Correct Identification Research Articles

Relationship between metacognitive skills and career exploration outcome expectations: mediating role of parental and peer attachment styles

BackgroundEarly career development—the first stage of an individual’s journey to get to know themselves and their profession—is very important in the career choice process. The correct identification of the variables that influence this process is valuable for the healthy continuation of the developmental process. This study examined whether maternal, paternal, and peer attachment styles play a mediating role in explaining career exploration outcome expectations of metacognitive skills.MethodsThe hypotheses created for this purpose were examined within the framework of the correlational/relational design of quantitative research models. The target population comprised students studying in secondary schools in Turkey in 2023, and the sample comprised 318 individuals—168 boys and 150 girls—selected using convenience sampling method. SPSS 25.0 Process Macro 4.1 version “Model 6,” developed by Hayes, was used for multiple mediation analysis.ResultsMetacognitive skills positively and significantly predicted career exploration outcome expectations and maternal and paternal attachment styles, but not peer attachment style. Maternal, paternal, and peer attachment styles did not significantly explain career exploration outcome expectations. Finally, maternal, paternal, and peer attachment styles did not significantly mediate the relationship between metacognitive skills and career exploration outcome expectations.ConclusionThese results show that individuals’ metacognitive skills play an important role in the process of career exploration and goal setting. Moreover, individuals’ metacognitive skills have a stronger association with family ties than with peer relationships. However, individuals’ ties to their mothers, fathers, and peers are not a determining factor in the formation of individuals’ expectations about their careers. Additionally, the relationship between metacognitive skills and career exploration outcome expectations occurs directly, independent of maternal, paternal, and peer attachment styles. Thus, individual characteristics, rather than social factors, such as family or peer relationships, play a significant role in shaping individuals’ expectations about career exploration.

Flow-cytometric MRD detection in pediatric T-ALL: a multicenter AIEOP-BFM consensus-based guided standardized approach.

Risk-based stratification approaches using measurable residual disease (MRD) successfully help to identify T-acute lymphoblastic leukemia (T-ALL) patients at risk of relapse, whose treatment outcomes are very poor. Because of T-ALL heterogeneity and rarity, a reliable and standardized approach for flow cytometry (FC)-based MRD measurement and analysis is often missing. Within the international AIEOP-BFM-ALL-FLOW study group we made a consensus on markers and a standard operating procedure for common 8- and 12-color T-ALL MRD panels. Custom manufactured tubes with dried backbone antibodies were tested in parallel to local FC standards. Altogether, 66 diagnostic and 67day 15 samples were analyzed. We designed two guided MRD gating strategies to identify blast cells in parallel to expert-based evaluation. We proved that the optimized tubes allowed the correct identification of blast cells in all diagnostic samples. Both, expert and guided analysis of day 15 samples correlated to local standard (Spearman R=0.98 and R=0.94, respectively). Only in 2 (3 %) and 4 (6 %) patients expert gating and guided analysis results were substantially discordant from local standard, respectively. The cases that require an individualized approach may be partially identified at diagnosis through a rare immunophenotype or mixed phenotype acute leukemia status. Our work shows that standardized operating procedures together with guided analysis are applicable in a great majority of T-ALL cases. Further improvement of MRD detection is needed, as in some cases an individualized analytical approach is still required due to the challenging nature of the T-ALL phenotype.

Effects of electro-acoustic stimulation on gated word recognition

Objective The objective of this study was to determine how the presentation of unprocessed speech, either ipsilaterally (to simulate electro-acoustic stimulation, EAS) or contralaterally (to simulate bimodal stimulation), alongside vocoder-processed speech affects the efficiency of spoken word processing. Method Gated word recognition was performed under four listening conditions: full-spectrum speech, vocoder-processed speech, electro-acoustic stimulation (EAS), and bimodal stimulation. In the EAS condition, low-frequency unprocessed speech and high-frequency vocoder-processed speech were presented to the same ear, while in the bimodal condition, full-spectrum speech was presented to one ear and vocoder-processed speech to the other. Results Listeners identified target words accurately with just over half of the word duration in the full-spectrum condition, whereas nearly the entire word was required for correct identification with vocoder-processed speech. Combining full-spectrum speech and vocoder-processed speech, whether ipsilaterally or contralaterally, led to significant improvements in gated word recognition. Full-spectrum speech yielded the best-gated word recognition performance, followed by bimodal stimulation, with intermediate results from EAS and the lowest performance from the vocoder condition. Conclusion Inherent limitations in CI spectral resolution can impair spoken word processing. Adding acoustic stimulation can improve gated word recognition performance. Bimodal stimulation significantly enhances lexical processing timing compared to EAS in one ear.

