Kajal Mahto , Gaurav Kumar Goldar , Akash Varshney , Manu Malhotra , Madhu Priya , Amit Kumar , Bhinyaram , Ashok Singh , Abhishek Bhardwaj , G. Vetrivel , Subrata Nag , Amit Kumar Tyagi
{"title":"在口腔癌中使用 NBI 和白光可使浅表切除边缘呈阴性:这可能是一种常态吗?","authors":"Kajal Mahto , Gaurav Kumar Goldar , Akash Varshney , Manu Malhotra , Madhu Priya , Amit Kumar , Bhinyaram , Ashok Singh , Abhishek Bhardwaj , G. Vetrivel , Subrata Nag , Amit Kumar Tyagi","doi":"10.1016/j.oraloncology.2024.107044","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>In India, oral cavity cancer rates are the highest, largely due to tobacco and areca nut use. The primary goal of oncologic surgery is complete tumor resection with adequate margins, yet no accepted guidelines exist margin identification. NBI enhances mucosal lesion detection and may improve margin assessment in OSCC.</div></div><div><h3>Aims</h3><div>This study aims to evaluate the proportion of negative superficial resection margins using NBI and to compare these results with margins assessed using white light (WL) examination.</div></div><div><h3>Materials and Methods</h3><div>The study at AIIMS, Rishikesh, included 38 patients with T1-T3 biopsy-proven OSCC. Surgical margins were marked using WL and NBI. Histopathology classified margins as clear (>5mm), close (1–5 mm), or involved. Sensitivity, specificity, and predictive values of NBI were calculated.</div></div><div><h3>Results</h3><div>The average NBI examination duration was 227 s. Negative margins were achieved in 68.42 % (>5mm) and 78.94 % (>3mm) of NBI cases, compared to 71.05 % and 84.21 % for WL. NBI had a sensitivity of 12.50 %, specificity of 96.67 %, and overall accuracy of 78.95 %.</div></div><div><h3>Discussion</h3><div>NBI showed high specificity but low sensitivity. This could be due to the smaller number of patients in NBI positive group. In the present study, the single positive margin identified with NBI could also have been detected with the combined approach of white light and palpation, ensuring that no positive margins were missed.</div></div><div><h3>Conclusion</h3><div>NBI can complement WL for margin assessment in oral SCC but requires a long learning curve and a dedicated team. Integrating NBI into standard protocols could improve surgical outcomes and reduce recurrence.</div></div>","PeriodicalId":19716,"journal":{"name":"Oral oncology","volume":"159 ","pages":"Article 107044"},"PeriodicalIF":4.0000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Achieving negative superficial resection margins with NBI and white light in carcinoma oral cavity: Could it be a norm?\",\"authors\":\"Kajal Mahto , Gaurav Kumar Goldar , Akash Varshney , Manu Malhotra , Madhu Priya , Amit Kumar , Bhinyaram , Ashok Singh , Abhishek Bhardwaj , G. Vetrivel , Subrata Nag , Amit Kumar Tyagi\",\"doi\":\"10.1016/j.oraloncology.2024.107044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>In India, oral cavity cancer rates are the highest, largely due to tobacco and areca nut use. The primary goal of oncologic surgery is complete tumor resection with adequate margins, yet no accepted guidelines exist margin identification. NBI enhances mucosal lesion detection and may improve margin assessment in OSCC.</div></div><div><h3>Aims</h3><div>This study aims to evaluate the proportion of negative superficial resection margins using NBI and to compare these results with margins assessed using white light (WL) examination.</div></div><div><h3>Materials and Methods</h3><div>The study at AIIMS, Rishikesh, included 38 patients with T1-T3 biopsy-proven OSCC. Surgical margins were marked using WL and NBI. Histopathology classified margins as clear (>5mm), close (1–5 mm), or involved. Sensitivity, specificity, and predictive values of NBI were calculated.</div></div><div><h3>Results</h3><div>The average NBI examination duration was 227 s. Negative margins were achieved in 68.42 % (>5mm) and 78.94 % (>3mm) of NBI cases, compared to 71.05 % and 84.21 % for WL. NBI had a sensitivity of 12.50 %, specificity of 96.67 %, and overall accuracy of 78.95 %.</div></div><div><h3>Discussion</h3><div>NBI showed high specificity but low sensitivity. This could be due to the smaller number of patients in NBI positive group. In the present study, the single positive margin identified with NBI could also have been detected with the combined approach of white light and palpation, ensuring that no positive margins were missed.</div></div><div><h3>Conclusion</h3><div>NBI can complement WL for margin assessment in oral SCC but requires a long learning curve and a dedicated team. Integrating NBI into standard protocols could improve surgical outcomes and reduce recurrence.</div></div>\",\"PeriodicalId\":19716,\"journal\":{\"name\":\"Oral oncology\",\"volume\":\"159 \",\"pages\":\"Article 107044\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oral oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1368837524003622\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oral oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1368837524003622","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
Achieving negative superficial resection margins with NBI and white light in carcinoma oral cavity: Could it be a norm?
Introduction
In India, oral cavity cancer rates are the highest, largely due to tobacco and areca nut use. The primary goal of oncologic surgery is complete tumor resection with adequate margins, yet no accepted guidelines exist margin identification. NBI enhances mucosal lesion detection and may improve margin assessment in OSCC.
Aims
This study aims to evaluate the proportion of negative superficial resection margins using NBI and to compare these results with margins assessed using white light (WL) examination.
Materials and Methods
The study at AIIMS, Rishikesh, included 38 patients with T1-T3 biopsy-proven OSCC. Surgical margins were marked using WL and NBI. Histopathology classified margins as clear (>5mm), close (1–5 mm), or involved. Sensitivity, specificity, and predictive values of NBI were calculated.
Results
The average NBI examination duration was 227 s. Negative margins were achieved in 68.42 % (>5mm) and 78.94 % (>3mm) of NBI cases, compared to 71.05 % and 84.21 % for WL. NBI had a sensitivity of 12.50 %, specificity of 96.67 %, and overall accuracy of 78.95 %.
Discussion
NBI showed high specificity but low sensitivity. This could be due to the smaller number of patients in NBI positive group. In the present study, the single positive margin identified with NBI could also have been detected with the combined approach of white light and palpation, ensuring that no positive margins were missed.
Conclusion
NBI can complement WL for margin assessment in oral SCC but requires a long learning curve and a dedicated team. Integrating NBI into standard protocols could improve surgical outcomes and reduce recurrence.
期刊介绍:
Oral Oncology is an international interdisciplinary journal which publishes high quality original research, clinical trials and review articles, editorials, and commentaries relating to the etiopathogenesis, epidemiology, prevention, clinical features, diagnosis, treatment and management of patients with neoplasms in the head and neck.
Oral Oncology is of interest to head and neck surgeons, radiation and medical oncologists, maxillo-facial surgeons, oto-rhino-laryngologists, plastic surgeons, pathologists, scientists, oral medical specialists, special care dentists, dental care professionals, general dental practitioners, public health physicians, palliative care physicians, nurses, radiologists, radiographers, dieticians, occupational therapists, speech and language therapists, nutritionists, clinical and health psychologists and counselors, professionals in end of life care, as well as others interested in these fields.