Development of a Fluorescence-Based Imaging System for Colon Cancer Diagnosis Using Two Novel Rhodamine Derivatives

Yova, Dido; Atlamazoglou, Vassilis; Kavantzas, Nikolaos; Loukas, Spyros

doi:10.1007/s101030050059

Cited by 11 publications

(18 citation statements)

References 18 publications

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“…Fluorescence images of human colon tissues revealed a remarkable di#erentiation of cancerous from non-neoplastic colonic mucosa. The results from unfixed tissue samples [15] were in total agreement with the above-mentioned data from formalin-fixed and para$n-embedded tissue sections. Additionally most of the colonic carcinomas are adenocarcinomas that secrete mucin [18,19].…”

Section: Discussionsupporting

confidence: 80%

“…These two novel fluoroprobes were also examined with an endoscopic fluorescencebased imaging system for diagnosis of colon cancer using in vitro tissue samples [15]. Fluorescence images of human colon tissues revealed a remarkable di#erentiation of cancerous from non-neoplastic colonic mucosa.…”

Section: Discussionmentioning

confidence: 99%

“…All other reagents and solvents were reagent grade and were used without further purification. The detailed methods of synthesis and the spectroscopic properties of the two novel rhodamine derivatives have been published elsewhere [15].…”

Section: Synthesis Of Fluorophoresmentioning

confidence: 99%

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Microscopical Examination of the Localisation Patterns of Two Novel Rhodamine Derivatives in Normal and Neoplastic Colonic Mucosa

et al. 2001

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Tissue characterisation by fluorescence imaging, using exogenous fluorophores, is a promising method for cancer detection. Histochemical alterations in the composition of mucins, when neoplastic transformations occur, could be exploited to derive more selective fluoroprobes indicative of early malignant transformation. The aim of this work was to develop and examine tumour selective fluoroprobes for colon cancer diagnosis, as well as to determine the morphological components where selective dye accumulation has occurred. Two novel fluoroprobes: rhodamine B-L-leucine amide and rhodamine B-phenylboronic acid were synthesised and examined together with Mayer's mucicarmine, alexa 350-wheat germ agglutinin (WGA) and tetramethyl rhodamine-concanavalin A (ConA). Fluorescence microscopy studies were performed with deparaffinised human colon sections, using an epifluorescence microscope equipped with a colour CCD camera. The intense accumulation of the novel fluoroprobes was localised in the amorphous material in the lumen of neoplastic crypts. To gain insight into the localisation patterns, mucicarmine, alexa 350-WGA and tetramethyl rhodamine-ConA were used. Alexa 350-WGA reacted primarily with mucin secreted in the malignant crypt lumen suggesting that this material is rich in sialic acid and N-acetylglucosaminyl residues. These derivatives clearly and consistently distinguished non-neoplastic from neoplastic human colon tissue sections. The intense accumulation at the altered mucins indicates that they could be used as fluoroprobes of biochemical alterations for carcinoma detection.

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Section: Discussionsupporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

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Microscopical Examination of the Localisation Patterns of Two Novel Rhodamine Derivatives in Normal and Neoplastic Colonic Mucosa

et al. 2001

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“…The fluorescence imaging system is developing to a low cost and modular way to adapt to the varying endoscope and light source configuration. Yova et al [95] used two fluorescence probes for colon cancer diagnosis in ex vivo tissue sample with the development of an imaging system based on endoscopic fluorescence. Furthermore, Rhodamine B-L-leucine amide and rhodamine B-phenyl boronic acid were also used and presented high fluorescence quantum yield, good selectivity and photostability for colon cancer tissue.…”

Section: Colon Cancermentioning

confidence: 99%

“…Furthermore, Rhodamine B-L-leucine amide and rhodamine B-phenyl boronic acid were also used and presented high fluorescence quantum yield, good selectivity and photostability for colon cancer tissue. The distinctive binding of the rhodamine derivatives to transform colonic mucosa is a huge character to investigate the possibility of in vivo application [95].…”

Section: Colon Cancermentioning

confidence: 99%

Laser-induced fluorescence: Progress and prospective for in vivo cancer diagnosis

et al. 2013

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Cancer diagnosis and treatment are of great interest due to the high death rate of cancer. To improve the cure rates of cancer, a diagnostic tool which can detect and treat cancer at initial stages is great needed. Laser-induced fluorescence (LIF) is an adequate analytical technique with advantages of high sensitivity, low sample consumption, short testing time, and suitable for in situ testing. Therefore, it has become one of the most widely used spectroscopic methods for cancer in vivo diagnosis in recent years. This review mainly focuses on the applications of in vivo LIF to distinguish premalignant, malignant from normal tissues in a variety of organ systems, such as lung breast, colon, cervix, esophagus, and bronchus. The potential influence factors for cancer diagnostics and the subsequent suitability of the method to different applications are well discussed. Meanwhile, the technical merits and weaknesses of the LIF technology for cancer diagnosis are also evaluated. Furthermore, different exogenous fluorophores, endogenous fluorophores, and fluorophores synthesized in the tissue are compared on their active principle and effect contrast. The technical potentials of LIF for further development and future applications are also presented as well in this review.

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Texture analysis of fluorescence microscopic images of colonic tissue sections

Atlamazoglou

Yova

Kavantzas

et al. 2001

Med. Biol. Eng. Comput.

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The aim of this study was to assess the potential of texture analysis for the characterization of fluorescence images from colonic tissue sections stained with a novel and selective fluoroprobe, Rhodamine B-phenylboronic acid. Fluorescence microscopy images of colonic healthy mucosa (n = 35) and adenocarcinomas (n = 35) were digitally captured and subjected to image texture analysis. Textural features derived from the grey level co-occurrence matrix were calculated. A modified version of the multiple discriminant analysis criterion was used to choose an appropriate subset of features. A minimum Mahalanobis distance, linear discriminant classifier and a simple evaluation 'score' method were used to classify image feature data into the two categories. A subset of four textural features was selected and used for the description and classification of each image field. They were found appropriate to correctly classify 95% of the images into the two classes, using two different classifiers. These features contained information about local homogeneity and grey level linear dependencies of the image. This study demonstrated that texture analysis techniques could provide valuable diagnostic decision support in a complex domain such as colorectal tissue.

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Development of a Fluorescence-Based Imaging System for Colon Cancer Diagnosis Using Two Novel Rhodamine Derivatives

Cited by 11 publications

References 18 publications

Microscopical Examination of the Localisation Patterns of Two Novel Rhodamine Derivatives in Normal and Neoplastic Colonic Mucosa

Microscopical Examination of the Localisation Patterns of Two Novel Rhodamine Derivatives in Normal and Neoplastic Colonic Mucosa

Laser-induced fluorescence: Progress and prospective for in vivo cancer diagnosis

Texture analysis of fluorescence microscopic images of colonic tissue sections

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