Preoperative Chest Research Articles

Value-based preoperative assessment in a large academic hospital

BackgroundValue-based healthcare (VBHC) is an approach that focuses on delivering the highest possible value for patients while driving cost efficiency in health services. It emphasizes improving patient outcomes and experiences while optimizing the use of resources, shifting the healthcare system’s focus from the volume of services to the value delivered. Our study assessed the effectiveness of implementing a VBHC-principled, tailored preoperative evaluation in enhancing patient care and outcomes, as well as reducing healthcare costs.MethodsWe employed a quality improvement, before-and-after approach to assessing the effects of implementing VBHC strategies on the restructuring of the preoperative evaluation clinics at Humanitas Research Hospital. The intervention introduced a VBHC-tailored risk matrix during the postintervention phase (year 2021), and the results were compared with those of the preintervention phase (2019). The primary study outcome was the difference in the number of preoperative tests and visits at baseline and after the VBHC approach. Secondary outcomes were patient outcomes and costs.ResultsA total of 9722 patients were included: 5242 during 2019 (baseline) and 4,480 during 2021 (VBHC approach). The median age of the population was 63 (IQR 51–72), 23% of patients were classified as ASA 3 and 4, and 26.8% (2,955 cases) were day surgery cases. We found a considerable decrease in the number of preoperative tests ordered for each patient [6.2 (2.5) vs 5.3 (2.6) tests, p < 0.001]. The number of preoperative chest X-ray, electrocardiogram, and cardiac exams decreased significantly with VBHC. The length of the preoperative evaluation was significantly shorter with VBHC [373 (136) vs 290 (157) min, p < 0.001]. Cost analysis demonstrated a significant reduction in costs, while there was no difference in clinical outcomes.ConclusionsWe demonstrated the feasibility, safety, and cost-effectiveness of a tailored approach for preoperative evaluation. The implementation of VBHC enhanced value, as evidenced by decreased patient time in preoperative evaluation and by a reduction in unnecessary preoperative tests.

Survey on Findings and Utilization of Preoperative Chest Radiography in Ophthalmic Surgery.

Objective: The objective of this paper is to reconsider the significance of preoperative chest radiography (CXR) before ophthalmic surgery through investigation of imaging findings and usage status. Methods: This retrospective observational clinical study involved 1616 patients who underwent ophthalmic surgery at Saga University Hospital from 1 January 2019 to 31 December 2020. The patients' radiology reports were obtained from the electronic medical records, and their CXR findings, therapeutic interventions, and progress were investigated. Results: Among all patients, 539 (33.4%) had abnormal preoperative CXR findings. Of these patients, 74 (4.6%) had newly identified abnormal findings. In both patient groups, approximately 70% of patients with abnormal findings were aged ≥70 years, and interstitial shadows were the most common finding. Among all patients with abnormal findings, three (0.19%) received preoperative therapeutic interventions, and all surgeries were performed safely. Forty-three patients with abnormal findings were referred to our hospital or other hospitals for further investigation and treatment postoperatively. Among those patients, eight (0.5%) had primary lung cancer, seven underwent surgery, and one received chemoradiation. The other patients were also followed up and received appropriate therapeutic interventions. Conclusions: Before ophthalmic surgery, few patients required actual therapeutic interventions based on their CXR results. However, many abnormal findings were revealed in elderly patients, including some serious diseases. Furthermore, research has suggested that appropriate therapeutic intervention after ophthalmologic surgery may reduce the risk of a poor life prognosis. This study clearly shows that preoperative CXR is not only useful for perioperative systemic management but also ultimately benefits patients. It is also considered particularly meaningful for patients aged ≥70 years.

Clinical, Imaging, and Pathological-Molecular Characteristics Associated with Stage IA Invasive Lung Adenocarcinoma Recurrence After Sub-lobar Resection