A masked study to differentiate in vivo confocal microscopic features of Pythium insidiosum and fungal filaments.

A masked study to differentiate in vivo confocal microscopic features of Pythium insidiosum and fungal filaments.

Subclassification of second-degree tears at delivery: creation and reported outcomes

BackgroundPerineal tears at delivery are common. The current WHO classification system compacts all the varying extents of second-degree tears into one code. Some tears lead to long-term injuries. The correct identification and classification of disease is necessary for correct clinical management as well as for research. Regulatory standards govern care practices. This article describes the process of creating and testing new subclassifications for second-degree tears at delivery.MethodsThe development and implementation of new subclassifications of second-degree perineal tears after delivery in Sweden are described. The new classification was tested for incidence and relevance via the national perineal laceration register (PLR) in 11,203 women with prospectively recorded second degree tears.ResultsSecond-degree tears after delivery are subdivided into four subgroups according to the anovaginal distance and the extent in length and depth of the largest perineal/vaginal tear, which can be combined with uni-or bilateral levator ani avulsion. Women with larger second-degree tears were more likely than women with smaller tears to report complications after eight weeks (OR 1.41 CI 1.21–1.64, p < 0.001) and one year (OR 1.27, CI 1.1–1.46, p < 0.001).ConclusionDetailed subclassifications of perineal and vaginal tears are implemented in the Swedish ICD-10 coding system and Swedish national registers. The outcomes after second-degree tears differ according to their extent, which corroborates the classification rationale. These subclassifications can be used in studies of preventive measures, treatment and patient-reported outcomes and experiences taking into account the extent of second-degree perineal tears at delivery.Trial registrationData regarding women were prospectively collected from the National perineal laceration register (PLR) from January 1, 2021, to December 31, 2022.

Comparing the number-needed-to-biopsy ratio for melanoma diagnosis forartificial intelligence as a medical device, teledermatology and face-to-face models of care.

This is the first UK study to compare the number needed to biopsy (NNB) ratio for melanoma diagnosis for three different care models, with incorporation of artificial intelligence as a medical device (AIaMD) alongside teledermatology. We present encouraging results from our centre with NNB ratios that are comparable between all three models and lower than the average NNB ratio reported in a worldwide meta-analysis. We highlight the priority of AIaMD in correct identification of benign lesions and encourage further work to improve and validate performance to maintain patient safety. Finally, we give consideration to a hybrid model to streamline current pathways as a potential strategy to deal with rising demands on the urgent skin cancer service.

Impact of rapid identification by MALDI-TOF MS from positive blood cultures in Enterococcus spp. bloodstream infections.

Regarding bloodstream infections (BSI) Enterococcus spp. rank among the top five most common organisms. Due to enterococci intrinsic resistance, empiric antibiotic therapy is often inappropriate and early identification becomes crucial. Our objective was to assess the clinical impact of MALDI-TOF identification directly from positive blood cultures (BC) in Enterococcus spp. BSI (E-BSI). A retrospective cohort study included all adult patients with E-BSI from 2010 to 2017 in a tertiary hospital. ID consultation within 48h and MALDI-TOF identification directly from BC within 24h were inclusion criteria. The primary outcome was antimicrobial treatment change following MALDI-TOF and secondary outcomes included 30-day and 1-year mortality, length of stay (LOS) and antimicrobial de-escalation. Among 267 BSI episodes, E. faecalis was isolated in 130 episodes (48.7%), E. faecium in 122 (45.7%), and 104 (39%) were polymicrobial. Empiric antibiotic therapy was inappropriate in 60.3% of patients. The LOS was 36 (IQR 20-64) days, 30-day and 1-year mortality were 16.1% and 43.4%, respectively. Enterococci identification with MALDI-TOF at the species level was possible in 66.3% cases and in 73% of monomicrobial cases. Antibiotics were changed in 85.3% of the former vs. 63.3% in remaining patients (p < 10- 4), and de-escalation occurred in 35% of subjects (vs. 12.2%,p = 10- 4). Changing antibiotics after correct identification was associated with a shorter LOS. In multivariate analysis, appropriate antibiotic therapy before MALDI-TOF was protective against 30-day mortality (aOR 0.40(0.08-1.96)), and appropriate antibiotic therapy afterwards against 1-year mortality (aOR 0.21(0.05-0.84)). In E-BSI, direct MALDI-TOF identification from positive BC has a significant clinical impact due to a more frequent antibiotic spectrum correction and de-escalation. This may improve patient outcomes, reducing LOS and potentially mortality. Not applicable.

