Preoperative Risk Assessment Research Articles

Abstract 4132152: Cardiovascular Procedures for Hospitalized Patients with Hypertrophic Cardiomyopathy requiring Valvular Heart Repair/Replacement or Coronary Artery Revascularizations: A Risk-Stratified Analysis of a Large National Database

Background: Hypertrophic cardiomyopathy (HCM) is associated with increased mortality mainly due to sudden cardiac arrest. However, it is not clear how HCM affects in-hospital mortality among patients hospitalized due to other cardiovascular conditions requiring intervention. Methods: National Inpatient Sample (NIS) database was queried from 2016 to 2020 to identify hospitalized patients with a diagnosis of HCM. Patients with HCM were stratified based on their concomitant cardiovascular conditions necessitating interventions. Results: Data pertinent to 278,995 admission cases with HCM was analyzed. Of this, 15,035 cases had concomitant non-ST elevation MI (NSTEMI), and 1,230 cases had ST-elevation MI (STEMI). Additionally, 15,100 cases were diagnosed with aortic valve diseases (AVD), 33,580 had concomitant mitral valve diseases (MVD), 5,580 cases had tricuspid valve diseases (TVD), and 16,815 cases had pulmonary valve diseases (PVD). Cardiovascular procedures were more common among HCM patients with concomitant STEMI (43.5%) followed by HCM patients with AVD (17.1%) and HCM patients with NSTEMI (16.9%). Stratification of mortality rate based on cardiovascular procedures and the underlying indication revealed CABG to have the highest mortality rate for HCM patients with STEMI (25%), followed by PCI for HCM patients with STEMI and HFrEF (12.5%). HCM patients with NSTEMI undergoing revascularization had higher mortality when PCI was performed for HFrEF cases and when CABG was performed for HFpEF cases. For HCM patients with AVD requiring repair or replacement, TAVR was superior to SAVR if performed in patients with HFpEF but was inferior among HFrEF subgroup in terms of in-hospital mortality. For subgroup of HCM patients with MVD, transcatheter replacement was associated with a lower mortality than surgical repair regardless of concomitant heart failure. Data was insufficient for HCM patients with concomitant TVD or PVD undergoing repair or replacement procedures. Conclusions: Among hospitalized patients with HCM, concomitant HFrEF but not HFpEF is associated with a significantly higher mortality rate regardless of the underlying cardiovascular conditions requiring revascularization or heart valvular repair. A more comprehensive preoperative risk assessment could delineate the ideal procedures for HCM patients with certain comorbidities and specific need.

Establishment of a Predictive Model for Seroma Formation After TAPP Repair for Unilateral Indirect Inguinal Hernia in Males

Background Inguinal hernia repair, particularly using TAPP, is common in males, and acclaimed for minimal invasiveness but often complicated by seromas, significantly affecting recovery and health care costs. Methods This retrospective study analyzed data from 266 male patients with unilateral indirect inguinal hernia who underwent transabdominal preperitoneal (TAPP) repair. We divided the patients into a training set (n = 188) and a validation set (n = 78). We employed logistic regression to identify independent risk factors for post-TAPP seroma and developed a nomogram to predict the occurrence of seromas. The model’s accuracy was evaluated using receiver operating characteristic (ROC) curves, Hosmer-Lemeshow goodness-of-fit test, calibration curves, and decision curve analysis (DCA). Results Postoperatively, 20.3% of patients developed a seroma. Multivariate logistic regression analysis highlighted several independent risk factors for seroma formation: the use of anticoagulants, an internal ring defect ≥5 cm, scrotal hernia, incarcerated hernia, and transected hernia sac ( P < 0.05). The ROC curves for the training and validation sets demonstrated areas under the curve of 0.893 (95% CI: 0.845-0.942) and 0.864 (95% CI: 0.765-0.963), respectively, indicating good model fits ( P > 0.05). DCA confirmed significant clinical applicability of the model. Conclusion The findings suggest that the use of anticoagulants, an internal ring defect ≥5 cm, scrotal hernia, incarcerated hernia, and transected hernia sac are significant independent risk factors for seroma formation after TAPP repair. Clinical consideration of these factors and proactive preventive measures are essential. Although many of these factors are non-modifiable, understanding them is crucial for preoperative risk assessment and patient management.

