Radiological Imaging Research Articles

The functional outcomes of tibia fractures treated with intramedullary tibia nail: A retrospective study

Background: The tibia nailing system is a type of implant used to stabilize a broken tibia bone. It is intended for long bone fracture fixation of tibia fractures, which include transverse, oblique, spiral, segmental, comminuted fractures, open and closed fractures etc. There is different nailing system available each with its own advantages and limitation. The type of system that is used will depends on the severity of the fracture, location of the fracture and the patient individual anatomy. In this study the Tibia Nail was to treat the fracture. Materials and Methods: Total 14 patients having age ranging from 26-57 years were treated by Tibia nails. Retrospective analysis of patients who underwent Tibia nail fixation having tibial shaft fractures was performed. Clinical evaluation was done for all patients with a mean follow-up of 1.5 years. Radiological images taken at the follow up after surgery were utilised to assess the outcome. VAS Score was used for analysis. Results: The patients that are included in the current study were available for evaluation after a mean of 12 months of follow-up. Radiological union in all patients were achieved in 6.1-7.2 weeks. Apart from this, the patients stay in clinical hospital for the 12.2 days of mean duration. The result reveals that overall, VAS Score at the final follow up was satisfactory. In addition, the full weight-bearing with low level of pain was reported after 9-12 month of surgery. Conclusion: The tibia nail is an effective treatment of fractures of the tibia bone.

An Observational Study on The Role of Magnetic Resonance Imaging in The Evaluation of Soft Tissue Tumors with Histopathological Correlation at Tertiary Care Centre

Background: The primary aim of this study is to evaluate the role of magnetic resonance imaging (MRI) in the assessment of soft tissue tumors with histopathological correlation at a tertiary care center. Methods: An observational study was conducted on 75 patients (n = 75) in the Department of Radiodiagnosis over 18 months. The targeted population comprised patients who presented to the Radiodiagnosis Department for radiological imaging of soft tissue tumors. Results: Out of 75 cases, 20% were found to have benign tumors, while 80% were found to have malignant tumors. The most frequent benign tumor was fibromatosis, with n = 10 cases (13.33%), and the most common malignant tumor was synovial sarcoma, with n = 14 cases (18.66%). The benign age group ranged from 11 to 20 years. T2-weighted heterogeneous hyperintensity was noted more frequently in malignant lesions, demonstrating a high positive predictive value; that is, 83% of malignant tumors exhibited changes on diffusion-weighted imaging/ apparent diffusion co efficient (DWI/ADC). Low-grade malignant lesions showed no restrictions. Most benign lesions displayed restrictions, with a high positive predictive value of 98.14%, specificity of 93.33%, and sensitivity of 88.33%. Conclusions: Soft tissue tumors can be detected and locally staged using MRI; thus, this technique has proven its value. Intralesional hemorrhage and calcification are two parameters that have been shown to have no substantial association with cancer. Due to its high sensitivity, MRI is a viable option for evaluating soft tissue tumors.

The Role of Small-Bowel Endoscopy in the Diagnosis and Management of Small-Bowel Neuroendocrine Tumours

Neuroendocrine tumours (NETs) are relatively rare neoplasms but represent one of the most frequent types of primary small-bowel tumours. Their incidence is rising, and this is most likely because of their more frequent early-stage detection, physician awareness, and increasing availability and use of imaging and small-bowel endoscopic techniques, such as video capsule endoscopy and device-assisted enteroscopy, which enable the detection, localisation, and histological sampling of previously inaccessible and underdiagnosed small-bowel lesions. This review summarises the role of small-bowel endoscopy in the diagnosis and management of small-bowel NETs to assist clinicians in their practice. Small-bowel endoscopy may play a complementary role in the diagnosis of these tumours alongside other diagnostic tests, such as biomarkers, conventional radiology, and functional imaging. In addition, small-bowel enteroscopy may play a role in the preoperative setting for the identification and marking of these tumours for surgical resection and the management of rare complications, such as small-bowel variceal bleeding, in cases of portal hypertension due to the encasement of mesenteric vessels in fibrotic small-bowel NETs.

