High Diagnostic Accuracy Research Articles

Granulocytes in cerebrospinal fluid of adults suspected of a central nervous system infection: a prospective study of diagnostic accuracy.

Cerebrospinal fluid (CSF) granulocytes are associated with bacterial meningitis, but information on its diagnostic value is limited and primarily based on retrospective studies. Therefore, we assessed the diagnostic accuracy of CSF granulocytes. We analyzed CSF granulocytes (index test) from all consecutive patients in two prospective cohort studies in the Netherlands. Both studies included patients ≥ 16years, suspected of a central nervous system (CNS) infection, who underwent a diagnostic lumbar puncture. All episodes with elevated CSF leukocytes (≥ 5 cells per mm3) were selected and categorized by clinical diagnosis (reference standard). Of 1261 episodes, 625 (50%) had elevated CSF leukocytes and 541 (87%) were included. 117 of 541 (22%) were diagnosed with bacterial meningitis, 144 (27%) with viral meningoencephalitis, 49 (9%) with other CNS infections, 76 (14%) with CNS autoimmune disorders, 93 (17%) with other neurological diseases and 62 (11%) with systemic diseases. The area under the curve to discriminate bacterial meningitis from other diagnoses was 0.97 (95% confidence interval [CI] 0.95-0.98) for CSF granulocyte count and 0.93 (95% CI 0.91-0.96) for CSF granulocyte percentage. CSF granulocyte predominance occurred in all diagnostic categories. A cutoff at 50% CSF granulocytes gave a sensitivity of 94% (95% CI 90-98), specificity of 80% (95% CI 76-84), negative predictive value of 98% (95% CI 97-99) and positive predictive value of 57% (95% CI 52-62). CSF granulocytes have a high diagnostic accuracy for bacterial meningitis in patients suspected of a CNS infection. CSF granulocyte predominance occurred in all diagnostic categories, limiting its value in clinical practice.

Comparing accuracy of clinical prediction rules to predict pneumonia in children and adolescents with acute febrile respiratory illness

AbstractBackgroundIt is a common challenge for emergency physicians to differentiate pneumonia from simple upper respiratory tract infections. Several clinical prediction rules exist to assist the diagnosis process and guide the clinical decisions of ordering investigations such as chest X‐ray (CXR).ObjectiveThis study aims to validate and compare the accuracy of various prediction rules in the setting of children and adolescents presenting with acute febrile respiratory illness (AFRI).MethodThis was a prospective multicentre study. Three hundred and fifty‐five patients, aged 6–18 years, were recruited. Patients with immunocompromised state or hypoxia were excluded. Pneumonia was defined as diagnosis by CXR or subsequent diagnosis of pneumonia upon re‐attendance within 7 days. Clinical rules including Diehr rule, Heckerling rule, Bilkis simpler rule, the AFRI rule, the paediatric acute febrile respiratory illness rule (PAFRI) were compared in terms of accuracy of predicting pneumonia in the recruited subjects and presented as receiver operating characteristic curves.ResultsFive patients were excluded. In the 350 patients included, 38 were diagnosed as pneumonia by CXR and 1 was subsequently diagnosed as pneumonia upon re‐attendance. The area under the receiver operating characteristic curve of Diehr rule, Heckerling rule, Bilkis simpler rule, AFRI rule and PAFRI rule were 0.703, 0.565, 0.59, 0.807 and 0.846 respectively. The PAFRI rule is superior to other prediction rules in terms of diagnostic accuracy. At the cut‐off of PAFRI ≥0, the rule has high sensitivity of 97.44% and negative predictive value of 99.09%.ConclusionAmong the rules compared, the PAFRI rule has the highest diagnostic accuracy in assisting emergency physicians to identify pneumonia among children and adolescents aged 6–18 years presenting with AFRI.

Qualitative and quantitative spermatic cord abnormalities at CT predict symptomatic scrotal pathology

PurposeTo evaluate quantitative and qualitative spermatic cord CT abnormalities and presence of unilateral or bilateral symptomatic scrotal pathology (SSP) at ultrasound.MethodsThis retrospective study included 122 male patients (mean age 47.8 years) undergoing scrotal ultrasound within 24 h of contrast-enhanced CT (n = 85), non-contrast CT (NECT, n = 32) or CT-Urogram (n = 5). CECT quantitative analysis assessed differential cord enhancement using maximum Hounsfield unit measurements. Three fellowship trained body radiologists independently assessed qualitative cord abnormalities for both CECT and NECT. Qualitative and quantitative findings were compared with the presence of SSP. Reader performance, interobserver agreement and reader confidence were assessed for NECT and CECT. Quantitative cutoff points were identified which maximized accuracy, specificity, negative predictive value, and other measures.ResultsSSP was present in 36/122 patients (29.5%). Positive cases were unilateral in 30 (83.3%) and bilateral in 6 (16.6%). At quantitative assessment, 25% differential cord enhancement had the highest diagnostic accuracy (88.9%), with 90.5% positive predictive value, 88.4% negative predictive value, 96.8% specificity, and 70.4% sensitivity. At qualitative evaluation, CECT reader performance was excellent (aggregate AUC = 0.86; P < .001); NECT was poorly discriminatory, although remained significant (aggregate AUC = 0.67; P = .002). Readers had significantly higher confidence levels with CECT (P < .001). Qualitative inter-observer agreement was high for both CECT and NECT (ICC = 0.981 and 0.963, respectively).ConclusionSimple quantitative assessment of differential cord enhancement is highly accurate and specific for SSP at CECT. Qualitative abnormalities at CECT and NECT are also both predictors of SSP, however, CECT significantly out-performs non-contrast exams.Graphical abstract

