Facial Plast Surg
DOI: 10.1055/a-2597-6850
Original Article

Evaluation and Treatment Planning to Maximize Perioral, Submental, and Neck Aesthetics

1   Department of Otolaryngology-Head and Neck Surgery, Penn State Health Milton S. Hershey Medicine Center, Hershey, Pennsylvania
,
Aniruddha Parikh
1   Department of Otolaryngology-Head and Neck Surgery, Penn State Health Milton S. Hershey Medicine Center, Hershey, Pennsylvania
,
Jessyka G. Lighthall
1   Department of Otolaryngology-Head and Neck Surgery, Penn State Health Milton S. Hershey Medicine Center, Hershey, Pennsylvania
› Author Affiliations
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Abstract

Aims and Backgrounds

Aesthetic rejuvenation of the perioral, submental, and neck regions is a complex topic with multiple different treatment approaches. Aging changes in the skin, muscles, fat and soft tissue, and bones are driven by multiple internal and external factors. To obtain the best cosmetic outcome, a deep understanding of the perioral, submental, and neck region and proper patient evaluation are necessary. Here, we discuss the process of evaluating patients and planning treatment for perioral, submental, and neck rejuvenation.

Patient Selection

Patients presenting for evaluation of perioral, submental, and neck aging may have multiple aesthetic complaints. The approach to evaluating patients should be comprehensive and consistent. This involves careful history taking and consideration of medical co-morbidities, a thorough evaluation of the skin, tone, dynamic movement, and soft-tissue distribution of each subunit, and individualized pretreatment counseling to discuss risks and set expectations.

Techniques

An individualized plan may consist of either nonsurgical, surgical or a combination of approaches. Nonsurgical approaches excel at addressing aging skin, volume deficits, and overactivation of facial musculature. Surgical approaches address more severe manifestations of skin aging, uneven volume distribution, loss of contour in the jaw and neck, and bony deformities.

Declaration of GenAI Use

The authors did not use artificial intelligence (AI) for any part of this article.




Publication History

Accepted Manuscript online:
30 April 2025

Article published online:
14 May 2025

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