Prognostic impact of adjuvant therapy for cisplatin-unfit patients with non-small-cell lung cancer: A multicenter analysis.

INTRODUCTION: No evidence exists for postoperative adjuvant therapy in elderly or renal dysfunction patients with non-small-cell lung cancer (NSCLC) who are unfit to receive cisplatin (CDDP). Herein, we evaluated the efficacy of postoperative adjuvant therapy for CDDP-unfit patients. MATERIALS AND METHODS: We defined CDDP-unfit patients as those aged ≥75 years or with renal dysfunction based on criteria established by expert panels and from prospective studies. CDDP-fit patients comprised all others. Between 2010 and 2020, among 1,423 patients with pathological stage II-III (8th edition of the AJCC-TNM Classification) NSCLC, 454 were identified as unfit for CDDP. Following propensity score matching in CDDP-unfit patients with and without postoperative adjuvant therapy, we analyzed the overall survival (OS) and disease-free survival (DFS) of each group and assessed the impact of adjuvant therapy on survival. RESULTS: OS was significantly better in patients who received adjuvant therapy than in those who did not (5-year OS rate: 76.1 % vs. 50.0 %, p < 0.01) among 255 propensity score-matched patients. DFS was also significantly better in patients who received adjuvant therapy than in those who did not (5-year OS: 54.6 % vs. 35.1 %, p < 0.01). CONCLUSIONS: Our findings suggest that postoperative adjuvant therapy could be beneficial for CDDP-unfit patients aged ≥75 years or with renal dysfunction. Future studies for CDDP-unfit patients should be designed based on the results of this study to determine the potential benefits of adjuvant therapy.

Utility of visualization and quantification of surgical techniques using motion analysis software for thoracoscopic surgery.

In this era of endoscopic surgery, feedback from recorded surgical videos is useful and efficient; therefore, effective methods of obtaining this feedback are needed. We analyzed surgical videos using motion analysis software and verified the usefulness of visualizing and objectively evaluating surgical procedures. We measured the grasping and traction angles of the vascular sheath when using forceps and the trajectory of the forceps tip for the upper pulmonary vein during right upper lobectomy during video-assisted thoracoscopic surgery performed by three trainers and trainees. Compared with the trainers, the trainees exhibited insufficient traction of the vascular sheath, performed many slow and unnecessary manipulations, and sometimes performed sudden and fast movements. By visualizing the surgical procedures, the trainee will be better able to identify dangerous or futile movements. It may also make it easier to objectively recognize improvements in one's technique. Motion analysis software could allow for efficient surgical education and self-learning.

A survival nomogram model for patients with resectable non-small cell lung cancer and lymph node metastasis (N1 or N2) based on the Surveillance, Epidemiology, and End Results Database and single-center data.

Background: The ability to predict survival in patients with lymph node metastasis has long been elusive. After surgery, the basis for decision-making on the combination treatment of patients is not clear. The purpose of this study was thus to build a survival nomogram model to effectively predict the overall survival (OS) of patients with non-small cell lung cancer (NSCLC) and lymph node metastasis. The number of dissected lymph nodes (NDLN), number of positive lymph nodes (NPLN), lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) were included in this study to determine the risk factors in patients with advanced NSCLC. Methods: The data of 5,132 patients with NSCLC and lymph node metastasis (N1 or N2) were extracted from the Surveillance, Epidemiology, and End Results (SEER) database according to inclusion and exclusion criteria and used as the training cohort. We enrolled 117 patients from the First Affiliated Hospital, Zhejiang University School of Medicine as the external validation cohort. Receiver operating characteristic (ROC) analyses were performed to determine the best cutoff values for predicting the prognosis of patients with NSCLC. Based on the risk factors affecting prognosis, a nomogram was constructed using univariate and multivariate Cox proportional hazard regression models. The discrimination ability of the nomogram was evaluated with the concordance index (C-index) and calibration curves. For the independent risk factors, survival curves were drawn using Kaplan-Meier analysis. Results: ROC curve analysis showed that the optimal NPLN cut-off value was 4, LNR was 0.26, and LODDS was -0.25, respectively. However, LNR was nonsignificant in multivariate analysis, with a P value of 0.274. The novel survival nomogram model included seven independent risk factors, among which were NPLN, LODDS, and chemotherapy. Model 4, which included N stage, NPLN, and LODDS, had a higher likelihood ratio (LR) and C-index than did the other models. The C-index was 0.648 [95% confidence interval (CI): 0.636-0.659] in the training cohort and 0.807 (95% CI: 0.751-0.863) in the external validation cohort, showing good prognostic accuracy and discrimination ability. According to the median risk score, the patients in the training cohort and external validation cohort were divided into high-risk and low-risk groups, between which significant differences in OS were found. In the training cohort, age, sex, T stage, N stage, NPLN, LODDS, and chemotherapy were significantly associated with OS (P<0.001). In the external validation cohort, T stage, NPLN, LODDS, and chemotherapy were found to be correlated with OS. Conclusions: The NPLN and LODDS nomogram is an accurate survival prediction tool for patients with N1 or N2 NSCLC. Patients with lymph node metastasis can benefit from chemotherapy, but no evidence shows that radiotherapy is necessary for patients with resectable NSCLC.