Preoperative bleeding risk assessment in cardiac surgery patients

One of the most important aspects in achieving successful outcomes in cardiac surgery is the evaluation of the risk of bleeding during and after the procedure. Preoperative anemia, intraoperative bleeding, and transfusion therapy contribute to a cumulative risk of adverse events. Given the limitations of traditional coagulation tests, a more comprehensive and patient-centered approach is necessary. Factors affecting the risk of bleeding should be considered from the perspective of both individual patient characteristics and the specific type and extent of the planned surgical intervention. The risk assessment should be informed by individual and familial history, as well as previous episodes of bleeding or other relevant information. The use of bleeding risk scales can play a crucial role in this process, providing valuable insights into the likelihood of bleeding complications. In conclusion, a comprehensive approach that takes into account the unique characteristics of each patient and the specific details of the surgical procedure is essential for minimizing the risk of complications and ensuring successful outcomes.

Iterative random forest-based identification of a novel population with high risk of complications post non-cardiac surgery

Assessing the risk of postoperative cardiovascular events before performing non-cardiac surgery is clinically important. The current risk score systems for preoperative evaluation may not adequately represent a small subset of high-risk populations. Accordingly, this study aimed at applying iterative random forest to analyze combinations of factors that could potentially be clinically valuable in identifying these high-risk populations. To this end, we used the Japan Medical Data Center database, which includes claims data from Japan between January 2005 and April 2021, and employed iterative random forests to extract factor combinations that influence outcomes. The analysis demonstrated that a combination of a prior history of stroke and extremely low LDL-C levels was associated with a high non-cardiac postoperative risk. The incidence of major adverse cardiovascular events in the population characterized by the incidence of previous stroke and extremely low LDL-C levels was 15.43 events per 100 person-30 days [95% confidence interval, 6.66–30.41] in the test data. At this stage, the results only show correlation rather than causation; however, these findings may offer valuable insights for preoperative risk assessment in non-cardiac surgery.

Medico-legal considerations in immediate loading implantology: risks, responsibilities, and best practices.

The field of immediate loading implantology has grown rapidly, offering quicker solutions for prosthetic rehabilitation. However, the complexity of this technique raises significant medico-legal concerns regarding patient safety, treatment planning, and professional liability. These issues are particularly relevant in elective procedures where failure could lead to litigation. A comprehensive review of current literature, including clinical studies, legal rulings, and malpractice claims, was conducted to assess the legal implications of immediate loading implantology. The analysis focused on professional liability, patient consent, and complications during treatment. The evidence indicates that a high standard of care, including detailed preoperative planning, risk assessment, and clear patient communication, is essential in minimizing legal risks. Malpractice claims often arise from inadequate patient information or failure to follow established protocols. Proper documentation of informed consent and adherence to evidence-based dentistry (EBD) guidelines are crucial to protect both patients and practitioners. Immediate loading implantology offers numerous benefits, but it requires meticulous planning and patient management to avoid medico-legal issues. Ensuring comprehensive patient consent and following evidence-based practices are key to reducing professional liability and improving outcomes. Further studies should explore standardized protocols for reducing complications and legal disputes in implantology.

Impact of routine pre-operative risk assessment on patients undergoing emergency major abdominal surgery in a regional Victorian hospital.

