Appropriateness Criteria Research Articles

ESR Essentials: staging and restaging with FDG-PET/CT in oncology-practice recommendations by the European Society for Hybrid, Molecular and Translational Imaging.

Positron emission tomography (PET) stands as the paramount clinical molecular imaging modality, especially in oncology. Unlike conventional anatomical-morphological imaging methods such as computed tomography (CT) and magnetic resonance imaging (MRI), PET provides detailed visualizations of internal activity at the molecular and cellular levels. 18-fluorine-fluorodeoxyglucose ([18F]FDG)-PET combined with contrast-enhanced CT (ceCT) significantly improves the detection of various cancers. Appropriate patient selection is crucial, and physicians should carefully assess the appropriateness of [18F]FDG-PET/CT based on specific clinical criteria and evidence. Due to its high diagnostic accuracy, [18F]FDG-PET/CT is indispensable for evaluating the extent of disease, staging, and restaging known malignancies, and assessing the response to therapy. PET/CT imaging offers significant advantages in patient management, particularly by identifying occult metastases that might otherwise go undetected. This can help prevent unnecessary surgeries, allowing many patients to be redirected to systemic chemotherapy instead. However, it is important to note that the gold standard for surgical planning remains CT and/or MRI, depending on the body region. These imaging modalities, with or without associated angiography, provide superior contrast and spatial resolution, essential for detailed surgical preparation and planning. [18F]FDG-PET/CT has a central role in the precise and early diagnosis of cancer, contributing significantly to personalized treatment plans. However, it has limitations, including non-tumor-specific uptake and the potential to inaccurately capture the metabolic activity of certain tumor types due to low uptake in some well-differentiated tumor cell lines. Therefore, it should be utilized in clinical scenarios where it offers crucial diagnostic insights not readily available with other imaging modalities. KEY POINTS: Use [18F]FDG-PET/CT selectively based on clinical appropriateness criteria and existing evidence to optimize resource utilization and minimize patient exposure. Employ [18F]FDG-PET/CT in treatment planning and monitoring, particularly for assessing chemotherapy or radiotherapy response in FDG-avid lymphoma and solid tumors. When available, [18F]FDG-PET/CT can be integrated with other diagnostic tools, such as MRI, to enhance overall diagnostic accuracy.

Routine Use of [64Cu]Cu-DOTATATE PET/CT in a Neuroendocrine Tumor Center: Referral Patterns and Image Results of 2,249 Consecutive Scans.

The role of somatostatin receptor (SSTR) PET/CT, using 68Ga-based tracers or [64Cu]Cu-DOTATATE (64Cu-DOTATATE), in the management of patients with neuroendocrine neoplasm (NEN) is guided by appropriate use criteria (AUC). In this study, we performed systematic analyses of referral patterns and image findings of routine 64Cu-DOTATATE PET/CT scans to support AUC development. Methods: We included all clinical routine 64Cu-DOTATATE PET/CT scans performed between April 10, 2018 (start of clinical use), and May 2, 2022, at Copenhagen University Hospital-Rigshospitalet. We reviewed the referral text and image report of each scan and classified the indication according to clinical scenarios as listed in the AUC. Results: In total, 1,290 patients underwent 2,249 64Cu-DOTATATE PET/CT scans. Monitoring of patients with NEN seen both on conventional imaging and on SSTR PET without clinical evidence of progression was the most common indication (defined as "may be appropriate" in the AUC) and accounted for 703 (31.3%) scans. Initial staging after NEN diagnosis ("appropriate" in the AUC) and restaging after curative-intent surgery ("may be appropriate" in the AUC) accounted for 221 (9.8%) and 241 (10.7%) scans, respectively. Selection of patients eligible for peptide receptor radionuclide therapy ("appropriate" in the AUC) and restaging after peptide receptor radionuclide therapy completion ("appropriate" in the AUC) accounted for 95 (4.2%) and 115 (5.1%) scans, respectively. The number of scans performed for indications not defined in the AUC was 371 (16.5%). Image result analysis revealed no disease in 669 scans (29.7%), stable disease in 582 (25.9%), and progression in 461 (20.5%). In 99 of the 461 (21.5%) scans, progression was detected on PET but not on CT. Conclusion: Our study provided real-life data that may contribute to support development of 64Cu-DOTATATE/SSTR PET/CT guidelines including AUC. Some scenarios listed as "may be appropriate" in the current AUC were frequent in our data. Monitoring of patients with NEN without clinical evidence of progression was the most frequent indication for 64Cu-DOTATATE PET/CT, in which disease progression was detected in more than one third, and a large proportion was visible by PET only. We therefore conclude that this scenario could potentially be classified as appropriate.

