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1.
J Plast Reconstr Aesthet Surg ; 65(10): 1292-7, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22658728

ABSTRACT

The ideal treatment of the nasolabial fold, the tear trough, the labiomandibular fold and the mentolabial sulcus is still discussed controversially. The detailed topographical anatomy of the fat compartments may clarify the anatomy of facial folds and may offer valuable information for choosing the adequate treatment modality. Nine non-fixed cadaver heads in the age range between 72 and 89 years (five female and four male) were investigated. Computed tomographic scans were performed after injection of a radiographic contrast medium directly into the fat compartments surrounding prominent facial folds. The data were analysed after multiplanar image reconstruction. The fat compartments surrounding the facial folds could be defined in each subject. Different arrangement patterns of the fat compartments around the facial rhytides were found. The nasolabial fold, the tear trough and the labiomandibular fold represent an anatomical border between adjacent fat compartments. By contrast, the glabellar fold and the labiomental sulcus have no direct relation to the boundaries of facial fat. Deep fat, underlying a facial rhytide, was identified underneath the nasolabial crease and the labiomental sulcus. In conclusion, an improvement by a compartment-specific volume augmentation of the nasolabial fold, the tear trough and the labiomandibular fold is limited by existing boundaries that extend into the skin. In the area of the nasolabial fold and the mentolabial sulcus, deep fat exists which can be used for augmentation and subsequent elevation of the folds. The treatment of the tear trough deformity appears anatomically the most challenging area since the superficial and deep fat compartments are separated by an osseo-cutaneous barrier, the orbicularis retaining ligament. In severe cases, a surgical treatment should be considered. By contrast, the glabellar fold shows the most simple anatomical architecture. The fold lies above one subcutaneous fat compartment that can be used for augmentation.


Subject(s)
Facial Muscles/anatomy & histology , Nasolabial Fold/anatomy & histology , Rhytidoplasty/methods , Subcutaneous Fat/anatomy & histology , Subcutaneous Fat/surgery , Adipose Tissue/anatomy & histology , Adipose Tissue/transplantation , Aged , Aged, 80 and over , Cadaver , Dissection , Esthetics , Face/anatomy & histology , Face/surgery , Facial Muscles/surgery , Female , Humans , Imaging, Three-Dimensional , Male , Nasolabial Fold/surgery , Skin Aging , Tomography, X-Ray Computed/methods
2.
J Clin Neurosci ; 18(1): 34-8, 2011 Jan.
Article in English | MEDLINE | ID: mdl-20851611

ABSTRACT

Brain metastases are the most common intracranial tumors. Overall, the only accepted prognostic factors are patient age and performance status. However, several other factors are considered before surgery. We performed a retrospective analysis of 309 patients who underwent surgical resection of newly diagnosed brain metastases between 1994 and 2004. Univariate survival analysis revealed age, performance status, extracranial metastases, complete resection, radiotherapy and re-craniotomy as prognostic indicators. Multivariate analysis determined that patient age, performance status, extracranial metastases, radiotherapy and re-craniotomy are independent factors of prolonged survival. We statistically estimated the age threshold separating patients with favorable outcomes from those with unfavorable prognoses. Using the Kaplan-Meier analysis this threshold can be set at 65 years. Multivariate analysis of patients >65 years revealed the presence of co-morbidities, the number of brain metastases, post-operative performance status and radiotherapy as independent prognostic factors.


Subject(s)
Brain Neoplasms/mortality , Brain Neoplasms/secondary , Brain Neoplasms/surgery , Brain/surgery , Adult , Age Factors , Aged , Aged, 80 and over , Brain/pathology , Brain Neoplasms/radiotherapy , Cranial Irradiation , Craniotomy , Female , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Multivariate Analysis , Prognosis , Risk Factors , Statistics, Nonparametric , Treatment Outcome
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