The use of standardized reference antigens in the serogrouping of streptococci.
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Animals↗
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[Industrial output of a hemiglobincyanide reference standard].
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Methemoglobin↗
[Certification of a reference standard Hemoglobin cyanide in industrial output].
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Hemoglobins↗
Xpert MTB/RIF Ultra assay for tuberculosis disease and rifampicin resistance in children.
BACKGROUND: In 2023, an estimated 1.3 million children (aged 0-14 years) became ill with tuberculosis, and 166,000 children (aged 0-15 years) died from the disease. Xpert MTB/RIF Ultra (Xpert Ultra) is a molecular World Health Organization (WHO)-recommended rapid diagnostic test that detects Mycobacterium tuberculosis complex and rifampicin resistance. This is an update of a Cochrane review first published in 2020 and last updated in 2022. Parts of the current update informed the 2024 WHO updated guidance for the diagnosis of tuberculosis. OBJECTIVES: To assess the diagnostic accuracy of Xpert Ultra for detecting pulmonary tuberculosis, tuberculous meningitis, lymph node tuberculosis, and rifampicin resistance in children (aged 0-9 years) with presumed tuberculosis. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, three other databases, and three trial registers without language restrictions to 6 October 2023. SELECTION CRITERIA: For study design, we included cross-sectional and cohort studies and randomized trials that evaluated Xpert Ultra in HIV-positive and HIV-negative children aged birth to nine years. Regarding specimen type, we included studies evaluating sputum, gastric, stool, or nasopharyngeal specimens (pulmonary tuberculosis); cerebrospinal fluid (tuberculous meningitis); and fine needle aspirate or surgical biopsy tissue (lymph node tuberculosis). Reference standards for detection of tuberculosis were microbiological reference standard (MRS; including culture) or composite reference standard (CRS); for stool, we considered Xpert Ultra in sputum or gastric aspirates in addition to culture. Reference standards for detection of rifampicin resistance in sputum were phenotypic drug susceptibility testing or targeted or whole genome sequencing. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data and assessed methodological quality using the tailored QUADAS-2 tool, judging risk of bias separately for each target condition and sample type. We conducted separate meta-analyses for detection of pulmonary tuberculosis, tuberculous meningitis, lymph node tuberculosis, and rifampicin resistance. We used a bivariate model to estimate summary sensitivity and specificity with 95% confidence intervals (CIs). We assessed certainty of evidence using the GRADE approach. MAIN RESULTS: This update included 23 studies (including 9 new studies since the previous review) that evaluated detection of pulmonary tuberculosis (21 studies, 9223 children), tuberculous meningitis (3 studies, 215 children), lymph node tuberculosis (2 studies, 58 children), and rifampicin resistance (3 studies, 130 children). Seventeen studies (74%) took place in countries with a high tuberculosis burden. Overall, risk of bias and applicability concerns were low. Detection of pulmonary tuberculosis (microbiological reference standard) Sputum (11 studies) Xpert Ultra summary sensitivity was 75.3% (95% CI 68.9% to 80.8%; 345 children; moderate-certainty evidence), and specificity was 95.9% (95% CI 92.3% to 97.9%; 2645 children; high-certainty evidence). Gastric aspirate (12 studies) Xpert Ultra summary sensitivity was 69.6% (95% CI 60.3% to 77.6%; 167 children; moderate-certainty evidence), and specificity was 91.0% (95% CI 82.5% to 95.6%; 1792 children; moderate-certainty evidence). Stool (10 studies) Xpert Ultra summary sensitivity