A prospective multicenter assessor blinded pilot study using confocal laser endomicroscopy for intraoperative brain tumor diagnosis

In this multi-center, assessor-blinded pilot study, the diagnostic efficacy of cCeLL-Ex vivo, a second-generation confocal laser endomicroscopy (CLE), was compared against the gold standard frozen section analysis for intraoperative brain tumor diagnosis. The study was conducted across three tertiary medical institutions in the Republic of Korea. Biopsy samples from newly diagnosed brain tumor patients were categorized based on location and divided for permanent section analysis, frozen section analysis, and cCeLL-Ex vivo imaging. Of the 74 samples from 55 patients, the majority were from the tumor core (74.3%). cCeLL-Ex vivo exhibited a relatively higher diagnostic accuracy (89.2%) than frozen section analysis (86.5%), with both methods showing a sensitivity of 92.2%. cCeLL-Ex vivo also demonstrated higher specificity (70% vs. 50%), positive predictive value (PPV) (95.2% vs. 92.2%), and negative predictive value (NPV) (58.3% vs. 50%). Furthermore, the time from sample preparation to diagnosis was notably shorter with cCeLL-Ex vivo (13 min 17 s) compared to frozen section analysis (28 min 28 s) (p-value < 0.005). These findings underscore cCeLL-Ex vivo's potential as a supplementary tool for intraoperative brain tumor diagnosis, with future studies anticipated to further validate its clinical utility.

Can dermatologists reach their full potential in teledermatology? A validation study of diagnostic performanceof skin diseases in live video conferencingteledermatology.

The diagnostic accuracy rate of live videoconferencing (LVC) teledermatology, by board-certified dermatologists compared to non-dermatologists has not yet been fully investigated. The aim of this study was to compare the diagnostic accuracy of board-certified dermatologists, dermatology specialty trainees, and board-certified internists in LVC teledermatology. We examined the diagnostic accuracy of clinicians from different specialties in diagnosing the same group of patients. The clinicians were isolated from each other during the diagnosis process. We enrolled 18 volunteer physicians (six board-certified dermatologists, six dermatology specialty trainees, and six board-certified internists) who reviewed the skin conditions of 18 patients via LVC teledermatology. The diagnostic accuracy of the participating physicians was evaluated using the final diagnosis as the reference standard. The diagnostic accuracy averages were compared according to the physicians' specialties and disease categories. The mean ± standard deviation diagnostic accuracy of the most detailed level diagnosis was 83.3% ± 3.5% (range, 77.8%-89.0%) for board-certified dermatologists, 53.7 ± 20.7% (range 27.8%-77.8%) for dermatology specialty trainees, and 27.8 ± 5.0% (range, 22.2%-33.3%) for board-certified internists. Board-certified dermatologists showed significantly higher diagnostic accuracy, not only against board-certified internists (p < 0.0001) but also against dermatology specialty trainees (p < 0.05). Disease categories with high accuracy rates (≥80%) only by board-certified dermatologists were inflammatory papulosquamous dermatoses (87.5%), compared to 58.3%, and 20.8% for dermatology specialty trainees and board-certified internists respectively). For inflammatory erythemas and other reactive inflammatory dermatoses the accuracy rates for board-certified dermatologists, dermatology specialty trainees, and board-certified internists were 83.3%, 33.3%, 8.3% respectively; for melanoma insitu neoplasms, 83.3%, 50.0%, 66.7% respectively), and for genetic disorders of keratinization 83.3%, 33.3%, and 0% respectively). Our findings showed that board-certified dermatologists may have high diagnostic accuracy with practical safety and effectiveness in LVC teledermatology.

