Expert Physicians Research Articles

A Review of Artificial Intelligence in Tumor Pathology Image Analysis

Accurate diagnosis of tumors is crucial to the treatment and prognosis of patients. Pathological diagnosis is regarded as the "gold standard" of tumor diagnosis, which helps to detect the disease at an early stage and formulate precise treatment plans for patients. However, traditional pathology diagnosis relies heavily on the expertise and diagnostic experience of physicians, making the quality and accuracy of pathology diagnosis largely dependent on their individual capabilities. With the popularization of Whole Slide Image (WSI) technology, the application of AI in pathology has gained significant momentum. With its powerful analyzing ability, AI has been widely used in computational pathology, especially in pathology-assisted diagnosis, showing great potential. This paper first explores two core tasks of AI in the field of pathology image analysis - image segmentation and image classification. Finally, it looks at the challenges and opportunities facing the field.

International Multi-Specialty Expert Physician Preoperative Identification of Extranodal Extension n Oropharyngeal Cancer Patients using Computed Tomography: Prospective Blinded Human Inter-Observer Performance Evaluation.

Extranodal extension (pENE) is a critical prognostic factor in oropharyngeal cancer (OPC) that drives therapeutic disposition. Determination of pENE from radiological imaging has been associated with high inter-observer variability. However, the impact of clinician specialty on human observer performance of imaging-detected extranodal extension (iENE) remains poorly understood. To characterize the impact of clinician specialty on the accuracy of pre-operative iENE in human papillomavirus-positive (HPV+) OPC using computed tomography (CT) images. This prospective observational human performance study analyzed pre-therapy CT images from 24 HPV+ OPC patients, with duplication of 6 scans (n=30) of which 21 were pathologically confirmed pENE. Thirty-four expert observers, including 11 radiologists, 12 surgeons, and 11 radiation oncologists, independently assessed these scans for iENE and reported human-detected radiologic criteria and observer confidence. The primary outcomes included accuracy, sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and Brier score for each physician, compared to ground-truth pENE. The significance of radiographic signs for prediction of pENE were determined through logistic regression analysis. Fleiss' kappa measured interobserver agreement, and Hanley-MacNeil AUC discrimination testing. Median accuracy across all specialties was 0.57 (95%CI 0.39 to 0.73), with no specialty showing discriminate performance greater than random estimation (median AUC 0.64, 95%CI 0.44 to 0.83). Significant differences between radiologists and surgeons in Brier scores (0.33 vs. 0.26, p < 0.01), radiation oncologists and surgeons in sensitivity (0.48 vs. 0.69, p > 0.1), and radiation oncologists and radiologists/surgeons in specificity (0.89 vs. 0.56, p > 0.1). Indistinct capsular contour and nodal necrosis were significant predictors of correct pENE status among all specialties. Interobserver agreement was weak for all the radiographic criteria, regardless of specialty (κ<0.6). Multiobserver testing shows physician discrimination of HPV+OPC pENE on pre-operative CT remains non-different than blind guessing, with high interrater variability and low diagnostic accuracy, regardless of clinician specialty. While minor differences in diagnostic performance among specialties are noted, they do not significantly affect the overall poor agreement and discrimination rates observed. The findings underscore the need for further research into automated detection systems or enhanced imaging techniques to improve the accuracy and reliability of iENE assessments in clinical practice.

Development and Deployment of a Pre-Planned Hospital Emergency Response Team (HERT) for EMS Augmentation: Case Report and Program Review

With the establishment and growth of the Emergency Medical Services (EMS) subspecialty, significant attention has been focused on clinical activities performed by EMS physicians in the out-of-hospital environment. An EMS fellowship includes special operations education to develop preparedness for responding to field situations requiring physician expertise. With only a thousand Board Certified EMS physicians in North America, EMS physicians may not be available 24 h per day to respond to field emergencies. Non-EMS physicians with minimal experience in prehospital or austere care may be called upon to respond to complex prehospital emergencies requiring advanced skills. The Los Angeles County EMS Agency implemented a policy in 1992 to establish Hospital Emergency Response Teams (HERT) as a regional resource to provide time-critical, specialized prehospital services within an EMS system. Activation of the HERT is rare, most frequently prompted by need for field amputation to enable extrication. We describe one such incident of a field intervention by HERT and detail the staffing, training, and equipment considerations within our large regional EMS system.

