Rapid endoscopic identification and destruction of degenerating Barrett's mucosal neoplasia.

There are distinct challenges implicit to the development of minimally invasive endoscopic surgery for the eradication of early neoplasia in Barrett's oesophagus. Endoscopic resection and ablation of high-grade dysplasia and mucosal cancer offer alternative therapeutic options to those unsuitable or unwilling to contemplate radical surgical excision. It may also become the treatment of choice in the future. Technological developments enable the instantaneous and non-invasive diagnosis of microscopic tissue abnormalities in vivo. This is made possible by improving the level of information that can be obtained from the tissue. As well as the two-dimensional surface morphology image, which the traditional endoscope can view, we have used new techniques to enable structure at depth, using Optical Coherence Tomography, to be imaged in high resolution. Other advances, using Raman spectroscopy, enable the early endoscopic detection of biochemical and molecular changes in tissue that precede any changes in morphology, thus enabling earlier diagnosis of tissue abnormalities. This King James IV lecture details our recent work, to develop advanced imaging for the diagnosis of malignancy and pre-malignancy. After detection endoscopic photodynamic therapy and endoscopic mucosal resection can provide eradication of mucosal neoplasia. Following photodynamic therapy there was complete eradication of all high-grade dysplasia and intramucosal carcinoma in 40 of 42 patients with a maximum endoscopic follow-up period of 72 months. Following endoscopic resection of 95 patients, the mean survival for intramucosal adenocarcinoma and high-grade dysplasia was 40.6 and 60.8 months respectively.

Vibrational spectroscopy: a clinical tool for cancer diagnostics.

Vibrational spectroscopy techniques have demonstrated potential to provide non-destructive, rapid, clinically relevant diagnostic information. Early detection is the most important factor in the prevention of cancer. Raman and infrared spectroscopy enable the biochemical signatures from biological tissues to be extracted and analysed. In conjunction with advanced chemometrics such measurements can contribute to the diagnostic assessment of biological material. This paper also illustrates the complementary advantage of using Raman and FTIR spectroscopy technologies together. Clinical requirements are increasingly met by technological developments which show promise to become a clinical reality. This review summarises recent advances in vibrational spectroscopy and their impact on the diagnosis of cancer.

Towards automated classification of clinical optical coherence tomography data of dense tissues.

The native contrast of optical coherence tomography (OCT) data in dense tissues can pose a challenge for clinical decision making. Automated data evaluation is one way of enhancing the clinical utility of measurements. Methods for extracting information from structural OCT data are appraised here. A-scan analysis allows characterization of layer thickness and scattering parameters, whereas image analysis renders itself to segmentation, texture and speckle analysis. All fully automated approaches combine pre-processing, feature registration, data reduction, and classification. Pre-processing requires de-noising, feature recognition, normalization and refining. In the current literature, image exclusion criteria, initial parameters, or manual input are common requirements. The interest of the presented methods lies in the prospect of objective, quick, and/or post-acquisition processing. There is a potential to improve clinical decision making based on automated processing of OCT data.

Near real-time classification of optical coherence tomography data using principal components fed linear discriminant analysis.

An optical coherence tomography (OCT) prediction algorithm is designed and tested on a data set of sample images (taken from vegetables and porcine tissues) to demonstrate proof of concept. Preprocessing and classification of data are fully automated, at a rate of 60,000 A-scansmin on a standard computer and can be considered to deliver in near real-time. A data set consisting of nine groups was classified correctly in 82% of cases after cross-validation. Sets of fewer groups reach higher rates. The algorithm is able to distinguish groups with strong visual similarity among several groups of varying resemblance. Surface recognition and normalizing to the surface are essential for this approach. The mean divided by the standard deviation is a suitable descriptor for reducing a set of surface normalized A-scans. The method enables grouping of separate A-scans and is therefore straightforward to apply on 3-D data. OCT data can reliably be classified using principal component analysis combined with linear discriminant analysis. It remains to be shown whether this algorithm fails in the clinical setting, where interpatient variation can be greater than the deviations that are investigated as a disease marker.

Endoscopic photodynamic therapy for oesophageal disease.

Photodynamic therapy is a very important technique for the eradication of widespread oesophageal mucosal disease which has the potential to degenerate to cancer. Patients unsuitable or unwilling to undergo radical therapy can be cured using photodynamic therapy. We predominantly treat patients with high-grade dysplasia in Barrett's oesophagus. Lesions that are visible macroscopically are removed using endoscopic mucosal resection. The remaining area is then treated in 5cm segments at 3 monthly intervals with separate photosensitisation using endoscopic photodynamic therapy.

Endoscopic screening and surveillance for Barrett's esophagus--clinical implications.

There is now a clear causal relationship between symptomatic gastroesophageal reflux and esophageal adenocarcinoma (Lagergren et al, 1999). The risk factor is now identified as Barrett's metaplasia (Solaymani et al, 2004). Chronic reflux results in Barrett's metaplastic change, and the route to carcinoma is a stepwise progression, through dysplasia to invasive carcinoma (Jankowski et al, 2000). Earlier-stage disease is found in patients undergoing surveillance and is the major predictor of survival following surgery (Fountoulakis et al, 2004). Screening and surveillance by endoscopic biopsy regimen has profound implications for the allocation of healthcare resources and the provision of clinical services. Screening a high-risk group such as men with gastroesophageal reflux disease (GERD) will result in the detection of more patients with Barrett's esophagus, many of whom are asymptomatic. Once detected, questions remain as to surveillance intervals and the current methodology for surveillance. There are profound challenges with the accurate endoscopic and pathologic detection and categorization of Barrett's metaplasia, dysplasia , and, indeed, cancer. New endoscopic detection methods are being investigated to improve the diagnosis and definition of the premalignant phenotype. The detection of dysplasia requires increased surveillance and usually intervention either endoscopically or with surgery.