Distinction of clinical features and microbiological methods between Chlamydia psittaci and Legionella pneumophila pneumonia confirmed by metagenomic next-generation sequencing

Objectives Detection and diagnosis of Chlamydia psittaci (C. psittaci) pneumonia is often overlooked due to conventional methods limitations and similarity to other atypical community acquired pneumonia (CAP). Using mNGS, we aimed to distinguish psittacosis from legionellosis for early C. psittaci pneumonia diagnosis and better prognosis. Methods Thirty-seven patients diagnosed with atypical CAP were enrolled in this retrospective study, including 14 C. psittaci pneumonia and 23 Legionella pneumophila (L. pneumophila) pneumonia. We collected and compared baseline, lab results, radiology imaging, conventional microbiological methods and more importantly, mNGS results of clinical samples, as well as the treatments and prognosis between psittacosis and legionellosis. Results Patients with C. psittaci and L. pneumophila had similar symptoms and were presented with high levels of inflammatory markers. However, patients with C. psittaci pneumonia were more likely to have exposure to birds or parrots [11 (78.6%) vs. 2 (8.7%), p < 0.001], had higher proportions of fever and chill (p = 0.015 and 0.035), higher levels of hemoglobin and albumin (p = 0.002 and 0.018) compared with those with L. pneumophila. Of 14 C. psittaci patients, only one had positive IgM antibody, with no positive cultures. Early identification of pathogens by mNGS method contributed to timely antibiotics’ adjustment and better outcomes then, yet with similar hospital mortality between two groups [7.1% (1/14) vs. 34.8% (8/23), p = 0.112]. Conclusion Early mNGS detection of atypical pathogens in multiple samples improves on traditional methods, promptly adjust empirical antimicrobial treatment to pathogen-targeted antibiotics, further improve prognosis.

A Review of Applications of Photon-Counting Computed Tomography in Head and Neck Imaging.

Photon-counting CT (PCCT), approved for clinical practice for over two years now, both improves on features of conventional energy-integrating detector (EID) CT and introduces new capabilities such as multienergy acquisition. PCCT is already transforming all domains of radiology, including head and neck imaging, and will become increasingly utilized in the approaching years. In this review, we first concisely explain the key physical principles distinguishing PCCT from EID-CT. We then discuss how the underlying physics leads to the novel features associated with PCCT, focusing on improved artifact reduction, spatial resolution, contrast-to-noise ratio, as well as multienergy acquisition and reduced contrast and radiation doses. Next, we review head and neck PCCT applications and comparison to EID-CT in dental imaging, sinus imaging, temporal bone, tumor imaging, and vascular imaging. Within the temporal bone applications, we explore normal anatomy, pathologic anatomy, and the appearance of protheses and implants. Representative imaging is provided to highlight differences between PCCT and EID-CT. Finally, we highlight areas of ongoing research in PCCT.

Radiologic imaging biomarkers in triple-negative breast cancer: a literature review about the role of artificial intelligence and the way forward

Abstract Breast cancer is one of the most common and deadly cancers in women. Triple-negative breast cancer (TNBC) accounts for approximately 10-15% of breast cancer diagnoses and is an aggressive molecular breast cancer subtype associated with important challenges in its diagnosis, treatment, and prognostication. This poses an urgent need for developing more effective and personalized imaging biomarkers for TNBC. Toward this direction, artificial intelligence (AI) for radiologic imaging holds a prominent role, leveraging unique advantages of radiologic breast images, being used routinely for TNBC diagnosis, staging, and treatment planning, and offering high-resolution whole-tumor visualization, combined with the immense potential of AI to elucidate anatomical and functional properties of tumors that may not be easily perceived by the human eye. In this review, we synthesize the current state-of-the-art radiologic imaging applications of AI in assisting TNBC diagnosis, treatment, and prognostication. Our goal is to provide a comprehensive overview of radiomic and deep-learning-based AI developments and their impact on advancing TNBC management over the last decade (2013-2024). For completeness of the review, we start with a brief introduction of AI, radiomics and deep learning. Next, we focus on clinically relevant AI-based diagnostic, predictive and prognostic models for radiologic breast images evaluated in TNBC. We conclude with opportunities and future directions for AI towards advancing diagnosis, treatment response predictions and prognostic evaluations for TNBC.