Rationale and ObjectivesThis study aimed to investigate the association of clinical, imaging, and pathological-molecular characteristics with the prediction of patient prognosis with stage IA invasive lung adenocarcinoma (ILADC) after sub-lobar resection. Materials and MethodsThis study assessed 360 patients, including 91 and 269 with and without recurrence 3 years postoperativel, respectively, with stage IA ILADC undergoing preoperative chest computed tomography (CT) scans and subsequent sub-lobar resection at our institution. Their clinical and CT features and histological subtypes and gene mutation status were compared. Binary logistic regression analysis was conducted to identify the independent risk factors for recurrence. An external validation cohort included 113 patients, used to test the model’s efficiency. ResultsFor clinical features, old age, male gender, smokers, and high age-adjusted Charlson comorbidity index (ACCI) were frequently observed in patients with recurrence than those without (all p < 0.05). For CT features, large tumor size, solid-predominant density, spiculation, peripheral fibrosis, type II pleural tag, and pleural adhesion were more common in recurrent patients than non-recurrent ones (all p < 0.05). The regression model revealed old age, large tumor size, solid-predominant density, spiculation, type II pleural tag, and pleural adhesion as independent risk factors for recurrence, with an area under the curve (AUC) of 0.942. The external validation cohort obtained an AUC of 0.958. For phological-molecular features, miropapillary/solid-predominant growth pattern, KRAS, ALK, and NRAS mutation or fusion were more ccommon in the recurrent group, whereas EGFR mutation was more frequent in the non-recurrent group (all p < 0.05). ConclusionClinical and CT features help predict the prognosis of patients with stage IA ILADC after sub-lobar resection and decide for individualized treatment. Moreover, patients with different prognosis demonstrated different pathological-molecular features.

Evaluation of Preoperative Breathing Techniques on Functional Mobility in On-Pump Versus Off-Pump Coronary Artery Bypass Graft Patients: A Comprehensive Review

This review investigates and contrasts the effects of various preoperative chest rehabilitation techniques in patients undergoing coronary artery bypass graft (CABG) surgery, both on-pump and off-pump. Utilizing databases such as Pedro, Cochrane, and PubMed, a comprehensive literature review was conducted, focusing on studies published between 2017 and 2023. We identified 14 relevant articles that met specific inclusion and exclusion criteria, examining the effects of preoperative physiotherapy in adult patients undergoing CABG surgery. Preoperative physiotherapy encompasses a variety of approaches, including counseling, cardiovascular exercise, instruction on breathing techniques, and inspiratory muscle training (IMT). Numerous studies have highlighted the benefits of integrating these methods, such as reducing the risk of postoperative pulmonary complications, shortening hospital stays, achieving earlier extubation, and decreasing anxiety. Despite these findings, further research is needed to evaluate the effectiveness of combination therapies, particularly those involving IMT, in preoperative physical therapy. The goal is to develop a comprehensive understanding of the mechanisms through which these treatments reduce pulmonary complications post-surgery.

Correlation of CT features of lung adenocarcinoma with sex and age

This study aimed to retrospectively examine the computed tomography (CT) features of lung adenocarcinoma across different demographic groups. Preoperative chest CT findings from 1266 surgically resected lung adenocarcinoma cases were retrospectively analyzed. Lung adenocarcinomas were categorized based on CT characteristics into pure ground glass (pGGO), nodule-containing ground glass opacity (mGGO), and pure solid without containing ground glass opacity (pSD). These categories were correlated with sex, age, EGFR status, and five histopathological subtypes. The diameters of pGGO, mGGO, and pSD significantly increased across all patient groups (P < 0.05). Males exhibited a significantly higher proportion of pSD than females (P = 0.002). The mean diameters of pGGO and pSD were significantly larger in males than in females (P = 0.0017 and P = 0.043, respectively). The frequency of pGGO was higher in the younger age group (≤ 60 years) compared to the older group (> 60 years) for both males (P = 0.002) and females (P = 0.027). The frequency of pSD was higher in the older age group for both sexes. A linear correlation between age and diameter was observed in the entire cohort as well as in the male and female groups (P < 0.0001 for all groups). EGFR mutations were less frequent in pSD compared to pGGO (P = 0.0002) and mGGO (P < 0.0001). The frequency of lesions containing micropapillary components increased from pGGO to mGGO and pSD (P < 0.0001 for all). The frequency of lesions containing solid components also increased from pGGO to mGGO and pSD (P = 0.045, P < 0.0001, and P < 0.0001, respectively). The CT features of lung adenocarcinoma exhibit differences across genders and age groups. Male gender and older age are risk factors for lung adenocarcinoma growth.

Adaptively learning visual model of surgical resection images via coarse-to-fine–grained strategy for pathological invasiveness prediction in indeterminate stage IA lung adenocarcinoma.

