Prognostic impact of preoperative comorbidities in geriatric patients with early-stage lung cancer: Significance of sublobar resection as a compromise procedure

Association of cardiovascular disease and CIRS‑G and ACE‑27 comorbidity indices with pathological complete response of non‑small cell lung cancer to neoadjuvant chemoimmunotherapy

Neoadjuvant chemoimmunotherapy (NCIO) is a new and effective treatment for cancer, but its efficacy in treating certain patients is unclear. We previously found that comorbidity was an independent factor associated with the pathological complete response (pCR) of non-small cell lung cancer (NSCLC) to NCIO. However, we did not address which comorbidities or comorbidity indices were associated with pCR. The present study retrospectively collected the data for NSCLC patients who underwent NCIO after surgery at The Second Xiangya Hospital of Central South University (Hunan, China) between January 2019 and July 2022. The associations between comorbidities/comorbidity indices and pCR rates/clinicopathological factors were analyzed. In total, 101 eligible patients with stage IIB-IIIC NSCLC were enrolled. Comorbid hypertension [odds ratio (OR)=0.321(0.110-0.937)], vascular disease [OR=0.275 (0.111-0.677)] and cardiovascular disease [OR=0.272 (0.114-0.646)] were all significantly associated with pCR (all P<0.05). The comorbidity indices Cumulative Illness Rating Scale-Geriatric (CIRS-G) ≥2 [OR=0.360 (0.154-0.840)], CIRS-G ≥3 [OR=0.404 (0.179-0.912)], CIRS-G ≥4 [OR=0.293 (0.105-0.817)] and Adult Comorbidity Evaluation-27 (ACE-27) ≥2 [OR=0.427 (0.192-0.950)] were all significantly associated with pCR (all P<0.05). Cardiovascular disease was the only independent risk factor for pCR [adjusted OR=0.272 (0.114-0.646); P=0.003] according to multivariate logistic analysis. In conclusion, cardiovascular comorbidities and the CIRS-G and ACE-27 indices were associated with the effectiveness of NCIO and clinicopathological factors. These results could help to screen for the most suitable NSCLC patients for NCIO.

Extended segmentectomy for intersegmental lesions with intraoperative surgical margin assessment by radiofrequency identification markers

Objective

We developed a technique to determine deep surgical margins using radiofrequency identification markers. This study assessed the feasibility of this technique during extended segmentectomy of intersegmental lesions.

Methods

A single-center, prospective, single-arm study was performed from 2020 to 2023. Small pulmonary lesions suspicious for malignancy locating the virtual intersegmental plane based on 3-dimensional imagery were included. Markers were placed in the vicinity of the lesions using electromagnetic navigation bronchoscopy. In addition to indocyanine green injection, surgeons used wireless signal strength to determine the best resection line without lung palpation to obtain surgical margins of 10 mm or the same size as the tumor.

Results

We analyzed 75 lesions in 75 patients. Median lesion size and depth from the pleura were 12.0 mm and 23.6 mm, respectively. Three-dimensional imagery identified lesions at a median distance of 7.0 mm from the virtual intersegmental plane. The median marker-lesion and marker-virtual intersegmental plane distances were 5.8 mm and 4.9 mm, respectively. Complex segmentectomy was performed in 64 of 75 patients (85.3%). The indocyanine green and preoperative simulated intersegmental lines agreed in 92.0% (69/75). In 6 cases (8.0%), the resection line was determined using radiofrequency identification markers to obtain adequate margins because the indocyanine green undyed area was smaller than the preoperatively simulated one. In 1 patient, planned segmentectomy was converted to lobectomy because of a misplaced radiofrequency identification marker (1.3%). The successful tumor resection rate was 98.7%. The median surgical margin was 16.0 mm.

Conclusions

Use of radiofrequency identification markers enabled precise extended segmentectomy with adequate surgical margins.

Electromagnetic navigation bronchoscopy-guided radiofrequency identification marking in wedge resection for fluoroscopically invisible small lung lesions

OBJECTIVES

We developed a novel wireless localization technique after electromagnetic navigation bronchoscopy-guided radiofrequency identification marker placement for fluoroscopically invisible small lung lesions. We conducted an observational study to investigate the feasibility of this technique and retrospectively compared 2 marking approaches with or without cone-beam computed tomography (CBCT).