HPB SO07 - Update to the role of staging laparoscopies in stratifying patients by operability in perihilar cholangiocarcinoma

Abstract Background Radical resection of perihilar cholangiocarcinoma (pCCA) is only an option for the minority presenting at an early stage. Sensitivity of radiological imaging to detect liver and peritoneal metastases is insufficient. Our published 2017 cohort study demonstrated over a quarter of patients with no radiologically detectable metastatic disease were subsequently found to have unresectable disease by staging laparoscopy. However, less than 3% of these patients had preoperative PET-CT, which is now strongly recommended in new national guidance.Advances in CT and MRI sensitivity and increased PET-CT use demanded a reassessment of the need for staging laparoscopy in diagnostic assessment of resectability. Method All patients referred to a tertiary UK hepatobiliary centre with a new diagnosis of radiologically suspected or biopsy-proven pCCA from January 2020 to January 2024 were included (n=305). Patients were identified through a prospectively maintained cancer database. Electronic health records were interrogated for demographic data, preoperative radiological imaging, and details related to operative procedures. Those referred with, or subsequently found to have, any of the following conditions were excluded: recurrent pCCA, intrahepatic or distal cholangiocarcinoma, gallbladder cancer or benign hepatobiliary disease. Results All patients underwent CT chest, abdomen and pelvis. 194 (64%) received contrast MRI liver or MRCP. Based on these, 242 (79%) had locally advanced or metastatic cancer, comorbidities precluding resection or otherwise declined surgery. PET-CT was employed to investigate all remaining 63 patients, which discovered metastatic disease in 16 patients (25%). 47 patients proceeded to staging laparoscopy. This yielded metastatic or locally advanced disease in five patients (11%); a near-statistically significant drop compared to our previously published yield of 27.2% (p=0.060). Two (5%) had open-and-close laparotomies for irresectable disease, compared to 16 of 114 (14%) in our 2017 publication (p=0.14). Conclusion Technological advances of CT and MRI and use of PET-CT have vastly improved detection of irresectable pCCA. This study reinforces the merits of PET-CT in identifying occult disease, and we would encourage units that undertake these resections to utilise this imaging modality prior to undertaking staging laparoscopy. Nevertheless, peritoneal spread remains challenging to exclude radiologically, and diagnostic laparoscopy endures as a vital tool in the prevention of open-and-close laparotomies.

BN SO29 - Overinvestigation and unnecessary surgery for Gallbladder Polyps: An audit of compliance with ESGAR guidelines

Abstract Background Incidental gallbladder polyps are increasingly reported on abdominal ultrasound and have a theoretical association with increased risk of gallbladder cancer. Most gallbladder polyps are actually gallstones and there is little evidence for any survival benefit or reduced rates of gallbladder cancer in patients under ultrasound surveillance. ESGAR guidelines attempt to standardize and rationalize surveillance protocols, balancing the risks of missed early cancers versus the costs of surveillance investigations. This audit aims to assess the investigation and management of gallbladder polyps as per ESGAR guidelines at a single NHS trust. Method An audit was conducted at a single NHS Trust in England. Searches were conducted on the electronic patient record for patients coded for K82.8 (Gallbladder pathology: other) from 01/01/2022 to 31/12/2023. Patient records were examined for radiological imaging confirming diagnosis of gallbladder polyp. Data was analysed using Microsoft excel and compared with the 2021 ESGAR guidance on management of gallbladder polyps. Results 97 patients were included. All polyps were diagnosed with abdominal ultrasound. Patients had, on average, two ultrasounds. 51% were seen in outpatients clinic. 35 patients (36%) underwent laparoscopic cholecystectomy (including all patients with a polyp &amp;gt;10mm). Histology confirmed diagnosis of cholecystitis (69%), pseudopolyp (9%), gallbladder polyp (6%) and IPMN (3%). 74% (26/35) of patients that underwent cholecystectomy had biliary symptoms and 77% (20/26) had cholecystitis confirmed by histology. Despite having biliary symptoms at first assessment, 47% of polyp patients went on to have two ultrasounds and two clinic appointments. Conclusion The study confirms that the majority of ultrasound detected polyps are not neoplastic, and patients undergo multiple hospital visits, incurring significant non-therapeutic costs. Adherence to ESGAR guidelines is inconsistent. In the symptomatic cohort, however, a low threshold for laparoscopic cholecystectomy should be considered given the high likelihood of underlying stones.

