Impact of tumor location and pleural invasion on the frequency of skip hilar lymph node metastasis in lung cancer.

Background: The appropriate extent of hilar lymph node (LN) dissection in segmentectomy for lung cancer has not yet been fully investigated. Herein, we assessed the patterns of LN metastasis using network analyses. Methods: Patients with nodal metastases of non-small-cell lung cancer measuring ≤30 mm in diameter who underwent anatomical resection were included. The assumed pathways of metastasis were visualized using Cytoscape software. Metastasis to hilar (#10) or interlobar (#11) LNs but not to more peripheral ones was defined as skip N1 metastasis. Results: A total of 322 patients were included, with 123 of them having pleural invasive tumors and 32 having intrapulmonary metastases. There were 130 patients with pN1 disease and 192 with pN2 disease. The overall proportion of patients with skip N1 metastasis was 17%. Patients with lower lobe tumors had more frequent skip N1 metastasis than those with upper lobe tumors (31% vs. 10%, P<0.001) but had less frequent skip N2 metastasis (10% vs. 20%, P=0.02). The rates of skip metastasis to #11i in the right S6 tumor and right S9-10 tumor were unexpectedly high (22% and 17%, respectively). Similarly, skip metastasis to #11 in the left S6 tumor was relatively high (16%). There was a significant difference in the frequency of skip LN metastasis between tumors with and without pleural invasion (44% vs. 27%, P=0.001). Conclusions: The pattern of LN metastasis differed according to the localized segment of the tumor and the pleural invasion status.

Risk of Death From Other Diseases in Lung Cancer Patients After Sublobar Resection Versus Lobectomy.

BACKGROUND AND OBJECTIVES: A recent Japanese phase three clinical trial for lung cancer suggested a possible advantage of segmentectomy over lobectomy in terms of death from other diseases. This study aimed to compare the risk of death from other diseases based on surgical procedures in lung cancer patients without recurrence. METHODS: We retrospectively reviewed 2121 patients without disease recurrence after curative resection for lung cancer at our institution. Patient characteristics and overall survival were compared between sublobar resection and lobectomy. RESULTS: The sublobar group (n = 595) had a significantly higher proportion of women, non-smokers, patients without comorbidities, patients with a history of other cancers, and patients with earlier-staged disease when compared with the lobectomy group (n = 1526). The overall survival was significantly longer in the sublobar group than in the lobectomy group (p = 0.0034). After adjusting for background characteristics in an analysis of 488 patients, the overall survival had a trend to be longer in the sublobar group than in the lobectomy group (p = 0.071). CONCLUSIONS: Our results suggested that the risk of death from other diseases was potentially higher after lobectomy than after sublobar resection. Although several clinical factors could influence the results, these results may support the benefit of sublobar resection, assuming that the curability of both procedures is similar.

Survival after Lung Metastasectomy from Urothelial Carcinoma: A Multi-Institutional Database Study.

BACKGROUND/OBJECTIVES: The efficacy of lung metastasectomy in patients with urothelial carcinoma remains inconclusive, as there is only limited evidence from small studies. In this study, we aimed to assess the prognostic outcomes of excising pulmonary metastases from urothelial carcinoma. METHODS: In this study, we utilized data from the Metastatic Lung Tumor Study Group of Japan database, a multi-institutional prospective database of pulmonary metastasectomies. We examined the data of patients who had undergone pulmonary metastasectomy for urothelial carcinoma between 1985 and 2021. Exclusion criteria included insufficient clinical information and follow-up of <3 months. RESULTS: The study cohort comprised 100 patients (63 bladder cancer, 37 renal pelvic and ureteral cancer), with a median follow-up of 34 months. There were 70 male and 30 female patients of average age 66.5 ± 10.4 years at lung metastasectomy. The median interval from treatment of the primary lesion to metastasectomy was 19 months and the maximum tumor diameter was 21 ± 15 mm. Three- and five-year overall survival rates were 69% and 59%, respectively. Three- and five-year disease-free survival rates were 56% and 46%, respectively. Multivariate analysis identified larger tumor diameter (hazard ratio: 1.62, 95% confidence interval: 1.21-2.17) and distant metastases at the time of treatment of the primary cancer (hazard ratio: 4.23; 95% confidence interval: 1.54-11.6) as significant adverse prognostic factors for overall survival. CONCLUSIONS: To our knowledge, this is the largest published case series of pulmonary resection for metastatic urothelial carcinoma, providing benchmark data for the assessment of long-term outcomes of this rare entity.