Investigation of imaging features in contrast-enhanced magnetic resonance imaging of benign and malignant breast lesions

PurposeThis study aimed to enhance the diagnostic accuracy of contrast-enhanced breast magnetic resonance imaging (MRI) using gadobutrol for differentiating benign breast lesions from malignant ones. Moreover, this study sought to address the limitations of current imaging techniques and criteria based on the Breast Imaging Reporting and Data System (BI-RADS).Materials and MethodsIn a multicenter retrospective study conducted in Japan, 200 women were included, comprising 100 with benign lesions and 100 with malignant lesions, all classified under BI-RADS categories 3 and 4. The MRI protocol included 3D fast gradient echo T1- weighted images with fat suppression, with gadobutrol as the contrast agent. The analysis involved evaluating patient and lesion characteristics, including age, size, location, fibroglandular tissue, background parenchymal enhancement (BPE), signal intensity, and the findings of mass and non-mass enhancement. In this study, univariate and multivariate logistic regression analyses were performed, along with decision tree analysis, to identify significant predictors for the classification of lesions.ResultsDifferences in lesion characteristics were identified, which may influence malignancy risk. The multivariate logistic regression model revealed age, lesion location, shape, and signal intensity as significant predictors of malignancy. Decision tree analysis identified additional diagnostic factors, including lesion margin and BPE level. The decision tree models demonstrated high diagnostic accuracy, with the logistic regression model showing an area under the curve of 0.925 for masses and 0.829 for non-mass enhancements.ConclusionThis study underscores the importance of integrating patient age, lesion location, and BPE level into the BI-RADS criteria to improve the differentiation between benign and malignant breast lesions. This approach could minimize unnecessary biopsies and enhance clinical decision-making in breast cancer diagnostics, highlighting the effectiveness of gadobutrol in breast MRI evaluations.

Expect the unexpected: investigating discordant prostate MRI and biopsy results

ObjectivesTo evaluate discrepant radio-pathological outcomes in biopsy-naïve patients undergoing prostate MRI and to provide insights into the underlying causes.Materials and methodsA retrospective analysis was conducted on 2780 biopsy-naïve patients undergoing prostate MRI at a tertiary referral centre between October 2015 and June 2022. Exclusion criteria were biopsy not performed, indeterminate MRI findings (PI-RADS 3), and clinically insignificant PCa (Gleason score 3 + 3). Patients with discrepant findings between MRI and biopsy results were categorised into two groups: MRI-negative/Biopsy-positive and MRI-positive/Biopsy-negative (biopsy-positive defined as Gleason score ≥ 3 + 4). An expert uroradiologist reviewed discrepant cases, retrospectively re-assigning PI-RADS scores, identifying any missed MRI targets, and evaluating the quality of MRI scans. Potential explanations for discrepancies included MRI overcalls (including known pitfalls), benign pathology findings, and biopsy targeting errors.ResultsPatients who did not undergo biopsy (n = 1258) or who had indeterminate MRI findings (n = 204), as well as those with clinically insignificant PCa (n = 216), were excluded, with a total of 1102 patients analysed. Of these, 32/1,102 (3%) were classified as MRI-negative/biopsy-positive and 117/1102 (11%) as MRI-positive/biopsy-negative. In the MRI-negative/Biopsy-positive group, 44% of studies were considered non-diagnostic quality. Upon retrospective image review, target lesions were identified in 28% of cases. In the MRI-positive/Biopsy-negative group, 42% of cases were considered to be MRI overcalls, and 32% had an explanatory benign pathological finding, with biopsy targeting errors accounting for 11% of cases.ConclusionProstate MRI demonstrated a high diagnostic accuracy, with low occurrences of discrepant findings as defined. Common reasons for MRI-positive/Biopsy-negative cases included explanatory benign findings and MRI overcalls.Clinical relevance statementThis study highlights the importance of optimal prostate MRI image quality and expertise in reducing diagnostic errors, improving patient outcomes, and guiding appropriate management decisions in the prostate cancer diagnostic pathway.Key Points• Discrepancies between prostate MRI and biopsy results can occur, with higher numbers of MRI-positive/biopsy-negative relative to MRI-negative/biopsy-positive cases.• MRI-positive/biopsy-negative cases were mostly overcalls or explainable by benign biopsy findings.• In about one-third of MRI-negative/biopsy-positive cases, a target lesion was retrospectively identified.

Plasma microRNA-320c as a Potential Biomarker for the Severity of Knee Osteoarthritis and Regulates cAMP Responsive Element Binding Protein 5 (CREB5) in Chondrocytes.

