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Background: Lung cancer remains the leading cause of cancer deaths in the United States despite declining incidence and improved outcomes because of advancements in early detection and development of novel therapies. Accurate mediastinal lymph node staging is crucial for determining prognosis and guiding treatment decisions, particularly for non-small cell lung cancer (NSCLC). Materials and Methods: A systematic search of PubMed was conducted to identify English language articles published between January 2010 and January 2024 focusing on preoperative lymph node staging in adults with NSCLC. Case series, observational studies, randomized trials, guidelines, narrative reviews, systematic reviews, and meta-analyses were included. Results: Various imaging modalities, surgical and nonsurgical procedures for mediastinal lymph node staging were reviewed, including positron emission tomography with computed tomography, cervical mediastinoscopy, video-assisted cervical mediastinoscopy, anterior mediastinotomy, video-assisted thoracoscopy, endobronchial ultrasound-guided fine needle aspiration (EBUS-FNA), transesophageal endoscopic ultrasound-guided fine needle aspiration (EUS-FNA), and computed tomography-guided percutaneous lymph node biopsy. EBUS-FNA emerged as the preferred initial staging procedure because of its high sensitivity and low complication rate. Combining it with other procedures or confirmatory testing may be helpful in determining appropriate treatment. Conclusions: Although cervical mediastinoscopy remains a valuable confirmatory procedure in select cases, its role as a first-line staging modality is diminishing with the widespread adoption of EBUS-FNA and EUS-FNA. The combination of EBUS-FNA and EUS-FNA allows access to nearly all mediastinal lymph node stations with high diagnostic accuracy. Future research may further refine the selection criteria for invasive mediastinal staging procedures, ultimately optimizing patient outcomes in the management of NSCLC. [ABSTRACT FROM AUTHOR]

Background: Endobronchial ultrasound-guided transbronchial fine-needle aspiration (EBUS-TBNA) has replaced mediastinoscopy as the preferred investigation for evaluating mediastinum in staging lung cancer. There is little evidence of mediastinal staging by EBUS-TBNA from India. Objectives: To study endobronchial ultrasound's diagnostic accuracy in staging lung cancer. Methodology: We retrospectively analysed patients operated on for lung cancer where EBUS was performed preoperatively for mediastinal staging. We compared the histological findings obtained from different mediastinal lymph nodes (LNs) by EBUS-TBNA with the pathology of the same LNs obtained after surgical dissection as the reference standard. Results: Seventy-six patients underwent curative surgery for lung cancer. The diagnostic accuracy, sensitivity, specificity, positive predictive value and negative predictive value of EBUS-TBNA in predicting mediastinal metastasis were 93.9%, 40%, 99%, 80% and 94.6%, respectively. Of the 115 LNs sampled, EBUS-TBNA was false negative in six nodes, resulting in an up-staging of six patients. Conclusions: EBUS-TBNA has a high diagnostic accuracy for lung cancer staging.

Nearly a third of patients with primary lung cancer present with malignant central airway obstruction (MCAO), and some of them appear to have advanced disease. In these patients, accurate staging is crucial. Although the literature extensively outlines the role of interventional bronchoscopy in palliation, its contribution to refining the staging of patients with MCAO is noteworthy. Here, we present a case of a patient initially diagnosed with stage IV cancer due to a left mainstem tumor causing complete lung collapse. He was referred to our institution for palliative treatment of his cough. Following interventional bronchoscopy, the patient's staging was revised to T1a, and subsequently, he underwent lobectomy without complications.

Purpose: Identifying the stage of lung cancer accurately from histopathology images and gene is very important for the diagnosis and treatment of lung cancer. Despite the substantial progress achieved by existing methods, it remains challenging due to large intra-class variances, and a high degree of inter-class similarities. Methods: In this paper, we propose a phased Multimodal Multi-scale Attention Model (MMAM) that predicts lung cancer stages using histopathology image data and gene data. The model consists of two phases. In Phase1, we propose a Staining Difference Elimination Network (SDEN) to eliminate staining differences between different histopathology images, In Phase2, it utilizes the image feature extractor provided by Phase1 to extract image features, and sends the multi-scale image features together with gene features into our Adaptive Enhanced Attention Fusion (AEAF) module for multimodal multi-scale features fusion to enable prediction of lung cancer staging. Results: We evaluated the proposed MMAM on the TCGA lung cancer dataset, and achieved 88.51% AUC and 88.17% accuracy on classification prediction of lung cancer stages I, II, III, and IV. Conclusion: The method can help doctors diagnose the stage of lung cancer patients and can benefit from multimodal data. [ABSTRACT FROM AUTHOR]

Lung cancer staging is crucial for personalized treatment and improved prognosis. We propose a novel bimodal diagnostic approach that integrates LIBS and Raman technologies into a single platform, enabling comprehensive tissue elemental and molecular analysis. This strategy identifies critical staging elements and molecular marker signatures of lung tumors. LIBS detects concentration patterns of elemental lines including Mg (I), Mg (II), Ca (I), Ca (II), Fe (I), and Cu (II). Concurrently, Raman spectroscopy identifies changes in molecular content, such as phenylalanine (1033 cm−1), tyrosine (1174 cm−1), tryptophan (1207 cm−1), amide III (1267 cm−1), and proteins (1126 cm−1 and 1447 cm−1), among others. The bimodal information is fused using a decision-level Bayesian fusion model, significantly enhancing the performance of the convolutional neural network architecture in classification algorithms, with an accuracy of 99.17 %, sensitivity of 99.17 %, and specificity of 99.88 %. This study provides a powerful new tool for the accurate staging and diagnosis of lung tumors. [Display omitted] • A bimodal LIBS-Raman lung cancer diagnostic platform was built. • The pattern of variation of tumor elements in stages 1–4 was analyzed. • The pattern of variation of tumor molecules in stages 1–4 was analyzed. • Bayesian fusion of atomic and molecular spectra at the decision level. • An algorithm based on convolutional network architecture was used. [ABSTRACT FROM AUTHOR]