Implementation and Validation of a High-fidelity Simulation Model for Surgical Resident Training: Management of Acute Intraoperative Hemorrhage during Robot-assisted Surgery

ObjectivesTo improve our previous simulation-based training module by using sustainable material to mold an anatomically accurate terrain and reproducing major vascular injuries encountered during robot-assisted nephrectomy. MethodsThe simulator was built with a pump, gauge, and valve linked via silicone tubing. Artificial blood was made from cornstarch, water, and red dye, and pumped through 3D-Med artificial vessels with the dimensions of an average renal artery. Silicone was used to emulate the pliability of organic tissue and mold an anatomically accurate terrain. Eight urologic residents participated in the pilot simulation. We employed validated assessment tools including Non-Technical Skills for Surgeons and Objective Structured Assessment of Technical Skills forms to guide debrief sessions moderated by an expert physician after individual performance evaluations. ResultsThe apparatus demonstrated high reproducibility across all simulation scenarios, enhancing resident problem-solving skills. Residents’ pre-simulation surveys revealed significant concern regarding their acute hemorrhage management. Residents’ post-simulation survey demonstrated average realism scores increased from 4.375 to 4.75. Residents also felt the simulator enhanced learning, offering valuable practice and knowledge applicable to their surgical specialty. ConclusionsThe management of acute hemorrhage during robot-assisted surgery remains a space for additional surgical education and training. Our simulation successfully provided a reliable, reproducible training for residents to practice their technical and non-technical skills in managing acute hemorrhage.

Obesity is associated with muscle atrophy in rotator cuff tear

ObjectiveThe primary goal of this study is to evaluate the relationship between Body Mass Index (BMI) and muscle atrophy in individuals with rotator cuff tears.MethodsThis study consists of patients with...

Prevalence and Risk Factors Associated with Chronic Occupational Low Back Pain among Healthcare Professionals Working at Hospitals: Exploratory Survey Study.

Objective This study aimed to describe the methodological process for developing a questionnaire to identify the prevalence and risk factors for chronic occupational low back pain in healthcare professionals working at hospitals. Method An exploratory crossectional survey study was carried out in Belo Horizonte, MG, Brazil, and its metropolitan region, in two stages. Initially, the authors prepared a questionnaire based on the Roland Morris disability questionnaire and sent it to a committee of low back pain specialists for validation using the Delphi technique. The second stage consisted of sending the final questionnaire to health professionals working in a hospital environment for at least 2 years and presenting chronic low back pain for at least 3 months. Results Validation occurred in two rounds of questionnaire adjustments by a panel consisting of physical therapists and physician experts in the field (orthopedists with more than 3 years of experience). Both rounds had 13 participants. The questionnaire initially consisted of 27 items, and, after validation, it had 19 items. The study included 65 subjects, with an average age of 40.91 years old and an average time working at a hospital of 40 hours per week. The total sample had 76.9% of physicians, 10.8% of physical therapists, and 12.3% of nurses or nursing technicians. Most (52.3%) subjects reported staying in uncomfortable positions affecting the lower back for 5 to 10 hours per day. Conclusion We developed and validated, using the Delphi technique, a questionnaire on the prevalence and risk factors associated with chronic occupational low back pain among healthcare professionals working at hospitals. This unprecedented tool can benefit the population studied since the questionnaires currently used to evaluate chronic low back pain are not specific for investigating the occupational cause of this condition.

Diagnostic Strategy Using Color Doppler Ultrasound of Temporal Arteries in Patients With High Clinical Suspicion of Giant Cell Arteritis : A Prospective Cohort Study.

