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Investigation of gastric cancers in nude mice using X-ray in-line phase contrast imaging.

Tao Q, Luo S - Biomed Eng Online (2014)

Bottom Line: X-ray in-line phase contrast imaging (XILPCI), an X-ray phase contrast imaging method, has greater soft tissue contrast than traditional absorption radiography and generates higher-resolution images.The results of the PCA of the texture parameters based on GLCM of normal regions is (F1+F2) >8.5, but those of cancer regions is (F1+F2) <8.5.With further researches, XILPCI could become a noninvasive method for future the early detection of gastric cancers or medical researches.

View Article: PubMed Central - HTML - PubMed

Affiliation: Biomedical Engineering Institute, Capital Medical University, Beijing 100069, China. shuqian_luo@aliyun.com.

ABSTRACT

Background: This paper is to report the new imaging of gastric cancers without the use of imaging agents. Both gastric normal regions and gastric cancer regions can be distinguished by using the principal component analysis (PCA) based on the gray level co-occurrence matrix (GLCM).

Methods: Human gastric cancer BGC823 cells were implanted into the stomachs of nude mice. Then, 3, 5, 7, 9 or 11 days after cancer cells implantation, the nude mice were sacrificed and their stomachs were removed. X-ray in-line phase contrast imaging (XILPCI), an X-ray phase contrast imaging method, has greater soft tissue contrast than traditional absorption radiography and generates higher-resolution images. The gastric specimens were imaged by an XILPCIs' charge coupled device (CCD) of 9 μm image resolution. The PCA of the projective images' region of interests (ROIs) based on GLCM were extracted to discriminate gastric normal regions and gastric cancer regions. Different stages of gastric cancers were classified by using support vector machines (SVMs).

Results: The X-ray in-line phase contrast images of nude mice gastric specimens clearly show the gastric architectures and the details of the early gastric cancers. The phase contrast computed tomography (CT) images of nude mice gastric cancer specimens are better than the traditional absorption CT images without the use of imaging agents. The results of the PCA of the texture parameters based on GLCM of normal regions is (F1+F2) >8.5, but those of cancer regions is (F1+F2) <8.5. The classification accuracy is 83.3% that classifying gastric specimens into different stages using SVMs.

Conclusions: This is a very preliminary feasibility study. With further researches, XILPCI could become a noninvasive method for future the early detection of gastric cancers or medical researches.

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Related in: MedlinePlus

The traditional absorption CT image of the 5-day-old nude mouse gastric cancer specimen. There is no gray level change information and gastric wall is not clear.
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Figure 5: The traditional absorption CT image of the 5-day-old nude mouse gastric cancer specimen. There is no gray level change information and gastric wall is not clear.

Mentions: We rebuilt the XILPCI 3-Dimensional slice using the filter back projective algorithm. The details can be observed inside the gastric tissue from tomography image in Figure 4.A traditional absorption CT image of a gastric cancer specimen illuminates that the whole gastric specimen looks like a white ring from Figure 5. It can be clearly observed that the gastric cancer region is protuberant thickness, but the details of the gastric wall are not clear.Phase contrast CT showed details better than absorption CT for gastric specimens according to Figures 4 and 5. The above conclusion was confirmed by a clinical image doctor.


Investigation of gastric cancers in nude mice using X-ray in-line phase contrast imaging.

Tao Q, Luo S - Biomed Eng Online (2014)

The traditional absorption CT image of the 5-day-old nude mouse gastric cancer specimen. There is no gray level change information and gastric wall is not clear.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4114443&req=5

Figure 5: The traditional absorption CT image of the 5-day-old nude mouse gastric cancer specimen. There is no gray level change information and gastric wall is not clear.
Mentions: We rebuilt the XILPCI 3-Dimensional slice using the filter back projective algorithm. The details can be observed inside the gastric tissue from tomography image in Figure 4.A traditional absorption CT image of a gastric cancer specimen illuminates that the whole gastric specimen looks like a white ring from Figure 5. It can be clearly observed that the gastric cancer region is protuberant thickness, but the details of the gastric wall are not clear.Phase contrast CT showed details better than absorption CT for gastric specimens according to Figures 4 and 5. The above conclusion was confirmed by a clinical image doctor.

Bottom Line: X-ray in-line phase contrast imaging (XILPCI), an X-ray phase contrast imaging method, has greater soft tissue contrast than traditional absorption radiography and generates higher-resolution images.The results of the PCA of the texture parameters based on GLCM of normal regions is (F1+F2) >8.5, but those of cancer regions is (F1+F2) <8.5.With further researches, XILPCI could become a noninvasive method for future the early detection of gastric cancers or medical researches.

View Article: PubMed Central - HTML - PubMed

Affiliation: Biomedical Engineering Institute, Capital Medical University, Beijing 100069, China. shuqian_luo@aliyun.com.

ABSTRACT

Background: This paper is to report the new imaging of gastric cancers without the use of imaging agents. Both gastric normal regions and gastric cancer regions can be distinguished by using the principal component analysis (PCA) based on the gray level co-occurrence matrix (GLCM).

Methods: Human gastric cancer BGC823 cells were implanted into the stomachs of nude mice. Then, 3, 5, 7, 9 or 11 days after cancer cells implantation, the nude mice were sacrificed and their stomachs were removed. X-ray in-line phase contrast imaging (XILPCI), an X-ray phase contrast imaging method, has greater soft tissue contrast than traditional absorption radiography and generates higher-resolution images. The gastric specimens were imaged by an XILPCIs' charge coupled device (CCD) of 9 μm image resolution. The PCA of the projective images' region of interests (ROIs) based on GLCM were extracted to discriminate gastric normal regions and gastric cancer regions. Different stages of gastric cancers were classified by using support vector machines (SVMs).

Results: The X-ray in-line phase contrast images of nude mice gastric specimens clearly show the gastric architectures and the details of the early gastric cancers. The phase contrast computed tomography (CT) images of nude mice gastric cancer specimens are better than the traditional absorption CT images without the use of imaging agents. The results of the PCA of the texture parameters based on GLCM of normal regions is (F1+F2) >8.5, but those of cancer regions is (F1+F2) <8.5. The classification accuracy is 83.3% that classifying gastric specimens into different stages using SVMs.

Conclusions: This is a very preliminary feasibility study. With further researches, XILPCI could become a noninvasive method for future the early detection of gastric cancers or medical researches.

Show MeSH
Related in: MedlinePlus