31 research outputs found

    Prognostic impact of noninvasive areas in resected pathological stage IA lung adenocarcinoma

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    Abstract Main Problems In non‐small‐cell lung cancer, ground‐glass opacity on computed tomography imaging reflects pathological noninvasiveness and is a favorable prognostic factor. However, the significance of pathological noninvasive areas (NIAs) has not been fully revealed. In this study, we aimed to elucidate the prognostic impact of NIAs on lung adenocarcinoma. Methods We analyzed 402 patients with pathological stage (p‐Stage) IA lung adenocarcinoma who underwent surgery in 2013–2016 at two institutions and examined the association of the presence of NIAs with clinicopathological factors and prognosis. Furthermore, after using propensity‐score matching to adjust for clinicopathological factors, such as age, sex, smoking history, pathological invasive area size, pathological T factor (p‐T), p‐Stage, and histological subtype (lepidic predominant adenocarcinoma [LPA] or non‐LPA), the prognostic impact of NIAs was evaluated. Results Patients were divided into NIA‐present (N = 231) and NIA‐absent (N = 171) groups. Multivariable analysis showed that NIA‐present was strongly associated with earlier p‐T, earlier p‐Stage, LPA, and epidermal growth factor receptor mutation. Kaplan–Meier survival analysis showed that the NIA‐present group displayed a better prognosis than the NIA‐absent group in disease‐free survival (DFS) and overall survival (OS) (5‐year DFS 94.6% vs. 87.2%, 5‐year OS 97.2% vs. 91.1%). However, after adjusting for clinicopathological factors by propensity score matching, no significant differences in prognosis were identified between the NIA‐present and NIA‐absent groups (5‐year DFS 92.4% vs 89.6%, 5‐year OS 95.6% vs 94.3%). Conclusions Our current study suggests that the prognostic impact of the presence of NIAs on lung adenocarcinoma is due to differences in clinicopathological factors

    Smoking enhances the expression of angiotensin-converting enzyme 2 involved in the efficiency of severe acute respiratory syndrome coronavirus 2 infection

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    Smoking is one of the risk factors most closely related to the severity of coronavirus disease 2019 (COVID-19). However, the relationship between smoking history and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectivity is unknown. In this study, we evaluated the ACE2 expression level in the lungs of current smokers, ex-smokers, and nonsmokers. The ACE2 expression level of ex-smokers who smoked cigarettes until recently (cessation period shorter than 6 months) was higher than that of nonsmokers and ex-smokers with a long history of nonsmoking (cessation period longer than 6 months). We also showed that the efficiency of SARS-CoV-2 infection was enhanced in a manner dependent on the angiotensin-converting enzyme 2 (ACE2) expression level. Using RNA-seq analysis on the lungs of smokers, we identified that the expression of inflammatory signaling genes was correlated with ACE2 expression. Notably, with increasing duration of smoking cessation among ex-smokers, not only ACE2 expression level but also the expression levels of inflammatory signaling genes decreased. These results indicated that smoking enhances the expression levels of ACE2 and inflammatory signaling genes. Our data suggest that the efficiency of SARS-CoV-2 infection is enhanced by smoking-mediated upregulation of ACE2 expression level

    Acute median arcuate ligament syndrome after pancreaticoduodenectomy

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    Abstract Background Median arcuate ligament syndrome (MALS) can cause severe complications after pancreaticoduodenectomy (PD). Most of the reported cases of MALS have been diagnosed perioperatively and can be treated efficiently by interventional radiology or division of the median acute ligament (MAL) fibers. Case report A 69-year-old woman underwent PD with resection of the SMV for pancreatic head cancer. Intraoperative exploration showed normal anatomy of the celiac trunk. Intraoperative digital palpation revealed normal pulsation of the common hepatic artery after resection of the gastroduodenal artery. On postoperative day (POD) 3, her liver function tests were abnormal, and bloody fluids were found in the drain. Abdominal CT showed necrosis of the pancreatic body and ischemia in the liver secondary to MALS which was not detected in the preoperative CT. Interventional radiology was tried first but failed. Division of the MAL fibers markedly increased the blood flow in the hepatic artery. Resection of the remnant pancreas and spleen was also performed simultaneously. Abdominal CT on POD 20 showed re-occlusion of the celiac artery. She experienced rupture of the gastrojejunostomy site, severe hepatic cytolysis, and choledochojejunostomy stricture thereafter. Conclusions This is the third case of MALS that has developed acutely after PD. MALS can cause refractory complications even after MAL release

    Development of artificial intelligence prognostic model for surgically resected non-small cell lung cancer

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    Abstract There are great expectations for artificial intelligence (AI) in medicine. We aimed to develop an AI prognostic model for surgically resected non-small cell lung cancer (NSCLC). This study enrolled 1049 patients with pathological stage I–IIIA surgically resected NSCLC at Kyushu University. We set 17 clinicopathological factors and 30 preoperative and 22 postoperative blood test results as explanatory variables. Disease-free survival (DFS), overall survival (OS), and cancer-specific survival (CSS) were set as objective variables. The eXtreme Gradient Boosting (XGBoost) was used as the machine learning algorithm. The median age was 69 (23–89) years, and 605 patients (57.7%) were male. The numbers of patients with pathological stage IA, IB, IIA, IIB, and IIIA were 553 (52.7%), 223 (21.4%), 100 (9.5%), 55 (5.3%), and 118 (11.2%), respectively. The 5-year DFS, OS, and CSS rates were 71.0%, 82.8%, and 88.7%, respectively. Our AI prognostic model showed that the areas under the curve of the receiver operating characteristic curves of DFS, OS, and CSS at 5 years were 0.890, 0.926, and 0.960, respectively. The AI prognostic model using XGBoost showed good prediction accuracy and provided accurate predictive probability of postoperative prognosis of NSCLC

