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Nevin Manimala Statistics

Micro-morphological feature visualization, auto-classification, and evolution quantitative analysis of tumors by using SR-PCT

Cancer Med. 2021 Mar 7. doi: 10.1002/cam4.3796. Online ahead of print.

ABSTRACT

Tissue micro-morphological abnormalities and interrelated quantitative data can provide immediate evidences for tumorigenesis and metastasis in microenvironment. However, the multiscale three-dimensional nondestructive pathological visualization, measurement, and quantitative analysis are still a challenging for the medical imaging and diagnosis. In this work, we employed the synchrotron-based X-ray phase-contrast tomography (SR-PCT) combined with phase-and-attenuation duality phase retrieval to reconstruct and extract the volumetric inner-structural characteristics of tumors in digesting system, helpful for tumor typing and statistic calculation of different tumor specimens. On the basis of the feature set including eight types of tumor micro-lesions presented by our SR-PCT reconstruction with high density resolution, the AlexNet-based deep convolutional neural network model was trained and obtained the 94.21% of average accuracy of auto-classification for the eight types of tumors in digesting system. The micro-pathomophological relationship of liver tumor angiogenesis and progression were revealed by quantitatively analyzing the microscopic changes of texture and grayscale features screened by a machine learning method of area under curve and principal component analysis. The results showed the specific path and clinical manifestations of tumor evolution and indicated that these progressions of tumor lesions rely on its inflammation microenvironment. Hence, this high phase-contrast 3D pathological characteristics and automatic analysis methods exhibited excellent recognizable and classifiable for micro tumor lesions.

PMID:33682368 | DOI:10.1002/cam4.3796

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Nevin Manimala Statistics

Bilateral diffuse uveal melanocytic proliferation : a rare paraneoplasic syndrome to be diagnosed early

Rev Med Liege. 2021 Mar;76(3):160-165.

ABSTRACT

Diffuse bilateral uveal melanocytic proliferation is a rare paraneoplastic ophthalmologic syndrome. The increase in life expectancy in oncology partly explains the gradual increase in its incidence. In almost half of the cases, the syndrome manifests itself before the diagnosis of primary neoplasia. It should be suspected in cases of bilateral uveal pigmented lesions that do not meet the clinical criteria for other known eye pathologies. Legal blindness occurs for the majority of patients during the first year after the initial clinical presentation. Death, due to the severity of the underlying pathology, occurs statistically within three years. Here we display the case of such a diffuse bilateral uveal melanocytic proliferation in a patient with relapsed colonic adenocarcinoma, initially treated for age-related macular degeneration.

PMID:33682384

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Nevin Manimala Statistics

Is systemic isotretinoin use a risk factor for coronavirus disease 2019 (COVID-19)?

J Cosmet Dermatol. 2021 Mar 8. doi: 10.1111/jocd.14044. Online ahead of print.

ABSTRACT

AIM: To investigate whether acne treatment agent systemic isotretinoin causes susceptibility to COVID-19 disease.

MATERIAL AND METHOD: Patients admitted to a single center due to acne between March 2020 and December 2020 were included. A retrospective analysis was conducted on the medical records of acne patients receiving systemic isotretinoin or topical treatments. The patients with PCR confirmed SARS-CoV-2 infection were recorded.

RESULTS: 302 patients who used isotretinoin and 329 patients who used topical treatment were included in the study. No statistically significant difference was found between the groups in terms of age (p=0,151). It was found that of the 302 patients who used isotretinoin, 33 had PCR test for SARS CoV-2 and 2 of these had PCR positivity, while of the 329 patients who received topical treatment, 45 had PCR test and 5 of these had PCR positivity. No statistically significant difference was found between the groups in terms of having SARS CoV-2 positivity with PCR (p=0,692).

CONCLUSION: Susceptibility to COVID-19 disease was not observed in patients using systemic isotretinoin.

PMID:33682290 | DOI:10.1111/jocd.14044

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Nevin Manimala Statistics

Investigation of the relationship between alopecia areata and inflammatory blood parameters

J Cosmet Dermatol. 2021 Mar 8. doi: 10.1111/jocd.14048. Online ahead of print.

