Reproducibility of a Histogenetic Classification of Thymic Epithelial Tumours

1997 ◽  
pp. 281-287
Author(s):  
Pauline M. Close ◽  
Thomas Kirchner ◽  
Cornelius J. Uys ◽  
Hans Konrad Müller-Hermelink
Keyword(s):  
Epithelial Tumours

Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours

2020 ◽  
Vol 126 ◽  
pp. 108929
Author(s):  
Jianping Hu ◽  
Yijing Zhao ◽  
Mengcheng Li ◽  
Yin Liu ◽  
Feng Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computed Tomography ◽  
Histologic Subtype ◽  
Subtype Classification ◽  
Epithelial Tumours

DNA-ploidy analysis correlates with the histogenetic classification of thymic epithelial tumours

1999 ◽  
Vol 189 (4) ◽  
pp. 576-580 ◽  
Author(s):  
A. Gschwendtner ◽  
F. Fend ◽  
Y. Hoffmann ◽  
J. Krugmann ◽  
P. J. Klingler ◽  
...  
Keyword(s):  
Dna Ploidy ◽  
Ploidy Analysis ◽  
Epithelial Tumours

CLASSIFICATION OF EPITHELIAL TUMOURS OF THE BLADDER1

1949 ◽  
Vol 21 (4) ◽  
pp. 273-295 ◽  
Author(s):  
C. E. Dukes ◽  
F. Masina
Keyword(s):  
Epithelial Tumours

Pathological Diagnosis and Classification of Gastric Epithelial Tumours

2019 ◽  
pp. 53-82
Author(s):  
Rossella Rotondo ◽  
Flavio Rizzolio ◽  
Tiziana Perin ◽  
Massimiliano Berretta ◽  
Fabrizio Zanconati ◽  
...  
Keyword(s):  
Pathological Diagnosis ◽  
Diagnosis And Classification ◽  
Epithelial Tumours

scholarly journals Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Osamu Iizuka ◽  
Fahdi Kanavati ◽  
Kei Kato ◽  
Michael Rambeau ◽  
Koji Arihiro ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Models ◽  
Histopathological Classification ◽  
Epithelial Tumours

Towards a histogenetic classification of thymic epithelial tumours?

2000 ◽  
Vol 36 (5) ◽  
pp. 466-469 ◽  
Author(s):  
Müller-Hermelink ◽  
Marx
Keyword(s):  
Epithelial Tumours

Reproducibility of a histogenetic classification of thymic epithelial tumours

1995 ◽  
Vol 26 (4) ◽  
pp. 339-343 ◽  
Author(s):  
P.M. CLOSE ◽  
T. KIRCHNER ◽  
C.J. UYS ◽  
H.K. MÜLLER-HERMELINK
Keyword(s):  
Epithelial Tumours

scholarly journals Thymic carcinoma in a 2-year-old child: case description and literature review

2020 ◽  
Vol 7 (3) ◽  
pp. 112-118
Author(s):  
E. I. Konopleva ◽  
D. V. Shevtsov ◽  
G. R. Kazaryan ◽  
A. M. Suleymanova ◽  
D. S. Abramov ◽  
...  
Keyword(s):  
Literature Review ◽  
Thymic Carcinoma ◽  
Locally Advanced ◽  
Anterior Mediastinum ◽  
Tumor Type ◽  
Invasive Potential ◽  
Complete Surgical Resection ◽  
Epithelial Tumours

Thymic carcinoma (TC) belongs to a group of rare thymic epithelial tumours (TETs) arising from the anterior mediastinum. One of the most relevant established prognostic factors is complete surgical resection. Given the high invasive potential of TC a lot of patents at the diagnosis present with a locally advanced or metastatic disease, therefore complete resection could not be achieved, and a role of systemic therapy is increasing. Due to the rarity of this tumor type in children and adolescents, treatment approaches based on the guidelines for management of TETs in adults. In this article we report a case of TC in a 2-year-old boy. The literature review describes the current histological classification of the TET, approaches for systemic chemotherapy and local control in patients with TC.

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

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