was 68.0% (95% CI 50.3% to 81.7%; 255 children; moderate-certainty evidence), and specificity was 98.2% (95% CI 96.3% to 99.1%; 2630 children; high-certainty evidence). Nasopharyngeal aspirate (6 studies) Xpert Ultra summary sensitivity was 46.2% (95% CI 34.9% to 57.9%; 94 children; moderate-certainty evidence), and specificity was 97.5% (95% CI 95.1% to 98.7%; 1259 children; high-certainty evidence). Xpert Ultra sensitivity was lower against CRS than against MRS for all specimen types, while the specificities were similar. Extrapulmonary tuberculosis Meta-analysis was not possible for lymph node tuberculosis and tuberculous meningitis due to low study numbers. Interpretation of results For a population of 1000 children, where 100 have pulmonary tuberculosis: In sputum: • 112 would be Xpert Ultra positive, of whom 75 would have pulmonary tuberculosis (true positives) and 37 would not (false positives). • 888 would be Xpert Ultra negative, of whom 863 would not have pulmonary tuberculosis (true negatives) and 25 would have pulmonary tuberculosis (false negatives). In gastric aspirate: • 151 would be Xpert Ultra positive, of whom 70 would have pulmonary tuberculosis (true positives) and 81 would not (false positives). • 849 would be Xpert Ultra negative, of whom 819 would not have pulmonary tuberculosis (true negatives) and 30 would have pulmonary tuberculosis (false negatives). In stool: • 85 would be Xpert Ultra positive, of whom 68 would have pulmonary tuberculosis (true positives) and 17 would not (false positives). • 915 would be Xpert Ultra negative, of whom 883 would not have pulmonary tuberculosis (true negatives) and 32 would have pulmonary tuberculosis (false negatives). In nasopharyngeal aspirate: • 68 would be Xpert Ultra positive, of whom 46 would have pulmonary tuberculosis (true positives) and 22 would not (false positives). • 932 would be Xpert Ultra negative, of whom 878 would not have pulmonary tuberculosis (true negatives), and 54 would have pulmonary tuberculosis (false negatives). Detection of rifampicin resistance Three studies with 76 children evaluated detection of rifampicin resistance (sputum only); two of these studies reported no cases and one reported rifampicin resistance in two children. AUTHORS' CONCLUSIONS: Xpert Ultra sensitivity was moderate in sputum, gastric aspirate, and stool specimens. Nasopharyngeal aspirate had the lowest sensitivity. Xpert Ultra specificity was high against both MRS and CRS. We were unable to determine the accuracy of Xpert Ultra for detecting tuberculous meningitis, lymph node tuberculosis, and rifampicin resistance due to a paucity of data. FUNDING: This update was funded through WHO. REGISTRATION: The protocol for this review was originally published through Cochrane in 2019. The protocol for this update was a generic protocol that consolidated previously published Cochrane protocols of Xpert Ultra for tuberculosis detection and can be accessed at https://osf.io/26wg7/. Protocol (2019) DOI: 10.1002/14651858.CD013359 Original review (2020) DOI: 10.1002/14651858.CD013359.pub2 Review update (2022) DOI: 10.1002/14651858.CD013359.pub3.
Adolescent↗
Diagnostic Performance of Machine Learning for Systemic Lupus Erythematosus: Systematic Review and Meta-Analysis.
BACKGROUND: Early and accurate diagnosis of systemic lupus erythematosus (SLE) and its organ involvement is essential. Previous reviews of machine learning (ML) in SLE combined heterogeneous tasks and validation strategies and may have overinterpreted model performance. OBJECTIVE: This study evaluated the diagnostic performance of ML and deep learning (DL) models for 3 clinically distinct SLE-related tasks: SLE classification or diagnosis, lupus nephritis (LN) diagnosis, and neuropsychiatric systemic lupus erythematosus (NPSLE) discrimination. We also assessed methodological quality and certainty of evidence. METHODS: PubMed, Embase, Cochrane