EXPLORING REGULARIZATION AND CHANNEL OPTIMIZATION IN MOTOR IMAGERY EEG

Through electroencephalography (EEG) signals, motor imagery (MI) can be seen as a non-invasive channel via which people direct their psychological activity to interact with the environment in an unmanual way, so they are valuable instruments for BCIs. EEG signals, on the other hand, present difficulties in correct identification and modeling since they have a low signal-to-noise ratio and are nonstationary. Whereas earlier works center on the use of CNN as a determining factor for the emergence of multimodal selection, this study compares the efficacy of classical machine learning techniques against deep learning methods: ANNs and their hybrids on connecting motor imagery performance. Furthermore, it delves into fusion of ensemble and hybrid models that improve performance across several iterations. The outcomes reveal that although CNN-based approaches offer strong spatial and temporal birth disambiguation, better precision and usefulness result from combining conventional and deep learning models, therefore surpassing those based on CNN. The study emphasizes how critical it is for innovative techniques to address brain signal problems and in which potential ways they could be further verified in BCI uses.

Frozen Section Analysis in Submandibular Gland Tumors: Optimizing Intraoperative Decision-Making

Introduction: With around 25 different salivary gland tumor entities described by the World Health Organization, the correct preoperative identification of masses as benign or malignant remains a challenge. If preoperative needle biopsy is inconclusive, frozen section analysis is a possible alternative for accurate histological identification. The purpose of our study was to evaluate the diagnostic effectiveness of frozen section performed for primary submandibular gland masses. Methods: In addition to acquiring epidemiological data from patients who underwent submandibular gland excision over a 20-year period, we analyzed the diagnostic effectiveness of frozen section performed for submandibular gland masses. We also examined the impact of frozen section on overall survival. Furthermore, we investigated whether there was an impact on the surgical revision rate for malignant submandibular gland masses that required additional neck dissection within the submandibular triangle. Results: Frozen section was performed for 54 submandibular gland tumors, with a specificity of 100% and a sensitivity of 81.3%. Frozen section was conducted in 12 cases of primary salivary gland malignancies, of which 9 cases were identified correctly. In three cases, the frozen section results were inconclusive. We calculated a relative risk reduction of 27% for revision surgery by performing frozen section. There was no significant association between frozen section results and overall survival. Conclusions: Frozen section demonstrates a significant reduction in the need for revision surgery. With a specificity of 100%, frozen section is especially suited to identifying benign masses. It is a valid diagnostic tool when preoperative sampling is not possible or is inconclusive.

Temporal Fine Structure and Working Memory Abilities on Deciding the Probable Compression Speed in Hearing Aids

Background and Aim: Temporal Fine Structure (TFS) sensitivity and Working Memory (WM) abilities have been widely studied individually as the contributing factors for deciding compression speed in hearing aids. The study aimed to develop a clinical framework for setting optimal compression speed using combination of TFS sensitivity and WM abilities. Methods: Participants were 25 native Kannada-speaking adults (mean age 70 years). We evaluated the participant’s TFS sensitivity using the TFS -Adaptive Frequency (AF) and WM abilities using reading span test. Further, aided sentence recognition in noise was tested to obtain find the signal-to-noise ratio 50% (SNR 50) correct identification happens in Fast Acting Compression (FAC) and Slow Acting Compression (SAC) modes. Results: Individuals with good TFS sensitivity demonstrated significantly lower SNR 50 scores with FAC and individuals with poor WM showed significantly lower SNR 50 with SAC. However, individuals with poor TFS sensitivity and individuals with good WM ability showed no significance on SNR 50 obtained between FAC and SAC. A strong negative correlation existed between TFS sensitivity and SNR 50 in both SAC and FAC modes even after accounting for WM abilities. There was a mild negative correlation between WM abilities and SNR 50 in FAC mode only, but this was not significant after accounting for TFS sensitivity. Conclusion: Using the results of the present study along with the literature findings, a clinical framework was devised to enable the selection of appropriate compression speed for optimal speech understanding with hearing aids.Keywords: Release time; amplification; speech in noise; elderly; hearing-impaired

Utility and Value of Movement Recording with Combined EEG-EMG Monitoring in the Intensive Care Unit.

