Kappa Values For Agreement Research Articles

Comparison of Computed Tomography Scoring Systems in Patients with COVID-19 and Hematological Malignancies.

Numerous computed tomography (CT) scales have been proposed to assess lung involvement in COVID-19 pneumonia as well as correlate radiological findings with patient outcomes. Comparison of different CT scoring systems in terms of time consumption and diagnostic performance in patients with hematological malignancies and COVID-19 infection. Retrospective analysis included hematological patients with COVID-19 and CT performed within 10 days of diagnosis of infection. CT scans were analyzed in three different semi-quantitative scoring systems, Chest CT Severity Score (CT-SS), Chest CT Score(CT-S), amd Total Severity Score (TSS), as well as qualitative modified Total Severity Score (m-TSS). Time consumption and diagnostic performance were analyzed. Fifty hematological patients were included. Based on the ICC values, excellent inter-observer reliability was found among the three semi-quantitative methods with ICC > 0.9 (p < 0.001). The inter-observer concordance was at the level of perfect agreement (kappa value = 1) for the mTSS method (p < 0.001). The three-receiver operating characteristic (ROC) curves revealed excellent and very good diagnostic accuracy for the three quantitative scoring systems. The AUC values were excellent (0.902), very good (0.899), and very good (0.881) in the CT-SS, CT-S and TSS scoring systems, respectively. Sensitivity showed high levels at 72.7%, 75%, and 65.9%, respectively, and specificity was recorded at 98.2%, 100%, 94.6% for the CT-SS, CT-S, and TSS scoring systems, respectively. Time consumption was the same for Chest CT Severity Score and TSS and was longer for Chest CT Score (p < 0.001). Chest CT score and chest CT severity score have very high sensitivity and specificity in terms of diagnostic accuracy. The highest AUC values and the shortest median time of analysis in chest CT severity score indicate this method as preferred for semi-quantitative assessment of chest CT in hematological patients with COVID-19.

Validation of an Automated Artificial Intelligence Algorithm for the Quantification of Major OCT Parameters in Diabetic Macular Edema.

Artificial intelligence (AI) and deep learning (DL)-based systems have gained wide interest in macular disorders, including diabetic macular edema (DME). This paper aims to validate an AI algorithm for identifying and quantifying different major optical coherence tomography (OCT) biomarkers in DME eyes by comparing the algorithm to human expert manual examination. Intraretinal (IRF) and subretinal fluid (SRF) detection and volumes, external limiting-membrane (ELM) and ellipsoid zone (EZ) integrity, and hyperreflective retina foci (HRF) quantification were analyzed. Three-hundred three DME eyes were included. The mean central subfield thickness was 386.5 ± 130.2 µm. IRF was present in all eyes and confirmed by AI software. The agreement (kappa value) (95% confidence interval) for SRF presence and ELM and EZ interruption were 0.831 (0.738-0.924), 0.934 (0.886-0.982), and 0.936 (0.894-0.977), respectively. The accuracy of the automatic quantification of IRF, SRF, ELM, and EZ ranged between 94.7% and 95.7%, while accuracy of quality parameters ranged between 99.0% (OCT layer segmentation) and 100.0% (fovea centering). The Intraclass Correlation Coefficient between clinical and automated HRF count was excellent (0.97). This AI algorithm provides a reliable and reproducible assessment of the most relevant OCT biomarkers in DME. It may allow clinicians to routinely identify and quantify these parameters, offering an objective way of diagnosing and following DME eyes.

Comparative diagnostic performance of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging for differentiating clear cell and non-clear cell renal cell carcinoma.

To compare the diagnostic efficiency of contrast-enhanced ultrasound (CEUS) with that of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for the differential diagnosis of clear and non-clear cell renal cell carcinoma, as confirmed by subsequent pathology. A total of 181 patients with 184 renal lesions diagnosed by both CEUS and DCE-MRI were enrolled in the study, including 136 clear cell renal cell carcinoma (ccRCC) and 48 non-clear cell renal cell carcinoma (non-ccRCC) tumors. All lesions were confirmed by histopathologic diagnosis after surgical resection. Interobserver agreement was estimated using a weighted kappa statistic. Diagnostic efficiency in evaluating ccRCC and non-ccRCC was compared between CEUS and DCE-MRI. The weighted kappa value for interobserver agreement was 0.746 to 0.884 for CEUS diagnosis and 0.764 to 0.895 for DCE-MRI diagnosis. Good diagnostic performance in differential diagnosis of ccRCC and non-ccRCC was displayed by both CEUS and DCE-MRI: sensitivity was 89.7% and 91.9%, respectively; specificity was 77.1% and 68.8%, respectively; and area under the receiver operating curve was 0.834 and 0.803, respectively. No statistically significant differences were present between the two methods (p = 0.54). Both CEUS and DCE-MRI imaging are effective for the differential diagnosis of ccRCC and non-ccRCC. Thus, CEUS could be an alternative to DCE-MRI as a first test for patients at risk of renal cancer, particularly where DCE-MRI cannot be carried out. • CEUS and DCE-MRI features can help differentiate ccRCC and non-ccRCC. • The differential diagnosis of ccRCC and non-ccRCC by CEUS is comparable to that of DCE-MRI. • Interobserver agreement is generally high using CEUS and DCE-MRI.