Osteoarthritis (OA) is a commonly known prevalent joint disease, with limited therapeutic methods. This study aimed to investigate the expression of plasma microRNA-320c (miR-320c) in patients with knee OA and to explore the clinical value and potential mechanism of miR-320c in knee OA. Forty knee OA patients and 20 healthy controls were enrolled. The levels of plasma miR-320c and plasma inflammatory cytokines were measured by real-time PCR or ELISA. Correlations of Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores and cytokine levels with the miR-320c expression level were evaluated by Pearson correlation analysis. Then, a receiver operating characteristic (ROC) curve was drawn to analyse the diagnostic value of miR-320c in OA. Finally, the interaction of miR-320c and cAMP responsive element binding protein 5 (CREB5) was determined using a luciferase reporter assay, and the effect of CREB5 on the cAMP pathway was assessed. The expression level of plasma miR-320c was significantly higher in OA patients than in healthy controls (p < 0.05). The increased plasma miR-320c level was positively correlated with the WOMAC score (r = 0.796, p < 0.001) and the plasma interleukin (IL)-1β (r = 0.814, p < 0.001) and IL-6 (r = 0.695, p < 0.001) levels in patients with OA. ROC curve analysis demonstrated the relatively high diagnostic accuracy of plasma miR-320c for OA. Furthermore, the luciferase reporter assay results showed that miR-320c regulates CREB5 expression by binding to the CREB5 3'-untranslated region. Moreover, suppression of CREB5 significantly reduced the expression levels of c-fos and c-jun. Our results indicate that plasma miR-320c may serve as a potential novel predictor of the severity of knee OA and that miR-320c may play an important role in the pathogenesis of OA through inhibiting the cAMP pathway by targeting CREB5.

Diagnosis of artificial hypoglycemia due to oral hypoglycemic drugs by high-performance liquid chromatography with tandem mass spectrometric detection

BACKGROUND: Artificial hypoglycemia (ArH) is a decrease of blood glucose levels less than 3 mmol/l due to the deliberate use of hypoglycemic drugs by a patient outside of medical appointments. Timely diagnosis of this kind of hypoglycemia avoids unnecessary numerous examinations and hospitalizations. However, the detection of ArH still remains an extremely difficult task for both the healthcare facility and the attending physician. The foreign literature describes cases of successful detection of deliberate intake of oral hypoglycemic drugs (OHD) using high-performance liquid chromatography with tandem mass spectrometric detection (HPLC-MS/MS). Thus, it is relevant to develop and validate a method for determining OHD using HPLC-MS/MS.AIM: To optimize the diagnosis of ArH due to the use of OHD.MATERIALS AND METHODS: A total of 92 patients were examined. The development of the HPLC-MS/MS method for the detection of the studied OHD (sOHD; n=1-glibenclamide, n=1-gliquidone, n=1-gliclazide, n=1-glimepiride, n=1-glipizide, n=1-nateglinide and n=1-repaglinide) in the blood was carried out in a group of patients with diabetes mellitus type 2 (n=7) who received sOHD, and a group of conditionally healthy people who did not receive any medications (n= 7). To validate the method, the determination of sOHD substances was carried out on groups of patients with hyperinsulinemic nondiabetic hypoglycemia (NDH) of unknown origin (n=11) and with insulinoma (n=67).RESULTS: In the study of blood samples by HPLC-MS/MS in the group of patients with diabetes mellitus type 2, was confirmed in 100% of the cases the use of the drug that the patient received, in the group of conditionally healthy — sOHD were not detected. A false positive result was not obtained in any conditionally healthy and in any patient with insulinoma. ArH was diagnosed in 5 out of 11 patients in the group with hyperinsulinemic NDH of unknown origin, the method identified sOHD glibenclamide and gliclazide in the patients’ blood samples. In the remaining 6 patients of this group, examinations were continued and other causes of NDH were diagnosed. The sensitivity of the method was 100% [74%; 100%], specificity — 100% [95%; 100%].CONCLUSION: The HPLC-MS/MS method has high diagnostic accuracy in the detection and identification of sOHD (glibenclamide, gliquidone, gliclazide, glimepiride, glipizide, nateglinide and repaglinide) in blood samples of patients receiving these drugs. Currently, due to the low availability of the method, this study is advisable to use in patients with hyperinsulinemic hypoglycemia with negative results of first-line insulinoma imaging methods (computed tomography with contrast enhancement, ultrasound and magnetic resonance imaging of the abdominal cavity).

Hierarchical FFT-LSTM-GCN based model for nuclear power plant fault diagnosis considering spatio-temporal features fusion

As safety-critical infrastructure, nuclear power plants (NPPs) require enhanced safety measures and risk minimization. To achieve this goal and to aid operator decision-making while reducing human error, various fault diagnosis (FD) methods have been proposed. Among these, deep learning-based approaches have demonstrated significant success in FD because of their ability to effectively extract information about machine degradation. However, most existing methods primarily focus on temporal features while neglecting spatial features. To leverage both temporal and spatial features effectively and achieve high diagnostic accuracy, we propose a hierarchical deep learning based model that comprises the fast Fourier transform (FFT), long short-term memory networks (LSTM) and graph convolutional networks (GCN). The application of FFT to sensor sequences effectively mitigates their volatility. The use of GCN enables automated extraction of intricate spatial features from multi-sensor data, while LSTM is adept at directly extracting temporal features from historical input data. To validate the proposed model, we conducted three experiments using data simulated by the personal computer transient analyzer (PCTRAN), and the results demonstrate that the diagnostic accuracy of the proposed hierarchical FFT-LSTM-GCN model surpasses that of any single model for NPP FD.

Feasibility and clinical value of linear endoscopic ultrasonography imaging in the lower gastrointestinal subepithelial lesions.