Routine preoperative risk assessment (RPRA) using objective risk prediction tools may improve the perioperative outcomes of emergency major abdominal surgery (EMAS). This project aims to identify whether the introduction of RPRA with the 'National Emergency Laparotomy Audit (NELA) Calculator' as standard-of-care for EMAS at a regional Victorian hospital has improved postoperative outcomes, reduced unplanned postoperative critical care unit (CCU) admission rates, and impacted the 'no-lap' rate. An audit was performed including all adult general surgery patients who required EMAS at Bendigo Health between September 2017 and August 2022, including those palliated up-front. Patients requiring surgery for uncomplicated appendicitis, cholecystitis, trauma, and diagnostic laparoscopy were excluded. Patient demographics, preoperative NELA score, CCU admission data and postoperative outcomes were collected and compared between patients undergoing surgery before and after the introduction of RPRA. Six hundred and ninety-one patients were included in the analysis. Median NELA score was 5 (IQR 1.5-11.75). 2.60% of patients were palliated up-front and did not proceed to surgery. Among the 673 operative patients, 30-day mortality was 5.20%. Following the introduction of RPRA there was a significant reduction in the unplanned CCU admission rate, from 9.14% to 3.48% (P = 0.04). There was no change in postoperative mortality, severe complication rate or planned CCU admission rate. RPRA reduced rate of unplanned CCU admissions. Postoperative mortality and complication rates did not change following introduction of RPRA. RPRA appears useful in guidance of preoperative palliative decision-making, but further study is required to validate its use in this context.

An artificial intelligence-enabled electrocardiogram model outperforms the revised cardiac risk index score for predicting major adverse cardiovascular events in patients undergoing noncardiac surgery

Abstract Background Existing clinical preoperative risk assessment tools such as the Revised Cardiac Risk Index (RCRI) have been used extensively to predict perioperative major adverse cardiovascular events (MACE). Electrocardiogram (ECG) analysis using Deep Learning can identify hidden features that human eyes cannot identify and might help further risk stratify patients undergoing noncardiac surgery. Objective We aimed to develop a Deep Learning model that predicts perioperative MACE in patients undergoing elective noncardiac surgeries. Methods We included patients ≥ 18-year-old who underwent elective non-cardiac surgery between 2000-2021. MACE was validated in duplicate and were defined as a composite of in-hospital myocardial infarction, cardiac arrest or mortality. A convolutional neural network was developed using ECGs within 30 days before surgery. We randomly split subjects into training, internal validation, and testing datasets in a 7:1:2 ratio. Performance was evaluated using the area under the receiver operator characteristics curve (AUC) values on the testing dataset. Models trained included AI-ECG models to predict in-hospital MACE and to predict in-hospital mortality, and AI-ECG+RCRI models to predict in-hospital MACE and to predict in-hospital mortality. All models were validated using 30-day validated outcomes (MACE or all-cause mortality) in a community-based cohort and were compared with the Revised Cardiac Risk Index (RCRI) score using AUC values. Findings: We included 195,214 patients who underwent a total of 241,999 surgeries. 169,214 ECGs were used in the training dataset, 24,234 in the internal validation dataset, and 48,551 in the testing dataset. In the test cohort, the AI-ECG algorithm discriminated risk for in-hospital MACE with an AUC of 0.82 (95% CI 0.79-0.85). The algorithm similarly discriminated 30-day MACE with an AUC value of 0.79 (95% CI 0.77-0.81) surpassing the discrimination of the RCRI score AUC of 0.69 (95% CI 0.66-0.72). All models’ performances are shown in Figure1A. The AI-ECG model to predict in-hospital mortality had an AUC of 0.83 (95% CI 0.80-0.86) and predicted 30-day mortality with an AUC of 0.80 (95% CI 0.77-0.82). Other models’ performances are shown Figure1B. Training the AI-ECG models including RCRI data did not improve the AI-ECG models’ performance. Conclusion AI-ECG models with no additional clinical data can improve perioperative risk prediction in non-cardiac surgery, outperforming a conventional and widely used risk stratification tool such as the RCRI.

Surgical treatment of infective endocarditis: some experiences at the Heart Institute, Ho Chi Minh City