HPB O05 - Changing paradigms in the management of severe acute pancreatitis: Focused multi-disciplinary working between surgeons and intensivists to mitigate organ failure in order to reduce mortality

Abstract Background Mortality was classically bimodal in severe acute pancreatitis and organ failure is the single most important factor in predicting outcome in severe acute pancreatitis. Initial interventions are supportive often requiring critical care. Subsequently treatments are required to manage necrosis and any organ recovery remains under threat. The outcomes and interventions from surgery and critical care are reviewed to determine how to balance organ failure and the need for necrosectomy in a modern multi-disciplinary tertiary care centre Method The Royal Liverpool provides a tertiary service to all patients with pancreatitis across Merseyside and North Wales. All patients that were transferred to critical care from 2018 – 2023 were analysed using the intensive care national audit and research centre database which contains information on organ failure. The patients with severe pancreatitis were then reviewed using electronic clinical notes and radiology images to determine clinical course and management. Results Of 134 patients, 48 (36%) were admitted locally, 85 (64%) transferred in, occurring 35% &amp;lt;2weeks, 29% 2-4weeks, 28% 4-6weeks and 8% &amp;gt;8weeks. 76 (57%) required necrosis intervention, 58 (43%) were conservatively managed. Mortality was 38% with 35% &amp;lt;4weeks, 22% 4-8weeks, 22% 8-12weeks, 22% &amp;gt;12weeks. No significant difference in mortality between conservative or interventional management (15 (45%) vs 18 (55%)) nor median age (58 vs 57.5 yrs). Survival related to number of failing organs (dead vs alive): nil organs: 10 patients vs 27 patients (20%vs32%), One: 11 vs 45 (22%vs45%), Two: 21 vs 9 (42%vs11%), Three: 8 vs 3 (16%vs4%), p&amp;lt;0.005. Conclusion Of patients deemed fit for ITU admission with necrotising pancreatitis, the classic paradigms of biphasic mortality no longer occur. Differences in mortality from intervention and age of patient has been negated by optimal ITU management for organ failure. For the initial phases and the intervention phases of management, ensuring degree of organ failure is key to survival. There is a significant change when two organs fail in mortality and this stresses the importance of holistic management. Our ITU promotes pancreas specific organ preservation measures of early enteral feeding, cessation/tailoring of antibiotics, early extubation/tracheostomy and most importantly multidisciplinary working

Empowering Data Sharing in Neuroscience: A Deep Learning De-identification Method for Pediatric Brain MRIs.

Privacy concerns, such as identifiable facial features within brain scans, have hindered the availability of pediatric neuroimaging datasets for research. Consequently, pediatric neuroscience research lags adult counterparts, particularly in rare disease and under-represented populations. The removal of face regions (image defacing) can mitigate this, however existing defacing tools often fail with pediatric cases and diverse image types, leaving a critical gap in data accessibility. Given recent NIH data sharing mandates, novel solutions are a critical need. To develop an AI-powered tool for automatic defacing of pediatric brain MRIs, deep learning methodologies (nnU-Net) were employed using a large, diverse multi-institutional dataset of clinical radiology images. This included multi-parametric MRIs (T1w, T1w-contrast enhanced, T2w, T2w-FLAIR) with 976 total images from 208 brain tumor patients (Children's Brain Tumor Network, CBTN) and 36 clinical control patients (Scans with Limited Imaging Pathology, SLIP) ranging in age from 7 days to 21 years old. Face and ear removal accuracy for withheld testing data was the primary measure of model performance. Potential influences of defacing on downstream research usage were evaluated with standard image processing and AI-based pipelines. Group-level statistical trends were compared between original (non-defaced) and defaced images. Across image types, the model had high accuracy for removing face regions (mean accuracy, 98%; N=98 subjects/392 images), with lower performance for removal of ears (73%). Analysis of global and regional brain measures (SLIP cohort) showed minimal differences between original and defaced outputs (mean r S=0.93, all p < 0.0001). AI-generated whole brain and tumor volumes (CBTN cohort) and temporalis muscle metrics (volume, cross-sectional area, centile scores; SLIP cohort) were not significantly affected by image defacing (all r S>0.9, p<0.0001). The defacing model demonstrates efficacy in removing facial regions across multiple MRI types and exhibits minimal impact on downstream research usage. A software package with the trained model is freely provided for wider use and further development (pediatric-auto-defacer; https://github.com/d3b-center/pediatric-auto-defacer-public). By offering a solution tailored to pediatric cases and multiple MRI sequences, this defacing tool will expedite research efforts and promote broader adoption of data sharing practices within the neuroscience community. AI = artificial intelligence; CBTN = Children's Brain Tumor Network; CSA = cross-sectional area; SLIP = Scans with Limited Imaging Pathology; TMT = temporalis muscle thickness; NIH = National Institute of Health; LH = left hemisphere; RH = right hemisphere.

