Different Types Of Lesions Research Articles

Real-World Performance of Excimer Laser Ablation Combined with Drug-Coated Balloon Versus Drug-Coated Balloon for the Treatment of Femoropopliteal In-Stent Restenosis Disease.

This study aims to assess the effectiveness and identify the risk factors associated with postoperative restenosis in patients with femoropopliteal in-stent restenosis (FP-ISR) disease treated with excimer laser ablation (ELA) combined with drug-coated balloon (DCB) versus DCB alone. This retrospective real-world study compares patients with FP-ISR treated with ELA + DCB versus DCB alone. Additionally, subgroup analysis was conducted for long-segment lesions (lesion length ≥200 mm) and Tosaka III lesions. Then Cox regression analysis was used to examine 24-month outcomes of target lesion revascularization and restenosis. We found no significant differences in primary patency and freedom from clinically driven target lesion revascularization (CD-TLR) at 24 months between the ELA + DCB group (49 patients) and the DCB group (82 patients). In the subgroup analysis of long-segment lesions (target lesion length ≥200 mm), the results showed that ELA + DCB was superior to DCB at 24 months in terms of both primary patency (55.0% vs 35.3%; P = 0.048) and freedom from CD-TLR (77.8% vs 50.8%; P = 0.033). The 2 treatment methods did not show statistical significance in the subgroup analysis of Tosaka III patients. Target lesion length of ≥200 mm was found to have a significant association with restenosis (hazard ratio = 5.28; 95% CI, 2.48-11.23; P < 0.001) and freedom from CD-TLR (hazard ratio = 3.02; 95% CI, 1.02-9.30; P = 0.044) in the multivariate analysis. We do not have sufficient evidence to show a significant difference between ELA + DCB and DCB alone for FP-ISR. However, for patients with long-segment FP-ISR lesions, ELA + DCB may provide better long-term patency. Our results suggest that for patients with long-segment (≥200 mm) FP-ISR, the efficacy of ELA combined with DCB may be superior to that of DCB alone. For patients with FP-ISR <200 mm, DCB alone may achieve satisfactory efficacy, thus reducing the medical burden on patients and allowing for the selection of more appropriate treatment options for different types of lesions.

Histopathological patterns of gastrointestinal lesions: Insights from a Tertiary Care Centre

Gastrointestinal (GI) lesions are a common clinical concern with significant implications for patient health, particularly in cases involving malignancies. Understanding the histopathological spectrum of these lesions is crucial for improving diagnosis and treatment strategies. This study aimed to investigate the histopathological spectrum of gastrointestinal lesions at a tertiary care center, focusing on the prevalence of different types of lesions and their distribution according to clinicopathological parameters. Methods: This cross-sectional study was conducted over a one-year period, from November 2022, to October 2023, at the Department of Pathology, Rohilkhand Medical College and Hospital, Bareilly, UP. A total of 100 patients with clinically suspected GI lesions were included. Biopsy specimens were collected and analyzed using standard histopathological techniques. The data were analyzed to determine the frequency of different types of GI lesions and their correlation with clinical features. Results: The study found that inflammatory lesions were the most prevalent, accounting for 57% of the cases. Malignant lesions were identified in 35% of the patients, with adenocarcinoma being the most common malignancy, especially in the colon, representing 57.14% of malignant cases. The small intestine was the most frequently affected anatomical site, involved in 33% of the cases, followed by the appendix at 22%. The majority of patients were middle-aged males, with a significant correlation between the type of lesion and gender. Conclusion: This study highlights the significant burden of gastrointestinal lesions, particularly inflammatory and malignant lesions, in the studied population. The findings underscore the importance of early detection and intervention to prevent the progression of these lesions, particularly in high-risk groups such as older males. Enhanced clinical management strategies are needed to address the substantial impact of GI pathologies on patient health.

Advances in high throughput sequencing methods for DNA damage and repair.

With the rapid development of high-throughput sequencing technology in the past decade, an increasing number of sequencing methods targeting different types of DNA damage have been developed and widely used in the field. These technologies not only help to elucidate the dynamic processes of repair pathways corresponding to different types of lesions, understand the underlying mechanisms of key factors and identify new hotspots prone to damage, but also greatly advanced our knowledge of crucial physiological processes such as meiotic homologous recombination, antibody generation and cytosine demethylation. These advancements hold significant potential for broader applications in exploring disease initiation and drug development. However, understanding and selecting the appropriate techniques have become difficult. This article reviews the main sequencing detection methods for the most common DNA lesions and introduce their principles, thereby providing valuable insights for the selection, application, further development and optimization of these technologies.