1563 Background: Indeterminate nodules with high risk of malignancy are suggested to receive video-assisted thoracoscopy biopsy. Frozen section assists surgeons to decide surgical strategies for stage IA lung adenocarcinoma (LUAD) intraoperatively, which is time-consuming and may misdiagnosis due to limited sampling and poor tissue quality. Methods: We prospectively enrolled stage IA LUAD patients underwent complete resection between June 2020 and September 2023 in Guangdong Provincial People's Hospital (GDPH), Affiliated Hospital of Guangdong Medical University, Meizhou People's Hospital. All the resected lung nodules were finally diagnosed as pre-invasive lesion (PIL), minimally invasive adenocarcinoma (MIA) or invasive lung adenocarcinoma (IAC) by FFPE pathological diagnosis. Images of the whole section of the lung nodules were taken by smartphones under natural lighting condition in operating theaters without shadowless surgical lights. Patients received preoperative anti-cancer therapy and with low-quality tumor section images were excluded. Images of nodules section, FS reports, FFPE diagnosis and clinical information were prospectively collected. Predictive artificial intelligence (AI) model was developed by a three-step process, which first predict the IAC and non-IAC region at coarse level, and identify fine level features through the high-risk region. The coarse and fine labels were then coordinated through risk ranking loss to reach a final predictive result. Results: We prospectively enrolled 1516 patients with 1638 indetermined lung nodules from preoperative chest CT following the inclusion and exclusion criteria, with 2438 images acquired from intraoperative nodule sections. The included patients have median age of 57 years old and 38.6% male patients. The pathological diagnosis for included lung nodules are 122 PIL nodules, 502 MIA nodules and 1014 stage IA LUAD. A multi-task artificial intelligence based on Coarse-to-Fine-Grained Strategy has been established to classify the indetermined lung nodules during the surgery. For binary classification, AI model reach an AUC of 0.86 in differentiation between IAC or non-IAC. For 3-classification level, AI model reach an AUC of 0.87 in differentiation between PIL, MIA or IAC. We further defined the IAC nodules into G1, G2 and G3 according to IASLC lung adenocarcinoma grading system. For 5-classification level, AI model reach an AUC of 0.86 in differentiation between PIL, MIA, IAC-G1, IAC-G2 and IAC-G3. Conclusions: Our AI models based on images of intraoperative surgical resection could effectively classify indetermined lung nodules, which can assist thoracic surgeons diagnose the nodules rapidly during the surging and decide the following surgical strategies. Clinical trial information: ChiCTR2300075999 .

Minor (≤ 10%) Ground-Glass Opacity Component in Clinical Stage I Non-Small Cell Lung Cancer: Associations With Pathologic Characteristics and Clinical Outcomes.

BACKGROUND. The presence of a ground-glass opacity (GGO) component is a favorable prognostic factor in non-small cell lung cancer (NSCLC), although the prognostic impact of a very small GGO component remains poorly investigated. OBJECTIVE. The purpose of this article is to investigate the impact of a minor (≤ 10%) GGO component on the prognosis of clinical stage I NSCLC in comparison with pure-solid nodules. METHODS. This retrospective study included 382 patients (mean age, 60.8 years; 210 men, 172 women) who underwent surgical resection between January 1, 2015, and December 31, 2015, for clinical stage I NSCLC appearing on preoperative chest CT as a nodule with a consolidation-to-tumor ratio (CTR) of 0.9 to 1.0. Two radiologists independently assigned nodules to groups as either minor GGO (CTR, ≥ 0.9 and < 1.0) or pure solid (CTR = 1.0). Recurrence-free survival (RFS) and cancer-specific survival (CSS) were assessed by Kaplan-Meier curves and compared between groups using log-rank tests. Cox proportional hazards models were used to assess associations with outcomes. RESULTS. The two radiologists agreed for all nodules' classification into the minor-GGO (n = 106) or pure-solid (n = 276) groups. The mean CTR of the minor-GGO group was 0.93 ± 0.02 (SD) (range, 0.90-0.97). Minor-GGO nodules, in comparison with pure-solid nodules, showed greater solid-component diameter (2.68 vs 2.16 cm; p < .001) and total nodule diameter (2.89 vs 2.16 cm; p < .001). The minor-GGO group, in comparison with the pure-solid group, showed lower frequencies of visceral pleural invasion (6.6% vs 17.0%, p = .009) and pathologic lymph node involvement (4.7% vs 20.3%, p < .001), and EGFR mutation (71.6% vs 39.9%; p < .001). The minor-GGO group, in comparison with the pure-solid group, showed better 5-year RFS (83.4% vs 55.0%; p < .001) and higher frequency of better 5-year CSS (92.4% vs 76.4%, p = .004). In multivariable analysis adjusting for patient, imaging, pathologic, and genetic factors, a minor-GGO component was independently associated with a decreased likelihood of recurrence (HR = 0.37, p = .001) but not with the likelihood of CSS. CONCLUSION. Among patients with clinical stage I NSCLC, cancers with a minor-GGO component were associated with a better prognosis versus those with a pure-solid appearance. CLINICAL IMPACT. Radiologists encountering predominantly solid nodules on CT should carefully assess images for even a minor-GGO component given the favorable prognosis.

