To determine the prevalence of weight concerns in individuals with BDD, and to examine similarities and differences between those with and those without weight concerns.
We assessed 200
participants ...with BDD for clinically significant weight concerns and compared those with weight concerns (in addition to other body area concerns) to those without weight concerns on measures of BDD symptoms, other symptom severity, comorbidity, suicidality, functioning, and quality of life.
58 (29.0%) participants had weight concerns. Participants with weight concerns were younger, more likely to be female, and had more body areas of concern; a higher frequency of certain BDD behaviors, suicide attempts, and comorbidity; greater body image disturbance and depression; and poorer social functioning. The two groups were similar on other measures.
Weight concerns in BDD deserve further study, as they appear relatively common and are associated with greater symptom severity and psychopathology in several domains.
DISC1 and the aggresome Atkin, Talia; Kittler, Josef
Autophagy,
05/2012, Volume:
8, Issue:
5
Journal Article
Peer reviewed
Open access
Disrupted in Schizophrenia 1 (DISC1) is a key susceptibility gene for major psychiatric disorders. DISC1 plays a role in key neuronal processes such as neuronal proliferation, migration, integration ...and function via DISC1's roles at the centrosome and synapse, and in the regulation of intracellular signaling pathways. Recently, the idea of protein aggregation as a disease mechanism for DISC1 has been suggested. In our recent paper we explore these DISC1 protein aggregates in cell lines and neurons and find they are recruited to the aggresome and cause disruption of DISC1 function in intracellular transport.
Background
Thin nodular melanoma (NM) often lacks conspicuous melanoma‐specific dermatoscopic criteria and escapes clinical detection until it progresses to a thicker and more advanced tumour.
...Objective
To investigate the dermatoscopic morphology of thin (≤2 mm Breslow thickness) vs. thick (>2 mm) NM and to identify dermatoscopic predictors of its differential diagnosis from other nodular tumours.
Methods
Retrospective, morphological case–control study, conducted on behalf of the International Dermoscopy Society. Dermatoscopic images of NM and other nodular tumours from 19 skin cancer centres worldwide were collected and analysed.
Results
Overall, 254 tumours were collected (69 NM of Breslow thickness ≤2 mm, 96 NM >2 mm and 89 non‐melanoma nodular lesions). Light brown coloration (50.7%) and irregular brown dots/globules (42.0%) were most frequently observed in ≤2 mm NMs. Multivariate analysis revealed that dotted vessels (3.4‐fold), white shiny streaks (2.9‐fold) and irregular blue structureless area (2.4‐fold) were predictors for thinner NM compared to non‐melanoma nodular tumours. Overall, irregular blue structureless area (3.4‐fold), dotted vessels (4.6‐fold) and serpentine vessels (1.9‐fold) were predictors of all NM compared to non‐melanoma nodular lesions.
Limitations
Absence of a centralized, consensus pathology review and cases selected form tertiary centres maybe not reflecting the broader community.
Conclusions
Our study sheds light into the dermatoscopic morphology of thin NM in comparison to thicker NM and could provide useful clues for its differential diagnosis from other non‐melanoma nodular tumours.
Background: The aim of this retrospective study was to determine the frequency of nevus-associated melanomas and to better characterize the preexisting nevus from a histopathologic, clinical and ...dermatoscopic point of view. Methods: We reviewed the histopathologic slides of a consecutive series of 357 melanomas and corresponding clinical and dermatoscopic images, if available. Results: We found that 31 (8.7%) melanomas were associated with a preexisting nevus, 284 (79.5%) melanomas developed de novo, and in 42 (11.8%) a preexisting nevus could not be excluded, although the alternative explanation that the entire lesion represented a melanoma was also possible. The preexisting nevus was a “superficial” or “superficial and deep” congenital nevus in 27 cases (87%) and a Clark nevus in 4 cases (13%). Clinical or dermatoscopic images were available in 149 (41.7%) cases. The preexisting nevus, if visible, looked inconspicuous clinically or dermatoscopically. The median invasion thickness of nevus-associated melanoma was not significantly different from “de novo” melanomas but the frequency of in situ melanomas was higher in the “de novo“ group (40.1% versus 16.1%). Patients with melanoma in association with a nevus were significantly younger (mean age=55 years, SD: 16 years) than patients with “de novo” melanomas (mean age=68 years SD: 15 years, p<0.001). When controlled for age and invasion thickness overall, survival did not differ significantly between patients with nevus-associated melanomas and patients with de novo melanomas. Conclusions: From a histomorphologic point of view, the majority of melanomas arise de novo. If melanomas develop in a preexisting nevus, they usually occur in association with a “superficial” or “superficial and deep” congenital nevus.
Fully automatic annotation of tennis game using broadcast video is a task with a great potential but with enormous challenges. In this paper we describe our approach to this task, which integrates ...computer vision, machine listening, and machine learning. At the low level processing, we improve upon our previously proposed state-of-the-art tennis ball tracking algorithm and employ audio signal processing techniques to detect key events and construct features for classifying the events. At high level analysis, we model event classification as a sequence labelling problem, and investigate four machine learning techniques using simulated event sequences. Finally, we evaluate our proposed approach on three real world tennis games, and discuss the interplay between audio, vision and learning. To the best of our knowledge, our system is the only one that can annotate tennis game at such a detailed level.
•Fully automatic annotation of real-world tennis video•State-of-the-art tennis ball tracking algorithm•An integration of computer vision, machine listening, and machine learning•The only system that can annotate tennis game at such a detailed level
Sequential digital dermoscopy (SDD) is applied for early melanoma detection by uncovering dynamic changes of monitored lesions. Convolutional neural networks (CNN) are capable of high diagnostic ...accuracies similar to trained dermatologists.