Development of Streptococcus pyogenes pneumnonia and pleural empyema post-chickenpox infection in a 5-year-old child: A case report

Background: The introduction of the varicella vaccine has led to a significant decrease in pediatric varicella-induced invasive Streptococcus pyogenes (group A streptococcal [GAS]) infections. However, the development of a pleural empyema following a chickenpox infection is a rare complication in pediatric patients. Case presentation: In this report, we present a 5-year-old male patient who presented to the emergency department with a deteriorating course two days after a chickenpox infection. The patient complained of high-grade documented fever, a congested throat, abdominal pain, shortness of breath, and most importantly, decreased air entry on the right side of the chest, along with the presence of crepitations. Such a deteriorated clinical picture suggested the presence of an infectious cause. The patient’s physical examination and radiological imaging provided evidence for the presence of lower right-sided lobar pneumonia. On the second day of hospitalization, the patient showed worsening respiratory distress, prompting further investigations that confirmed the development of a right-sided pleural empyema through radiological imaging. Pediatric surgery consultation was requested, and 500 cc of pus was drained following the insertion of a chest tube, which was later sent for analysis. The patient’s clinical picture improved significantly following this intervention. Due to the severity of his condition, the patient was transferred to the pediatric intensive care unit (PICU) for close monitoring. After one night in the PICU, during which his condition stabilized and oxygen therapy was gradually weaned off, the patient continued to improve on the general ward. Daily assessments and laboratory tests showed decreasing inflammatory markers and resolution of symptoms. Following three days of admission and confirmation of no underlying immunologic deficiency, the patient was discharged home with appropriate antibiotic therapy and follow-up instructions. Discussion: Similar cases have been sporadically documented in pediatric literature, with notable examples involving older patients. The pathophysiology involves complex immune interactions and virulence factors of GAS, contributing to severe outcomes such as pleural effusion. Conclusion: In this case, the 5-year-old patient experienced a severe progression from chickenpox to pleural empyema but ultimately improved following prompt medical intervention and chest tube drainage. The patient was discharged after a successful recovery, highlighting the efficacy of early recognition and treatment in managing such complications.

Breast metastasis from large cell neuroendocrine carcinoma of the lung: a case report

Abstract Background Primary breast carcinoma is far more common than breast metastases. Common breast metastases usually come from lymphoma, leukemia, melanoma, and ovarian cancers. Breast metastases from neuroendocrine carcinomas are considered an exceeding rare entity. It has been reported in the literature that the pathological presentation of this particular metastatic tumor is very challenging as it shares many morphological characteristics with primary breast carcinoma. Case presentation We report a case of a patient with large cell neuroendocrine carcinoma of the lung metastasizes to both breasts. The patient was initially presented with brain metastasis of unknown origin. Further radiological imaging workup showed multiple bilateral breast masses and bilateral lymphadenopathy, which raised concern for secondary lymphoma of the breast. The histopathology of this case was challenging, particularly when triple negative invasive ductal carcinoma diagnosis had been made. Multidisciplinary meetings between medical oncologists, radiologists, and pathologists profoundly helped confirming the diagnosis of metastatic large cell neuroendocrine tumor to the breast. Conclusion Large cell neuroendocrine carcinoma of the lung is a relatively uncommon diagnosis with generally poor prognosis. Large cell neuroendocrine carcinoma that metastasizes to the breast is even scarcer. Correlation between clinical assessment, radiological imaging, and pathological evaluation is the key in making such an unusual and complex diagnosis. Additionally, radiologists should be aware of metastatic presentations of the breast and avoid confusion with mimicking benign entities or primary breast carcinomas.