Enamel Hypomineralization: Prevalence, Defect Characteristics in Primary Dentition in a Northern Indian Region.

No data is available on hypomineralization in the full complement of primary dentition. To report on the prevalence and clinical presentation of enamel hypomineralization (EH) in the primary dentition. A cross-sectional observational study with a random sample of 948, 4-6-year-old schoolchildren of Gautam Buddh Nagar, Uttar Pradesh, India, was conducted after approval from the Institutional Ethics Committee. European Academy of Paediatric Dentistry (EAPD) (2003) criteria were employed to score EH in all primary teeth. A single experienced examiner conducted an entire clinical examination of the study population. Data were expressed as the prevalence, type, extent, and distribution. Further analyses were conducted to compare the prevalence and distribution of different types of lesions in affected subjects using student t-tests and analysis of variance (ANOVA). An overall prevalence of 7.51% (71/948) was reported. A total of 2.75 ± 1.735 teeth/subject were reported to be affected. The most common lesion was creamy white opacity (p = 0.002), while posteruptive breakdown (PEB) was observed in 40.85% (29/71) of affected subjects. The prevalence of EH in primary dentition was 7.51%. Further studies mapping the prevalence as well as possible links with molar incisor hypomineralization (MIH) in other geographical locations of the world are required. Mittal N, Gupta N, Goyal A. Enamel Hypomineralization: Prevalence, Defect Characteristics in Primary Dentition in a Northern Indian Region. Int J Clin Pediatr Dent 2024;17(S-1):S67-S72.

The Influence of Clustered DNA Damage Containing Iz/Oz and OXOdG on the Charge Transfer through the Double Helix: A Theoretical Study.

The genome-the source of life and platform of evolution-is continuously exposed to harmful factors, both extra- and intra-cellular. Their activity causes different types of DNA damage, with approximately 80 different types of lesions having been identified so far. In this paper, the influence of a clustered DNA damage site containing imidazolone (Iz) or oxazolone (Oz) and 7,8-dihydro-8-oxo-2'-deoxyguanosine (OXOdG) on the charge transfer through the double helix as well as their electronic properties were investigated. To this end, the structures of oligo-Iz, d[A1Iz2A3OXOG4A5]*d[T5C4T3C2T1], and oligo-Oz, d[A1Oz2A3OXOG4A5]*d[T5C4T3C2T1], were optimized at the M06-2X/6-D95**//M06-2X/sto-3G level of theory in the aqueous phase using the ONIOM methodology; all the discussed energies were obtained at the M06-2X/6-31++G** level of theory. The non-equilibrated and equilibrated solvent-solute interactions were taken into consideration. The following results were found: (A) In all the discussed cases, OXOdG showed a higher predisposition to radical cation formation, and B) the excess electron migration toward Iz and Oz was preferred. However, in the case of oligo-Oz, the electron transfer from Oz2 to complementary C4 was noted during vertical to adiabatic anion relaxation, while for oligo-Iz, it was settled exclusively on the Iz2 moiety. The above was reflected in the charge transfer rate constant, vertical/adiabatic ionization potential, and electron affinity energy values, as well as the charge and spin distribution. It can be postulated that imidazolone moiety formation within the CDL ds-oligo structure and its conversion to oxazolone can significantly influence the charge migration process, depending on the C2 carbon hybridization sp2 or sp3. The above can confuse the single DNA damage recognition and removal processes, cause an increase in mutagenesis, and harm the effectiveness of anticancer therapy.