METHODS

Consecutive patients from January 2021 to March 2022 in our institution were enrolled. Markers were placed central to the lesions either in a bronchoscopic suite under intravenous anaesthesia or a hybrid operation theatre with CBCT under general anaesthesia. The efficacy of the 2 marking methods was compared using an inverse probability of treatment weighting adjusted analysis.

RESULTS

Totally 80 markers were placed (45 under CBCT and 35 under fluoroscopy) for 74 patients with 80 lesions [mean size: 6.9 mm (interquartile range: 5.1-8.4) at a median depth from the pleura of 14.0 mm (interquartile range: 8.5-19.5)]. The median distance from marker to lesion was 9.1 mm, with a pleural depth of 15.5 mm. The tumour resection rate was 97.5% (78/80) with the median surgical margin of 10.0 mm (interquartile range: 8.0-11.0). Although the bronchoscopy time was longer using CBCT because of the need for 2.8 scans per lesion, the distance from the marker to the lesion was shorter for marking using CBCT than marking using fluoroscopy (adjusted difference: -4.56, 95% confidence interval: -6.51 to -2.61, P < 0.001).

CONCLUSIONS

Electromagnetic navigation bronchoscopy-guided radiofrequency identification marking provided a high tumour resection rate with sufficient surgical margins.

Expert consensus on indocyanine green fluorescence imaging for thoracoscopic lung resection (The Version 2022)

The use of the white-light thoracoscopy is hampered by the low contrast between oncologic margins and surrounding normal parenchyma. As a result, many patients with in situ or micro-infiltrating adenocarcinoma have to undergo lobectomy due to a lack of tactile and visual feedback in the resection of solitary pulmonary nodules. Near-infrared (NIR) guided indocyanine green (ICG) fluorescence imaging technique has been widely investigated due to its unique capability in addressing the current challenges; however, there is no special consensus on the evidence and recommendations for its preoperative and intraoperative applications. This manuscript will describe the development process of a consensus on ICG fluorescence-guided thoracoscopic resection of pulmonary lesions and make recommendations that can be applied in a greater number of centers. Specifically, an expert panel of thoracic surgeons and radiographers was formed. Based on the quality of evidence and strength of recommendations, the consensus was developed in conjunction with the Chinese Guidelines on Video-assisted Thoracoscopy, and the National Comprehensive Cancer Network (NCCN) guidelines on the management of pulmonary lesions. Each of the statements was discussed and agreed upon with a unanimous consensus amongst the panel. A total of 6 consensus statements were developed. Fluorescence-guided thoracoscopy has unique advantages in the visualization of pulmonary nodules, and recognition and resection of the anterior plane of the pulmonary segment. The expert panel agrees that fluorescence-guided thoracoscopic surgery has the potential to become a routine operation for the treatment of pulmonary lesions.

Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography

BACKGROUND

High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar resection have an unfavorable prognosis compared with those treated with lobectomy. We investigated the potential of incorporating solid attenuation component masks with deep learning in the prediction of high-grade components to optimize surgical strategy preoperatively.

METHODS

A total of 502 patients with pathologically confirmed high-grade adenocarcinomas were retrospectively enrolled between 2016 and 2020. The SACs attention DL model was developed to apply solid-attenuation-component-like subregion masks (tumor area ≥ - 190 HU) to guide the DL model for predicting high-grade subtypes. The SACA-DL was assessed using 5-fold cross-validation and external validation in the training and testing sets, respectively. The performance, which was evaluated using the area under the curve (AUC), was compared between SACA-DL and the DL model without SACs attention (DL_woSACs), the prior radiomics model, or the model based on the consolidation/tumor (C/T) diameter ratio.

