6 research outputs found
Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers -- A multi-institutional evaluation
Accurate and automatic segmentation of fibroglandular tissue in breast MRI
screening is essential for the quantification of breast density and background
parenchymal enhancement. In this retrospective study, we developed and
evaluated a transformer-based neural network for breast segmentation (TraBS) in
multi-institutional MRI data, and compared its performance to the well
established convolutional neural network nnUNet. TraBS and nnUNet were trained
and tested on 200 internal and 40 external breast MRI examinations using manual
segmentations generated by experienced human readers. Segmentation performance
was assessed in terms of the Dice score and the average symmetric surface
distance. The Dice score for nnUNet was lower than for TraBS on the internal
testset (0.9090.069 versus 0.9160.067, P<0.001) and on the external
testset (0.8240.144 versus 0.8640.081, P=0.004). Moreover, the
average symmetric surface distance was higher (=worse) for nnUNet than for
TraBS on the internal (0.6572.856 versus 0.5482.195, P=0.001) and on
the external testset (0.7270.620 versus 0.5840.413, P=0.03). Our
study demonstrates that transformer-based networks improve the quality of
fibroglandular tissue segmentation in breast MRI compared to
convolutional-based models like nnUNet. These findings might help to enhance
the accuracy of breast density and parenchymal enhancement quantification in
breast MRI screening
Investigating racing thoughts in insomnia: : A neglected piece of the mood-sleep puzzle?
BACKGROUND: Cognitive arousal is thought to play a key role in insomnia disorder. However, although patients frequently complain about racing thoughts appearing at bedtime, studies have considered 'cognitive arousal' as a synonym of rumination and worry, but not as racing thoughts per se. The latter have been mainly linked to hypomanic/manic episodes of bipolar disorder (BD). Here we aimed at investigating self-reported racing thoughts in insomnia disorder, and their specific contribution to insomnia severity, as compared to worry and rumination.METHODS: 72 adults with insomnia disorder, 49 patients with BD in a hypomanic episode and 99 healthy individuals completed the Racing and Crowded Thoughts Questionnaire (RCTQ). Mood symptoms were assessed in patients with insomnia disorder.RESULTS: RCTQ scores were overall higher in insomnia disorder, especially in sleep-onset insomnia, compared to the hypomanic and healthy groups. Moreover, racing thoughts showed an increase in the evening and at bedtime in sleep-onset insomnia. Importantly, racing thoughts at bedtime, but not rumination and worry, were associated with insomnia severity.DISCUSSION: Our results are the first to show that racing thoughts is a transdiagnostic symptom in mood and sleep disorders. Racing thoughts, not only rumination and worry, might contribute to the maintenance of sleep difficulties in insomnia.Clinical trials' registration number: NCT04752254
Organic geochemistry, stable isotopes, and facies analysis of the Early Aptian OAE—New records from Spain (Western Tethys)
The Early Aptian Oceanic Anoxic Event (OAE1a) is a time interval characterized by increased organic carbon
accumulation in marine sediments, notable sedimentary and biotic changes, and abrupt carbon-isotope
excursions indicative of significant major palaeoenvironmental changes linked to a perturbation in the global
carbon cycle. Here we present the study of four sections recording the OAE1a (Early Aptian) in Spain, which
are located in two broad basins respectively located in the South and the North of Iberia: the Southern Iberian
Palaeomargin (Carbonero, La Frontera and Cau sections) and the Basque–Cantabrian Basin (Puentenansa
section), which represent depositional settings ranging from shallow marine (distal ramp -Cau- and drowned
platform -Puentenansa-) to pelagic environments (Carbonero, La Frontera). Biomarker compositions,
C-isotope profiles, biostratigraphic data and facies analysis from the four sections are correlated and integrated.
The C-isotope curves all present a clear negative excursion followed by a positive shift. The integration of
the C-isotope curves with the biostratigraphic data has been used to correlate the studied sections and to tentatively
identify the eight segments formerly proposed from the Alpine domain, and subsequently identified
in sections worldwide. Four main groups of compounds are present in all sections: n-alkanes, isoprenoids,
hopanes and steranes. n-Alkanes and acyclic isoprenoids (pristane and phytane) are dominant in most samples.
The hopanes are represented by a range of C27 to C35 components,with the specific isomers varying amongst the
sections due to differences in thermal maturity. Steranes occur as a range of C27, C28 and C29 isomers, whereas
diasteranes only occur in the most thermally mature section (Carbonero). Other compounds of interest include
gammacerane and dinosterane. Differences in thermal maturity appear to be the first order control on different
biomarker assemblages amongst the studied sections. The Carbonero section is thermally mature, whereas the
nearby La Frontera and Cau sections are immature. Puentenansa has intermediate values. Organic matter is derived
from a range of terrestrial, marine and bacterial sources. The dominance of the C29 sterane isomers in all
sections suggests a strong contribution from higher plants. The presence of gammacerane indicates water column
stratification, and high C29/C30 hopane ratios suggest anoxia at the water/sediment interface, respectively.
Sedimentologic analysis also suggests anoxic conditions during sedimentation, but evidence for strong and persistent
water column anoxia is equivocal. The correlation of the sections reveals that sedimentation of
organic-rich facies started earlier in pelagic and later in the shallow marine settings, which can be related to
an expansion of the favorable conditions for organic matter accumulation and preservation from deep marine
waters to shallower platform environments during the development of OAE1a