Linear endoscopic ultrasonography (EUS) has been extensively utilized as a novel diagnostic and therapeutic modality across various fields. However, there have been relatively few studies focusing on lower gastrointestinal lesions. The aim of our study was to investigate the feasibility, safety and clinical value of linear EUS in the lower gastrointestinal subepithelial lesions. This was a retrospective study involving patients with lower gastrointestinal subepithelial lesions diagnosed by linear EUS from August 2019 to April 2023 at the Second Affiliated Hospital of Anhui Medical University. The data, including basic clinical information, linear EUS features, technical success rate, complications, and follow-up, were retrospectively collected and analyzed. A total of 69 patients with lower gastrointestinal subepithelial lesions underwent examination by linear EUS. Excluding the rectum, the technical success rate of linear EUS was 90.6% (29/32). Apart from the 7 patients whose diagnosis remained unknown, 3 patients with no abnormal EUS findings, and 3 patients failed the procedure, 56 patients were included in the final diagnostic performance analysis. The most common locations of the lesions were the rectum (37/56, 66.1%) and sigmoid colon (7/56, 12.5%). Based on endoscopy findings and pathological results, the most prevalent types of subepithelial lesions in the lower gastrointestinal tract were neuroendocrine tumor (NET) (12/56, 20.3%), lipoma (8/56, 13.6%) and extraluminal compression (8/56, 13.6%). The majority of lesions ranged in diameter from 1 to 3cm (χ2 = 18.750, p < 0.001). After undergoing linear EUS examination, 36 patients received EUS-FNA (3/36), biopsy (5/36), endoscopic resection (25/36), or surgical excision (3/36) respectively. The pathological results of 29 patients were entirely consistent with the diagnosis made using linear EUS, with an 80.6% (29/36) diagnostic accuracy rate. Follow-up indicated that the lesions remained unchanged within 6-36months. All patients tolerated the procedure well without any complications. In conclusion, linear EUS demonstrates technical feasibility, safety, and a high diagnostic accuracy for subepithelial lesions in the lower gastrointestinal tract.

Performance of cone-beam computed tomography (CBCT) in comparison to conventional computed tomography (CT) and magnetic resonance imaging (MRI) for the detection of bone invasion in oral squamous cell cancer (OSCC): a prospective study

BackgroundOral squamous carcinoma (OSCC) is often diagnosed at late stages and bone erosion or invasion of the jawbone is frequently present. Computed tomography (CT) and magnetic resonance imaging (MRI) are known to have high diagnostic sensitivities, specificities, and accuracies in detecting these bone affections in patients suffering from OSCC. To date, the existing data regarding the impact of cone-beam computed tomography (CBCT) have been weak. Therefore, this study aimed to investigate whether CBCT is a suitable tool to detect bone erosion or invasion in patients with OSCC.MethodsWe investigated in a prospective trial the impact of CBCT in the diagnosis of bone erosion or invasion in patients with OSCC who underwent surgery. Every participant received a CBCT, CT, and MRI scan during staging. Imaging modalities were evaluated by two specialists in oral and maxillofacial surgery (CBCT) and two specialists in radiology (CT and MRI) in a blinded way, to determine whether a bone affection was present or not. Reporting used the following 3-point system: no bony destruction (“0”), cortical bone erosion (“1”), or medullary bone invasion (“2”). Histological examination or a follow-up served to calculate the sensitivities, specificities, and accuracies of the imaging modalities.ResultsOur results revealed high diagnostic sensitivities (95.6%, 84.4%, and 88.9%), specificities (87.0%, 91.7%, and 91.7%), and accuracies (89.5%, 89.5%, and 90.8%) for CBCT, CT, and MRI. A pairwise comparison found no statistical difference between CBCT, CT, and MRI.ConclusionOur data support the routine use of CBCT in the diagnosis of bone erosion and invasion in patients with OSCC as diagnostic accuracy is equal to CT and MRI, the procedure is cost-effective, and it can be performed during initial contact with the patient.

3D SHINKEI MR neurography in evaluation of traumatic brachial plexus

3D SHINKEI neurography is a new sequence for imaging the peripheral nerves. The study aims at assessing traumatic brachial plexus injury using this sequence. Fifty-eight patients with suspected trauma induced brachial plexus injury underwent MR neurography (MRN) imaging in 3D SHINKEI sequence at 3 T. Surgery and intraoperative somatosensory evoked potentials or clinical follow-up results were used as the reference standard. MRN, surgery and electromyography (EMG) findings were recorded at four levels of the brachial plexus-roots, trunks, cords and branches. Fifty-eight patients had pre- or postganglionic injury. The C5–C6 nerve postganglionic segment was the most common (average 42%) among the postganglionic injuries detected by 3D SHINKEI MRN. The diagnostic accuracy (83.75%) and the specificity (90.30%) of MRN higher than that of EMG (p < 0.001). There was no significant difference in the diagnostic sensitivity of MRN compared with EMG (p > 0.05). Eighteen patients with brachial plexus injury underwent surgical exploration after MRN examination and the correlation between MRN and surgery was 66.7%. Due to the high diagnostic accuracy and specificity, 3D SHINKEI MRN can comprehensively display the traumatic brachial plexus injury. This sequence has great potential in the accurate diagnosis of traumatic brachial plexus injury.