A comparison of the quality of images of chest X-ray between handheld portable digital X-ray & routinely used digital X-ray machine.

Chest X-ray (CXR) is an important screening tool for pulmonary tuberculosis (TB). Accessibility to CXR facilities in difficult-to-reach and underserved populations is a challenge. This can potentially be overcome by deploying digital X-ray machines that are portable. However, these portable X-ray machines need to be validated before their deployment in the field. Here, we compare the image quality of CXR taken by a newly developed handheld X-ray machine with routinely used reference digital X-ray machine through the conduct of a feasibility study. A total of 100 participants with suspected pulmonary TB were recruited from the outpatient departments of a medical college and a community health centre in Agra. Each participant underwent CXR twice, once with each machine. Both sets of de-identified images were independently read by two radiologists, who were blinded to the type of X-ray machine used. The primary outcome was agreement between image qualities produced by these two machines. The intra-observer (radiologist) agreements regarding the status of the 15 CXR parameters ranged between 74 per cent and 100 per cent, with an unweighted mean of 87.2 per cent (95% confidence interval: 71.5-100). The median Cohen's kappa values for intra-observer agreement were 0.62 and 0.67 for radiologists 1 and 2, respectively. In addition, on comparison of the overall median score of quality of the image, the handheld machine images had a higher score for image quality. The current study shows that a handheld X-ray machine, which is easy to use and can potentially be carried to any area, produces X-ray images with quality that is comparable to digital X-ray machines routinely used in health facilities.

A Novel and Open Classification Emphasizing on Osteoligamentous Complex for Distal Clavicle Fractures.

Current X-ray-based classification methods cannot describe all distal clavicle fracture (DCF) patterns, especially the osteoligamentous injury pattern of DCFs. We aimed to develop a novel classification based on the osteoligamentous injury pattern of the DCFs and investigated its reliability. All DCFs from January 2017 to January 2022 were respectively screened and 45 cases (mean age 20-78; male 31, female 14) met the including criteria and were enrolled. Based on their Zanca view X-ray radiograph and three-dimensional CT construction images, we analyzed the osteoligamentous injury pattern of each case, particularly the acromioclavicular (AC) and coracoclavicular ligaments and their bone attachment. Then we developed a novel classification method, five types in total, sorting all DCFs according to their lesion manifestations of osteoligamentous complex. Also, we investigated the inter- and intra-observer reliability using kappa value. A novel classification method for DCF was developed, manifesting the avulsion or rupture of conoid and trapezoid ligaments, and involvement of AC joint. Forty-five cases of DCFs were included in this study. Among them, 11 (24.4%) were Type 1 fracture, three (6.7%) cases were Type 2, six cases (13.3%) were Type 3, 21 (46.7%) were Type 4, four (8.9%) were Type 5. Kappa values for inter-observer agreement were 0.57 after first evaluation and 0.61 after second evaluation. Intra-observer agreement was 0.72 for experienced shoulder specialist and 0.63 for radiologist. This new classification method is reliable to use, supplementary to current classification systems, and emphasizes on the osteoligamentous complex injury when opting for the treatment.

Value of the Tumor-Stroma Ratio and Structural Heterogeneity Measured by a Novel Semiautomatic Image Analysis Technique for Predicting Survival in Patients With Colon Cancer.