Giant cell arteritis (GCA) is the most prevalent systemic vasculitis in people older than 50 years. Any delay in diagnosis impairs patients' quality of life and can lead to permanent damage, particularly vision loss. To evaluate a diagnostic strategy for GCA using color Doppler ultrasound of the temporal artery as a first-line diagnostic test, temporal artery biopsy (TAB) as a secondary test, and physician expertise as the reference method. Prospective multicenter study with a 2-year follow-up. (ClinicalTrials.gov: NCT02703922). Patients were referred by their general practitioner or ophthalmologist to a physician with extensive experience in GCA diagnosis and management in one of the participating centers: 4 general and 2 university hospitals. 165 patients with high clinical suspicion of GCA, aged 79 years (IQR, 73 to 85 years). The diagnostic procedure was ultrasound, performed less than 7 days after initiation of corticosteroid therapy. Only ultrasound-negative patients underwent TAB. Bilateral temporal halo signs seen on ultrasound were considered positive. Ultrasound and TAB results were compared with physician-diagnosed GCA based on clinical findings and other imaging. Diagnosis of GCA was confirmed in 44%, 17%, and 21% of patients by ultrasound, TAB, and clinical expertise and/or other imaging tests, respectively. Their diagnosis remained unchanged at 1 month, and 2 years for those with available follow-up data. An alternative diagnosis was made in 18% of patients. The proportion of ultrasound-positive patients among patients with a clinical GCA diagnosis was 54% (95% CI, 45% to 62%). Small sample size, no blinding of ultrasound and TAB results, lack of an objective gold-standard comparator, and single diagnostic strategy. By using ultrasound of the temporal arteries as a first-line diagnostic tool in patients with high clinical suspicion of GCA, further diagnostic tests for patients with positive ultrasound were avoided. Tender "Recherche CH-CHU Poitou-Charentes 2014."

Diagnosis and Therapy of Atheroscerotic Renal Artery Stenosis - Update 2024

Abstract Atherosclerotic renal artery stenosis (ARAS), an increasingly recognized disorder, may cause ischemic nephropathy and renovascular hypertension, that may occur separately or together. Patients with chronic kidney disease (CKD) resulting from atherosclerotic renal artery stenosis usually have high-grade stenosis of both renal arteries or stenosis to a solitary functioning kidney. Patients at risk for bilateral renal artery stenosis are also at risk for other disorders that can present with similar clinical findings but cannot be corrected by surgery or angioplasty; these include hypertensive nephrosclerosis and atheroembolic kidney disease. In clinical decision-making about screening for and therapy of ARAS, we balance the chance of improving renal function and blood pressure with the risks of interventional procedures. In this article we provide an overview of the epidemiology, diagnosis, and treatment of ARVD based on consensus recommendations from a panel of physician experts who attended the recent KDIGO (Kidney Disease: Improving Global Outcomes) Controversies Conference on central and peripheral arterial diseases in chronic kidney disease. The rapid progress in this field necessitates an update. Most focus is provided for contentious issues, and we also outline aspects of investigation and management of ARVD that require further research.

Prospective assessment of AI-enabled cost savings, continuous support, and psychosocial enhancement (AI New Era Study).

e13615 Background: Cancer patients (pts) need extensive primary care across their treatment journey, yet the world's primary health systems struggle with patient volume and resource scarcity. This study aims to assess the effectiveness of Artificial Intelligence (AI) medical service model in primary care and clinical service pre-screening, as well as their potential impact on improving the quality of medical services and reducing medical costs. Methods: A total of 17,856 medical consultation inquiries from 7,522 pts with various types of cancer have been collected and categorized. The study employed a novel AI-driven medical service model (based on large language model), amalgamating clinical guidelines with a local oncology database, to prospectively field questions from 454 cancer-afflicted pts. Clinicians evaluated the accuracy and comprehensiveness of the responses to basic medical issues, while pts assessed the intelligibility and satisfaction. Results: Treatment-related inquiries constituted 34.44% (n = 6,149) of the total, with 81.53% of pts asking such questions. Basic medical issues were addressed in 65.56% (n = 11,707) of inquiries, raised by 59.78% of pts. Specific concerns within basic medical issues included test report explanations (20.45%), adverse reaction consultations (19.82%), and medication information requests (17.66%). In light of the prevalence of basic medical issues, the study prospectively explores the potential of AI technology to revolutionize medical models, driving the advent of a new era in healthcare research. As result, the AI model exhibited high performance across several metrics: accuracy (96.87 ± 10.29), comprehensiveness (97.40 ± 9.91), intelligibility (95.72 ± 12.62), and satisfaction (96.34 ± 11.03). Notably, the model demonstrated a proficiency in identifying queries necessitating physician expertise, with a 95.60% accuracy rate upon review. A survey of 50 outpatients indicated an enhancement in service speed (7.78%) and patient satisfaction (14.29%). This increase in satisfaction was primarily ascribed to pts' heightened sense of control and safety. When benchmarked against GPT-4, the AI model's overall performance was significantly superior (95.08 ± 10.05 vs 89.70 ± 12.85, p&lt;0.01), particularly in domestic drug knowledge and gene report analysis. Conclusions: Largely fueled by the advanced capabilities of large language model, AI has the potential to profoundly reshape the entire patient care journey. Our AI medical service model efficiently meets key healthcare needs, addressing over half of clinical issues and cutting costs. It also guides pts to the right specialists for timely care. Early surveys indicate better primary care and improved doctor-patient relations. Further research is needed to understand AI's effects on fairness, access, and outcomes across varied demographic and socioeconomic strata.