Projected Annual Lecanemab Treatment Eligibility in an Irish Regional Specialist Memory Clinic.

The advent of Disease Modifying Therapies (DMTs) for the treatment of Alzheimer's Disease (AD) has the potential to transform the lives of those with early AD. Timely identification of eligible patients is needed to ensure treatments are delivered during a narrow window of therapeutic opportunity. Appropriate clinical service design will hinge on improved understanding of future demands, thus there is a pressing need to investigate patient eligibility in real world clinical cohorts. The primary aim of this study is to assess the eligibility by appropriate use criteria (AUC) for lecanemab therapy in a real-world, undifferentiated clinical patient cohort attending a Regional Specialist Memory Clinic (RSMC), with the secondary aims of determining the proportion of patients with biomarker positive Alzheimer's Disease (AD) who would be eligible for lecanemab therapy by AUC. Clinical trial eligibility criteria were also applied to both groups and discrepancies that exist between eligibility rates explored. A retrospective cohort study of all new patients attending a RSMC from 1st January 2022 to 31st December 2022 was conducted. Data collected included demographic details, outcomes of diagnostic assessments and comorbidities. MRI images, where indicated, were reviewed. Amyloid positivity was defined as either Amyloid and Tau positive (A+T+) or Amyloid positive with a positive P-Tau/Ab42 ratio on cerebrospinal fluid (CSF) testing. Appropriate use criteria (AUC) and clinical trial criteria for lecanemab were applied. Proportion of eligible patients was calculated. Eleven (5.9%) of 188 new patient attenders were eligible (average age 66.7years [SD 8.9], 63.6% female) by AUC, with 26.2% of patients with biomarker positive Alzheimer's Disease eligible for lecanemab therapy. The most common reason for exclusion was a lack of biomarker confirmation of AD pathology followed by cognitive ineligibility (based on defined cognitive testing cut-offs) at the time of referral and/or initial assessment. Only 40.4% of patients had CSF testing for AD biomarkers while almost 20% of the patients with biomarker positive AD were excluded due to lack of a screening MRI in the previous 12months. In this study, the potential eligibility rate by AUC of the entire patient cohort (5.9%) was limited by the small proportion of patients who had CSF testing for AD biomarkers. So while disease-modification with Lecanemab is a welcome therapeutic advance, although only a small proportion of people currently attending specialist services will be eligible. Successful delivery of DMTs will require significant resource allocation and optimisation of referral pathways to facilitate early identification of potentially eligible patients.

Summary: Appropriate Use Criteria for the Use of Nuclear Medicine in Fever of Unknown Origin.

The diagnostic work-up of patients with fever of unknown origin (FUO) begins with a thorough history and physical examination, complete blood count with differential, chest x-ray, urinalysis and culture, electrolyte panel, liver enzymes, erythrocyte sedimentation rate, and C-reactive protein level. Additional imaging procedures, including nuclear medicine tests, are generally used as second-line procedures, with 18F-FDG PET and PET/CT assuming increasingly important roles in the diagnostic work-up. The Society of Nuclear Medicine and Molecular Imaging, the Infectious Diseases Society of America, and the American College of Nuclear Medicine convened an autonomous expert work group to comprehensively review the published literature for nuclear imaging in adults and children with FUO and establish appropriate use criteria (AUC). This process was performed in accordance with the Protecting Access to Medicare Act of 2014, which requires that all referring physicians consult AUC by using a clinical decision support mechanism before ordering advanced diagnostic imaging services. The complete findings and discussions of the work group were published on January 8, 2023, and are available at https://www.snmmi.org/ClinicalPractice/content.aspx?ItemNumber=15666 The AUC in the final document are intended to assist referring health care providers in appropriate use of nuclear medicine imaging procedures in patients with FUO. The work group noted limitations in the current literature on nuclear medicine imaging for FUO, with the need for well-designed prospective multicenter investigations. Consensus findings from published data and expert opinions were used to create recommendations in common clinical scenarios for adults and children. Included in the complete document is a discussion of inflammation of unknown origin (IUO), a recently described entity. In view of the fact that the criteria for FUO and IUO are similar (except for fever > 38.3°C [100.9°F]) and that the most common etiologies of these 2 entities are similar, it is the expert opinion of the work group that the recommendations for nuclear medicine imaging of FUO are also applicable to IUO. These recommendations are included in the full guidance document. This summary reviews rationale, methodology, and main findings and refers the reader to the complete AUC document.