Objective: To determine the factors associated with in-hospital mortality and the appropriate timing of operation in patients with infective endocarditis undergoing cardiac surgery. Methods: Cross-sectional study in patients admitted to the Heart Institute from 01/01/2021 to 31/12/2023 who had a diagnosis of infective endocarditis and had undergone cardiac surgery within the same hospital admission. Results: 128 patients (87 men, age: 44,8 ± 15,8 years) were enrolled. Streptococcus (37,5%) and Enterococcus (12,5%) were the most frequent pathogen agents. Aortic valve replacement and mitral valve replacement or repair were the main procedures. In-hospital mortality was 6.3%. The factors associated with in-hospital mortality included the presence of a prosthetic valve or pulmonary artery graft, abscess and/or fistula, and severe heart failure necessitating urgent operation. Preoperative duration of antibiotic therapy >21 days vs ≤21 days, and >14 days vs ≤14 days had no influence on in-hospital mortality. There was no infective endocarditis relapse. While waiting for cardiac surgery, the cumulative incidence of embolic events rose markedly beginning from the 3rd week after antibiotic therapy initiation. Conclusions: Factors associated with in-hospital mortality should be taken into account in the preoperative risk assessment. Patients with infective endocarditis who have indication for cardiac surgery and favorable response to antibiotic therapy should be operated after 2 weeks of antibiotic treatment.

Meta-analysis and systematic review of factors predicting conversion to radical nephrectomy following robotic-assisted partial nephrectomy in renal cancer patients.

Evaluating the risk factors for the conversion from robotic-assisted partial nephrectomy (RAPN) to radical nephrectomy (RN). Through a comprehensive database search encompassing PubMed, Web of Science, Embase, and the Cochrane Library, we identified pertinent English-language research published by June 2024. We utilized the NOS scale for quality assessment. The aggregate effect was quantified via the odds ratio (OR), alongside a 95% confidence interval (CI). Sensitivity analyses were conducted using both fixed-effects and random-effects models to evaluate reliability. The meta-analytical process was facilitated by the Stata 18 software suite. Our meta-analysis encompassed a total of 8 retrospective studies and 3 prospective studies, totaling 4056 patients. We found that increasing patient age (OR: 1.04; 95% CI 1.00-1.08; P = 0.005), higher American Society of Anesthesiologists (ASA) scores (3 or above) (OR: 2.74; 95% CI 1.52-4.93; P = 0.001), elevated R.E.N.A.L. scores (7 or above) (OR: 2.49; 95% CI 1.57-3.95; P < 0.001), and the use of off-clamp RAPN (OR: 7.21; 95% CI 2.60-19.93; P < 0.001) significantly raised the odds of surgical conversion. On the other hand, male sex (OR: 1.04; 95% CI 0.67-1.62; P = 0.858), the side of the tumor (OR: 0.97; 95% CI 0.48-1.95; P = 0.936), tumor size (OR: 3.43; 95% CI 0.57-20.55; P = 0.177), body mass index (BMI) (OR: 1.03; 95% CI 0.96-1.11; P = 0.426), clinical stage (OR: 3.78; 95% CI 0.46-30.70; P = 0.214), and the use of single-port RAPN (OR: 0.54; 95% CI 0.16-1.78; P = 0.31) did not show a statistically significant link to an increased conversion risk. This meta-analysis elucidates the critical risk factors for the conversion from robotic-assisted partial nephrectomy to radical nephrectomy, providing significant guidance for preoperative risk assessment and clinical decision-making. However, our findings necessitate validation through studies with larger sample sizes.

Computed Tomography-Derived Fractional Flow Reserve: Developing A Gold Standard for Coronary Artery Disease Diagnostics.

In recent years, a new technique called computed tomography-derived fractional flow reserve (CT-FFR) has been developed. CT-FFR overcomes many limitations in the current gold-standard fractional flow reserve (FFR) techniques while maintaining a better concordance with FFR. This technique integrates static coronary CT angiography data with hydrodynamic models, employing algorithms rather than guidewire interventions to compute the FFR. In addition to diagnosing coronary heart disease, CT-FFR has been applied in the preoperative risk assessment of major adverse cardiovascular events (MACEs) in organ transplantation and transcatheter aortic valve replacement (TAVR). Continuous advancements in CT-FFR techniques and algorithms are expanding their applicability to other methodologies. Subsequently, with robust clinical trial validation, CT-FFR can potentially supersede FFR as the primary "gatekeeper" for interventions.

Novel Challenges and Opportunities for Anesthesia and Perioperative Care in Microvascular Flap Surgery: A Narrative Review.