Developing a Community-Based Exercise and Physical Programme for Runners With Patellofemoral Pain in Under-Resourced Communities: A Delphi Study

Background: Patellofemoral pain (PFP) is a multifactorial condition that is highly prevalent among recreational runners. Poor homeostasis between load and runner's capacity is the main cause of PFP. A low-cost and community-based intervention is needed to address the rehabilitation needs of runners in under-resourced communities. Purpose: To develop a community-based exercise and physical programme for runners with PFP in under-resourced communities. Method: This study used a Delphi method that included sports experts (physicians, physiotherapists, biokineticists, podiatrists, and sports therapists) who consented to participate. Delphi included three rounds of iterations to attain consensus among experts. Experts reached a consensus by rating PFP programme items using the 5-point Likert scale. Results: Ten experts participated. There were more males ( n = 6) than females ( n = 4). Participants were aged between 36 and 55 years ( n = 5) and had 16-20 years of clinical experience ( n = 5). Delphi process yielded an exercise and physical intervention, which included the following 10 recommended strategies: hip muscle training, quadriceps muscle training, general lower limb and trunk strengthening, use of appropriate running shoes, and use of prefabricated in-shoe foot orthosis, tissue mobilisation, patellar taping/bracing, education, flexibility exercises, addressing external loads, and addressing nonphysical internal loads. Conclusions: A consensus was reached for a suitable exercise and physical programme for runners in under-resourced communities. A follow-up implementation study is, therefore, recommended.

Patient self-referral patterns in a developing country: characteristics, prevalence, and predictors

BackgroundEfficient healthcare delivery and access to specialized care rely heavily on a well-established healthcare sector referral system. However, the referral system faces significant challenges in developing nations like Bangladesh. This study aimed to assess self-referral prevalence among patients attending tertiary care hospitals in Bangladesh and identify the associated factors.MethodsThis cross-sectional study was conducted at two tertiary care hospital, involving 822 patients visiting their outpatient or inpatient departments. A semi-structured questionnaire was used for data collection. The patients’ mode of referral (self-referral or institutional referral) was considered the outcome variable.ResultsApproximately 58% of the participants were unaware of the referral system. Of all, 59% (485 out of 822) of patients visiting tertiary care hospitals were self-referred, while 41% were referred by other healthcare facilities. The primary reasons for self-referral were inadequate treatment (28%), inadequate facilities (23%), critical cases (14%), and lack of expert physicians (8%). In contrast, institutional referrals were mainly attributed to inadequate facilities to treat the patient (53%), inadequate treatment (47%), difficult-to-treat cases (44%), and lack of expert physicians (31%) at the time of referral. The private facilities received a higher proportion of self-referred patients compared to government hospitals (68% vs. 56%, p < 0.001). Among patients attending the study sites through institutional referral, approximately 10% were referred from community clinics, 6% from union sub-centers, 25% from upazila health complexes, 22% from district hospitals, 22% from other tertiary care hospitals, and 42% from private clinics. Patients visiting the outpatient department (adjusted odds ratio [aOR] 3.3, 95% confidence interval [CI] 2.28–4.82, p < 0.001), residing in urban areas (aOR 1.29, 95% CI 1.04–1.64, p = 0.007), belonging to middle- and high-income families (aOR 1.34, 95% CI 1.03–1.62, p = 0.014, and aOR 1.98, 95% CI 1.54–2.46, p = 0.005, respectively), and living within 20 km of healthcare facilities (aOR 3.15, 95% CI 2.24–4.44, p-value < 0.001) exhibited a higher tendency for self-referral to tertiary care facilities.ConclusionsA considerable number of patients in Bangladesh, particularly those from affluent urban areas and proximity to healthcare facilities, tend to self-refer to tertiary care centers. Inadequacy of facilities in primary care centers significantly influences patients to opt for self-referral.