Enhancing chatbot performance for imaging recommendations: Leveraging GPT-4 and context-awareness for trustworthy clinical guidance

PurposeTo investigate if GPT-4 improves the accuracy, consistency, and trustworthiness of a context-aware chatbot to provide personalized imaging recommendations from American College of Radiology (ACR) appropriateness criteria documents using semantic similarity processing: In addition, we sought to enable auditability of the output by revealing the information source the decision relies on. Material and MethodsWe refined an existing chatbot that incorporated specialized knowledge of the ACR guidelines by upgrading GPT-3.5-Turbo to its successor GPT-4 by OpenAI, using the latest version of LlamaIndex, and improving the prompting strategy. This chatbot was compared to the previous version, generic GPT-3.5-Turbo and GPT-4, and general radiologists regarding the performance in applying the ACR appropriateness guidelines. ResultsThe refined context-aware chatbot performed superior to the previous version using GPT-3.5-Turbo, generic chatbots GPT-3.5-Turbo and GPT-4, and general radiologists in providing “usually or may be appropriate” recommendations according to the ACR guidelines (all p < 0.001). It also outperformed GPT-3.5-Turbo and general radiologists in respect to “usually appropriate” recommendations (both p < 0.001). Moreover, the consistency in correct answers was higher with 78 % consistent correct “usually appropriate” answers and 94 % for “usually or may be appropriate” recommendations. In all cases, the same source documents were chosen, ensuring transparency. ConclusionOur study demonstrates the significance of context awareness in ensuring the use of appropriate knowledge and proposes a strategy to enhance trust in chatbot-based outputs to provide transparency. The improvements in accuracy, consistency, and source transparency address trust issues and enhance the clinical decision support process.Abbreviations: ACR, American College of Radiology; accGPT, appropriateness criteria context aware GPT; accGPT-4, appropriateness criteria context aware GPT using GPT-4; GPT, generative pre-trained transformer; LLM, Large Language Model.

The results of 3 years registry on myocardial perfusion imaging, do we use the appropriateness criteria as expected?

The results of 3 years registry on myocardial perfusion imaging, do we use the appropriateness criteria as expected?

Framework for Successful Integration of Health Services Research Into a Breast Imaging Career.

Health services research (HSR)is a multidisciplinary field of inquiry that examines how health care is structured, providing valuable data on health care outcomes and delivery. Over the past few decades, a shift in the U.S. health care system toward value-based care has placed a priority on health services topics. Health services research has been central to the evolution of breast imaging over this period, with increased emphasis placed on the following: (1) design of appropriate-use criteria for imaging services; (2) determination of cost-effectiveness of imaging protocols and screening regimens guiding policy; and (3) evaluation of policy related to reimbursement for diagnostic imaging and image-guided procedures. Examples of HSR topics that can be applied directly to breast imaging include evaluation of health care availability and accessibility, analysis of health care use patterns, exploration of patient preferences, assessment of technological innovation, development and implementation of clinical practice guidelines and screening strategies, and examination of health care organization and delivery models. Breast imaging radiologists who perform HSR are uniquely positioned to advocate for patients, to promote transformative health care interventions, and to influence policy changes and public health initiatives in breast imaging through analysis of health care data and translation of their research findings. In this Training and Professional Development article, we aim to provide practical approaches to explore interest in HSR and to describe a framework for successful integration of HSR into a breast imaging career.