ABSTRACT

AIM: Alopecia areata (AA) is an inflammatory condition that causes regional shedding without scarring on the hair or eyebrows, eyelashes and beard. In studies conducted, it has been concluded that platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR) and mean platelet volume (MPV) are significant indicators of systemic inflammation in various diseases. In the present study, our aim is to examine these parameters in AA patients and to investigate their relationship with the disease.

MATERIALS AND METHODS: 135 AA patients and 135 healthy controls who did not have any systemic, inflammatory, infectious or autoimmune diseases were included in this study. Demographic characteristics and complete blood count (CBC) results were analysed retrospectively and recorded and statistical analysis was performed.

RESULTS: PLR, NLR and MPV values were not differ between AA patients and the control group.

CONCLUSION: It can be concluded that PLR, NLR and MPV values are not convenient parameters to show inflammatory response in AA.

PMID:33682292 | DOI:10.1111/jocd.14048

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Nevin Manimala Statistics

Chromosome-scale inference of hybrid speciation and admixture with convolutional neural networks

Mol Ecol Resour. 2021 Mar 8. doi: 10.1111/1755-0998.13355. Online ahead of print.

ABSTRACT

Inferring the frequency and mode of hybridization among closely related organisms is an important step for understanding the process of speciation and can help to uncover reticulated patterns of phylogeny more generally. Phylogenomic methods to test for the presence of hybridization come in many varieties and typically operate by leveraging expected patterns of genealogical discordance in the absence of hybridization. An important assumption made by these tests is that the data (genes or SNPs) are independent given the species tree. However, when the data are closely linked, it is especially important to consider their nonindependence. Recently, deep learning techniques such as convolutional neural networks (CNNs) have been used to perform population genetic inferences with linked SNPs coded as binary images. Here, we use CNNs for selecting among candidate hybridization scenarios using the tree topology (((P1 , P2 ), P3 ), Out) and a matrix of pairwise nucleotide divergence (dXY ) calculated in windows across the genome. Using coalescent simulations to train and independently test a neural network showed that our method, HyDe-CNN, was able to accurately perform model selection for hybridization scenarios across a wide breath of parameter space. We then used HyDe-CNN to test models of admixture in Heliconius butterflies, as well as comparing it to phylogeny-based introgression statistics. Given the flexibility of our approach, the dropping cost of long-read sequencing and the continued improvement of CNN architectures, we anticipate that inferences of hybridization using deep learning methods like ours will help researchers to better understand patterns of admixture in their study organisms.

PMID:33682305 | DOI:10.1111/1755-0998.13355

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Radiomics Models Based on Apparent Diffusion Coefficient Maps for the Prediction of High-Grade Prostate Cancer at Radical Prostatectomy: Comparison With Preoperative Biopsy

J Magn Reson Imaging. 2021 Mar 8. doi: 10.1002/jmri.27565. Online ahead of print.

ABSTRACT

BACKGROUND: It is feasible to use magnetic resonance (MR)-based radiomics to distinguish high-grade from low-grade prostate cancer (PCa), but radiomics model performance based on fully automated segmentation remains unknown.

PURPOSE: To develop and test radiomics models based on manually or automatically gained masks on apparent diffusion coefficient (ADC) maps to predict high-grade (Gleason score ≥ 4 + 3) PCa at radical prostatectomy (RP).

STUDY TYPE: Retrospective.

POPULATION: A total of 176 patients (94 high-grade PCa and 82 low-grade PCa) with complete RP, preoperative biopsy, and multiparametric magnetic resonance imaging (mpMRI) were retrospectively recruited and randomly divided into training (N = 123) and test (N = 53) cohorts.

FIELD STRENGTH/SEQUENCE: Using a 3.0-T MR scanner, ADC maps were calculated from diffusion-weighted imaging (b values = 0, 1400 s/mm2 , echo planar imaging).

ASSESSMENT: Two radiologists segmented the whole prostate gland and the most index prostate lesion. Automatic segmentation of the prostate and the lesion were performed. Four radiomics models were constructed using four masks (manual/automatic prostate gland/PCa lesion segmentation). According to the standard reference of the RP histopathologic assessment, the performance of each radiomics models was compared with that of biopsy and Prostate Imaging Reporting and Data System version 2.1 (PI-RADS) assessment.