    Assessment of pleural air leakage using digital chest drainage system after surgical pulmonary resection: Comparison of visible alveolar air leakage with the digital value measured by a digital chest drainage system

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    <div><p>Background</p><p>The sensitivity of postoperative pleural air leakage (PAL) after pulmonary resection is evaluated by a simple subjective grading method in clinical practice. A new electronic digital chest drainage evaluation system (DCS) recently became clinically available. This study was designed to evaluate the clinical application of the DCS in monitoring the airflow volume and managing postoperative PAL.</p><p>Methods</p><p>We prospectively enrolled 25 patients who underwent pulmonary resection. Postoperative PAL was evaluated using both conventional PAL grading based on the physician’s visual judgment (analog chest drainage evaluation system [ACS]: Level 0 = no leakage to 4 = continuous leakage) and the DCS. The DCS digital measurement was recorded as the flow volume (ml/min), which was taken once daily from postoperative day 1 to the day of chest drainage tube removal.</p><p>Results</p><p>In total, 45 measurements were performed on 25 patients during the evaluation period. Postoperative PAL was observed in five patients (20.0%) and judged as ACS Level >1. The mean DCS values corresponding to ACS Levels 0, 1, 2, and 3 were 2.42 (0.0–11.3), 48.6 (35.4–67.9), 95.6 (79.7–111.5), and 405.3 (150.3–715.6), respectively. The Spearman correlation test showed a significant positive correlation between the ACS PAL level and DCS flow volume (<i>R</i> = 0.8477, <i>p</i> < 0.001).</p><p>Conclusions</p><p>A relationship between the visual PAL level by the ACS and the digital value by the DCS was identified in this study. The numeric volume obtained by the DCS has been successful in information-sharing with all staff. The digital PAL value evaluated by the DCS is appropriate, and the use of the DCS is promising in the treatment of postoperative PAL after pulmonary resection.</p></div

    Ectopic thymoma presenting as a giant intrathoracic mass: A Case Report

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    <p>Abstract</p> <p>Thymoma is an epithelial neoplasm of the thymus, which commonly lies in the anterior mediastinum and, therefore, an intrathoracic origin is considered to be rare. This report presents a case of giant thymoma arising in the thoracic cavity. A 61-year-old male presented with a chronic cough and breathlessness. Chest CT revealed a well enhanced giant mass approximately 18 cm in diameter in the right thoracic cavity. FDG-PET showed that the SUVmax of the tumor was 5.0 in the center and almost 2.5 in the surrounding area. A trans- bronchial needle biopsy was performed to find atypical cells. Surgery was scheduled based on the radiological and histological findings. A well-defined giant mass in the thoracic cavity, measuring 18 × 14.5 × 11 cm had undergone expansive growth without apparent invasion. The tumor was completely resected without combined resection of the other organs. The weight of the tumor was 1350 g. The tumor was histologically diagnosed to be type AB thymoma according to the World Health Organization classification and Masaoka stage IIB.</p

    Is radical local therapy effective in postoperative recurrent EGFR‐mutated non‐small cell lung cancer?

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    Abstract Background Long‐term survival can be achieved with radical local therapy in some cases of postoperative recurrence of non‐small cell lung cancer (NSCLC). Here, we evaluated post‐recurrence survival (PRS) after treatment of postoperative recurrent epidermal growth factor receptor (EGFR) mutated NSCLC and examined the effectiveness of radical local therapy. Methods This multicenter prospective cohort study was conducted in 14 hospitals. The inclusion criteria for this study were patients with recurrence after radical resection for NSCLC. Information about the patient characteristics at recurrence, tumor‐related variables, primary surgery, and treatment for recurrence was collected. After registration, follow‐up data (e.g., treatment and survival outcomes) were obtained and analyzed. Results From 2010 to 2015, 505 patients with recurrent NSCLC were enrolled into the study, and 154 EGFR mutation‐positive cases were included. As the initial treatment for recurrence, 111 patients (72%) received chemotherapy, 14 (9%) received chemoradiotherapy, 14 (9%) received definitive radiotherapy, and seven (5%) received surgical resection. The remaining eight patients (5%) received supportive care. The median PRS and 5‐year survival rates for all cases were 64 months and 53.2%, respectively. The 5‐year survival rate according to the initial treatment was as follows: supportive care, 0%; chemotherapy, 53.3% and radical local therapy, 60.1%. The six patients who received radical local treatment remained recurrence‐free for more than 3 years after recurrence with only initial treatment. Conclusions Although radical local therapy may be curative in some patients, chemotherapy including EGFR‐TKI treatment is expected to provide long‐term survival comparable to that of radical local therapy
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