A 3D printed esophageal atresia–tracheoesophageal fistula thorascopy simulator for young surgeons

We developed a 3D-printed thoracoscopic surgery simulator for esophageal atresia with tracheoesophageal fistula (EA-TEF) and assessed its effectiveness in educating young pediatric surgeons. Prototype production and modifications were repeated five times before producing the 3-D printed final product based on a patient’s preoperative chest computed tomography. A 24-item survey was used to rate the simulator, adapted from a previous report, with 16 young surgeons with an average of 6.2 years of experience in pediatric surgery for validation. Reusable parts of the thoracic cage were printed to combine with replaceable parts. Each structure was fabricated using diverse printing materials, and subsequently affixed to a frame. In evaluating the simulator, the scores for each factor were 4.33, 4.33, 4.27, 4.31, 4.63, and 4.75 out of 5, respectively, with the highest ratings in value and relevance. The global rating was 3.38 out of 4, with ten stating that it could be used with slight improvements. The most common comment from participants was that the esophageal anastomosis was close to the actual EA-TEF surgery. The 3D-printed thoracoscopic EA-TEF surgery simulator was developed and reflected the actual surgical environment. It could become an effective method of training young pediatric surgeons.

Preoperative CT-based radiomic prognostic index to predict the benefit of postoperative radiotherapy in patients with non-small cell lung cancer: a multicenter study

BackgroundThe value of postoperative radiotherapy (PORT) for patients with non-small cell lung cancer (NSCLC) remains controversial. A subset of patients may benefit from PORT. We aimed to identify patients with NSCLC who could benefit from PORT.MethodsPatients from cohorts 1 and 2 with pathological Tany N2 M0 NSCLC were included, as well as patients with non-metastatic NSCLC from cohorts 3 to 6. The radiomic prognostic index (RPI) was developed using radiomic texture features extracted from the primary lung nodule in preoperative chest CT scans in cohort 1 and validated in other cohorts. We employed a least absolute shrinkage and selection operator-Cox regularisation model for data dimension reduction, feature selection, and the construction of the RPI. We created a lymph-radiomic prognostic index (LRPI) by combining RPI and positive lymph node number (PLN). We compared the outcomes of patients who received PORT against those who did not in the subgroups determined by the LRPI.ResultsIn total, 228, 1003, 144, 422, 19, and 21 patients were eligible in cohorts 1–6. RPI predicted overall survival (OS) in all six cohorts: cohort 1 (HR = 2.31, 95% CI: 1.18–4.52), cohort 2 (HR = 1.64, 95% CI: 1.26–2.14), cohort 3 (HR = 2.53, 95% CI: 1.45–4.3), cohort 4 (HR = 1.24, 95% CI: 1.01–1.52), cohort 5 (HR = 2.56, 95% CI: 0.73–9.02), cohort 6 (HR = 2.30, 95% CI: 0.53–10.03). LRPI predicted OS (C-index: 0.68, 95% CI: 0.60–0.75) better than the pT stage (C-index: 0.57, 95% CI: 0.50–0.63), pT + PLN (C-index: 0.58, 95% CI: 0.46–0.70), and RPI (C-index: 0.65, 95% CI: 0.54–0.75). The LRPI was used to categorize individuals into three risk groups; patients in the moderate-risk group benefited from PORT (HR = 0.60, 95% CI: 0.40–0.91; p = 0.02), while patients in the low-risk and high-risk groups did not.ConclusionsWe developed preoperative CT-based radiomic and lymph-radiomic prognostic indexes capable of predicting OS and the benefits of PORT for patients with NSCLC.