RESULTS

We classified 313 and 189 patients into training and testing cohorts, respectively. The SACA-DL achieved an AUC of 0.91 for the cross-validation, which was significantly superior to those of the DL_woSACs (AUC = 0.88; P = 0.02), prior radiomics model (AUC = 0.85; P = 0.004), and C/T ratio (AUC = 0.84; P = 0.002). An AUC of 0.93 was achieved for external validation in the SACA-DL and was significantly better than those of the DL_woSACs (AUC = 0.89; P = 0.04), prior radiomics model (AUC = 0.85; P < 0.001), and C/T ratio (AUC = 0.85; P < 0.001).

CONCLUSIONS

The combination of solid-attenuation-component-like subregion masks with the DL model is a promising approach for the preoperative prediction of high-grade adenocarcinoma subtypes.

Thoracoscopic Lobectomy Versus Sublobar Resection for pStage I Geriatric Non-Small Cell Lung Cancer

Objectives

The choice of resection method for geriatric patients with early-stage non-small cell lung cancer (NSCLC) remains contentious. This study aimed to evaluate survival and perioperative outcomes after thoracoscopic lobectomy resection (LR) or sublobar resection (SR) in patients aged ≥75 years with pathologic stage (pStage) I NSCLC.

Materials and Methods

We retrospectively examined 258 consecutive patients aged ≥75 years with pStage I NSCLC who underwent thoracoscopic tumor resection at our institute from 2011 to 2018. Propensity score matching (PSM) analysis identified 60 patients in each group for comparison of survival-related parameters, including disease-free survival (DFS), lung cancer-specific overall survival (OS), and non-lung cancer-specific OS, using the Kaplan-Meier analysis.

Results

LR and SR were performed in 84 (32.6%) and 174 (67.4%) patients aged ≥75 years, respectively. The LR group had younger patients, better performance status, larger tumor sizes, and deeper tumor location than the SR group. Multivariate studies showed that the resection method was not a prognostic factor for OS. The two PSM-matched groups were not significantly different with respect to lung cancer-specific OS (p = 0.116), non-lung cancer-specific OS (p = 0.408), and DFS (p = 0.597). SR helped achieve better perioperative outcomes than LR, including fewer postoperative complications (10.0% vs. 28.3%, p = 0.011), shorter operative times (p < 0.001), decreased blood loss (p = 0.026), and shorter chest tube duration (p = 0.010) and hospital stays (p = 0.035).

Conclusions

Thoracoscopic SR may provide similar oncological outcomes to LR, but may be a safer and more feasible surgical method for geriatric patients with pStage I NSCLC.

Identifying Lung Cancer Patients Suitable for Segmentectomy: A Brief Review

Background: In 1995, a clinical randomized controlled study (RCT) conducted by the Lung Cancer Study Group (LCSG) pointed out that the lobectomy was the gold standard for treating early lung cancer. However, with the development of technology, the results of several retrospective studies have shown that the efficacy of pulmonary segmentectomy is equivalent to that of lobectomy. Currently, it is still controversial whether segmental resection or lobectomy should be performed for early lung cancer. Thus, we aim to summarize the indications of segmentectomy.

Methods: To conduct the review, previous researches involving indications of segmentectomy were collected from the literature using Pubmed. These articles were published and accepted in English in the medical literature from 2013 to 2020. We have focused on segmentectomy and its indications.

Results: A total of 176 articles were retrieved from the Pubmed database, of which 31 articles included indications for segmentectomy. We summarized the relevant content, and the potential and prospect of segmentectomy for the treatment of lung cancer were emphasized.

Conclusions: These findings have a number of important implications for future practice. Pulmonary segmentectomy is a very vital surgical procedure for select patients with lung cancer, which provides a novel approach for the treatment of lung cancer and the survival of lung cancer patients.

Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes

OBJECTIVES

Near-pure lung adenocarcinoma (ADC) subtypes demonstrate strong stratification of radiomic values, providing basic information for pathological subtyping. We sought to predict the presence of high-grade (micropapillary and solid) components in lung ADCs using quantitative image analysis with near-pure radiomic values.

