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Chinese Journal of Cancer Research

, Volume 4, Issue 1, pp 54–57 | Cite as

Histologic grade, and content and image analysis of soft tissue tumors

  • Shi Yingqiang 
  • Cao Shilong 
  • Li Shu 
  • Shen Mingchang 
  • Katharine Li
  • Xu Yuanding 
Clinical Observations
  • 10 Downloads

Abstract

Flow cytometry and image analysis technique were used to quantitate the nuclei of various soft tissue tumors. A single representing section from soft tissue sarcoma was used for histologic grading. Histologic and cytometric comparative analyses showed that all 21 benign tumors were diploid. Among 62 cases of soft tissue sarcoma, 45 (73%) were aneuploid. There was a significant difference in the nuclear area between benign and malignant tumors (P<0.01), diploid and aneuploid tumors (P<0.05). The two new techniques are valuable in cellular quantitative measurement for soft tissue tumors.

Keywords

Sarcoma Soft Tissue Sarcoma Fibrosarcoma Synovial Sarcoma Soft Tissue Tumor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Russell WO, et al. A clinical and pathological staging system for soft tissue sarcoma. Cancer 1977; 40: 1562.PubMedCrossRefGoogle Scholar
  2. 2.
    Barlogie B, et al. Flow cytometry in clinical cancer research. Cancer Res 1983; 43: 3982.PubMedGoogle Scholar
  3. 3.
    King EB, et al. Image cytometric classification of premalignant breast in fine needle aspirates. Cancer 1988; 62: 114.PubMedCrossRefGoogle Scholar
  4. 4.
    1985; 5:109.Google Scholar
  5. 5.
    1984; 4:1.Google Scholar
  6. 6.
    Kreicbergs A, et al. DNA flow analysis of soft tissue tumors. Cancer 1987; 59: 128.PubMedCrossRefGoogle Scholar
  7. 7.
    1987; 9:401.Google Scholar

Copyright information

© Chinese Journal Of Cancer Research 1992

Authors and Affiliations

  • Shi Yingqiang 
    • 1
  • Cao Shilong 
    • 1
  • Li Shu 
    • 1
  • Shen Mingchang 
    • 1
  • Katharine Li
    • 1
  • Xu Yuanding 
    • 2
  1. 1.Cancer HospitalShanghai Medical UniversityChina
  2. 2.Department of PathologyShanghai Medical UniversityChina

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