Complex microvascular techniques and in-depth knowledge of blood rheology and microanastomosis function are required for success in microvascular flap surgery. Substantial progress has been achieved in preventing complications, but the rate of flap loss is still significant and can have significant adverse effects on the patient. Flap thrombosis, flap hematoma, and flap loss are the most frequent and severe major surgical complications. Advances in understanding the pathophysiology of different flap complications, the use of preoperative risk assessment and new treatment concepts could improve the perioperative care of microvascular flap surgery patients. Our aim was to outline novel avenues for best practice and provide an outlook for further research of anesthesia and perioperative care concepts in microvascular flap surgery.

Preoperative clinical characteristics and risk assessment in Sun’s modified classification of Stanford type A acute aortic dissection

ObjectivesThis study aims to retrospectively analyze the clinical features of Stanford type A acute aortic dissection (TAAAD) based on Sun’s modified classification, and to investigate whether the Sun’s modified classification can be used to assess the risk of preoperative rupture.MethodsClinical data was collected between January 2018 and June 2019. Data included patient demographics, history of disease, type of dissection according to the Sun’s modified classification, time of onset, biochemical tests, and preoperative rupture.ResultsA total of 387 patients with TAAAD who met the inclusion criteria of Sun’s modified classification were included. There were more complex types, with 75, 151 and 140 patients in the type A1C, A2C and A3C groups, respectively. The age of the entire group of patients was 51.46 ± 12.65 years and 283 (73.1%) were male. The time from onset to the emergency room was 25.37 ± 30.78 h. There were a few cases of TAAAD combined with stroke, pericardial effusion, pleural effusion, and lower extremity and organ ischemia in the complex type group. The white blood cell count (WBC), neutrophil count (NEC) and blood amylase differed significantly between the groups. Three independent risk factors for preoperative rupture were identified: neutrophil count, blood potassium ion level, and platelet count. Binary logistic regression analysis showed that the Sun’s modified classification could not be used to assess the risk of preoperative rupture in TAAAD.ConclusionTAAAD was classified as the complex type in most patients. WBC, NEC and blood amylase were significantly different between the groups. NEC and serum potassium ion level were independent risk factors for preoperative rupture of TAAAD, while platelet count was its protective factor. More samples are needed to determine whether Sun’s modified classification can be used to evaluate the risk of preoperative rupture.

Influence of vascular graft type for ascending aorta replacement on the early postoperative outcome.

Aim of this study was to find out if the type of vascular prosthesis used, especially collagen impregnated polyester versus gelatin impregnated woven fabric graft, has any impact on the early postoperative bleeding rate, blood product consumption and re-thoracotomy rate in isolated ascending aortic surgery. n = 46 consecutive patients who received a supra-commissural replacement of the ascending aorta between 01/2016 - 01/ 2021 were included in this retrospective single-center study. The underlying pathology was an aortic aneurysm in 36 (81 %) and/or an acute type A aortic dissection (ATAAD) limited to the ascending aorta in 7 (15 %) and/or a penetrating aortic ulcer (PAU) with intramural hematoma in 6 (13 %) patients. According to the type of vascular graft used, the cohort was divided as follows: 25 patients (54%) received a double velour woven, collagen impregnated polyester graft (Hemashield, Getinge; CI-Group) whereas in 21 patients (46 %) a gelatin impregnated woven fabric graft was used (Gelweave, Vascutek / Terumo; GI-group). As primary endpoints class 3 bleeding according to the Valve Academic Research Consortium (VARC3) criteria and freedom from re-intervention were assessed. As secondary endpoints, 30-day mortality and stroke were defined. Preoperative risk assessment (EuroSCORE II), gender-, BMI-stratification and NYHA-classification as well as mean CPB-times (114 ± 44min vs 110 ± 48min) and aortic cross-clamp times (71 ± 28min vs 66 ± 30min) were similar in both groups. Bleeding, measured by drainage volume output within the first postoperative 24h (480 ± 426mL vs 389 ± 169mL), erythrocytes concentrate consumption (2,4 vs 2,3) and similar re-thoracotomy rates (4 vs 4.7 %) showed no difference between groups. 30- day mortality (12 vs 5 %; p = 0.614) and stroke rates (4 vs 9.5; p = 0,4) showed no differences between groups. Regarding postoperative bleeding no difference were seen between the two graft types. Long-term follow-up and larger prospective randomized studies are requested to prove these findings.

