The Novel Surgical Margin for One Step Melanoma Surgery (OSMS) (Without Using Ultrasonography Preoperatively): The End of Conformity! ʺVivere militare est!ʺ
Author(s) -
Georgi Tchernev,
Ivanka Temelkova
Publication year - 2018
Publication title -
open access macedonian journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 17
ISSN - 1857-9655
DOI - 10.3889/oamjms.2018.288
Subject(s) - medicine , ultrasonography , margin (machine learning) , surgery , computer science , machine learning
Innovations in medicine are often due to the simplicity of a certain activity, interaction, even counteraction, or a mistake leading to a subsequent final optimal outcome. Innovations could also be due to conclusions based on targeted clinical or sporadic, as well as completely random observations. The genius of an approach or statement is often based on the "iron logic", which in turn is based on irrefutable data or facts. These are often observations or results from actions that happen right before our eyes and provide advantages or prerequisites for the better future development of things (in this case, disease) concerning certain groups of people (in these case-patients). When the clinical results achieved following an inevitable introduction of certain methods or innovations speak eloquently of a number of advantages in terms of 1) spearing effect on the patients, 2) better control or prevention of possible local and/or distant metastatic spread 3) better financial balance for the health institutions and patients, …, then even the "Gods of certain latitudes" should be silenced. We at this moment present a completely new method or approach for surgical treatment of cutaneous melanoma that once again proves the effectiveness of one-step melanoma surgery, which was successfully first officialised in the world literature again by the Bulgarian Society of Dermatologic Surgery, (BULSDS). In some cases, this method does not even require the preoperative use of a high-frequency ultrasound for determining the tumour thickness.
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