Established Method Research Articles

Predicting Short-Term Intensity Change in Tropical Cyclones Using a Convolutional Neural Network

Abstract This study details a two-method, machine learning approach to predict current and short-term intensity change in global tropical cyclones (TCs), “D-MINT” and “D-PRINT.” D-MINT and D-PRINT use infrared imagery and environmental scalar predictors, while D-MINT also employs microwave imagery. Results show that current TC intensity estimates from D-MINT and D-PRINT are more skillful than three established intensity estimation methods routinely used by operational forecasters for North Atlantic and eastern and western North Pacific TCs. Short-term intensity predictions are validated against five operational deterministic guidances at 6-, 12-, 18-, and 24-h lead times. D-MINT and D-PRINT are less skillful than NHC and consensus TC intensity predictions in North Atlantic and eastern North Pacific TCs, but are more skillful than the other guidances for at least half of the lead times. In western North Pacific, north Indian Ocean, and Southern Hemisphere TCs, D-MINT is more skillful than the JTWC and other individual TC intensity forecasts for over half of the lead times. When probabilistically predicting TC rapid intensification (RI), D-MINT is more skillful in North Atlantic and western North Pacific TCs than three operationally used RI guidances, but less skillful for yes–no RI forecasts. In addition, this work demonstrates the importance of microwave imagery, as D-MINT is more skillful than D-PRINT. Since D-MINT and D-PRINT are convolutional neural network models interrogating two-dimensional structures within TC satellite imagery, this study also demonstrates that those features can yield better short-term predictions than existing scalar statistics of satellite imagery in operational models. Finally, a diagnostics tool is revealed to aid the attribution of the D-MINT/D-PRINT intensity predictions. Significance Statement This study develops a method to predict current and short-term forecasts of tropical cyclone (TC) intensity using artificial intelligence. The resultant models use a convolutional neural network (CNN) that can identify two-dimensional features in satellite imagery that are indicative of TC intensity and future intensity change. The performance results indicate that in several TC basins, the CNN approach is generally more skillful than alternative satellite-based estimates of TC intensity as well as operational short-term forecasts of deterministic intensity change and of similar skill to probabilistic rapid intensification forecasts.

Detection of Aeromonas hydrophila possessing aerolysin gene using gold nanoparticle probe.

The aerolysin (aerA) is a virulence indicator used to identify the pathogenicity of the Aeromonas strain. Targeting a pathogen's crucial virulence gene for detection is essential, as it determines the potential threat to the host. This study aimed to develop a gold nanoparticle (AuNP) probe for detecting the gene aerA in Aeromonas hydrophila among field samples. Kidney samples among both healthy and sick Nile tilapias in five provinces of Luzon Island were collected for bacterial analysis. Screening using specific primers targeting aerA was conducted in parallel with testing the AuNPs probe on the same sample set. The positive control provided by BFAR-NFLD, confirmed by polymerase chain reaction (PCR) assay, was used as a positive sample containing the target gene. The AuNP probe demonstrated a computed accuracy of 81.32%, sensitivity of 100%, and specificity of 81.26%. Among the 257 reactions, 59 were false positives, while no false negative results were observed. The AuNP probe could detect aerA at levels as low as 30 ng/µl. The low prevalence of the target gene may be attributed to the use of general media instead of specific media like Rimler-Shotts agar. The established colorimetric detection method for A. hydrophila with the aerA gene offers a swift alternative to PCR, negating the requirement for advanced equipment like a thermal cycler.

Fibroblast-Epithelium Co-culture Methods Using Epithelial Organoids and Cell Line-Derived Spheroids.

