Treatment Decisions Research Articles

Ethical challenges in health care during collective hunger strikes in public or occupied spaces.

Public collective hunger strikes take place in complex social and political contexts, require medical attention and present ethical challenges to physicians. Empirical research, the ethical debate to date and existing guidelines by the World Medical Association focus almost exclusively on hunger strikes in detention. However, the public space differs substantially with regard to the conditions for the provision of health care and the diverse groups of healthcare providers or stakeholders involved. By reviewing empirical research on the experience of health professionals with public collective hunger strikes, we identified the following ethical challenges: (1) establishment of a trustful physician-striker relationship, (2) balancing of medico-ethical principles in medical decision-making, (3) handling of loyalty conflicts and (4) preservation of professional independence and the risk of political instrumentalization. Some of these challenges have already been described and discussed, yet not contextualized for public collective strikes, while others are novel. The presence of voluntary physicians may offer opportunities for a trustful relationship and, hence, for ethical treatment decisions. According to our findings, it requires more attention to how to realise autonomous medical decisions in the complex context of a dynamic, often unstructured and politically charged setting, which ethical norms should shape the professional role of voluntary physicians, and what is the influence of the hunger strikers'collective on individual healthcare decisions. Our article can serve as a starting point for further ethical discussion. It can also provide the basis for the development of potential guidelines to support health professionals involved in public collective hunger strikes.

Metabolic pathway-based subtyping reveals distinct microenvironmental states associated with diffuse large B-cell lymphoma outcomes.

Diffuse large B-cell lymphoma (DLBCL) is a biologically and clinically heterogeneous disease that requires personalized clinical treatment. Assigning patients to different risk categories and cytogenetic abnormality and genetic mutation groups has been widely applied for prognostic stratification of DLBCL. Increasing evidence has demonstrated that dysregulated metabolic processes contribute to the initiation and progression of DLBCL. Metabolic competition within the tumor microenvironment is also known to influence immune cell metabolism. However, metabolism- and immune-related stratification has not been established. Here, 1660 genes involved in 84 metabolic pathways were selected and tested to establish metabolic clusters (MECs) of DLBCL. MECs established based on independent lymphoma datasets distinguished different survival outcomes. The CIBERSORT algorithm and EcoTyper were applied to quantify the relative abundance of immune cell types and identify variation in cell states for 13 lineages comprising the tumor micro environment among different MECs, respectively. Functional characterization showed that MECs were an indicator of the immune microenvironment and correlated with distinctive mutational characteristics and oncogenic signaling pathways. The novel immune-related MECs exhibited promising clinical prognostic value and potential for informing DLBCL treatment decisions.

Factors Influencing Patient Decision-Making in the Treatment of Muscle-Invasive Bladder Cancer

BACKGROUND: In 2023, an estimated 82,290 individuals were diagnosed with bladder cancer in the United States. For muscle-invasive bladder cancer (MIBC), the American Urological Association recommends offering radical cystectomy with cisplatin-based neoadjuvant chemotherapy. However, patients are increasingly requesting alternative treatments. OBJECTIVE: To describe factors influencing selection of radical cystectomy with cisplatin-based neoadjuvant chemotherapy (NAC + RC), radical cystectomy monotherapy (RC), or tri-modality therapy (TMT) among patients with MIBC. METHODS: Individual, semi-structured phone interviews were conducted with 18 adults who underwent MIBC treatment at the University of North Carolina, recruiting six patients each from three treatment groups: 1) NAC + RC, 2) RC, and 3) TMT. Interview transcriptions were qualitatively analyzed using QSR NVivo, with major themes and sub-themes extracted. Patients also completed the Shared Decision-Making Questionnaire (SDM-Q-9; range 0–100). RESULTS: Concern for survival and risks, quality of life, and varied patient preferences for involvement influenced the decision-making process. Concern surrounding sexual function, bladder preservation, and urostomy bags drove patients towards TMT. High levels of shared decision-making were observed overall, with a median SDM-Q-9 score of 95 (IQR 89–100). Patients undergoing TMT reported the highest median SDM-Q-9 score (97, IQR 94–100), while those receiving radical cystectomy alone had the lowest (66, IQR 37–96). CONCLUSIONS: Patients with MIBC described a multifaceted treatment decision-making process, highlighting key influences, concerns, and unmet needs. Understanding this process can help address misconceptions and align treatment choices with patient goals. Physicians can use these insights to engage in shared decision-making, ultimately improving patient experiences and outcomes.