Detection of pathogenic Leptospira with rapid extraction followed by recombinase polymerase amplification (RPA) and quantitative polymerase chain reaction (qPCR) assay-A comprehensive study from Sri Lanka.

Leptospirosis is the most widespread zoonosis in the world. The disease is more prevalent in tropical regions where the majority of developing countries are located. Leptospirosis is considered a protean manifestation zoonosis with severity of the disease ranging from a mild febrile illness to a severe and life-threatening illness. Clinical symptoms of leptospirosis overlap with other tropical febrile illnesses. Early, rapid, and definitive diagnosis is important for effective patient management. Since Polymerase Chain Reaction (PCR)-based assays are not readily available in most clinical settings, there is a need for an affordable, simple, and rapid diagnostic test. Quantitative PCR (qPCR) and Recombinase Polymerase Amplification (RPA) were implemented at the Faculty of Medicine, University of Kelaniya, and a prospective study to evaluate RPA for diagnosis of acute phase of leptospirosis was conducted. Results indicate that RPA and qPCR were positive in 81% (98/121) of the total positive and acute clinical samples. Of the 81 positive MAT confirmed patients 60 (74%) and 53 (65%) were positive with qPCR and RPA respectively. Retrospective evaluation revealed a high diagnostic accuracy (sensitivity-70% and specificity-87%) of RPA compared to MAT as the reference gold standard. Results further suggest that there is no significant difference between the two assays, qPCR and RPA-SwiftX (P = 0.40). Laboratory procedures for the extraction and detection by qPCR in the laboratory have been optimized to obtain results within 6 hours. However, the RPA-SwiftX method under field conditions took 35 minutes. The RPA-SwiftX method could replace the qPCR which shows similar sensitivity and specificity. Therefore, RPA established under the current study presents a powerful tool for the early and rapid diagnosis of leptospirosis at point-of-care.

Diagnostic Performance between Colposcopy Findings and Histopathology Reports

Background: Cervical cancer is the most frequent cancer in women worldwide. With appropriate screening, the condition can be prevented and treated. Colposcopy is a useful tool in the diagnosis and management of precancerous cervical lesions following primary screening. The gold standard for identifying precancerous lesions is histopathology. Objective: The aim of this study is to evaluate the diagnostic performance between colposcopy findings and histopathology reports Methods: The cross-sectional observational study was conducted in the Department of Colposcopy Clinic of Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, from July 2022 to June 2023. A total of 62 subjects were included in the study. The questionnaire was pretested, corrected and finalized. Data were collected by face-to-face interview and analyzed by appropriate computer based programmed software Statistical Package for the Social Sciences (SPSS), version 24. Results: In this study, the mean age was found to be 36.8±11.9 years, with a range from 20 to &gt;51 years maximum 44 (71.0%) of the patients were within the age group of 20 - 40 years. The majority 37 (59.7%) of patients completed SSC and most of the patients 56 (90.3%) were housewives. Most of the patients 59 (95.2%) were Muslims and about 32 (51.6%) came from middle-income families. About 25 (40.3%) patients were married between the ages of 15-17 years. About 25 (40.3%) were between 16-18 years during their first delivery and about 26 (41.9%) had 3-4 children and 21 (33.9%) had more than 4 children. Most of the patients 43(69.4%) had history of received OCP. Regarding colposcopic diagnosis, 12.9% (n=8) were normal, 69.4% (n=43) were CIN I, 9.7% (n=6) were CIN II and 8.1% (n=5) were CIN III and 30.6% (n=19) chronic cervicitis, 46.8% (n=29) CIN I, 6.5% (n=4) CIN II, 6.5% (n=4) CIN III, 4.8% (n=3) carcinoma in situ and 4.8% (n=3) were invasive squamous cell carcinoma by the histopathological diagnosis. Conclusion: Colposcopy had a rather high diagnostic accuracy for histopathologically verified precancerous cervical lesions. Even if the results of the screening tests are normal, patients who report with postcoital and postmenopausal bleeding should have colposcopies and biopsies. Colposcopy also has a high sensitivity, therefore it is simple to use the "see and treat" approach to lower dropout rates.