Executive Summary of the American Radium Society Appropriate Use Criteria for NSCLC in a Central/Ultracentral Location: Systematic Review and Guidelines

IntroductionDefinitive radiation therapy is considered standard therapy for medically inoperable early-stage NSCLC. Nevertheless, for patients with tumors located near structures such as the proximal tracheobronchial tree, esophagus, heart, spinal cord, and brachial plexus, the optimal management regimen is controversial. The objective was to develop expert multidisciplinary consensus guidelines on managing medically inoperable NSCLC located in a central or ultracentral location relative to critical organs at risk. MethodsCase variants regarding centrally and ultracentrally located lung tumors were developed by the 15-member multidisciplinary American Radium Society (ARS) Thoracic Appropriate Use Criteria (AUC) expert panel. A comprehensive review of the English medical literature was performed from January 1 1946 to December 31 2023 to inform consensus guidelines. Modified Delphi methods were used by the panel to evaluate the variants and procedures, with at least three rating points from median defining agreement/consensus. The guideline was then approved by the ARS Executive Committee and released for public comment per established ARS procedures. ResultsThe Thoracic ARS AUC Panel identified 90 relevant references and obtained consensus in all variants. Radiotherapy alone was considered appropriate, with additional immunotherapy to be considered primarily in the clinical trial setting. Hypofractionated radiotherapy in eight to 18 fractions was considered appropriate for ultracentral lesions near the proximal tracheobronchial tree, upper trachea, and esophagus. For other ultracentral lesions near the heart, great vessels, brachial plexus, and spine, or for non-ultracentral but still central lesions, five-fraction stereotactic body radiation therapy was also considered an appropriate option. Intensity-modulated radiotherapy was considered appropriate and three-dimensional–conformal radiotherapy inappropriate for all variants. Other treatment planning techniques to decrease the risk of overdosing critical organs at risk were also considered. ConclusionsThe ARS Thoracic AUC panel has developed multidisciplinary consensus guidelines for various presentations of stage I NSCLC in a central or ultracentral location.

Clinical decision-making process and distributive justice: The mediating role of economic analysis. Empirical evidence from Italy.

The COVID-19 pandemic has not only tested the resilience of public health systems but also underscored the criticality of allocative choices on health resources. These choices, however, are not confined to health emergencies but are integral to public health decisions, which inherently grapple with limited resources. In this context, physicians play a pivotal role as the architects of clinical actions in various scenarios. Therefore, doctors are called upon to make their decisions by considering not only the criteria of clinical appropriateness but also the ethical aspects linked, in particular, to the principle of justice. Indeed, the assessment of the effectiveness of a treatment for a particular patient must be balanced against criteria of equity and justice for the whole. To be fully applied, the principle of justice presupposes the use of economic evaluation techniques designed to drive the organisation decisions by effectiveness and efficiency. The present paper aims to empirically analyse whether and to what extent economic evaluation is known and used by doctors in healthcare decision-making and, therefore, what the most widespread approaches are used in such processes. In particular, this paper intends to present the results of an empirical study on a sample of doctors registered with the Order of Physicians in Lombardy (Italy), one of the areas most affected by the COVID-19 pandemic. The research reveals a particular awareness of the criticality of allocation issues accompanied by a lack of knowledge of the economic evaluation techniques or, more broadly, by an almost total disuse of financial criteria. The main reasons are doctors' need for more knowledge of these tools and insufficient availability of economic information at the country system level. In the conclusion, we propose some suggestions to facilitate the transition to more current decision-making models consistent with the characteristics of more advanced national healthcare contexts.

Value-Based Radiology in Canada: Reducing Low-Value Care and Improving System Efficiency.

Radiology departments are increasingly tasked with managing growing demands on services including long waitlists for scanning and interventional procedures, human health resource shortages, equipment needs, and challenges incorporating advanced imaging solutions. The burden of system inefficiencies and the overuse of "low-value" imaging causes downstream impact on patients at the individual level, the economy and healthcare system at the societal level, and planetary health at an overarching level. Low value imaging includes those performed for an inappropriate clinical indication, with little to no value to the management of the patient, and resulting in healthcare resource waste; it is estimated that up to a quarter of advanced imaging studies in Canada meet this criterion. Strategies to reduce low-value imaging include the development and use of referral guidelines, use of appropriateness criteria, optimization of existing protocols, and integration of clinical decision support tools into the ordering provider's workflow. Additional means of optimizing system efficiency such as centralized intake models, improved access to electronic medical records and outside imaging, enhanced communication with patients and referrers, and the utilization of artificial intelligence will further increase the value of radiology provided to patients and care providers.

Determining Appropriateness of Total Joint Arthroplasty for Hip and Knee Osteoarthritis: A Patient-Centred Conceptual Model.

