Surgery – Diagnostic testing – Detecting nuclear – electromagnetic – or ultrasonic radiation
Reexamination Certificate
1999-02-02
2002-06-25
Smith, Ruth S. (Department: 3737)
Surgery
Diagnostic testing
Detecting nuclear, electromagnetic, or ultrasonic radiation
C600S473000, C600S476000, C250S461200, C356S317000
Reexamination Certificate
active
06411835
ABSTRACT:
FIELD OF THE INVENTION
The present invention provides apparatus and methods to derive spatially differentiated analytical information from an exposed surface by analyzing the results of the interaction of electromagnetic radiation with discrete volume elements of the sample. This is achieved by spatially limiting the probing beam to a small volume element and limiting the accepted response detected from the same volume element only, scanning the sample at various depths along the axis of the optical assembly formed by the beam to determine the interaction from volume elements at the different depths and collecting such data from a plurality of points in a plane generally perpendicular to the probing beam.
BACKGROUND OF THE INVENTION
An important requirement exists for an instrument that will provide rapid and automatic diagnostic information, for example of cancerous and otherwise diseased tissue. In particular, there is a need for an instrument that would map the extent and stage of cancerous tissue without having to excise a large number of tissue samples for subsequent biopsies. In the current art, the medical profession relies generally on visual analysis and biopsies to determine specific pathologies and abnormalities. Various forms of biochemical imaging are used as well. Unique optical responses of various pathologies are being exploited in attempts to characterize biological tissue as well.
These prior art techniques, however, contain serious drawback as documented in copending application Ser. Nos. 08/510,041 filed Aug. 1, 1995 and 08/510,043 filed Aug. 1, 1995, which are incorporated herein by reference.
For example, performing a tissue biopsy and analyzing the extracted tissue in the laboratory requires a great deal of time. In addition, tissue biopsies can only characterize the tissue based upon representative samples taken from the tissue. This results in a large number of resections being routinely performed to gather a selection of tissue capable of accurately representing the sample. In addition, tissue biopsies are subject to sampling and interpretation errors. Magnetic resonance imaging is a successful tool, but is expensive and has serious limitations in detecting pathologies that are very thin or in their early stages of development.
One technique used in the medical field for tissue analysis is induced fluorescence. Laser induced fluorescence utilizes a laser tuned to a particular wavelength to excite tissue and to cause the tissue to fluoresce at a set of secondary wavelengths that can then be analyzed to infer characteristics of the tissue. Fluorescence can originate either from molecules normally found within the tissue, or from molecules that have been introduced into the body to serve as marker molecules.
Although the mechanisms involved in the fluorescence response of biological tissue to UV excitation have not been clearly defined, the fluorescence signature of neoplasia appears to reflect both biochemical and morphological changes. The observed changes in the spectra are similar for many cancers, which suggest similar mechanisms are at work. For example, useful auto-fluorescence spectral markers may reflect biochemical changes in the mitochondria, e.g., in the relative concentration of nicotinamide adenine dinucleotide (NADH) and flavins. Mucosal thickening and changes in capillary profusion are structural effects that have been interpreted as causing some typical changes in the spectroscopic record.
The major molecules in biological tissue which contribute to fluorescence emission under 337 nm near UV light excitation, have been identified as tryptophan (390 nm emission), chromophores in elastin (410 nm) and collagen (300 nm), NADH (470 nm), flavins (520 nm) and melanin (540 nm). However, it should be noted that in tissue, there is some peak shifting and changes in the overall shape relative to the pure compounds. Accordingly, the sample can be illuminated with a UV beam of sufficiently short wavelength and record responses from the above enumerated wavelengths of light in order to determine the presence of each of above identified contributions to tissues types.
It has been further shown that hemoglobin has an absorption peak between 400 and 540 nm, while both oxyhemoglobin and hemoglobin have strong light absorption above 600 nm. Blood distribution may also influence the observed emission spectra of elastin, collagen, NAD, and NADH. Further compounds present in tissue which may absorb emitted light and change the shape of the emitted spectra include myoglobin, porphyrins, and dinucleotide co-enzymes.
A general belief is that neoplasia has high levels of NADH because its metabolic pathway is primarily anaerobic. The inability of cells to elevate their NAD+: NADH ratio at confluence is a characteristic of transformed cells related to their defective growth control. The ratio of NADH
+
: NADH is an indicator of the metabolic capability of the cell, for example, its capacity for glycolysis versus gluconeogenesis. Surface fluorescence has been used to measure the relative level of NADH in both in vitro and in vivo tissues. Emission spectra obtained from individual myocyte produces residual green fluorescence, probably originating from mitochondrial oxidized flavin proteins, and blue fluorescence is consistent with NADH of a mitochondrial origin.
Collagen, NADH, and flavin adenine dinucleotide are thought to be the major fluorophores in colonic tissue and were used to spectrally decompose the fluorescence spectra. Residuals between the fits and the data resemble the absorption spectra of a mix of oxy-and deoxy-hemoglobin; thus the residuals can be attributed to the presence of blood.
Alfano, U.S. Pat. No. 4,930,516, teaches the use of luminescence to distinguish cancerous from normal tissue when the shape of the visible luminescence spectra from the normal and cancerous tissue are substantially different, and in particular when the cancerous tissue exhibits a shift to the blue with different intensity peaks. For example, Alfano discloses that a distinction between a known healthy tissue and a suspect tissue can be made by comparing the spectra of the suspect tissue with the healthy tissue. According to Alfano, the spectra of the tissue can be generated by exciting the tissue with substantially monochromatic radiation and comparing the fluorescence induced at least at two wavelengths.
Alfano, in U.S. Pat. No. 5,042,494, teaches a technique for distinguishing cancer from normal tissue by identifying how the shape of the visible luminescence spectra from the normal and cancerous tissue are substantially different.
Alfano further teaches, in U.S. Pat. No. 5,131,398, the use of luminescence to distinguish cancer from normal or benign tissue by employing (a) monochromatic or substantially monochromatic excitation wavelengths below about 315 nm, and, in particular, between about 260 and 315 nm, and, specifically, at 300 nm, and (b) comparing the resulting luminescence at two wavelengths about 340 and 440 nm.
Alfano, however, fails to teach a method capable of distinguishing between normal, malignant, benign, tumorous, dysplastic, hyperplastic, inflamed, or infected tissue. Failure to define these subtle distinctions in diagnosis makes appropriate treatment choices nearly impossible. While the simple ratio, difference and comparison analysis of Alfano and others have proven to be useful tools in cancer research and provocative indicators of tissue status, these have not, to date, enabled a method nor provided means which are sufficiently accurate and robust to be clinically acceptable for cancer diagnosis.
It is quite evident from the above that the actual spectra obtained from biological tissues are extremely complex and thus difficult to resolve by standard peak matching programs, spectral deconvolution or comparative spectral analysis. Furthermore, spectral shifting further complicates such attempts at spectral analysis. Last, laser fluorescence and other optical responses from tissues typically fail to achieve depth resolution because either th
Hed A. Ze'ev
Modell Mark
Medispectra, Inc.
Smith Ruth S.
Testa Hurwitz & Thibeault LLP
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