Fibroblasts are an integral cell type of mammary gland stroma, which plays crucial roles in development, homeostasis, and tumorigenesis of mammary epithelium. Fibroblasts produce and remodel extracellular matrix proteins and secrete a plethora of paracrine signals, which instruct both epithelial and other stromal cells of the mammary gland through mechanisms, which have not been fully understood. To enable deciphering of the intricate fibroblast-epithelial interactions, we developed several 3D co-culture methods. In this chapter, we describe methods for establishment of various types of embedded 3D co-cultures of mammary fibroblasts with mammary epithelial organoids, mammary tumor organoids, or breast cancer spheroids to investigate the role of fibroblasts in mammary epithelial development, morphogenesis, and tumorigenesis. The co-culture types include dispersed, aggregated, and transwell cultures.

Rapid determination of 87 prohibited ingredients in cosmetics by ultra performance liquid chromatography-tandem mass spectrometry

The methods of detecting numerous prohibited components are not included in the Technical Specifications for Cosmetic Safety (2015 Edition). Recently, owing to its high speed, sensitivity, and anti-interference properties, ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) became the preferred method of detecting banned substances in cosmetics. In this study, a UPLC-MS/MS method was developed for use in determining 87 prohibited ingredients in cosmetics, including 33 sex hormones, 20 anti-infective drugs, 15 antihistamines, 7 coumarins, 4 sedative-hypnotic drugs, 4 antipyretic and analgesic drugs, 2 allergenic fragrances, and 2 drugs with vasoconstriction effects. The main factors affecting the response, recovery, and sensitivity of the method, such as the type of extraction solvent, extraction time, ratio of the mobile phases, and MS conditions, were optimized during sample pretreatment and instrumental analysis. Accordingly, approximately 0.2 g of the toner or cream sample was dispersed in 2 mL acetonitrile in a 10 mL colorimetric tube. After diluting to 10 mL with 50% acetonitrile aqueous solution, the sample was ultrasonically extracted for 20 min and centrifuged, and the mixture was then filtered through a 0.22 μm membrane. Approximately 0.2 g of the oil sample was dispersed in 2 mL n-hexane in a 15 mL polypropylene centrifuge tube and extracted twice with 3 mL 70% acetonitrile aqueous solution. The extracts were transferred into a 10 mL colorimetric tube and diluted to 10 mL with 50% acetonitrile aqueous solution, and the mixture was then filtered through a 0.22 μm membrane. The samples were separated using a CORTECS C18 column (150 mm×2.1 mm, 2.7 μm), employing a gradient elution program with acetonitrile and 0.1% formic acid aqueous solution as the mobile phases. The flow rate, column temperature, and injection volume were respectively set at 0.3 mL/min, 40 ℃, and 2 μL. The 87 compounds were monitored in multiple reaction monitoring (MRM) mode with electrospray ionization (ESI) under positive and negative conditions. Matrix-matched external standard calibration was used for quantification, and the analysis was completed within 33 min. The prohibited compounds exhibited good linear relationships, with r values of >0.99, and the limits of detection (LODs) and quantification (LOQs) for the 87 compounds were 0.07-0.38 and 0.21-1.15 μg/g, respectively. Three types of cosmetic matrices were selected to verify the recovery and precision of the method at LOQ, 2 LOQ, and 10 LOQ levels. The average recoveries of the 87 prohibited compounds were in the range of 81.7%-115.4%, and the relative standard deviations (RSDs, n=6) were 0.4%-9.9%. The reliability of the developed method was demonstrated by applying it to 349 commercial cosmetics obtained from the market, and 8 positive samples were identified. The positive components included trimethoprim, terbinafine, naphazoline, 7-methoxycoumarin, and 7-methylcoumarin. The established method displays the advantages of simple operation and rapidness and a high sensitivity and good recovery. And, this method provides technical support for rapid risk screening and the revision of national standards for cosmetics.

Measuring and predicting the effect of remyelinating therapy in multiple sclerosis: a randomised controlled trial protocol (RESTORE)

IntroductionRemyelination failure hampers symptomatic recovery in multiple sclerosis (MS), underlining the importance of developing remyelinating therapies. Optic neuritis is currently the most established method of measuring remyelination in MS trials....