Continuous electroencephalographic (EEG) monitoring has become a standard of care in several contexts in the intensive care unit (ICU), especially for the management of refractory status epilepticus. ICU patients often present movement disorders that may be of epileptic or nonepileptic origin, and their correct identification is crucial for the diagnostic and therapeutic process. Video analysis is often insufficient to precisely detect or characterize movement disorders and the ICU environment is prone to many artifacts. Combined EEG electromyogram (EMG) monitoring can enhance the detection of epileptic seizures with subtle motor expression and help identify nonepileptic movement disorders, such as postanoxic myoclonus, dystonia, or tremor. We will review the various scenarios in which combined EEG-EMG monitoring is useful in routine ICU practice. We also provide a practical guide for easily placing surface EMG electrodes during continuous EEG recording, along with clinical examples to illustrate the significance of this combined approach.

Microscopic Characterization of Achillea santolina L. Flower Through Light Microscopy and Scanning Electron Microscopy.

This study is a comprehensive account of microscopic assessment of flower of Achillea santolina L., a medicinally important species of the genus Achillea from Pakistan. The study was aimed to provide data for the quality control and standardization of A. santolina L. flower. The microscopic characterization has been carried out through light microscopy and scanning electron microscopy. Various characteristic histological features of phyllaries, ray floret, disc floret, anther wall, filament, stigma, style, and ovary were observed. The pollens were found as tricolporate, spheroidal while the surface ornamentation was echinate. Qualitative and quantitative palyno-anatomical assessment was carried out through scanning electron microscopy. The exine thickness and the width of spines were calculated. The P/E ratio characterized the shape of pollen as oblate-spheroidal and sub-oblate in polar and equatorial views respectively. The elemental analysis of the flower through SEM-EDX showed the presence of various elements. Phytochemical screening of flower showed the presence of carbohydrates, flavonoids, fixed oils, glycosides, phenols, steroids, tannins, terpenoids, and coumarins. UV-vis spectra of the ethanol extract showed characteristics peaks in both ultraviolet and visible regions. This work will provide a standard reference for the correct identification of A. santolina L. an important aspect in the quality control. Additionally, the data produced by phytochemical, elemental and florescence analysis, and UV-visible spectroscopy will help in developing standards for this herb that will be useful for research and development and manufacturing of herbal products.

Rash Decisions: Improving Pediatrician Skills in Dermatologic Diagnosis.

Rash Decisions: Improving Pediatrician Skills in Dermatologic Diagnosis.

Modulation Format Identification Utilizing Polar-Coordinate-System-Based Features for Digital Coherent Receivers

Modulation format identification (MFI) is one of the most critical functions embedded in digital coherent receivers in elastic optical networks (EONs). In view of inherent amplitude and phase characteristics of received signals, different modulation formats exhibit a set of notable features in the polar coordinate system, based on which an MFI scheme incorporating the Gaussian weighted k-nearest neighbors (KNN) algorithm was proposed to identify polarization division multiplexed (PDM)-QPSK/-16QAM/-32QAM/-64QAM/-128QAM signals. The performance of the proposed scheme was numerically verified in 28GBaud coherent optical communication systems. The numerical simulation results show that, to achieve 100% correct identification rates for all of the five modulation formats, the required minimum optical signal-to-noise ratios (OSNRs) were less than their relevant thresholds corresponding to the 20% forward error correction (FEC). The tolerable ranges of the residual chromatic dispersion (CD) for QPSK, 16QAM, 32QAM, 64QAM, and 128QAM were −1920 ps/nm~1920 ps/nm, −720 ps/nm~360 ps/nm, −1200 ps/nm~1680 ps/nm, −600 ps/nm~360 ps/nm, and −600 ps/nm~480 ps/nm, respectively. Meanwhile, the results demonstrate the maximum tolerable differential-group delay (DGD) for the QPSK, 16QAM, 32QAM, 64QAM, and 128QAM signals were 34 ps, 16 ps, 20 ps, 6 ps, and 1.2 ps, respectively. In addition, the simulated results also show that the proposed MFI scheme is robust against the fiber nonlinearities, even if the launch power is increased to 4 dBm.