Application of ultrasound shear wave elastography in tumors of head and neck region – a preliminary study and literature review

&lt;b&gt;Introduction:&lt;/b&gt; Ultrasound (US) scanning is one of the primary modalities in diagnostic imaging of the head and neck region. Shear wave elastography (SWE) is an ultrasound technique that facilitates objective measurements of the stiffness of the examined tissues. Additional data obtained from SWE can increase the diagnostic value of ultrasound scans in clinical practice.&lt;b&gt;Materials and methods:&lt;/b&gt; A retrospective analysis of SWE examinations as performed in patients with head and neck tumor in the period of 2021 through 2022 is presented. The obtained SWE measurements were referenced against the results of histopathological or cytological examinations.&lt;b&gt;Results:&lt;/b&gt; SWE scans were acquired in 101 patients. In 62 patients, major salivary gland lesions were examined to reveal 7 malignant neoplasms, 49 benign neoplasms, and 6 inflammatory lesions. Lymph nodes were examined in 31 patients to reveal 11 cases of reactive lymph nodes, 12 metastases of malignant neoplasms, and 8 cases of lymphoma. Eight tumors of other nature and location were also examined to reveal 2 malignant neoplasms, 5 benign neoplasms, and 1 inflammatory infiltrate within the area of large vessels. Based on the results, SWE was concluded to be a useful tool for differentiation between metastatic and reactive lymph nodes. In salivary gland lesions, the measurements of tissue stiffness are particularly useful in the differential diagnosis of the most common non-malignant tumors.&lt;b&gt;Conclusions:&lt;/b&gt; Shear wave elastography is a valuable adjunct to ultrasound imaging. Further studies on a larger group of patients with diverse pathologies are required to identify cutoff points for tissue stiffness coefficients for different types of lesions.

Effect of contrast agent on T2-weighted fat-suppressed imaging and diffusion-weighted imaging in the diagnosis of breast tumors.

Although previous studies have shown that the injection of contrast agents can improve image quality, the specific impact of this on T2-weighted fat-suppressed (T2 FS) and diffusion-weighted imaging (DWI) sequences in the diagnosis of breast cancer remains incompletely understood. In particular, there is insufficient research on how contrast agents affect the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) values within these sequences, and how these changes influence the diagnosis of benign and malignant breast tumors. Breast magnetic resonance images (MRI) were obtained from 178 consecutive patients on a 3T scanner. The SNR and CNR of lesions on T2 FS sequence were calculated before and after contrast agent injection and compared. Differences between pre- and post-contrast ADC in identifying different tumor types were compared using the Kruskal-Wallis H-test and the paired comparison test. The accuracy of ADC values between pre- and post-contrast in distinguishing benign and malignant breast masses was assessed using receiver operating characteristic (ROC) curves. The SNR and CNR of T2 FS sequence increased after contrast injection, and especially for invasive cancer and benign tumor, the increase was significant. For DWI, there was a slight increase or decrease of ADC values after contrast injection, but the ADC values before and after contrast had a similar effect in identifying different types of tumors. In the ROC curve analysis for assessing benign and malignant breast tumors, the area under the curve (AUC) before and after contrast showed similar results. Contrast agent injection can improve the SNR and CNR of T2 FS sequence, thus providing higher quality images for the diagnosis of breast lesions. Furthermore, injection of contrast agent had little effect on the ability of ADC values to identify different types of lesions and both ADC values before and after the contrast agent were able to distinguish between benign and malignant tumors with almost the same accuracy.

Diagnostic evaluation and treatment of osteoarticular lesions in patients having sickle cell anemia: Literature review

Sickle cell anemia is a genetic disorder in which the structure of hemoglobin undergoes a significant alteration through a point mutation in the β-globin gene. When the gene is altered in sickle cell disease, hemoglobin S is expressed, causing the red blood cell to acquire the characteristic sickle shape. Thus, in the presence of this mutation, especially with changes in oxygen concentration and pH, hemoglobin S tends to polymerize, resulting in sickling of the red blood cells, leading to a shortened lifespan of red blood cells, vascular occlusion phenomena, and episodes of pain and organ damage. Among the complications caused by sickle cell disease, stroke, recurrent infections, osteoarticular disease, among others, can be mentioned. One of the complications that generates the greatest morbidity is osteoarticular lesions, which can present with symptoms such as pain, swelling, warmth, fever, reduced vascularization, and even necrosis. Therefore, this study aimed to evaluate the diagnostic methods used in osteoarticular lesions in patients with sickle cell anemia. Among the most commonly used diagnostic methods in patients with sickle cell disease suspected of osteoarticular lesions, we can emphasize imaging diagnostic methods such as X-rays, magnetic resonance imaging (MRI), scintigraphy, and PET-CT, which can be used to differentiate between different types of lesions and suspected infectious processes, such as osteomyelitis. Therefore, imaging diagnostic methods are essential in identifying the lesion and the best treatment, with total hip arthroplasty being the most invasive method, although it is often the initial choice due to the severity of the lesion, or it is used after unpromising results from other less invasive procedures, such as femoral head decompression, grafting, and subchondroplasty.