Photo-induced C(sp2)-H difluoroalkylation of anilines.

A photoinduced protocol for the direct difluoroalkylation of C(sp2)-H bonds in anilines under catalyst-free reaction conditions is presented. This transformation is characterized by a wide substrate scope, mild reaction conditions, and operational simplicity, and could serve as an alternative tool to established methods for the synthesis of difluoroalkylated anilines. Mechanistic studies suggest the formation of an electron-donor-acceptor (EDA) complex between anilines and difluoroalkyl bromides in this reaction.

Quality Evaluation of Banlangen Granule based on Bioassays of Anti-influenzal and Anti-inflammatory Effects

Objective:: In order to control the quality better, this study aimed to develop two bioassay methods of Banlangen Granule (BLGG) based on its anti-influenza activity and antiinflammatory activity and to verify the necessity of established methods by relating the results tested by chemical methods. Methods: First, the bioassay methods for determining the biopotency of the anti-influenza effect and anti-inflammatory activity were established and applied, taking neuraminidase and cyclooxygenase- 2 as disease targets, respectively. Secondly, the ultra-high-performance liquid chromatography coupled photo-diode array detector (UPLC-PDA) technique was used to perform fingerprints and quantify chemical compounds. Finally, the correlation analysis was performed on the results of bioassay methods and chemical methods to assist in choosing the effective quality markers for the BLGG. Results:: Two accurate, stable, and repeatable bioassay methods were developed and applied to the determination of 57 batches of samples. The chemical fingerprints and contents of seven quality compounds were obtained based on UPLC-PDA methods. From the results of correlation analysis, the highest intensity correlation between these quality markers was medium with a r=0.495 (P<0.01), which indicates the need for establishing a bioassay method for BLGG. Conclusion:: This present work illuminated that bioassay methods can be a great means to evaluate the quality of BLGG effectively and also provided a paradigm case for the quality control of other traditional Chinese medicine preparations.

Effect of micro irrigation and crop establishment methods on growth, physiological parameters, quality, and production of bajra napier hybrid grass CO (BN) 5 (Pennisetum glaucum L. × Pennisetum purpureum schumach)

Effect of micro irrigation and crop establishment methods on growth, physiological parameters, quality, and production of bajra napier hybrid grass CO (BN) 5 (Pennisetum glaucum L. × Pennisetum purpureum schumach)

S‐parameter extraction for electromagnetic modelling of memristor‐based crossbar array circuits

AbstractThis article presents an efficient S‐parameter extraction method for memristor‐based crossbar array circuits. The proposed approach involves converting the array into an equivalent circuit and analytically solving the circuit to obtain the S‐parameters. Memristor‐based crossbar array circuit simulations and corresponding experimental measurements are conducted to verify the high accuracy and low computation complexity of the established method. These numerical results indicate that the authors’ S‐parameter extraction method has the potential for evaluating signal integrity performance in neuromorphic chips, thus aiding their design and optimization for diverse applications.

Complications and Outcome of Bone Sarcoma Patients with Limb Salvage using Liquid Nitrogen-treated Bone for Reconstruction.