The tumor-stroma ratio and intratumor stromal heterogeneity have been identified as prognostic factors for several carcinomas. Recent advancements in image analysis technologies and their application to medicine have enabled detailed analysis of clinical data beyond human cognition. This study aimed to investigate the tumor-stroma ratio and intratumor stromal heterogeneity measured using a novel objective and semiautomatic method with image analysis. A retrospective cohort design. Single institution. This study included patients who underwent curative colectomy for colon cancer. The survival analyses between tumor-stroma ratio or intratumor stromal heterogeneity high and low groups after colectomy were assessed in multivariate analyses. Two hundred patients were divided into 2 groups based on the median tumor-stroma ratio and intratumor stromal heterogeneity values. The 5-year overall survival and relapse-free survival rates after colectomy significantly differed between the high and low tumor-stroma ratio or intratumor stromal heterogeneity groups. Multivariate analysis identified low tumor-stroma ratio (HR: 1.90, p = 0.03) and high intratumor stromal heterogeneity (HR: 2.44, p = 0.002) as independent poor prognostic factors for relapse-free survival. The tumor-stroma ratio and intratumor stromal heterogeneity correlated with the duration from curative surgery to recurrence. Furthermore, postoperative recurrence within 2 years was predicted with higher accuracy by using the tumor-stroma ratio or intratumor stromal heterogeneity than by using the pathological stage. In a validation cohort, interobserver agreement was assessed by 2 observers, and Cohen's κ coefficient for the tumor-stroma ratio (κ value: 0.70) and intratumor stromal heterogeneity (κ value: 0.60) revealed a substantial interobserver agreement. This study was limited by its retrospective, single-institution design. Tumor-stroma ratio and intratumor stromal heterogeneity calculated using image analysis software have potential as imaging biomarkers for predicting the survival of patients with colon cancer after colectomy. See Video Abstract at http://links.lww.com/DCR/C114 . ANTECEDENTES:La proporción de estroma tumoral y la heterogeneidad del estroma intratumoral han sido identificados como factores pronósticos para varios tipos de carcinomas. Los avances recientes en cuanto a las tecnologías de análisis de imágenes y sus aplicaciones en la medicina, han permitido un análisis detallado de los datos clínicos más allá del conocimiento humano.OBJETIVO:Investigar la relación del estroma tumoral y la heterogeneidad del estroma intratumoral calculados mediante un nuevo método objetivo y semiautomático para el análisis de imágenes.DISEÑO:Diseño de cohorte retrospectivo.AJUSTES:Institución única.PACIENTES:Pacientes sometidos a colectomía curativa por cáncer de colon.PRINCIPALES MEDIDAS DE RESULTADO:Los análisis de supervivencia entre la relación del estroma tumoral o la heterogeneidad del estroma intratumoral entre los grupos con valores altos y bajos tras la colectomía, fueron evaluados en análisis multivariados.RESULTADOS:Fueron divididos 200 pacientes en dos grupos basados en la mediana de la proporción con respecto a los valores del estroma tumoral y la heterogeneidad del estroma intratumoral. Las tasas de supervivencia general a los 5 años y de supervivencia libre de recaídas después de la colectomía, difirieron significativamente entre los grupos con índice de estroma tumoral o heterogeneidad del estroma intratumoral altos y bajos. El análisis multivariante identificó una proporción de estroma tumoral baja (cociente de riesgos instantáneos: 1.90, p = 0.03) y una heterogeneidad estromal intratumoral alta (cociente de riesgos instantáneos: 2.44, p = 0.002) como factores independientes de mal pronóstico para la supervivencia libre de recaídas. La proporción de estroma tumoral y la heterogeneidad del estroma intratumoral se correlacionaron con la duración de la recurrencia desde la cirugía.Además, la recurrencia posoperatoria dentro de los 2 años se predijo con mayor precisión mediante el uso del índice de estroma tumoral o la heterogeneidad del estroma intratumoral que mediante el uso del estadio patológico. En una cohorte de validación, la concordancia interobservador fue evaluada por dos observadores, y el coeficiente Kappa de Cohen para la proporción de estroma tumoral y la heterogeneidad estromal intratumoral reveló una concordancia interobservador sustancial (valor Kappa: 0.70, 0.60, respectivamente).LIMITACIONES:Este estudio estuvo limitado por su diseño retrospectivo de una sola institución.CONCLUSIONES:La proporción del estroma tumoral y la heterogeneidad del estroma intratumoral calculadas mediante software de análisis de imágenes tienen potencial como biomarcadores de imagen para predecir la supervivencia de los pacientes con cáncer de colon tras la colectomía. Consulte Video Resumen en http://links.lww.com/DCR/C114 . (Traducción-Dr. Osvaldo Gauto ).

Evaluation of the diagnostic performance of PanbioTM Abbott SARS-CoV-2 rapid antigen test for the detection of COVID-19 from suspects attending ALERT center.

The emergence and rapid spread of coronavirus disease 2019 (COVID-19), a potentially lethal disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is causing public health issues around the world. In resource-constrained nations, rapid Abbott SARS-CoV-2 antigen test kits are critical for addressing diagnostic gaps in health institutions and community screening. However, there is no evidence or proof of diagnostic performance in Ethiopia. The aim of this study was to compare the performance of PanbioTM Abbott SARS-CoV-2antigen rapid test kit to the gold standard, RT-PCR, in COVID-19 patients with clinical symptoms suggestive of COVID-19. A prospective, cross-sectional study was conducted between November 2021 and April 2022, on 120 suspected patients recruited from outpatient, emergency, and intensive care units in one of the tertiary hospitals in Ethiopia. Nasopharyngeal swabs were collected from suspected cases and were tested using the Abbott SARS-CoV-2 kit, a rapid diagnostic test (RDT) and compared to the reference standard RT-PCR. The sensitivity and specificity of the RDT were 74.2% and 100%, respectively. A total of 62 samples (51.6%) were RT-PCR positive. Of these, 46 were Ag-RDT positive. Sensitivity among symptomatic patients was 79.4% (95% CI 68.3-90). The Abbot RDT and RT-PCR had a Kappa value of agreement of 0.735 (p < 0.001). These values were acceptable when compared to the WHO's suggested thresholds. The finding from this study support the use of the Abbot RDT as a diagnostic tool in COVID-19 suspects, mainly in those with higher viral loads.

