The value of multimodal ultrasonography in differential diagnosis of tuberculous and non-tuberculous superficial lymphadenitis

Can Ultrasound Evaluation of Lymph Node Size and Necrosis Rate Predict Chemotherapy Response in Cervical Tuberculous Lymphadenitis?

Purpose

To explore the relationship between the initial size and the necrotic rate of lymph nodes evaluated by ultrasound in patients with cervical tuberculous lymphadenitis (CTL) and therapeutic response.

Methods

Overall, 55 patients were included in this study. Conventional ultrasound and contrast-enhanced ultrasound examination were performed before anti-tuberculosis chemotherapy. Based on the different therapeutic outcomes, they were divided into responder groups (n = 39) and non-responder groups (n = 16). The relationship between the initial size (maximum area, length diameter, short diameter), rate of necrosis, and therapeutic response were compared and analyzed between two groups.

Results

There was a significant difference in maximum area, short diameter and rate of necrosis of lymph nodes between the responder groups and the non-responder groups (P < 0.05). The receiver-operating-characteristic (ROC) curve analysis was used to differentiate the two groups, it showed that the area under the curve was 0.746 for maximum area and 0.721 for short diameter, respectively. The cut-off value for the lymph node maximum area and short diameter based on ROC curve analysis was determined as 3.94cm2 (sensitivity 76.9%, specificity 68.7%) and 1.15cm (sensitivity 59.0%, specificity 93.7%), respectively. A negative correlation was observed between maximum area, short diameter, and therapeutic response.

Conclusion

The initial maximum area and short diameter of lymph nodes were found to have a negative correlation with chemotherapy response in patients with CTL. The treatment outcomes are typically unsatisfactory for lymph nodes exhibiting an initial necrosis rate of 50% or higher. These findings may be helpful for evaluating therapeutic response.

Comments and Illustrations of Ultrasound Findings in Extrapulmonary Tuberculosis Manifestations

This review describes the appearance of extrapulmonary tuberculosis manifestations in comprehensive and multiparametric ultrasound imaging. The aim is to increase awareness of typical ultrasound findings regarding extrapulmonary tuberculosis, correlate those with pathological features, and facilitate differential diagnosis. Point of care ultrasound protocols can be used as a screening method in high-risk populations, although the negative findings do not exclude tuberculosis. Conversely, the diagnosis of extrapulmonary tuberculosis can never be made using ultrasound alone, as many ultrasound findings in extrapulmonary tuberculosis are non-specific. However, ultrasound-based sampling techniques can significantly facilitate the collection of samples for microbiological or molecular proof of tuberculosis, as well as facilitating the establishment of alternative diagnoses.

Application of ultrasound multimodal imaging in the prediction of cervical tuberculous lymphadenitis rupture

Lymph node tuberculosis is particularly common in regions with a high tuberculosis burden, and it has a great risk of rupture. This study aims to investigate the utility of ultrasound multimodal imaging in predicting the rupture of cervical tuberculous lymphadenitis (CTL). 128 patients with unruptured CTL confirmed by pathology or laboratory tests were included. Various ultrasonic image features, including long-to-short-axis ratio (L/S), margin, internal echotexture, coarse calcification, Color Doppler Flow Imaging (CDFI), perinodal echogenicity, elastography score, and non-enhanced area proportion in contrast-enhanced ultrasound (CEUS), were analyzed to determine their predictive value for CTL rupture within a one-year follow-up period. As a result, L/S (P < 0.001), margin (P < 0.001), internal echotexture (P < 0.001), coarse calcification (P < 0.001), perinodal echogenicity (P < 0.001), and the area of non-enhancement in CEUS (P < 0.001) were identified as significant imaging features for predicting CTL rupture. The prognostic prediction showed a sensitivity of 89.29%, specificity of 100%, accuracy of 95.31%, respectively. Imaging findings such as L/S < 2, unclear margin, heterogeneous internal echotexture, perinodal echogenicity changed, and non-enhancement area in CEUS > 1/2, are indicative of CTL rupture, while coarse calcification in the lymph nodes is associated with a favorable prognosis.

Transcranial Doppler Ultrasonography detection on cerebral infarction and blood vessels to evaluate hypoxic ischemic encephalopathy modeling

BACKGROUND

This study aimed to observe changes of rats' brain infarction and blood vessels during neonatal hypoxic ischemic encephalopathy (NHIE) modeling by Transcranial Doppler Ultrasonography (TCD) so as to assess the feasibility of TCD in evaluating NHIE modeling.

