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Lipedema is a chronic disease seen frequently in women that causes abnormal fat deposition in the lower limbs and associated bruising and pain. Despite increasing knowledge concerning lipedema, there are still aspects of diagnosis that need further investigation. We performed a prospective, observational cohort study to describe prevalence of clinical characteristics present in patients with lipedema in an attempt to establish diagnostic criteria. Participants were consecutive patients with lipedema presenting at a public hospital in Spain from September 2012 to December 2019. Patients were examined for the following signs and symptoms of lipedema: symmetrical involvement; disproportion between the upper and lower part of the body; sparing of the feet; pain; bruising; Stemmer' sign; pitting test; fibrosis; venous insufficiency; upper limbs involvement; vascular spiders; skin coldness; and lymphangitis attacks. In addition, orthopedic alterations were examined in all patients. We recruited 138 patients (median age=47.6 years; mean BMI=29.9 Kg/m2). Using waist-to-height-ratio, 41.3% of the patients were slim or healthy. The most frequent type of lipedema was Type III (71%), and most were in stage 1 and 2. The features of lipedema with a prevalence >80% were symmetrical involvement, unaffected feet, pain, bruising, vascular spiders, and disproportion. Pain was nociceptive in 60.2% and neuropathic in 33.1%, and there was a reduced social or working activities in 37.9%. Orthopedic alterations including cavusfeet or valgus-knees were observed in 1/3 of the patients. X-ray of the knees was performed in 63 patients and knee osteoarthritis diagnosed in 37. We found that the most frequent manifestations of lipedema were bilateral involvement, unaffected feet, pain, easy bruising, vascular spiders, and disproportion between the upper and lower parts of the body. These should be considered as major criteria for diagnosis. In addition, our findings on the prevalence of orthopedic alterations in patients with lipedema highlights the need for a multidisciplinary and integrated approach.

BACKGROUND: Standard treatment for glioblastoma is radiation with concomitant and adjuvant temozolomide for six cycles, although the optimal number of cycles of adjuvant temozolomide has long been a subject of debate. We performed a phase II randomized, trial investigating whether extending adjuvant temozolomide for more than six cycles improved outcome.; METHODS: Glioblastoma patients treated at 20 Spanish hospitals who had not progressed after six cycles of adjuvant temozolomide were centrally randomized to stop (control arm) or continue (experimental arm) temozolomide up to a total of twelve cycles at the same doses they were receiving in cycle 6. Patients were stratified by MGMT methylation and measurable disease. The primary endpoint was differences in 6-month progression-free survival (PFS). Secondary endpoints were PFS, overall survival (OS) and safety. (Clinicaltrials.gov NCT02209948).; RESULTS: From August 2014 to November 2018, 166 patients were screened, seven of whom were ineligible. Seventy-nine patients were included in the stop arm and 80 in the experimental arm. All patients were included in the analyses of outcomes and of safety. There were no differences in 6-month PFS (control 55.7%; experimental 61.3%), PFS, or OS between arms. MGMT methylation and absence of measurable disease were independent factors of better outcome. Patients in the experimental arm had more lymphopenia (P < 0.001), thrombocytopenia (P < 0.001), and nausea and vomiting (P = 0.001).; CONCLUSIONS: Continuing temozolomide after six adjuvant cycles is associated with greater toxicity but confers no additional benefit in 6-month PFS. © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Purpose: To systematically review evidence regarding the association of multi-parametric biomarkers with clinical outcomes and their capacity to explain relevant subcompartments of gliomas. Materials and Methods: Scopus database was searched for original journal papers from January 1st, 2007 to February 20th , 2017 according to PRISMA. Four hundred forty-nine abstracts of papers were reviewed and scored independently by two out of six authors. Based on those papers we analyzed associations between biomarkers, subcompartments within the tumor lesion, and clinical outcomes. From all the articles analyzed, the twenty-seven papers with the highest scores were highlighted to represent the evidence about MR imaging biomarkers associated with clinical outcomes. Similarly, eighteen studies defining subcompartments within the tumor region were also highlighted to represent the evidence of MR imaging biomarkers. Their reports were critically appraised according to the QUADAS-2 criteria. Results: It has been demonstrated that multi-parametric biomarkers are prepared for surrogating diagnosis, grading, segmentation, overall survival, progression-free survival, recurrence, molecular profiling and response to treatment in gliomas. Quantifications and radiomics features obtained from morphological exams (T1, T2, FLAIR, T1c), PWI (including DSC and DCE), diffusion (DWI, DTI) and chemical shift imaging (CSI) are the preferred MR biomarkers associated to clinical outcomes. Subcompartments relative to the peritumoral region, invasion, infiltration, proliferation, mass effect and pseudo flush, relapse compartments, gross tumor volumes, and high-risk regions have been defined to characterize the heterogeneity. For the majority of pairwise cooccurrences, we found no evidence to assert that observed co-occurrences were significantly different from their expected co-occurrences (Binomial test with False Discovery Rate correction, alpha=0.05). The co-occurrence among terms in the studied papers was found to be driven by their individual prevalence and trends in the literature. Conclusion: Combinations of MR imaging biomarkers from morphological, PWI, DWI and CSI exams have demonstrated their capability to predict clinical outcomes in different management moments of gliomas. Whereas morphologic-derived compartments have been mostly studied during the last ten years, new multi-parametric MRI approaches have also been proposed to discover specific subcompartments of the tumors. MR biomarkers from those subcompartments show the local behavior within the heterogeneous tumor and may quantify the prognosis and response to treatment of gliomas.