The recommended treatment method for bone sarcoma is wide local excision and reconstruction to preserve limb function. Established methods of reconstruction are mega prosthesis or biological reconstruction. This study aimed to determine the complications and functional outcomes associated with limb salvage surgery using liquid nitrogen-treated bone. We retrospectively observed the short-term outcome of limb salvage surgeries where liquid nitrogen bone was used for reconstruction. A total of 15 patients underwent reconstruction with liquid nitrogen auto graft from January 2018 to December 2020. We used the free freezing method of liquid nitrogen treatment after wide local excision of sarcoma. We observed short-term outcomes after liquid nitrogen-treated bone reconstruction in limb salvage surgery. Survival of the auto grafts was recorded using the Kaplan-Meier method with a 95% confidence interval. The mean follow-up was 19.83 ± 4.5 months. The mean musculoskeletal tumor society score was 62.4 ± 7.9%, while the average Toronto extremity score was 59.6 ± 5.7%. Three patients died during the study duration due to visceral metastasis. Skin necrosis and wound breakdown were major complications in 9 (60%) patients. Deep infection was observed in 4 (26.7%). Similarly, 4 (26.7%) patients had non-union at either the proximal or distal osteotomy site, while the average time of bone union in the rest of the patients was 6.3 ± 1.7 months. A total of 6 (40%) patients underwent reoperation after liquid nitrogen treatment, either due to infection or non-union at the osteotomy site. Recurrence was observed in 3 (20%) of patients. We observed a high complication rate with liquid nitrogen-treated autograft reconstruction. Vascularized fibula with liquid nitrogen-treated autograft or endoprosthesis should be encouraged.

Optimal drive cycle current supply of a wound field automotive electrical machine using surrogate models

Surrogate models have become a widely used solution for reducing computation times along design processes. In this work, a Gaussian Process surrogate model is built and used to predict the performance and losses of a wound field electrical machine in a fast manner. This approach is relevant, especially for drive cycle calculations that rapidly generate rising computation costs if they are computed using physical models, especially finite elements analysis. We present in detail the established method and a comparison of the obtained results with finite elements results. In addition, a detailed analysis of the optimized current supply is presented, and the advantages of variable excitation current are highlighted.

Oral swabs with a rapid molecular diagnostic test for pulmonary tuberculosis in adults and children: a systematic review

Tuberculosis is a leading cause of infectious disease mortality worldwide, but diagnosis of pulmonary tuberculosis remains challenging. Oral swabs are a promising non-sputum alternative sample type for the diagnosis of pulmonary tuberculosis. We aimed to assess the diagnostic accuracy of oral swabs to detect pulmonary tuberculosis in adults and children and suggest research implications. In this systematic review, we searched published and preprint studies from Jan 1, 2000, to July 5, 2022, from eight databases (MEDLINE, Embase, Scopus, Science Citation Index, medRxiv, bioRxiv, Global Index Medicus, and Google Scholar). We included diagnostic accuracy studies including cross-sectional, cohort, and case-control studies in adults and children from which we could extract or derive sensitivity and specificity of oral swabs as a sample type for the diagnosis of pulmonary tuberculosis against a sputum microbiological (nucleic acid amplification test [NAAT] on sputum or culture) or composite reference standard. Of 550 reports identified by the search, we included 16 eligible reports (including 20 studies and 3083 participants) that reported diagnostic accuracy estimates on oral swabs for pulmonary tuberculosis. Sensitivity on oral swabs ranged from 36% (95% CI 26-48) to 91% (80-98) in adults and 5% (1-14) to 42% (23-63) in children. Across all studies, specificity ranged from 66% (95% CI 52-78) to 100% (97-100), with most studies reporting specificity of more than 90%. Meta-analysis was not performed because of sampling and testing heterogeneity. Sensitivity varies in both adults and children when diverse methods are used. Variability in sampling location, swab type, and type of NAAT used in accuracy studies limits comparison. Although data are suggestive that high accuracy is achievable using oral swabs with molecular testing, more research is needed to define optimal methods for using oral swabs as a specimen for tuberculosis detection. The current data suggest that tongue swabs and swab types that collect increased biomass might have increased sensitivity. We would recommend that future studies use these established methods to continue to refine sample processing to maximise sensitivity. Bill and Melinda Gates foundation (INV-045721) and FIND (Netherlands Enterprise Agency on behalf of the Minister for Foreign Trade and Development Cooperation [NL-GRNT05] and KfW Development Bank, German Federal Ministry of Education and Research [KFW-TBBU01/02]).

