Application of Artificial Intelligence Methods on Osteoporosis Classification with Radiographs-A Systematic Review.

Osteoporosis is a complex endocrine disease characterized by a decline in bone mass and microstructural integrity. It constitutes a major global health problem. Recent progress in the field of artificial intelligence (AI) has opened new avenues for the effective diagnosis of osteoporosis via radiographs. This review investigates the application of AI classification of osteoporosis in radiographs. A comprehensive exploration of electronic repositories (ClinicalTrials.gov, Web of Science, PubMed, MEDLINE) was carried out in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement (PRISMA). A collection of 31 articles was extracted from these repositories and their significant outcomes were consolidated and outlined. This encompassed insights into anatomical regions, the specific machine learning methods employed, the effectiveness in predicting BMD, and categorizing osteoporosis. Through analyzing the respective studies, we evaluated the effectiveness and limitations of AI osteoporosis classification in radiographs. The pooled reported accuracy, sensitivity, and specificity of osteoporosis classification ranges from 66.1% to 97.9%, 67.4% to 100.0%, and 60.0% to 97.5% respectively. This review underscores the potential of AI osteoporosis classification and offers valuable insights for future research endeavors, which should focus on addressing the challenges in technical and clinical integration to facilitate practical implementation of this technology.

Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography.

Osteoporosis, marked by low bone mineral density (BMD) and a high fracture risk, is a major health issue. Recent progress in medical imaging, especially CT scans, offers new ways of diagnosing and assessing osteoporosis. This review examines the use of AI analysis of CT scans to stratify BMD and diagnose osteoporosis. By summarizing the relevant studies, we aimed to assess the effectiveness, constraints, and potential impact of AI-based osteoporosis classification (severity) via CT. A systematic search of electronic databases (PubMed, MEDLINE, Web of Science, ClinicalTrials.gov) was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 39 articles were retrieved from the databases, and the key findings were compiled and summarized, including the regions analyzed, the type of CT imaging, and their efficacy in predicting BMD compared with conventional DXA studies. Important considerations and limitations are also discussed. The overall reported accuracy, sensitivity, and specificity of AI in classifying osteoporosis using CT images ranged from 61.8% to 99.4%, 41.0% to 100.0%, and 31.0% to 100.0% respectively, with areas under the curve (AUCs) ranging from 0.582 to 0.994. While additional research is necessary to validate the clinical efficacy and reproducibility of these AI tools before incorporating them into routine clinical practice, these studies demonstrate the promising potential of using CT to opportunistically predict and classify osteoporosis without the need for DEXA.

Epithelioid Sarcoma of the Spine: A Review of Literature and Case Report.

Epithelioid sarcoma is a rare malignant mesenchymal tumor that represents less than 1% of soft-tissue sarcomas. Despite its slow growth, the overall prognosis is poor with a high rate of local recurrence, lymph-node spread, and hematogenous metastasis. Primary epithelioid sarcoma arising from the spine is extremely rare, with limited data in the literature. We review the existing literature regarding spinal epithelioid sarcoma and report a case of epithelioid sarcoma arising from the spinal cord. A 54 year old male presented with a 1-month history of progressive left upper-limb weakness and numbness. Magnetic resonance imaging (MRI) of the spine showed an enhancing intramedullary mass at the level of T1 also involving the left T1 nerve root. Systemic radiological examination revealed no other lesion at presentation. Surgical excision of the mass was performed, and histology was consistent with epithelioid sarcoma of the spine. Despite adjuvant radiotherapy, there was aggressive local recurrence and development of intracranial metastatic spread. The patient died of the disease within 5 months from presentation. To the best of our knowledge, spinal epithelioid sarcoma arising from the spinal cord has not yet been reported. We review the challenges in diagnosis, surgical treatment, and oncologic outcome of this case.

STING antagonists, synthesized via Povarov-Doebner type multicomponent reaction.

The cGAS-STING axis plays an important role in protecting higher organisms against invading pathogens or cancer by promoting the production of cytokines and interferons. However, persistent or uncontrolled activation of this pathway could lead to inflamed environments, which is detrimental to the host in the long run. Persistent activation of STING is known to be the cause of STING-associated vasculopathy with onset in infancy (SAVI) and activated STING is believed to play important roles in worsening various diseased states, such as traumatic brain injury, diabetic kidney disease and colitis. Thus, antagonists of STING could play important roles in managing various inflammatory diseases. Herein, we report the discovery of small molecule STING inhibitors, HSD1077 and analogs, which are facilely synthesized via a Povarov-Doebner type three-component reaction involving an amine, ketone, and aldehyde. Structure-activity relationship, SAR, studies indicate that both the 3H-pyrazolo[4,3-f]quinoline and pyrazole moieties in HSD1077 are critical for STING binding. At concentrations as low as 20 nM, HSD1077 suppressed type-1 interferon expression in both murine RAW macrophages and human THP-1 monocytes upon treatment with 100 µM 2'-3' cGAMP. Compounds containing the 3H-pyrazolo[4,3-f]quinoline moiety have the potential to be translated into anti-inflammatory compounds via STING inhibition.

Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review.

An accurate diagnosis of bone tumours on imaging is crucial for appropriate and successful treatment. The advent of Artificial intelligence (AI) and machine learning methods to characterize and assess bone tumours on various imaging modalities may assist in the diagnostic workflow. The purpose of this review article is to summarise the most recent evidence for AI techniques using imaging for differentiating benign from malignant lesions, the characterization of various malignant bone lesions, and their potential clinical application. A systematic search through electronic databases (PubMed, MEDLINE, Web of Science, and clinicaltrials.gov) was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 34 articles were retrieved from the databases and the key findings were compiled and summarised. A total of 34 articles reported the use of AI techniques to distinguish between benign vs. malignant bone lesions, of which 12 (35.3%) focused on radiographs, 12 (35.3%) on MRI, 5 (14.7%) on CT and 5 (14.7%) on PET/CT. The overall reported accuracy, sensitivity, and specificity of AI in distinguishing between benign vs. malignant bone lesions ranges from 0.44-0.99, 0.63-1.00, and 0.73-0.96, respectively, with AUCs of 0.73-0.96. In conclusion, the use of AI to discriminate bone lesions on imaging has achieved a relatively good performance in various imaging modalities, with high sensitivity, specificity, and accuracy for distinguishing between benign vs. malignant lesions in several cohort studies. However, further research is necessary to test the clinical performance of these algorithms before they can be facilitated and integrated into routine clinical practice.

Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis.

Spinal metastasis is the most common malignant disease of the spine. Recently, major advances in machine learning and artificial intelligence technology have led to their increased use in oncological imaging. The purpose of this study is to review and summarise the present evidence for artificial intelligence applications in the detection, classification and management of spinal metastasis, along with their potential integration into clinical practice. A systematic, detailed search of the main electronic medical databases was undertaken in concordance with the PRISMA guidelines. A total of 30 articles were retrieved from the database and reviewed. Key findings of current AI applications were compiled and summarised. The main clinical applications of AI techniques include image processing, diagnosis, decision support, treatment assistance and prognostic outcomes. In the realm of spinal oncology, artificial intelligence technologies have achieved relatively good performance and hold immense potential to aid clinicians, including enhancing work efficiency and reducing adverse events. Further research is required to validate the clinical performance of the AI tools and facilitate their integration into routine clinical practice.

Beyond diabetes mellitus: role of metformin in non-muscle-invasive bladder cancer.

INTRODUCTION: Usage of metformin is associated with improved survival in lung, breast and prostate cancer, and metformin has been shown to inhibit cancer cell growth and proliferation in in vitro studies. Given the lack of clinical data on metformin use in patients with bladder cancer, we aimed to evaluate the role of metformin in their oncological outcomes. METHODS: Medication use data from a prospectively maintained database of 122 patients with non-muscle-invasive bladder cancer treated with intravesical Bacille Calmette-Guerin (BCG), who were recruited under a randomised, double-blinded, controlled clinical trial, was collected and analysed. Kaplan-Meier curves were used to assess overall survival (OS) and disease-specific survival (DSS). RESULTS: At a median follow-up duration of 102 (range 3-357) months, 53 (43.4%) patients experienced disease recurrence and 21 (17.2%) experienced disease progression. There was no significant difference in mortality between patients with and without diabetes mellitus. There was significant difference in OS between patients without diabetes mellitus, patients with diabetes mellitus on metformin and patients with diabetes mellitus but not on metformin (p = 0.033); patients with diabetes mellitus on metformin had the best prognosis. Metformin use was associated with significantly lower DSS (p = 0.042). Other oral hypoglycaemic agents, insulin or statins were not associated with disease recurrence or progression. CONCLUSION: Metformin use was associated with improved oncological outcomes in patients with non-muscle-invasive bladder cancer treated with intravesical BCG. Prospective studies with larger patient populations are needed to validate the role of metformin as potential therapy for bladder cancer.

c-di-GMP Induces COX-2 Expression in Macrophages in a STING-Independent Manner.