Simple Summary: This article clarifies the context and definition of the term oligometastasis as it applies to non-small cell lung cancer and reviews the current results in the use of surgery for its management. Ideally after reading this article, practitioners will be better equipped to pick patients for locally aggressive therapy, and researchers will be primed to design the next generation of studies that prioritize treatments in the management of this historically deadly disease. Oligometastatic non-small cell lung cancer (NSCLC) is metastatic disease that refers to a limited number of metastatic sites. It is analogous to an intermediate stage of NSCLC, between localized and widely metastatic disease, even though no staging criteria establishes this distinction. Oligometastatic NSCLC describes a patient subgroup with limited metastasis to one or a few organs. These patients seem to have a more indolent cancer than those with diffuse metastasis. For these select patients with oligometastatic disease, the use of palliative systemic therapy over local aggressive treatment may be a missed opportunity to improve survival. The clear definition of this subgroup and identification of the best treatment remains the current challenge in the management of the disease. Surgery was the early cornerstone in the treatment of limited disease; however, as modalities such as chemotherapy, stereotactic radiosurgery, and immunotherapy have matured, the role of excision is less clearly defined. There are sparse randomized controlled trials comparing the efficacy of different treatment modalities in patients with oligometastatic NSCLC. However, there is a growing body of retrospective research detailing the prognostic factors that characterize the role of surgery in the management of these patients. This article clarifies the context and definition of the term oligometastatic, as it applies to NSCLC, and reviews the current results in the use of surgery for its management. [ABSTRACT FROM AUTHOR]

Evaluation of lymph nodes during lung cancer resection is essential for pathologic staging and adjuvant treatment decisions. We developed a standardized approach for grossing resected lobes and segments to better assign the N1 category to hilar and peripheral lymph nodes. Lung specimens were dissected centrifugally from the bronchial stump, and all lymph nodes at the segmental and subsegmental bifurcations were removed. When combined with mediastinal lymph node dissection, this approach will likely maximize the number of lymph nodes analysed and improve the accuracy of pathologic N descriptor classification. [ABSTRACT FROM AUTHOR]

Background: The optimal diagnostic and staging strategy for patients with suspected lung cancer is not known.Research Question: What diagnostic and staging strategies are most cost-effective for lung cancer?Study Design and Methods: A decision model was developed by using a hypothetical patient with a high probability of lung cancer. Sixteen unique permutations of bronchoscopy with fluoroscopy, radial endobronchial ultrasound, electromagnetic navigation, convex endobronchial ultrasound with or without rapid-onsite evaluation (ROSE), CT-guided biopsy (CTBx), and surgery were evaluated. Outcomes included cost, complications, mortality, time to complete the evaluation, rate of undetected N2-3 disease at surgery, incremental cost-complication ratio, and willingness-to-pay thresholds. Sensitivity analyses were performed on primary outcomes.Results: For a peripheral lung lesion and radiographic N0 disease, the best bronchoscopy strategy costs $1,694 more than the best CTBx strategy but resulted in fewer complications (risk difference, 14%). The additional cost of bronchoscopy to avoid one complication from a CTBx strategy was $12,037. The cost and cumulative complications of bronchoscopy strategies increased compared with CTBx strategies for small lesions. The cost and cumulative complications of bronchoscopy strategies decreased compared with CTBx strategies when a bronchus sign was present, but bronchoscopy remained more costly overall. For a central lesion and/or radiographic N1-3 disease, convex endobronchial ultrasound with ROSE followed by lung biopsy with incremental cost-effectiveness ratio, if required, was more cost-effective than any CTBx strategy across all outcomes. Strategies with ROSE were always more cost-effective than those without, irrespective of scenario. Trade-offs also exist between different bronchoscopy strategies, and optimal choices depend on the value placed on individual outcomes and willingness-to-pay.Interpretation: The most cost-effective strategies depend on nodal stage, lesion location, type of peripheral bronchoscopic biopsy, and the use of ROSE. For most clinical scenarios, many strategies can be eliminated, and trade-offs between the remaining competitive strategies can be quantified. [ABSTRACT FROM AUTHOR]

Background: Lung cancer remains the leading cause of cancer death in the United States. There is an association between certain social determinants of health (SDOH) and adverse cancer outcomes. These include Black race and low-income, which are associated with poorer adherence to lung cancer screening and presentation at a later stage of disease., Methods: We conducted a retrospective review of all patients with a diagnosis of lung cancer at a single urban, academic center from 2015 to 2021. Demographic data including race and clinical data including time taken to progress through various checkpoints (ie, concerning CT scan to diagnosis, diagnosis to treatment) were collected. Income data was approximated based on population medians at patient's home address zip code., Results: A total of 550 patients were included in the final analysis. The study population was 57.4% Black and 61.2% of patients presenting with a household income of $40,000 US Dollars or lower based on approximated median household income. The time from CT scan to first treatment for the entire cohort was 121.3 days with no statistically significant variance by race. However, among patients presenting at stage IV, 72.7% were black and 76.0% resided in a zip code with a median income < $40,000., Conclusions: This study demonstrated no significant delays in progressing through checkpoints of lung cancer diagnosis and treatment on the basis of race or income approximation. Black patients and patients in low-income households were diagnosed with lung cancer at a more advanced stage. Efforts to close the gap in lung cancer disparities should be focused on targeting screening and early identification toward social groups that may be at highest risk of late presentation. Institutional focus on patient navigation through these stages should be paramount., Tweetable Abstract: There were no delays in progression to lung cancer diagnostic and therapeutic milestones based on race or income approximation. Black race and residing in a low-income area are predictors for presenting at stage IV., Competing Interests: Disclosure None of the authors have conflicts of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Endoscopic ultrasound routinely guides lymph node evaluation for the staging of a known or suspected lung cancer. Characteristics seen on B-mode imaging might help the observer decide on the lymph nodes of risk. The influence of nodal size on the predictivity of these characteristics and the agreement with which operators can combine these for malignancy risk prediction is to be determined. Objectives: We evaluated (1) if prospectively scored individual B-mode ultrasound features predict malignancy when further divided by size and (2) assessed if observers were able to reproducibly agree on still lymph node image malignancy risk. Methods: Lymph nodes as visualized by EBUS were prospectively scored for B-mode characteristics. Still B-mode images were furthermore collected. After collection, a repeated scoring of a subset of lymph nodes was retrospectively performed (n = 11 observers). Results: Analysis of 490 lymph nodes revealed the short axis size is an objective measure for stratifying risk of malignancy (ROC area under the curve 0.78). With ≥8-mm size, 210/237 malignant lymph nodes were correctly identified (89% sensitivity, 46% specificity, 61% PPV, and 81% NPV). Secondary addition of B-mode features in <8-mm nodes had limited value. Retrospective analysis of intra- and interobserver scoring furthermore revealed significant disagreement. Conclusions: Lymph nodes of ≥8-mm size and preferably even smaller should be aspirated regardless of other B-mode features. Observer disagreement in scoring both small and large lymph nodes suggests it is infeasible to include subjective features for stratification. Future research should focus on (integrating) other (semi)quantitative values for improving prediction. [ABSTRACT FROM AUTHOR]

