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 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.

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

scholarly journals The metabolomic scent of cancer disease progression in soft tissue sarcoma: A case report

2019 ◽  
Vol 34 (2) ◽  
pp. 205-209 ◽  
Author(s):  
Gianmaria Miolo ◽  
Debora Basile ◽  
Andrea Carretta ◽  
Davide Adriano Santeufemia ◽  
Agostino Steffan ◽  
...  
Keyword(s):  
Case Report ◽  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Disease Progression ◽  
Real Time ◽  
Time Analysis ◽  
Cancer Disease ◽  
Non Invasive ◽  
Real Time Analysis ◽  
Volatile Organic

Background: The purpose of this case report is to describe the potential that metabolomics breath analysis may have in cancer disease monitoring. The advances in mass spectrometry instrumentation allow the accurate real-time analysis of volatile metabolites exhaled in the breath. The application of such non-invasive devices may provide innovative and complementary monitoring of the physio-pathological conditions of cancer patients. Case presentation: A 59-year-old Caucasian woman with spindle cell malignant mesenchymal sarcoma of the presacral region started a first-line therapy with non-pegylated liposomal doxorubicin and ifosfamide associated with pelvic radiant treatment. After two cycles of chemotherapy plus radiotherapy, a significant pulmonary disease progression was reported. Thus, a second-line therapy with trabectedin was administered. However, after only two cycles of treatment a re-staging computed tomography scan reported further cancer disease progression of the target pulmonary lesions as well as occurrence of new satellite bilateral nodules. Real-time analysis of breath exhaled volatile organic compounds, performed by select ion flow tube mass spectrometry (SIFT-MS) during the follow-up of the patient, showed a specific metabolic pattern not observed in the breath of other soft tissue sarcoma patients who achieved clinical benefit from the treatments. Conclusions: This case report revealed the importance of the non-invasive real-time volatile organic compounds breath analysis to distinguish individual specific chemo-resistance phenotypes among soft tissue sarcoma patients. Such observation seems to suggest that breath metabolomics may be particularly useful for monitoring cancer disease progression in soft tissue sarcoma patients where only cost-effective diagnostic tools, such as positron emission tomography and computed tomography, are available.

scholarly journals Performance of Intraoperative Assessment of Resection Margins in Oral Cancer Surgery: A Review of Literature

2021 ◽  
Vol 11 ◽  
Author(s):  
Elisa M. Barroso ◽  
Yassine Aaboubout ◽  
Lisette C. van der Sar ◽  
Hetty Mast ◽  
Aniel Sewnaik ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Oral Cancer ◽  
Local Recurrence ◽  
Sensitivity And Specificity ◽  
Clinical Relevance ◽  
Cancer Surgery ◽  
Margin Status ◽  
Resection Margins ◽  
Intraoperative Assessment ◽  
Average Accuracy

IntroductionAchieving adequate resection margins during oral cancer surgery is important to improve patient prognosis. Surgeons have the delicate task of achieving an adequate resection and safeguarding satisfactory remaining function and acceptable physical appearance, while relying on visual inspection, palpation, and preoperative imaging. Intraoperative assessment of resection margins (IOARM) is a multidisciplinary effort, which can guide towards adequate resections. Different forms of IOARM are currently used, but it is unknown how accurate these methods are in predicting margin status. Therefore, this review aims to investigate: 1) the IOARM methods currently used during oral cancer surgery, 2) their performance, and 3) their clinical relevance.MethodsA literature search was performed in the following databases: Embase, Medline, Web of Science Core Collection, Cochrane Central Register of Controlled Trials, and Google Scholar (from inception to January 23, 2020). IOARM performance was assessed in terms of accuracy, sensitivity, and specificity in predicting margin status, and the reduction of inadequate margins. Clinical relevance (i.e., overall survival, local recurrence, regional recurrence, local recurrence-free survival, disease-specific survival, adjuvant therapy) was recorded if available.ResultsEighteen studies were included in the review, of which 10 for soft tissue and 8 for bone. For soft tissue, defect-driven IOARM-studies showed the average accuracy, sensitivity, and specificity of 90.9%, 47.6%, and 84.4%, and specimen-driven IOARM-studies showed, 91.5%, 68.4%, and 96.7%, respectively. For bone, specimen-driven IOARM-studies performed better than defect-driven, with an average accuracy, sensitivity, and specificity of 96.6%, 81.8%, and 98%, respectively. For both, soft tissue and bone, IOARM positively impacts patient outcome.ConclusionIOARM improves margin-status, especially the specimen-driven IOARM has higher performance compared to defect-driven IOARM. However, this conclusion is limited by the low number of studies reporting performance results for defect-driven IOARM. The current methods suffer from inherent disadvantages, namely their subjective character and the fact that only a small part of the resection surface can be assessed in a short time span, causing sampling errors. Therefore, a solution should be sought in the field of objective techniques that can rapidly assess the whole resection surface.

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
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