The effect of epidermal growth factor receptor mutation on adjuvant chemotherapy with tegafur/uracil for patients with completely resected, non-lymph node metastatic non-small cell lung cancer (> 2 cm): a multicenter, retrospective, observational study as exploratory analysis of the CSPOR-LC03 study.

BACKGROUND: The use of adjuvant osimertinib for epidermal growth factor receptor (EGFR) mutants is expected to expand to earlier stage I in the future, potentially competing with the current standard of care, oral tegafur/uracil (UFT), in Japan. However, the effect of EGFR mutation status on the therapeutic effect of UFT remains unclear. This study was conducted as an exploratory analysis of a retrospective observational study that investigated the real-world data of postoperative adjuvant chemotherapy in Japan (CSPOR-LC03). METHODS: Between 2008 and 2013, 1812 patients with completely resected adenocarcinoma diagnosed as pathologic stage I (T1 > 2 cm, TNM classification, sixth edition) who have maintained organ function, and no history of other cancers were included. The primary endpoint was the 5-year disease-free survival (DFS) rate, and we compared this rate between four groups classified based on the administration of adjuvant UFT and EGFR mutation status. RESULTS: Of the 933 (51%) patients with EGFR mutations, 394 underwent adjuvant UFT therapy. Of the 879 (49%) patients without EGFR mutations, 393 underwent adjuvant UFT therapy. The 5-year DFS of UFT+/EGFR+ and UFT-/EGFR+ patients were 82.0 and 87.1%, respectively, and those of UFT+/EGFR- and UFT-/EGFR- patients were 80.0 and 86.9%, respectively. DFS was significantly worse in the UFT+ group than in the UFT- group (P = 0.015). Adjuvant UFT therapy was not an independent prognostic factor for DFS, regardless of the EGFR mutation status. CONCLUSION: In pathologic stage I (>2 cm) lung adenocarcinomas with EGFR mutation, the survival benefit of adjuvant UFT was not observed.

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.

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.

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.

Neuroendocrine and squamous cell phenotypes of NUT carcinoma are potential diagnostic pitfalls that discriminating it from mimickers, such as small cell and squamous cell carcinoma.

INTRODUCTION: NUT carcinoma is a rare cancer associated with a poor prognosis. Because of its rarity, its diagnosis is challenging and is usually made by excluding other diagnoses. Immunohistochemical analysis is a reliable technique that contributes to a correct diagnosis, but overestimating the expression of neuroendocrine (NE) markers may result in an incorrect diagnosis. In this study, we established the immunohistochemical phenotypes of NUT carcinoma compared with tumors that mimic its phenotype to identify potential diagnostic pitfalls. METHODS: Eight cases of NUT carcinoma were examined along with eight basaloid squamous cell carcinomas and thirteen cases of small cell carcinoma using an immunohistochemical panel consisting of various antibodies. RESULTS: Of the eight NUT carcinomas, three patients had a smoking history. All the cases examined for INSM1 were positive (6/6, 100%), although the staining was somewhat weak. Among the NE markers, synaptophysin was variably positive in two NUT carcinomas (2/6, 33%); however, all cases were negative for ASCL1, chromogranin A, and CD56. Moreover, the squamous cell markers, p40 and CK5/6, were weakly expressed in 4/6 (67%) and 3/6 (50%) of the NUT carcinomas, respectively. CONCLUSIONS: For tumors with an ambiguous morphology, applying the neuroendocrine phenotype of NUT carcinoma may be misleading; particularly, when distinguishing it from small-cell carcinoma. Similarly, null or weak expression of squamous cell markers may be observed in NUT carcinoma, but this differs from squamous cell carcinoma, which consistently demonstrates strong positivity for squamous cell markers.

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.

Prediction of Tumor PD-L1 Expression in Resectable Non-Small Cell Lung Cancer by Machine Learning Models Based on Clinical and Radiological Features: Performance Comparison With Preoperative Biopsy.

