A surgical innovation’s impact depends not only on the outcomes it achieves but on how widely those outcomes can be replicated. Dr. Andrew Jacono has devoted considerable effort to making the extended deep-plane facelift accessible to the broader surgical community through a structured program of teaching, publishing, and professional engagement that extends well beyond his own operating room.
The Jacono Method Goes Global
Dr. Jacono conducts master classes and delivers lectures at major international plastic surgery conferences, a curriculum he refers to as The Jacono Method. The training transfers the technical principles behind his extended deep-plane approach to surgeons seeking to adopt it. The method’s complexity, operating beneath the SMAS to release retaining ligaments and reposition facial structures as a connected unit, requires detailed instruction that goes beyond what journal articles alone can convey.
In 2021, Dr. Andrew Jacono published The Art and Science of Extended Deep Plane Facelifting, a medical textbook that synthesizes findings from more than 2,000 procedures. The publication documents technical decisions, anatomical considerations, and outcome benchmarks, giving surgeons a comprehensive reference for implementing the technique. His peer-reviewed research, beginning with a 2011 study in Aesthetic Surgery Journal, established the evidence foundation that makes the training credible rather than proprietary.
Volume Enables Expertise
Dr. Jacono performs approximately 250 extended deep-plane facelifts annually. This case load does more than refine his own practice. It generates the volume of experience from which technical improvements emerge, producing insights that feed back into training programs and future publications. Surgeons within the field recognized this expertise when Dr. Paul Nassif chose Dr. Andrew Jacono for his own deep-plane facelift in 2018. The choice by a fellow surgeon carries implicit endorsement of both the technique and the practitioner, a form of professional validation that peer-reviewed data alone cannot confer. Read this article for more information.
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