Search

Penile Mondor's disease is a rare condition characterized by sclerosing thrombophlebitis of the superficial dorsal penile vein. Usually its causes are benign, but it is also evident in cancer patients. We report the case of a 62-year-old man with a cT4 anal cancer (infiltration of corpora spongiosa and penile bulb), associated with extensive loco-regional lymphadenopathy, who developed painful lumps in the midline of the anterior penile surface while receiving radical chemoradiotherapy. Physical examination revealed two palpable cord-like swellings located 2 cm from the pubic symphysis. Color Doppler ultrasound established the diagnosis of Mondor's disease. The patient was successfully managed with non-steroidal anti-inflammatory drugs. The causative factors were pelvic malignancy and radiotherapy. The diagnosis was challenging since Mondor's disease is a rare condition and the differential diagnosis included malignancy progression. This is the first case report describing penile Mondor's disease in a patient with anal cancer under chemoradiotherapy.

During a human brain MRI acquisition the resulting image is formed out of 2D slices. The slices must then be aligned and reconstructed to provide a 3-dimensional (3D) visualization of the brain volume. We propose in this work, an integrated system for the register ion and 3D reconstruction of DICOM MRI images and lesions of the brain acquired from multiple sclerosis (MS) subjects at two different time intervals (time 0 (T0) and time 1 (T1)). The system facilitates the follow up of the MS disease development and will aid the doctor to accurately manage the follow up of the disease. It involves a 6-stage analysis (preprocessing, lesion segmentation, registration, 3D reconstruction, volume estimation and method evaluation), as well as module quantitative evaluation of the method. The system was evaluated based on one MRI phantom and one DICOM MRI image of the brain. The accuracy of the proposed registration and reconstruction (- / -) method was 78.5%/97.2% and 95.4%/95.8% for the phantom and the MRI images respectively. These preliminary results provide evidence that the proposed system could be applied in future in the clinical practice.

Introduction Mean Fractional Anisotropy (FA) along with Longitudinal and Transverse Apparent Diffusion Coefficients (ADC) are the established measures in assessing white matter (WM) integrity in TBI patients. A question is raised whether mean FA performs better than Shannon Entropy (SE) as a measure of discrimination between controls and patients with moderate to severe TBI. Purpose To assess WM integrity in moderate to severe TBI patients utilizing the established diffusion tensor measures, and compare FA with Shannon Entropy as measures of assessment of WM integrity. Materials and methods A group of 13 patients with moderate to severe TBI, 2–8 years post-ictus, has been compared with a group of 14 matched healthy controls. Diffusion Tensor Imaging (DTI) data were obtained at 3T with a pulse sequence employing 32 diffusion-encoding gradient directions. After data preprocessing, Tract Based Spatial Statistics (FSL-FMRIB) for FA, whole-brain histogram analysis for SE and Receiver Operating Curve (ROC) analysis for both FA and SE have been performed. Results Higher axial and transverse diffusivity and lower FA have been observed in TBI patients ( p P = 0.007), Global mean FA (0.8, P = 0.0066) and SE (0.8, p = 0.008). Conclusion Axial and transverse diffusivity are increased in TBI patients compared to controls. Diffuse Axonal Injury (DAI) is evident as global reduction of FA in TBI patients, which is driven by increased transverse diffusion changes. No significant difference is observed between FA and SE in TBI patient discrimination. Disclosure The authors declare no conflicts of interest including financial, consultant, institutional, and other relationships that might lead to bias or a any other conflict of interest. This work was supported by the Cyprus Research Promotion Foundation through a grant co-funded by the Cyprus Government and the European Regional Development Fund (F.C., PI; NEW INFRASTRUCTURE/STRATEGIC/0309/37). The authors would like to thank the study volunteers who participated in the project.