Comparison of disease activity index for psoriatic arthritis (DAPSA) and minimal disease activity (MDA) targets for patients with psoriatic arthritis: A post hoc analysis of data from phase 3 tofacitinib studies

ObjectiveTo compare achievement of Disease Activity Index in Psoriatic Arthritis (DAPSA) remission (REM)/low disease activity (LDA) with very low disease activity (VLDA)/minimal disease activity (MDA) targets in tofacitinib-treated patients with psoriatic arthritis (PsA). MethodsIn this post hoc analysis, data were pooled from two phase 3 studies (6 months’ [NCT01882439] and 12 months’ [NCT01877668] duration) of patients with PsA receiving tofacitinib 5 or 10 mg twice daily. Cut-offs for DAPSA targets: ≤4 for clinical REM and >4–≤14 for LDA. VLDA and MDA were defined as meeting 7 or ≥5, respectively, of 7 criteria. An ordered logistic regression model was performed to evaluate associations between baseline characteristics and achievement of DAPSA targets as well as VLDA/MDA at month 3. Agreement between achieving DAPSA and VLDA/MDA targets at months 1–6 was assessed via kappa tests. Change from baseline in Health Assessment Questionnaire-Disability Index (HAQ-DI) and Short Form-36 Health Survey (SF-36) Physical Component Summary (PCS) scores (month 6), modified Total Sharp Score (mTSS) and proportion of radiographic non-progressors (mTSS ≤0.5) at month 12 (NCT01877668 only) were compared across DAPSA and VLDA/MDA targets. ResultsIncreased disease activity at baseline was associated with reduced likelihood of achieving DAPSA-REM/DAPSA-LDA or VLDA/MDA at month 3. There was moderate agreement (kappa values 0.41–0.60) between DAPSA-REM and VLDA, and DAPSA-LDA and MDA, from months 1 to 6, although over half of patients achieving DAPSA-REM and over two thirds of patients achieving DAPSA-LDA, respectively, were not captured by VLDA and MDA. Achieving DAPSA-REM/DAPSA-LDA or VLDA/MDA was associated with improved HAQ-DI and SF-36 PCS scores at month 6, and slightly reduced radiographic progression at month 12. ConclusionThis analysis of data from tofacitinib-treated patients with PsA demonstrated moderate agreement between the DAPSA and VLDA/MDA composite instruments. In agreement with previous studies, VLDA and MDA may be more difficult to achieve than DAPSA-REM and DAPSA-LDA, respectively. However, the clinical and prognostic relevance of this finding should be determined. These data support DAPSA and VLDA/MDA as useful tools for evaluating disease activity and treatment response in PsA. ClinicalTrials.govNCT01882439; NCT01877668

Activity monitoring of stroke patients by physiotherapist and caregivers in a hospital setting

Background: Activity monitoring is a necessary technique to ensure stroke survivors’ activity levels in the hospital are within optimal levels as this is important for enhanced motor recovery. However, this could be time-consuming for healthcare professionals like physiotherapists. Activity monitoring by caregivers could be an alternate option. Therefore, our aim was to compare the activity monitoring of stroke survivors by caregivers and physiotherapists in a hospital setting. Methods: An observation study was carried out in the neuroscience ward in a tertiary care hospital among 17 stroke survivors. Physiotherapist and caregivers were instructed to use an activity log chart that was developed during previous research conducted by the same authors for observing the activities performed by the patients every 15 minutes from 8 AM to 5 PM. Data collected were analysed using Stata 15. Kappa statistics were carried out to determine the agreement of the observations between the two raters. Results: A total of 10 male and seven female caregivers of stroke survivors with a mean age of 40.11 ± 9.2 years participated in the study. A total of 272 observations of caregivers were in agreement with that of the physiotherapist. Inter-rater Kappa statistics showed 60% agreement between the physiotherapist and the caregivers, while the multi-rater Kappa for different time points did not show agreement (Kappa value &lt;0.1). Conclusions: There was moderate agreement between the physiotherapist and caregiver for activity monitoring of stroke survivors. This suggests behavioural mapping by caregivers may be a potential alternative solution in healthcare settings.

Mobile Health (mHealth) Technology in Early Detection and Diagnosis of Oral Cancer-A Scoping Review of the Current Scenario and Feasibility.

