Changes in the aging upper lip--a photomorphometric and MRI-based study (on a quest to find the right rejuvenation approach).

BACKGROUND: A lack of scientific data about the complex three dimensional changes in relation to the rest of the face is the reason for the multitude of rejuvenation approaches to the aging upper lip. In this study the underlying anatomic changes and facial proportions of the senile upper lip are scientifically evaluated for the first time. METHODS: (1) In 182 standardized subject photographs proportions of the upper lip were measured, compared to facial dimensions and correlated to age. (2) In cranial MRI scans of 30 women aged 20-35 and 30 women aged 65-80 relevant anatomical dimensions were measured. RESULTS: Both studies showed a statistically significant lengthening of the aging upper lip. The photomorphometric study further shows an increase of prolabium skin at the cost of a decreasing visible upper lip vermilion. The MRI scans showed a decrease in thickness. A loss of volume could not be shown. CONCLUSION: Isolated volume augmentation is not a causal method of upper lip rejuvenation and it may therefore rather lead to an unnatural 'blown up' look.

Detection of pulmonary nodules with move-during-scan magnetic resonance imaging using a free-breathing turbo inversion recovery magnitude sequence.

PURPOSE: Detection of pulmonary metastases is still a challenging task for magnetic resonance imaging (MRI). It was the aim of this study to evaluate the potential of a free-breathing move-during-scan turbo inversion recovery magnitude sequence for the detection of pulmonary nodules. MATERIALS AND METHODS: The sensitivities and positive-predictive values of 2 radiologists to detect pulmonary nodules in 41 move-during-scan MRI examinations of 38 patients with different malignancies were calculated and subgroup analyses according to lesion size and localization were performed. Multidetector computed tomography served as the standard of reference. Additionally, 6 radiologists rated the confidence for the presence of nodular lesions in 212 regions-of-interest, which were randomly selected to represent lesions of various sizes as well as negative findings. Receiver-operator-characteristic was performed. RESULTS: Three hundred twenty-one nodules were found in 30 patients by multidetector computed tomography. Sensitivity and specificity of MRI to detect pulmonary nodules larger than 3 mm on a per-patient basis were 81.8% and 94.7%, respectively. On a per-lesion basis, MRI revealed a sensitivity of 79.0% to 80.7% for lesions larger than 3 mm, if high conspicuity ratings were counted as positive, and 84.6%, if medium and high conspicuity ratings were counted as positive. Sensitivity increased uniformly with lesion size, and all lesions larger than 12 mm were detected. Receiver-operator-characteristic analysis revealed a mean accuracy of 0.90 and sensitivities over 90% for lesions larger than 3 mm with a specificity of 96.1%. For lesions larger than 6 mm the accuracy was 0.99. CONCLUSION: Detection of pulmonary nodules with a move-during-scan turbo inversion recovery magnitude sequence is feasible. Excellent detection of lesions larger than 6 mm is achievable with free-breathing moving-table MRI.