METHODS

Overall, 103 patients with lung ADCs of various histological subtypes were enrolled for 10-repetition, 3-fold cross-validation (cohort 1); 55 were enrolled for testing (cohort 2). Histogram and textural features on computed tomography (CT) images were assessed based on the "near-pure" pathological subtype data. Patch-wise high-grade likelihood prediction was performed for each voxel within the tumour region. The presence of high-grade components was then determined based on a volume percentage threshold of the high-grade likelihood area. To compare with quantitative approaches, consolidation/tumour (C/T) ratio was evaluated on CT images; we applied radiological invasiveness (C/T ratio > 0.5) for the prediction.

RESULTS

In cohort 1, patch-wise prediction, combined model (C/T ratio and patch-wise prediction), whole-lesion-based prediction (using only the "near-pure"-based prediction model), and radiological invasiveness achieved a sensitivity and specificity of 88.00 ± 2.33% and 75.75 ± 2.82%, 90.00 ± 0.00%, and 77.12 ± 2.67%, 66.67% and 90.41%, and 90.00% and 45.21%, respectively. The sensitivity and specificity, respectively, for cohort 2 were 100.0% and 95.35% using patch-wise prediction, 100.0% and 95.35% using combined model, 75.00% and 95.35% using whole-lesion-based prediction, and 100.0% and 69.77% using radiological invasiveness.

CONCLUSION

Using near-pure radiomic features and patch-wise image analysis demonstrated high levels of sensitivity and moderate levels of specificity for high-grade ADC subtype-detecting.

KEY POINTS

• The radiomic values extracted from lung adenocarcinoma with "near-pure" histological subtypes provide useful information for high-grade (micropapillary and solid) components detection. • Using near-pure radiomic features and patch-wise image analysis, high-grade components of lung adenocarcinoma can be predicted with high sensitivity and moderate specificity. • Using near-pure radiomic features and patch-wise image analysis has potential role in facilitating the prediction of the presence of high-grade components in lung adenocarcinoma prior to surgical resection.

PEEP guided by electrical impedance tomography during one-lung ventilation in elderly patients undergoing thoracoscopic surgery

Background

To examine the influence of positive end-expiratory pressure (PEEP) settings on lung mechanics and oxygenation in elderly patients undergoing thoracoscopic surgery.

Methods

One hundred patients aged >65 years were randomly allocated into either the PEEP₅ or the electrical impedance tomography (EIT) group (PEEP_EIT). Each group underwent volume-controlled ventilation (tidal volume 6 mL/kg predicted body weight) with the PEEP either fixed at 5 cmH₂O or set at an individualized EIT setting. The primary endpoint was the ratio of the arterial oxygen partial pressure to the fractional inspired oxygen (PaO₂/FiO₂). The secondary endpoints included the driving pressure, and dynamic respiratory system compliance (C_dyn). Other outcomes, such as the mean airway pressure (P_mean), mean arterial pressure (MAP), lung complications and the length of hospital stay were explored.

Results

The optimal PEEP set by EIT was significantly higher (range from 9-13 cmH₂O) than the fixed PEEP. PaO₂/FiO₂ was 47 mmHg higher (95% CI: 7-86 mmHg; P=0.021), C_dyn was 4.3 mL/cmH₂O higher (95% CI: 2.1-6.7 cmH₂O; P<0.001), and the driving pressure was 3.7 cmH₂O lower (95% CI: 2.2-5.1 mmH₂O; P<0.001) at 0.5 h during one-lung ventilation (OLV) in the PEEP_EIT group than in the PEEP₅ group. At 1 h during OLV, PaO₂/FiO₂ was 93 mmHg higher (95% CI: 58-128 mmHg; P<0.001), C_dyn was 4.4 mL/cmH₂O higher (95% CI: 1.9-6.9 mL/cmH₂O; P=0.001), and the driving pressure was 4.9 cmH₂O lower (95% CI: 3.8-6.1 cmH₂O; P<0.001) in the PEEP_EIT group than in the PEEP₅ group. PaO₂/FiO₂ was 107 mmHg higher (95% CI: 56-158 mmHg; P<0.001) in the PEEP_EIT group than in the PEEP₅ group during double-lung ventilation at the end of surgery.

Conclusions

PEEP values determined with EIT effectively improved oxygenation and lung mechanics during one lung ventilation in elderly patients undergoing thoracoscopic surgery.