Combined tumor-associated microbiome and immune gene expression profiling predict response to neoadjuvant chemo-radiotherapy in locally advanced rectal cancer

ABSTRACT Locally advanced rectal cancer (LARC) is treated with neoadjuvant chemo-radiotherapy (nCRT) followed by surgery. A minority of patients show complete response (CR) to nCRT and may avoid surgery and its functional consequences. Instead, most patients show non-complete response (non-CR) and may benefit from additional treatments to increase CR rates. Reliable predictive markers are lacking. Aim of this study was to identify novel signatures predicting nCRT responsiveness. We performed a combined analysis of tumor-associated microbiome and immune gene expression profiling of diagnostic biopsies from 70 patients undergoing nCRT followed by rectal resection, including 16 with CR and 54 with non-CR. Findings were validated by an independent cohort of 49 patients, including 7 with CR and 42 with non-CR. Intratumoral microbiota significantly differed between CR and non-CR groups at genus and species level. Colonization by bacterial species of Ruminococcus genera was consistently associated with CR, whereas abundance of Fusobacterium, Porhpyromonas, and Oscillibacter species predicted non-CR. Immune gene profiling revealed a panel of 59 differentially expressed genes and significant upregulation of IFN-gamma and -alpha response in patients with CR. Integrated microbiome and immune gene profiling analysis unraveled clustering of microbial taxa with each other and with immune cell-related genes and allowed the identification of a combined signature correctly identifying non-CRS in both cohorts. Thus, combined intratumoral microbiome-immune profiling improves the prediction of response to nCRT. Correct identification of unresponsive patients and of bacteria promoting responsiveness might lead to innovative therapeutic approaches based on gut microbiota pre-conditioning to increase nCRT effectiveness in LARC.

Identification of anatomical locations: its relevance for vibrotactile perception of individuals with Parkinson's disease

BackgroundVibrotactile input is a useful sensory cue for individuals with Parkinson's Disease (PD) to overcome freezing of gait (FoG). For this input to serve as a cue, its accurate perception is required. This needs the input to be delivered at an anatomical location where it can be perceived. This is particularly true for individuals with PD whose tactile perception differs from that of healthy individuals. Literature indicates choice of various anatomical locations e.g., Finger, Wrist, Thigh, Shin, Calf, Ankle, Achilles Tendon, Heel and torso for the application of vibrotactile stimulation. Though studies have focused on the comparison of the vibrotactile perception (based on feedback) at various anatomical locations, yet these have involved only healthy individuals. However, such exploration remains as majorly untouched for individuals with PD.MethodsTo bridge this gap, here we have conducted a study using our vibrotactile stimulation system while involving twenty-one individuals with PD to understand the choice of anatomical location with regard to vibrotactile perception. In addition, our study involved twenty-one age-matched healthy individuals to understand possible differences if any in vibrotactile perception between the two groups of participants.ResultsOur results showed that for the healthy participants, both 'Wrist' and 'Thigh' were equally strong anatomical locations with regard to vibrotactile perception that were correctly identified 100% of the time closely followed by ‘Finger’ for which the correct identification was 98% of the time with correct identification for all these three locations being statistically (p < 0.05) higher than the other locations. In contrast, for individuals with PD, the 'Thigh' emerged as a strong candidate anatomical location with regard to vibrotactile perception even for those with severity of symptoms (based on clinical measure) that was correctly identified 96% of the time followed by ‘Wrist’ for which the correct identification was 92% of the time with the correct identification for only the ‘Thigh’ being statistically (p < 0.05) higher than all the other locations (except ‘Wrist’).ConclusionThis finding is clinically significant in deciding the right anatomical location to offer vibrotactile cues for it to be correctly perceived by one with PD, providing assistance to overcome FoG.

Low-complexity detection for MIMO visible light communication system using generalized spatial modulation

