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1.
Cureus ; 15(10): e46552, 2023 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-37822693

RESUMO

Maffucci's syndrome is a rare congenital nonhereditary syndrome with less than 300 cases having been reported in the United States. It is characterized by multiple enchondromas, hemangiomas, and rarely lymphangiomas. Enchondromas may undergo malignant transformation to chondrosarcomas. Surveillance plays a vital role in detecting early malignant transformation. Fluorodeoxyglucose (FDG) PET/CT, although falling out of favor, may be utilized as an imaging modality by physicians to determine such transformation, allowing for timely management and intervention. In this report, we share our experience with such a case.

2.
J Am Coll Radiol ; 15(3 Pt B): 543-549, 2018 03.
Artigo em Inglês | MEDLINE | ID: mdl-29366598

RESUMO

Enterprise imaging has channeled various technological innovations to the field of clinical radiology, ranging from advanced imaging equipment and postacquisition iterative reconstruction tools to image analysis and computer-aided detection tools. More recently, the advancement in the field of quantitative image analysis coupled with machine learning-based data analytics, classification, and integration has ushered in the era of radiomics, a paradigm shift that holds tremendous potential in clinical decision support as well as drug discovery. However, there are important issues to consider to incorporate radiomics into a clinically applicable system and a commercially viable solution. In this two-part series, we offer insights into the development of the translational pipeline for radiomics from methodology to clinical implementation (Part 1) and from that point to enterprise development (Part 2). In Part 2 of this two-part series, we study the components of the strategy pipeline, from clinical implementation to building enterprise solutions.


Assuntos
Diagnóstico por Imagem/tendências , Aprendizado de Máquina/tendências , Medicina de Precisão/tendências , Radiologia/tendências , Pesquisa Translacional Biomédica , Tomada de Decisões , Difusão de Inovações , Humanos , Interpretação de Imagem Assistida por Computador
3.
J Am Coll Radiol ; 15(3 Pt B): 538-542, 2018 03.
Artigo em Inglês | MEDLINE | ID: mdl-29366600

RESUMO

Enterprise imaging has channeled various technological innovations to the field of clinical radiology, ranging from advanced imaging equipment and postacquisition iterative reconstruction tools to image analysis and computer-aided detection tools. More recently, the advancements in the field of quantitative image analysis coupled with machine learning-based data analytics, classification, and integration have ushered us into the era of radiomics, which has tremendous potential in clinical decision support as well as drug discovery. There are important issues to consider to incorporate radiomics as a clinically applicable system and a commercially viable solution. In this two-part series, we offer insights into the development of the translational pipeline for radiomics from methodology to clinical implementation (Part 1) and from that to enterprise development (Part 2).


Assuntos
Diagnóstico por Imagem/tendências , Aprendizado de Máquina/tendências , Medicina de Precisão/tendências , Radiologia/tendências , Pesquisa Translacional Biomédica , Humanos
4.
JCO Clin Cancer Inform ; 1: 1-8, 2017 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-30657374

RESUMO

Radiomics is a quantitative approach to medical image analysis targeted at deciphering the morphologic and functional features of a lesion. Radiomic methods can be applied across various malignant conditions to identify tumor phenotype characteristics in the images that correlate with their likelihood of survival, as well as their association with the underlying biology. Identifying this set of characteristic features, called tumor signature, holds tremendous value in predicting the behavior and progression of cancer, which in turn has the potential to predict its response to various therapeutic options. We discuss the technical challenges encountered in the application of radiomics, in terms of methodology, workflow integration, and user experience, that need to be addressed to harness its true potential.


Assuntos
Diagnóstico por Imagem , Processamento de Imagem Assistida por Computador/métodos , Oncologia , Inteligência Artificial , Biomarcadores , Diagnóstico por Imagem/métodos , Diagnóstico por Imagem/normas , Humanos , Processamento de Imagem Assistida por Computador/normas , Informática Médica/métodos , Informática Médica/normas , Oncologia/métodos , Oncologia/normas , Fluxo de Trabalho
5.
Cureus ; 7(12): e392, 2015 Dec 03.
Artigo em Inglês | MEDLINE | ID: mdl-26798568

RESUMO

We share our experience with serial PET/CT imaging on a patient with extranodal Rosai-Dorfman disease (RDD) with hepatopancreatic involvement. RDD is a benign proliferative disorder of histiocytes mainly involving the lymph nodes. It typically presents with fever and painless cervical lymphadenopathy in young adults and less than half of RDS cases demonstrate extranodal involvement. RDD involvement of the liver and pancreas is extremely rare, and this case highlights the role of PET/CT in its management.

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