BIOM-04. SINGLE-CELL RNA SEQUENCING PROTOCOL OF THE HUMAN METASTATIC PROSTATE SPINE TUMOR MICROENVIRONMENT

Abstract INTRODUCTION 90% of spine tumor patients can develop metastases with debilitating complications, such as sensorimotor dysfunction, paralysis, and spinal instability. As spine tumor patients have limited eligibility to participate in clinical trials and have heterogenous tumor pathology, there is a distinct lack of therapeutic targets and prognostication markers of disease. Thus, there is a distinct need for molecular profiling of spine tumors. OBJECTIVE We describe an OR-to-bench-top processing of spine tumors for single-cell omic studies, with samples from a metastatic prostate cancer patient to demonstrate the ability to compare molecular markers and microenvironments of difficult-to-process spine tumors and adjacent normal tissue. METHODS Under IRB protocol #Pro00101198, patients undergoing spine surgery with the Department of Neurosurgery at Duke University were consented for tissue collection. Vertebral osseous metastases and adjacent normal tissue were confirmed histologically (H&amp;E, immunohistochemistry) and radiologically (MRI, PET, CT, and x-ray). Tissues were manually and enzymatically homogenized in serum-free media with collagenase A and DNAse I to obtain a single cell suspension. Cells were then filter sterilized, erythrolyzed, counted to determine live-death ratio, resuspended to 10-20 million cells per mL, then cryopreserved for downstream standard library preparation for single-cell sequencing using the 10X genomics platform. Downstream analysis was performed using Seurat pipeline, InferCNV analysis, and SingleR. RESULTS P404S and PSA expression confirmed tumor was prostate in origin. Radiological imaging and H&amp;E staining confirmed the presence of T7 osseous metastasis. Uniform manifold approximation and project (UMAP) plots identified 12 unique clusters of immune cell subpopulations between normal and tumorous vertebrae, with their own subsets of differentially expressed genes. CONCLUSION We have developed a protocol to generate granular single cell molecular profiling for spine tumors and metastases. Applications of this protocol can aid in identifying therapeutic targets, molecular predictors of disease, and potentiate increased eligibility of patients for clinical trials.

NIMG-27. RADIOMETHYLOMICS FOR NON-INVASIVE PREDICTION OF TUMOR PHENOTYPES AND SURVIVAL IN GLIOBLASTOMA

Abstract BACKGROUND DNA methylation profiling has become a pivotal tool in neuro-oncology. However, little is known about the impact of methylation profiling on radiological imaging in IDH-wildtype glioblastoma (GBM). This study explored the potential of radiomics to non-invasively predict molecular characteristics based on the methylation profiling of GBM. METHODS This study included a multi-sampling cohort of 32 patients with 113 samples and a single-sampling cohort of 87 patients with 87 samples, which underwent genome-wide methylation analysis and were classified as GBM by the DKFZ/Heidelberg CNS tumor classifier. We performed two different methylation-based deconvolution analyses. Deconvolution 1 estimated the fractions of tumor subtypes (RTK_I, RTK_II, MES_TYP, and MES_ATYP) and cell types in the microenvironment. Deconvolution 2 inferred the abundance of malignant cell states (stem-like and differentiated cell components) and cell types in the microenvironment. We derived 6084 radiomic features from preoperative multi-parametric MRI in each patient. RESULTS In the multi-sampling cohort, Deconvolution 1 and Deconvolution 2 demonstrated that tumor subclass components and immune components exhibited heterogeneous distribution across samples within patients; however, the stem-like to differentiated cell ratio was preserved across samples within patients. In the entire cohort, patients with tumors exhibiting a high proportion of the stem-like component, defined as stem-like tumors, had significantly shorter overall survival. Stem-like tumors exhibited significantly higher levels of the RTK_I component and lower proportions of the RTK_II component compared to non-stem-like tumors. A machine learning model that utilizes support vector machines to classify stem-like tumors using radiomic features achieved a mean AUC of 0.71 (95% confidence interval: 0.56–0.85) in nested cross-validation. CONCLUSIONS We showed that radiomethylomics can be used to predict tumor composition and patient survival from preoperative MRI in GBM. Based on these promising results we will increase our power with additional samples to facilitate a personalized approach to GBM management.

Management of critically ill children with acute necrotizing encephalitis during an H1N1 outbreak in a tertiary pediatric hospital: a series of three cases and literature review.

Acute necrotizing encephalopathy (ANE) is a severe neurologic condition that is diagnosed clinically and upon specific radiologic imaging. Medical treatment of this condition is uncertain, and timing is likely very important to minimize brain damage and systemic inflammation. The present case series describes three patients suffering from ANE secondary to influenza A/H1N1 infection during a recent outbreak, treated with increasingly aggressive anti-inflammatory approach, and with significantly different outcomes.