Deep learning approach to identifying cancer subtypes using convolutional hyperbolic k nearest neighbours method

ABSTRACT To properly treat a cancer patient, radiologists must first review a large volume of cancer images. Based on this information, the appropriate treatment is prescribed. However, the manual cancer image classification is susceptible to errors due to the intricate nature of different tumours. This study introduces a novel convolutional hyperbolic k-nearest neighbours (ChkNN) method to address this challenge. Using deep learning algorithms, convolutional neural networks (CNN), hyperbolic mapping, and hyperbolic geometry, the proposed method effectively extracts and embeds features in hyperbolic space. This embedding not only enhances classification accuracy rates up to 99.92% but also facilitates informed decision-making in cancer diagnosis. The ChkNN method holds immense potential for radiologists worldwide, empowering them to make more accurate and timely treatment decisions, ultimately improving patient outcomes.

Enhancing patient-clinician collaboration during treatment decision-making: study protocol for a community-engaged, mixed method hybrid type 1 trial of collaborative decision skills training (CDST) for veterans with psychosis

BackgroundPatient participation in treatment decision making is a pillar of recovery-oriented care and is associated with improvements in empowerment and well-being. Although demand for increased involvement in treatment decision-making is high among veterans with serious mental illness, rates of involvement are low. Collaborative decision skills training (CDST) is a recovery-oriented, skills-based intervention designed to support meaningful patient participation in treatment decision making. An open trial among veterans with psychosis supported CDST’s feasibility and demonstrated preliminary indications of effectiveness. A randomized control trial (RCT) is needed to test CDST’s effectiveness in comparison with an active control and further evaluate implementation feasibility.MethodsThe planned RCT is a hybrid type 1 trial, which will use mixed methods to systematically evaluate the effectiveness and implementation feasibility of CDST among veterans participating in a VA Psychosocial Rehabilitation and Recovery Center (PRRC) in Southern California. The first aim is to assess the effectiveness of CDST in comparison with the active control via the primary outcome, collaborative decision-making behavior during usual care appointments between veterans and their VA mental health clinicians, and secondary outcomes (i.e., treatment engagement, satisfaction, and outcome). The second aim is to characterize the implementation feasibility of CDST within the VA PRRC using the Practical Robust Implementation and Sustainability Model framework, including barriers and facilitators within the PRRC context to support future implementation.DiscussionIf CDST is found to be effective and feasible, implementation determinants gathered throughout the study can be used to ensure sustained and successful implementation at this PRRC and other PRRCs and similar settings nationally.Trial registrationClinicalTrials.gov NCT04324944. Registered on March 27, 2020. Trial registration data can be found in Appendix 1.

A dynamic nomogram for predicting in-hospital major adverse cardiovascular and cerebrovascular events in patients with both coronary artery disease and atrial fibrillation: a multicenter retrospective study.

Patients with both coronary artery disease (CAD) and atrial fibrillation (AF) are at a high risk of major adverse cardiovascular and cerebrovascular events (MACCE) during hospitalization. Accurate prediction of MACCE can help identify high-risk patients and guide treatment decisions. This study was to elaborate and validate a dynamic nomogram for predicting the occurrence of MACCE during hospitalization in Patients with CAD combined with AF. A total of 3550 patients with AF and CAD were collected. They were randomly assigned to a training group and a validation group in a ratio of 7 : 3. Univariate and multivariate analyses were utilized to identify risk factors (P < 0.05). To avoid multicollinearity and overfit of the model, the least absolute shrinkage and selection operator was conducted to further screen the risk factors. Calibration curves, receiver operating characteristic curves, and decision curve analyses are employed to assess the nomogram. For external validation, a cohort consisting of 249 patients was utilized from the Medical Information Mart for Intensive Care IV Clinical Database, version 2.2. Eight indicators with statistical differences were screened by univariate analysis, multivariate analysis, and the least absolute shrinkage and selection operator method (P < 0.05). The prediction model based on eight risk factors demonstrated good prediction performance in the training group, with an area under the curve (AUC) of 0.838. This performance was also maintained in the internal validation group (AUC = 0.835) and the external validation group (AUC = 0.806). Meanwhile, the calibration curve indicates that the nomogram was well-calibrated, and decision curve analysis revealed that the nomogram exhibited good clinical utility. The nomogram we constructed may aid in stratifying the risk and predicting the prognosis for patients with CAD and AF.