Long-term outcomes of endovascular therapy for right subclavian artery occlusive lesions: A multi-center experience.

To review our multi-institutional experience with endovascular therapy for right subclavian artery occlusive disease and to evaluate the long-term outcomes. We retrospectively evaluated all patients with right subclavian artery stenosis and occlusive disease who underwent endovascular therapy between March 2014 and September 2022 at two institutions. Patient baseline demographics, lesion characteristics, treatment strategies, and in-hospital and follow-up outcomes were prospectively collected and retrospectively analyzed. Between March 2014 and September 2022, 73 patients underwent endovascular treatment at the two institutions. The dominant cause of lesions in this cohort was atherosclerosis. Three different types of lesions were summarized, and the corresponding endovascular strategies were performed. 66 patients (90.4%) underwent successful endovascular treatment, and 62 patients (84.9%) underwent balloon-expandable stent deployment. The mean perioperative in-hospital stay was 4.0days (range, 3-6days). Two patients died due to myocardial infarction, and one died of cerebral hemorrhage resulting from a traffic accident within 30days of the intervention. The median follow-up time was 31.6months (range, 12-96 months). No complications, including death, stroke, stent fractures, or migration, were noted in any patient during the follow-up period. The overall complication rate was 7/73 (9.6%), and 5/7 (6.9%) of the complications required reintervention. Endovascular treatment of right subclavian artery lesions is safe, effective, and technically achievable. The reasonable use of balloon-expandable stents can achieve satisfactory outcomes with accurate orientation and promising patency.

SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation.

The precise segmentation of medical images is one of the key challenges in pathology research and clinical practice. However, many medical image segmentation tasks have problems such as large differences between different types of lesions and similar shapes as well as colors between lesions and surrounding tissues, which seriously affects the improvement of segmentation accuracy. In this article, a novel method called Swin Pyramid Aggregation network (SwinPA-Net) is proposed by combining two designed modules with Swin Transformer to learn more powerful and robust features. The two modules, named dense multiplicative connection (DMC) module and local pyramid attention (LPA) module, are proposed to aggregate the multiscale context information of medical images. The DMC module cascades the multiscale semantic feature information through dense multiplicative feature fusion, which minimizes the interference of shallow background noise to improve the feature expression and solves the problem of excessive variation in lesion size and type. Moreover, the LPA module guides the network to focus on the region of interest by merging the global attention and the local attention, which helps to solve similar problems. The proposed network is evaluated on two public benchmark datasets for polyp segmentation task and skin lesion segmentation task as well as a clinical private dataset for laparoscopic image segmentation task. Compared with existing state-of-the-art (SOTA) methods, the SwinPA-Net achieves the most advanced performance and can outperform the second-best method on the mean Dice score by 1.68%, 0.8%, and 1.2% on the three tasks, respectively.

HDS-Net: Achieving fine-grained skin lesion segmentation using hybrid encoding and dynamic sparse attention.

Skin cancer is one of the most common malignant tumors worldwide, and early detection is crucial for improving its cure rate. In the field of medical imaging, accurate segmentation of lesion areas within skin images is essential for precise diagnosis and effective treatment. Due to the capacity of deep learning models to conduct adaptive feature learning through end-to-end training, they have been widely applied in medical image segmentation tasks. However, challenges such as boundary ambiguity between normal skin and lesion areas, significant variations in the size and shape of lesion areas, and different types of lesions in different samples pose significant obstacles to skin lesion segmentation. Therefore, this study introduces a novel network model called HDS-Net (Hybrid Dynamic Sparse Network), aiming to address the challenges of boundary ambiguity and variations in lesion areas in skin image segmentation. Specifically, the proposed hybrid encoder can effectively extract local feature information and integrate it with global features. Additionally, a dynamic sparse attention mechanism is introduced, mitigating the impact of irrelevant redundancies on segmentation performance by precisely controlling the sparsity ratio. Experimental results on multiple public datasets demonstrate a significant improvement in Dice coefficients, reaching 0.914, 0.857, and 0.898, respectively.