Library, Web of Science, and IEEE Xplore were searched from January 2014 to April 2026. Eligible peer-reviewed diagnostic accuracy studies developed or validated ML or DL models for 1 of the 3 prespecified tasks, used an accepted reference standard, and provided data for a 2×2 contingency table. Bivariate random-effects meta-analyses with the Hartung-Knapp-Sidik-Jonkman adjustment were used to pool sensitivity and specificity. We reported 95% prediction intervals (PIs), assessed risk of bias using the Quality Assessment of Diagnostic Accuracy Studies for Artificial Intelligence tool (QUADAS-AI; Viknesh Sounderajah [Imperial College London]), and evaluated certainty of evidence using the Grading of Recommendations Assessment, Development, and Evaluation framework for diagnostic test accuracy. RESULTS: Twenty-nine studies were included: 17 for SLE classification, 5 for LN diagnosis, and 7 for NPSLE discrimination. In the primary task-stratified analysis, pooled sensitivity was 0.91 (95% CI 0.86-0.94; 95% PI 0.56-0.99), and pooled specificity was 0.94 (95% CI 0.91-0.96; 95% PI 0.69-0.99), with low heterogeneity (I²=23.9% and 22.9%, respectively). DL models showed a sensitivity of 0.93 and specificity of 0.95, compared with 0.88 and 0.94 for traditional ML models. Certainty of evidence was high for most analyses but low for LN diagnosis because of inconsistency and imprecision. All studies were retrospective, and only 9 of 29 (31%) performed independent external validation. Overall risk of bias was high or unclear in 22 of 29 (75.9%) studies. No study reported model calibration, decision-curve analysis, or net clinical benefit. CONCLUSIONS: ML models showed promising diagnostic accuracy across 3 distinct SLE-related tasks, but wide PIs, limited external validation, and pervasive risk of bias restrict conclusions about real-world generalizability. Prospective multicenter studies with standardized tasks and reference standards, independent external validation, and formal assessment of calibration and clinical utility are required before clinical implementation.
Humans↗
Standardisation in the Analytical Characterization of Adeno-Associated Virus (AAV) Vectors.
Adeno-associated virus (AAV) has become a leading vector for in vivo gene therapy, with eight products currently holding marketing authorization. As the field rapidly evolves, the need for robust analytical methods to characterize critical quality attributes (CQAs)-including capsid titer, genome titer, capsid content (empty/full ratio), identity, and purity-continues to grow. Reference Standard Materials (RSMs) play a pivotal role by providing well-characterized, standardized AAV batches that serve as universal benchmarks. RSMs facilitate the validation of emerging analytical technologies, ensure the accuracy and reproducibility of routine assays, and enable inter-laboratory comparability. However, developing universal AAV RSMs is fundamentally constrained by the complex biology, diversity of serotypes, vector genomes, and engineered capsid variants, necessitating serotype-specific and application-specific standards. Recent advances, including the release of pharmacopeial AAV8 reference standards characterized by multiple orthogonal methods, represent meaningful progress toward measurement harmonisation. This review addresses the critical need for RSMs in AAV gene therapy, evaluates the currently available pharmacopeial and commercial standards, and outlines practical strategies for in-house RSM development. Establishing robust, serotype-specific AAV RSMs and harmonised standard operating protocols (SOPs) are essential for advancing AAV gene therapy and ensuring accuracy, reproducibility, and safety across research, development, and clinical manufacturing.
Dependovirus↗
Diagnostic performance of the Sanity 2.0 assay to detect resistance to rifampicin, isoniazid, and fluoroquinolones in tuberculosis.