Total joint arthroplasty (TJA) for osteoarthritis is one of several treatment options with benefits and harms that patients value differently. However, the process for determining TJA appropriateness does not sufficiently acknowledge patient perspectives. The aim of this paper is to propose an evidence-informed patient-centred conceptual model for elective TJA appropriateness for hip and knee osteoarthritis. Our interprofessional team developed a conceptual model for determining the appropriateness of adults considering elective TJA. The model was informed by a review of the evidence, a qualitative study we conducted with adults who underwent TJA for osteoarthritis to determine barriers and facilitators to the use of appropriateness criteria, and the research and clinical experience of team members. Appropriateness is providing health services (e.g., TJA) with net benefits to the right patient at the right time. The proposed Patient-centred Elective TJA Appropriateness Conceptual Model involves three key steps. First, assess adults with osteoarthritis to determine eligibility for TJA. Second, acknowledge the patient's informed preferences including their expectations and goals. Third, explore and support their mental and physical readiness for TJA. Given that osteoarthritis is a chronic condition, these steps can be revisited over time with patients. Our proposed conceptual model reconceptualises the appropriateness of TJA to be more patient-centred. Hence, this approach has the potential to be a more inclusive approach and ensure patients undergoing TJA are eligible, ready to proceed, and achieve what matters most to them. Future research is needed to test and validate the model.

Generative AI Platform for Automating Social Media Posts From Urology Journal Articles: A Cross-Sectional Study and Randomized Assessment.

This cross-sectional study assessed a generative-AI platform to automate the creation of accurate, appropriate, and compelling social-media (SoMe) posts from urological journal articles. One hundred SoMe-posts from the top 3 journals in urology X (Twitter) profiles were collected from Aug-2022 to Oct-2023 A freeware GPT-tool was developed to auto-generate SoMe posts, which included title-summarization, key findings, pertinent emojis, hashtags, and DOI links to the article. Three physicians independently evaluated GPT-generated posts for achieving tetrafecta of accuracy and appropriateness criteria. Fifteen scenarios were created from 5 randomly selected posts from each journal. Each scenario contained both the original and the GPT-generated post for the same article. Five questions were formulated to investigate the posts' likability, shareability, engagement, understandability, and comprehensiveness. The paired posts were then randomized and presented to blinded academic authors and general public through Amazon Mechanical Turk (AMT) responders for preference evaluation. Median (IQR) time for post auto-generation was 10.2 seconds (8.5-12.5). Of the 150 rated GPT-generated posts, 115 (76.6%) met the correctness tetrafecta: 144 (96%) accurately summarized the title, 147 (98%) accurately presented the articles' main findings, 131 (87.3%) appropriately used emojis and hashtags 138 (92%). A total of 258 academic urologists and 493 AMT responders answered the surveys, wherein the GPT-generated posts consistently outperformed the original journals' posts for both academicians and AMT responders (P < .05). Generative-AI can automate the creation of SoMe posts from urology journal abstracts that are both accurate and preferable by the academic community and general public.

Return to Play to Pre-Injury Level Following Anterior Cruciate Ligament Injury.

The American Academy of Orthopaedic Surgeons has developed Appropriate Use Criteria (AUC) for the Return to Play to Pre-Injury Level Following Anterior Cruciate Ligament (ACL) Injury. Evidence-based information, in conjunction with the clinical expertise of physicians, was used to develop the criteria to determine the appropriateness of return to play to pre-injury level after an ACL injury. The AUC for the Return to Play to Pre-Injury Level Following ACL Injury were derived by identifying clinical indications typical of patients wishing to return to play after an ACL injury. These indications were most often clinically significant parameters, including symptoms and diagnostic findings. In addition, "patient-level variables" (eg, activity level or demographics) can be considered. A total of 576 patient scenarios and 3 procedure recommendations were developed by the writing panel, a group of clinicians who are specialists in this AUC topic. Next, a separate multidisciplinary rating panel (made up of specialists and nonspecialists) rated the appropriateness of treatment of each patient scenario using a 9-point scale to designate a treatment as "appropriate" (median rating, 7 to 9), "may be appropriate" (median rating, 4 to 6), or "rarely appropriate" (median rating, 1 to 3).

GPT-4 Vision: Multi-Modal Evolution of ChatGPT and Potential Role in Radiology.