The changes of oxygen extraction fraction in different types of lesions in relapsing-remitting multiple sclerosis: A cross-sectional and longitudinal study.

To explore the oxygen metabolism level of different types of lesions in relapsing-remitting multiple sclerosis (RRMS) patients by oxygen extraction fraction (OEF) both cross-sectionally and longitudinally. Forty-six RRMS patients and forty-one healthy controls (HC) went MRI examination. The quantitative susceptibility mapping (QSM) and OEF map were reconstructed from a 3D multi-echo gradient echo sequence. MS lesions in white matter were classified as contrast-enhancing lesions (CELs) on post-gadolinium T1-weighted sequence, paramagnetic rim lesions (PRLs), hyperintense lesions and non-hyperintense lesions on QSM, respectively. The susceptibility and OEF of different types of lesions were compared. The susceptibility and OEF values were measured and compared among different types of lesions. Among these RRMS patients, seventeen had follow-up MRI and 232 lesions, and baseline to follow-up longitudinal changes in susceptibility and OEF were measured. PRLs had higher susceptibility and lower OEF than CELs, hyperintense lesions, and non-hyperintense lesions. The hyperintense lesions had higher susceptibility and lower OEF than non-hyperintense lesions. In longitudinal changes, PRLs had susceptibility increased (P < 0.001) and OEF decreased (P < 0.001). The hyperintense lesions showed significant decreases in susceptibility (P = 0.020), and non-hyperintense lesions showed significant increases in OEF during follow-up (P = 0.005). Notably, hyperintense lesions may convert to PRLs or non-hyperintense lesions as time progresses, accompanied by changes of OEF and susceptibility in the lesions. This study revealed tissue damage and oxygen metabolism level in different types of MS lesions. The OEF may contribute to further understanding the evolution of MS lesions.

Spectrum of white lesions in the oral cavity- A review

The white lesions occurring in the oral cavity consist of 5% of the oral pathoses but some of these like leukoplakia, lichen planus, proliferative verrucous leukoplakia, etc have a high potential of malignant transformation up to 0.5-100%. As they are visualized as shades of white, they are of diagnostic challenge. Some of the lesions are also associated with other skin lesions viz. lichen planus, pemphigus, etc. The etiology, pathogenesis, and mode of treatment varies with the different type of lesions. This spectrum consists of lesions from harmless reactive lesions to dysplastic and malignant entities. The white appearance of these lesions is may be because of hyperkeratosis, acanthosis, intracellular/intercellular edema, necrosis of the epithelial cell or increased fibrosis. They are seen as patches, papules, or plaques unilaterally or bilaterally in the oral cavity involving buccal mucosa, tongue, palate, labial mucosa, gingiva etc. While there are a few clinical and histological elements that assist in the identification of this wide range of white lesions to arrive at an accurate diagnosis, further lending a hand in providing appropriate treatment for the same.

An open relaxation-diffusion MRI dataset in neurosurgical studies

Diffusion MRI (dMRI) is a safe and noninvasive technique that provides insight into the microarchitecture of brain tissue. Relaxation-diffusion MRI (rdMRI) is an extension of traditional dMRI that captures diffusion imaging data at multiple TEs to detect tissue heterogeneity between relaxation and diffusivity. rdMRI has great potential in neurosurgical research including brain tumor grading and treatment response evaluation. However, the lack of available data has limited the exploration of rdMRI in clinical settings. To address this, we are sharing a high-quality rdMRI dataset from 18 neurosurgical patients with different types of lesions, as well as two healthy individuals as controls. The rdMRI data was acquired using 7 TEs, where at each TE multi-shell dMRI with high spatial and angular resolutions is obtained at each TE. Each rdMRI scan underwent thorough artifact and distortion corrections using a specially designed processing pipeline. The dataset’s quality was assessed using standard practices, including quality control and assurance. This resource is a valuable addition to neurosurgical studies, and all data are openly accessible.

Healing Process after High-Intensity Focused Ultrasound Treatment of Benign Skin Lesions: Dermoscopic Analysis and Treatment Guidelines.