Objective Oral cancer is one of the most common types of cancer with dreadful consequences. But it can be detected early without much expensive equipment. Screening and early detection of oral cancer using Mobile health (mHealth) technology are reported due to the availability of the extensive network of mobile phones across populations. Therefore, we aimed to explore the existing literature regarding mHealth feasibility in the early detection of oral cancer. Materials and Method. An extensive search was conducted to explore the literature on the feasibility of mobile health for early oral cancer. Clinical studies reporting kappa agreement between on-site dentists and offsite health care workers/dentists in the early detection of oral cancer were included in this review. Studies describing the development of a diagnostic device, app development, and qualitative interviews among practitioners trained in using mobile health were also included in this review for a broader perspective on mHealth. Results While most of the studies described various diagnostic accuracies using mHealth for oral cancer early detection, few studies reported the development of mobile applications, novel device designs for mHealth applications, and the feasibility of a few mHealth programs for early oral cancer detection. Community health workers equipped with a mobile phone-based app could identify “abnormal” oral lesions. Overall, many studies reported high sensitivity, specificity, and Kappa value of agreement. Effectiveness, advantages, and barriers in oral cancer screening using mHealth are also described. Conclusion The overall results show that remote diagnosis for early detection of oral cancer using mHealth was found useful in remote settings.

Reliability and Validity of the Adolescence Stress Scale (ADOSS) for Indian Adolescents.

Stress levels increase tremendously in adolescence. Indian adolescents derive much of their stress from school and family pressures. Developing a standardized tool to assess adolescent stress can help early diagnosis. This article aimed to assess the reliability and validity of the ADOlescence Stress Scale (ADOSS). ADOSS was administrated by trained interviewers to 100 adolescents (10-17 years) of both sexes in Chennai, South India. Salivary cortisol was used as an objective measure of stress in 40 adolescents. Reliability was assessed within a two weeks interval. Exploratory factor analysis was done for the baseline ADOSS scores. The internal consistency (Cronbach's alpha and spilt-half correlation), test-retest agreement (Kappa value), and inter-rater reliability (ICC) were assessed. Pearson correlation between salivary cortisol and ADOSS score was done. The inter-factor correlation between the inherent four ADOSS factors (personal, academic, family, and social) was between 0.73 and 0.87, and split-half correlation was between 0.70 and 0.83, showing that the factors are reliable and coherent. Test-retest agreement was Kappa: 0.63, P = 0.001, and ICC was 0.84. Pearson correlation showed a statistically significant positive correlation between cortisol levels and ADOSS scores (r = 0.87, P = 0.001). ADOSS is a reliable and valid tool to assess the overall stress of Indian adolescents in the age group of 10-17 years.

Evaluation of a novel multiplex qPCR method for rapid detection and quantification of pathogens associated with calf diarrhoea.

Diarrhoea is a common health problem in calves and a main reason for use of antimicrobials. It is associated with several bacterial, viral and parasitic pathogens, most of which are commonly present in healthy animals. Methods, which quantify the causative agents, may therefore improve confidence in associating a pathogen to the disease. This study evaluated a novel commercially available, multiplex quantitative polymerase chain reaction (qPCR) assay (Enterit4Calves) for detection and quantification of pathogens associated with calf-diarrhoea. Performance of the method was first evaluated under laboratory conditions. Then it was compared with current routine methods for detection of pathogens in faecal samples from 65 calves with diarrhoea and in 30 spiked faecal samples. The qPCR efficiencies were between 84%-103% and detection limits of 100-1000 copies of nucleic acids per sample were observed. Correct identification was obtained on 42 strains of cultured target bacteria, with only one false positive reaction from 135 nontarget bacteria. Kappa values for agreement between the novel assay and current routine methods varied between 0.38 and 0.83. The novel qPCR method showed good performance under laboratory conditions and a fair to good agreement with current routine methods when used for testing of field samples. In addition to having fair to good detection abilities, the novel qPCR method allowed quantification of pathogens. In the future, use of quantification may improve diagnosis and hence treatment of calf diarrhoea.

Comorbidities among patients with breast cancer during COVID-19: Agreement between patient-reported data and electronic medical records.