STATISTICAL TESTS: A receiver operating characteristic curve analysis was employed to estimate the area under the curve (AUC) values of the models. The AUCs of the four models, biopsy, and PI-RADS assessment were compared using the DeLong test.

RESULTS: The four radiomics models yielded AUCs of 0.710, 0.731, 0.726, and 0.709 in the test cohort, respectively; biopsy and PI-RADS assessment yielded AUCs of 0.793 and 0.680, respectively. No significant differences were found among model, biopsy, and PI-RADS assessment comparisons (P = 0.132-0.988).

DATA CONCLUSION: To distinguish high-grade from low-grade PCa, radiomics models based on automatic segmentation on ADC maps exhibit approximately the same diagnostic efficacy as manual segmentation and biopsy, highlighting the possibility of a fully automatic workflow combining automated segmentation with radiomics analysis.

EVIDENCE LEVEL: 4 TECHNICAL EFFICACY: Stage 2.

PMID:33682286 | DOI:10.1002/jmri.27565

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Functional characterization of Copy Number Variations regions in Djallonké sheep

J Anim Breed Genet. 2021 Mar 8. doi: 10.1111/jbg.12542. Online ahead of print.

ABSTRACT

A total of 184 Djallonké (West African Dwarf) sheep of Burkina Faso were analysed for Copy Number Variations (CNV) using Ovine 50 K SNP BeadChip genotyping data and two different CNV calling platforms: PennCNV and QuantiSNP. Analyses allowed to identify a total of 63 candidate Copy Number Variations Regions (CNVR) on 11 different ovine chromosomes covering about 82.5 Mb of the sheep genome. Gene-annotation enrichment analysis allowed to identify a total of 751 potential candidate ovine genes located in the candidate CNVR bounds. Functional annotation allowed to identify five statistically significant Functional Clusters (FC; enrichment factor > 1.3) involving 61 candidate genes. All genes forming significantly enriched FC were located on ovine chromosome (OAR) 21. FC1 (22 genes including PAG4 and PAG6) and FC5 (three genes: CTSC, CTSW and CTSF), coding proteases (peptidases and cathepsins, respectively), were involved in reproductive performance and modulation of gestation. Both FC3 and FC4 were involved in inflammatory and immunologic response through coding serum amyloid A and B-box-type zinc finger proteins, respectively. Finally, FC2 consisted of 27 genes (including OR10G6 and OR8B8) involved in olfactory receptor activity, key for animals adapting to new food resources. CNVR identified on at least 15% of individuals were considered CNVR hotspots and further overlapped with previously reported quantitative trait loci (QTL). CNVR hotspots spanning genes putatively involved with lipid metabolism (SKP1, TCF7, JADE2, UBE2B and SAR1B) and differential expression in mammary gland (SEC24A and CDKN2AIPNL) on OAR5 and dairy traits (CCDC198 and SLC35F4) on OAR7 overlapped with QTL associated with lipid metabolism, milk protein yield and milk fat percentage. Information obtained from local sheep populations naturally adapted to harsh environments contributes to increase our understanding of the genomic importance of CNV.

PMID:33682236 | DOI:10.1111/jbg.12542

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Nevin Manimala Statistics

Comparison of irrigant activation devices and conventional needle irrigation on smear layer and debris removal in curved canals. (Smear layer removal from irrigant activation using SEM)

Aust Endod J. 2021 Mar 8. doi: 10.1111/aej.12482. Online ahead of print.

ABSTRACT

AIM: To compare the effectiveness of smear layer and debris removal in the final rinse of curved canals of permanent molars using different commercially available irrigant activation devices.

METHODS: The mesial roots of 74 extracted maxillary and mandibular molars were instrumented using the Mtwo nickel-titanium rotary system (VDW GmbH, Munich, Germany). They were then randomly assigned to one of three groups, varying in their final rinse protocol. Group 1 (n = 15) – conventional needle irrigation with 4% NaOCl; Group 2 (n = 19) – EndoActivator® (Dentsply Tulsa Dental Specialties, Tulsa, OK, USA) with 4% NaOCl; Group 3 (n = 17) – XP-endo® Finisher (FKG Dentaire SA, La Chaux-de-Fonds, Switzerland) with 4% NaOCl. After the final rinse, all canals were flushed with 1 mL 15% EDTA for 60 s and then flushed with saline. The roots were split longitudinally and prepared for scanning electron microscope imaging. ImageJ for Windows was utilised to assess the images for smear layer removal, while two blinded investigators assessed debris presence in the middle and apical thirds using a 5-point scale.