OBJECTIVE: We investigated if PD-L1 expression can be predicted by machine learning using clinical and imaging features. METHODS: We included 117 patients with c-stage I/II non-small cell lung cancer who underwent radical resection. A total of 3951 radiomic features were extracted by defining the tumor (within tumor contour), rim (contour ±3 mm) and exterior (contour +10 mm) on preoperative contrast computed tomography. After feature selection by Boruta algorithm, prediction models of tumor PD-L1 expression (22C3: ≥1%, <1%) of resected specimens were constructed using Random Forest: radiomics, clinical, and combined models. Their performance was evaluated by 5-fold cross-validation, and AUCs were compared using Delong test. Next, study groups were categorized as patients without biopsy (training set), and those with biopsy (test set). Predictive ability of biopsy was compared to each prediction model. RESULTS: Of 117 patients (66 ± 10 years old, 48% male), 33 (28.2%) had PD-L1≥1%. Mean AUC of PD-L1≥1% for the validation set in radiomics, clinical, and combined models were 0.80, 0.80, and 0.83 (P = .32 vs. clinical model), respectively. The diagnosis of malignancy was made in 22 of 38 (58%) patients with attempted biopsies, and PD-L1 was measurable in 19 of 38 (50%) patients. Diagnostic accuracies of PD-L1≥1% from 19 determinable biopsies and 38 all attempted biopsies were 0.68 and 0.34, respectively. These were out performed by machine learning: 0.71, 0.71, and 0.74 for radiomics, clinical, and combined models, respectively. CONCLUSIONS: Our machine learning could be an adjunctive tool in estimating PD-L1 expression prior to neoadjuvant treatment, particularly when PD-L1 is indeterminable with biopsy.

Prognostication Using the Japanese Risk Calculator for Lung Cancer Surgery.

INTRODUCTION: Various calculation models to predict surgical risk have been developed globally. These have been reported to be helpful for estimating the long-term prognosis. In Japan, a similar model for lung cancer surgery was developed in 2017; however, there have been no reports investigating its association with the long-term prognosis. The objective of this study was to assess the association of the model's predictions with the long-term prognosis. PATIENTS AND METHODS: In this retrospective single-institutional study, we analyzed lung cancer patients who underwent radical lobectomy between 2010 and 2016. We calculated the predicted rates of mortality (PRM) and composite outcomes of mortality with major morbidity (PRMM) in eligible patients (N = 1054) using this model and classified them into 2 classes (class A, PRM ≥0.8% and PRMM ≥5.9%; class B, others) based on their models' predictions. We assessed the prognostic impact and clinical utility of the model's predictions. RESULTS: Class A included patients with significantly poorer postoperative overall survival than class B (log-rank, P < .001; hazard ratio, 3.160; 95% confidence interval, 2.390-4.178). Time-dependent receiver operating characteristic curve analyses revealed that the model's predictions correlated strongly with 1- and 2-year overall survival and decision curve analysis showed that they had high net benefits for prediction of those. CONCLUSION: The Japanese risk calculator could stratify the long-term prognosis for lung cancer patients after surgery. This model may be a valuable tool not only for multidisciplinary thoracic oncology teams to discuss treatment strategies for high-risk cases but also for them to share the decision-making process with patients.

Outcomes of lung oligometastasis in pancreatic cancer.

OBJECTIVE: Pancreatic cancer with lung oligometastasis may have favourable overall survival. The aim of this study was to evaluate outcomes of pancreatic cancer with lung oligometastases including both synchronous and metachronous metastases. METHODS: Consecutive pancreatic cancer patients with lung metastasis treated at our institution between February 2015 and December 2021 were identified from our prospectively maintained database. Clinical characteristics and outcomes were compared and analysed according to the extent of lung metastases. Predictors for overall survival were analysed using the Cox proportional hazards model. RESULTS: A totoal of 171 patients were included (oligometastasis/polymetastasis/multi-organ metastasis: 34/50/87). Patients with oligometastases were more likely to undergo surgical resection (41% vs. 0% vs. 2%) and showed a longer median overall survival (41.3 vs. 17.6 vs. 13.1 months) compared with those with other types of metastases. Oligometastasis (hazard ratio, 0.43; 95% confidence interval, 0.24-0.76; P = 0.004) was identified as an independent factor predicting favourable overall survival in patients with lung-only metastasis. Disease status (synchronous vs. metachronous) was not associated with survival in patients with oligometastasis (29.4 vs. 41.3 months, P = 0.527) and polymetastasis (17.9 vs. 16.7 months, P = 0.545). Selected patients who underwent surgical resection showed a median overall survival of 52.7 months. CONCLUSIONS: Patients with lung oligometastases presented a favourable prognosis. Surgical resection in selected patients was associated with a long median overall survival.

Risk factors for bronchopleural fistula after lobectomy for lung cancer.