The Production, Assessment, and Utility of 3D-Printed Video Laryngoscopes in Eastern India: A Low-Cost Alternative to Conventional Video Laryngoscopes.

Introduction Recognizing the limitations of traditional direct laryngoscopes, particularly in difficult airway situations, video laryngoscopy has emerged as a potentially safer and more effective alternative. This study evaluated the utility of two 3D-printed video laryngoscopes: a standard geometry video laryngoscope (SGVL), resembling the traditional Macintosh blade, and a hyper-angulated video laryngoscope (HAVL) with a more curved design. Their performance was compared to a standard Macintosh direct laryngoscope across various intubation parameters. By leveraging the cost-effectiveness of 3D printing with polylactic acid, the study aimed to assess the potential of this technology to improve airway management across diverse clinical settings and varying levels of physician expertise. Methods This prospective randomized crossover study compared the effectiveness of 3D-printed video laryngoscopes (VL) and a standard direct laryngoscope in intubation. After obtaining IRB approval, physicians from various specialties across multiple centers participated. Participants received training on SGVL, HAVL, and DL intubation using an instructional video and hands-on practice. The training was standardized for all participants. The primary outcome measures were time to successful intubation, number of attempts, and time to visualize vocal cords. Participants were randomized to use all three laryngoscopes on a manikin, with a maximum of two attempts per scope. A 30-minute break separated each laryngoscope evaluation. Successful intubation was defined as the single insertion of each laryngoscope and bougie, followed by endotracheal tube placement and confirmation of lung inflation. Results Ninety-eight doctors, mostly from the EM team (73.5%) and ICU team (23.4%). Teams consist of consultants, residents, and medical officers of the concerned departments. Forty-eight of the participants (49%) were novice operators (<25 intubations). Successful first-attempt intubation in those with <1 year of experience with intubation (n=33) was highest for SGVL (97%) compared to DL (82%) and HAVL (67%). Participants who learned intubation through self-directed learning exhibited a higher acceptance of VL and achieved 100% success on their first attempt. Among those who followed modules or workshops, 97% had successful first-attempt intubation with VL. The average time taken to visualize the vocal cords was lower in SGVL compared to DL (5.6 vs. 7.5 seconds) (p<0.001). The HAVL also had a lower average time compared to the DL (7.1 vs. 7.5 secs) (p<0.001). However, the time taken to intubate using DL (24.2 ±8.7 sec) was similar to SGVL (28.1 ±13 sec). Lastly, the intubation time using HAVL was the longest (49.6 ±35.5 sec). The time to intubate with DL and SGVL had Spearman's rho of 0.64 (p<0.001), and DL and HAVL had 0.59 (p<0.001). Conclusions The ease of use and its cost-effective nature make 3D-printed VLs beneficial in situations where traditional VLs may not be available, especially in simulation and training.

Antireflux Procedures in Children With Neurologic Impairment: A National Survey of Physician Perspectives.