Enhanced classification of left ventricular hypertrophy in cardiac patients using extended Siamese CNN.

Left Ventricular Hypertrophy (LVH) is the thickening of the left ventricle wall of the heart. The objective of this study is to develop a novel approach for the accurate assessment of Left Ventricular Hypertrophy (LVH) severity, addressing the limitations of traditional manual grading systems.&#xD;&#xD;Approach: We propose the Multi-purpose Siamese Weighted Euclidean Distance Model (MSWED), which utilizes convolutional Siamese neural networks and zero-shot/few-shot learning techniques. Unlike traditional methods, our model introduces a cutoff distance-based approach for zero-shot learning, enhancing accuracy. We also incorporate a weighted Euclidean distance targeting informative regions within echocardiograms.&#xD;&#xD;Main Results: We collected comprehensive datasets labeled by experienced echocardiographers, including Normal heart and various levels of LVH severity. Our model outperforms existing techniques, demonstrating significant precision enhancement, with improvements of up to 13\% for zero-shot and few-shot learning approaches.&#xD;&#xD;Significance: Accurate assessment of LVH severity is crucial for clinical prognosis and treatment decisions. Our proposed MSWED model offers a more reliable and efficient solution compared to traditional grading systems, reducing subjectivity and errors while providing enhanced precision in severity classification.

Adverse clinical events after percutaneous coronary intervention in very elderly patients with acute coronary syndrome.

The number of very elderly patients with acute coronary syndrome (ACS) is increasing. Therefore, owing to the need for evidence-based treatment decisions in this population, this study aimed to examine the clinical outcomes during 1year after percutaneous coronary intervention (PCI) in very elderly patients with ACS. This prospective multicenter observational study comprised 1337 patients with ACS treated with PCI, classified into the following four groups according to age: under 60, <60years; sexagenarian, ≥60 and <69years; septuagenarian, ≥70 and <80years; and very elderly, ≥80years. The primary endpoint was a composite of the first occurrence of all-cause death, nonfatal myocardial infarction, nonfatal stroke, and bleeding within 1year after PCI. We used the sexagenarian group as a reference and compared outcomes with those of the other groups. The incidence of the primary endpoint was significantly higher in the very elderly group than in the sexagenarian group (36 [12.7%] vs. 24 [6.9%], respectively; hazard ratio, 1.94; 95% confidence interval: 1.16-3.26; p = 0.012). The higher incidence of the primary endpoint was primarily driven by a higher incidence of all-cause death. When the multivariable analysis was used to adjust for patient characteristics and comorbidities, no difference was observed in the primary endpoint between the very elderly and sexagenarian groups (p = 0.96). The incidence of adverse events after PCI, particularly all-cause death, in very elderly patients with ACS was high. However, if several confounders are adjusted, comparable outcomes may be expected within 1year after PCI among this population.

Developing a core outcome set for acetabular fractures: a systematic review protocol

BackgroundClinical trials investigating acetabular fractures are heterogeneous in their investigated outcomes and their corresponding measurements. Standardization may facilitate comparability and pooling of research results, which would lead to an increase in knowledge about the optimal treatment of acetabular fractures, resulting in long-term evidence-based treatment decisions and improvements in patient care. The aim of this systematic review is to identify the reported outcomes and their measurements from studies on treatments for acetabular fractures to develop a core outcome set which contains the most relevant outcome measures to be included in future studies.MethodsStudies published in English and German including patients aged 16 years and older, with a surgically treated acetabular fracture, will be included. Studies with nonsurgical treatment, pathologic fractures, polytraumatized patients, and patients younger than 16 years of age will be excluded because other outcomes may be of interest in these cases. Any prospective and retrospective study will be included. Systematic reviews will be excluded, but their included studies will be screened for eligibility. The literature will be searched on MEDLINE, CENTRAL, Web of Science, ClinicalTrials.gov, and WHO ICTRP. Risk of selective reporting of outcomes will be assessed using the Outcome Reporting Bias in Trials classification system. Heterogeneously defined outcomes that measure the same outcome will be grouped and subsequently categorized into outcome domains using the taxonomy of the Core Outcome Measures in Effectiveness Trials Initiative.DiscussionIt is expected that a high number of studies will be included, and many outcomes will be identified using different definitions and measurement instruments. A limitation of this systematic review is that only previously investigated outcomes will be detected, thus disregarding potentially relevant outcomes.Systematic review registrationPROSPERO CRD42022357644