Many pathogen-associated molecular patterns (PAMPs), such as lipopolysaccharide (LPS) and lipoteichoic acid, are potent immunostimulatory molecules and promote the expression of cyclooxygenase 2 (COX-2). While the production of COX-2, and ultimately prostaglandin E2, could be protective, persistent induction of COX-2 leads to inflamed environments that can result in septic shock and death. Bacterial derived cyclic dinucleotides (CDNs), c-di-GMP and c-di-AMP, are also PAMPs and have been shown to produce inflamed environments via the production of pro-inflammatory cytokines such as type I interferons. The well-characterized CDN immunostimulatory mechanism involves binding to stimulator of interferon genes (STING), which ultimately results in the phosphorylation of IRF3 or release of NF-κB to promote expression of type I IFN or pro-inflammatory cytokines. In this study, we sought to investigate if CDNs promote COX-2 expression. Using RAW macrophages as a model system, we reveal that c-di-GMP, but not c-di-AMP or the host-derived 2',3'-cGAMP, promotes COX-2 expression. Using analogues of CDNs, we show that the presence of two guanines and two 3',5'-phosphodiester linkages are requirements for the promotion of COX-2 expression by cyclic dinucleotides. Both c-di-GMP and LPS inductions of COX-2 expression in RAW macrophages are STING-independent and are regulated by Tpl2-MEK-ERK-CREB signaling; inhibitors of Tpl2, MEK, and ERK could attenuate COX-2 expression promoted by c-di-GMP. This work adds to the growing body of evidence that cyclic dinucleotides regulate pathways other than the STING-TBK1-IRF3 axis. Additionally, the differential COX-2 induction by c-di-GMP but not c-di-AMP or cGAMP suggests that the type and level of inflammation could be dictated by the nucleotide signature of the invading pathogen.

A STING-based fluorescent polarization assay for monitoring activities of cyclic dinucleotide metabolizing enzymes.

Cyclic dinucleoties, such as cGAMP, c-di-GMP and c-di-AMP, are fascinating second messengers with diverse roles in both prokaryotes and eukaryotes. Consequently there is a need for simple and inexpensive methods for profiling these compounds in biological media, monitoring their synthesis or degradation by enzymes and for identifying inhibitors of proteins that metabolize or bind to these dinucleotides. Since 2011, when we reported the first simple method to detect c-di-GMP (S. Nakayama, I. Kelsey, J. Wang, K. Roelofs, B. Stefane, Y. Luo, V. T. Lee and H. O. Sintim, J. Am. Chem. Soc., 2011, 133, 4856) or in 2014 when we revealed another surprisingly simple assay to detect c-di-AMP (J. Zhou, D. A. Sayre, Y. Zheng, H. Szmacinski and H. O. Sintim, Anal. Chem., 2014, 86, 2412), there have been efforts to develop assays to detect cyclic dinucleotides by others. However a unified and simple assay, which can be used for all cyclic dinucleotides is lacking. Here, we investigate STING binding by various fluorescein-labeled c-di-GMP, c-di-AMP and cGAMP, using fluorescent polarization (FP). Fluorescein-labeled c-di-GMP (F-c-di-GMP) was found to be the best binder of STING. This probe could be displaced by unlabeled cGAMP, c-di-AMP or c-di-GMP and hence it is a universal probe, which can be used to monitor all three dinucleotides. HPLC analysis was used to validate the new F-c-di-GMP-based FP assay.

Bacterial Cyclic Dinucleotides and the cGAS-cGAMP-STING Pathway: A Role in Periodontitis?

Host cells can recognize cytosolic double-stranded DNAs and endogenous second messengers as cyclic dinucleotides-including c-di-GMP, c-di-AMP, and cGAMP-of invading microbes via the critical and essential innate immune signaling adaptor molecule known as STING. This recognition activates the innate immune system and leads to the production of Type I interferons and proinflammatory cytokines. In this review, we (1) focus on the possible role of bacterial cyclic dinucleotides and the STING/TBK1/IRF3 pathway in the pathogenesis of periodontal disease and the regulation of periodontal immune response, and (2) review and discuss activators and inhibitors of the STING pathway as immune response regulators and their potential utility in the treatment of periodontitis. PubMed/Medline, Scopus, and Web of Science were searched with the terms "STING", "TBK 1", "IRF3", and "cGAS"-alone, or together with "periodontitis". Current studies produced evidence for using STING-pathway-targeting molecules as part of anticancer therapy, and as vaccine adjuvants against microbial infections; however, the role of the STING/TBK1/IRF3 pathway in periodontal disease pathogenesis is still undiscovered. Understanding the stimulation of the innate immune response by cyclic dinucleotides opens a new approach to host modulation therapies in periodontology.

Is preoperative withdrawal of aspirin necessary in patients undergoing elective inguinal hernia repair?