GPT-4 Vision (GPT-4V) represents a significant advancement in multimodal artificial intelligence, enabling text generation from images without specialized training. This marks the transformation of ChatGPT as a large language model (LLM) into GPT-4's promised large multimodal model (LMM). As these AI models continue to advance, they may enhance radiology workflow and aid with decision support. This technical note explores potential GPT-4V applications in radiology and evaluates performance for sample tasks.GPT-4V capabilities were tested using images from the web, personal and institutional teaching files, and hand-drawn sketches. Prompts evaluated scientific figure analysis, radiologic image reporting, image comparison, handwriting interpretation, sketch-to-code, and artistic expression. In this limited demonstration of GPT-4V's capabilities, it showed promise in classifying images, counting entities, comparing images, and deciphering handwriting and sketches. However, it exhibited limitations in detecting some fractures, discerning a change in size of lesions, accurately interpreting complex diagrams, and consistently characterizing radiologic findings. Artistic expression responses were coherent. WhileGPT-4V may eventually assist with tasks related to radiology, current reliability gaps highlight the need for continued training and improvement before consideration for any medical use by the general public and ultimately clinical integration. Future iterations could enable a virtual assistant to discuss findings, improve reports, extract data from images, provide decision support based on guidelines, white papers, and appropriateness criteria. Human expertise remain essential for safe practice and partnerships between physicians, researchers, and technology leaders are necessary to safeguard against risks like bias and privacy concerns.

Examination of emergency assembly areas based on planning criteria after the two major earthquakes on 6 February, 2023: A case study from Turkey

This study aimed to examine the compliance of post-disaster emergency assembly areas with their planning criteria in the Battalgazi district of Malatya province. This district is one of the settlements that was most affected by the two big earthquakes that occurred in Türkiye on 6 February 2023. The emergency assembly areas were evaluated qualitatively based on the criterion of “appropriateness”, with the sub-variables of “usability”, “accessibility”, and “safety”. They were also evaluated quantitatively based on the criterion of “adequacy” with the sub-variable “per capita m2”. There are a total of 103 neighborhoods in the district. However, there are only eight emergency assembly areas in total within its boundaries. According to the results of this study, only 7.5% of the current population of the district resides within 500 m of the emergency assembly areas. The fact that four emergency assembly areas (Hürriyet Park, Şehit Kemal Özalper High School, the Community Garden, Battalgazi Municipality) are situated next to each other and there are emergency assembly areas in only six of the 103 neighborhoods within the municipal boundaries shows that were significant problems in the decisions made regarding their locations. In addition, it was determined that there were disadvantages in terms of accessibility and usability within the criterion of appropriateness, while there were some positive aspects in terms of safety. When examined with regard to the criterion of adequacy, it was determined that the emergency assembly areas at Mişmiş Park, the Community Garden, Battalgazi Municipality, and Şehit Kemal Özalper High School were most adequate, while the emergency assembly areas at Hürriyet Park, Fırat Neighborhood Mukhtar, Nevzat Er Park, and 100 Yıl İmam Hatip Secondary School were least adequate.

EVALPAX: Evaluation of a pharmacist-driven protocol for nirmatrelvir/ritonavir prescribing in a community hospital system.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. The purpose of this study was to evaluate pharmacist prescribing of nirmatrelvir/ritonavir to ensure this method of increasing access to treatment is safe and effective. This multicenter, retrospective observational study included patients receiving a prescription for nirmatrelvir/ritonavir by a physician, nurse practitioner (NP), physician assistant (PA), or pharmacist at an Indiana University (IU) Health West Central Region site over a 3-month period. Patients were divided into two groups: those who received nirmatrelvir/ritonavir prescribed by a pharmacist (the pharmacist prescribed group) and those who received nirmatrelvir/ritonavir prescribed by other providers (the physician/NP/PA prescribed group). Electronic health record (EHR) reviews were performed to assess the appropriateness of prescriptions based on the presence of risk factors and symptoms, day of symptom onset, and dosing. The primary endpoint was the overall appropriateness of nirmatrelvir/ritonavir prescriptions in the two study groups based on emergency use authorization inclusion and exclusion requirements. Secondary endpoints included appropriateness of nirmatrelvir/ritonavir dosing and medically attended visits or mortality within 30 days. Statistical analysis of the endpoints occurred post hoc utilizing the Fisher's exact test. A total of 259 patients were included in the pharmacist prescribed group and 265 patients in the physician/NP/PA prescribed group. Overall appropriate nirmatrelvir/ritonavir prescribing occurred in 258 patients (99.6%) and 232 patients (87.5%) in the pharmacist and physician/NP/PA prescribed groups, respectively (P < 0.0001). Nirmatrelvir/ritonavir dosing was appropriate in 256 patients (98.8%) and 240 patients (90.6%) in the pharmacist and physician/NP/PA prescribed groups, respectively (P < 0.0001). The 30-day rates of medically attended visits were similar between groups. No patients died within 30 days of treatment in either group. Pharmacist prescribing of nirmatrelvir/ritonavir may result in a higher likelihood of prescriptions meeting overall appropriateness criteria. Pharmacists represent an important healthcare professional resource to improve nirmatrelvir/ritonavir prescribing and utilization.