Endocrinology application of molecular imaging: current role of PET/CT.

In recent years, nuclear medicine imaging methods have proven to be of paramount importance in a wide variety of diseases, particularly in oncology, where they are crucial for assessing the extent of disease when conventional methods fall short. Moreover, nuclear imaging modalities are able to better characterize lesions using target agents related to specific pathways (e.g. glucose metabolism, cellular proliferation, amino acid transport, lipid metabolism, specific receptor ligands). The clinical presentation of endocrine diseases encompasses a broad spectrum of sign and symptoms. Moreover, endocrine tumors show varying degrees of aggressiveness from well differentiated and indolent to highly aggressive cancers, respectively. With the application of new medicinal radio-compounds and increasingly advanced tomographic imaging technology, the utility of Positron Emission Tomography/Computed Tomography (PET/CT) in the field of endocrine diseases is expanding. This review aims to analyze and summarize the primary indications of PET/CT, providing a practical approach for clinicians. A comprehensive literature search on PubMed was conducted to provide an updated overview of the available evidence regarding the use of PET/CT in endocrinology. Within this review, we will discuss the applications of PET/CT, compare different radiopharmaceuticals and highlight the uptake mechanism, excluding neuroendocrine carcinomas from discussion. PET/CT is a valuable tool in diagnosing and managing endocrine disorders due to its capacity to furnish both functional and anatomical information, facilitate early lesion detection, guide treatment decisions, and monitor treatment response. Its non-invasive nature and precision make it an integral component of modern endocrine healthcare. This review aims to provide physicians with a clear perspective on the role of PET/CT imaging, discussing its emerging opportunities and appropriateness of use in endocrinological diseases.

Clinicopathological and prognostic implications of EGFR mutations subtypes in Moroccan non-small cell lung cancer patients: A first report.

Non-small cell lung cancer (NSCLC) remains a significant global health concern, with EGFR mutations playing a pivotal role in guiding treatment decisions. This prospective study investigated the prevalence and clinical implications of EGFR mutations in Moroccan NSCLC patients. A cohort of 302 NSCLC patients was analyzed for EGFR mutations using multiple techniques. Demographic, clinical, and pathological characteristics were assessed, and overall survival (OS) outcomes were compared among different EGFR mutation subtypes. EGFR mutations were present in 23.5% of patients, with common mutations (81.69%) dominating. Common mutations showed strong associations with female gender and non-smoking status, while rare mutations were associated with a positive smoking history. Patients with EGFR mutations receiving tyrosine kinase inhibitors (TKIs) had significantly improved OS compared to wild-type EGFR patients. Notably, patients with common EGFR mutations had the highest OS, while those with rare mutations had a shorter survival period, albeit not statistically significant. This study highlights the relevance of EGFR mutation status in NSCLC patients, particularly in therapeutic decision-making. The association between smoking history and rare mutations suggests the need for tailored approaches. The survival advantage for patients with common EGFR mutations underscores the significance of personalized treatment strategies.

Expanding access to veterinary clinical decision support in resource-limited settings: a scoping review of clinical decision support tools in medicine and antimicrobial stewardship.

