Intra-operative assessment of tumor resection margins by Raman spectroscopy to guide oral cancer surgery (Conference Presentation)

2020 ◽  
Author(s):  
Gerwin J. Puppels ◽  
Elisa M. L. Barroso ◽  
Yassine Aaboubout ◽  
Maria Rosa Nunes Soares ◽  
Viacheslav G. Artyushenko ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Oral Cancer ◽  
Tumor Resection ◽  
Cancer Surgery ◽  
Resection Margins ◽  
Operative Assessment

scholarly journals PO-095 Objective intra-operative assessment of resection margins in Head and Neck cancer surgery

2019 ◽  
Vol 132 ◽  
pp. 48-49
Author(s):  
Y. Aaboubout ◽  
E.M.L. Barroso ◽  
C.G.F. Van Lanschot ◽  
T. Bakker Schut ◽  
I. Ten Hove ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Cancer Surgery ◽  
Resection Margins ◽  
Operative Assessment

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.

scholarly journals Water Concentration Analysis by Raman Spectroscopy to Determine the Location of the Tumor Border in Oral Cancer Surgery

2016 ◽  
Vol 76 (20) ◽  
pp. 5945-5953 ◽  
Author(s):  
Elisa M. Barroso ◽  
Roeland W.H. Smits ◽  
Cornelia G.F. van Lanschot ◽  
Peter J. Caspers ◽  
Ivo ten Hove ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Oral Cancer ◽  
Water Concentration ◽  
Cancer Surgery

scholarly journals Detecting tumour-positive resection margins after oral cancer surgery by spraying a fluorescent tracer activated by gamma-glutamyltranspeptidase

Oral Oncology ◽  
2018 ◽  
Vol 78 ◽  
pp. 1-7 ◽  
Author(s):  
Maxime D. Slooter ◽  
Henricus J.M. Handgraaf ◽  
Martin C. Boonstra ◽  
Lily-Ann van der Velden ◽  
Shadhvi S. Bhairosingh ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Cancer Surgery ◽  
Resection Margins ◽  
Fluorescent Tracer ◽  
Positive Resection Margins

scholarly journals Resection margins in oral cancer surgery: Room for improvement

Head & Neck ◽  
2015 ◽  
Vol 38 (S1) ◽  
pp. E2197-E2203 ◽  
Author(s):  
Roeland W.H. Smits ◽  
Senada Koljenović ◽  
Jose A. Hardillo ◽  
Ivo ten Hove ◽  
Cees A. Meeuwis ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Cancer Surgery ◽  
Resection Margins

Microbiology of wound infection after oral cancer surgery

2020 ◽  
Vol 48 (7) ◽  
pp. 700-705
Author(s):  
Margita Belusic-Gobic ◽  
Arijan Zubovic ◽  
Anamarija Predrijevac ◽  
David Harmicar ◽  
Robert Cerovic ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Wound Infection ◽  
Cancer Surgery

scholarly journals Feasibility of MR Metabolomics for Immediate Analysis of Resection Margins during Breast Cancer Surgery

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e61578 ◽  
Author(s):  
Tone F. Bathen ◽  
Brigitte Geurts ◽  
Beathe Sitter ◽  
Hans E. Fjøsne ◽  
Steinar Lundgren ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Resection Margins ◽  
Immediate Analysis

scholarly journals Textbook outcome for esophageal cancer surgery: an international consensus-based update of a quality measure

2021 ◽  
Author(s):  
Marianne C Kalff ◽  
Mark I van Berge Henegouwen ◽  
Suzanne S Gisbertz
Keyword(s):  
Esophageal Cancer ◽  
Cancer Surgery ◽  
Quality Measure ◽  
Resection Margins ◽  
International Consensus ◽  
Term Survival ◽  
Intraoperative Complication ◽  
Esophageal Cancer Surgery ◽  
Perioperative Course

Summary Textbook outcome for esophageal cancer surgery is a composite quality measure including 10 short-term surgical outcomes reflecting an uneventful perioperative course. Achieved textbook outcome is associated with improved long-term survival. This study aimed to update the original textbook outcome based on international consensus. Forty-five international expert esophageal cancer surgeons received a personal invitation to evaluate the 10 items in the original textbook outcome for esophageal cancer surgery and to rate 18 additional items divided over seven subcategories for their importance in the updated textbook outcome. Items were included in the updated textbook outcome if ≥80% of the respondents agreed on inclusion. In case multiple items within one subcategory reached ≥80% agreement, only the most inclusive item with the highest agreement rate was included. With a response rate of 80%, 36 expert esophageal cancer surgeons, from 34 hospitals, 16 countries, and 4 continents responded to this international survey. Based on the inclusion criteria, the updated quality indicator ‘textbook outcome for esophageal cancer surgery’ should consist of: tumor-negative resection margins, ≥20 lymph nodes retrieved and examined, no intraoperative complication, no complications Clavien–Dindo ≥III, no ICU/MCU readmission, no readmission related to the surgical procedure, no anastomotic leakage, no hospital stay ≥14 days, and no in-hospital mortality. This study resulted in an international consensus-based update of a quality measure, textbook outcome for esophageal cancer surgery. This updated textbook outcome should be implemented in quality assurance programs for centers performing esophageal cancer surgery, and could standardize quality measures used internationally.

Kinetics of indocyanine green: Optimizing tumor to normal tissue fluorescence in image‐guided oral cancer surgery applications

Head & Neck ◽  
2018 ◽  
Vol 41 (4) ◽  
pp. 1032-1038 ◽  
Author(s):  
Yuxin Wang ◽  
Diya Xie ◽  
Ziyang Wang ◽  
Xudong Zhang ◽  
Qian Zhang ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Indocyanine Green ◽  
Normal Tissue ◽  
Cancer Surgery ◽  
Image Guided ◽  
Tissue Fluorescence ◽  
Kinetics Of
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