Radiologic Decision-Making for Imaging in Pulmonary Embolism: Accuracy and Reliability of Large Language Models—Bing, Claude, ChatGPT, and Perplexity

Abstract Background Artificial intelligence chatbots have demonstrated potential to enhance clinical decision-making and streamline health care workflows, potentially alleviating administrative burdens. However, the contribution of AI chatbots to radiologic decision-making for clinical scenarios remains insufficiently explored. This study evaluates the accuracy and reliability of four prominent Large Language Models (LLMs)—Microsoft Bing, Claude, ChatGPT 3.5, and Perplexity—in offering clinical decision support for initial imaging for suspected pulmonary embolism (PE). Methods Open-ended (OE) and select-all-that-apply (SATA) questions were crafted, covering four variants of case scenarios of PE in-line with the American College of Radiology Appropriateness Criteria. These questions were presented to the LLMs by three radiologists from diverse geographical regions and setups. The responses were evaluated based on established scoring criteria, with a maximum achievable score of 2 points for OE responses and 1 point for each correct answer in SATA questions. To enable comparative analysis, scores were normalized (score divided by the maximum achievable score). Result In OE questions, Perplexity achieved the highest accuracy (0.83), while Claude had the lowest (0.58), with Bing and ChatGPT each scoring 0.75. For SATA questions, Bing led with an accuracy of 0.96, Perplexity was the lowest at 0.56, and both Claude and ChatGPT scored 0.6. Overall, OE questions saw higher scores (0.73) compared to SATA (0.68). There is poor agreement among radiologists' scores for OE (Intraclass Correlation Coefficient [ICC] = −0.067, p = 0.54), while there is strong agreement for SATA (ICC = 0.875, p &lt; 0.001). Conclusion The study revealed variations in accuracy across LLMs for both OE and SATA questions. Perplexity showed superior performance in OE questions, while Bing excelled in SATA questions. OE queries yielded better overall results. The current inconsistencies in LLM accuracy highlight the importance of further refinement before these tools can be reliably integrated into clinical practice, with a need for additional LLM fine-tuning and judicious selection by radiologists to achieve consistent and reliable support for decision-making.

Three years' registry on myocardial perfusion imaging patients in Ain shams university nuclear cardiology unit