From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis

AbstractGene set analysis (GSA), a popular approach for analyzing high‐throughput gene expression data, aims to identify sets of related genes that show significantly enriched or depleted expression patterns between different conditions. In the last years, a multitude of methods have been developed for this task. However, clear guidance is lacking: choosing the right method is the first hurdle a researcher is confronted with. No less challenging than overcoming this so‐called method uncertainty is the procedure of preprocessing, from knowing which steps are required to selecting a corresponding approach from the plethora of valid options to create the accepted input object (data preprocessing uncertainty), with clear guidance again being scarce. Here, we provide a practical guide through all steps required to conduct GSA, beginning with a concise overview of a selection of established methods, including Gene Set Enrichment Analysis and Database for Annotation, Visualization, and Integrated Discovery (DAVID). We thereby lay a special focus on reviewing and explaining the necessary preprocessing steps for each method under consideration (e.g., the necessity of a transformation of the RNA sequencing data)—an essential aspect that is typically paid only limited attention to in both existing reviews and applications. To raise awareness of the spectrum of uncertainties, our review is accompanied by an extensive overview of the literature on valid approaches for each step and illustrative R code demonstrating the complex analysis pipelines. It ends with a discussion and recommendations to both users and developers to ensure that the results of GSA are, despite the above‐mentioned uncertainties, replicable and transparent.This article is categorized under: Statistical and Graphical Methods of Data Analysis > Analysis of High Dimensional Data Data: Types and Structure > Data Preparation and Processing Applications of Computational Statistics > Genomics/Proteomics/Genetics

Relationships Between Vocal Fold Adduction Patterns, Vocal Acoustic Quality, and Vocal Effort in Individuals With and Without Hyperfunctional Voice Disorders

Increased vocal effort and aberrant vocal quality are often attributed to vocal fold hyperadduction in hyperfunctional voice disorders. However, there are currently no established methods to quantify vocal fold adduction beyond subjective descriptors in this clinical population. Furthermore, relationships between vocal fold adduction patterns, vocal effort severity, and vocal quality are not well characterized. Therefore, the objectives of this study were to (1) quantify vocal fold adduction, applying a previously validated method developed for patients with vocal fold paralysis, and (2) correlate these measures with acoustic vocal quality and self-perceived measures of vocal effort severity. A deep learning program, Automated Glottic Action Tracking using artificial Intelligence, was used to track glottic angle configurations and vocal fold adduction velocities on laryngoscopic videos across 60 laryngoscopies (20 primary muscle tension dysphonia [pMTD], 20 phonotraumatic lesions, and 20 healthy controls). Voice samples were also acquired, and cepstral peak prominence (CPP) and H1-H2 acoustic measures were used to quantify vocal quality. Participants were also asked to rate their vocal effort on a 100mm visual analog scale. There were no significant group differences in glottic angle configurations or vocal fold adduction velocities, although there were trends toward increased peak vocal fold adduction velocities in patients with hyperfunctional voice disorders compared to controls. Vocal effort was significantly higher in the two hyperfunctional groups compared to controls. CPP was significantly lower in the pMTD group, but there were no group differences in acoustic parameters between any of the other groups or for H1-H2 values. Despite significantly more vocal effort reported in patients with hyperfunctional voice disorders, there were no significant group differences in vocal fold adduction patterns. These findings suggest other physiologic mechanisms may also be responsible for the symptoms and genesis of pMTD and benign vocal fold lesions.

Methods for Quantitative Disassembly and Code Establishment of CBS in BIM for Program and Payment Management

Methods for Quantitative Disassembly and Code Establishment of CBS in BIM for Program and Payment Management

Own experience in catheter angiography and interventional treatment of patients with probable vertebrobasilar insufficiency

The vertebrabasilar (VB) system plays an essential role in the circulation of main structures of nervous system. About 25% of ischemic brain strokes are located in the vertebrobasilar circulation. 20-25% of them are due to atherosclerosis, leading to formation of hemodynamically significant stenoses in both vertebral arteries. Catheter angiography proves and visualise with great accuracy vascular pathology along the course of the extracranial segments of cerebral arteries. Interventional treatment in patients with significant vertebral artery stenoses is an established and safe method of treatment, complementing optimal drug therapy, and preceding surgical treatment.