UNLABELLED: Effective tuberculosis (TB) management relies on prompt diagnosis of Mycobacterium tuberculosis complex (MTBC) and associated drug resistance. The Sanity 2.0 assay is a high-resolution melting assay designed for direct respiratory sample testing, enabling simultaneous detection of MTBC and resistance to rifampicin (RIF), isoniazid (INH), and fluoroquinolones (FQ) in a single step. This study evaluated its diagnostic performance in two registered multicenter trials among bacteriologically confirmed TB patients. Diagnostic performance was evaluated for MTBC detection, as well as for the identification of resistance to RIF, INH, and FQ, using phenotypic drug susceptibility testing, whole-genome sequencing, and a composite reference standard. Agreement analyses were conducted between the Sanity 2.0 assay and Xpert MTB/RIF and Xpert MTB/XDR. Among 611 patients, the Sanity 2.0 assay detected MTBC in 563 patients, exhibiting a sensitivity of 92.1% (95% CI: 89.7-94.0). For detecting resistance to RIF, INH, and FQ, sensitivities exceeded 90%, with specificities of 95.8% (95% CI: 88.5-98.6), 100.0% (95% CI: 96.4-100.0), and 97.8% (95% CI: 93.8-99.3) against the composite reference standard, respectively. The agreement with Xpert MTB/RIF for RIF detection was 98.6% (95% CI: 96.9-99.3). For INH and FQ resistance, the agreement with Xpert MTB/XDR was 92.0% (95% CI: 88.5-94.5) and 94.3% (95% CI: 91.2-96.3), respectively. The Sanity 2.0 assay is a rapid and user-friendly platform capable of detecting both MTBC and key drug resistance. It demonstrated good diagnostic performance and could potentially be an effective alternative to guide individualized anti-TB treatment, especially in resource-limited settings. IMPORTANCE: Rapid and accurate detection of both Mycobacterium tuberculosis complex (MTBC) and key drug resistance is critical to improving tuberculosis treatment outcomes and reducing transmission. However, current molecular diagnostic workflows often require sequential testing, which can delay the initiation of effective and individualized therapy. We evaluated the Sanity 2.0 assay, an integrated high-resolution melting test that simultaneously detects MTBC and resistance to rifampicin, isoniazid, and fluoroquinolone resistance directly from respiratory samples in about 2-3 hours. The assay demonstrated excellent performance, with MTBC detection sensitivity of 92.1% and drug resistance sensitivities exceeding 90% and specificities over 95% against a composite reference standard, as well as strong concordance with World Health Organization-endorsed molecular assays. Implementation of the Sanity 2.0 assay could streamline TB diagnostic workflows; enable rapid, single-step resistance profiling; and facilitate timely, individualized treatment-particularly in resource-limited settings where rapid and comprehensive resistance testing remains a critical unmet need.
Humans↗
Diagnostic accuracy of nuclear STAT6 immunohistochemistry for solitary fibrous tumour: a systematic review and meta-analysis.
Nuclear STAT6 immunohistochemistry is the diagnostic surrogate for the NAB2::STAT6 fusion of solitary fibrous tumour (SFT); its sensitivity is established, but specificity varies for unexamined reasons. This review quantified pooled accuracy and tested whether antibody clone and nuclear threshold govern specificity. PubMed, Scopus and Web of Science were searched to 29 June 2026 for studies reporting nuclear STAT6 immunohistochemistry against a reference standard (NAB2::STAT6 confirmation and/or expert consensus) in SFT and comparators, with extractable two-by-two data. Two reviewers screened, extracted data and applied QUADAS-2. A bivariate generalised linear mixed model gave summary sensitivity and specificity, and exploratory subgroup analysis and meta-regression tested antibody clone, anatomical site and reference-standard type. Twenty-three studies (1216 SFT and 4715 comparators) were included. Summary sensitivity was 98.7% (95% confidence interval 96.7-99.5) and specificity 99.1% (97.8-99.6); the diagnostic odds ratio was approximately 8656. The monoclonal YE361 subgroup (8 studies) reached specificity 99.9% (99.3-100), with one false positive among 861 comparators, versus 98.1% (96.0-99.1) for polyclonal and other antibodies. False positives concentrated in dedifferentiated liposarcoma and prostatic stromal tumours. Estimates were stable after removing studies at higher risk of bias (98.9%/99.1%) and on leave-one-out analysis; the Deeks test was non-significant (p = 0.08). Nuclear STAT6 immunohistochemistry is therefore highly sensitive and specific for SFT, and the residual specificity loss is structured and largely avoidable: the monoclonal YE361 read at a strict nuclear threshold is preferred, with MDM2 and CDK4 applied to exclude dedifferentiated liposarcoma when nuclear STAT6 is unexpectedly positive.
Humans↗
Evaluating culture-free targeted next-generation sequencing for diagnosing drug-resistant tuberculosis: a multicentre clinical study of two end-to-end commercial workflows.
