Probabilistic classification of tumour habitats in soft tissue sarcoma

2018 ◽  
Vol 31 (11) ◽  
pp. e4000 ◽  
Author(s):  
Shu Xing ◽  
Carolyn R. Freeman ◽  
Sungmi Jung ◽  
Robert Turcotte ◽  
Ives R. Levesque
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Probabilistic Classification

Tumor-to-Tumor Metastasis: Prostate Carcinoma Metastatic to Soft Tissue Sarcoma, a Previously Unreported Event

2019 ◽  
Vol 28 (2) ◽  
pp. 196-199
Author(s):  
Virginia Miller ◽  
Jason Shih Hoellwarth ◽  
Margaret Lydia Hankins ◽  
Richard McGough ◽  
Karen Schoedel
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Prostate Carcinoma ◽  
Tumor Metastasis ◽  
Myxoid Liposarcoma ◽  
Current Situation ◽  
Documented Case ◽  
Unusual Phenomenon ◽  
Tumor To Tumor Metastasis

Tumor-to-tumor metastasis is an unusual phenomenon wherein one distinct malignancy is present within the substance of another independent tumor. This event is rare, difficult to detect with imaging, and, due to conflicting terminology in the literature, can be challenging to classify. This article reports the first documented case of tumor-to-tumor metastasis involving prostatic adenocarcinoma and myxoid liposarcoma, reviews the available literature for carcinoma metastatic to sarcoma, and discusses the current situation within the context of the established criteria for the classification of combination tumors.

scholarly journals Immune classification of soft tissue sarcoma predicts clinical outcome

2019 ◽  
Vol 30 ◽  
pp. v689 ◽  
Author(s):  
F. Petitprez ◽  
A. de Reyniès ◽  
E.Z. Keung ◽  
T W-W Chen ◽  
C.-M. Sun ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Clinical Outcome

Paraspinal Soft-Tissue Sarcoma Classification of 14 Cases

Spine ◽  
1993 ◽  
Vol 18 (10) ◽  
pp. 1292-1297 ◽  
Author(s):  
Cameron Guest ◽  
Edward H. M. Wang ◽  
Aileen Davis ◽  
Fred Langer ◽  
Brian OʼSullivan ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma

scholarly journals Pathology of Soft Tissue Sarcoma

2007 ◽  
Vol 5 (4) ◽  
pp. 411-418 ◽  
Author(s):  
Brian P. Rubin ◽  
John R. Goldblum
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Molecular Pathology ◽  
Frozen Section ◽  
Soft Tissue Sarcomas ◽  
Treatment Team ◽  
Expert Consultation ◽  
Sarcoma Treatment

The evaluation and treatment of soft tissue sarcomas has never been more demanding than it is today. The pathologist plays a central role in this process and is an integral member of the multidisciplinary sarcoma treatment team. This article provides a brief summary of the role of the soft tissue pathologist and includes sections on methods of diagnosis, frozen section, classification of sarcomas, expert consultation, molecular pathology, grading, assessment of treatment response, and tumor banking.

scholarly journals Classification of Soft Tissue Sarcoma Specimens with Raman Spectroscopy as Smart Sensing Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Liming Li ◽  
Vamiq M. Mustahsan ◽  
Guangyu He ◽  
Felix B. Tavernier ◽  
Gurtej Singh ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Real Time ◽  
Frozen Section ◽  
Margin Status ◽  
Resection Margins ◽  
Analytical Methodology ◽  
Sensing Technology

Intraoperative confirmation of negative resection margins is an essential component of soft tissue sarcoma surgery. Frozen section examination of samples from the resection bed after excision of sarcomas is the gold standard for intraoperative assessment of margin status. However, it takes time to complete histologic examination of these samples, and the technique does not provide real-time diagnosis in the operating room (OR), which delays completion of the operation. This paper presents a study and development of sensing technology using Raman spectroscopy that could be used for detection and classification of the tumor after resection with negative sarcoma margins in real time. We acquired Raman spectra from samples of sarcoma and surrounding benign muscle, fat, and dermis during surgery and developed (i) a quantitative method (QM) and (ii) a machine learning method (MLM) to assess the spectral patterns and determine if they could accurately identify these tissue types when compared to findings in adjacent H&E-stained frozen sections. High classification accuracy (>85%) was achieved with both methods, indicating that these four types of tissue can be identified using the analytical methodology. A hand-held Raman probe could be employed to further develop the methodology to obtain spectra in the OR to provide real-time in vivo capability for the assessment of sarcoma resection margin status.

scholarly journals Immune classification of soft tissue sarcoma and its association with molecular characteristics, and clinical outcome

2018 ◽  
Vol 29 ◽  
pp. vi35
Author(s):  
F. Petitprez ◽  
A. de Reyniès ◽  
T.W.-W. Chen ◽  
C.-M. Sun ◽  
L. Lacroix ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Clinical Outcome ◽  
Molecular Characteristics
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