Diagnostic performance of photon-counting detector CT for differentiation between adrenal adenomas and metastases

ObjectivesAim of this study was to assess the value of virtual non-contrast (VNC) reconstructions in differentiating between adrenal adenomas and metastases on a photon-counting detector CT (PCD-CT).Material and methodsPatients with adrenal masses and contrast-enhanced CT scans in portal venous phase were included. Image reconstructions were performed, including conventional VNC (VNCConv) and PureCalcium VNC (VNCPC), as well as virtual monochromatic images (VMI, 40–90 keV) and iodine maps. We analyzed images using semi-automatic segmentation of adrenal lesions and extracted quantitative data. Logistic regression models, non-parametric tests, Bland–Altman plots, and a random forest classifier were used for statistical analyses.ResultsThe final study cohort consisted of 90 patients (36 female, mean age 67.8 years [range 39–87]) with adrenal lesions (45 adenomas, 45 metastases). Compared to metastases, adrenal adenomas showed significantly lower CT-values in VNCConv and VNCPC (p = 0.007). Mean difference between VNC and true non-contrast (TNC) was 17.67 for VNCConv and 14.85 for VNCPC. Random forest classifier and logistic regression models both identified VNCConv and VNCPC as the best discriminators. When using 26 HU as the threshold in VNCConv reconstructions, adenomas could be discriminated from metastases with a sensitivity of 86.7% and a specificity of 75.6%.ConclusionVNC algorithms overestimate CT values compared to TNC in the assessment of adrenal lesions. However, they allow a reliable discrimination between adrenal adenomas and metastases and could be used in clinical routine in near future with an increased threshold (e.g., 26 HU). Further (multi-center) studies with larger patient cohorts and standardized protocols are required.Clinical relevance statementVNC reconstructions overestimate CT values compared to TNC. Using a different threshold (e.g., 26 HU compared to the established 10 HU), VNC has a high diagnostic accuracy for the discrimination between adrenal adenomas and metastases.Key Points• Virtual non-contrast reconstructions may be promising tools to differentiate adrenal lesions and might save further diagnostic tests.• The conventional and a new calcium-preserving virtual non-contrast algorithm tend to systematically overestimate CT-values compared to true non-contrast images.• Therefore, increasing the established threshold for true non-contrast images (e.g., 10HU) may help to differentiate between adrenal adenomas and metastases on contrast-enhanced CT.

Photon-counting CT of degenerative changes and rupture of silicone breast implants: a pilot study

BackgroundAccurate assessment of breast implants is important for appropriate clinical management. We evaluated silicone properties and diagnostic accuracy for characterizing silicone implants and detecting degenerative changes including rupture in photon-counting computed tomography (PCCT).MethodsOver 16 months, we prospectively included patients with silicone implants and available breast magnetic resonance imaging (MRI) who received thoracic PCCT performed in prone position. Consensus reading of all available imaging studies including MRI served as reference standard. Two readers evaluated all implants in PCCT reconstructions for degenerative changes. In a subgroup of implants, mean density of silicone, adjacent muscle, and fat were measured on PCCT reconstructions. Contrast-to-noise ratios (CNRs) were calculated for implant-to-muscle and implant-to-fat.ResultsAmong 21 subjects, aged 60 ± 13.1 years (mean ± standard deviation) with 29 implants PCCT showed the following: high accuracy for linguine sign, intraimplant fluid (all > 0.99), peri-implant silicone (0.95), keyhole sign (0.90), and folds of the membrane (0.81); high specificity for linguine sign, intraimplant fluid, keyhole sign, folds of the membrane (all > 0.99), and peri-implant silicone (0.98); and high sensitivity for linguine sign and intraimplant fluid (all > 0.99). In a subgroup of 12 implants, the highest CNR for implant-to-muscle was observed on virtual unenhanced reconstructions (20.9) and iodine maps (22.9), for implant-to-fat on iodine maps (27.7) and monoenergetic reconstructions (31.8).ConclusionsOur findings demonstrate that silicone breast implants exhibit distinct contrast properties at PCCT, which may provide incremental information for detection of degenerative changes and rupture of implants.Relevance statementThoracic photon-counting computed tomography is a promising modality for the diagnostic assessment of silicone breast implants.Key points• Thoracic photon-counting computed tomography demonstrates unique contrast properties of silicone breast implants.• Iodine map reconstructions reveal strong contrast-to-noise ratios for implant-to-muscle and implant-to-fat.• Thoracic photon-counting computed tomography shows high diagnostic accuracy in detecting implant degeneration and rupture.Trial registrationGerman Clinical Trials Register number DRKS00028997, date of registration 2022–08-08, retrospectively registered.Graphical

Olink proteomics analysis uncovers inflammatory proteins in patients with different states of bipolar disorder

