Cutaneous Angiosarcoma of the Scalp: A Case Report of Sustained Complete Response Following Liposomal Doxorubicin and Radiation Therapy

Cutaneous angiosarcomas of the head and neck are aggressive cancers with a mean overall survival of 30 months. We add to the literature a case report of a 65-year-old man with a large, >10 cm, unresectable, angiosarcoma of the scalp who was treated with two cycles of liposomal doxorubicin (Caelyx®) followed by electron beam radiation therapy (30 Gy in 10 fractions over 2 weeks) who has sustained a complete response with a 4-year follow-up. The dose and fractionation of the radiation therapy in this case was palliative and was not expected to give lasting local control of this lesion. It is therefore possible that either the genetic profile of the tumour conferred radiosensitivity or that the radiation therapy induced a recall phenomenon of the liposomal doxorubicin

Towards applying NMR relaxometry as a diagnostic tool for bone and soft tissue sarcomas : a pilot study

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 668119 (project “IDentIFY”). This work received support from the EURELAX COST Action CA15209, supported by COST (European Cooperation in Science and Technology). The authors would like to thank Professor David Lurie for his continuous support.Peer reviewedPublisher PD

Correlates of exercise motivation and behavior in a population-based sample of endometrial cancer survivors: an application of the Theory of Planned Behavior

<p>Abstract</p> <p>Background</p> <p>Despite evidence of the benefits of exercise in cancer survivors, exercise participation rates tend to decline after treatments. Few studies have examined the determinants of exercise in less common cancer sites. In this study, we examined medical, demographic, and social cognitive correlates of exercise in endometrial cancer survivors using the Theory of Planned Behavior (TPB).</p> <p>Methods</p> <p>A mailed survey was completed by 354 endometrial cancer survivors (1 to 10 years postdiagnosis) residing in Alberta, Canada. The study was cross-sectional. Exercise behavior was assessed using the Godin Leisure Time Exercise Questionnaire and the TPB constructs were assessed with standard self-report scales. Multiple regression analyses were used to determine the independent associations of the TPB constructs with intention and behavior.</p> <p>Results</p> <p>Chi-square analyses indicated that marital status (<it>p </it>= .003), income level (<it>p </it>= .013), and body mass index (BMI) (<it>p </it>= .020) were associated with exercise. The TPB explained 34.1% of the variance in exercise behavior with intention (<it>β </it>= .38, <it>p </it>< .001) and self-efficacy (<it>β </it>= .18, <it>p </it>= .029) being independent correlates. For intention, 38.3% of the variance was explained by the TPB with self-efficacy (<it>β </it>= .34, <it>p </it>< .001) and affective attitude (<it>β </it>= .30, <it>p </it>< .001) being the independent correlates. The TPB mediated the associations of marital status and BMI with exercise but not income level. Age and BMI moderated the associations of the TPB with intention and behavior.</p> <p>Conclusion</p> <p>The TPB may be a useful framework for understanding exercise in endometrial cancer survivors. Exercise behavior change interventions based on the TPB should be tested in this growing population.</p

Analysis of musculoskeletal and breast tumours by fast field-cycling MRI

Peer reviewedPublisher PD

Medical Applications of Fast Field Cycling MRI

Non peer reviewedPublisher PD

Comparison of magnetic resonance imaging and computed tomography for breast target volume delineation in prone and supine positions

Purpose To\ua0determine whether T2-weighted MRI improves seroma cavity (SC) and whole breast (WB) interobserver conformity for radiation therapy purposes, compared with the gold standard of CT, both in the prone and supine positions. Methods and Materials Eleven observers (2 radiologists and 9 radiation oncologists) delineated SC and WB clinical target volumes (CTVs) on T2-weighted MRI and CT supine and prone scans (4 scans per patient) for 33 patient datasets. Individual observer's volumes were compared using the Dice similarity coefficient, volume overlap index, center of mass shift, and Hausdorff distances. An average cavity visualization score was also determined. Results Imaging modality did not affect interobserver variation for WB CTVs. Prone WB CTVs were larger in volume and more conformal than supine CTVs (on both MRI and CT). Seroma cavity volumes were larger on CT than on MRI. Seroma cavity volumes proved to be comparable in interobserver conformity in both modalities (volume overlap index of 0.57\ua0(95% Confidence Interval (CI) 0.54-0.60) for CT supine and 0.52\ua0(95% CI 0.48-0.56) for MRI supine, 0.56\ua0(95% CI 0.53-0.59) for CT prone and 0.55\ua0(95% CI 0.51-0.59) for MRI prone); however, after registering modalities together the intermodality variation (Dice similarity coefficient of 0.41\ua0(95% CI 0.36-0.46) for supine and 0.38\ua0(0.34-0.42) for prone) was larger than the interobserver variability for SC, despite the location typically remaining constant. Conclusions Magnetic resonance imaging interobserver variation was comparable to CT for the WB CTV and SC delineation, in both prone and supine positions. Although the cavity visualization score and interobserver concordance was not significantly higher for MRI than for CT, the SCs were smaller on MRI, potentially owing to clearer SC definition, especially on T2-weighted MR images

Efficient Identification of Critical Residues Based Only on Protein Structure by Network Analysis

Despite the increasing number of published protein structures, and the fact that each protein's function relies on its three-dimensional structure, there is limited access to automatic programs used for the identification of critical residues from the protein structure, compared with those based on protein sequence. Here we present a new algorithm based on network analysis applied exclusively on protein structures to identify critical residues. Our results show that this method identifies critical residues for protein function with high reliability and improves automatic sequence-based approaches and previous network-based approaches. The reliability of the method depends on the conformational diversity screened for the protein of interest. We have designed a web site to give access to this software at http://bis.ifc.unam.mx/jamming/. In summary, a new method is presented that relates critical residues for protein function with the most traversed residues in networks derived from protein structures. A unique feature of the method is the inclusion of the conformational diversity of proteins in the prediction, thus reproducing a basic feature of the structure/function relationship of proteins