Background: High-Intensity Focused Ultrasound (HIFU) has emerged as a precise and non-invasive modality for tissue ablation and healing. This study presents a detailed dermoscopic analysis of skin healing post-High-Intensity Focused Ultrasound (HIFU) treatment, focusing on common benign skin lesions, such as seborrheic keratosis, sebaceous hyperplasia, vascular lesions, and sebaceous nevi. Methods: Prior to HIFU treatment, a comprehensive assessment was conducted, integrating ultrasound scanning and clinical evaluations. The TOOsonix System ONE-M was employed for HIFU treatments, with parameters tailored to each lesion type. Results: A common pattern observed across all lesions includes initial whitening post treatment, followed by scab formation and the development of a pink area with reparative vessels. This study, however, highlights distinct differences in fibrosis patterns and healing timelines across different lesion types. Each lesion type exhibited unique fibrosis patterns post treatment. Flatter variants of seborrheic keratosis healed within a month, displaying hypopigmentation and reparative vessels, alongside a distinct lattice fibrosis pattern in more verrucous forms, which took about two months to heal. Sebaceous hyperplasia, characterized by rapid healing within three weeks, demonstrated fibrosis with pink areas and perpendicular white lines, concluding with a slight depression. Vascular lesions varied in healing time based on depth, with superficial ones showing whitening and crust formation, while deeper lesions had vessel occlusion and size reduction accompanied by concentric fibrotic bands. Sebaceous nevi presented the longest healing duration of three months, characterized by amorphous white-gray structures, scab formation, and the emergence of pink areas with branching vessels, leading to clear skin with reduced white lines. Conclusions: in conclusion, this meticulous clinical evaluation highlights the unique healing characteristics and timelines for each skin lesion type treated with HIFU. These insights are invaluable for optimizing follow-up assessments, identifying potential complications, and refining treatment protocols. By providing detailed insights into the healing timelines and patterns for different types of lesions, patients can be better informed about their post-treatment journey.

Поражение плаценты и плода вирусом герпеса 2 типа

The review objective is to summarize the available information on herpes infection in the mother-placenta-fetus and newborn baby system. A great variety of risk factors for the transmission of HPV infection to the fetus, such as: the infection activity in the mother, the immune status of the pregnant woman, viral load during infection, etc. lead to placental and fetal lesions of different types.

CDI-NSTSEG: A clinical diagnosis-inspired effective and efficient framework for non-salient small tumor segmentation.

To accurately segment various clinical lesions from computed tomography(CT) images is a critical task for the diagnosis and treatment of many diseases. However, current segmentation frameworks are tailored to specific diseases, and limited frameworks can detect and segment different types of lesions. Besides, it is another challenging problem for current segmentation frameworks to segment visually inconspicuous and small-scale tumors (such as small intestinal stromal tumors and pancreatic tumors). Our proposed framework, CDI-NSTSEG, efficiently segments small non-salient tumors using multi-scale visual information and non-local target mining. CDI-NSTSEG follows the diagnostic process of clinicians, including preliminary screening, localization, refinement, and segmentation. Specifically, we first explore to extract the unique features at three different scales (1×, 0.5×, and 1.5×) based on the scale space theory. Our proposed scale fusion module (SFM) hierarchically fuses features to obtain a comprehensive representation, similar to preliminary screening in clinical diagnosis. The global localization module (GLM) is designed with a non-local attention mechanism. It captures the long-range semantic dependencies of channels and spatial locations from the fused features. GLM enables us to locate the tumor from a global perspective and output the initial prediction results. Finally, we design the layer focusing module (LFM) to gradually refine the initial results. LFM mainly conducts context exploration based on foreground and background features, focuses on suspicious areas layer-by-layer, and performs element-by-element addition and subtraction to eliminate errors. Our framework achieves state-of-the-art segmentation performance on small intestinal stromal tumor and pancreatic tumor datasets. CDI-NSTSEG outperforms the best comparison segmentation method by 7.38% Dice on small intestinal stromal tumors.

Patient with a novel syndrome with multiple benign hepatic lesions and extrahepatic neoplasms.

