Skin thickness measurements increase with excision and biopsy processing procedures

Efficacy of endoscopic ultrasonography in evaluating tumor thickness in patients with superficial pharyngeal carcinoma: A pilot study

OBJECTIVES

A histopathological tumor thickness of ≥1000 μm has been reported as one of many risk factors for recurrent lymph node metastasis in superficial pharyngeal cancer (SPC). However, methods for assessing this risk factor preoperatively have not yet been established. Hence, the current study aimed to evaluate the efficacy of endoscopic ultrasonography (EUS) in measuring tumor thickness preoperatively in patients with SPC.

METHODS

This single-center retrospective study included 44 consecutive patients with 47 lesions who underwent endoscopic submucosal dissection (ESD). Prior to surgery, EUS examination was performed while under general anesthesia. Further, microvascular irregularity in the target lesion was evaluated using the Japan Esophageal Society (JES) magnification endoscopic classification system.

RESULTS

A significant correlation was noted between histopathological and EUS tumor thickness (Spearman's correlation r == 0.879, p < 0.001). In tumors ≥1000 µm thick on histopathology, the cutoff value for EUS tumor thickness was 2.6 mm, and the following values were obtained: sensitivity, 100%; specificity, 81.8%; positive predictive value (PPV), 70%; negative predictive value (NPV), 100%; and accuracy, 87.2%. In B2 lesions ≥1000-μm thick, the following values were obtained: sensitivity, 85.7%; specificity, 90.9%; PPV, 80%; NPV, 93.8%; and accuracy, 89.4%. The diagnostic accuracy rate of combined EUS and the JES magnifying endoscopic classification system was 95.7%.

CONCLUSIONS

Tumor thickness assessed using EUS was effective in diagnosing histopathological tumor thickness of ≥1000 μm. The combined use of EUS and the JES magnifying endoscopic classification system may be useful for assessing preoperative risk factors for lymph node metastasis in SPC.

Skin Ultrasound Measurement as a Potential Marker of Bone Quality: A Prospective Pilot Study of Patients undergoing Lumbar Spinal Fusion

Bone mineral density (BMD) is not the sole predictor of fracture development. Qualitative markers including bone collagen maturity contribute to bone fragility. Bone and related type I collagen containing connective tissues degenerate in parallel fashion. With aging, changes in skin collagen content and quality have been observed that can be detected on ultrasound (US) as a decrease in dermal thickness and an increase in reticular layer echogenicity. We hypothesized that US dermal thickness and echogenicity correlate with bone collagen maturity. Data of 43 prospectively enrolled patients (mean age 61 years, 24 females), who underwent instrumented, posterior lumbar fusion was analyzed. Besides preoperative quantitative computed tomography (QCT) and skin US measurements, intraoperative bone biopsies were obtained and analyzed with Fourier-transform infrared spectroscopy. Among men, there was no correlation between US measurements and collagen maturity. Among women, dermal layer thickness correlated negatively with collagen maturity in trabecular bone of the iliac crest (r = -0.51, p = 0.01) and vertebra (r = -0.59, p = 0.01) as well as in cortical bone of the iliac crest (r = -0.50, p = 0.02) and vertebra (r = -0.50, p = 0.04). In addition, echogenicity correlated positively with collagen maturity in trabecular vertebral bone (r = 0.59, p = 0.01). In both genders, US measurements showed no correlation with QCT BMD. In summary, ultrasound skin parameters are associated with bone quality factors such as collagen maturity, rather than bone quantity (BMD). Ultrasound of the skin may thereby be an easy and accessible take off point for diagnosis of bone collagen maturity and connective tissue degeneration in the future. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 37:2508-2515, 2019.

Quantifying the efficacy of first aid treatments for burn injuries using mathematical modelling and in vivo porcine experiments

First aid treatment of burns reduces scarring and improves healing. We quantify the efficacy of first aid treatments using a mathematical model to describe data from a series of in vivo porcine experiments. We study burn injuries that are subject to various first aid treatments. The treatments vary in the temperature and duration. Calibrating the mathematical model to the experimental data provides estimates of the thermal diffusivity, the rate at which thermal energy is lost to the blood, and the heat transfer coefficient controlling the loss of thermal energy at the interface of the fat and muscle. A limitation of working with in vivo experiments is the difficulty of measuring variations in temperature across the tissue layers. This limitation motivates us to use a simple, single layer mathematical model. Using the solution of the calibrated mathematical model we visualise the temperature distribution across the thickness of the tissue. With this information we propose a novel measure of the potential for tissue damage. This measure quantifies two important factors: (i) the volume of tissue that rises above the threshold temperature associated with the accumulation of tissue damage; and (ii) the duration of time that the tissue remains above this threshold temperature.