Study Design: A prospective study. BackgroundThis study aims to investigate the relationship between different states of bipolar disorder (BD) and plasma inflammatory proteins, which may be used as their biomarkers. Materials and methodsWe totally collected admission plasma from 16 healthy subjects and 32 BD patients, including 16 patients with BD manic episodes (BD-M) and 16 patients with BD depressive episodes (BD-D). Ten samples in each group were analyzed by proximity extension assays of 92 inflammation-related proteins, and all samples were verified by ELISA. Receiver-operating characteristic (ROC) curve analysis was performed to identify the diagnostic ability and cut-off values of potential biomarkers. ResultsOur findings showed that BD patients had significantly higher levels of IL6, MCP-1, TGF-α, IL8, and IL10-RB in comparison with healthy subjects, and their cut-off values were 0.531 pg/ml, 0.531 pg/ml, 0.469 pg/ml, 0.406 pg/ml, and 0.406 pg/ml, respectively. The levels of IL6, MCP-1, TGF-α, and IL8 in BD-M patients were significantly greater than in healthy individuals, and their cut-off values were 0.813 pg/ml, 0.688 pg/ml, 0.438 pg/ml, and 0.625 pg/ml, respectively. Moreover, we found cut-off values of 0.500 pg/mL and 0.688 ng/mL for TGF-α and β-NGF, respectively, even though the levels in the BD-D group were much higher than in the control group. Furthermore, BD-M patients had significantly higher levels of IL6, FGF-19, IFN-γ, and IL-17C in comparison with BD-D patients. Likewise, 0.687 pg/ml, 0.500 pg/ml, 0.438 pg/ml, and 0.375 pg/ml were their cut-off values, respectively. Our findings also showed that the combination of these proteins had the highest diagnostic accuracy. ConclusionsOur findings showed that plasma inflammatory proteins were related to BD and its subtypes, which may be utilized as potential biomarkers of different stages of BD. Furthermore, we also found their cut-off values and their combinations to have the highest diagnostic accuracy, providing clinicians with a new method to rapidly differentiate BD and its subtypes and manage early targeted interventions.

Diagnostic Accuracy of a Combination of Preoperative 68-Ga Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography and Multiparametric Magnetic Resonance Imaging in Localized Prostate Cancer

Introduction: Prostate cancer (PCa) is a common and leading course of cancer-related death in men. Although there are studies on multiparametric magnetic resonance imaging (MpMRI) with good diagnostic results in detecting clinically significant PCa, new methods have been investigated due to the low positive predictive values. In this context, prostate-specific membrane antigen positron emission tomography (PSMA PET) emerges as an alternative imaging method to MpMRI. This study aimed to compare 68Ga PSMA I&T-PET/CT and MpMRI in determining tumor location. Methods: Preoperative MpMRI and 68Ga PSMA I&T-PET/CT scans and pathology specimens of patients who underwent radical prostatectomy for PCa at our clinic between 2018 and 2021 were retrospectively evaluated. PSMA I&T-PET/CT, MpMRI, combined imaging were compared for tumor localization according to histopathological data. Results: In terms of tumor localization, MpMRI demonstrated overall accuracy rates of 75.9% (p kappa [κ] 0.0001* [0.525]). 68Ga PSMA I&T-PET/CT showed 71.5% (p κ 0.0001* [0.438]). For the combined imaging approach, the overall accuracy rate was calculated as 79.2% (p κ 0.0001* [0.576]). Additionally, high diagnostic accuracy was achieved for the combined imaging approach, particularly in the intermediate ISUP group. Moreover, SUVmax was calculated as 6.37. Conclusion: The combined use of 68Ga PSMA I&T-PET/CT and MpMRI has high diagnostic rates. However, the high cost is a significant disadvantage that limits their routine combined use.

The Role of Artificial Intelligence in Advancing Healthcare: A Comprehensive Review

In healthcare and clinical research, artificial intelligence (AI) has become a disruptive force that is transforming many facets of medical practice, diagnosis, treatment, and research. In order to give a thorough overview of the role of AI in healthcare, this review paper synthesizes views from a wide range of sources, including academic publications, conference papers, industry reports, and opinion pieces. It looks at how AI is being used in healthcare settings and how it may be used for jobs like patient care, diagnosis, and therapy. The article also covers the advantages of AI in healthcare, such as increased patient monitoring, individualized therapy alternatives, and higher diagnostic accuracy. The analysis does, however, also point out a number of obstacles and constraints that come with the broad use of AI, including worries about data privacy, algorithmic bias, legal restrictions, and ethical issues. The study highlights the need for ongoing research, innovation, and cooperation to achieve the full potential of AI in enhancing healthcare outcomes as it looks forward and identifies new trends and future directions in AI-enabled healthcare. In order to enable the responsible and fair deployment of AI technology, ethical aspects surrounding AI in healthcare are also covered. These considerations include informed consent, transparency, and equity. The article highlights the value of using lessonslearned from these experiences to guide future projects by providing case studies and examples of effective AI applications in healthcare settings. The overall goal of this review paper is to educate policymakers, researchers, healthcare providers, and other stakeholders about the opportunities and challenges that come with integrating AI into healthcare systems. It also aims to offer insightful information about the revolutionary impact of AI on clinical research and healthcare. Keywords: Artificial intelligence (AI), Healthcare, Clinical research, Diagnosis, Treatment