RESULTS: There was no significant difference in smear layer and debris removal between treatment and control groups in the same canal zones. A significant difference was noted across different canal zones both within and across the groups.

CONCLUSION: There is no statistically significant difference in effectiveness between activated irrigation techniques and manual activation. Further investigations are required to evaluate all methods available and determine the most efficient technique to irrigate successfully.

PMID:33682268 | DOI:10.1111/aej.12482

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A study on nursing effect of integrated traditional Chinese and Western medicine management mode on COVID-19

Jpn J Nurs Sci. 2021 Mar 7:e12411. doi: 10.1111/jjns.12411. Online ahead of print.

ABSTRACT

AIM: This study aims to explore the effect of integrated traditional Chinese and Western medicine management mode on nursing care of patients with coronavirus disease 2019 (COVID-19).

METHODS: The study included 142 COVID-19 patients hospitalized in Huoshenshan Hospital from February to March 2020. Nursing measures in the treatment (n = 111) and control (n = 31) groups included integrated management care and usual care. The integrated management model had eight components: WeChat group management, early Traditional Chinese Medicine (TCM) treatment, emotional nursing, music therapy, observation of tongue coating and pulse, vital Qi strengthening, preventing recurrence after recovery, and an individualized follow-up scheme. The endpoints included clinical outcome, recovery time of clinical symptoms and signs, days of hospital stay, and survival without intensive care unit (ICU) admission.

RESULTS: Recovery time from clinical symptoms such as fever, cough, shortness of breath, muscle aches, and fatigue in the treatment group was shorter than that in the control group. Less time was required to show negative chest computed tomography findings in the treatment group than in the control group (13.0 ± 2.8 vs. 16.7 ± 3.9, p < .025). The lengths of hospital stay in the two groups were 16.4 ± 7.3 days (treatment group) and 24.4 ± 4.8 days (control group) (p < .001). Kaplan-Meier curves for survival without ICU transfer showed statistical difference between the two groups (χ2 = 5.427, p = .020).

CONCLUSIONS: Our study shows that the integrated management mode can relieve the symptoms of patients faster, shorten hospital stay and disease course, and reduce the rate of ICU transfers.

PMID:33682284 | DOI:10.1111/jjns.12411

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Lack of psychotropic medication changes among mood disordered women across the peripartum period

Hum Psychopharmacol. 2021 Mar 7:e2764. doi: 10.1002/hup.2786. Online ahead of print.

ABSTRACT

OBJECTIVE: Peripartum depression is a leading contributor to peripartum morbidity and mortality. Despite the evidence for relative safety, many patients and providers remain reluctant to use or modify psychotropics in the peripartum period. We hypothesized that depressed women in the peripartum period taking psychiatric medications would not experience dose adjustments.

METHODS: Women with a prior history of either Major Depressive Disorder or Bipolar Affective Disorder were followed through pregnancy and the postpartum period (N = 229). Depressive symptoms were measured with the Edinburgh Postnatal Depression Scale (EPDS), with a score ≥ 13 indicating likely depression. Data analysis included descriptive statistics, chi-square tests, and logistic regression.

RESULTS: Antepartum depression was more common than postpartum depression (PPD; 29% vs. 20%); 38% of women with antepartum depression also had PPD. Regression analysis revealed that, although depressed women in pregnancy were not more likely to have a dose adjustment than nondepressed women (OR: 1.9, 95% CI: 0.8-4.6), depressed women in the postpartum were more likely to receive a medication change than nondepressed women (OR: 6.3, 95% CI: 2.0-20.4).

CONCLUSIONS: In a naturalistic study, more medication adjustments for depression occurred in the postpartum than in pregnancy. This may indicate that antepartum depression is undertreated.

PMID:33682220 | DOI:10.1002/hup.2786