Original Article – Page 7 – Brazilian Journal of Pathology and Laboratory Medicine

Underreporting of scientific knowledge: a theme for reflection

Evaluation of PSA requests in men under 40 years of age

Article Type, Issue, Original Article, Vol 56, Issue 1 / wadmin

Fernando Antonio G. R. Araújo; Luana A. Bittencourt; Nairo M. Sumita; Ubirajara O. Barroso Jr.J. Bras. Patol. Med. Lab. 2020;56(1):1-5DOI: 10.5935/1676-2444.20200021 ABSTRACT OBJECTIVES: To evaluate the frequency of PSA requests in men under age 40 years; and to observe the possible influence of medical specialty of the requesting physician.MATERIAL AND METHOD: This is an observational, cross-sectional study […]

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Association of the CHGA gene polymorphism in patients with hemorrhagic stroke and/or aneurysm

Original Article / wadmin

Associação do polimorfismo do gene CHGA em pacientes com acidente vascular encefálico hemorrágico e/ou aneurisma Joanilson C. M. Santos Jr.1; Caroline F. Fratelli1; Alan Cristian F. Nóbrega1; Suzana Cristina Rodrigues1; Ligia Canongia A. C. Duarte1; Calliandra Maria S. Silva1; Jonathan D. Lima1; Luzitano B. Ferreira2; Daniel O. Freire3; Vivian Taís F. Cipriano3; Izabel Cristina R. Silva1; Hélia

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Association of the CHGA gene polymorphism in patients with hemorrhagic stroke and/or aneurysm

Article Type, Issue, Original Article, Vol 56, Issue 1 / wadmin

Joanilson C. M. Santos Jr.; Caroline F. Fratelli; Alan Cristian F. Nóbrega; Suzana Cristina Rodrigues; Ligia Canongia A. C. Duarte; Calliandra Maria S. Silva; Jonathan D. Lima; Luzitano B. Ferreira; Daniel O. Freire; Vivian Taís F. Cipriano; Izabel Cristina R. Silva; Hélia Carla SouzaJ. Bras. Patol. Med. Lab. 2020;56(1):1-6DOI: 10.5935/1676-2444.20200012 ABSTRACT INTRODUCTION: Cerebrovascular diseases have been

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DGC representative area selected for convolutional neural network training with at least 70% of the image, containing DGC DGC: dyscohesive/diffuse gastric carcinoma.

Multi-categorical classification using deep learning applied to the diagnosis of gastric cancer

Article Type, Issue, Original Article, Vol 56, Issue 1 / wadmin

Jonas Kloeckner; Tatiana K. Sansonowicz; Áttila L. Rodrigues; Tatiana W. N. NunesJ. Bras. Patol. Med. Lab. 2020;56(1):1-8DOI: 10.5935/1676-2444.20200013 ABSTRACT INTRODUCTION: Pathologists currently face a substantial increase in workload and complexity of their diagnosis work on different types of cancer. This is due to the increased incidence and detection of neoplasms, associated with diagnostic subspecialization and the

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Multi-categorical classification using deep learning applied to the diagnosis of gastric cancer

Original Article / wadmin

Classificação multicategórica utilizando aprendizagem profunda aplicada ao diagnóstico de adenocarcinoma gástrico Jonas Kloeckner1; Tatiana K. Sansonowicz2; Áttila L. Rodrigues1; Tatiana W. N. Nunes2 1. Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil2. Hospital Nossa Senhora da Conceição, Porto Alegre, Rio Grande do Sul, Brazil DOI: 10.5935/1676-2444.20200013 Corresponding author

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Progesterone and estradiol receptors and Ki-67 in the superficial and deep infiltrating endometriosis

Article Type, Issue, Original Article, Vol 56, Issue 1 / wadmin

Luiz F. Sampaio Neto; Maria Cecilia Ferro; Laura D. Garcia; Beatriz C. RibeiroJ. Bras. Patol. Med. Lab. 2020;56(1):1-6DOI: 10.5935/1676-2444.20200014 ABSTRACT INTRODUCTION: Endometriosis is a hormone-dependent disease characterized by ectopic presence of endometrial tissue responsive to ovarian steroids. Estrogen and progesterone are the main regulators of endometrial tissue, and the expression of receptors of these hormones in

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Progesterone and estradiol receptors and Ki-67 in the superficial and deep infiltrating endometriosis

Original Article / wadmin

Receptores de progesterona e estradiol e Ki-67 no estroma e no epitélio de endometriose superﬁcial e profunda Luiz F. Sampaio Neto; Maria Cecilia Ferro; Laura D. Garcia; Beatriz C. Ribeiro Faculdade de Ciências Médicas e da Saúde, Sorocaba, São Paulo, Brazil DOI: 10.5935/1676-2444.20200014 Corresponding author Luiz Ferraz de Sampaio NetoORCID 0000-0001-6161-3554e-mail: lfsampaio@pucsp.br First Submission on 5/17/2019

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Ductal carcinoma in situ of the breast: correlation of architectural, cytological, IHC findings and recurrence analysis

Article Type, Issue, Original Article, Vol 56, Issue 1 / wadmin

Thiago Acrux; Daniel Athanazio; Débora Gaudêncio; Caroline RochaJ. Bras. Patol. Med. Lab. 2020;56(1):1-8DOI: 10.5935/1676-2444.20200018 ABSTRACT OBJECTIVE: This study evaluated the histopathological features of ductal carcinoma in situ (DCIS), including cytological grade, architectural pattern and immunohistochemistry (IHC) in pure DCIS and DCIS associated with invasive carcinoma of no special type (ICNST).METHODS: We evaluated a series of 232 cases of pure

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Ductal carcinoma in situ of the breast: correlation of architectural, cytological, IHC findings and recurrence analysis

Original Article / wadmin

Carcinoma ductal in situ da mama: correlação dos achados arquiteturais, citológicos e IHQ e análise de recorrência Thiago Acrux1; Daniel Athanazio2; Débora Gaudêncio1; Caroline Rocha1 1. Hospital São Rafael, Salvador, Bahia, Brazil2. Universidade Federal da Bahia (UFBA), Salvador, Bahia, Brazil DOI: 10.5935/1676-2444.20200018 Corresponding author Thiago AcruxORCID 0000-0002-3293-5009e-mail: dracrux@gmail.com First Submission on 7/1/2019 Last Submission on 8/20/2019Accepted for publication on 8/20/2019Published

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Performance analysis of commercial rapid tests for serum troponin detection

Original Article / wadmin

Análise do desempenho de testes rápidos comerciais para detecção de troponina I sérica Raquel Ida Ferreira; Marcela R. Amaral; Maytê S. R. Brito; Matheus P. Pinto; Ana Carolina R. Maranhão; Lucas R. R. Costa; Rômulo C. Vaz de Melo Faculdade de Medicina de Barbacena, Barbacena, Minas Gerais, Brazil DOI: 10.5935/1676-2444.20200020 Corresponding author Raquel Ida FerreiraORCID

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