Anion Exchange Membrane Functionalized by Phenol-formaldehyde Resins: Ion Exchange Capacity, Electrical Properties, Chemical Stability, Permeability, and All-iron Flow Battery

An anion exchange membrane (AEM) is a type of selectively permeable membrane that facilitates the movement of negatively charged ions while impeding the passage of positively charged ions. These membranes are designed to selectively transport anions across them based on their charge and size. They are commonly used in various electrochemical devices and processes, such as fuel cells, electrodialysis, electrolysis, water treatment, and other applications requiring ion exchange. These membranes are typically made from synthetic polymer materials with positively charged functional groups that attract and transport anions while repelling cations. They are used for selection, conduction, and stabilizing the ion anion exchange phenomena. We recently released a study on the creation of a quick and easy approach to creating an AEM with increased ionic conduction capacity and good alkaline stability. The technique's simplicity makes it a desirable substitute for conventional methods. By using this approach, the carcinogenic reagent often employed for AEM preparation—chloromethyl methyl ether—is avoided. Membrane surfaces appeared to be rather homogeneous in Scanning Electron Microscope (SEM) pictures. Water content, ion exchange capacity, and electrical conductivity all improved as the amount of ion-exchange material in the casting fluid increased. The Thermogravimetric Analysis (TGA) of the membranes revealed thermal stability up to 150°C which shows that these membranes are ideal for applications in that temperature range. The composite membranes exhibited enhanced chemical stability in strong chemical environments and this can be attributed to the resonance stabilized guanidine group as negative ion-exchange site. By considering the AC impedance data, the conductivity measurements showed a marked enhancement in conductivity by increasing the content of ion-exchange material. Galvanostatic charged discharge tests were used to examine the electrochemical performance of an all-iron redox flow cell, and the system demonstrated a columbic efficiency of 80% during the repeated charge-discharge cycles. The findings of this work provide a compelling alternative to the established methods for the synthesis of AEMs.

Development and Validation of Dissolution Test Method for Herbal Medicine Containing Ginsenosides

Background and objective: This study aimed to develop a dissolution test method for quality control of commercial 40% ethanol extract of ginseng-containing dosage forms.Methods: Through preliminary dissolution testing of the commercial dosage forms, suitable parameters for HPLC (high performance liquid chromatography) analysis were determined, including an injection volume of 50 μL and a dissolution time of 1 hour. Additionally, the stability testing of the solution enabled the selection of an appropriate dissolution medium, pH 4.0 buffer solution. Method validation was carried out using reference standard of eight ginsenosides (Rg1, Re, Rf, Rg2, Rb1, RC, Rb2, Rd), indicative components of ginseng, under the selected testing conditions. The evaluation of method validation encompassed specificity, accuracy, precision, and linearity as assessment criteria.Results: The accuracy assessment revealed that the average recovery rates within a 95% confidence interval were appropriate for all ginsenosides, ranging from 98.25% to 101.17%. The precision evaluation, conducted at an intermediate concentration of 8 μg/mL (n = 6), demonstrated relative standard deviations of 0.25% to 1.08%, which met the criterion of being below 2%. The linearity assessment showed that the coefficient of determination (R²) values for all ginsenosides exceeded 0.999, indicating excellent linearity. The quantification limits ranged from 0.32 to 1.09 μg/mL, confirming their suitability for dissolution assessment of the respective formulation. Employing the selected dissolution test method, the dissolution profiles of most ginsenosides in the commercially available ginseng-containing dosage forms reached their maximum values within 60 minutes. No significant differences were observed in results beyond 120 minutes, confirming that a dissolution time of 60 minutes is appropriate for this dosage form.Conclusion: The established method holds promise as a valuable tool for quality control of pharmaceuticals containing ginseng, including those previously unassessed, contributing to future applications in the pharmaceutical industry.

