Category: Nevin Manimala

Headache. 2023 Aug 19. doi: 10.1111/head.14611. Online ahead of print.

ABSTRACT

OBJECTIVE: We developed an artificial intelligence (AI)-based headache diagnosis model using a large questionnaire database in a headache-specializing clinic.

BACKGROUND: Misdiagnosis of headache disorders is a serious issue and AI-based headache diagnosis models are scarce.

METHODS: We developed an AI-based headache diagnosis model and conducted internal validation based on a retrospective investigation of 6058 patients (4240 training dataset for model development and 1818 test dataset for internal validation) diagnosed by a headache specialist. The ground truth was the diagnosis by the headache specialist. The diagnostic performance of the AI model was evaluated.

RESULTS: The dataset included 4829/6058 (79.7%) patients with migraine, 834/6058 (13.8%) with tension-type headache, 78/6058 (1.3%) with trigeminal autonomic cephalalgias, 38/6058 (0.6%) with other primary headache disorders, and 279/6058 (4.6%) with other headaches. The mean (standard deviation) age was 34.7 (14.5) years, and 3986/6058 (65.8%) were female. The model’s micro-average accuracy, sensitivity (recall), specificity, precision, and F-values for the test dataset were 93.7%, 84.2%, 84.2%, 96.1%, and 84.2%, respectively. The diagnostic performance for migraine was high, with a sensitivity of 88.8% and c-statistics of 0.89 (95% confidence interval 0.87-0.91).

CONCLUSIONS: Our AI model demonstrated high diagnostic performance for migraine. If secondary headaches can be ruled out, the model can be a powerful tool for diagnosing migraine; however, further data collection and external validation are required to strengthen the performance, ensure the generalizability in other outpatients, and demonstrate its utility in real-world settings.

PMID:37596885 | DOI:10.1111/head.14611

Lupus. 2023 Aug 19:9612033231195953. doi: 10.1177/09612033231195953. Online ahead of print.

ABSTRACT

OBJECTIVES: To investigate whether shorter telomere length is a causal risk factor for systemic lupus erythematosus (SLE) in the Asian population.

METHODS: We applied the two-sample Mendelian randomization (MR) method to the pooled statistics from a genome-wide association study (GWAS) of 6,707 SLE cases and 16,047 controls. We selected nine single-nucleotide polymorphisms (SNPs) with genome-wide significance as instrumental variables for telomere length. The main analysis was carried out by the random-effects inverse-variance weighted (IVW) method. Horizontal pleiotropy was evaluated by the intercept of MR-Egger regression.

RESULTS: A potentially causal relationship between longer genetically predicted telomere length and increased risk of systemic lupus erythematosus (OR = 1.72, 95%CI: 1.21, 2.46, p = 0.01) was observed. The MR-Egger regression demonstrated an intercept proximal to zero (intercept = 0.017, p = 0.69), which does not provide evidence of the presence of horizontal pleiotropy.

CONCLUSIONS: Our findings provided evidence supporting a potential causal relationship between longer telomere length and increased risk of systemic lupus erythematosus.

PMID:37596879 | DOI:10.1177/09612033231195953

Ear Nose Throat J. 2023 Aug 19:1455613231194131. doi: 10.1177/01455613231194131. Online ahead of print.

ABSTRACT

OBJECTIVE: This study compared the effects of radiofrequency (RF) coblation and cold steel (CS) surgery for the treatment of Reinke’s edema (RE).

METHODS: A retrospective analysis was conducted on 61 patients with RE, with 33 (54.1%) in the CS surgery group and 28 (45.9%) in the RF coblation group. The primary endpoints were the bilateral operation time and dyspnea severity, assessed preoperatively and at 1 and 3 months postoperatively. Secondary endpoints included subjective and objective vocal assessments, laryngovideostroboscopy (LVS) images, and Voice Handicap Index-10 (VHI-10) scores obtained before and at 1 and 3 months postoperatively.