METHODS

Postnatal 7-days (d)-old Sprague Dawley (SD) rats were divided into the Sham group, hypoxic-ischemic (HI) group, and hypoxia (H) group. Rats in the HI group and H group were subjected to hypoxia-1 hour (h), 1.5 h and 2.5 h, respectively. Evaluation on brain lesion was made based on Zea-Longa scores, hematoxylin-eosin (HE) staining and Nissl staining. The brain infarction and blood vessels of rats were monitored and analyzed under TCD. Correlation analysis was applied to reveal the connection between hypoxic duration and infarct size detected by TCD or Nissl staining.

RESULTS

In H and HI modeling, longer duration of hypoxia was associated with higher Zea-Longa scores and more severe nerve damage. On the 1 d after modeling, necrosis was found in SD rats' brain indicated by HE and Nissl staining, which was aggravated as hypoxic duration prolonged. Alteration of brain structures and blood vessels of SD rats was displayed in Sham, HI and H rats under TCD. TCD images for coronal section revealed that brain infarct was detected at the cortex and there was marked cerebrovascular back-flow of HI rats regardless of hypoxic duration. On the 7 d after modeling, similar infarct was detected under TCD at the cortex of HI rats in hypoxia-1 h, 1.5 h and 2.5 h groups, whereas the morphological changes were deteriorated with longer hypoxic time. Correlation analysis revealed positive correlation of hypoxic duration with infarct size detected by histological detection and TCD.

CONCLUSIONS

TCD dynamically monitored cerebral infarction after NHIE modeling, which will be potentially served as a useful auxiliary method for future animal experimental modeling evaluation in the case of less animal sacrifice.

Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advances

Tuberculosis (TB) remains a global threat, with the rise of multiple and extensively drug resistant TB posing additional challenges. The International health community has set various 5-yearly targets for TB elimination: mathematical modelling suggests that a 2050 target is feasible with a strategy combining better diagnostics, drugs, and vaccines to detect and treat both latent and active infection. The availability of rapid and highly sensitive diagnostic tools (Gene-Xpert, TB-Quick) will vastly facilitate population-level identification of TB (including rifampicin resistance and through it, multi-drug-resistant TB). Basic-research advances have illuminated molecular mechanisms in TB, including the protective role of Vitamin D. Also, Mycobacterium tuberculosis impairs the host immune response through epigenetic mechanisms (histone-binding modulation). Imaging will continue to be key, both for initial diagnosis and follow-up. We discuss advances in multiple imaging modalities to evaluate TB tissue changes, such as molecular imaging techniques (including pathogen-specific positron emission tomography imaging agents), non-invasive temporal monitoring, and computing enhancements to improve data acquisition and reduce scan times. Big data analysis and Artificial Intelligence (AI) algorithms, notably in the AI sub-field called “Deep Learning”, can potentially increase the speed and accuracy of diagnosis. Additionally, Federated learning makes multi-institutional/multi-city AI-based collaborations possible without sharing identifiable patient data. More powerful hardware designs - e.g., Edge and Quantum Computing- will facilitate the role of computing applications in TB. However, “Artificial Intelligence needs real Intelligence to guide it!” To have maximal impact, AI must use a holistic approach that incorporates time tested human wisdom gained over decades from the full gamut of TB, i.e., key imaging and clinical parameters, including prognostic indicators, plus bacterial and epidemiologic data. We propose a similar holistic approach at the level of national/international policy formulation and implementation, to enable effective culmination of TB’s endgame, summarizing it with the acronym “TB - REVISITED”.

Value of Contrast-Enhanced Ultrasound in the Ultrasound Classification of Cervical Tuberculous Lymphadenitis

Purpose

The purpose of this study was to investigate the clinical value of contrast-enhanced ultrasound (CEUS) in the ultrasound (US) classification of cervical tuberculous lymphadenitis (CTL).

Materials and Methods

This retrospective study included 70 patients diagnosed with CTL. All patients underwent both conventional US and CEUS. Both methods were compared to determine their agreement with pathological CTL results.

Results

The results of conventional US classification were as follows: 18 patients (25.7%) were type I, 25 patients (35.7%) type II, 21 patients (30.0%) type III, and 6 patients (8.6%) type IV, respectively. The results of CEUS classification were as follows: 9 patients (12.9%) were type I, 33 patients (47.1%) type II, 22 patients (31.4%) type III, and 6 patients (8.6%) type IV. Conventional US classification and pathological results showed moderate agreement in terms of US classification results for CTL (Kappa = 0.693); the accuracy of conventional US classification was 78.6% (55/70), and the accuracy of types II and III were 71.0% (22/31) and 82.6% (19/23), respectively. CEUS classification and pathological results showed strong agreement (Kappa = 0.871); the accuracy of CEUS classification was 91.4% (64/70), and the accuracy of types II and III were 93.6% (29/31) and 87.0% (20/23), respectively.

Conclusion

In combined with conventional US, CEUS could provide more information on blood flow enhancement patterns and identify the area of lymph node necrosis in CTL. This could contribute to a more accurate US classification of CTL.