Comparison of different localization needles and postures in localization of pulmonary nodules.

Background: With advancements in imaging testing and surgical procedures, an increasing number of nodules with smaller diameters and deeper locations have been deemed suitable for surgical intervention. The preoperative localization of these nodules has become essential. In this retrospective single-center study, we aimed to compare the effectiveness and patient comfort associated with the use of a four-hook needle versus a hook-wire needle for preoperative localization.

Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion.

Background: Diffusion-weighted imaging (DWI) can be used for quantitative tumor assessment. DWI with different models may show different aspects of tissue characteristics.

Objective: To investigate the diagnostic performance of parameters derived from monoexponential, biexponential, stretched exponential magnetic resonance diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in differentiating benign from malignant solitary pulmonary lesions (SPLs).

The Winner and still champion: Nodule volume doubling times.

There have been enormous advances in the approach to assessing malignancy status of indeterminate pulmonary nodules including risk models, image based biomarkers and numerous types of biologic and molecular markers. All of these have the advantage of guiding further workup once the nodule is identified. The traditional method, especially for smaller nodules relies primarily on assessing whether a nodule changes in size over time and is a feature in virtually every management protocol for both screen detected as well as incidentally detected nodules.

CT Radiomic Nomogram Using Optimal Volume of Interest for Preoperatively Predicting Invasive Mucinous Adenocarcinomas in Patients with Incidental Pulmonary Nodules: A Multicenter, Large-Scale Study.

Introduction: This study evaluated the efficacy of radiomic analysis with optimal volumes of interest (VOIs) on computed tomography images to preoperatively differentiate invasive mucinous adenocarcinoma (IMA) from non-mucinous adenocarcinoma (non-IMA) in patients with incidental pulmonary nodules (IPNs).

Methods: This multicenter, large-scale retrospective study included 1383 patients with IPNs, 110 (8%) of whom were pathologically diagnosed with IMA postoperatively. Radiomic features were extracted from multi-scale VOI subgroups (VOI, VOI, VOI , and VOI ).

Laser-guided percutaneous microwave ablation for lung nodules: a promising approach with reduced operation time.

Background: Pulmonary nodule ablation is an effective method for treating pulmonary nodules. This study is based on the traditional CT-guided percutaneous microwave ablation (MWA) of pulmonary nodules. By comparing laser guidance technology with freehand method, this study aims to explore the safety and efficacy and patients' pain scores of these two approaches.

Progressive changes in non-neoplastic ground-glass nodules on follow-up computed tomography (CT).

Background: Non-neoplastic ground-glass nodules (GGNs) generally decrease in size or density during follow-up; however, some exhibit the opposite effect (and show progressive changes), which can lead to unnecessary resection. This study sought to determine the progressive changes in non-neoplastic GGNs using follow-up computed tomography (CT).

Methods: This cross-sectional study included 70 patients diagnosed with pathologically confirmed non-neoplastic GGNs from January 2017 to March 2023.

Giant Cystic Pneumocytoma in a Young Male: Rare Diagnostic Conundrum with Clinicoradiological and Histopathological Features.

Pulmonary sclerosing pneumocytoma is a rare benign neoplasm typically seen in middle-aged women. The exact preoperative diagnosis is quite challenging considering its nonspecific clinical and radiologic features along with complex histology. Moreover, obtaining an exact histopathological diagnosis can be difficult especially with the small biopsy specimens.

Comparison of Synapse 3D system (Version 4.4) and DirectPath system (Version 2.0) in virtual bronchoscopic navigation application for peripheral pulmonary nodules.

Background: Differences between virtual bronchoscopic navigation (VBN) systems and their impacts on the diagnostic yield of transbronchial biopsy (TBB) of peripheral pulmonary nodules (PPNs) remain unclear.

Objectives: To compare the Synapse 3D system (Version 4.4, Fujifilm, Japan) and DirectPath system (Version 2.

Construction of a risk prediction model for isolated pulmonary nodules 5-15 mm in diameter.

Background: Based on current technology, the accuracy of detecting malignancy in solitary pulmonary nodules (SPNs) is limited. This study aimed to establish a malignant risk prediction model for SPNs 5-15 mm in diameter.

Methods: We collected clinical characteristics and imaging features from 317 patients with SPNs 5-15 mm in diameter from the 900th Hospital of the Joint Logistic Support Force as a training cohort and 100 patients with SPNs 5-15 mm in diameter as a validation cohort.

The value of interlobar fissure semilunar sign based on multifactor joint analysis in predicting the invasiveness of ground glass nodules with interlobar fissure attachment in the lungs.

Background: This study explores the value of interlobar fissure semilunar sign(IFSS) based on multifactor joint analysis in predicting the invasiveness of ground glass nodules(GGNs) with interlobar fissure attachment in the lungs.

Methods: This was a retrospective analysis of clinical data and CT images of 203 GGNs attached to the interlobar fissures confirmed by surgery and pathology. According to pathological results, those GGNs were divided into three groups: glandular precursor lesion (atypical adenomatous hyperplasia/adenocarcinoma in situ), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC).

EDTNet: A spatial aware attention-based transformer for the pulmonary nodule segmentation.

Accurate segmentation of lung lesions in CT-scan images is essential to diagnose lung cancer. The challenges in lung nodule diagnosis arise due to their small size and diverse nature. We designed a transformer-based model EDTNet (Encoder Decoder Transformer Network) for PNS (Pulmonary Nodule Segmentation).

Incidence and risk factor analysis of moderate-to-severe pain after preoperative CT-guided hook-wire puncture localization of pulmonary nodules.

Background: Pain is a relatively common complication after hook-wire puncture localization. However, the problem of pain occurrence following this localization procedure has not been sufficiently examined. In this prospective study, we aimed to investigate the incidence and risk factors associated with acute pain after preoperative CT-guided hook-wire puncture localization of pulmonary nodules.

Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial.

Participant management in a lung cancer screening (LCS) depends on the assigned Lung Imaging Reporting and Data System (Lung-RADS) category, which is based on reliable detection and measurement of pulmonary nodules. The aim of this study was to compare the agreement of two AI-based software tools for detection, quantification and categorization of pulmonary nodules in an LCS program in Northern Germany (HANSE-trial). 946 low-dose baseline CT-examinations were analyzed by two AI software tools regarding lung nodule detection, quantification and categorization and compared to the final radiologist read.

A Novel Scale for Diagnosis of Pulmonary Ground-Glass Nodules: A Multicenter and Ambispective Cohort Study.

Background: A screening tool was devised to aid the diagnosis and treatment of ground-glass nodules (GGNs).

Methods: The current ambispective cohort study included retrospective collation of 20 variables synthesizing a patient's clinical characteristics, serum tumor markers, and CT results, which allowed division into noninvasive (benign, atypical adenomatous hyperplasia, and adenocarcinoma in situ) and invasive (minimally invasive and invasive adenocarcinomas) tumors to build a prediction nomogram and GGN screening scale. The model was verified internally.

Enhancing the differential diagnosis of small pulmonary nodules: a comprehensive model integrating plasma methylation, protein biomarkers, and LDCT imaging features.

Background: Accurate differentiation between malignant and benign pulmonary nodules, especially those measuring 5-10 mm in diameter, continues to pose a significant diagnostic challenge. This study introduces a novel, precise approach by integrating circulating cell-free DNA (cfDNA) methylation patterns, protein profiling, and computed tomography (CT) imaging features to enhance the classification of pulmonary nodules.

Methods: Blood samples were collected from 419 participants diagnosed with pulmonary nodules ranging from 5 to 30 mm in size, before any disease-altering procedures such as treatment or surgical intervention.