RESULTS: The average bilateral operation time was significantly shorter in the RF coblation group (24.2 ± 3.9 min) compared to the CS group (38.4 ± 5.2 min) (P = .041). All patients experienced a decrease in their Dyspnea Severity Index (DSI) scores postoperatively, with no significant differences observed between the two groups at any time point. However, improvements in the grade of hoarseness, roughness, and asthenia were significantly greater in the RF coblation group than in the CS group (P < .001). There were no statistically significant differences in breathiness and strain between the two groups. The average VHI-10 score significantly decreased from preoperative values in both groups (P < .001), with no significant differences observed between the two groups at any time point.

CONCLUSIONS: The RF coblation procedure is a reliable and safe method for RE surgery, offering an effective treatment choice for RE.

PMID:37596878 | DOI:10.1177/01455613231194131

J Magn Reson Imaging. 2023 Aug 19. doi: 10.1002/jmri.28955. Online ahead of print.

ABSTRACT

BACKGROUND: Patients with type-2 diabetes (T2DM) are at increased risk of developing diabetic foot ulcers (DFU) and experiencing impaired wound healing related to underlying microvascular disease.

PURPOSE: To evaluate the sensitivity of intra-voxel incoherent motion (IVIM) and blood oxygen level dependent (BOLD) MRI to microvascular changes in patients with DFUs.

STUDY TYPE: Case-control.

POPULATION: 20 volunteers who were age and body mass index matched, including T2DM patients with DFUs (N = 10, mean age = 57.5 years), T2DM patients with controlled glycemia and without DFUs (DC, N = 5, mean age = 57.4 years) and healthy controls (HC, N = 5, mean age = 52.8 years).

FIELD STRENGTH/SEQUENCE: 3T/multi-b-value IVIM and dynamic BOLD.

ASSESSMENT: Resting IVIM parameters were obtained using a multi-b-value diffusion-weighted imaging sequence and two IVIM models were fit to obtain diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f) and microvascular volume fraction (MVF) parameters. Microvascular reactivity was evaluated by inducing an ischemic state in the foot with a blood pressure cuff during dynamic BOLD imaging. Perfusion indices were assessed in two regions of the foot: the medial plantar (MP) and lateral plantar (LP) regions.

STATISTICAL TESTS: Effect sizes of group mean differences were assessed using Hedge’s g adjusted for small sample sizes.

RESULTS: DFU participants exhibited elevated D*, f, and MVF values in both regions (g ≥ 1.10) and increased D (g = 1.07) in the MP region compared to DC participants. DC participants showed reduced f and MVF compared to HC participants in the MP region (g ≥ 1.06). Finally, the DFU group showed reduced tolerance for ischemia in the LP region (g = -1.51) and blunted reperfusion response in both regions (g < -2.32) compared to the DC group during the cuff-occlusion challenge.

DATA CONCLUSION: The combined use of IVIM and BOLD MRI shows promise in differentiating perfusion abnormalities in the feet of diabetic patients and suggests hyperperfusion in DFU patients.

LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 1.

PMID:37596872 | DOI:10.1002/jmri.28955

Epilepsia. 2023 Aug 19. doi: 10.1111/epi.17748. Online ahead of print.

ABSTRACT

The objective of this study was to determine seizure control in women with epilepsy (WWE) undergoing assisted reproductive technology (ART). Through retrospective chart review, WWE undergoing ART were identified. Demographics and details regarding epilepsy type, seizure control, and ART procedures were extracted. Seizure frequency prior to and during ART were compared. We identified 12 WWE, who underwent 29 embryo transfers, resulting in 16 pregnancies and 10 live births. Nine women were seizure-free at least two years before fertility treatment, including three with resolved epilepsy. Seven were on antiseizure medications (ASMs) throughout fertility treatment and pregnancy, with only one on polytherapy. Eleven (all with controlled epilepsy or epilepsy in remission) remained seizure free throughout fertility treatment. One woman with drug-resistant epilepsy continued to have seizures throughout fertility treatment and pregnancy without an exacerbation of seizure frequency. There was no increased seizure frequency associated with fertility treatment and subsequent pregnancy in this small series of WWE. Although this study was statistically underpowered, our results provide some preliminary evidence that ART might not pose a threat to seizure control, but larger, confirmatory studies are necessary.

PMID:37596834 | DOI:10.1111/epi.17748

Dent Traumatol. 2023 Aug 19. doi: 10.1111/edt.12877. Online ahead of print.