Perioperative management and fast track in knee arthroplasty

Knee arthroplasty is an established surgical treatment for advanced osteoarthritis of the knee. In view of the rising number of surgical procedures, increasing costs in the healthcare system with aparallel increase in patient age and comorbidities, an evidence-based perioperative management is gaining importance. Fast Recovery concepts comprise arange of evidence-based strategies for optimizing the perioperative course. By reducing perioperative risks and optimizing pre-, peri- and postoperative processes, complications can be reduced, as well as perioperative morbidity, while comprising faster convalescence. This review is based on asystematic literature search in the PubMed, Cochrane Library and Web of Science databases on the topic of perioperative optimization and evidence for Fast Recovery programs in knee resurfacing. In knee arthroplasty, Fast Recovery protocols lead to asignificant reduction in the length of stay in hospital without an increase in complication rates. Patients also benefit from afaster return to mobility and areduced level of postoperative pain. The involvement of multidisciplinary teams, the optimization of pain therapy, the minimization of blood loss and early mobilization are key elements of these protocols. The implementation of Fast Recovery protocols in the perioperative care of patients is an effective strategy to improve surgical outcomes. Essential for the success of such programs is individualized multidisciplinary patient care with preoperative risk assessment, optimized pain management and early physiotherapeutic mobilization. Future research should focus on the long-term effects of these approaches and their adaptation to different patient populations.

Pediatric obesity and adverse outcomes following deformity correction surgery for adolescent idiopathic scoliosis: A cross-sectional analysis using 2015-2019 NIS data.

Obesity in the pediatric population has been a growing medical concern over the last few decades with a prevalence of 19.7% as of 2017-2020. Obesity is a risk factor for greater scoliotic curves and failure of conservative therapy for adolescent idiopathic scoliosis (AIS). Establishing a correlation between obesity and a wide variety of adverse outcomes following scoliosis surgery can assist in the preoperative consultation with the family and proper optimization of the patient for scoliosis fusion surgery. The National Inpatient Sample (NIS) was used to access inpatient data from 2015 to 2019. Pediatric patients with idiopathic scoliosis admitted for spinal deformity correction via posterior spinal fusion of over 8 levels were identified. Patients were stratified based on the comorbid diagnosis of obesity. Variables that were significantly associated with outcomes (p < 0.05) were used in a multivariable logistic regression to control for confounders. Backwards stepwise p-value removal was used to build the final model and model fit was assessed using the area under the curve. A total of 855 obese and 17,285 non-obese pediatric patients undergoing posterior instrumented fusion for scoliotic deformity correction were identified. The obese group was associated with a higher rate of SSI (0.6% vs 0.1%, p < 0.001), UTI (1.2% vs. 0.3%, p < 0.001), and AKI (0.6% vs 0.1%, p = 0.12) compared to the normal BMI group. Obese patients were also more likely to have a non-routine discharge when compared to non-obese (4.7% vs. 2.3%, p < 0.001). The rate of having more than one complication occurring postoperatively was higher in the obese group, however, this finding was not significant (0.6%, vs 0.4%, p = 0.385). On multivariate regression analysis, obesity was positively associated with SSI (OR = 2.758, CI = 0.999-7.614, p = 0.050), UTI (OR = 2.221, CI = 1.082-4.560, p = 0.030), non-routine discharge (OR = 1.515, CI = 1.070-2.147, p = 0.019), and an extended LOS (OR = 1.869, CI = 1.607-2.174, p < 0.001). Obesity was associated with postoperative blood transfusion, SSI, UTI, increased length of stay, and non-routine discharge after pediatric AIS deformity surgery. In addition to the increased morbidity seen in obese patients, we also identified the significantly increased cost of care for this group when compared to non-obese patients. These data should be used for a robust preoperative risk assessment and evidence for BMI optimization prior to deformity correction for AIS.

Association of computed tomography-derived body composition and complications after colorectal cancer surgery: A systematic review and meta-analysis.

