Objective Vulvar squamous cell carcinoma and in situ lesions can be stratified by human papillomavirus (HPV) and TP53 status into prognostic risk groups using p16 and p53 immunohistochemistry. We assessed the significance of vulvar squamous cell carcinoma resection margin positivity for either differentiated vulvar intra-epithelial neoplasia (dVIN) or abnormal p53 immunohistochemistry, and other pathologic variables, in a cohort of patients with HPV-independent (HPV-I) p53 abnormal (p53abn) vulvar squamous cell carcinomas. Methods Patients with stage I–II HPV-I p53abn vulvar squamous cell carcinoma with negative invasive margins who did not receive adjuvant radiation from a single institution were included. Tumors underwent margin reassessment using p53 immunohistochemistry. Cases were segregated into (1) morphologic dVIN at margin; or (2) abnormal p53 immunohistochemistry staining at margin without morphologic dVIN (p53abn immunohistochemistry); or (3) margins negative by morphology and p53 immunohistochemistry. Clinicopathologic/outcome data were collected. Results A total of 51 patients were evaluated: (1) 12 with dVIN on margin; (2) 12 with p53abn immunohistochemistry on margin without morphologic dVIN; and (3) 27 with margins negative for morphologic dVIN and p53abn immunohistochemistry. The recurrence rate for patients with dVIN or p53abn immunohistochemistry on the margin was equally high at 75% each, compared with 33% with margins negative for morphologic dVIN and p53abn immunohistochemistry (p=0.009). On multivariate analysis, positive in situ margins maintained an association with disease recurrence (p=0.03) whereas invasive margin distance (radial and deep), lymphovascular invasion, and tumor size did not. Conclusions Patients with stage I–II HPV-I vulvar squamous cell carcinoma with margins positive for either dVIN or p53abn immunohistochemistry without morphologic dVIN showed increased disease recurrence, regardless of invasive margin distance. These findings show that p53 immunohistochemistry is a useful adjunct for evaluating margin status in HPV-I vulvar squamous cell carcinoma and may support repeat excision for positive in situ margins (dVIN or p53abn immunohistochemistry).

Background: The optimal management for spontaneous pneumothorax (SP) remains contentious, with various proposed approaches. This joint clinical practice guideline from the ERS, EACTS and ESTS societies provides evidence-based recommendations for the management of SP. Methods: This multidisciplinary Task Force addressed 12 key clinical questions on the management of pneumothorax, using ERS methodology for guideline development. Systematic searches were performed in MEDLINE and Embase. Evidence was synthesised by conducting meta-analyses, if possible, or narratively. Certainty of evidence was rated with GRADE (Grading of Recommendations, Assessment, Development and Evaluations). The Evidence to Decision framework was used to decide on the direction and strength of the recommendations. Results: The panel makes a conditional recommendation for conservative care of minimally symptomatic patients with primary spontaneous pneumothorax (PSP) who are clinically stable. We make a strong recommendation for needle aspiration over chest tube drain for initial PSP treatment. We make a conditional recommendation for ambulatory management for initial PSP treatment. We make a conditional recommendation for early surgical intervention for the initial treatment of PSP in patients who prioritise recurrence prevention. The panel makes a conditional recommendation for autologous blood patch in secondary SP patients with persistent air leak (PAL). The panel could not make recommendations for other interventions, including bronchial valves, suction, pleurodesis in addition to surgical resection or type of surgical pleurodesis. Conclusions: With this international guideline, the ERS, EACTS and ESTS societies provide clinical practice recommendations for SP management. We highlight evidence gaps for the management of PAL and recurrence prevention, with research recommendations made.

Lymph node involvement in adenocarcinoma of the esophagogastric junction (EGJ) is similar to that of gastric cancer. The impact on survival of the nu

Thoracic outlet syndrome (TOS) includes a group of disorders caused by extrinsic compression of neurovascular structures between the 1st rib and clavicle. It usually presents as an enlarging neck mass, with shoulder or upper limb pain, weakness, paresthesias and impalpable radial pulse (Raynaud's phenomenon). We report a rare case of TOS caused by an infraclavicular subpectoral lipoma that, although challenging because of limited access and proximity of vital neurovascular structures, was successfully removed through a simple transaxillary incision with an excellent esthetic result. The patients is symptom-free 6 months after surgery. Multiplicity of symptoms makes causes, diagnosis, and treatment of TOS controversial. Accurate diagnosis of TOS can be a substantial challenge in practice, because of a lack of physician awareness, overlapping of clinical features, and an absence of clearly defined diagnostic criteria. TOS may be associated with the presence of a benign subpectoral mass like lipomas, that seldom have an irregular distribution that involve neurovascular structures. Although benign soft tissue tumors infraclavicular subpectoral lipomas may exert pressure on neurovascular surrounding structures during their progressive expansion and cause TOS. Therefore, a thorough preoperative study by radiological imaging such as MRI or neurophysiological test should always be performed in order to prevent unintentional lesions of the involved axillo-subclavicular plexus and plan correct surgical procedure.

Different prognostic scores have been applied to identify patients with non-small cell lung cancer who have a higher probability of poor outcomes. In this study, we evaluated whether the Naples Prognostic Score, a novel index that considers both inflammatory and nutritional values, was associated with long-term survival. This study presents a retrospective propensity score matching analysis of patients who underwent curative surgery for non-small cell lung cancer from January 2016 to December 2021. The score considered the following four pre-operative parameters: the neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, serum albumin, and total cholesterol. The Kaplan–Meier method and Cox regression analysis were performed to evaluate the relationship between the score and disease-free survival, overall survival, and cancer-related survival. A total of 260 patients were selected for the study, though this was reduced to 154 after propensity score matching. Post-propensity Kaplan–Meier analysis showed a significant correlation between the Naples Prognostic Score, overall survival (p = 0.018), and cancer-related survival (p = 0.007). Multivariate Cox regression analysis further validated the score as an independent prognostic indicator for both types of survival (p = 0.007 and p = 0.010, respectively). The Naples Prognostic Score proved to be an easily achievable prognostic factor of long-term survival in patients with non-small cell lung cancer after surgical treatment.

Solitary pulmonary nodules (SPNs) are a diagnostic and therapeutic challenge for thoracic surgeons. Although such lesions are usually benign, the risk of malignancy remains significant, particularly in elderly patients, who represent a large segment of the affected population. Surgical treatment in this subset, which usually presents several comorbidities, requires careful evaluation, especially when pre-operative biopsy is not feasible and comorbidities may jeopardize the outcome. Radiomics and artificial intelligence (AI) are progressively being applied in predicting malignancy in suspicious nodules and assisting the decision-making process. In this study, we analyzed features of the radiomic images of 71 patients with SPN aged more than 75 years (median 79, IQR 76–81) who had undergone upfront pulmonary resection based on CT and PET-CT findings. Three different machine learning algorithms were applied—functional tree, Rep Tree and J48. Histology was malignant in 64.8% of nodules and the best predictive value was achieved by the J48 model (AUC 0.9). The use of AI analysis of radiomic features may be applied to the decision-making process in elderly frail patients with suspicious SPNs to minimize the false positive rate and reduce the incidence of unnecessary surgery.