Background: Two models, the Help with the Assessment of Adenopathy in Lung cancer (HAL) and Help with Oncologic Mediastinal Evaluation for Radiation (HOMER), were recently developed to estimate the probability of nodal disease in patients with non-small cell lung cancer (NSCLC) as determined by endobronchial ultrasound-transbronchial needle aspiration (EBUS-TBNA). The objective of this study was to prospectively externally validate both models at multiple centers.Research Question: Are the HAL and HOMER models valid across multiple centers?Study Design and Methods: This multicenter prospective observational cohort study enrolled consecutive patients with PET-CT clinical-radiographic stages T1-3, N0-3, M0 NSCLC undergoing EBUS-TBNA staging. HOMER was used to predict the probability of N0 vs N1 vs N2 or N3 (N2|3) disease, and HAL was used to predict the probability of N2|3 (vs N0 or N1) disease. Model discrimination was assessed using the area under the receiver operating characteristics curve (ROC-AUC), and calibration was assessed using the Brier score, calibration plots, and the Hosmer-Lemeshow test.Results: Thirteen centers enrolled 1,799 patients. HAL and HOMER demonstrated good discrimination: HAL ROC-AUC = 0.873 (95%CI, 0.856-0.891) and HOMER ROC-AUC = 0.837 (95%CI, 0.814-0.859) for predicting N1 disease or higher (N1|2|3) and 0.876 (95%CI, 0.855-0.897) for predicting N2|3 disease. Brier scores were 0.117 and 0.349, respectively. Calibration plots demonstrated good calibration for both models. For HAL, the difference between forecast and observed probability of N2|3 disease was +0.012; for HOMER, the difference for N1|2|3 was -0.018 and for N2|3 was +0.002. The Hosmer-Lemeshow test was significant for both models (P = .034 and .002), indicating a small but statistically significant calibration error.Interpretation: HAL and HOMER demonstrated good discrimination and calibration in multiple centers. Although calibration error was present, the magnitude of the error is small, such that the models are informative. [ABSTRACT FROM AUTHOR]

• Lungtumors positioned adjacent to the central airways can be visualized by EBUS. • EBUS imaging can assess the presence or absence of mediastinal/vascular tumor invasion. • EBUS provides important additional staging information complementary to CT findings. • T4 assessment by EBUS cab be considered following an nodal examination. In lung cancer patients, accurate assessment of mediastinal and vascular tumor invasion (stage T4) is crucial for optimal treatment allocation and to prevent unnecessary thoracotomies. We assessed the diagnostic accuracy of linear endobronchial ultrasound (EBUS) for T4-status in patients with centrally located lung cancer. This is a retrospective study among consecutive patients who underwent EBUS for diagnosis and staging of lung cancer in four hospitals in The Netherlands (Amsterdam, Leiden), Italy (Bologna) and Poland (Zakopane) between 04–2012 and 04−2019. Patients were included if the primary tumor was detected by EBUS and subsequent surgical-pathological staging was performed, which served as the reference standard. T4-status was extracted from EBUS and pathology reports. Chest CT's were re-reviewed for T4-status. 104 patients with lung cancer in whom EBUS detected the primary tumour, and who underwent subsequent surgical-pathological staging were included. 36 patients (35 %) had T4-status, based on vascular (n = 17), mediastinal (n = 15), both vascular and mediastinal (n = 3), or oesophageal invasion (n = 1). For EBUS, sensitivity, specificity, PPV and NPV for T4-status were (n = 104): 63.9 % (95 %CI 46.2–79.2 %), 92.6 % (83.7–97.6 %), 82.1 % (65.6–91.7 %), and 82.9 % (75.7–88.2 %), respectively. For chest CT (n = 72): 61.5 % (95 %CI 40.6–79.8 %), 37.0 % (23.2–52.5 %), 35.6 % (27.5–44.6 %), and 63.0 % (47.9–75.9 %), respectively. When combining CT and EBUS with concordant T4 status (n = 33): 90.9 % (95 %CI 58.7–99.8 %), 77.3 % (54.6–92.20 %), 66.7 % (47.5–81.6 %), and 94.4 % (721−99.1%), respectively. Both EBUS and CT alone are inaccurate for assessing T4-status as standalone test. However, combining a negative EBUS with a negative CT may rule out T4-status with high certainty. [ABSTRACT FROM AUTHOR]

Rationale and Objectives: Examine the accuracy of clinical non-small cell lung cancer staging and tumor length measurements, which are critical to prognosis and treatment planning.Materials and Methods: Compare clinical and pathological staging and lengths using 10,320 2016 National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) and 559 2010-2018 non-SEER single-institute surgically-treated cases, and analyze modifiable causes of disagreement.Results: The SEER clinical and pathological group-stages agree only 62.3% ± 0.9% over all stage categories. The lymph node N-stage agrees much better at 83.0% ± 1.0%, but the tumor length-location T-stage agrees only 57.7% ± 0.8% with approximately 29% of the cases having a greater pathology than clinical T-stage. Individual T-stage category agreements with respect to the number of pathology cases are Tis, T1a, T1b, T2a, T2b, T3, T4: 89.9% ± 10.0%; 78.7% ± 1.7%; 51.8% ± 1.9%; 46.1% ± 1.3%; 40.5% ± 3.1%; 44.1% ± 2.2%; 56.4% ± 4.7%, respectively. Most of the single-institute results statistically agree with SEER's. Excluding Tis cases, the mean difference in SEER tumor length is ∼1.18 ± 9.26 mm (confidence interval: 0.97-1.39 mm) with pathological lengths being longer than clinical lengths except for small tumors; the two measurements correlate well (Pearson-r >0.87, confidence interval: 0.86-0.87). Reasons for disagreement include the use of family-category descriptors (e.g., T1) instead of their subcategories (e.g., T1a and T1b), which worsens the T-stage agreement by over 15%. Disagreement is also associated with higher tumor grade, larger resected specimens, higher N-stage, patient age, and periodic biases in clinical and pathological tumor size measurements.Conclusions: By including preliminary non-small cell lung cancer clinical stage values in their evaluation, diagnostic radiologists can improve the accuracy of staging and standardize tumor-size measurements, which improves patient care. [ABSTRACT FROM AUTHOR]