BACKGROUND: Drug-resistant tuberculosis remains a major obstacle in ending the global tuberculosis epidemic. Deployment of molecular tools for comprehensive drug resistance profiling is imperative for successful detection and characterisation of tuberculosis drug resistance. We aimed to assess the diagnostic accuracy of a new class of molecular diagnostics for drug-resistant tuberculosis. METHODS: We conducted a prospective, cross-sectional, multicentre clinical evaluation of the performance of two targeted next-generation sequencing (tNGS) assays for drug-resistant tuberculosis at reference laboratories in three countries (Georgia, India, and South Africa) to assess diagnostic accuracy and index test failure rates. Eligible participants were aged 18 years or older, with molecularly confirmed pulmonary tuberculosis, and at risk for rifampicin-resistant tuberculosis. Sensitivity and specificity for both tNGS index tests (GenoScreen Deeplex Myc-TB and Oxford Nanopore Technologies [ONT] Tuberculosis Drug Resistance Test) were calculated for rifampicin, isoniazid, fluoroquinolones (moxifloxacin, levofloxacin), second line-injectables (amikacin, kanamycin, capreomycin), pyrazinamide, bedaquiline, linezolid, clofazimine, ethambutol, and streptomycin against a composite reference standard of phenotypic drug susceptibility testing and whole-genome sequencing. FINDINGS: Between April 1, 2021, and June 30, 2022, 832 individuals were invited to participate in the study, of whom 720 were included in the final analysis (212, 376, and 132 participants in Georgia, India, and South Africa, respectively). Of 720 clinical sediment samples evaluated, 658 (91%) and 684 (95%) produced complete or partial results on the GenoScreen and ONT tNGS workflows, respectively, with 593 (96%) and 603 (98%) of 616 smear-positive samples producing tNGS sequence data. Both workflows had sensitivities and specificities of more than 95% for rifampicin and isoniazid, and high accuracy for fluoroquinolones (sensitivity approximately ≥94%) and second line-injectables (sensitivity 80%) compared with the composite reference standard. Importantly, these assays also detected mutations associated with resistance to critical new and repurposed drugs (bedaquiline, linezolid) not currently detectable by any other WHO-recommended rapid diagnostics on the market. We note that the current format of assays have low sensitivity (≤50%) for linezolid and more work on mutations associated with drug resistance is needed. INTERPRETATION: This multicentre evaluation demonstrates that culture-free tNGS can provide accurate sequencing results for detection and characterisation of drug resistance from Mycobacterium tuberculosis clinical sediment samples for timely, comprehensive profiling of drug-resistant tuberculosis. FUNDING: Unitaid.
Humans↗
Performance of AI-Based Screening Tools for Obstructive Sleep Apnea Across Apnea-Hypopnea Index Thresholds: Systematic Review and Meta-Analysis.
BACKGROUND: Obstructive sleep apnea (OSA) is highly prevalent but remains substantially underdiagnosed. Polysomnography (PSG) is the reference standard, but its cost and limited availability constrain large-scale case identification. AI-based screening tools may support risk stratification and referral prioritization, but their diagnostic accuracy across apnea-hypopnea index (AHI) thresholds remains uncertain. OBJECTIVE: This review aimed to systematically evaluate the diagnostic accuracy of AI-based OSA screening tools at AHI thresholds of ≥5, ≥15, and ≥30 events/hour, with emphasis on models using non-PSG-derived inputs. METHODS: PubMed, Embase, Scopus, and Web of Science were searched for studies published from January 1, 2016, to May 3, 2026. Eligible studies included adults evaluated for suspected OSA or recruited from population-based cohorts, assessed AI-based models intended or interpretable for OSA screening, risk prediction, or screening-oriented severity classification, used PSG as the reference standard, and reported sufficient data to construct or reconstruct 2×2 contingency tables. Diagnostic accuracy was synthesized separately by AHI