Robotic Beating-Heart Totally Endoscopic Coronary Artery Bypass: Impact of Chest Wall Dimensions in Single and Multivessel Bypass.

There can be anatomical constraints on patient selection for minimally invasive surgery. For example, robot-assisted coronary artery bypass was reported to be more challenging when patients had a cardiothoracic ratio >50% and a sternum-vertebra anteroposterior and transverse diameter ratio <0.45. We sought to examine the impact of chest wall anatomic parameters on surgical outcomes in our totally endoscopic coronary artery bypass (TECAB) procedures. We retrospectively reviewed patients who underwent robotic TECAB, all of whom had a preoperative chest radiograph at our institution from July 2017 to October 2021. The cohort was divided into 2 groups, which were patients undergoing single-vessel grafting using the left internal thoracic artery (ITA; group 1) and patients undergoing multivessel grafting with bilateral ITA grafts (group 2). We measured several anatomical parameters from the preoperative chest radiograph. A total of 352 patients undergoing TECAB were retrospectively analyzed. After exclusions, 193 were included in this study. In group 1 (n = 91), no parameters correlated with operative time. In group 2 (n = 102), a significant negative correlation was observed between operative time and the sternum-vertebrae anteroposterior diameter (rs = -0.228, P = 0.022) and lung anteroposterior diameter (rs = -0.246, P = 0.013). To confirm these results in group 2, a propensity-matched analysis was performed and showed a statistically significant difference in surgical time based on chest anteroposterior diameters. In single-vessel robotic TECAB, chest wall anatomic dimensions measured on chest radiograph did not affect operative time. In multivessel cases with bilateral ITA grafts, larger anteroposterior diameter correlated with shorter operative times.

The Association Between Preoperative Pectoralis Muscle Quantity and Outcomes After Cardiac Transplantation

Background: Sarcopenia is underappreciated in advanced heart failure and is not routinely assessed. In patients receiving a left ventricular assist device (LVAD), preoperative sarcopenia, defined using CT-derived pectoralis muscle area index (muscle area indexed to body surface area), is an independent predictor of post-operative mortality. The association between preoperative sarcopenia and outcomes after heart transplant (HT) is unknown. Objectives: The primary aim was to determine if preoperative sarcopenia, diagnosed using pectoralis muscle area index, is an independent predictor of days alive and out of the hospital (DAOH) post-transplant. Methods: Patients who underwent HT from January 2018 to June 2022 with available preoperative chest CT scans were included. Sarcopenia was diagnosed as pectoralis muscle area index in the lowest sex-specific tertile. The primary endpoint was DAOH at 1-year post-transplant. Results: 169 patients were included. Patients with sarcopenia (n=55) had fewer DAOH compared to those without, with a median difference of 17 days (320 vs. 337 days, p=0.004). Patients with sarcopenia had a longer index hospitalization and were also more likely to be discharged to a facility other than home. In a Poisson regression model, sarcopenia was a significant univariable and the strongest multivariable predictor of DAOH at 1-year (Parameter estimate = -0.17, 95% CI -0.19 to -14, p = <0.0001). Conclusions: Preoperative sarcopenia, diagnosed using pectoralis muscle area index, is an independent predictor of poor outcomes after HT. This parameter is easily measurable from commonly obtained preoperative CT scans and may be considered in the transplant evaluation.

Traps and Tricks About A 6-Years Old Cutibacterium Endocarditis

Endocarditis of cardiac implanted electronic devices is a complex and serious disease. Commensal bacteria of the skin are commonly considered as contamination of blood culture. Herein, the authors report the case of a pacemaker endocarditis with cultures positive for Cutibacterium acnes. These were already found 3 and 6 years ago but not observed during hospitalisation. The PET-scan was of great help in guiding the diagnosis. The management was particularly difficult with 9 leads to extract. A sequential approach in the operating room from endovascular procedure to surgery under cardio-pulmonary bypass was used. A second procedure was necessary to extract a small forgotten foreign body already visible on the preoperative chest X-ray. This experience shows the importance of having a high level of suspicion in case of culture positive for Cutibacterium with intracardiac devices, and of looking for foreign bodies on the preoperative chest X-ray in case of a history of multiple rhythmological procedures.

Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma

PurposeTo investigate the value of a computed tomography (CT)-based deep learning (DL) model to predict the presence of micropapillary or solid (M/S) growth pattern in invasive lung adenocarcinoma (ILADC).Materials and MethodsFrom June 2019 to October 2022, 617 patients with ILADC who underwent preoperative chest CT scans in our institution were randomly placed into training and internal validation sets in a 4:1 ratio, and 353 patients with ILADC from another institution were included as an external validation set. Then, a self-paced learning (SPL) 3D Net was used to establish two DL models: model 1 was used to predict the M/S growth pattern in ILADC, and model 2 was used to predict that pattern in ≤ 2-cm-diameter ILADC.ResultsFor model 1, the training cohort’s area under the curve (AUC), accuracy, recall, precision, and F1-score were 0.924, 0.845, 0.851, 0.842, and 0.843; the internal validation cohort’s were 0.807, 0.744, 0.756, 0.750, and 0.743; and the external validation cohort’s were 0.857, 0.805, 0.804, 0.806, and 0.804, respectively. For model 2, the training cohort’s AUC, accuracy, recall, precision, and F1-score were 0.946, 0.858, 0.881,0.844, and 0.851; the internal validation cohort’s were 0.869, 0.809, 0.786, 0.794, and 0.790; and the external validation cohort’s were 0.831, 0.792, 0.789, 0.790, and 0.790, respectively. The SPL 3D Net model performed better than the ResNet34, ResNet50, ResNeXt50, and DenseNet121 models.ConclusionThe CT-based DL model performed well as a noninvasive screening tool capable of reliably detecting and distinguishing the subtypes of ILADC, even in small-sized tumors.

Pleural Effusion and Chylothorax in Congenital Diaphragmatic Hernia-Risk Factors, Management and Outcome.

Background: Pleural effusion and chylothorax are common complications in the treatment of congenital diaphragmatic hernia (CDH). We set out to identify risk factors for chylothorax development in patients with CDH and to investigate the association of pleural effusion and chylothorax with neonatal morbidity and mortality. Methods: In this retrospective cohort study, we included 396 neonates with CDH treated at our institution between January 2013 and June 2019. Preoperative and postoperative chest radiographs and clinical data were evaluated and correlated with morbidity, complications and mortality. Results: Laboratory-confirmed chylothorax occurred in 58 (18.6%) of all CDH cases. Pleural effusion was frequently observed as a postoperative complication but also occurred as a pre-existing condition. Neonates with large defects of size C and D, patch repair, the need for presurgical and/or postsurgical ECMO support, pulmonary hypertension, liver-up phenomenon and lower relative fetal lung volume were associated with higher occurrences of chylothorax. After stepwise logistic regression, larger CDH defects (p < 0.0001) and the need for postsurgical ECMO (p = 0.0158) remained significant risk factors for CTX to occur (AUC 0.71). The same potential risk factors were used to assess their association with both presurgical and postsurgical pleural effusion. After stepwise logistic regression, only the need for presurgical ECMO remained significantly associated with presurgical PE (p < 0.01, AUC 0.65) and patch repair as the therapeutic intervention remained significantly associated with the occurrence of postsurgical PE (p < 0.0001, AUC 0.80). Patients with CTX had longer durations of both MV (p < 0.0001) and subsequent ventilatory assistance with spontaneous breathing (p = 0.0004), increased total lengths of hospitalization (p < 0.0001), increased durations of ECMO (p < 0.01) and increased incidences of CLD (p < 0.0001) compared to patients without CTX. No significant difference could be found for survival in both groups (p = 0.12). Conclusions: Our data suggest that the incidence of chylothorax is associated with large diaphragmatic defects, the need for postsurgical ECMO and the development of chronic lung disease, but not with survival.

Gastro-Colo-Cutaneous Fistula Occurring After Percutaneous Endoscopic Gastrostomy Procedure

An 82-year-old man diagnosed with supraglottic cancer sought a consultation for percutaneous endoscopic gastrostomy (PEG) placement. Preoperative chest radiography (posterior-anterior [PA] view) revealed no abnormalities, and PEG tube placement was performed using the “pull” method. Chest radiography (PA view) performed 3 days postoperatively showed free air that was not observed immediately after PEG tube placement; therefore, the patient was diagnosed with pneumoperitoneum. Abdominal computed tomography confirmed that the PEG tube was appropriately positioned within the stomach; however, the colon was observed between the abdominal wall and stomach, which indicated that the PEG tube had passed through the colon. Review of preoperative chest radiographs (PA views) confirmed that the colon was visualized in the area wherein usually stomach gas should have been observed. The patient was diagnosed with a gastro-colo-cutaneous fistula that occurred postoperatively, following a procedure that was performed without confirmation of anatomical variations. The PEG tube was removed surgically, and we performed percutaneous gastrostomy.

