Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules.

For patients with early multiple pulmonary nodules, it is essential, from a diagnostic perspective, to determine the spatial distribution, size, location, and relationship with surrounding lung tissue of these nodules throughout the entire lung. This is crucial for identifying the primary lesion and developing more scientifically grounded treatment plans for doctors. However, pattern recognition methods based on machine vision are susceptible to false positives and false negatives and, therefore, cannot fully meet clinical demands in this regard. Visualization methods based on maximum intensity projection (MIP) can better illustrate local and individual pulmonary nodules but lack a macroscopic and holistic description of the distribution and spatial features of multiple pulmonary nodules. Therefore, this study proposes a whole-lung 3D reconstruction method. It extracts the 3D contour of the lung using medical image processing technology against the background of the entire lung and performs 3D reconstruction of the lung, pulmonary artery, and multiple pulmonary nodules in 3D space. This method can comprehensively depict the spatial distribution and radiological features of multiple nodules throughout the entire lung, providing a simple and convenient means of evaluating the diagnosis and prognosis of multiple pulmonary nodules.

Resección por videotoracoscopía de nódulos pulmonares marcados con lipiodol: experiencia en dos centros universitarios / Videotoracoscopy resection of pulmonary nodules marked with lipiodol: experience in two university centers

INTRODUCCIÓN: Para facilitar la localización intraoperatoria de los nódulos pulmonares existe la alternativa de marcarlos previamente con lipiodol. OBJETIVO: Describir los resultados quirúrgicos de los pacientes sometidos a resección por videotoracoscopía de nódulos pulmonares marcados previamente con lipiodol. MATERIAL Y MÉTODOS: Estudio descriptivo. Se incluyeron los pacientes que fueron sometidos a resección por videotoracoscopía de nódulos pulmonares marcados con lipiodol, en Clínica Las Condes e Instituto Nacional del Tórax, entre junio de 2012 y junio de 2019. Se consideraron variables demográficas, radiológicas, quirúrgicas e histológicas. RESULTADOS: Se estudió un total de 93 pacientes. La edad promedio fue 63,5 (± 11,9) años. El tamaño promedio de los nódulos fue de 10,7 (± 5,8) mm. Se identificó y extrajo el 100% de los nódulos marcados. Los días de hospitalización promedio fueron 4,7 (± 6,9). Solo se registró un fallecimiento de causa no quirúrgica. CONCLUSIONES: La resección videotoracoscópica de nódulos pulmonares marcados previamente con lipiodol, es una técnica segura y eficaz.

BACKGROUND: To facilitate the intraoperative location of lung nodules there is the alternative of pre-marking them with lipiodol. OBJECTIVE: To describe the surgical results of patients undergoing videotoracoscopy resection of pulmonary nodules previously marked with lipiodol. MATERIAL AND METHODS: Descriptive study. Patients who underwent videotorcoscopy resection of pulmonary nodules marked with lipiodol were included at Clínica Las Condes and Instituto Nacional del Tórax between June 2012 and June 2019. Demographic, radiological, surgical and histological variables were considered. RESULTS: A total of 93 patients were studied. The average age was 63,5 (± 11.9) years. The average size of the nodules was 10.7 (± 5.8) mm. 100% of the marked nodules were identified and extracted. The average hospitalization days were 4.7 (± 6.9). Only one death of non-surgical cause was recorded. CONCLUSIONS: Videotoracoscopic resection of pulmonary nodules previously marked with lipiodol is a safe and effective technique.

Natural Language Processing to Identify Pulmonary Nodules and Extract Nodule Characteristics From Radiology Reports.