The prediction of the risk of developing complications after colorectal surgery for colorectal carcinoma remains imprecise. Body composition measurements on a computed tomography (CT) scan can potentially contribute to a better preoperative risk assessment. The aim of this systematic review is to evaluate the evidence for the use of body composition measurements on CT scans to predict short-term complications after colorectal cancer surgery. A literature search (in PubMed, Embase and Web of Science) was performed up to 1 August 2022. Two researchers independently screened the articles, extracted data and assessed the quality of the studies using the Quality in Prognosis Studies tool. The primary outcome measure was the occurrence of complications within 30days after surgery. Meta-analysis was conducted using a random-effects model to synthesize a pooled odds ratio (OR). The study protocol was registered in PROSPERO (CRD42021281010). Forty-five articles with a total of 16537 patients were included. In total, 26 body composition measures were investigated: 8 muscle-related measures, 11 adipose tissue measures, 4 combined muscle and adipose tissue measures, and 3 other measures. These were investigated as potential predictors for more than 50 differently defined postoperative complications. Meta-analysis was only possible for two measurements and showed that higher amounts of visceral fat increase the risk of developing overall complications (OR: 2.52 [1.58-4.00], P<0.0001) and anastomotic leakage (OR: 1.76 [1.17-2.65], P=0.006). A wide variety of body composition measurements on preoperative CT scans have been investigated as a predictive factor for postoperative complications. Visceral fat appeared to be associated with overall complications and anastomotic leakage; however, the association is weak, and its clinical relevance or applicability is questionable. The current evidence is limited by methodological heterogeneity and the risk of bias. To improve comparability of results across studies and improve decision-making, future studies should use standardized methods for measuring body composition on CT scans, outcome definitions and statistical analyses.

Multicenter evaluation of CT deep radiomics model in predicting Leibovich score risk groups for non-metastatic clear cell renal cell carcinoma

BackgroundNon-metastatic clear cell renal cell carcinoma (nccRCC) poses a significant risk of postoperative recurrence and metastasis, underscoring the importance of accurate preoperative risk assessment. While the Leibovich score is effective, it relies on postoperative histopathological data. This study aims to evaluate the efficacy of CT radiomics and deep learning models in predicting Leibovich score risk groups in nccRCC, and to explore the interrelationship between CT and pathological features. Patients and MethodsThis research analyzed 600 nccRCC patients from four datasets, dividing them into low (Leibovich scores of 0–2) and intermediate to high risk (Leibovichscores exceeding 3) groups. Radiological models were developed from CT subjective features, and radiomics and deep learning models were constructed from CT images. Additionally, a deep radiomics model and a fusion model integrating radiological, radiomics, and deep learning features were introduced. Model performance was assessed by AUC values, while survival differences across predicted groups were analyzed using survival curves and the DeLong test. Moreover, the research investigated the connection between CT and pathological features derived from whole-slide pathological images in the second validation dataset. ResultsWithin the training dataset, four radiological, three radiomics, and thirteen deep learning features were selected to develop models predicting nccRCC Leibovich score risk groups. The deep radiomics model demonstrated superior predictive accuracy, evidenced by AUC values of 0.881, 0.829, and 0.819 in external validation datasets. Notably, significant differences in overall survival were observed among patients classified by this model (DeLong test p < 0.05 across all datasets). Furthermore, a correlation and complementarity were observed between deep radiomics features and pathological deep learning features. ConclusionsThe CT deep radiomics model precisely predicts nccRCC Leibovich score risk groups preoperatively and highlights the synergistic effect between CT and pathological data.

Prognosis of Patients with Hepatocellular Carcinoma Treated with TACE: A New Score Combining Alpha-Fetoprotein and Des-γ-Carboxy Prothrombin.