ABSTRACT

BACKGROUND/AIM: This retrospective study investigated the effect of lockdowns for Covid-19 on the rates of oro-facial trauma hospitalisations in children in Australia and the United Kingdom (UK).

MATERIALS AND METHODS: Hospitalisation data for children up to 19 years old for oro-facial trauma injuries (according to ICD-10-AM principal diagnosis codes) over 5 years were collected for Australian and UK children. The age-standard rate (ASR) for each age group was calculated per 100,000 population.

RESULTS: In the younger Australian children, there was no statistically significant change in the ASR of oro-facial trauma hospitalisations during the ‘Covid year’, compared to the average rate over the 3 years preceding. However, there was a significant decrease in the ASR of oro-facial trauma hospitalisations during the ‘Covid year’ in older Australian children (aged 10-19), and for all UK children, except for infants under one-year-old.

CONCLUSIONS: Reduction of the ASR of hospitalisations due to oro-facial trauma during the ‘Covid year’, and the implementation of lockdown measures in the two countries provides further evidence of the impact of physical activities and travel as contributing factors to oro-facial injuries in children. In addition to its role in reducing the spread of virus infections during the pandemic, the lockdown measures also resulted in a simultaneous decrease in trauma injuries.

PMID:37596827 | DOI:10.1111/edt.12877

Reprod Domest Anim. 2023 Aug 19. doi: 10.1111/rda.14456. Online ahead of print.

ABSTRACT

Appropriate stallion semen handling is of great importance in equine artificial insemination (AI) industry. Optimal treatment of AI doses is aiming for best sperm preservation by excluding strong environmental influences and adding media that favour sperm survival. One method widely used in stallion sperm handling is the rotation of liquid-preserved semen samples on roller benches during storage. As previous studies in boars give rise to the fact that rotation should not be considered beneficial for spermatozoa anymore, the present study investigated the influence of continuous rotation of diluted stallion AI portions on sperm quality. Ejaculates (n = 15) were collected at a German AI centre and diluted with the two extenders EquiPlus and Gent (Minitüb GmbH) to a final concentration of 50 × 10⁶ sperm/mL. Afterwards, samples were placed separately on roller benches at 5°C in the dark, obtaining a rotation frequency of 5 revolutions per minute (rpm) and 36 rpm for four consecutive days following a split-sample design. Both groups were analysed daily in comparison to a control group (0 rpm) with an extended spectrum of spermatological methods including computer-assisted sperm analysis and flow cytometry. Statistical analyses were based on the calculation of generalized linear mixed models for each sperm parameter. The research revealed a decrease in sperm quality parameters of rotated samples compared to non-rotated control groups, visible in total sperm motility (p < .001), decreased thermo-resistance (p < .01) and a drop in pH (p < .001). Interestingly, no differences (p > .05) were detected between rotation frequencies of 5 and 36 rpm. We conclude that the fertilizing capacity of stallion semen was negatively affected by rotation during storage in vitro, irrespective of the rotation frequency. Further studies need to investigate whether field fertility in horses is similarly affected by semen rotation on roller benches in vivo.

PMID:37596825 | DOI:10.1111/rda.14456

J Magn Reson Imaging. 2023 Aug 19. doi: 10.1002/jmri.28960. Online ahead of print.

ABSTRACT

BACKGROUND: Deep learning models require large-scale training to perform confidently, but obtaining annotated datasets in medical imaging is challenging. Weak annotation has emerged as a way to save time and effort.

PURPOSE: To develop a deep learning model for 3D breast cancer segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using weak annotation with reliable performance.

STUDY TYPE: Retrospective.

POPULATION: Seven hundred and thirty-six women with breast cancer from a single institution, divided into the development (N = 544) and test dataset (N = 192).

FIELD STRENGTH/SEQUENCE: 3.0-T, 3D fat-saturated gradient-echo axial T1-weighted flash 3D volumetric interpolated brain examination (VIBE) sequences.

ASSESSMENT: Two radiologists performed a weak annotation of the ground truth using bounding boxes. Based on this, the ground truth annotation was completed through autonomic and manual correction. The deep learning model using 3D U-Net transformer (UNETR) was trained with this annotated dataset. The segmentation results of the test set were analyzed by quantitative and qualitative methods, and the regions were divided into whole breast and region of interest (ROI) within the bounding box.