Introduction The aim of this study was to assess the prognoses of patients with non‐small cell lung cancer (NSCLC) according to the current nodal (N) categories of the tumor, node and metastasis (TNM) classification and the number of involved lymph node stations. Methods Five hundred and seventy patients with NSCLC underwent surgery from 1 January 2005 to 31 December 2009 and were analysed retrospectively. Postoperative overall survival was analysed according to two nodal classifications: the current N0, N1, N2 and N3 categories and those based on the number of involved nodal stations: N0, N1a (single N1), N1b (multiple N1), N2a1 (single N2 without N1), N2a2 (single N2 with N1), N2b1 (multiple N2 without N1) and N2b2 (multiple N2 with N1). Results Five‐year survival rates were 76.1%, 53.4% and 26.3% for N0, N1 and N2, respectively (P < 0.001). When survival was analysed by the number of involved nodal stations, the groups with significant differences were maintained; otherwise, they were merged, and new codes were assigned as follows for exploratory analyses: NA (N0), NB (N1a), NC (N1b, N2a (i.e., N2a1 and N2a2) and N2b1) and ND (N2b2). Five‐year survival rates were 76.1%, 60.0%, 39.1%, and 11.4% for NA, NB, NC and ND, respectively, and there were significant differences among them. This N classification was an independent prognostic factor in multivariate analyses. Conclusion Pending prospective and international validation, it is practical to merge the current N categories with the number of involved lymph node stations when evaluating the postoperative prognosis of NSCLC patients.

Introduction: Lymph node sampling by endobronchial ultrasound‐guided transbronchial needle aspiration (EBUS‐TBNA) is the state of art procedure for staging the mediastinum and hilar regions in lung cancer patients. Our experience of implementing the real‐time cytopathology intervention (RTCI) process for intraoperative EBUS‐TBNAs is presented. This study is aimed to describe in detail the RTCI process for EBUS‐TBNAs, and assess its utility and diagnostic yield before and after its implementation in parallel to conventional rapid on‐site evaluation (c‐ROSE). Methods: A retrospective review of all EBUS‐TBNAs between July 2016 and July 2017 at the University of Rochester Medical Center was performed. Final diagnoses, patient clinical data, and number of non‐diagnostic samples (NDS) were reviewed. The numbers of NDS obtained from EBUS‐TBNAs with no cytology assistance (NCA), with RTCI and with c‐ROSE were analysed. Results: Non‐diagnostic lymph node samples were found in 20 out of 116 (17%), three out of 114 (2.6%) and 33 out of 286 (11.5%) cases with NCA, RTCI and c‐ROSE, respectively. Application of statistical analysis revealed significant difference in the NDS between the groups of cases in the operating room with NCA and RTCI (P =.005). The different settings and variables between the cases performed using RTCI in the operating room and those assisted with c‐ROSE in the bronchoscopy suite preclude legitimate comparison. Conclusion: Our results indicate that the use of RTCI could yield a significantly low proportion of NDS when assisting EBUS‐TBNA of mediastinal and hilar lymph node for lung cancer patients enhancing the diagnostic efficiency of the procedure. When cytology assistance for endobronchial ultrasound‐guided transbronchial needle aspiration (EBUS‐TBNA) procedures is performed as an interactive dynamic systematic process between cytopathologists and performing physicians, it can optimise the efficiency of EBUS‐TBNA for mediastinal lymph node sampling, particularly in institutions with lower volumes of EBUS‐TBNAs and incidences of lung cancer. Real‐time cytopathology intervention is centred on actions and interactions between the cytopathologist and the physician performing the procedure, using microscopic findings as the dynamic tool to guide and adjust the EBUS‐TBNA procedure for optimal pathology assessment. The assistance of EBUS‐TBNA with the real‐time cytopathology intervention process could potentially impact on diagnostic accuracy, use of institutional resources, and procurement of adequate material for ancillary and molecular tests. [ABSTRACT FROM AUTHOR]

Background: Systematic endobronchial ultrasound (EBUS)-guided lung cancer staging starts with hilar N3 nodes, proceeding sequentially to mediastinal N3, N2, and N1 nodes, with sampling of all enlarged nodes (size, ≥ 5 mm) by EBUS. However, procedure time is limited by patient comfort when moderate sedation is used. It is unclear if EBUS staging should start with hilar N3 nodes or whether starting with mediastinal N3 nodes suffices. Knowing the probability of hilar N3 nodes with PET-CT scan negative findings harboring occult metastasis can inform this decision.Research Question: What proportion of patients with hilar N3 nodes showing negative PET-CT scan findings have malignancy by EBUS?Study Design and Methods: This retrospective observational, single-center cohort study included consecutive patients with clinical-radiographic T1-3, N0-3, M0 non-small cell lung cancer undergoing systematic EBUS staging with biopsy of hilar N3 nodes with negative PET-CT scan findings. The primary outcome was the proportion of patients with malignant hilar N3 nodes showing negative PET-CT scan findings. Based on expert opinion, a threshold probability of malignancy of less than 5% was considered sufficient to skip hilar N3 nodes. We used the binomial exact test to compare the observed proportion vs threshold probability of 5%.Results: Of 1,737 consecutive patients undergoing EBUS staging, 1,567 showed negative PET-CT scan findings of the hilar N3 nodes. These nodes were enlarged by EBUS and were sampled in 739 patients. Malignancy was found in the hilar N3 nodes of 5 of 739 patients (0.68%; 95% CI, 0.22%-1.57%). The proportion was significantly less than the threshold probability (P < .001). Patients with positive PET scan results of the mediastinal N3 nodes were at higher risk of having occult hilar N3 nodal metastasis (P = .003), found in 3 of 46 patients (6.5%; 95% CI, 1.4%-17.9%) with positive PET scan results of the mediastinal N3 nodes.Interpretation: When using moderate sedation, because time is limited, it is reasonable to start with the mediastinal N3 nodes if the hilar and mediastinal N3 nodes show negative PET scan results. Patients with positive PET scan findings of the mediastinal N3 nodes probably should undergo hilar N3 node sampling. [ABSTRACT FROM AUTHOR]

The staging of the central-chest lymph nodes is a major step in the management of lung-cancer patients. For this purpose, the physician uses a device that integrates videobronchoscopy and an endobronchial ultrasound (EBUS) probe. To biopsy a lymph node, the physician first uses videobronchoscopy to navigate through the airways and then invokes EBUS to localize and biopsy the node. Unfortunately, this process proves difficult for many physicians, with the choice of biopsy site found by trial and error. We present a complete image-guided EBUS bronchoscopy system tailored to lymph-node staging. The system accepts a patient’s 3D chest CT scan, an optional PET scan, and the EBUS bronchoscope’s video sources as inputs. System workflow follows two phases: (1) procedure planning and (2) image-guided EBUS bronchoscopy. Procedure planning derives airway guidance routes that facilitate optimal EBUS scanning and nodal biopsy. During the live procedure, the system’s graphical display suggests a series of device maneuvers to perform and provides multimodal visual cues for locating suitable biopsy sites. To this end, the system exploits data fusion to drive a multimodal virtual bronchoscope and other visualization tools that lead the physician through the process of device navigation and localization. A retrospective lung-cancer patient study and follow-on prospective patient study, performed within the standard clinical workflow, demonstrate the system’s feasibility and functionality. For the prospective study, 60/60 selected lymph nodes (100%) were correctly localized using the system, and 30/33 biopsied nodes (91%) gave adequate tissue samples. Also, the mean procedure time including all user interactions was 6 min 43 s All of these measures improve upon benchmarks reported for other state-of-the-art systems and current practice. Overall, the system enabled safe, efficient EBUS-based localization and biopsy of lymph nodes.

