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1.
Cureus ; 15(3): e36983, 2023 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-37139285

RESUMO

Synovial metastases are rare for any malignancy. This case report discusses a case of synovial metastasis from urothelial carcinoma of the renal pelvis presenting with recurrent hemarthrosis. The diagnosis of malignant synovitis can be obtained by synovial fluid aspiration, which is a quick and minimally invasive method, especially when imaging is unyielding or unspecific. Unfortunately, the diagnosis is associated with a poor prognosis of about five months, and treatment is often palliative. While no clinical guidelines exist, a multimodal and multidisciplinary management approach can help address the physical and psychosocial losses suffered.

3.
Sci Rep ; 12(1): 2222, 2022 02 09.
Artigo em Inglês | MEDLINE | ID: mdl-35140318

RESUMO

Colorectal cancer is one of the most common cancers worldwide, accounting for an annual estimated 1.8 million incident cases. With the increasing number of colonoscopies being performed, colorectal biopsies make up a large proportion of any histopathology laboratory workload. We trained and validated a unique artificial intelligence (AI) deep learning model as an assistive tool to screen for colonic malignancies in colorectal specimens, in order to improve cancer detection and classification; enabling busy pathologists to focus on higher order decision-making tasks. The study cohort consists of Whole Slide Images (WSI) obtained from 294 colorectal specimens. Qritive's unique composite algorithm comprises both a deep learning model based on a Faster Region Based Convolutional Neural Network (Faster-RCNN) architecture for instance segmentation with a ResNet-101 feature extraction backbone that provides glandular segmentation, and a classical machine learning classifier. The initial training used pathologists' annotations on a cohort of 66,191 image tiles extracted from 39 WSIs. A subsequent application of a classical machine learning-based slide classifier sorted the WSIs into 'low risk' (benign, inflammation) and 'high risk' (dysplasia, malignancy) categories. We further trained the composite AI-model's performance on a larger cohort of 105 resections WSIs and then validated our findings on a cohort of 150 biopsies WSIs against the classifications of two independently blinded pathologists. We evaluated the area under the receiver-operator characteristic curve (AUC) and other performance metrics. The AI model achieved an AUC of 0.917 in the validation cohort, with excellent sensitivity (97.4%) in detection of high risk features of dysplasia and malignancy. We demonstrate an unique composite AI-model incorporating both a glandular segmentation deep learning model and a classical machine learning classifier, with excellent sensitivity in picking up high risk colorectal features. As such, AI plays a role as a potential screening tool in assisting busy pathologists by outlining the dysplastic and malignant glands.


Assuntos
Neoplasias Colorretais/classificação , Neoplasias Colorretais/diagnóstico , Interpretação de Imagem Assistida por Computador/métodos , Programas de Rastreamento/métodos , Patologia Clínica/métodos , Área Sob a Curva , Biópsia , Neoplasias Colorretais/patologia , Aprendizado Profundo , Humanos , Redes Neurais de Computação , Curva ROC
5.
Ann Clin Lab Sci ; 48(1): 110-115, 2018 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-29531006

RESUMO

Perivascular epithelioid cell tumor (PEComa) is an uncommon tumor which presents with epithelioid and spindled cell morphology and is immunoreactive for myogenic and melanocytic markers. Recently, a subset of PEComas has been reported to harbor TFE3 gene rearrangement.In this case report, we describe a TFE3-expressing primary bladder PEComa in a 27-year-old male patient with acute myeloid leukaemia in remission. The tumor displayed epithelioid morphology with surrounding delicate blood vessels and was devoid of a prominent spindle cell component. Malignant features were not identified. The tumor expressed HMB45, CD117, and focal patchy positive expression for SMA. TFE3 gene translocation was confirmed by Fluorescence in-situ hybridization. RT-PCR assay confirmed the presence of SFPQ-TFE3 gene fusion.In contrast to previously reported aggressive TFE3 gene-rearranged bladder PEComa cases, our case shows benign histologic and clinical features. Current clinical follow-up also shows a benign course.


Assuntos
Fatores de Transcrição de Zíper de Leucina e Hélice-Alça-Hélix Básicos/genética , Rearranjo Gênico , Proteínas de Fusão Oncogênica/genética , Neoplasias de Células Epitelioides Perivasculares/genética , Neoplasias de Células Epitelioides Perivasculares/patologia , Translocação Genética , Neoplasias da Bexiga Urinária/genética , Neoplasias da Bexiga Urinária/patologia , Adulto , Humanos , Masculino , Fator de Processamento Associado a PTB/genética , Prognóstico , Receptor trkC/genética , Espectrina/genética
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