Literature DB >> 6326069

Morphology of the microvascular bed in primary human carcinomas of lung. Part I: Three--dimensional pattern of microvascular network.

K W Zieliński, A Kulig.   

Abstract

Three-dimensional patterns of the microvascular network of four main types of human lung carcinomas (squamous cell carcinoma, oat cell carcinoma, adenocarcinoma and large cell carcinoma) have been described. Investigation has been conducted in 18 autopsy cases by x-ray microangiography, and in 52 autopsy and surgical cases by modified benzidine-nitroprusside method for colouring the erythrocyte column in blood vessel. Specimens for the investigation were collected from standardized places of the tumor margin. Eight essential spatial structures of which the carcinomas' microvascular bed is built have been distinguished. Some characteristic features of microvascular network of highly differentiated squamous cell carcinomas, adenocarcinomas and oat cell carcinoma have been described. It has been concluded also that large cell carcinomas, poorly differentiated squamous cell carcinomas as well as adenocarcinomas do not produce any characteristic and repeated pattern of microvascular bed. One of the main elements of the neoplasm structure influencing the growth rate of the tumor is its peripherial vascular bed. It determines the access of chemotherapeutics, oxygen and components participating in the immunological response also. All of those factors are significant elements while considering the curability.

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Year:  1984        PMID: 6326069     DOI: 10.1016/S0344-0338(84)80106-5

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  4 in total

1.  Microvascular changes in the stroma of human colorectal carcinomas: ultrastructural histochemical study.

Authors:  H Ohtani; N Sasano
Journal:  Jpn J Cancer Res       Date:  1989-04

2.  A Retrospectively Study: Diagnosis of Pathological Types of Malignant Lung Tumors by Dual-layer Detector Spectral Computed Tomography.

Authors:  Xia Ma; Ming Xu; Xiao-Juan Tian; Yong-Li Liu; Xin-Ri Zhang; Ying Qiao
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

3.  Can Spectral CT Imaging Improve the Differentiation between Malignant and Benign Solitary Pulmonary Nodules?

Authors:  Ying Zhang; Jiejun Cheng; Xiaolan Hua; Mingji Yu; Chengdong Xu; Feng Zhang; Jianrong Xu; Huawei Wu
Journal:  PLoS One       Date:  2016-02-03       Impact factor: 3.240

4.  Low-dose spectral CT perfusion imaging of lung cancer quantitative analysis in different pathological subtypes.

Authors:  Mai-Lin Chen; Yi-Yuan Wei; Xiao-Ting Li; Li-Ping Qi; Ying-Shi Sun
Journal:  Transl Cancer Res       Date:  2021-06       Impact factor: 1.241

  4 in total

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