Introduction: An international database was created by the International Association for the Study of Lung Cancer to inform on the ninth edition of the TNM classification of lung cancer. The present analyses concern its T component., Methods: Data on 124,581 patients diagnosed with lung cancer from January 1, 2011 to December 31, 2019 were submitted to the International Association for the Study of Lung Cancer database. Of these, 33,982 met the inclusion criteria for the clinical T analysis, and 30,715 met the inclusion criteria for the pathologic postsurgical analysis. Survival was measured from the date of diagnosis or operation for clinically and pathologically staged tumors, respectively. T descriptors were evaluated in univariate analysis and multivariable Cox regression analysis adjusted for age, sex, pathologic type, and geographic region., Results: Comprehensive survival analysis revealed that the existing eighth edition T component criteria performed adequately in the ninth edition data set. Although pathologic chest wall or parietal pleura involvement (PL 3) yielded a worse survival compared with the other T3 descriptors, with a similar survival as T4 tumors, this difference was not observed for clinical chest wall or PL 3 tumors. Because of these inconsistent findings, no reallocation of chest wall or PL 3 tumors is advised., Conclusions: The T subcommittee members proposed not to implement any changes and keep the current eighth-edition T descriptors for the ninth edition., (Copyright © 2023 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)

Introduction: The accurate assessment of nodal (N) status is crucial to the management and prognostication of nonmetastatic NSCLC. We sought to determine whether the current N descriptors should be maintained or revised for the upcoming ninth edition of the international TNM lung cancer staging system., Methods: Data were assembled by the International Association for the Study of Lung Cancer on patients with NSCLC, detailing both clinical and pathologic N status, with information about anatomical location and individual station-level identification. Survival was calculated by the Kaplan-Meier method and prognostic groups were assessed by a Cox regression analysis., Results: Data for clinical N and pathologic N status were available in 45,032 and 35,009 patients, respectively. The current N0 to N3 descriptors for both clinical N and pathologic N categories reflect prognostically distinct groups. Furthermore, single-station N2 involvement (N2a) exhibited a better prognosis than multistation N2 involvement (N2b) in both clinical and pathologic classifications, and the differences between all neighboring nodal subcategories were highly significant. The prognostic differences between N2a and N2b were robust and consistent across resection status, histologic type, T category, and geographic region., Conclusions: The current N descriptors should be maintained, with the addition of new subdescriptors to N2 for single-station involvement (N2a) and multiple-station involvement (N2b)., (Copyright © 2023 International Association for the Study of Lung Cancer. All rights reserved.)

Objective: The aim of this study was to elucidate the impact of pleural lavage cytology positivity on early recurrence in patients operated on non-small cell lung cancer (NSCLC)., Methods: This is a multicentre prospective cohort study of 684 patients undergoing an anatomical lung resection for NSCLC between October 2015 and October 2017 at 12 national centres. A pleural lavage was performed before and after lung resection. The association between the different predictors of early recurrence and PLC positivity was performed using univariate and multivariate logistic regression models. A propensity score analysis was performed by inverse probability weighting (IPSW) using average treatment effect (ATE) estimation to analyse the impact of PLC positivity on early recurrence., Results: Overall PLC positivity was observed in 15 patients (2.2%). After two years, 193 patients (28.2%) relapsed, 182 (27.2%) with a negative PLC and 11 (73.3%) with a positive PLC (p<0.001). Factors associated to early recurrence were adenocarcinoma histology (OR=1.59, 95%CI 1.06-2.38, p=0.025), visceral pleural invasion (OR=1.59, 95%CI 1.04-2.4, p=0.03), lymph node involvement (OR=1.84, 95%CI 1.14-2.96, p=0.013), advanced pathological stage (OR=2.12, 95%CI 1.27-3.54, p=0.004) and PLC positivity (OR=4.14, 95%CI 1.25-16.36, p=0.028). After IPSW, PLC positivity was associated with an increased risk of early recurrence (OR=3.46, 95%CI 2.25-5.36, p<0.001)., Conclusions: Positive pleural lavage cytology was found to be the strongest predictor of early recurrence., (Copyright © 2023 SEPAR. Published by Elsevier España, S.L.U. All rights reserved.)

INTRODUCTION[|]After a lung cancer diagnosis, determination of tumor invasion and involvement of mediastinal lymph nodes will indicate tumor stage and operability. The aim of this study was to compare and analyze the lymph node metastasis findings of positron emission tomography–computed tomography (PET/CT) using invasive staging methods and pathological staging in 240 lung cancer cases.[¤]METHODS[|]The PET/CT examination of 240 patients included in the study revealed true positivity in 60 patients, false positivity in 45, true negativity in 103, and false negativity in 4 patients. Univariate analysis indicated that the incidence of occult N2 disease was found to be statistically significantly higher in right upper lobe tumors (p=0.01).[¤]RESULTS[|]Of the 240 patients evaluated, mediastinal sampling was performed using endobronchial ultrasound (EBUS) in 160 patients, and mediastinoscopy in 80 patients.The high specificity rate of mediastinoscopy was found to be close to the accuracy of EBUS.[¤]DISCUSSION AND CONCLUSION[|]As a result of the high specificity and accuracy rates, EBUS and mediastinoscopy are among the predominant staging methods. However,we think that mediastinoscopy is still the gold standard method. Total mediastinal lymph node dissection can determine the accurate stage of the disease and aid in determining the prognosis and treatment protocol.[¤]