Background: Bronchopleural fistula (BPF) after lobectomy for lung cancer is a rare but serious complication. This study aimed to stratify the risk factors of BPF. Methods: Patients who underwent lobectomy without bronchoplasty and preoperative treatment for lung cancer between 2005 and 2020 were retrospectively reviewed. We examined the association between the incidence of BPF and background factors, including comorbidities, preoperative blood test results, respiratory function, surgical procedure, and extent of lymphadenectomy. Results: Among the 3,180 patients who underwent lobectomy, 14 (0.44%) developed BPF. The median interval from surgery to BPF onset was 21 days (range, 10-287). Two of the 14 patients died of BPF (mortality rate, 14%). All 14 patients who developed BPF were men and had undergone right lower lobectomy. Other factors significantly associated with the development of BPF were older age, heavy smoking, obstructive ventilatory failure, interstitial pneumonia, history of malignancy, history of gastric cancer surgery, low serum albumin levels, and histology. Multivariable analysis in the subgroup of men who underwent right lower lobectomy revealed that high level of serum C-reactive protein and a history of gastric cancer surgery were significantly associated with BPF, whereas bronchial stump coverage was inversely associated with BPF. Conclusions: Men who underwent right lower lobectomy were at increased risk of BPF. The risk was higher when the patient had high serum C-reactive protein or a history of gastric cancer surgery. Bronchial stump coverage might be effective in patients at high risk of BPF.

Detection of EGFR mutations in early-stage lung adenocarcinoma by machine learning-based radiomics.

Background: We hypothesized that epidermal growth factor receptor (EGFR) mutations could be detected in early-stage lung adenocarcinoma using radiomics. Methods: This retrospective study included consecutive patients with clinical stage I/II lung adenocarcinoma who underwent curative-intent pulmonary resection from March-December 2016. Using preoperative enhanced chest computed tomography, 3,951 radiomic features were extracted in total from the tumor (area within the tumor boundary), tumor rim (area within ±3 mm of the tumor boundary), and tumor exterior (area between +10 mm outside the tumor and tumor boundary). A machine learning-based radiomics model was constructed to detect EGFR mutations. The combined model incorporated both radiomic and clinical features (gender and smoking history). The performance was validated with five-fold cross-validation and evaluated using the mean area under the curve (AUC). Results: Of 99 patients (mean age, 66±11 years; female, 66.6%; clinical stage I/II, 89.9%/10.1%), EGFR mutations in the surgical specimen were detected in 46 (46.5%). A median of 4 (range, 2 to 8) radiomic features was selected for each validation session. The mean AUCs in the radiomics and combined models were 0.75 and 0.83, respectively. The two top-ranked features in the combined model were the radiomic features extracted from the tumor exterior and the tumor, indicating a higher impact of radiomic features over relevant clinical features. Conclusions: Radiomic features, including those in the peri-tumoral area, may help detect EGFR mutations in lung adenocarcinomas in preoperative settings. This non-invasive image-based technology could help guide future precision neoadjuvant therapy.

Risk-adjusted hazard analysis of survival after pulmonary metastasectomy for uterine malignancies in 319 cases.

Objective: There is little evidence of the outcome of pulmonary metastasectomy for uterine tumors when comparing different histologies. This study aimed to delineate the primary histology that leads to more favorable outcomes after pulmonary metastasectomy. Methods: The database of the Metastatic Lung Tumor Study Group of Japan for 1984 to 2016 was used to analyze the outcomes of patients with gynecologic malignancies who underwent pulmonary metastasectomy. Prognostic factors and long-term outcomes were compared according to the histology of the primary uterine tumors, specifically adenocarcinoma, squamous cell carcinoma, and sarcoma. The adjusted hazard risks according to disease-free intervals (DFIs) and the number and maximum size of resected tumors were also analyzed to delineate the pattern of risk trends. Results: A total of 319 patients were included in the analysis (122 with adenocarcinomas, 113 with squamous cell carcinomas, 46 with sarcomas, and 38 with other types). The 5-year survival rate was 66.5% for the entire cohort, 71.6% for the patients with adenocarcinoma, 61.3% for those with squamous cell carcinoma, and 55.4% for those with sarcoma. Multivariate analyses identified the positive prognostic factors as DFI ≥12 months in adenocarcinoma and sarcoma and the primary site (corpus) of uterine tumors in adenocarcinoma. The nonlinear adjusted hazard risks indicated that a shorter DFI was associated with an elevated risk of death in patients with adenocarcinoma and sarcoma. Conclusions: The survival outcome after pulmonary metastasectomy varies according to primary tumor histology, and the prognostic factors differ among histologic subtypes. Surgical indications should be determined based on the prognostic factors for each histology.