RADT-29. ASSOCIATION OF ANATOMIC PROXIMITY OF BRAIN PARENCHYMAL METASTASIS TO THE CSF SPACE AND UPFRONT STEREOTACTIC RADIOSURGERY TO SUBSEQUENT LEPTOMENINGEAL METASTASIS DEVELOPMENT IN BRAIN METASTATIC NSCLC

Abstract OBJECTIVE The most common solid systemic malignancies that metastasize to the leptomeninges are lung cancer, especially non-small cell lung cancer (NSCLC). Generally, patients develop leptomeningeal metastasis (LM) subsequent to brain parenchymal metastases (BM). However, its predictors remain unknown. Hence, the present study was carried out to explore the predictors of LM in brain metastatic NSCLC patients. METHODS The final analysis included 112 pathologically definite NSCLC patients with BMs treated in our center between July 1, 2014, and December 30, 2020. Of 112, one-half had LM. Three radiologists analyzed radiologic images independently. Anatomic proximity of BMs to the CSF space (dural-based metastases, periventricular or major CSF cisterns such as basal cisterns and cisterna magna) was measured and stratified into CSF space invading/bordering and detached lesions. The endpoint was the occurrence of LM or death, whichever occurred first. Univariable and multivariable logistic regressions were performed to identify potential predictors for LM. RESULTS Of 112, 48 (42.8%) were males, and 64 (57.2%) were females. Most patients (90.2%) had adenocarcinoma histology. The median follow-up time was 10.1 months (IQR, 4.2-18.4 months) following BM diagnosis. Univariate logistic regression analysis demonstrated that histology (OR 0.084, 95%CI 0.004-0.461, P=0.020), EGFR/ALK/ROS1 mutation (OR 3.868, 95%CI 1.583-10.079, P=0.003), CSF space invading/bordering lesion (OR 10.278, 95%CI 4.203-27.375, P=0.000), extracranial metastasis control (OR 2.7, 95%CI 1.191-6.309, P=0.019), upfront stereotactic radiosurgery (SRS) (OR 0.024, 95%CI 0.001-0.12, P=0.000), and target therapy (OR 4.476, 95%CI 1.877-11.464, P=0.001) were the potential predictor. CSF space invading/bordering lesion (OR 7.443, 95%CI 2.099-32.853, P=0.003) and upfront SRS (OR 0.035, 95%CI 0.002-0.212, P=0.003) remained statistically significant in the multivariate logistic regression analysis. CONCLUSION CSF space invading/bordering BMs may increase the risk of LM development in brain metastatic NSCLC patients, while upfront SRS targeting BM potentially decreases the risk. A prospective study is warranted to affirm.

Bridging the gap: opportunities, challenges, and future directions for teleradiology in rural healthcare

Teleradiology, the electronic transmission of radiological images and data for diagnostic purposes, holds significant promise for improving healthcare access in rural and underserved regions. This review explores the opportunities and challenges of implementing teleradiology in rural settings, where limited access to radiology services exacerbates healthcare disparities. Teleradiology offers multiple benefits, including improved access to timely diagnostics, enhanced decision-making, and cost savings for rural patients who would otherwise need to travel to urban centers for radiology services. It has shown positive outcomes globally, with examples in India, Mali, the Democratic Republic of Congo, and Brazil, demonstrating its feasibility and potential to reduce geographic health inequities. However, implementing teleradiology in these settings faces several challenges, such as technological limitations, workforce shortages, regulatory and legal barriers, data security concerns, and cultural acceptance issues. Solutions and recommendations include investments in infrastructure, workforce training, supportive regulatory frameworks, secure data management, and adaptable telehealth models that consider socioeconomic factors in rural areas. By addressing these challenges, stakeholders can enhance the impact of teleradiology in rural healthcare systems, ultimately contributing to reduced disparities and improved healthcare outcomes. This review provides a comprehensive overview of the current landscape and suggests actionable pathways for advancing teleradiology in rural settings worldwide.

Clinical application of machine-based deep learning in patients with radiologically presumed adult-type diffuse glioma grades 2 or 3