Objective: The current nodal staging for lung cancer is defined only by the anatomical site of metastasis. However, the International Association for the Study of Lung Cancer (IASLC) proposed further subdivisions of the N descriptor that considers the locations and numbers of involved lymph node stations. This study aimed to test the new IASLC categories and compare their prognostic abilities to those of our proposed model that considers only the number of involved lymph node stations instead of the sites of metastasis. Methods: Between September 2002 and December 2016, 1581 patients who underwent complete resection for pathologically diagnosed Tis-4N0-2M0 non-small cell lung cancer were retrospectively analyzed. We evaluated the survival rates according to the patients' N classification as recently proposed by the IASLC and by the number of involved lymph node stations, and determined the optimal N classification. Results: The 5-year survival rates for patients with IASLC stages N1a, N1b, N2a1, N2a2, and N2b were 71.5%, 49.9%, 73.7%, 62.1%, and 46.9%, respectively. These results showed relatively good categorizations; however, some prognostic overlaps existed and not all differences were significant. After redefining the number of involved stations as Nα for 1, Nβ for 2–3, and Nγ for ≥ 4 without considering the metastasis sites, the 5-year survival rates for patients in these categories were 72.1%, 58.3%, and 29.6%, respectively; the differences between them were significant. Conclusion: The number of involved lymph node stations is a more accurate prognostic indicator in patients with completely resected non-small cell lung cancer. [ABSTRACT FROM AUTHOR]

Multifocal non–small cell lung cancer has historically been separated into synchronous primary lung cancers or intrapulmonary metastases with the use of histopathology. We hypothesize that using targeted next-generation sequencing of key driver mutations in multifocal non–small cell lung cancer will improve our ability to differentiate intrapulmonary metastases from synchronous primary lung cancers. We identified patients who underwent surgery for non–small cell lung cancer between 2013 and 2018 with multifocal tumors. Archived specimens were reviewed with a 4-gene next-generation sequencing panel identifying mutations of EGFR, KRAS, BRAF, and NRAS. Synchronous primary lung cancers were classified as lesions with different histopathologic subtypes or driver mutations. Tests of hypotheses were performed with the Fisher exact test. Calculations were performed in Stata (v13.0; StataCorp LLC, College Station, Tex). A total of 18 patients had non–small cell lung cancer tumor specimens (n = 41) available from 2 or more sites. The pathologic diagnosis was predominantly adenocarcinoma (39/41 specimens). We detected a driver mutation in 68.3% (28/41) of all tumors. The most common mutations observed were in KRAS (n = 17/41) and EGFR (n = 7/41). Eleven patients had synchronous primary lung cancers, and 4 patients had intrapulmonary metastases based on combined histopathologic and molecular profiling results. Three lacked driver mutations in either lesion. Eight synchronous primary lung cancers (8/18, 44%) were downstaged when compared with their original diagnosis (P =.08). Of these, 4 patients received adjuvant chemotherapy unnecessarily in hindsight. Molecular non–small cell lung cancer profiling using a 4-gene next-generation sequencing panel allows for better distinction between synchronous primary lung cancers and intrapulmonary metastases than histopathology alone. Routine use of next-generation sequencing for multifocal lesions prevents unnecessary adjuvant treatment for patients with histologically similar synchronous primary lung cancers. [ABSTRACT FROM AUTHOR]

Background: Systematic assessment of lymph node status by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is indicated in (suspected) lung cancer. Sampling is herein guided by nodal size and FDG-PET characteristics. Ultrasound strain elastography (SE) might further improve risk stratification. By imaging tissue deformation over time, SE computes relative tissue strain. In several tissues, a lower strain (deformation) has been associated with a higher likelihood of malignancy. Objectives: To assess if EBUS-SE can independently help predict malignancy, and when combined with size and FDG uptake information. Methods: This multicenter (n = 5 centers) prospective trial included patients with suspected or proven lung cancer using a standardized measurement protocol. Cytopathology combined with surgery or follow-up imaging (>6 months) were used as reference standard. Results: Between June 2016 and July 2018, 327 patients and 525 lymph nodes were included (mean size 12.3 mm, malignancy prevalence 0.48). EBUS-SE had an overall AUC of 0.77. A mean strain <115 (range 0–255) showed 90% sensitivity, 43% specificity, 60% positive predictive value, and 82% negative predictive value. Combining EBUS-SE (<115) with size (<8 mm) and FDG-PET information into a risk stratification algorithm increased the accuracy. Combining size and SE showed that the 48% a priori chance of malignancy changed to 11 and 70% in double negative or positive nodes, respectively. In the subset where FDG-PET was available (n = 370), triple negative and positive nodes went from a 42% a priori chance of malignancy to 9 and 73%, respectively. Conclusions: EBUS-SE can help predict lymph node malignancy and may be useful for risk stratification when combined with size and PET information. [ABSTRACT FROM AUTHOR]

Rationale: When stereotactic ablative radiotherapy is an option for patients with non-small cell lung cancer (NSCLC), distinguishing between N0, N1, and N2 or N3 (N2j3) disease is important. Objectives: To develop a prediction model for estimating the probability of N0, N1, and N2j3 disease. Methods: Consecutive patients with clinical-radiographic stage T1 to T3, N0 to N3, and M0 NSCLC who underwent endobronchial ultrasound-guided staging from a single center were included. Multivariate ordinal logistic regression analysis was used to predict the presence of N0, N1, or N2j3 disease. Temporal validation used consecutive patients from 3 years later at the same center. External validation used three other hospitals. Measurements and Main Results: In the model development cohort (n = 633), younger age, central location, adenocarcinoma, and higher positron emission tomography-computed tomography nodal stage were associated with a higher probability of having advanced nodal disease. Areas under the receiver operating characteristic curve (AUCs)were 0.84 and 0.86 for predictingN1 or higher (vs. N0) disease and N2j3 (vs.N0 orN1) disease, respectively. Model fit was acceptable (Hosmer-Lemeshow, P = 0.960; Brier score, 0.36). In the temporal validation cohort (n = 473), AUCs were 0.86 and 0.88. Model fit was acceptable (Hosmer-Lemeshow, P = 0.172; Brier score, 0.30). In the external validation cohort (n = 722), AUCs were 0.86 and 0.88 but required calibration (Hosmer-Lemeshow, P,0.001; Brier score, 0.38). Calibration using the general calibrationmethod resulted in acceptable model fit (Hosmer-Lemeshow, P = 0.094; Brier score, 0.34). Conclusions: This prediction model can estimate the probability of N0, N1, and N2j3 disease in patients with NSCLC. The model has the potential to facilitate decision-making in patients with NSCLC when stereotactic ablative radiotherapy is an option. [ABSTRACT FROM AUTHOR]

