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The aim of this study was to evaluate the impact of the preoperative body mass index (BMI) on the postoperative outcomes in patients with completely resected non-small cell lung cancer (NSCLC).The data of patients with NSCLC in whom R0 resection was achieved were extracted from the database of NSCLC samples accumulated by the Japanese Joint Committee of Lung Cancer Registry in the year 2010, and the surgical outcomes including postoperative morbidity, mortality and the prognosis, were evaluated.Among 18,978 registered lung cancer cases, 16,509 patients (9996 men and 6513 women) were extracted. The median of age was 69 years old, and the histologic types included adenocarcinoma (n = 12,029), squamous cell carcinoma (n = 3286), large-cell carcinoma (n = 488) and others. The patients were divided into three groups according to their BMI: normal (BMI 18.5 to25), underweight (BMI 18.5) and overweight (BMI ≥ 25). Multivariate logistic regression analyses of factors associated with postoperative morbidity and mortality showed no significant differences among the three groups. In comparison to the normal group, the overall survival (OS) of the underweight group was significantly worse (p 0.001) while that of the overweight group was marginally better (p = 0.075). A multivariate analysis of factors associated with OS showed that in addition to the age, sex and clinical stage, the preoperative BMI (underweight group vs. normal group: hazard ratio [HR] 1.417 [95% confidence interval {CI}: 1.278-1.572, p 0.001], overweight group vs. normal group: HR 0.883 [95% CI: 0.806-0.967, p = 0.007]) was an independent prognostic factor. A multivariate analysis for the disease-free survival (DFS) also showed the preoperative BMI to be an independent significant prognostic factor.The preoperative BMI is an independent prognostic factor in patients with completely resected NSCLC. A low preoperative BMI was associated with significantly poor survival in Japan.

Background: We previously reported that an identification of sentinel lymph node (SN) with a techenetium-99m ( 99 m Tc ) tin colloid by ex vivo counting, i.e. the radio-activity of dissected lymph nodes, was a reliable method of establishing the first site of nodal metastasis in non-small cell lung cancer [J. Thorac. Cardiovasc. Surg. 124(2002)486]. However, for SN navigation surgery, SN should be identified before lymph node dissection (in vivo) but not after that (ex vivo). In order to reduce mediastinal lymph node dissection for clinical stage I non-small cell lung cancer (NSCLC) by SN navigation surgery, the SN identifications for hilar lymph nodes by ex vivo counting, and for mediastinal lymph nodes by in vivo, were evaluated. Methods: Intra-operative SN identification using 99 m Tc tin colloid was conducted on 104 patients with clinical stage I NSCLC who had had major lung resections with mediastinal lymph node dissections. The hilar SNs were identified by ex vivo counting (after lung resection) and the mediastinal SNs were identified by in vivo counting (before lymph node dissection). To evaluate the accuracy of mediastinal SN identification by in vivo counting, it was compared with the data by ex vivo counting. Results: SNs were identified in 84 patients (81%). SNs were identified at the hilum by ex vivo counting in 78 patients (93%) and at the mediastinum by in vivo counting in 40 patients (48%). While 15 patients had lymph node metastases, i.e. N1 in six and N2 in nine, the SNs could be found to have metastases during operation in 13 of the 15 patients (87%). The in vivo counting of the mediastinum missed out the mediastinal SNs identified by ex vivo counting in four of the 84 patients (5%). Conclusion: If the hilar SNs identified by ex vivo counting and the mediastinal SNs identified by in vivo counting had no metastases, then mediastinal lymph node dissection could be abbreviated for patients with clinical stage I NSCLC.

Background: While pulmonary nodules can be substantially divided into solid and ground-glass opacity (GGO) ones on CT image, they have different biological natures which could cause false positive or false negative to diagnose malignancy on positron emission tomography with fluorodeoxyglucose (FDG-PET). To determine the effectiveness of PET for small pulmonary nodules, the nodules were classified into solid and GGO ones, of which results were compared with the data of PET scans. The lower limit size of nodules for PET imaging was also evaluated. Methods: Prospective FDG-PET scans were undertaken for 136 non-calcified nodules less than 3 cm in diameter. CT density histograms were made for each nodule to classify into solid and GGO ones. Results: Eighty-one nodules were malignant and 55 were benign. All of the 20 nodules less than 1 cm in diameter ( n =8 in malignant, n =12 in benign), were negative on PET regardless of the histology. In the 116 nodules 1–3 cm in diameter ( n =73 in malignant, n =43 in benign), there were 15 false negative and 15 false positive nodules, with a sensitivity of 79% and specificity of 65%. CT density histograms showed 101 solid nodules ( n =63 in malignant, n =38 in benign) and 15 GGO nodules ( n =10 in malignant, n =5 in benign). All of the 10 malignant nodules with GGO images were histologically well-differentiated adenocarcinoma and 9 of them (90%) were false negative on PET. Four of the 5 (80%) benign nodules with GGO images were focal pneumonia with well-preserved air spaces, causing false positive on PET. Sensitivity and specificity for nodules with GGO images were 10 and 20%, respectively, which were significantly lower than 90 and 71% for nodules with solid images ( P Conclusion: Pulmonary nodules which are less than 1 cm in size or show GGO images on CT cannot be evaluated accurately by PET.