STATISTICAL TESTS: As a quantitative method, we used the Dice similarity coefficient to evaluate the segmentation result. The volume correlation with the ground truth was evaluated with the Spearman correlation coefficient. Qualitatively, three readers independently evaluated the visual score in four scales. A P-value <0.05 was considered statistically significant.

RESULTS: The deep learning model we developed achieved a median Dice similarity score of 0.75 and 0.89 for the whole breast and ROI, respectively. The volume correlation coefficient with respect to the ground truth volume was 0.82 and 0.86 for the whole breast and ROI, respectively. The mean visual score, as evaluated by three readers, was 3.4.

DATA CONCLUSION: The proposed deep learning model with weak annotation may show good performance for 3D segmentations of breast cancer using DCE-MRI.

LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.

PMID:37596823 | DOI:10.1002/jmri.28960

Neuroradiol J. 2023 Aug 18:19714009231196471. doi: 10.1177/19714009231196471. Online ahead of print.

ABSTRACT

PURPOSE: Secondary language areas, including the pre-supplementary motor area (pre-SMA), dorsolateral prefrontal cortex (DLPFC), and the visual word form area (VWFA) play important roles in speech, but have been under-evaluated in the realm of resting-state (rs)-fMRI. The purpose of this study is to determine the incidence that secondary language areas and contralateral language areas can be localized using seed-based correlation (SBC) rs-fMRI.

METHODS: We retrospectively reviewed 40 rs-fMRIs for functional connectivity (FC) to secondary language areas in cases where FC to Broca’s or Wernicke’s area near tumor in the left hemisphere were successfully generated using SBC analysis. Logistical regression was used for statistical analysis.

RESULTS: SBC rs-fMRI with a seed in the left Broca’s or Wernicke’s area ipsilateral to the tumor was performed in the 40 patients. 72.5% of cases showed FC to the left DLPFC, 67.5% to left pre-SMA, and 52.5% of cases had FC to right Broca’s area. In addition to other correlations, we found older patients have a lower incidence of FC to the right Wernicke’s area when seeded from both left Broca’s and left Wernicke’s area (p-value = .016, odds ratio = 0.94).

CONCLUSION: SBC rs-fMRI can detect left hemispheric secondary language areas as well as right hemispheric primary and secondary language areas. The left DLPFC showed the highest incidence of FC, followed by the left pre-SMA when seeded from both left Broca’s and Wernicke’s area. Logistics regression also showed in some instances, differences in the incidence of FC to language areas was dependent on age, seed location, and gender.

PMID:37596790 | DOI:10.1177/19714009231196471

Int Wound J. 2023 Aug 18. doi: 10.1111/iwj.14322. Online ahead of print.

ABSTRACT

Because of the difficult surgical procedures, patients with lung cancer who have received thoracic surgery tend to have postoperative complications. It may lead to postoperative complications like wound infection, wound haematoma and pneumothorax. A lot of research has assessed the effect of various surgery methods on postoperative complications in pulmonary cancer. The purpose of this meta-analysis is to establish if thoracoscopic is superior to that of thoracotomy in the rate of post-operative complications. From the beginning to the end of June 2023, we performed an exhaustive search on four main databases for key words. The Hazard of Bias in Non-Randomized Interventional Studies (ROBINS-I) was evaluated in the literature. In the end, 13 trials that fulfilled the eligibility criteria underwent further statistical analyses. The results showed that thoracoscopic intervention decreased the risk of post operative wound infection (dominant ratio [OR], 3.00; 95% confidence margin [CI], 1.98, 4.55; p < 0.00001) and air-leakage after operation (OR, 1.30; 95% CI, 1.04, 1.63; p = 0.02). There was no statistically significant difference between the two groups in terms of the rate of haemorrhage after operation (OR, 0.10; 95% CI, 0.73, 1.66; p = 0.63). Our findings indicate that thoracoscopic is less likely to cause post operative infection and gas leakage than thoracotomy, and it does not decrease the risk of postoperative haemorrhage. As some of the chosen trials are too small to conduct meta-analyses, care must be taken when handling the data. In the future, a large number of randomized, controlled trials will be required to provide additional evidence for this research.

PMID:37596788 | DOI:10.1111/iwj.14322