Dual-Energy CT Material Decomposition: The Value in the Detection of Lymph Node Metastasis from Breast Cancer.

To evaluate the diagnostic performance of a dual-energy computed tomography (DECT)-based material decomposition algorithm for iodine quantification and fat fraction analysis to detect lymph node metastases in breast cancer patients. 30 female patients (mean age, 63.12 ± 14.2 years) diagnosed with breast cancer who underwent pre-operative chest DECT were included. To establish a reference standard, the study correlated histologic repots after lymphadenectomy or confirming metastasis in previous/follow-up examinations. Iodine concentration and fat fraction were determined through region-of-interest measurements on venous DECT iodine maps. Receiver operating characteristic curve analysis was conducted to identify the optimal threshold for differentiating between metastatic and non-metastatic lymph nodes. A total of 168 lymph nodes were evaluated, divided into axillary (metastatic: 46, normal: 101) and intramammary (metastatic: 10, normal: 11). DECT-based fat fraction values exhibited significant differences between metastatic (9.56 ± 6.20%) and non-metastatic lymph nodes (41.52 ± 19.97%) (p < 0.0001). Absolute iodine concentrations showed no significant differences (2.25 ± 0.97 mg/mL vs. 2.08 ± 0.97 mg/mL) (p = 0.7999). The optimal fat fraction threshold for diagnosing metastatic lymph nodes was determined to be 17.75%, offering a sensitivity of 98% and a specificity of 94%. DECT fat fraction analysis emerges as a promising method for identifying metastatic lymph nodes, overcoming the morpho-volumetric limitations of conventional CT regarding lymph node assessment. This innovative approach holds potential for improving pre-operative lymph node evaluation in breast cancer patients, offering enhanced diagnostic accuracy.

CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer

Background Tumor mutational burden (TMB) is one of the most significant predictive biomarkers of immunotherapy efficacy in non-small cell lung cancer (NSCLC). Radiomics allows high-throughput extraction and analysis of advanced and quantitative medical imaging features. This study develops and validates a radiomic model for predicting TMB level and the response to immunotherapy based on CT features in NSCLC.Method Pre-operative chest CT images of 127 patients with NSCLC were retrospectively studied. The 3D-Slicer software was used to outline the region of interest and extract features from the CT images. Radiomics prediction model was constructed by LASSO and multiple logistic regression in a training dataset. The model was validated by receiver operating characteristic (ROC) curves and calibration curves using external datasets. Decision curve analysis was used to assess the value of the model for clinical application.ResultsA total of 1037 radiomic features were extracted from the CT images of NSCLC patients from TCGA. LASSO regression selected three radiomics features (Flatness, Autocorrelation and Minimum), which were associated with TMB level in NSCLC. A TMB prediction model consisting of 3 radiomic features was constructed by multiple logistic regression. The area under the curve (AUC) value in the TCGA training dataset was 0.816 (95% CI: 0.7109–0.9203) for predicting TMB level in NSCLC. The AUC value in external validation dataset I was 0.775 (95% CI: 0.5528–0.9972) for predicting TMB level in NSCLC, and the AUC value in external validation dataset II was 0.762 (95% CI: 0.5669–0.9569) for predicting the efficacy of immunotherapy in NSCLC.ConclusionThe model based on CT radiomic features helps to achieve cost effective improvement in TMB classification and precise immunotherapy treatment of NSCLC patients.

Pectoral muscle mass is not a robust prognostic factor for survival after left ventricular assist device (LVAD) implantation