BACKGROUND: There is an urgent need for population-based studies on managing patients with pulmonary nodules. RESEARCH QUESTION: Is it possible to identify pulmonary nodules and associated characteristics using an automated method? STUDY DESIGN AND METHODS: We revised and refined an existing natural language processing (NLP) algorithm to identify radiology transcripts with pulmonary nodules and greatly expanded its functionality to identify the characteristics of the largest nodule, when present, including size, lobe, laterality, attenuation, calcification, and edge. We compared NLP results with a reference standard of manual transcript review in a random test sample of 200 radiology transcripts. We applied the final automated method to a larger cohort of patients who underwent chest CT scan in an integrated health care system from 2006 to 2016, and described their demographic and clinical characteristics. RESULTS: In the test sample, the NLP algorithm had very high sensitivity (98.6%; 95% CI, 95.0%-99.8%) and specificity (100%; 95% CI, 93.9%-100%) for identifying pulmonary nodules. For attenuation, edge, and calcification, the NLP algorithm achieved similar accuracies, and it correctly identified the diameter of the largest nodule in 135 of 141 cases (95.7%; 95% CI, 91.0%-98.4%). In the larger cohort, the NLP found 217,771 reports with nodules among 717,304 chest CT reports (30.4%). From 2006 to 2016, the number of reports with nodules increased by 150%, and the mean size of the largest nodule gradually decreased from 11 to 8.9 mm. Radiologists documented the laterality and lobe (90%-95%) more often than the attenuation, calcification, and edge characteristics (11%-14%). INTERPRETATION: The NLP algorithm identified pulmonary nodules and associated characteristics with high accuracy. In our community practice settings, the documentation of nodule characteristics is incomplete. Our results call for better documentation of nodule findings. The NLP algorithm can be used in population-based studies to identify pulmonary nodules, avoiding labor-intensive chart review.

Pre-operative CT localization for patients with subsolid opacities expecting video-assisted thoracoscopic surgery-single center experience of fluorescent iodized emulsion and hook-wire localization technique.

OBJECTIVE: To describe our clinical experience of using combination of fluorescent iodized emulsion, indocyanine green & lipiodol, and hook-wire in pre-operative CT localization of patients with subsolid lung lesions prior to video-assisted thoracoscopic surgery (VATS). METHODS: A retrospective review between June 2018 and July 2019 of consecutive Chinese patients whom underwent VATS for subsolid lung lesions with pre-operative CT localization done with combination of fluorescent iodized emulsion and hook-wire technique in a tertiary hospital (Tuen Mun Hospital, Hong Kong SAR). The duration and complications related to the localization procedure were recorded The clinical records, operative findings and pathology reports were retrieved from the hospital electronic clinical management system. RESULTS: Combination fluorescent iodized emulsion with hook-wire enabled accurate localization and resection of all subsolid lung lesions in VATS. No major complications were reported. CONCLUSION: Combination of fluorescent iodized emulsion and hook-wire placement under CT guidance is a simple, safe and cost- effective procedure that enabled accurate localization and resection of subsolid nodule in VATS. ADVANCES IN KNOWLEDGE: VATS has been the mainstay for indeterminate pulmonary nodules for diagnostic and/or curative purpose. The main problem that surgeons may encounter during operation is the difficulty in locating the target lesion particularly for subsolid lesions. Many pre-operative localization methods have been developed in this regard. With the novel technique that we described, we were able to overcome disadvantages of most described methods.

The Utility of Indigo Carmine and Lipiodol Mixture for Preoperative Pulmonary Nodule Localization before Video-Assisted Thoracic Surgery.

PURPOSE: To evaluate the safety and efficacy of a mixture of indigo carmine and lipiodol (MIL) as a marker of pulmonary nodule before video-assisted thoracic surgery (VATS). MATERIALS AND METHODS: One hundred sixty-eight sessions of pulmonary marking were performed using MIL before VATS for 184 nodules (mean size, 1.2 ± 0.6 cm; range, 0.3-3.6 cm) on 157 patients (83 men and 74 women; median age, 66 years). The mean distance between the lung surface and the nodule was 0.8 ± 0.7 cm (range, 0-3.9 cm). MIL was injected near the nodule using a 23-gauge needle. Mean number of 1.2 ± 0.4 (range, 1-3) punctures were performed in a session for the target nodules, with mean number of 1.1 ± 0.3 (range, 1-3). Successful targeting, localization, and VATS were defined as achievement of lipiodol accumulation at the target site on computed tomography, detection of the nodule in the operative field by fluoroscopy or visualization of dye pigmentation, and complete resection of the target nodule with sufficient margin, respectively. RESULTS: The successful targeting rate was 100%, and the successful localization rate was 99.5%, with dye pigmentation for 160 nodules (87.0%) and intraoperative fluoroscopy for 23 nodules (12.5%). Successful VATS was achieved for 181 nodules (98.4%). Two nodules (1.1%) were not resectable, and surgical margin was positive in 1 nodule (0.5%). Complications requiring interventions occurred in 5 sessions (3.0%) and included pneumothorax with chest tube placement (n = 3) and aspiration (n = 2). No complication related to the injected MIL occurred. CONCLUSIONS: MIL was safe and useful for preoperative pulmonary nodule marking.

Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines.

OBJECTIVES: To compare the PanCan model, Lung-RADS and the 1.2016 National Comprehensive Cancer Network (NCCN) guidelines for discriminating malignant from benign pulmonary nodules on baseline screening CT scans and the impact diameter measurement methods have on performances. METHODS: From the Danish Lung Cancer Screening Trial database, 64 CTs with malignant nodules and 549 baseline CTs with benign nodules were included. Performance of the systems was evaluated applying the system's original diameter definitions: Dlongest-C (PanCan), DmeanAxial (NCCN), both obtained from axial sections, and Dmean3D (Lung-RADS). Subsequently all diameter definitions were applied uniformly to all systems. Areas under the ROC curves (AUC) were used to evaluate risk discrimination. RESULTS: PanCan performed superiorly to Lung-RADS and NCCN (AUC 0.874 vs. 0.813, p = 0.003; 0.874 vs. 0.836, p = 0.010), using the original diameter specifications. When uniformly applying Dlongest-C, Dmean3D and DmeanAxial, PanCan remained superior to Lung-RADS (p < 0.001 - p = 0.001) and NCCN (p < 0.001 - p = 0.016). Diameter definition significantly influenced NCCN's performance with Dlongest-C being the worst (Dlongest-C vs. Dmean3D, p = 0.005; Dlongest-C vs. DmeanAxial, p = 0.016). CONCLUSIONS: Without follow-up information, the PanCan model performs significantly superiorly to Lung-RADS and the 1.2016 NCCN guidelines for discriminating benign from malignant nodules. The NCCN guidelines are most sensitive to nodule size definition. KEY POINTS: • PanCan model outperforms Lung-RADS and 1.2016 NCCN guidelines in identifying malignant pulmonary nodules. • Nodule size definition had no significant impact on Lung-RADS and PanCan model. • 1.2016 NCCN guidelines were significantly superior when using mean diameter to longest diameter. • Longest diameter achieved lowest performance for all models. • Mean diameter performed equivalently when derived from axial sections and from volumetry.

Ground-Glass Opacity Lung Nodules in the Era of Lung Cancer CT Screening: Radiology, Pathology, and Clinical Management.

The advent of computed tomography screening for lung cancer will increase the incidence of ground-glass opacity (GGO) nodules detected and referred for diagnostic evaluation and management. GGO nodules remain a diagnostic challenge; therefore, a more systematic approach is necessary to ensure correct diagnosis and optimal management. Here we present the latest advances in the radiologic imaging and pathology of GGO nodules, demonstrating that radiologic features are increasingly predictive of the pathology of GGO nodules. We review the current guidelines from the Fleischner Society, the National Comprehensive Cancer Network, and the British Thoracic Society. In addition, we discuss the management and follow-up of GGO nodules in the light of experience from screening trials. Minimally invasive tissue biopsies and the marking of GGO nodules for surgery are new and rapidly developing fields that will yield improvements in both diagnosis and treatment. The standard-of-care surgical treatment of early lung cancer is still minimally invasive lobectomy with systematic lymph node dissection. However, recent research has shown that some GGO lesions may be treated with sublobar resections; these findings may expand the surgical treatment options available in the future.