# US 2014/0193062 A1 · Methods and apparatus for diagnosis and/or prognosis of cancer > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0193062 A1 - Document ID: US20140193062A1 - Status: Published application - Kind: A1 - Application number: 14/212,812 - Filed: 2014-03-14 - Published: 2014-07-10 - Earliest claimed: 2009-07-13 - Assignees: H. Lee Moffitt Cancer Center and Research Institute, Inc. - Applicants: H. Lee Moffitt Cancer Center and Research Institute, Inc. - Inventors: TATYANA A. ZHUKOV; DANSHENG SONG; MELVYN S. TOCKMAN - Web page: https://patentgrep.com/patent/US20140193062A1 ## CPC - G06V 20/695: {Preprocessing, e.g. image segmentation} - G01N 33/5076: {involving cell organelles, e.g. Golgi complex, endoplasmic reticulum} - G01N 33/575: for cancer - G06T 7/0012: {Biomedical image inspection} - A61B 10/02: Instruments for taking cell samples or for biopsy {(A61B10/0038 and A61B10/0045 take precedence; needle locating or guiding means A61B17/3403; samplers for enzymology or microbiology C12M1/26; sampling or preparing biological specimens G01N33/48)} - G01N 2800/52: Predicting or monitoring the response to treatment, e.g. for selection of therapy based on assay results in personalised medicine; Prognosis - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract The subject invention concerns methods for the detection, diagnosis, and/or prognosis of cancer by analyzing centrosomal features. In one embodiment, a method includes receiving an image of one or more cells; selecting a region of interest in one cell; segmenting the region of interest to delineate at least one centrosomal; extracting one or more features from the segmented image; and analyzing the extracted features to diagnose cancer. In another embodiment, the progression of cancer can be predicted through analysis and classification of the extracted features. In one embodiment, the method can be performed by a quantitative cancer analysis system including a diagnosis module and/or a prognosis module. In one embodiment, the method can be performed using an image processing system. ## Claims ### Claim 1 (canceled) ### Claim 2 A method for providing a prognosis of cancer for a person or animal prior to treatment of the cancer, the method comprising: obtaining an image of one or more cells; selecting a region of interest that comprises one or more cells, wherein the cell comprises at least one centrosome; segmenting the selected region of interest for the cell, wherein the at least one centrosome of the cell is delineated from other parts of the cell; extracting at least one feature from each of the at least one delineated centrosome of the cell; analyzing the extracted feature from each of the at least one delineated centrosome of the cell; and providing a prognosis of cancer based on one or more results of the analysis prior to treatment of the cancer. ### Claim 3 (depends on 2) The method of claim 2, wherein one or more of the at least one extracted feature is centrosome number per cell, centrosome area, fragment, intensity, intensity standard deviation, area to box ratio, aspect, mean diameter, perimeter ratio, roundness, fractal dimension, solidity, or eccentricity. ### Claim 4 (depends on 2) The method of claim 2, wherein the analysis comprises a statistical analysis. ### Claim 5 (depends on 2) The method of claim 2, wherein the image is acquired via a tandem-scanning confocal microscope. ### Claim 6 (depends on 2) The method of claim 2, the method further comprising enhancing the image of the one or more cells. ### Claim 7 (depends on 2) The method of claim 2, the method further comprising classifying the results of the analysis to determine a prognosis of cancer survival for the person or animal. ### Claim 8 (depends on 2) The method of claim 2, wherein at least six centrosomal features are extracted and analyzed. ### Claim 9 (depends on 8) The method of claim 8, wherein the at least six centrosomal features comprise number/cell, area, roundness, intensity, perimeter ratio, and fractal dimension. ### Claim 10 (depends on 2) The method of claim 2, wherein at least five centrosomal features are extracted and analyzed. ### Claim 11 (depends on 10) The method of claim 10, wherein the at least five centrosomal features comprise number/cell, area, intensity, fragment, and aspect. ### Claim 12 (depends on 7) The method of claim 7, wherein the prognosis is for long-term cancer survival or for short-term cancer survival. ### Claim 13 (canceled) ### Claim 14 (depends on 7) The method of claim 7, wherein increased centrosomal number/cell; decreased area; decreased roundness; increased intensity; increased perimeter ratio; and/or decreased fractal dimension is associated with a prognosis of long-term cancer survival. ### Claim 15 (depends on 2) The method of claim 2, wherein one or more of the steps of the method are performed by one or more suitably programmed computers. ### Claim 16 (depends on 15) The method of claim 15, wherein computer executable instructions for performing one or more of the steps of the method are provided on one or more computer readable media. ### Claim 17 (depends on 2) The method of claim 2, wherein the method is performed using an image processing system. ### Claim at position 18 18-20. (canceled) ### Claim 21 One or more non-transitory computer-readable media having computer-useable instructions embodied thereon for performing a method for diagnosing cancer and/or providing a prognosis for a person or animal, the method comprising: receiving an image of one or more cells; selecting a region of interest that comprises one cell, wherein the cell comprises at least one centrosome; segmenting the selected region of interest for the cell, wherein each at least one centrosome of the cell is delineated from other parts of the cell; extracting at least one feature from each of the at least one delineated centrosome of the cell; analyzing the at least one extracted feature from each of the at least one delineated centrosome of the cell; and diagnosing cancer and/or providing a prognosis based on one or more results of the analysis, wherein the non-transitory media is selected from the group consisting of information-delivery media, RAM, ROM, EEPROM, flash memory, CD-ROM, digital versatile disc (DVD), holographic media or other optical disc storage, magnetic cassette, magnetic tape, magnetic disk storage, and other magnetic storage devices. ### Claim 22 (depends on 21) The non-transitory media of claim 21, wherein at least six centrosomal features are extracted and analyzed. ### Claim 23 (depends on 22) The non-transitory media of claim 22, wherein the at least six centrosomal features comprise number/cell, area, roundness, intensity, perimeter ratio, and fractal dimension. ### Claim 24 (depends on 21) The non-transitory media of claim 21, wherein at least five centrosomal features are extracted and analyzed. ### Claim 25 One or more non-transitory computer-readable media having computer-useable instructions embodied thereon for performing a method for providing a prognosis of cancer for a person or animal prior to treatment of the cancer, the method comprising: receiving an image of one or more cells; selecting a region of interest that comprises one cell, wherein the cell comprises at least one centrosome; segmenting the selected region of interest for the cell, wherein each at least one centrosome of the cell is delineated from other parts of the cell; extracting at least one feature from each of the at least one delineated centrosome of the cell; analyzing the at least one extracted feature from each of the at least one delineated centrosome of the cell; and providing a prognosis of cancer based on one or more results of the analysis prior to treatment of the cancer.