Although resecting colorectal cancer (CRC) pulmonary metastasis is associated with long-term survival, identification of prognostic groups is needed for future randomized trials, and construction of a lung metastasectomy prognostic model (LMPM) is warranted. We searched the PubMed database for retrospective studies evaluating prognostic factors following resecting CRC lung metastasis. Individual patient data were analyzed. Independent prognostic factors were used to construct an LMPM. Between 1983 and 2008, 1112 metastasectomies were carried out on 927 patients included in eight studies. Five-year survival rate was 54.3% following the first lung resection. Multivariate analysis identified three independently poor prognostic factors: pre-thoracotomy carcinoembryonic antigen ≥5 ng/ml, disease-free interval <36 months, and more than one metastatic lesion. Patients with good-, intermediate-, and high-risk groups according to the LMPM had a 5-year survival of 68.2%, 46.4%, and 26.1%, respectively (P < 0.001). Perioperative chemotherapy and previously resected liver metastasis had no influence on survival. The low- and intermediate-risk groups have a good chance of long-term survival following metastasectomy. However, more studies are needed to investigate whether surgery offers any advantage over systemic therapy for the poor-risk group.

Spontaneous pneumothorax is an extremely frequent pathology. Despite this, there is still no clear consensus on managing these patients. Therefore, we perform a systematic review and meta-analysis of the effectiveness of percutaneous aspiration compared with tube drainage for treating idiopathic spontaneous pneumothorax. Controlled, randomised clinical trials were selected, in which the effectiveness of percutaneous aspiration is compared with that of chest tube drainage, in terms of resolution of the pneumothorax and rates of relapse and hospital admission. Relevant articles were identified by searching electronic databases (e.g., Medline, EMBASE, CENTRAL, mRCT and Pascal), as well as the references of the papers found in this manner, with a cut-off date of April 2009. Quality was assessed by two independent evaluators, using the CASPe appraisal tool. Effectiveness of percutaneous aspiration is compared with that of chest tube drainage, in terms of resolution of the pneumothorax and rates of relapse and hospital admission.

Background/Objectives: The aim of this study was to analyze whether the implementation of artificial intelligence (AI), specifically the Natural Language Processing (NLP) branch developed by OpenAI, could help a thoracic multidisciplinary tumor board (MTB) make decisions if provided with all of the patient data presented to the committee and supported by accepted clinical practice guidelines. Methods: This is a retrospective comparative study. The inclusion criteria were defined as all patients who presented at the thoracic MTB with a suspicious or first diagnosis of non-small-cell lung cancer between January 2023 and June 2023. Intervention: GPT 3.5 turbo chat was used, providing the clinical case summary presented in committee proceedings and the latest SEPAR lung cancer treatment guidelines. The application was asked to issue one of the following recommendations: follow-up, surgery, chemotherapy, radiotherapy, or chemoradiotherapy. Statistical analysis: A concordance analysis was performed by measuring the Kappa coefficient to evaluate the consistency between the results of the AI and the committee’s decision. Results: Fifty-two patients were included in the study. The AI had an overall concordance of 76%, with a Kappa index of 0.59 and a consistency and replicability of 92.3% for the patients in whom it recommended surgery (after repeating the cases four times). Conclusions: AI is an interesting tool which could help in decision making in MTBs.