Prognostic impact of ground-glass opacity components in lung cancer with lymph node metastasis.

Background: In early-stage non-small cell lung cancer (NSCLC), the presence of a ground-glass opacity (GGO) component in the primary lesion on high-resolution computed tomography (CT) is recognized as a favorable prognostic factor. Even in NSCLC with a GGO component, lymph node metastases are occasionally detected during or after surgery. However, the prognostic impact of GGO components in these patients has not been clarified. We aimed to examine the prognostic significance of GGO components as radiological findings of primary lesions of completely resected NSCLC with pathological nodal involvement. Methods: This study included 290 patients (11%) with pathological nodal involvement among 2,546 patients who underwent complete resection of NSCLC at our institution. Patients with an unknown primary lesion (T0) or centrally located lung cancer were excluded. The 290 patients were divided into two groups [i.e., the part-solid ("PS") and "Solid" groups] according to the radiological findings of the primary lesion, and their clinicopathological characteristics and prognoses were compared. Furthermore, a multivariate analysis was performed using the Cox proportional hazards model to examine the factors affecting the overall survival (OS). Results: The OS in the PS group (n=58) was significantly longer than that in the Solid group (n=232; P=0.039). However, multivariate analysis only revealed age [hazard ratio (HR) =1.77; 95% confidence interval (CI): 1.15-2.72] and the clinical T factor (HR =1.58; 95% CI: 1.01-2.47), but not the radiological findings of primary lesions, as the independent prognostic factors. Furthermore, the OS did not differ significantly between the PS and Solid groups matched for the clinical T and N factors (n=58 patients each). Conclusions: GGO components in the primary lesion, considered a decisive prognostic factor in early-stage NSCLC, did not affect the prognosis of patients with NSCLC and pathological nodal involvement.

Accuracy of thoracic nerves recognition for surgical support system using artificial intelligence.

We developed a surgical support system that visualises important microanatomies using artificial intelligence (AI). This study evaluated its accuracy in recognising the thoracic nerves during lung cancer surgery. Recognition models were created with deep learning using images precisely annotated for nerves. Computational evaluation was performed using the Dice index and the Jaccard index. Four general thoracic surgeons evaluated the accuracy of nerve recognition. Further, the differences in time lag, image quality and smoothness of movement between the AI system and surgical monitor were assessed. Ratings were made using a five-point scale. The computational evaluation was relatively favourable, with a Dice index of 0.56 and a Jaccard index of 0.39. The AI system was used for 10 thoracoscopic surgeries for lung cancer. The accuracy of thoracic nerve recognition was satisfactory, with a recall score of 4.5 ± 0.4 and a precision score of 4.0 ± 0.9. Though smoothness of motion (3.2 ± 0.4) differed slightly, nearly no difference in time lag (4.9 ± 0.3) and image quality (4.6 ± 0.5) between the AI system and the surgical monitor were observed. In conclusion, the AI surgical support system has a satisfactory accuracy in recognising the thoracic nerves.