In this paper, the detection algorithms of two generalized spatial modulation (GSM) schemes in a multiple-input multiple-output (MIMO) visible light communication (VLC) system are developed and analyzed. The considered optical GSM schemes are GSM with Transmit Diversity (GSM-TD) and GSM with Multi-Stream (GSM-MS). By allowing each activated LED to transmit independent temporal symbols simultaneously, GSM-MS benefits from higher bits per channel use (bpcu) than the GSM-TD scheme. Existing maximum likelihood (ML) detection algorithm is computationally prohibitive; hence, we develop a two-stage (identification followed by detection) receiver that decodes the spatial and temporal symbols in a sequential manner. In the first stage, we propose two algorithms, namely subspace tracking and spatial matched filtering (SMF), to identify the indices of activated LEDs, while in the second stage, effective matched filter (EMF) and decorrelating detector are employed to extract temporal symbols for GSM-TD and GSM-MS scheme, respectively. The performance assessment, including the computation load, correct identification probability and the average symbol error rate (SER), is comprehensively evaluated by computation simulation. It is shown that the complexity of the proposed two detection algorithms is extensively reduced compared with the ML algorithm. It is also demonstrated that ML detector offers the best SER performance; nevertheless, SER of the proposed algorithms approaches ML detector in high signal-to-noise ratio (SNR) or large receiver array size scenarios.

Insight into the larva of the greater wax moth Galleria mellonella as a model organism, with a pictorial key for identifying larval stages

A thorough knowledge of the larval stages of a model organism such as the greater wax moth Galleria mellonella is essential for researchers in various fields in the biological, pharmaceutical, medical and agricultural sciences. This is particularly important for the correct identification of the different larval stages: this will ensure reproducibility of results when individuals of a given stage are used in experiments. Knowledge of their morphology also has potential value in phylogenetic analyses. To address the urgent need for such knowledge, the development of G. mellonella larvae was tracked from the first to the eighth stage. This paper provides (i) a detailed description of the morphology, including the chaetotaxy, of the hitherto completely unknown first-stage (L1) larvae, with particular emphasis on adhesive structures, including those described for lepidopterans for the first time; (ii) a supplement to Smith’s (1965) description of the morphology of the last stage (L8); (iii) a list of macroscopic and ultrastructural features of morphological structures that undergo changes during larval development from the first stage to the eighth; and (iv) a pictorial, user-friendly key to all the larval instars (from L1 to L8) which has been developed based on metric and qualitative diagnostic characters, chiefly the head capsule width, the colour of the pronotum and the presence of an ecdysial line on it, the body shape and the presence of club-shaped setae, the arrangement of crochets on the prolegs, and the colour of the dorsal sclerites.

NaturAr: A Collaborative, Open-Source Database of Natural Products from Argentinian Biodiversity for Drug Discovery and Bioprospecting.

Since the early stages of modern medicine, natural products have been a source of inspiration for the development of bioactive compounds. Around half of the approved small-molecule drugs trace their origins to natural products or their derivatives, highlighting the importance of their correct classification and identification. The information generated by the experimental groups is not usually unified and is available only in publications or general databases, where the compounds are not linked to their natural sources. To address this need, numerous natural product databases specific to distinct geographic regions have emerged. In this work, we introduce NaturAr, a natural products database dedicated to the cataloging of the rich biodiversity of Argentina. At the time of submission, 243 papers were reviewed, leading to a database of more than 1200 compounds from all across the country. A distinctive quality of this database is its collaborative and open-source framework, which promotes contributions from the research community. NaturAr is freely available online at https://naturar.quimica.unlp.edu.ar.

Safety, Effectiveness, and Participant Satisfaction With Multiple Simultaneous Cryolipolysis Treatments Using a Dual-Applicator Cryolipolysis System.

Cryolipolysis is a safe, effective, and noninvasive treatment for subcutaneous fat reduction. Assess safety, effectiveness, and participant satisfaction with multiple simultaneous dual-applicator cryolipolysis treatments on the torso. Adult participants received multiple simultaneous treatments to the torso (i.e., flanks, abdomen, back/bra area). Primary effectiveness end point was ≥70% correct identification of baseline versus week 12 post-final treatment photographs by ≥2 of 3 independent reviewers; safety end point was frequency of adverse device effects (ADEs). Secondary end points included fat layer thickness reduction and participant satisfaction/comfort. Mean participant age (N = 35) was 40.4 years, 77.1% were female, and mean body mass index was 24.9 kg/m2. A mean of 20.8 treatment cycles were received over 2 treatment sessions. The primary effectiveness end point was met; 75% of pretreatment images were correctly identified. Mean reduction in fat layer thickness was 0.33 cm. Most ADEs were mild, with no serious events. Mean overall participant satisfaction with the procedure was 82.8%. Mean maximum pain scores were 2.6 and 4.1 (scale of 10) during treatment sessions 1 and 2, respectively. Multiple simultaneous cryolipolysis treatments on the torso using a dual-applicator system were safe and effective, with high overall participant satisfaction.