Digital clinical decision support (CDS) tools are of growing importance in supporting healthcare professionals in understanding complex clinical problems and arriving at decisions that improve patient outcomes. CDS tools are also increasingly used to improve antimicrobial stewardship (AMS) practices in healthcare settings. However, far fewer CDS tools are available in lowerand middle-income countries (LMICs) and in animal health settings, where their use in improving diagnostic and treatment decision-making is likely to have the greatest impact. The aim of this study was to evaluate digital CDS tools designed as a direct aid to support diagnosis and/or treatment decisionmaking, by reviewing their scope, functions, methodologies, and quality. Recommendations for the development of veterinary CDS tools in LMICs are then provided. The review considered studies and reports published between January 2017 and October 2023 in the English language in peer-reviewed and gray literature. A total of 41 studies and reports detailing CDS tools were included in the final review, with 35 CDS tools designed for human healthcare settings and six tools for animal healthcare settings. Of the tools reviewed, the majority were deployed in high-income countries (80.5%). Support for AMS programs was a feature in 12 (29.3%) of the tools, with 10 tools in human healthcare settings. The capabilities of the CDS tools varied when reviewed against the GUIDES checklist. We recommend a methodological approach for the development of veterinary CDS tools in LMICs predicated on securing sufficient and sustainable funding. Employing a multidisciplinary development team is an important first step. Developing standalone CDS tools using Bayesian algorithms based on local expert knowledge will provide users with rapid and reliable access to quality guidance on diagnoses and treatments. Such tools are likely to contribute to improved disease management on farms and reduce inappropriate antimicrobial use, thus supporting AMS practices in areas of high need.

Predictive factors for postoperative outcomes after reverse shoulder arthroplasty: a systematic review

BackgroundThe use of reverse total shoulder arthroplasty (RTSA) has increased at a greater rate than other shoulder procedures. In general, clinical and functional outcomes after RTSA have been favorable regardless of indication. However, little evidence exists regarding patient specific factors associated with clinical improvement after RTSA. Predicting postoperative outcomes after RTSA may support patients and physicians to establish more accurate patient expectations and contribute in treatment decisions. The aim of this study was to determine predictive factors for postoperative outcomes after RTSA for patients with degenerative shoulder disorders.MethodsEMBASE, PubMed, Cochrane Library and PEDro were searched to identify cohort studies reporting on predictive factors for postoperative outcomes after RTSA. Authors independently screened publications on eligibility. Risk of bias for each publication was assessed using the QUIPS tool. A qualitative description of the results was given. The GRADE framework was used to establish the quality of evidence.ResultsA total of 1986 references were found of which 11 relevant articles were included in the analysis. Risk of bias was assessed as low (N = 7, 63.6%) or moderate (N = 4, 36.4%). According to the evidence synthesis there was moderate-quality evidence indicating that greater height predicts better postoperative shoulder function, and greater preoperative range of motion (ROM) predicts increased postoperative ROM following.ConclusionPreoperative predictive factors that may predict postoperative outcomes are: patient height and preoperative range of motion. These factors should be considered in the preoperative decision making for a RTSA, and can potentially be used to aid in preoperative decision making.Level of evidenceLevel I; Systematic review.

Evaluation of colon cancer prognostic factors by CT and MRI: an up-to-date review.

Colorectal cancer (CRC) is a significant global health concern. Prognostication of CRC traditionally relies on the Union for International Cancer Control (UICC) and American Joint Committee on Cancer (AJCC) TNM staging classifications, yet clinical outcomes often vary independently of stage. Despite similarities, rectal and colon cancers are distinct in their diagnostic methodologies and treatments, with MRI and CT scans primarily used for staging rectal and colon cancers, respectively. This paper examines the challenges in accurately assessing prognostic factors of colon cancer such as primary tumor extramural extension, retroperitoneal surgical margin (RSM) involvement, extramural vessel invasion (EMVI), and lymph node metastases through preoperative CT and MRI. It highlights the importance of these factors in risk stratification, treatment decisions, and surgical planning for colon cancer patients. Advancements in imaging techniques are crucial for improving clinical management and optimizing patient outcomes, underscoring the necessity for ongoing research to refine diagnostic methods and incorporate novel findings into practice.

