34 research outputs found
Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning
Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence
imaging technology that has the potential to increase intraoperative precision,
extend resection, and tailor surgery for malignant invasive brain tumors
because of its subcellular dimension resolution. Despite its promising
diagnostic potential, interpreting the gray tone fluorescence images can be
difficult for untrained users. In this review, we provide a detailed
description of bioinformatical analysis methodology of CLE images that begins
to assist the neurosurgeon and pathologist to rapidly connect on-the-fly
intraoperative imaging, pathology, and surgical observation into a
conclusionary system within the concept of theranostics. We present an overview
and discuss deep learning models for automatic detection of the diagnostic CLE
images and discuss various training regimes and ensemble modeling effect on the
power of deep learning predictive models. Two major approaches reviewed in this
paper include the models that can automatically classify CLE images into
diagnostic/nondiagnostic, glioma/nonglioma, tumor/injury/normal categories and
models that can localize histological features on the CLE images using weakly
supervised methods. We also briefly review advances in the deep learning
approaches used for CLE image analysis in other organs. Significant advances in
speed and precision of automated diagnostic frame selection would augment the
diagnostic potential of CLE, improve operative workflow and integration into
brain tumor surgery. Such technology and bioinformatics analytics lend
themselves to improved precision, personalization, and theranostics in brain
tumor treatment.Comment: See the final version published in Frontiers in Oncology here:
https://www.frontiersin.org/articles/10.3389/fonc.2018.00240/ful
Utilizing Deep Machine Learning for Prognostication of Oral Squamous Cell Carcinoma—A Systematic Review
Peer reviewe
Development, Implementation and Application of Confocal Laser Endomicroscopy in Brain, Head and Neck Surgery : A Review
When we talk about visualization methods in surgery, it is important to mention that the
diagnosis of tumors and how we define tumor borders intraoperatively in a correct way are two main
things that would not be possible to achieve without this grand variety of visualization methods we
have at our disposal nowadays. In addition, histopathology also plays a very important role, and its
importance cannot be neglected either. Some biopsy specimens, e.g., frozen sections, are examined
by a histopathologist and lead to tumor diagnosis and the definition of its borders. Furthermore,
surgical resection is a very important point when it comes to prognosis and life survival. Confocal
laser endomicroscopy (CLE) is an imaging technique that provides microscopic information on the
tissue in real time. CLE of disorders, such as head, neck and brain tumors, has only recently been
suggested to contribute to both immediate tumor characterization and detection. It can be used
as an additional tool for surgical biopsies during biopsy or surgical procedures and for inspection
of resection margins during surgery. In this review, we analyze the development, implementation,
advantages and disadvantages as well as the future directions of this technique in neurosurgical and
otorhinolaryngological disciplines