409 Background: Comorbidities are a major cause of complications in cancer patients and can increase the risk of severe illness from coronavirus disease 2019 (COV). Yet, in real-world studies of cancer patients, comorbidities are often not well captured in electronic medical records (EMR); self-reported comorbidities may be limited by recall error. Combining and comparing self-reported and EMR data may help identify key data gaps in comorbidity diagnosis. We aimed to estimate self-reported and EMR-documented comorbidities and examine agreement between these data sources in US patients with early-stage (eBC) or metastatic (mBC) breast cancer. Methods: From March 30 to July 6, 2021, patients (aged ≥18 years) who self-reported a BC diagnosis (no current Stage 0 or ductal carcinoma in situ) and provided consent were recruited via Ciitizen, a patient-mediated health records and real-world evidence platform, and patient advocacy groups to complete a cross-sectional online survey. EMR data from Invitae’s Ciitizen platform, covering November 1, 2019-September 28, 2021, were collected. The datasets were then linked; in preliminary assessment, depression (DEP), anxiety (ANX), and COV were the only comorbidities sufficiently populated to enable agreement analysis. DEP, ANX, and COV prevalence rates in EMR and survey data were computed. Agreement between data sources was estimated using Cohen’s kappa. Results: Overall, 542 patients in the linked sample were included in the analyses. A majority was female (99%), aged ≥50 years (52%), and diagnosed with mBC (53%). Patients were similarly distributed by US geographic region. DEP, ANX, and COV prevalence rates were 40%, 50%, and 6% in EMR and 20%, 16% and 10% in survey, respectively (Table). The kappa values for agreement were.5 (DEP),.3 (ANX), and.8 (COV). Conclusions: Mental health conditions and COV were prevalent in BC patients during the pandemic. It is important for oncologists to consider that DEP and ANX are often underreported among patients with BC. Agreement between data sources was low for mental health conditions. Self-report and EMR data may thus provide complementary information on comorbidities.[Table: see text]

Ultrafast lumbar spine MRI protocol using deep learning-based reconstruction: diagnostic equivalence to a conventional protocol.

To evaluate the diagnostic equivalency between an ultrafast (1min 53s) lumbar MRI protocol using deep learning-based reconstruction and a conventional lumbar MRI protocol (12min 31s). This study included 58 patients who underwent lumbar MRI using both conventional and ultrafast protocols, including sagittal T1-weighted, T2-weighted, short-TI inversion recovery, and axial T2-weighted sequences. Compared with the conventional protocol, the ultrafast protocol shortened the acquisition time to approximately one-sixth. To compensate for the decreased signal-to-noise ratio caused by the acceleration, deep learning-based reconstruction was applied. Three neuroradiologists graded degenerative changes and analyzed for presence of other pathologies. For the grading of degenerative changes, interprotocol intrareader agreement was assessed using kappa statics. Interchangeability between the two protocols was also tested by calculating the individual equivalence index between the intraprotocol interreader agreement and interprotocol interreader agreement. For the detection of other pathologies, interprotocol intrareader agreement was assessed. For the grading of degenerative changes, the kappa values for interprotocol intrareader agreement of all three readers ranged from 0.707 to 0.804, indicating substantial to almost perfect agreement. Except for foraminal stenosis and disc contour on axial images, the 95% confidence interval of the individual equivalence index was < 5%, indicating the two protocols were interchangeable. For the detection of other pathologies, the interprotocol intrareader agreement rates were > 98% for each individual pathology. Our proposed ultrafast lumbar spine MRI protocol provided almost equivalent diagnostic results to that of the conventional protocol, except for some degenerative changes.

Agreement between two scales used for assessing risk classification for thromboembolic events and the requirement of postpartum pharmacological prophylaxis

To determine agreement in assessing the need for postpartum pharmacological prophylaxis between the scale of the Royal College of Obstetricians and Gynaecologists and the Colombian guideline scale in a Level IV institution in Bogota, Colombia. Diagnostic agreement study assembled on a cross-sectional study. The included population consisted of pregnant women with 24 or more weeks of pregnancy admitted between March 1 and April 30 of 2021 to a high complexity private institution in Bogotá, Colombia, for labor induction, in active labor, for elective cesarean section, or who required urgent cesarean section. Convenience sampling was used. Measured variables included demographics, risk factors, risk classification and pharmacological prophylaxis according to the two scales. The prevalence of risk factors for each scale was estimated and agreement regarding prophylaxis indication between the two scales was measured using the weighted kappa value. Overall, 320 patients were included. According to the scale of the Royal College Obstetricians and Gynaecologists, 54.7 % patients were classified as low risk, 42.5 % as intermediate risk and 2.8 % as high risk. The Colombian scale classified 80 % of patients as low risk, 17.2 % as intermediate risk, 2.2 % as high risk, and 0.6 % as very high risk. The weighted kappa value for agreement regarding the indication was 0.47 (95 % CI: 0.38-0.56). Agreement between the two scales to determine the need for postpartum pharmacological prophylaxis is moderate. Risk classification criteria for the Colombian scale should be validated in a second cohort. Moreover, the predictive ability of the Colombian guideline tool should be assessed at different cut-off points in terms of the consequences of false positive and false negative results.

Cytological Grading of Breast Carcinomas and Its Prognostic Implications.