To investigate the capability of CNN to correctly classify melanomas originally diagnosed by mere dynamic changes during SDD.
A retrospective cross-sectional study using image quartets of 59 high-risk patients each containing one melanoma diagnosed by dynamic changes during SDD and three nevi (236 lesions). Two validated CNN classified quartets at baseline or after SDD follow-up at the time of melanoma diagnosis. Moreover, baseline quartets were rated by 26 dermatologists. The main outcome was the number of quartets with correct classifications.
CNN-1 correctly classified 9 (15.3%) and CNN-2 8 (13.6%) of 59 baseline quartets. In baseline images, CNN-1 attained a sensitivity of 25.4% (16.1%–37.8%) and specificity of 92.7% (87.8%–95.7%), whereas CNN-2 of 28.8% (18.8%–41.4%) and 75.7% (68.9%–81.4%). Expectedly, after SDD follow-up CNN more readily detected melanomas resulting in improved sensitivities (CNN-1: 44.1% 32.2%–56.7%; CNN-2: 49.2% 36.8%–61.6%). Dermatologists were told that each baseline quartet contained one melanoma, and on average, correctly classified 24 (22–27) of 59 quartets. Correspondingly, accepting a baseline quartet to be appropriately classified whenever the highest malignancy score was assigned to the melanoma within, CNN-1 and CNN-2 correctly classified 28 (47.5%) and 22 (37.3%) of 59 quartets, respectively.
The tested CNN could not replace the strategy of SDD. There is a need for CNN capable of integrating information on dynamic changes into analyses.
•Differentiating early melanomas from atypical nevi is challenging.•Sequential digital dermoscopy helps to uncover the dynamic changes in early melanomas.•CNN are equally accurate at diagnosing skin cancer than trained dermatologists.•The CNN of our study may not replace the strategy of sequential digital dermoscopy.•Development of CNN, including information on lesion evolution, seems indispensable.
To learn disentangled representations of facial images, we present a Dual Encoder-Decoder based Generative Adversarial Network (DED-GAN). In the proposed method, both the generator and discriminator ...are designed with deep encoder-decoder architectures as their backbones. To be more specific, the encoder-decoder structured generator is used to learn a pose disentangled face representation, and the encoder-decoder structured discriminator is tasked to perform real/fake classification, face reconstruction, determining identity and estimating face pose. We further improve the proposed network architecture by minimizing the additional pixel-wise loss defined by the Wasserstein distance at the output of the discriminator so that the adversarial framework can be better trained. Additionally, we consider face pose variation to be continuous, rather than discrete in existing literature, to inject richer pose information into our model. The pose estimation task is formulated as a regression problem, which helps to disentangle identity information from pose variations. The proposed network is evaluated on the tasks of pose-invariant face recognition (PIFR) and face synthesis across poses. An extensive quantitative and qualitative evaluation carried out on several controlled and in-the-wild benchmarking datasets demonstrates the superiority of the proposed DED-GAN method over the state-of-the-art approaches.
Temporally resolved measurements of transient phenomena in turbulent flames, such as extinction, ignition or flashback, require cinematographic sampling of two-dimensional scalar fields. Hereby, ...repetition rates must exceed typical flame-inherent frequencies. The high sensitivity planar laser-induced fluorescence (PLIF) has already proved to be a practical method for scalar imaging. The present study demonstrates the feasibility of generating tuneable narrowband radiation in the ultraviolet (UV) spectral range at repetition rates up to 5 kHz. Pulse energies were sufficiently high to electronically excite hydroxyl radicals (OH) produced in a partially-premixed turbulent opposed jet (TOJ) flame. Red-shifted fluorescence was detected two-dimensionally by means of an image-intensified CMOS camera. Sequences comprising up to 4000 frames per run were recorded. Besides statistically stationary conditions, extinction of a turbulent flame due to small Damkohler numbers is presented showing the potential of the technique.
FGFR1 overexpression has been associated with endocrine resistance in ER
breast cancer. We found FGFR1 localized in the nucleus of breast cancer cells in primary tumors resistant to estrogen ...suppression. We investigated a role of nuclear FGFR1 on gene transcription and antiestrogen resistance.
Tumors from patients treated with letrozole were subjected to Ki67 and FGFR1 IHC. MCF7 cells were transduced with FGFR1(SP-)(NLS) to promote nuclear FGFR1 overexpression. FGFR1 genomic activity in ER
/
-amplified breast cancer cells ± FOXA1 siRNA or ± the FGFR tyrosine kinase inhibitor (TKI) erdafitinib was examined by chromatin immunoprecipitation sequencing (ChIP-seq) and RNA sequencing (RNA-seq). The nuclear and chromatin-bound FGFR1 interactome was investigated by mass spectrometry (MS).
High nuclear FGFR1 expression in ER
primary tumors positively correlated with post-letrozole Ki67 values. Nuclear FGFR1 overexpression influenced gene transcription and promoted resistance to estrogen suppression and to fulvestrant
. A gene expression signature induced by nuclear FGFR1 correlated with shorter survival in the METABRIC cohort of patients treated with antiestrogens. ChIP-Seq revealed FGFR1 occupancy at transcription start sites, overlapping with active transcription histone marks. MS analysis of the nuclear FGFR1 interactome identified phosphorylated RNA-Polymerase II and FOXA1, with FOXA1 RNAi impairing FGFR1 recruitment to chromatin. Treatment with erdafitinib did not impair nuclear FGFR1 translocation and genomic activity.
These data suggest nuclear FGFR1 contributes to endocrine resistance by modulating gene transcription in ER
breast cancer. Nuclear FGFR1 activity was unaffected by FGFR TKIs, thus supporting the development of treatment strategies to inhibit nuclear FGFR1 in ER+/FGFR1 overexpressing breast cancer.
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