• Inexperienced readers using structured templates produced high-quality reporting. • Structured reporting strategies boost residents' skills in CT lung cancer staging. • Thoracic oncologists endorsed structured reporting methods for lung cancer staging. To assess the clinical utility of chest computed tomography (CT) reports for non-small-cell lung cancer (NSCLC) staging generated by inexperienced readers using structured reporting (SR) templates from the Royal College of Radiologists (RCR-SR) and the Italian Society of Medical and Interventional Radiology (SIRM-SR), compared to traditional non-systematic reports (NSR). In a cohort of 30 NSCLC patients, six third-year radiology residents reported CT examinations in two 2-month-apart separate sessions using NSR in the first and NSR, RCR-SR, or SIRM-SR in the second. Couples of expert radiologists and thoracic oncologists in consensus evaluated completeness, accuracy, and clarity. All the quality indicators were expressed on a 100-point scale. The Wilcoxon signed ranks, and Wilcoxon-Mann Whitney tests were used for statistical analyses. Results showed significantly higher completeness for RCR-SR (90 %) and SIRM-SR (100 %) compared to NSR (70 %) in the second session (all p < 0.001). SIRM-SR demonstrated superior accuracy (70 % vs. 55 %, p < 0.001) over NSR, while RCR-SR and NSR accuracy did not significantly differ (60 % vs. 62.5 %, p = 0.06). In the second session, RCR-SR and SIRM-SR surpassed NSR in completeness, accuracy, and clarity (all p < 0.001, except p = 0.04 for accuracy between RCR-SR and NSR). SIRM-SR outperformed RCR-SR in completeness (100 % vs. 90 %, p < 0.001) and accuracy (70 % vs. 62.5 %, p = 0.002), with equivalent clarity (90 % for both, p = 0.27). Inexperienced readers using RCR-SR and SIRM-SR demonstrated high-quality reporting, indicating their potential in radiology residency programs to enhance reporting skills for NSCLC staging and effective interaction with all the physicians involved in managing NSCLC patients. [ABSTRACT FROM AUTHOR]

Nearly a third of patients with primary lung cancer present with malignant central airway obstruction (MCAO), and some of them appear to have advanced disease. In these patients, accurate staging is crucial. Although the literature extensively outlines the role of interventional bronchoscopy in palliation, its contribution to refining the staging of patients with MCAO is noteworthy. Here, we present a case of a patient initially diagnosed with stage IV cancer due to a left mainstem tumor causing complete lung collapse. He was referred to our institution for palliative treatment of his cough. Following interventional bronchoscopy, the patient's staging was revised to T1a, and subsequently, he underwent lobectomy without complications. [ABSTRACT FROM AUTHOR]

BackgroundRecently, the International Association for the Study of Lung Cancer (IASLC) has proposed significant modifications to the existing TNM and stage grouping classifications affecting the T4 and M descriptors. We set out to validate this staging system for bronchioloalveolar carcinoma (BAC) cases using data from the California Cancer Registry (CCR).MethodsWe identified 1909 patients from the CCR between 1999 and 2003 with histologically confirmed BAC and complete TNM staging and reclassified them according to the IASLC proposed staging revisions. There were 657 patients with stage IIIB and IV disease who formed the primary analysis of the changes to T4 and M descriptors. Surveillance Epidemiology and End Results (SEER) extent of disease codes (EOD) were used to identify various T4 and M descriptors. The primary outcome measured was overall survival (OS) for stage-specific comparisons of the existing to the proposed staging systems, using the Kaplan-Meier method. Multivariate survival analyses were performed using Cox proportional hazards ratios.ResultsUsing the proposed criteria, 162 (25%) of the 657 patients with advanced BAC were reclassified: 73 patients with multiple lesions in the same lobe as T3 (stage II T3N0M0 [n = 53], stage IIIA T3N1-2M0 [n = 18], stage IIIB T3N3M0 [n = 1] or T3NXM0 [n = 1]); 89 patients with ipsilateral intrapulmonary metastasis were reclassified as T4 (stage IIIA T4N0-N1M0 [n = 54], stage IIIB T4N2-3M0 [n = 23] or T4NXM0 [n = 12]). Univariate and multivariate survival analysis of this validation set revealed an improved fit for the proposed IASLC staging system compared with the existing staging system.ConclusionsThe proposed IASLC staging system modifications accurately reflect survival characteristics for BAC and represent an improvement compared with the existing staging system.

Background: The incidence of synchronous multiple primary lung cancer (SMPLC) is increasing, occurring in up to 20% of lung cancer patients. Accurately identifying SMPLC can be challenging, and failure to recognize SMPLC results in poor outcomes. We sought to assess the staging accuracy of patients with SMPLC at our tertiary institution., Methods: We retrospectively reviewed all patients who were evaluated for lung cancer resection between January 2018 to September 2019. Patients with SMPLC were identified using the modified Martini-Melamed criteria. Preoperative imaging, clinical assessment, and pathologic interpretation were reviewed and compared to the final staging assigned by a multidisciplinary lung cancer tumor board to determine accuracy., Results: Out of 227 patients presenting for lung cancer resection, 47 patients with 119 SMPLC were identified, of which 38 (80.9%) were incorrectly staged by at least one report. Incorrect staging was most common by computed tomography (CT) reports (n=33/47, 70.2%), followed by positron emission tomography-CT (PET-CT) reports (n=28/45, 62.2%), surgeons' clinical assessment (n=10/47, 21.3%), and histopathology reports (n=8/47, 17.0%). CT reports, when incorrect, under-staged 97.0% (n=32) of patients. PET-CT reports, when incorrect, over-staged 25.0% (n=7) of patients by reporting the second primary nodule to be "consistent with metastasis". Histopathology reports, when incorrect, over-staged 87.5% (n=7) of patients despite lack of lymph node involvement., Conclusions: Patients with SMPLC are at risk of receiving incorrect treatment based on radiographic and histopathologic staging reports alone. The observed staging inaccuracies are concerning, necessitating increased awareness among physicians caring for lung cancer patients., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1383/coif). The authors have no conflicts of interest to declare., (2024 Journal of Thoracic Disease. All rights reserved.)

Endobronchial ultrasound (EBUS) is a minimally invasive highly accurate and safe endoscopic technique for the evaluation of mediastinal lymphadenopathy and mediastinal masses including centrally located lung tumors. The combination of transbronchial and transoesophageal tissue sampling has improved lung cancer staging, reducing the need for more invasive and surgical diagnostic procedures. Despite the high level of evidence regarding EBUS use in the aforementioned situations, there are still challenges and controversial issues such as follows: Should informed consent for EBUS and flexible bronchoscopy be different? Is EBUS able to replace standard bronchoscopy in patients with suspected lung cancer? Which is the best position, screen orientation, route of intubation, and sedation/anesthesia to perform EBUS? Is it advisable to use a balloon in all procedures? How should the operator acquire skills and how should competence be ensured? This Pro-Con article aims to address these open questions., Competing Interests: Christoph F. Dietrich is the coeditor-in-chief of the journal; Michael Hocke, Lars Konge, and Christian Jenssen are editorial board members. This article was subject to the journal's standard procedures, with peer review handled independently of the editors and their research group., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc on behalf of Scholar Media Publishing.)