IntroductionDetermining the histological grade of breast carcinomas before mastectomy is necessary to decide about neoadjuvant chemotherapy. Core needle biopsies used for this purpose often under-grade the tumour. The grade obtained from fine needle aspiration cytology samples will help in such situations and whenever biopsy is not done, as in a resource-poor setup. Many studies are being done to find out the cytological grading system that correlates well with histological grading.MethodsThis study was done between 2016 and 2019 including the cases in which both modified radical mastectomy and fine needle aspiration of the tumour had been done. Robinson’s cytological grading was done in Papanicolaou and haematoxylin & eosin (H&E) stained cytology smears and correlated with modified Bloom-Richardson histologic grading done in modified radical mastectomy specimens. We also studied the prognostic significance of Robinson’s method by studying the association between cytological grade and lymph node metastasis.ResultsSixty cases were studied. The two methods had the same grade in 49 (81.7%) cases. They showed a significant positive correlation (Spearman correlation coefficient 0.848, p-0.0001), significant association (Chi-square test, p-0.0001), and substantial agreement (kappa value 0.72). Multiple regression analysis showed chromatin score and nucleoli score as the most influential parameters. Lymph node metastasis showed significant association with cytological grade (p-0.0003), cell dissociation score (p-0.0001), nucleoli score (p-0.01), and chromatin score (p-0.04).ConclusionRobinson’s cytological grading is a simple, reliable adjunct/alternative to core needle biopsies for grading breast carcinomas before mastectomy. Hence, it can be made a part of routine cytology reporting of breast carcinomas. Further long-term studies will help in confirming its prognostic significance.

Seroprevalence, risk factors, and serological cross-reactivity for diagnosis of Toxoplasma gondii and Neospora caninum infections in goats in India

Toxoplasma gondii and Neospora caninum are genetically related cyst-forming protozoan parasites that cause reproductive failures in ruminants. Given the limited information on the epidemiology of these infections in goats in India, the study aimed to estimate the seroprevalence, assess antibody cross-reactivity for diagnosis, and identify associated risk factors. A total of 695 sera were evaluated for antibodies to T. gondii and N. caninum infections using Modified Agglutination Test (MAT for Toxoplasma)/Neospora agglutination test (NAT), Enzyme-linked immunosorbent assay (ELISA), and Indirect Fluorescent Antibody Test (IFAT for tachyzoite and bradyzoite stages). The seroprevalence rate of T. gondii and N. caninum infections was 56.9% and 10.9%, respectively. Inter-rater agreement (kappa value - κ) was calculated to assess agreements between various diagnostic assays, using the IFAT as the gold standard (for detecting both infections), the agreements for MAT/NAT (κ = 0.97) and the ELISA (κ = 0.95) were excellent. The acute infection among seropositive goats were determined using serological (IgG avidity test - measures the binding strength between IgG antibodies and parasite antigens) and molecular diagnoses (PCR for repetitive DNA sequences – Toxoplasma B1 gene: 131 bp and Neospora NC5 gene: 328 bp). Among seropositive goats ≥80% had high IgG avidity and <10% of animals had low IgG avidity antibodies for both infections. Most low IgG avidity goats were PCR positive for the TgB1 gene (94.4%) or Nc5 gene (85.7%). In the serological assays, we used different dilutions of test serum to rule out the cross-reactivity owing to similar antigenic makeup between these two parasites. When the serological cross-reactivity was analyzed using invasion assay at a serum titer of ≥200, more than 90% T. gondii positive sera showed host cell invasion of N. caninum and vice versa. Largely, the serological results indicate that cut-off serum dilution of ≥1:200 for ELISA and IFAT and ≥1:25 for MAT/NAT avoids serological cross-reactivity between T. gondii and N. caninum. Further, the Univariate and multivariate analyses showed that adult animals (>2 years), reservoir hosts, and extensive rearing systems are common risk factors for these infections. However, the history of abortion was identified as a significant risk factor for T. gondii infection. This study revealed that T. gondii and N. caninum infections are highly prevalent in this region and the use of an appropriate cut-off serum dilution is necessary to avoid cross-reactivity between these closely related parasites.

Accuracy of MR arthrography in the detection of posterior glenoid labral injuries of the shoulder

ObjectiveThe purpose of this study is to evaluate the accuracy of MR arthrography in detecting isolated posterior glenoid labral injuries using arthroscopy as the reference standard.MethodsMR arthrograms of 97 patients with isolated posterior glenoid labral tears by arthroscopy and those of 96 age and gender-matched controls with intact posterior labra were reviewed by two blinded radiologists for the presence and location of posterior labral abnormalities. The sensitivity and specificity of detection of posterior labral tears were calculated as well as the prevalence of associated pathologies. Medical records were reviewed for demographics, history and direction of shoulder instability, and prior surgery.ResultsPosterior labral pathology was detected by MR arthrography with sensitivities of 76% and 84% for readers 1 and 2, and a specificity of 88% for both readers. Kappa value for interreader agreement was 0.91. Twenty-two of twenty-three (96%) tears isolated to the posteroinferior quadrant on arthroscopy were correctly identified on MRI. Commonly associated pathologies included paralabral cyst (38%), humeral fracture (7%), and glenoid fracture (2%). Fifteen of ninety-seven (16%) patients with posterior tears on both arthroscopy and MRI had glenoid rim deficiency on imaging versus no patients with intact posterior labra (p < 0.001). Forty of ninety-seven (41%) patients with posterior tears on arthroscopy had a history of posterior instability versus none without posterior tears. There was no significant difference in tear length on MRI between those with a history of instability and those without (p = 0.56).ConclusionMR arthrography is accurate in detecting posterior glenoid labroligamentous injuries.