Abstract Background The development in nuclear myocardial perfusion imaging (MPI) has provided diagnostic and prognostic implications in CAD patients, leading to an explosive increase in the performanceofthesestudies. Thisexpansionofimagingspectrumisassociatedwithwidespread concern regarding imaging utilization and increased healthcare costs. There is no comparative data that guide the use of these modalities with respect to appropriateness and patients’ benefit. Targeted data collection, through registry studies, enable analysis of both quality and outcomes with big advantages of reflecting real world daily practice and identifying the gaps in care which may not otherwise be feasible in high-quality randomized control trials. Objective To explore the extent to which stress myocardial perfusion imaging (MPI) studies met published appropriate use criteria (AUC), and the real world practice in the nuclear cardiology unit of Ain shams University. Patients and Methods It was a retrospective cohort study that included 2598 patients who underwent myocardial perfusion imaging in Ain Shams university nuclear cardiology unit throughout the period from January 2017 to December2019. All patients were subjected to thorough demographic data, history of cardiovascular risk factors (arterial hypertension, diabetes mellitus, smoking, family history of premature cardiovascular diseases), indication of the test, preprocedural ECG, ejection fraction by echocardiography, previous coronary angiography and PCI or CABG, calculation of pretest probability and Framingham risk score, determination of appropriateness use criteria and stress-rest Tc 99m imaging to detect the presence of ischemia and one day Tc 99m imaging to detect viability. Results The study included 2598 patients with mean age of 57.76 years, with male predominance (68.1%), 38.2% were diabetics and 53% had hypertension. The most common indications to undergo MPI was the exclusion of CAD as a cause of chest pain in 38.8% of patients followed by the evaluation of symptomatic post PCI patients in 21.9%. Moreover 63.8% of patients showed appropriate tests, while 18.6% of patients showed uncertain tests. Whereas 17.6% of patients had inappropriate studies. 81% of appropriate tests showed positive results of SPECT. Whereas in the inappropriate and the uncertain category, the negative test for ischemia predominated. Conclusion We have established that appropriateness criteria are effective in identifying appropriateness of SPECT in a university center located in Cairo. Also, we concluded that in our unit the appropriate tests were more prominent than inappropriate and unclassified tests. Most of the appropriate studies were positive for ischemia. While, most of the inappropriate and uncertain tests were normal and the commonest cause of referral for MPI was exclusion of CAD as a cause of chest pain.

Appropriateness and Quality of Composite Endpoint Use and Reporting in Spine Surgery: A Systematic Review.

A composite endpoint (CEP) is a measure comprising 2 or more separate component outcomes. The use of these constructs is increasing. We sought to conduct a systematic review on the usage, quality of reporting, and appropriate use of CEPs in spine surgery research. A systematic review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Articles reporting randomized controlled trials of a spine surgery intervention using a CEP as a primary outcome were included. We assessed the quality of CEP reporting, appropriateness of CEP use, and correspondence between CEP treatment effect and component outcome treatment effect in the included trials. Of 2,321 initial titles, 43 citations were included for analysis, which reported on 20 unique trials. All trials reported the CEP construct well. In 85% of trials, the CEP design was driven by US Food and Drug Administration guidance. In the majority of trials, the reporting of CEP results did not adhere to published recommendations: 43% of tests that reported statistically significant results on component outcomes were not statistically significant when adjusted for multiple testing. 67% of trials did not meet appropriateness criteria for CEP use. In addition, CEP treatment effect tended to be 6% higher than the median treatment effect for component outcomes. Given that CEP analysis was not appropriate for the majority of spine surgery trials and the inherent challenges in the reporting and interpretation of CEP analysis, CEP use should not be mandated by regulatory bodies in spine surgery trials. Level I. See Instructions for Authors for a complete description of levels of evidence.

Impact of Appropriate Use Criteria for Cross-Sectional Imaging on Medical Decision-Making in Patients with Conotruncal Defects.

Associations between Appropriate Use Criteria (AUC) ratings and medical decision-making in congenital heart disease are not well-established. We applied the 2020 AUC for multimodality imaging in follow-up care of pediatric and young adult patients with conotruncal defects to evaluate appropriateness of cardiac magnetic resonance (CMR) and computed tomography (CCT) use in this population and impact on clinical decision-making. Records were reviewed and assigned AUC indications and corresponding ratings for CMR and CCT. We examined the relationship between AUC indications, their ratings, and change in management. Of the 200 studies (133 CMR, 67 CCT) performed on 187 patients, no studies were rated Rarely Appropriate (R), and most studies were obtained for routine follow-up (151/200 [75.5%]) and were not prompted by clinical concerns. There were 70/200 (35.0%) studies which led to management changes; these included transcatheter intervention (29/70 [41.4%]), surgical intervention (25/70 [35.7%]), other interventions (10/70 [14.3%]), and medical intervention (6/70 [8.6%]). Among all studies, studies prompted by clinical concerns and studies rated M more frequently resulted in change in management (46.9 vs 31.1%, p = 0.04 and 54.1 vs 30.7%, p = 0.003, respectively). In conclusion, we found that all studies were ordered for indications rated Appropriate (A) or May be Appropriate (M), indicating compliance in ordering practices as outlined by published AUC. Studies ordered for clinical change or rated M more frequently led to management change in patient care. Findings may help inform provider expectations of testing yield in this population and serve as a platform for development of future iterations of AUC.