Simultaneous occurrence of benign hepatic lesions of different types is a sporadic phenomenon.To the best of our knowledge, we report the first clinical case of a syndrome with simultaneous manifestations of three different entities of benign liver tumors (hepatocellular adenoma, focal nodular hyperplasia and hemangioma) with a novel mutation detected in the liver adenoma and in the presence of a number of further extrahepatic organ neoplasms. Furthermore, we describe for the first time the presence of liver epithelial cells of hepatocytic phenotype expressing cytokeratin 7 (CK7) at the border of the adenoma.These findings may be important for explaining pathogenesis of benign as well as malignant tumors based on genetic and histopathological features.

Artificial intelligence-aided diagnostic imaging: A state-of-the-art technique in precancerous screening.

Chromoendoscopy with the use of indigo carmine (IC) dye is a crucial endoscopic technique to identify gastrointestinal neoplasms. However, its performance is limited by the endoscopist's skill, and no standards are available for lesion identification. Thus, we developed an artificial intelligence (AI) model to replace chromoendoscopy. This pilot study assessed the feasibility of our novel AI model in the conversion of white-light images (WLI) into virtual IC-dyed images based on a generative adversarial network. The predictions of our AI model were evaluated against the assessments of five endoscopic experts who were blinded to the purpose of this study with a staining quality rating from 1 (unacceptable) to 4 (excellent). The AI model successfully transformed the WLI of polyps with different morphologies and different types of lesions in the gastrointestinal tract into virtual IC-dyed images. The quality ratings of the real IC-dyed and AI images did not significantly differ concerning surface structure (AI vs IC: 3.08 vs 3.00), lesion border (3.04 vs 2.98), and overall contrast (3.14 vs 3.02) from 10 sets of images (10 AI images and 10 real IC-dyed images). Although the score depended significantly on the evaluator, the staining methods (AI or real IC) and evaluators had no significant interaction (P>0.05) with each other. Our results demonstrated the feasibility of employing AI model's virtual IC staining, increasing the possibility of being employed in daily practice. This novel technology may facilitate gastrointestinal lesion identification in the future.

Of mice and men: transcriptome-based clustering reveals molecular heterogeneity among mouse atherosclerosis models and partially reflects the diversity of human plaques

Abstract Background Mice are frequently used as model organisms to study atherosclerosis, but many treatments effective in mice do not successfully translate to humans. In a recent study, we clustered 654 human plaques based on transcriptomic data and described the categorisation into five distinct plaque types. We now hypothesise that the reasons for the failures of translating results from mouse models can be partially explained by the fact that mouse models do not reflect all the phenotypic variability we observe in human plaques. Methods We used transcriptomic data from the aortic samples (from arch to mid abdomen) of 102 different strains of inbred mice (n = 366). Those mice are F1 progenies from the Hybrid Mouse Diversity Panel (HMDP) crossed with C57BL/6J carrying dominant ApoE-Leiden and CETP transgenes. The gene expression data were normalised and batch effect was removed and clustered by a shared nearest neighbour modularity optimization-based clustering algorithm. Differential gene expression between the clusters was performed to reveal the difference in the biology of the clusters. The clusters were linked to physiological measurements and correlated to human transcriptomic-based plaque clusters. Results Transcriptional profiles of atherosclerotic lesions in mice could be categorised into four distinct clusters with specific gene expression fingerprints. The different clusters have a different activity for some pathways, including smooth muscle cell related pathways and metabolic pathways. Comparison with human clusters revealed that most mice strains (n = 287, 78%) correlated best with human plaque type #3 which is enriched in both inflammatory and fibrosis-related genes. This cluster represents about 20% of all human lesions but was found to be associated with severe cardiovascular events. A few mouse strains showed the highest correlations with two other human plaque types (e.g. BUB/Bnj for plaque type #1 and LG/J for plaque type #4), while the human plaque types #0 and #2 were much less reflected in analysed mouse models. Interestingly inflammatory pathways, important drivers in differentiating human clusters, only showed minor differences through all mice clusters. Conclusions Transcriptomic profiling of atherosclerotic lesions reveals that mice associate only partly with the human plaque phenotypes. The best associations were observed with those human plaques that correlate with a more severe clinical phenotype. The existence of different types of lesions observed in humans should be taken into account when choosing a mouse model to study atherosclerosis.