threshold and input source using bivariate random-effects models, with 95% CIs and prediction intervals (PIs). Risk of bias and certainty of evidence were assessed using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) and GRADE (Grading of Recommendations Assessment, Development, and Evaluation), respectively. RESULTS: A total of 60 studies were included, of which 47 contributed data to the meta-analysis. At AHI thresholds of ≥5, ≥15, and ≥30 events/hour, pooled sensitivities were 0.94 (95% CI 0.92-0.96; 95% PI 0.71-0.99), 0.87 (95% CI 0.84-0.89; 95% PI 0.66-0.96), and 0.83 (95% CI 0.79-0.87; 95% PI 0.61-0.94), respectively; the corresponding specificities were 0.77 (95% CI 0.69-0.84; 95% PI 0.30-0.96), 0.81 (95% CI 0.75-0.85; 95% PI 0.39-0.96), and 0.91 (95% CI 0.87-0.94; 95% PI 0.55-0.99), respectively. The corresponding areas under the summary receiver operating characteristic curves were 0.943, 0.907, and 0.920. For non-PSG-derived tools, sensitivities were 0.92, 0.85, and 0.81, and specificities were 0.70, 0.74, and 0.85 at the 3 thresholds, respectively. For PSG-derived models, sensitivities were 0.96, 0.90, and 0.85, and specificities were 0.82, 0.88, and 0.96, respectively. Exploratory subgroup analyses suggested performance variation across selected study and model characteristics, including region, algorithmic framework, data source, and validation method. CONCLUSIONS: AI-based tools showed generally favorable screening performance for OSA across clinically relevant AHI thresholds, although wide PIs suggest variable performance across future comparable populations and settings. By synthesizing diagnostic accuracy across 3 AHI thresholds and distinguishing non-PSG-derived from PSG-derived models, this review extends previous broad or modality-specific reviews and offers a clinically interpretable, pathway-specific basis for linking model performance to intended use. The findings may clarify potential roles for non-PSG-derived tools in front-end screening and referral prioritization and for PSG-derived models in reduced-channel assessment and sleep-laboratory workflow support. Given substantial heterogeneity, limited external validation, and low or very low certainty of evidence, prospective validation is needed before routine implementation.
Humans↗
The serology of Pseudomonas aeruginosa analysed by means of quantitative immunoelectrophoretic methods. V. Thermostability, resistance to degradation by plasmin activity and storage conditions of a polyvalent P. aeruginosa reference standard-antigen.
The stability of a polyvalent Pseudomonas aeruginosa antigen (St-Ag) was analysed under different experimental conditions by quantitative immunoelectrophoretic methods. St-Ag did not undergo proteolytic degradation by plasmin which is present in the corresponding polyvalent rabbit antiserum (St-Ab) against St-Ag. Storage at -30 degrees C for up to 4 years caused no qualitative changes in St-Ag and, after 1 year, only minor quantitative changes could be revealed. Repeated thawing and freezing caused no changes in St-Ag whereas storage at 4 degrees C, or at room temperature, caused gradual degradation of most of the antigens of St-Ag, beginning after 1 week. Heating up to 40 degrees C for 2 min did not change St-Ag, but heating for longer periods of time or at higher temperatures gradually destroyed most of the antigens of St-Ag. The most thermostable antigen in St-Ag was number 37 which is related to the group specific O antigens.
Antigens, Bacterial↗
Serum standards for the bioassay of aminoglycosides in cerebrospinal fluid.
Four diluents were compared as reference standards for the assay of gentamicin in cerebrospinal fluid (CSF): human CSF, human serum, distilled water, and 150 mmol NaCl/4.5 mmol CaCl2. Standards prepared in pooled human serum were the best alternative to CSF for the assay of gentamicin and were also useful for the assay of tobramycin, netilmicin, amikacin, and sisomicin. The pH (6.0-9.8) of CSF did not alter the results of the assay.
Aminoglycosides↗
Which radiographic plane should be used to quantify the distal tibia angle on weightbearing CT images?
