Clinical Applications of the CO2 Laser in Neoplastic Lesions of the Aerodigestive Tract

1981 ◽  
Vol 74 (7) ◽  
pp. 802-804 ◽  
Author(s):  
ROBERT N. McGREW ◽  
SHARON S. GRAHAM
1984 ◽  
Vol 92 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Gerald B. Healy ◽  
M. Stuart Strong ◽  
Stanley Shapshay ◽  
Charles Vaughan ◽  
Geza Jako

The CO2 laser was first Introduced for surgery of the aerodigestive tract in 1971. Since that time, great advances in application have been made in both the adult and pediatric population. Recent reports of isolated complications have appeared in the literature. However, a realistic complication rate in a large series of patients has yet to be reported. This report relates the combined experience of the authors in a total of 4416 cases during the 11–year period from 1971 to 1982. There were nine instances of complications, representing a complication rate of 0.2%. These complications provided a unique learning experience for the authors, and led to the establishment of certain basic principles that should be followed in all laser operations. This survey indicates that the CO2 laser is a safe, extremely useful surgical modality in the aerodigestive tract.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ahmed Abdel Khalek Abdel Razek ◽  
Ahmed Alksas ◽  
Mohamed Shehata ◽  
Amr AbdelKhalek ◽  
Khaled Abdel Baky ◽  
...  

AbstractThis article is a comprehensive review of the basic background, technique, and clinical applications of artificial intelligence (AI) and radiomics in the field of neuro-oncology. A variety of AI and radiomics utilized conventional and advanced techniques to differentiate brain tumors from non-neoplastic lesions such as inflammatory and demyelinating brain lesions. It is used in the diagnosis of gliomas and discrimination of gliomas from lymphomas and metastasis. Also, semiautomated and automated tumor segmentation has been developed for radiotherapy planning and follow-up. It has a role in the grading, prediction of treatment response, and prognosis of gliomas. Radiogenomics allowed the connection of the imaging phenotype of the tumor to its molecular environment. In addition, AI is applied for the assessment of extra-axial brain tumors and pediatric tumors with high performance in tumor detection, classification, and stratification of patient’s prognoses.


1985 ◽  
Vol 5 (3) ◽  
pp. 389-392
Author(s):  
Hideyuki Shiba ◽  
Soichiro Asanami

2019 ◽  
Vol 33 (S1) ◽  
Author(s):  
Daniella Francon Curcio ◽  
Mirna Duarte Barros ◽  
Bianca Maria Liquidato ◽  
Carlos Jose Lazzarini Mendes ◽  
Julia Chaeves Cabral ◽  
...  

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