Hepatocellular carcinoma (HCC) represents a significant global health problem, requiring precise prognostic tools for optimal treatment stratification. This study aimed to develop a new risk prediction score, called AD score, based on the serum markers alpha-fetoprotein (AFP) and des-γ-carboxy prothrombin (DCP), to offer an objective and accurate preoperative assessment of HCC in patients undergoing transarterial chemoembolization (TACE). This was a retrospective study that included 295HCC patients who were subjected to TACE (training set, n=147; testing set, n=148). Serum AFP and DCP levels were log-transformed to construct the AD score. Multivariate Cox regression analysis on cirrhosis subgroups validated the objectivity of the model. Performance comparison of established models (Child Pugh, BCLC, ALBI, Up-to-seven, Six-and-twelve, Four and seven, HAP score, mHAP-II, FAIL-T score), was assessed through time-dependent receiver operating characteristic (ROC) curves and risk stratification. The AD score, incorporating lgAFP and lgDCP, demonstrated superior predictive accuracy than the existing models. Time-dependent ROC curve revealed the consistent superiority of the AD score over a 5-year period. The risk stratification into low, intermediate, and high group based on the AD score showed a significant survival difference in both training and testing set. For HCC patients undergoing TACE, the AD score serves as an objective and straightforward prognostic tool, enhancing predictive accuracy and showcasing its clinical utility. It demonstrates potential significance as a crucial addition to preoperative risk assessment for TACE.

Computed tomography-based radiomics and body composition analysis for predicting clinically relevant postoperative pancreatic fistula after pancreaticoduodenectomy.

Preoperative risk assessment of clinically relevant postoperative pancreatic fistula (CR-POPF) is still lacking. This study aimed to develop and validate a combined model based on radiomics, pancreatic duct diameter, and body composition analysis for the prediction of CR-POPF in patients undergoing pancreaticoduodenectomy (PD). Multivariable logistic regression was used to construct a combined model in conjunction with radiomics score (Rad-score), pancreatic duct diameter, and visceral fat area/total abdominal muscle area index (VFA/TAMAI). The models were internally validated using 1,000 bootstrap resamples. The predictive performance of these models was assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). The preoperative combined model was validated by 1,000 bootstrap resampling with the area under the ROC curve (AUC) of 0.839 (95% confidence interval: 0.757-0.907). The calibration curves and DCA showed that the combined model outperformed the clinical model and radiomics model. The combined model was presented as a web-based calculator (https://whyyjyljz.shinyapps.io/DynNomapp/). We explored a method of combining radiomics features, pancreatic duct diameter, and body composition analysis predictors in preoperative assessment for risk of CR-POPF and developed a combined model that showed relatively good performance, but future studies with a larger sample size are needed to verify the stability and generalizability of this model.

Three-Dimensional Evaluation of Impacted Mandibular Third Molar Angulation and its Impact on Lingual Cortical Bone Thickness: A Retrospective Cone-Beam Computed Tomography Study

Background: The removal of impacted lower third molars surgically can cause complications, and the lingual cortical bone thickness in this region becomes a determining factor in the risk of perforation and injury to the lingual nerve (LN). This study was conducted to assess the relationship between different angulations of impacted lower third molars based on Winter’s classification and the thickness of the lingual cortical bone. Variations in lingual cortical bone thickness among the genders were evaluated as well. Methods: Cone-beam computed tomography (CBCT) scans of 50 impacted lower third molar teeth of 50 patients (26 men and 24 women) were evaluated in this study. The lingual bone thickness surrounding impacted lower mandibular teeth was measured at three key points, namely, the cemento-enamel junction of the second mandibular molar, the mid-root of the impacted third molar, and the root apex of the impacted third molar. Mesiodistal angulation and buccolingual angulations of the impacted mandibular third molars underwent investigation. Statistical analysis was conducted using SPSS 23. Data were analyzed using the independent sample t test, one-way ANOVA, multiple linear regression analysis, and Fisher’s exact test. Results: There was a statistically significant relationship between the means of lingual cortical bone thickness surrounding the third molars based on Winter’s classification of third molars impacted at mesiodistal angulation (P=0.00). Regarding gender, buccolingual angulation demonstrated a statistically significant relationship among the means of lingual bone thickness around the third molars (P=0.022). Conclusion: In our study, the thickness of the lingual cortical bone was notably affected in the middle and apical areas of the impacted third molar region. The variable position of the LN near the mandible third molar region was significant in dental procedures due to its proximity. Three-dimensional (3D) imaging CBCT provides preoperative risk assessment that reduces preventable complications that cannot be answered by 2D imaging.