Open in new tab Download slide Open in new tab Download slide OBJECTIVES The International Association for the Study of Lung Cancer (IASLC) proposed further subdivisions of pathological N1 (pN1) and pN2 by including the location and the number of involved lymph node (LN) stations. We adopted the subdivided N descriptors and reclassified them according to the involved LN zones or LN stations, and compared the discrimination abilities of the 2 classifications. METHODS A retrospective analysis was carried out on patients who underwent complete resection with systematic LN dissection for non-small cell lung cancer diagnosed as pathological stages I–III between 2006 and 2015. N classification was grouped into 6 categories: no LN involvement, single-station N1, multiple-station N1, single-station N2 without N1, single-station N2 with N1 and multiple-station N2. LN zones were defined by grouping the LN stations: peripheral or hilar for N1 nodes, and upper mediastinal, lower mediastinal, aortopulmonary and subcarinal for N2 nodes. RESULTS A total of 3971 patients (2451 men, median age: 63 years) were analysed. Median follow-up was 59 months. A multivariable analysis showed that the subdivided N descriptors based on LN station and zone were both independent prognostic factors in terms of both overall survival and freedom from recurrence. Whether multiple LN involvements were confined within a single LN zone was a significant prognostic factor in the multiple-station N2 group. A zone-based classification showed similar discrimination ability to the station-based classification. CONCLUSIONS Both LN station- and zone-based classifications showed favourable prognostic discrimination abilities. The new N classifications could be considered for future revisions of tumour, node and metastasis (TNM) staging system for lung cancer. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this study was to assess the prognoses of patients with non‐small cell lung cancer (NSCLC) according to the current nodal (N) categories of the tumor, node and metastasis (TNM) classification and the number of involved lymph node stations. Methods: Five hundred and seventy patients with NSCLC underwent surgery from 1 January 2005 to 31 December 2009 and were analysed retrospectively. Postoperative overall survival was analysed according to two nodal classifications: the current N0, N1, N2 and N3 categories and those based on the number of involved nodal stations: N0, N1a (single N1), N1b (multiple N1), N2a1 (single N2 without N1), N2a2 (single N2 with N1), N2b1 (multiple N2 without N1) and N2b2 (multiple N2 with N1). Results: Five‐year survival rates were 76.1%, 53.4% and 26.3% for N0, N1 and N2, respectively (P < 0.001). When survival was analysed by the number of involved nodal stations, the groups with significant differences were maintained; otherwise, they were merged, and new codes were assigned as follows for exploratory analyses: NA (N0), NB (N1a), NC (N1b, N2a (i.e., N2a1 and N2a2) and N2b1) and ND (N2b2). Five‐year survival rates were 76.1%, 60.0%, 39.1%, and 11.4% for NA, NB, NC and ND, respectively, and there were significant differences among them. This N classification was an independent prognostic factor in multivariate analyses. Conclusion: Pending prospective and international validation, it is practical to merge the current N categories with the number of involved lymph node stations when evaluating the postoperative prognosis of NSCLC patients. [ABSTRACT FROM AUTHOR]

Lung cancer is the leading cause of cancer-related deaths in both men and women. The major risk factor for lung cancer is personal tobacco smoking, particularly for small-cell lung cancer (SCLC) and squamous cell lung cancers, but other significant risk factors include exposure to secondhand smoke, environmental radon, occupational exposures, and air pollution. Education and socioeconomic status affect both incidence and outcomes. Non-small-cell lung cancer (NSCLC), including adenocarcinoma, squamous cell carcinoma, and large cell carcinoma, comprises about 85% of lung cancers. SCLC accounts for approximately 13% to 15% of cases. Prognosis is directly related to stage at presentation. NSCLC is staged using the eighth edition of the tumor-node-metastasis (TNM) criteria of the American Joint Committee on Cancer. For SCLC the eighth edition of TNM staging is recommended to be used in conjunction with the modified Veterans Administration Lung Study Group classification system distinguishing limited stage from extensive stage SCLC. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment. [ABSTRACT FROM AUTHOR]

Summary Background There are two issues to be discussed in pleural lavage cytology (PLC) for resected non-small cell lung cancer (NSCLC) whether it should be performed before (pre-PLC) or after (post-PLC) the lung resection and the dose of saline varies widely among the institutions. Methods We retrospectively reviewed the clinical records of 466 consecutive patients who underwent a curative resection for NSCLC and received both a pre- and post- PLC using 20 mL of saline from January 2001 to December 2011. Results There were 24/28 of positive pre- and post-PLC and 442/438 negative pre- and post-PLCs, respectively. Patients with a positive pre- or post-PLCs had significantly worse 5-year survival rates than those with negative results (pre-PLC positive/negative; 32.6%/69.9%, p = 0.001, post-PLC positive/negative; 21.4%/71.1%, p < 0.001, respectively). The post-PLC (p = 0.01) was an independent prognostic factor for the overall survival by a multivariate analysis, whereas the pre-PLC was not (p = 0.79). Conclusions The post-PLC was a more significant prognostic factor than the pre-PLC. Further, 20 mL of saline seemed feasible because of the consistent results compared to the past reports using a greater dose of saline for regarding the positive rates of the PLC and its prognostic significance. [ABSTRACT FROM AUTHOR]

In this report we describe a case of pulmonary epithelioid hemangioendothelioma (PEH) in a young woman. The neoplasm manifested with dry cough, chest pain, finger clubbing, and multiple bilateral pulmonary nodules on chest x-ray and computed tomographic (CT) scan. She underwent thoracoscopy, and the histological features of the lung biopsies were initially interpreted as consistent with a not-well-defined interstitial lung disease. Our patient was clinically and radiologically stable over a period of four years, after which the disease progressed to involve not only the lung but also mediastinal lymph nodes, liver and bone. Fiberoptic bronchoscopy showed subtotal occlusion of the right middle and lower lobe bronchi. The histologic examination of bronchial biopsies revealed a poorly differentiated neoplasm immunohistochemically positive for vimentin and vascular markers CD31, CD34 and Factor VIII. A diagnosis of malignant hemangioendothelioma was made. Positron emission tomography (PET) is more sensitive than CT scan and bone scintigraphy in detecting PEH metastases. Furthermore, 18-fluorodeoxyglucose (FDG) uptake seems to be related to the grade of malignancy of PEH lesions. Therefore, we suggest that FDG-PET should be included in the staging system and follow-up of PEH.