Decision-making about antireflux procedures (ARPs) to treat gastroesophageal reflux disease in children with neurologic impairment and gastrostomy tubes is challenging and likely influenced by physicians' experience and perspectives. This study will explore physician attitudes about ARPs and determine if there are relationships to clinical practice and personal characteristics. This is a national observational cross-sectional study that used an electronic questionnaire addressing reported practice, attitudes regarding the ARPs, and responses to clinical vignettes. Participants were physicians in Canadian tertiary-care pediatric settings. Descriptive statistics were used to analyze physician attitudes. Multivariable logistic regression modeling was used to determine associations between physician and practice characteristics and likelihood to consider ARP. Eighty three respondents represented 12 institutions, with a majority from general or complex care pediatrics. There was a wide disparity between likelihood to consider ARP in each clinical scenario. Likelihood to consider ARP ranged from to 19% to 78% depending on the scenario. Two scenarios were equally split in whether the respondent would offer an ARP. None of the demographic characteristics were significantly associated with likelihood to consider ARP. Often, gastrojejunostomy tubes alone were considered (56% to 68%). There is considerable variability in physician attitudes toward and recommendations regarding ARPs to treat gastroesophageal reflux disease. We did not find a significant association with clinical experience or location of practice. More research is needed to define indications and outcomes for ARPs. This is a scenario where shared decision-making, bringing together physician and family knowledge and expertise, is likely the best course of action.

Advancements in AMA Guides Musculoskeletal Impairment Evaluations: Improved Reliability and Ease of Use.

Describe and evaluate methodological improvements in AMA Guides to the Evaluation of Permanent Impairment ( Guides ) Sixth Edition 2024, including an updated sequential method and enhanced diagnosis-based impairment tables, compared to the Guides Sixth 2008. Three physician experts and 3 premedical students, respectively, completed 2 rounds of impairment ratings using the AMA Guides Sixth 2008 versus 2024 methods. Impairment values and completion times using each method were compared for both groups. Time to complete an impairment rating by experts averaged 3.5 minutes using Guides 2024 compared with 13.9 minutes using Guides 2008, with 100% accuracy and reliability for both. Students' time averaged 5.3 and 15.9 minutes, respectively, with increased accuracy and reliability with Guides 2024. The Guides Sixth 2024 allowed more efficient impairment ratings while retaining accuracy, consistency, reliability, and reproducibility.

Role of Ayurvedic Herbs in the Management of Celiac Disease

Celiac disease or gluten-sensitive enteropathy is an autoimmune hypersensitivity disorder affecting the small intestine. It occurs due to an inappropriate immune reaction to gluten, which results in inflammation and damage to the small intestine. One of the most prevalent illnesses, celiac disease, is brought on by both environmental (gluten) and genetic causes of human leukocyte antigen (HLA) and non-HLA genes. The prevalence of celiac disease has been estimated to approximate 0.5%-1% in different parts of the world. Due to improved physician awareness and expertise, as well as the widespread use of extremely sensitive and precise diagnostic tests for celiac disease, the prevalence of celiac disease has considerably grown in the past 30 years. While older children have either limited or unusual symptoms, only a small percentage of celiac patients have the classic signs of the condition like chronic or intermittent diarrhea, failure to thrive, weight loss, delayed puberty, short stature, nausea, vomiting, chronic abdominal pain, abdominal distension, chronic constipation. Early detection of celiac disease is crucial to preventing long-term consequences. According to Ayurveda, some symptoms of celiac disease found in Grahani Dosha. Grahani is described as an Agni Adhisthana by most of Acharya. Mandagini is the root cause of Ama Dosha, and it is a crucial factor for the manifestation of most diseases. The treatment approach of celiac disease in Ayurveda medicinal science involves the intake of various preparations of some specific medicinal plants like Kutaja (Holarrhena antidysenterica) Pippali, (Piper longum Linn.), Chitraka, (Plumbago zeylanica) Guduchi, (Tinospora cordifolia) Ashwagandha, (Withania somnifera), Haridra (Curcuma longa Linn.), etc which have Agni Deepana and Ama Pachana properties. These illness-specific medicinal herbs help normalize digestive fire and evict "Ama" toxins from the body channels, which pacify the vitiated Agni and maintain homeostasis among vitiated Doshas.

Does an aptitude for surgery exist and can we predict it? An experimental study.

