Abstract Purpose: Complete tumor removal during cancer surgery remains challenging due to the lack of accurate techniques for intraoperative margin assessment. This study evaluates use hyperspectral imaging assessment by reporting its in fresh human breast specimens. Experimental Design: Hyperspectral data were first acquired on tissue slices from 18 patients after gross sectioning resected specimen. dataset, which contained over 22,000 spectra, was well correlated with histopathology and...

Complete tumor removal during breast-conserving surgery remains challenging due to the lack of optimal intraoperative margin assessment techniques. Here, we use hyperspectral imaging for detection in fresh breast tissue. We evaluated different wavelength ranges and two classification algorithms; a pixel-wise algorithm convolutional neural network that combines spectral spatial information. The highest performance was obtained using full range (450-1650 nm). Adding information mainly improved...

Abstract Hyperspectral imaging is a promising technique for resection margin assessment during cancer surgery. Thereby, only specific amount of the tissue below surface, clinically defined width, should be assessed. Since depth hyperspectral varies with wavelength and composition, this can have consequences clinical use as technique. In study, method was developed that allows analysis margins in breast cancer. This uses spectral slope diffuse reflectance spectrum at regions where tumor...

The main curative treatment for localized colon cancer is surgical resection. However when tumor residuals are left positive margins found during the histological examinations and additional needed to inhibit recurrence. Hyperspectral imaging (HSI) can offer non-invasive guidance with potential of optimizing effectiveness. In this paper we investigate capability HSI automated detection in six ex-vivo specimens employing a spectral-spatial patch-based classification approach. results...

Although the incidence of positive resection margins in breast-conserving surgery has decreased, both incomplete and unnecessary large resections still occur. This is especially case surgical treatment ductal carcinoma situ (DCIS). Diffuse reflectance spectroscopy (DRS), an optical technology based on light tissue interactions, can potentially characterize during thereby guiding surgeon intraoperatively. DRS shown to be able discriminate pure healthy breast from invasive (IC) but limited...

For the validation of optical diagnostic technologies, experimental results need to be benchmarked against gold standard. Currently, standard for tissue characterization is assessment hematoxylin and eosin (H&E)-stained sections by a pathologist. When processing into H&E sections, shape deforms with respect initial when it was optically measured. We demonstrate importance accounting these deformations correlating measurement routinely acquired histopathology. propose method register...

Developing algorithms for analyzing hyperspectral images as an intraoperative tool margin assessment during breast-conserving surgery requires a dataset with reliable histopathologic labels. The feasibility of using tissue slices high correlation histopathology developing algorithm the from surface lumpectomy specimens was investigated. We presented method to acquire histopathology. compared obtained on specimen and wavelengths penetration depth up minimum sample thickness were used develop...

Head and neck cancer (HNC) includes cancers in the oral/nasal cavity, pharynx, larynx, etc., it is sixth most common worldwide. The principal treatment surgical removal where a complete tumor resection crucial to reduce recurrence mortality rate. Intraoperative imaging enables surgeons objectively visualize malignant lesion maximize with healthy safe margins. Hyperspectral (HSI) an emerging modality for detection, which can augment inspection, currently limited subjective visual inspection....

In the wavelength range from 900-1700 nm, diffusion theory predicts a strong variation in sampling depth with (between 1 mm and more than centimeter). This significantly complicates spectral analysis seriously limits sensitivity for small pockets of cancer. We developed an approach to overcome this problem end tested it on fresh resection specimen.

The lack of sufficient margin assessment during breast conserving surgery results in up to 40% the cases incomplete tumor removal. We evaluate feasibility hyperspectral imaging as an intra-operative technique. Hyperspectral rapidly collects diffuse reflected light with a large field view over broad wavelength range (900-1700 nm). Thereby 3D hypercube is created that contains both spectral and spatial information imaged scene. Measurements are performed on 20 freshly excised specimen...

In 10 to 40% of breast cancer patients treated with conserving surgery, ductal carcinoma in situ (DCIS) or invasive (IC) is present at the margin specimen. Diffuse Reflectance Spectroscopy (DRS) could potentially help surgeon during surgery avoiding these tumor positive resection margins. Here we assess feasibility DRS for discriminating healthy tissue from tumor. For this purpose, measurements (400-1600nm) were obtained 71 specimens. A custom-made grid was placed on top a slice specimen...

Diffuse reflectance spectroscopy (DRS) can discriminate different tissue types based on optical characteristics. Since this technology has the ability to detect tumor tissue, several groups have proposed use DRS for margin assessment during breast-conserving surgery breast cancer. Nowadays, an increasing number of patients with cancer are being treated by neoadjuvant chemotherapy. Limited research been published influence chemotherapy characteristics tissue. Hence, it is unclear whether...

<p>Example of spectral variability due to non-flat surface tissue.</p>

<p>H&E sections, and the corresponding hyperspectral analysis of resection side.</p>

<p>Example of spectral variability due to non-flat surface tissue.</p>

<div>AbstractPurpose:<p>Complete tumor removal during cancer surgery remains challenging due to the lack of accurate techniques for intraoperative margin assessment. This study evaluates use hyperspectral imaging assessment by reporting its in fresh human breast specimens.</p>Experimental Design:<p>Hyperspectral data were first acquired on tissue slices from 18 patients after gross sectioning resected specimen. dataset, which contained over 22,000 spectra, was well...

<p>Overview of the registration process H&E sections to hyperspectral images.</p>

<p>The four tissue classes, their average spectra before and after SNV normalization main differences.</p>

<p>Overview of the registration process H&E sections to hyperspectral images.</p>

<p>The four tissue classes, their average spectra before and after SNV normalization main differences.</p>

<p>H&E sections, and the corresponding hyperspectral analysis of resection side.</p>

<div>AbstractPurpose:<p>Complete tumor removal during cancer surgery remains challenging due to the lack of accurate techniques for intraoperative margin assessment. This study evaluates use hyperspectral imaging assessment by reporting its in fresh human breast specimens.</p>Experimental Design:<p>Hyperspectral data were first acquired on tissue slices from 18 patients after gross sectioning resected specimen. dataset, which contained over 22,000 spectra, was well...

Worldwide, up to 40% of the breast conserving surgeries require additional operations due positive resection margins. We propose reduce this percentage by using hyperspectral imaging for margin assessment during surgery. Spectral hypercubes were collected from 26 freshly excised specimens with a pushbroom camera (900-1700nm). Computer simulations penetration depth in tissue suggest strong variation sampling (~0.5-10 mm) over wavelength range. This was confirmed mimicking phantom study....