BACKGROUND: Precise quantification of distal tibial alignment is essential for planning corrective osteotomies and ankle joint replacement surgery. The lateral distal tibial angle (LDTA) is the principal radiographic parameter used for this purpose. While LDTA is increasingly measured on weightbearing cone-beam CT (WBCT) using two-dimensional coronal slices, the optimal measurement plane remains unclear. METHODS: In this retrospective comparative study, full-leg WBCT scans of patients scheduled for supramalleolar osteotomy (n = 20; mean age 47 ± 12.8 years) were analyzed. LDTA was measured on three coronal planes of the distal tibial plafond (anterior edge, mid-dome, posterior edge) and compared with semi-automated three-dimensional (3D) tibial alignment measurements as the reference standard. RESULTS: Mid-dome LDTA showed no significant difference from the 3D reference (p > 0.05) and demonstrated excellent agreement. Anterior measurements significantly overestimated LDTA, while posterior measurements underestimated it (both p < 0.05), with only fair agreement. CONCLUSION: LDTA should be measured at the mid-dome of the distal tibial plafond on WBCT to ensure accurate and reproducible alignment assessment. LEVEL OF EVIDENCE: Level III - Retrospective Comparative Study.
Humans↗
Comparison of protein values in cerebrospinal fluid by nephelometry and radial immunodiffusion.
Various parameters of three radial immunodiffusion systems, a kinetic nephelometer and two laser nephelometers were compared in a measurement of IgG and albumin in cerebrospinal fluid. Greater precision for IgG and albumin determinations was found with two RID systems. Correlation coefficients between methods ranged from 0.71 to 0.94. The generally poor correlations of methods, combined with the results of accuracy studies employing WHO standard reference dilutions and proportional errors demonstrated by linear regression equations, illustrate graphically the need for standardization in the field of immunochemical determinations. Our preliminary studies of the IgG/Alb ratio in cerebrospinal fluid of multiple sclerosis patients agreed with the work of others. In each case, the ratio was elevated or borderline high.
Albumins↗
Application of a spectrophotometric method to the determination of the composition of oligonucleotides obtained from cysteine transfer ribonucleic acid.
1. The applications of methods for determining the composition of oligonucleotides from u.v.-absorption spectra is described. 2. In the first method absorbances at selected wave-lengths were read from the spectra of oligonucleotides in solution in 7 M-urea which had been recorded at acid and alkaline pH values. 3. In the second method absorbances were sampled automatically at regular time-intervals during scans at acid and alkaline pH of each spectrum, converted into digital signals and recorded on paper take for computer processing. The holmium spectrum in the region of the holmium peak at 333.7 nm was superimposed on each nucleotide spectrum. The position of this peak maximum was used as a standard reference point in the computer-based analysis. 4. By using either method the composition was calculated by a least-squares procedure by using a library of values for five standard nucelotides obtained in a similar manner. 5. The methods gave satisfactory compositions for mixtures of mononucleotides as well as for five dinucleoside monophosphates. 6. Methods of minimizing the effects on the nucleotide composition of spectural changes due to base stacking are discussed. 7. The compositions of some oligonucleotides obtained during an investigation of the nucleotide sequence of tRNA (Cys) were determined and agreed with the sequences found by other methods.
Base Sequence↗
Use of indocyanine green fluorescence versus patent blue V dye for sentinel lymph node biopsy in early breast cancer, a randomized controlled trial.
BACKGROUND: Sentinel lymph node biopsy (SLNB) is standard for axillary staging in early breast cancer. While the combination of radioisotope and blue dye (e.g., patent blue V, PBV) remains the standard, it has limitations including logistics, variable identification rate (IR), and allergic potential. Indocyanine green (ICG) fluorescence is a promising alternative, but high-quality comparative evidence is needed. METHODS: This was a single-center, prospective, randomized controlled trial. Forty patients with early-stage, node-negative breast cancer were allocated to SLNB using either ICG (n = 20) or PBV (n = 20). All patients subsequently underwent completion level I-II axillary lymph node dissection (ALND) as the pathological reference standard for diagnostic performance assessment. Primary outcome was sentinel lymph node (SLN) IR. Secondary outcomes included detection time, number of SLNs retrieved, false-negative rate (FNR), and safety. RESULTS: Baseline characteristics were comparable between groups. The SLN IR was significantly higher with ICG (100% [20/20]) than with PBV (75% [15/20], p = 0.047). ICG was associated with a significantly shorter median detection time (14.5 vs. 24.0 min, p < 0.001) and retrieved more SLNs (mean: 3.6 vs. 2.4, p = 0.002). Most critically, ICG demonstrated 100% sensitivity, specificity, negative predictive value (NPV), and overall diagnostic accuracy, with a 0% FNR. In contrast, PBV achieved a sensitivity of 75%, an overall diagnostic accuracy of 90%, and an FNR of 25%. No ICG-related adverse events occurred. PBV caused skin discoloration in 75% of patients and one (5%) allergic reaction. CONCLUSION: ICG fluorescence achieved a higher SLN IR, shorter detection time, higher sensitivity, lower FNR, and fewer tracer-related adverse events than PBV as a single tracer for SLNB in patients with early-stage breast cancer. These findings suggest that ICG is a promising standalone tracer when radioisotope mapping is unavailable. Larger multicenter studies are required before widespread adoption can be recommended.