The selection and allocation of surgeons with a greater potential for high surgical performance are essential aspects of improving the quality, safety, and effectiveness of surgical procedures. Objective of this trial was to determine the existence of basic skills and traits that would predict better performance in surgery, and those predictive factors that constitute a driving force in different stages of training. The randomized crossover training trial took place from January 2021 to December 2021 and was conducted at an educational training center for minimally invasive surgery. A total of n =87 physicians (residents and experts) from surgical disciplines and n =239 fifth-year medical students were studied. The participants underwent extensive neuropsychological testing and surgical training, which was performed with conventional as well as robot-assisted laparoscopy by way of identical brief tasks conducted six times in a randomized crossover setting. Main Outcome was the latent factor structure of 'psychomotor skills', 'personality', and 'motivation' based on structural equation modeling. The training performance of both students and physicians was significantly explained by the interaction of the three factors (explained variance: 8.2% for students, 23.8% for physicians). In students, motivation (explained variance 8.4%) and personality (explained variance 4.5%) revealed the highest contribution to surgical training performance (explained variance through psychomotor skills 1.1%). In physicians, psychomotor skills (explained variance 27.4%) made the greatest contribution to surgical training performance (explained variance through motivation 2.3%; explained variance through personality 10.5%). The study showed that surgical performance is sensitive to, and fragile in regard of nonsurgery-related general individual traits. This aligns with the notion that early selection of surgeons with prospects of high surgical performance is possible, and perhaps even necessary in order to keep up with future demands on the medical system.

Comparing Visual and Software-Based Quantitative Assessment Scores of Lungs' Parenchymal Involvement Quantification in COVID-19 Patients.

(1) Background: Computed tomography (CT) plays a paramount role in the characterization and follow-up of COVID-19. Several score systems have been implemented to properly assess the lung parenchyma involved in patients suffering from SARS-CoV-2 infection, such as the visual quantitative assessment score (VQAS) and software-based quantitative assessment score (SBQAS) to help in managing patients with SARS-CoV-2 infection. This study aims to investigate and compare the diagnostic accuracy of the VQAS and SBQAS with two different types of software based on artificial intelligence (AI) in patients affected by SARS-CoV-2. (2) Methods: This is a retrospective study; a total of 90 patients were enrolled with the following criteria: patients' age more than 18 years old, positive test for COVID-19 and unenhanced chest CT scan obtained between March and June 2021. The VQAS was independently assessed, and the SBQAS was performed with two different artificial intelligence-driven software programs (Icolung and CT-COPD). The Intraclass Correlation Coefficient (ICC) statistical index and Bland-Altman Plot were employed. (3) Results: The agreement scores between radiologists (R1 and R2) for the VQAS of the lung parenchyma involved in the CT images were good (ICC = 0.871). The agreement score between the two software types for the SBQAS was moderate (ICC = 0.584). The accordance between Icolung and the median of the visual evaluations (Median R1-R2) was good (ICC = 0.885). The correspondence between CT-COPD and the median of the VQAS (Median R1-R2) was moderate (ICC = 0.622). (4) Conclusions: This study showed moderate and good agreement upon the VQAS and the SBQAS; enhancing this approach as a valuable tool to manage COVID-19 patients and the combination of AI tools with physician expertise can lead to the most accurate diagnosis and treatment plans for patients.

Assessing the interrater and intrarater reliability of subglottic stenosis grading systems

BackgroundSubglottic stenosis (SGS) is a condition leading to narrowing of the upper airway which can lead to dyspnea and life-threatening airway obstruction. Although other proposed grading systems exist, the Cotton Myer (CM) and percent stenosis systems are the most widespread in clinical practice. Despite this, the CM system has not yet been validated for visual assessment of SGS. ObjectiveTo determine the interrater and intrarater reliability of the CM grading system among a cohort of physicians who manage patients with SGS. MethodsAn online survey created with videos of tracheoscopies from 20 adult patients with subglotticstenosis (SGS) was sent individually to 9 expert physicians from various medical specialties, all of whom managed patients with SGS. Physicians were asked to view the 20 tracheoscopy videos and assess both the percent stenosis and Cotton Myer (CM) grade of each patient. After a period of 4 weeks, the physicians were sent the same survey of the 20 tracheoscopy videos. The interrater and intrarater reliability was calculated using the intraclass correlation coefficient (ICC), a measurement used to evaluate the reliability (the extent to which a measurement can be replicated) of two or more raters measuring the same subject. ResultsOverall, CM and percent stenosis systems were found to have an ICC of 0.94 and 0.90 within the domain of interrater reliability, respectively, and ICC of 0.71 and 0.81 within the domain of intrarater reliability, respectively. ConclusionOur findings suggest that the CM and percent stenosis grading systems remain a valid clinical tool to measure and communicate the severity of airway obstruction in SGS.