Optimal Treatment Strategy for Oligo-Recurrence Lung Cancer Patients with Driver Mutations.

BACKGROUND: The efficacy of local therapies for lung cancer patients with postoperative oligo-recurrence has been reported. However, whether local therapies should be chosen over molecular targeted therapies for oligo-recurrence patients with driver mutations remains controversial. Therefore, we aimed to investigate the optimal initial treatment strategy for oligo-recurrence in lung cancer patients with driver mutations. METHODS: Among 2152 patients with lung adenocarcinoma who underwent surgical resection at our institute between 2008 and 2020, 66 patients with driver mutations who experienced cancer oligo-recurrence after surgery and were treated with local or molecularly targeted therapy as an initial therapy after recurrence were evaluated. Oligo-recurrence was characterized by the presence of 1 to 3 recurrent lesions. These patients were investigated, focusing on their post-recurrence therapies and prognoses. RESULTS: The median follow-up period was 71 months. Local and molecular targeted therapies were administered to 41 and 25 patients, respectively. The number of recurrence lesions tended to be lower in the initial local therapy group than in the molecular targeted therapy group. In the initial local therapy group, 23 patients (56%) subsequently received molecular targeted therapies. The time from recurrence to the initiation of molecular targeted therapy was significantly longer in the local therapy group than in the molecular targeted therapy group (p < 0.001). There was no significant difference in post-recurrence overall survival (hazard ratio, 1.429; 95% confidence interval, 0.701-2.912; log-rank, p = 0.324) and post-recurrence progression-free survival (hazard ratio, 0.799; 95% confidence interval, 0.459-1.390; log-rank, p = 0.426) in the initial local ablative therapy group compared with the initial molecular targeted therapy group. CONCLUSIONS: Local therapies as a first-line treatment did not show statistically significant differences in post-recurrence survival or progression-free survival compared with molecular targeted therapies. However, local therapies as an initial treatment should be considered preferably, as they can cure the recurrence and can delay the start of administration of molecular targeted therapies.

Branching patterns and variations of the bronchus and blood vessels in the superior segment of the right lower lobe: a three-dimensional computed tomographic bronchography and angiography study.

Background: Superior segmentectomy is classified as simple due to the single intersegmental plane between the superior and basal segments. However, oncological outcomes in patients undergoing superior segmentectomy tend to be worse compared to those receiving other segmentectomy. The aim of this study is to determine the branching patterns and variations of the bronchus and blood vessels of the superior segment of the right lower lobe (RS6). Methods: Three-dimensional computed tomographic bronchography and angiography (3D-CTBA) was reconstructed in 316 patients who underwent enhanced chest computed tomography (CT) and subsequent surgery in our center from November 2018 to March 2021. Results: The bronchus in RS6 consisted of a single stem in 96.5% cases (305/316), and 2 separate stems in the remaining 3.5% cases (11/316). The artery in RS6 consisted of a single stem in 59.5% cases (188/316), 2 separate stems in 37.0% cases (117/316), and 3 separate stems in the remaining 3.5% cases (11/316). The vein in RS6 consisted of a single stem in 94.3% cases (298/316) and 2 separate stems in the remaining 5.7% cases (18/316). B6 variation was noted in 1.6% cases (5/316). A6 variation was noted in 18.0% cases (57/316), including the following: (I) coexistence of A6 and A2 (n=25); (II) A6b originating from A9+10/A10 alone (n=20); (III) A6c originating from A9+10 (n=10); and (IV) co-draining of A6 and A7 (n=2). V6 variation was noted in 11.7% cases (37/316), including the following: (I) co-draining of V6 and V2 (n=20); (II) co-draining of V6 and V4 (n=5); (III) V6 and V8+9 co-draining (n=3); (IV) V6 draining into the superior pulmonary vein (n=4); and (V) direct V6 draining into the left atrium (n=5). Conclusions: Variation of A6 and V6 in RS6 is much more common than previously reported. 3D-CTBA reconstruction is useful for pre-surgery planning.