Abstract BACKGROUND Radiologically presumed diffuse lower-grade glioma (dLGG) are typically non or minimal enhancing tumors, with hyperintensity in T2w-images. The aim of this study was to test the clinical usefulness of deep learning (DL) in IDH mutation prediction in patients with radiologically presumed dLGG. METHODS 314 patients were retrospectively recruited from six neurosurgical departments in Sweden, Norway, France, Austria, and the United States. Collected data included patients’ age, sex, tumor molecular characteristics (IDH, and 1p19q), and routine preoperative radiological images. A clinical model was built using multivariable logistic regression with the variables age and tumor location. DL models were built using MRI data only, and four DL architectures used in glioma research. In the final validation test, the clinical model and the best DL model were scored on an external validation cohort with 155 patients from the Erasmus Glioma Dataset. RESULTS The mean age in the recruited and external cohorts was 45.0 (SD 14.3) and 44.3 years (SD 14.6). The cohorts were rather similar, except for sex distribution (53.5% vs 64.5% males, p-value 0.03) and IDH status (30.9% vs 12.9% IDH wild-type, p-value &amp;lt;0.01). Overall, the area under the curve for the prediction of IDH mutations in the external validation cohort was 0.86, 0.82, and 0.87 for the clinical model, the DL model, and the model combining both models’ probabilities. CONCLUSIONS In their current state, when these complex models were applied to our clinical scenario, they did not seem to provide a net gain compared to our baseline clinical model.

Extracellular Histones Profiles of Pediatric H3K27-Altered Diffuse Midline Glioma.

Diffuse midline glioma, H3 K27-altered (DMG) is a fatal tumour that arises in the midline structures of the brain. When located in the pons, it is more commonly referred to as diffuse intrinsic pontine glioma (DIPG). DMG/DIPG is usually diagnosed when children are < 10 years, and it has a median overall survival of < 12 months after diagnosis. Radiological imaging is still the gold standard for DIPG diagnosis while the use of biopsy procedures led to our knowledge on its biology, such as with the identification of the canonical histone H3K27M mutation. However, the need to improve survival encourages the development of non-invasive, fast and inexpensive assays on biofluids for optimizing molecular diagnoses in DMG/DIPG. Here, we propose a rapid, new, imaging and epigenetics-based approach to diagnose DMG/DIPG in the plasma of paediatric patients. A total of 20 healthy children (mean age: 10.5 years) and 24 children diagnosed with DMG/DIPG (mean age: 8.5 years) were recruited. Individual histones (H2A, H2B, H3, H4, macroH2A1.1 and macroH2A1.2), histone dimers and nucleosomes were assayed in biofluids by means of a new advanced flow cytometry ImageStream(X)-adapted method. We report a significant increase in circulating histone dimers and tetramers (macroH2A1.1/H2B versus control: p value < 0.0001; macroH2A1.2/H2B versus control: p value < 0.0001; H2A/H2B versus control: p value < 0.0001; H3/H4 versus control: p value = 0.008; H2A/H2B/H3/H4 versus control: p value < 0.0001) and a significant downregulation of individual histones (H2B versus control: p value < 0.0001; H3 versus control: p value < 0.0001; H4 versus control: p value < 0.0001). Moreover, histones were also detectable in the cerebrospinal fluid (CSF) of patients with DMG/DIPG and in the supernatant of SF8628, OPBG-DIPG002 and OPBG-DIPG004 DMG/DIPG cell lines, with patterns mostly similar to each other, but distinct compared to blood plasma. In summary, we identified circulating histone signatures able to detect the presence of DMG/DIPG in biofluids of children, using a rapid and non-invasive ImageStream(X)-based imaging technology, which may improve diagnosis and benefit the patients.

Multiscale attention-over-attention network for retinal disease recognition in OCT radiology images

Retinal disease recognition using Optical Coherence Tomography (OCT) images plays a pivotal role in the early diagnosis and treatment of conditions. However, the previous attempts relied on extracting single-scale features often refined by stacked layered attentions. This paper presents a novel deep learning-based Multiscale Feature Enhancement via a Dual Attention Network specifically designed for retinal disease recognition in OCT images. Our approach leverages the EfficientNetB7 backbone to extract multiscale features from OCT images, ensuring a comprehensive representation of global and local retinal structures. To further refine feature extraction, we propose a Pyramidal Attention mechanism that integrates Multi-Head Self-Attention (MHSA) with Dense Atrous Spatial Pyramid Pooling (DASPP), effectively capturing long-range dependencies and contextual information at multiple scales. Additionally, Efficient Channel Attention (ECA) and Spatial Refinement modules are introduced to enhance channel-wise and spatial feature representations, enabling precise localization of retinal abnormalities. A comprehensive ablation study confirms the progressive impact of integrated blocks and attention mechanisms that enhance overall performance. Our findings underscore the potential of advanced attention mechanisms and multiscale processing, highlighting the effectiveness of the network. Extensive experiments on two benchmark datasets demonstrate the superiority of the proposed network over existing state-of-the-art methods.