P129 Interdisciplinary collaboration in the care of patients with connective tissue disease-related interstitial lung disease in Wales: an interview study

Abstract Background/Aims Patients with connective tissue disease-related interstitial lung disease (CTD-ILD) often receive care from both rheumatologists and respiratory physicians to manage their conditions. As treatment options become increasingly complex with immunosuppressing and antifibrotic agents, there is a growing recognition of the importance of collaborative approaches to ensure accurate diagnosis, aid management decisions and deliver patient-centred care. However, there is currently no agreed optimal model for shared care, leading to significant practice variation. This study aimed to explore the perspectives of rheumatologists and respiratory physicians regarding the benefits and challenges of cross-speciality management in CTD-ILD. A better understanding of this will enhance the development of services and improve patient-centred care. Methods Semi-structured interviews, both face-to-face and virtual, were conducted with 11 respiratory physicians and nine rheumatologists working in Wales, ensuring representation from all health boards. Interview transcripts were analysed using thematic analysis to identify themes. Results Five main themes were identified: navigating complexity and uncertainty, reliance on clinical experience, prioritisation of efficiency, educational and training benefits, and inconsistent access to services for clinicians and patients. Conclusion The complexity of CTD-ILD care, combined with varying levels of physician expertise and a perceived lack of guidelines, presents significant challenges for clinicians. Cross-speciality collaboration is actively sought by physicians and is perceived to enhance patient care by improving efficiency, aiding confidence in decision-making and providing educational benefits to clinicians. However, resource limitations and geographical variations in service access hinder the implementation and development of shared care models. Physicians perceive that patients like being seen in joint clinics; future exploration of patient perspectives and experiences of joint care systems will be crucial to ensure the direction of clinical practice development remains patient-centred. In addition to implementing integrated cross-speciality clinical services, the development of joint respiratory and rheumatology guidelines as well as greater availability of training opportunities would assist physicians in delivering optimal care to patients with CTD-ILD. Disclosure P. Evans: None. K. Hett: None. N. Hutchinson: None. C. Beynon: None.

Path planning algorithm for percutaneous puncture lung mass biopsy procedure based on the multi-objective constraints and fuzzy optimization.

Objective. The percutaneous puncture lung mass biopsy procedure, which relies on preoperative CT (Computed Tomography) images, is considered the gold standard for determining the benign or malignant nature of lung masses. However, the traditional lung puncture procedure has several issues, including long operation times, a high probability of complications, and high exposure to CT radiation for the patient, as it relies heavily on the surgeon's clinical experience.Approach.To address these problems, a multi-constrained objective optimization model based on clinical criteria for the percutaneous puncture lung mass biopsy procedure has been proposed. Additionally, based on fuzzy optimization, a multidimensional spatial Pareto front algorithm has been developed for optimal path selection. The algorithm finds optimal paths, which are displayed on 3D images, and provides reference points for clinicians' surgical path planning.Main results.To evaluate the algorithm's performance, 25 data sets collected from the Second People's Hospital of Zigong were used for prospective and retrospective experiments. The results demonstrate that 92% of the optimal paths generated by the algorithm meet the clinicians' surgical needs.Significance.The algorithm proposed in this paper is innovative in the selection of mass target point, the integration of constraints based on clinical standards, and the utilization of multi-objective optimization algorithm. Comparison experiments have validated the better performance of the proposed algorithm. From a clinical standpoint, the algorithm proposed in this paper has a higher clinical feasibility of the proposed pathway than related studies, which reduces the dependency of the physician's expertise and clinical experience on pathway planning during the percutaneous puncture lung mass biopsy procedure.