BackgroundLeft ventricular assist devices (LVAD) are an established treatment for end-stage left ventricular heart failure. Parameters are needed to identify the most appropriate patients for LVADs. This study aimed to evaluate pectoral muscle mass and density as prognostic parameters.MethodsThis single-center study included all patients with LVAD implantation between January 2010 and October 2017 and a preoperative chest CT scan. Pectoral muscle mass was assessed using the Pectoralis Muscle Index (PMI, surface area indexed to height, cm2/m2) and pectoral muscle density by Hounsfield Units (HU). Overall mortality was analyzed with Kaplan–Meier survival analysis and 1-year and 3-year mortality with receiver operating characteristic (ROC) curves and Cox regression models.Results57 patients (89.5% male, mean age 57.8 years) were included. 64.9% of patients had end-stage left ventricular failure due to ischemic heart disease and 35.1% due to dilated cardiomyopathy. 49.2% of patients had preoperative INTERMACS profile of 1 or 2 and 33.3% received mechanical circulatory support prior to LVAD implantation. Total mean PMI was 4.7 cm2/m2 (± 1.6), overall HU of the major pectoral muscle was 39.0 (± 14.9) and of the minor pectoral muscle 37.1 (± 16.6). Mean follow-up was 2.8 years (± 0.2). Mortality rates were 37.5% at 1 year and 48.0% at 3 years. Neither PMI nor HU were significantly associated with overall mortality at 1-year or 3-year.ConclusionsThe results of our study do not confirm the association between higher pectoral muscle mass and better survival after LVAD implantation previously described in the literature.

Impact of the preoperative hormone therapy duration on the satisfaction of transgender men after chest masculinization surgery

Introduction Chest masculinization is currently the most commonly performed gender-affirming surgery. It is often preceded by testosterone replacement therapy, whose duration is not agreed upon before surgery. Our study evaluates the postoperative satisfaction of transgender men who have undergone chest masculinization surgery according to their preoperative hormonal treatment duration. Material and methods We conducted a single-center prospective study conducted from 2021 to 2022. All transgender men older than 18 years who had chest masculinization surgery were included. Demographic data, medical history, operative data, and duration of preoperative hormone therapy were collected. Participants completed the BREAST-Q© and BODY-Q© questionnaires pre- and postoperatively. Results Forty-six patients were included, with a median age of 21 years (18–45 years). The median preoperative testosterone duration was 596 days (186–4479 days). A significant improvement was found in BREAST-Q© (psychosocial, sexual and physical well-being; satisfaction with chest) and BODY-Q© (satisfaction with chest and nipples) parameters (p < 0.01). There was no significant correlation between preoperative hormone therapy time and chest satisfaction of BREAST-Q© (ρ = 0.069; R2 = 0.002; p = 0.647) and BODY-Q© (ρ = –0.114; R2 = 0.007; p = 0.450). Conclusion All patients in our study were exposed to exogenous testosterone for at least six months. Our study suggests that satisfaction remains unchanged with a longer duration of usage, indicating that an extended period of hormone impregnation may not be necessary before performing chest masculinization surgery in transgender men. Furthermore, the findings confirm a significantly high post-operative satisfaction rate among participants, emphasizing the positive impact of this type of surgery.

Gender-affirming mastectomy in transmasculine individuals in The Netherlands: a large cohort study on outcomes and trends

Introduction: Gender-affirming mastectomy is frequently performed in transmasculine individuals. The aim of this study is to describe surgical and demographic trends and outcomes in a large group of individuals undergoing this procedure. Materials and methods: All individuals who underwent gender-affirming mastectomy from 01-1990 to 01-2023 in our center were identified. A retrospective chart study was conducted, recording medical history, use of medication including hormones, puberty suppression, surgical history, preoperative chest characteristics, BMI at surgery, surgical technique, concurrent surgical procedures, resection weight, complications and re-operations. Procedural, demographic and surgical trends were analyzed. Results: A total of 2030 individuals were included of whom 1350 (67%) underwent double incision, 551 (27%) donut, 67 (3%) peri-areolar, 55 (3%) batwing and 7 (<1%) another mastectomy technique. A steep increase of performed mastectomies was observed in recent years. The mean age of people undergoing this procedure is increasingly lower. Surgical trend analysis showed: an increase in the use of the double incision technique, a smaller chest was deemed eligible for donut mastectomy and a less frequent use of a pedicled nipple-areolar complex. Postoperative bleeding that required a reoperation under general anesthesia occurred in 142 (7.0%) individuals (6.3% after double incision, 7.1% after donut, 14.9% after peri-areolar and 12.8% following batwing mastectomy). One or multiple surgical corrections were performed in 19.9% after double incision, 31.2% after donut, 14.9% after peri-areolar and 32.7% following batwing mastectomy. The median clinical follow-up time was 3.2 years (IQR 0.6-6.4). Discussion: The frequency of performed mastectomy procedures has increased drastically over recent years. Specific surgical and demographic trends were identified.