BACKGROUND: Antiplatelets such as aspirin are widely used to reduce thrombotic events in patients with various cardiovascular comorbidities. Continuing aspirin through noncardiac surgery has been shown to reduce risk of major adverse cardiac events (MACE) but may lead to higher bleeding complications. Inguinal hernia repair is a commonly performed surgical procedure among such patients, but no guideline exists regarding perioperative use of aspirin. OBJECTIVE: We aim to investigate the safety profile of aspirin continuation in the perioperative period in patients undergoing elective primary inguinal hernia repair. METHODS: All patients who underwent elective primary inguinal hernia repair from 2008 to 2015 and were on aspirin preoperatively were identified. The patients were divided into two groups: those who continued aspirin through the morning of the operation and those who were advised to stop aspirin therapy 3-7 days prior to operation. All patients underwent either open Lichtenstein mesh repair or laparoscopic total extra-peritoneal mesh repair. Outcomes measured include intraoperative blood loss, operative time, bleeding complications, wound site complications and MACE. RESULTS: Among 1841 patients who underwent elective primary inguinal hernia mesh repair, 142 (7.7 %) patients were on preoperative aspirin. Fifty-seven patients underwent laparoscopic repair, while 85 underwent open mesh repair. Twenty-seven out of fifty-seven (47.3 %) from the laparoscopic group and 55/85 (64.7 %) from the open group were instructed to stop aspirin (p = 0.040). There were no significant differences between those who stopped aspirin and those who continued in terms of intraoperative blood loss and operative timing. Immediate postoperative bleeding complications and follow-up wound complications were also similar between the two groups. Overall, there were no MACE among those who underwent laparoscopic repair. Three MACE were recorded in the open group (2 stopped vs. 1 continued; p = 0.943). There was no perioperative mortality. CONCLUSION: Continuation of aspirin is safe and should be preferred in patients with higher cardiovascular risk.

Long-term results of a randomized controlled trial of T2 versus T2-T3 ablation in endoscopic thoracic sympathectomy for palmar hyperhidrosis.

BACKGROUND: Despite good short-term results and patient satisfaction with endoscopic thoracic sympathectomy (ETS), there has been much debate on the level of sympathectomy for treatment of palmar hyperhidrosis (PH) in terms of long-term clinical outcomes. OBJECTIVE: The aim of the study was to analyze the long-term recurrence and compensatory hyperhidrosis (CH) rates of ETS, comparing single-level T2 against multi-level T2-T3 ablation in single patients. METHODS: Patients who had undergone treatment for PH with unilateral T2 and contralateral T2-T3 ablation in ETS were retrospectively reviewed. They were subjected to telephone interview using standardized set of interview script and questionnaire with a scoring system similar to hyperhidrosis disease severity scale. All patients were evaluated for comparison of symptom resolution, site and severity of CH, and satisfaction rates. To compare between T2 and T2-T3, the level of sympathectomy on one side is matched to the ipsilateral recurrence of PH and CH occurrence. RESULTS: Twenty-two patients with a mean age of 36.5 years could be reached. The mean follow-up was 8 years (range 38-153 months). The global recurrence rate for PH is 18%. CH was observed in 20 (91%) patients, and trunk compensation was the most common (18/22-82%), followed by lower limb (14/22-64%) and axilla (10/22-45%). Overall, 72.8% (16) of the patients were satisfied with the operation. Among the six patients who were not satisfied, two patients reported recurrence of symptoms, while four patients experienced some form of compensation. There was no absolute difference in the severity of sweating bilaterally for patients who reported recurrence of PH. The site and severity of CH were also bilaterally symmetrical for all patients. CONCLUSION: There was no difference in recurrence rates and CH between single-level (T2) and multi-level (T2-T3) ETSs in the long term.

Prognostic significance of lymph node density in squamous cell carcinoma of the tongue.

BACKGROUND: The prognostic significance of lymph node density in oral squamous cell carcinoma (OSCC) has been well recognized. However, its use in a specific subsite of the tongue has not been evaluated. The purpose of this study was to determine the prognostic significance of lymph node density in tongue squamous cell carcinoma (SCC). METHODS: A retrospective analysis of 99 patients with tongue SCC who underwent primary curative resection and neck dissection was conducted. Overall survival (OS) and disease-specific survival (DSS) was used to evaluate the prognostic significance of lymph node density. RESULTS: Lymph node density (using a cutoff of 0.06) was shown to be an independent predictor of OS and DSS. The impact of lymph node density on OS and DSS remained significant on multivariate analysis, whereas conventional nodal staging was not. An alternative staging strategy incorporating depth of invasion and lymph node density performs better than conventional TNM staging in predicting survival. CONCLUSION: Our data suggest that lymph node density is a reliable and applicable predictor of prognosis in patients with tongue SCC. © 2015 Wiley Periodicals, Inc. Head Neck 38: E859-E866, 2016.