Humans↗
Characteristics of p53 and Smad4 immunohistochemistry in pancreatic ductal adenocarcinoma and validation by next-generation sequencing.
BACKGROUND: Mutations in four major driver genes -KRAS, CDKN2A, TP53, and SMAD4- are central to the pathogenesis of pancreatic ductal adenocarcinoma (PDAC) and critically inform diagnosis, therapeutic decision-making, and prognostic assessment. Although next-generation sequencing (NGS) is widely regarded as the gold standard for detecting these mutations, its clinical application is often limited by suboptimal analytical efficiency and substantial economic cost. Among these genes, immunohistochemical (IHC) staining for the proteins encoded by TP53 and SMAD4 has been extensively adopted in routine pathology practice. However, standardized IHC pattern classification schemes and rigorous validation of their predictive accuracy for underlying genomic alterations remain lacking in PDAC. METHODS: We retrospectively enrolled 63 PDAC patients and systematically characterized the typical IHC expression patterns of p53 and Smad4. Targeted NGS was subsequently performed on all available tumor specimens, and the resulting mutational profiles were correlated with corresponding IHC findings. Diagnostic performance including sensitivity, specificity and accuracy of p53 IHC for predicting TP53 mutations and of Smad4 IHC for predicting SMAD4 mutations was rigorously evaluated. RESULTS: Among the four canonical driver genes, co-occurring double- or triple-gene mutations were prevalent; within TP53 and SMAD4, missense mutations constituted the most frequent variant type. Using NGS as the reference standard, we validated the diagnostic utility of a three-tiered p53 IHC classification system, particularly in fine-needle biopsy (FNB) specimens. Furthermore, we proposed a novel, refined Smad4 IHC pattern classification that incorporates an "intermediate" category, thereby expanding upon conventional binary interpretation. This new scheme achieved markedly improved mutation prediction accuracy (0.76) compared with traditional approaches (0.57). CONCLUSION: Our study highlights the complementary diagnostic value of p53 and Smad4 IHC relative to molecular testing in PDAC, especially when tissue is limited, as commonly encountered in FNB specimens. The newly established Smad4 IHC classification system, which integrates an intermediate expression category into the conventional two-tier framework, demonstrates superior clinical utility and enhances predictive accuracy for SMAD4 genomic alterations.
Humans↗
Observer variation in the interpretation of lower limb venograms.
After agreeing on diagnostic criteria and after a pilot study, two experienced radiologists twice independently reviewed 40 lower limb venograms performed by a standard technique in patients suspected or known to have venous thrombosis. The observers reviewed 20 examinations at a time, their analysis requiring separate identification of 11 major veins. At each site observers stated whether thrombus was "absent," "doubtful," "presumed," or "definite," or declared "no opinion possible." They then rediscussed criteria of diagnosis and, using the same experimental design, examined another 40 venograms. To correct for agreement expected by chance, data were analyzed by using the kappa statistic. In general, levels of agreement were higher than those reported for many other clinical and radiologic investigations, probably because of refinement of criteria after the pilot study. Nonetheless, observers disagreed about the probable presence or absence of thrombus at some site in the limb in about 10% of examinations. Observer variation should be considered when venography is used as a reference standard to evaluate other methods of diagnosing thrombi.
Adult↗