Interpretation of Chinese guideline for the clinical management of patients with unruptured intracranial aneurysms (2024)

With the popularization of cerebrovascular imaging technology, the clinical detection rate of unruptured intracranial aneurysm (UIA) is increasing. UIA has a low risk of rupture, but once ruptured, it can seriously affect human health. The treatment of UIA is highly controversial and has attracted widespread clinical attention. The Society of Neurosurgery of the Chinese Medical Association, the Society of Cerebrovascular Surgery of the Chinese Stroke Association, the National Center for Neurological Diseases, and the National Center for Clinical Research on Neurological Diseases jointly formulate "Chinese guideline for the clinical management of patients with unruptured intracranial aneurysm management (2024)", which adopts a modular format, highlighting management recommendations and indicating current research deficiencies and future research directions. It provides comprehensive clinical management recommendations on UIA epidemiology, population screening, clinical imaging and diagnosis, rupture risk assessment, treatment decisions and choices, postoperative follow-up, and long-term management. The evidence sources are divided into the Chinese population and other populations, which helps guide clinical practice in China.

CT-derived Fractional Flow Reserve: How, When, and Where to use this Novel Cardiac Imaging Tool.

Fractional flow reserve computed tomography (FFRCT) is a novel imaging modality. It utilizes computational fluid dynamics analysis of coronary blood flow obtained from CCTA images to estimate the decrease in pressure across coronary stenosis during the maximum hyperemia. The FFRCT can serve as a valuable tool in the assessment of coronary artery disease (CAD). This non-invasive option can be used as an alternative to the invasive fractional Flow Reserve (FFR) evaluation, which is presently considered the gold standard for evaluating the physiological significance of coronary stenoses. It can help in several clinical situations, including Assessment of Acute and stable chest pain, virtual planning for coronary stenting, and treatment decision-making. Although FFRCT has demonstrated potential clinical applications as a non-invasive imaging technique, it is also crucial to acknowledge its limitations in clinical practice. As a result, it is imperative to meticulously evaluate the advantages and drawbacks of FFRCT individually and contemplate its application in combination with other diagnostic examinations and clinical data.

Potential biomarkers used for risk estimation of pediatric sepsis-associated organ dysfunction and immune dysregulation.

Pediatric sepsis is a serious issue globally and is a significant cause of illness and death among infants and children. Refractory septic shock and multiple organ dysfunction syndrome are the primary causes of mortality in children with sepsis. However, there is incomplete understanding of mechanistic insight of sepsis associated organ dysfunction. Biomarkers present during the body's response to infection-related inflammation can be used for screening, diagnosis, risk stratification/prognostication, and/or guidance in treatment decision-making. Research on biomarkers in children with sepsis can provide information about the risk of poor outcomes and sepsis-related organ dysfunction. This review focuses on clinically used biomarkers associated with immune dysregulation and organ dysfunction in pediatric sepsis, which could be useful for developing precision medicine strategies in pediatric sepsis management in the future. IMPACT: Sepsis is a complex syndrome with diverse clinical presentations, where organ dysfunction is a key factor in morbidity and mortality. Early detection of organ complications is vital in sepsis management, and potential biomarkers offer promise for precision medicine in pediatric cases. Well-designed studies are needed to identify phase-specific biomarkers and improve outcomes through more precise management.

Development and Validation of a Ready-to-Talk Measure for Use in Adolescents and Young Adults Living With Advanced Cancer.

In the era of evolving and emerging therapies, adolescents and young adults (AYAs) living with advanced cancer experience a high degree of uncertainty, making palliative care and end-of-life (PCEOL) discussions difficult. Clinical conversations determine values/preferences that guide shared decision-making and goals of treatment, including end-of-life care when cancer progresses. Initiating PCEOL conversations is challenging for clinicians. This study describes the development and validation of an instrument that measures AYA readiness to engage in PCEOL clinical conversations. A Ready-to-Talk Measure (R-T-M) was developed, guided by the revised conceptual model of readiness across 3 domains (awareness, acceptance, and willingness). Content experts evaluated validity, and 13 AYAs with advanced cancer participated in cognitive interviews. Acceptability (item applicability, clarity, interpretation, sensitivity, missingness) and experiences (benefit, burden) were analyzed. The scale content validity index was ≥0.90 for each domain. Forty-two of the 55 R-T-M items were acceptable without any change. Three items were deleted. Ten items were modified, and 3 were added. Adolescents and young adults wanted more items about friends/siblings and about AYA unique qualities for clinicians to know them better. Adolescents and young adults acknowledged benefit through talking about difficult, relevant topics. Ready-to-Talk Measure validity was strengthened by deleting or modifying unclear or misinterpreted items and by adding items. Next steps include psychometric analysis to determine reliability/dimensionality and stakeholder input to make the R-T-M a clinically useful tool. Ready-to-Talk Measure assessment of readiness to engage in PCEOL conversations while identifying unique preferences of AYAs holds promise for facilitating ongoing discussions.