Energy and water budget of rice under different establishment methods

A field study aimed to investigate the influence of different rice establishment methods on energy and water budget of rice was conducted during kharif season of 2022. The experiment was carried out using a randomized block design with three replications. Seven treatments were examined, including three transplanting methods viz., SRI, mechanical transplanting and conventional transplanting, and four direct seeded rice (DSR) methods viz., wet DSR (drum seeding), wet DSR (broadcasting), dry converted wet rice (broadcasting) and dry converted wet rice (line sowing). Results revealed that chemical fertilizers, irrigation water, land preparation and seeding or transplanting operations constituted ~80% of the input energy in all rice establishment methods. Among the rice establishment methods, conventional transplanting exhibited the highest input energy of 21723.9 MJ ha-1, while dry converted wet rice (line sowing) recorded the lower input energy of 18394.3 MJ ha-1. In terms of output energy, wet DSR (drum seeding) recorded the highest value of 141781.1 MJ ha-1, whereas dry converted wet rice (broadcasting) registered the lowest value of 77223.2 MJ ha-1. The output energy of wet DSR (drum seeding) was comparable to that of SRI and dry converted wet rice (line sowing). Similarly, dry converted wet rice (line sowing) exhibited higher irrigation water productivity (0.73 kg m-3) and total water productivity (0.30 kg m-3) with a reduced water requirement of 630 mm. Compared to conventional transplanting, input energy consumption and irrigation water requirement was lower by 18.1% and 51.9% in dry converted wet rice (line sowing), 17.4% and 51.9% in dry converted wet rice (broadcasting), 16.9%, 36.7% in SRI and 9.13%, 27.6% in wet DSR (drum seeding) respectively. Thus, the adoption of wet DSR (drum seeding), SRI and dry converted wet rice (line sowing) is recommended for energy and water efficient rice production in Telangana.

Central Vein Sign in Multiple Sclerosis: A Comparison Study of the Diagnostic Performance of 3T versus 7T MRI.

An early and accurate diagnosis of multiple sclerosis remains challenging in clinical neurology. Established diagnostic methods have less than desirable sensitivity and specificity. An accurate, noninvasive diagnostic test for MS could have a major impact on diagnostic criteria. We compared the frequency of detection of the central vein sign (CVS) in white matter lesions of MS and controls on 7T T2*-weighted and SWI to 3T SWI. Additionally, we assessed the diagnostic performance of 7T T2*, 7T SWI, and 3T SWI for MS. A retrospective case-control study was performed of patients with MS having both 7T MRI and 3T MRI. A control group of patients without MS was selected. Diagnosis of MS was established by board-certified neurologists with fellowship training in autoimmune neurology in line with the 2017 McDonald criteria. Percentage of lesions with a CVS was blindly measured for each technique. Diagnostic performance was computed by sensitivity, specificity, and positive and negative likelihood ratios (LRs). Sixty-one patients with MS (903 lesions) and 39 controls (1088 lesions) were included. 7T T2* showed significantly more CVS (87%) than both 7T SWI (73%) and 3T SWI (31%) (all P < .001). CVS was identified in the control group in ≤6% of lesions on all sequences. Using a threshold of >40% of lesions with CVS on 7T T2* and >15% on 7T SWI, both sequences had an accuracy = 100%, sensitivity = 100%, specificity = 100%, infinite positive LR, and zero negative LR. Using an optimal threshold of >12%, 3T SWI had an accuracy = 96.0%, sensitivity = 93.4%, specificity = 100%, infinite positive LR, and negative LR = 0.066. 7T MRI had 100% sensitivity and specificity for the diagnosis of MS and is superior to 3T. Future revisions to MS diagnostic criteria may consider recommendations for 7T MRI and inclusion of CVS as a biomarker.