Development, validation and field evaluation of an indirect ELISA for the detection of antibodies against Brucella abortus in bulk and individual milk samples in dairy cattle

Brucellosis is an abortigenic and zoonotic disease. In cattle, it is mainly caused by Brucella abortus. The disease is endemic in low- and middle-income countries, being considered a neglected zoonotic disease. In these countries, it is of high importance to develop and validate sensitive, specific and low-cost diagnostic assays for brucellosis. The aim of the present study was the development of an indirect enzyme-linked immune assay (iELISA) to detect anti-B. abortus antibodies in milk samples. We purified the lipopolysaccharide antigen from B. abortus and produced an anti-bovine IgG monoclonal antibody to develop an iELISA (iELISAINTA). The iELISAINTA was validated using 1730 bulk milk samples and 1734 individual milk samples. The sampled dairy herds had at least 3 years of consistency at their positive or negative official brucellosis status. Individual milk samples were taken in parallel with serum samples from the cows. The status of the cows was defined by the result of the complement fixation test (CFT) performed with their serum sample. The reproducibility of the assay was evaluated in two laboratories. In addition, we evaluated the performance of the assay in the field, using 4385 bulk milk samples and 968 individual milk samples. The results of the iELISAINTA were compared with those obtained using the officially accepted brucellosis techniques: iELISA from Canada (iELISACFIA) in milk samples, and the buffered plate antigen (BPA) and the CFT in serum samples. At validation, the sensitivity (Se) of the iELISAINTA in bulk milk samples was 98.61 %, and the specificity (Sp) 98.79 % with a ≥ 10 % of positivity (PP) cutoff. In individual milk samples, the Se was 98.04 %, and the Sp 98.56 % with a ≥ 16 PP cutoff. The chance-corrected agreement kappa value (κ) between the results obtained in the different laboratories was κ = 0.87. In the field evaluation, in bulk milk samples the κ value between the iELISAINTA and the iELISACFIA was κ = 0.86. On individual milk samples, the κ values were: between the iELISAINTA and the iELISACFIA κ = 0.79, between the iELISAINTA and BPA was κ = 0.85, and between the iELISAINTA and CFT κ = 0.82. The developed iELISAINTA showed a very good performance and it could be used as a screening assay for anti-B. abortus antibodies detection in individual milk samples and for epidemiologic surveillance in bulk milk samples.

Validation of qPCR from a crude extract for the rapid detection of white spot syndrome virus.

White spot disease (WSD) has posed a serious threat to the China and the global shrimp aquaculture. In order to diagnose white spot syndrome virus (WSSV) early and prevent the spread and outbreak of WSD, it is necessary to establish a highly sensitive WSSV diagnosis method suitable for shrimp farming sites. In this study, a pre-amplification qPCR assay from the crude extract of samples heated lysis was established, which was further compared with the universal qPCR assay to verify the shrimp samples. The limit of detection (LOD) of pre-amplification qPCR assay and universal qPCR assay was 2.80 copies and 20.57 copies per reaction at 95% CI, respectively. It had good WSSV specificity and did not show cross-detection of infectious hypodermal and hematopoietic necrosis virus (IHHNV), hepatopancreatic parvovirus (HPV), Enterocytozoon hepatopenaei (EHP), acute hepatopancreas necrosis disease (AHPND), necrotizing hepatopancreatitis bacteria (NHPB), and decapod iridescent virus 1 (DIV1). A total of 36 shrimp samples were detected as WSSV DNA positive by pre-amplification qPCR with crude extract from samples heated lysis and universal qPCR with DNA extraction. The diagnostic sensitivity and specificity were 97.22% (85.5 ~ 99.9%, 95% CI) and 100% (81.5 ~ 100%, 95% CI), respectively. The agreement Kappa value was 0.959 (0.879 ~ 1, 95% CI), and the analysis results were basically consistent. Eliminating the tedious steps of extracting DNA and using pre-amplified qPCR to detect WSSV in shrimp, it is a good choice for aquaculture farms.Graphical abstract Supplementary InformationThe online version contains supplementary material available at 10.1007/s10499-022-00920-9.