The diagnostic value of [18F]FAPI-42 PET/CT for pulmonary artery masses: comparison with [18F]FDG PET/CT.

To investigate the potential utility of [18F]fibroblast activation protein inhibitor (FAPI) positron emission tomography/computed tomography (PET/CT) for evaluating pulmonary artery (PA) masses, and compare it with [18F]fluorodeoxyglucose (FDG) PET/CT. Participants with clinically suspected PA malignancy were prospectively enrolled and underwent dual-tracer PET/CT ([18F]FAPI-42 and [18F]FDG) imaging. Visual analysis and semi-quantitative parameters were compared between the two types of radiotracers. The tissue specimen underwent immunohistochemical staining to verify FAP expression in the tissue. Thirty-three patients (18 males/15 females; mean age 53.1 ± 15.4 years) were enrolled. All 21 patients with malignant PA masses were FDG-positive (100%), whereas 20 out of 21 patients were FAPI-positive (95.2%). All 12 patients with benign PA masses were both negative in FDG and FAPI PET. The mean maximum standardized uptake value (SUVmax) and target-to-background ratio (TBR) of FAPI and FDG in malignant PA masses were significantly higher than those of benign masses. Although there was no significant difference in SUVmax between FDG and FAPI in malignant PA masses (11.36 vs. 9.18, p = 0.175), the TBR (liver) and TBR (left ventricle) were more favorable for FAPI than for FDG (13.04 vs. 5.17, p < 0.001); (median: 7.75 vs. 2.75, p = 0.007). Immunohistochemical analysis (n = 16) validated that the level of FAP expression corresponded strongly to the uptake of FAPI in PET/CT scans (rs = 0.712, p = 0.002). For clinical management, FAPI PET found more metastatic lesions than FDG PET in 4 patients, with 2 patients upgrading and 1 patient changing treatment decisions. FAPI PET/CT is feasible in the diagnosis of PA masses. Although not superior to FDG PET/CT, FAPI PET/CT showed better target-to-background contrast. This study found that FAPI PET/CT is not superior to FDG PET/CT in diagnosing PA masses, but FAPI PET/CT displays better target-to-background contrast and more positive lesions, which may help improve disease management. Pulmonary malignancies lack specificity in clinical manifestations, laboratory tests, and routine imaging examinations. FAPI PET/CT is not diagnostically better than FDG PET/CT but displays better target-to-background contrast and more positive lesions. Dual-tracer PET/CT ([18F]FAPI-42 and [18F]FDG) imaging improves clinical management of pulmonary artery masses.

Eosinophilic Granulomatosis with Polyangiitis with ophthalmic involvement: A Case report and Literature Review

Eosinophilic granulomatosis with polyangiitis (EGPA), previously known as Churg-Strauss syndrome, is a systemic necrotizing vasculitis primarily affecting small blood vessels. It is characterized by extravascular eosinophilic granulomas, peripheral eosinophilia, and often coexists with asthma. This rare condition can affect individuals of any gender and age, presenting with a variety of multisystemic symptoms. Prognosis is largely influenced by cardiac involvement, evaluated using the Five-Factor Score (FFS) to guide treatment decisions. Respiratory manifestations, particularly severe and corticosteroid-dependent asthma, are common in EGPA and may aid in its early diagnosis. In this case report, we describe a patient with an uncontrolled asthma admitted for moderate asthma exacerbation. Clinical examination revealed ocular redness and skin lesions, along with hypereosinophilia on assessment and reticulo-micronodular infiltrates on chest CT scan. EGPA diagnosis was confirmed based on the ACR 1990 criteria, wich have been updated and substituted with more objective criteria in 2022. According to the FFS score, the patient underwent systemic corticosteroid therapy in conjunction with azathioprine, leading to an overall favorable outcome over a 3-year follow-up period.