patologia , Hemorragia/diagnóstico por imagem , Lipídeos , Sensibilidade e Especificidade , Diagnóstico Diferencial
3.
BME Front ; 2022: 9786242, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-37850170

RESUMO

The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies, and diagnostic decisions, guiding cancer treatment and investigation of pathogenesis. HER2 staining demands laborious tissue treatment and chemical processing performed by a histotechnologist, which typically takes one day to prepare in a laboratory, increasing analysis time and associated costs. Here, we describe a deep learning-based virtual HER2 IHC staining method using a conditional generative adversarial network that is trained to rapidly transform autofluorescence microscopic images of unlabeled/label-free breast tissue sections into bright-field equivalent microscopic images, matching the standard HER2 IHC staining that is chemically performed on the same tissue sections. The efficacy of this virtual HER2 staining framework was demonstrated by quantitative analysis, in which three board-certified breast pathologists blindly graded the HER2 scores of virtually stained and immunohistochemically stained HER2 whole slide images (WSIs) to reveal that the HER2 scores determined by inspecting virtual IHC images are as accurate as their immunohistochemically stained counterparts. A second quantitative blinded study performed by the same diagnosticians further revealed that the virtually stained HER2 images exhibit a comparable staining quality in the level of nuclear detail, membrane clearness, and absence of staining artifacts with respect to their immunohistochemically stained counterparts. This virtual HER2 staining framework bypasses the costly, laborious, and time-consuming IHC staining procedures in laboratory and can be extended to other types of biomarkers to accelerate the IHC tissue staining used in life sciences and biomedical workflow.

4.
Int J Surg Pathol ; 30(1): 76-85, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-34029146

RESUMO

Primary adrenal angiosarcoma is a rare, malignant, vascular neoplasm. These neoplasms typically arise in middle age (median age of 60 years) and are more common in males (65%) than in females. Although rare, these neoplasms are aggressive with a propensity for local recurrence and metastasis and a median survival of 18 months. We present 2 cases of primary adrenal angiosarcoma with synchronous, ipsilateral adrenocortical adenomas. We review the cases of adrenal angiosarcoma reported since 1988 and discuss their clinical and histopathologic characteristics.


Assuntos
Neoplasias das Glândulas Suprarrenais/patologia , Adenoma Adrenocortical/patologia , Hemangiossarcoma/patologia , Neoplasias Primárias Múltiplas/patologia , Neoplasias do Córtex Suprarrenal/diagnóstico , Neoplasias do Córtex Suprarrenal/patologia , Neoplasias das Glândulas Suprarrenais/diagnóstico , Adenoma Adrenocortical/diagnóstico , Adulto , Idoso , Evolução Fatal , Feminino , Hemangiossarcoma/diagnóstico , Humanos , Masculino , Neoplasias Primárias Múltiplas/diagnóstico
5.
Cureus ; 12(1): e6639, 2020 Jan 12.
Artigo em Inglês | MEDLINE | ID: mdl-32064211

RESUMO

Spontaneous cancer regression is rare, and particularly rare for non-small cell lung cancer (NSCLC). The pathogenesis of spontaneous regressions is poorly understood, but of interest to many patients and providers. The infrequency of spontaneous regression makes it a challenging phenomenon to understand and study. We present a case of biopsy-proven NSCLC in a 73-year-old man that regressed without treatment.

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