A biplane correlation (BCI) imaging system obtains images that can be viewed in stereo, thereby minimizing overlapping structures. This study investigated whether using stereoscopic visualization provides superior lung nodule detection compared to standard postero-anterior (PA) image display. Images were acquired at two oblique views of ±3° as well as at a standard PA position from 60 patients. Images were processed using optimal parameters and displayed on a stereoscopic display. The PA image was viewed in the standard format, while the oblique views were paired to provide a stereoscopic view of the subject. A preliminary observer study was performed with four radiologists who viewed and scored the PA image then viewed and scored the BCI stereoscopic image. The BCI stereoscopic viewing of lung nodules resulted in 71 % sensitivity and 0.31 positive predictive value (PPV) index compared to PA results of 86 % sensitivity and 0.26 PPV index. The sensitivity for lung nodule detection with the BCI stereoscopic system was reduced by 15 %; however, the total number of false positives reported was reduced by 35 % resulting in an improved PPV index of 20 %. The preliminary results indicate observer dependency in terms of relative advantage of either system in the detection of lung nodules, but overall equivalency of the two methods with promising potential for BCI as an adjunct diagnostic technique.
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http://dx.doi.org/10.1007/s10278-012-9466-6 | DOI Listing |
Diagnostics (Basel)
December 2024
Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea.
: Accurate volumetric assessment of lung nodules is an essential element of low-dose lung cancer screening programs. Current guidance recommends applying specific thresholds to measured nodule volume to make the following clinical decisions. In reality, however, CT scans often have heterogeneous slice thickness which is known to adversely impact the accuracy of nodule volume assessment.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
College of Computer Science and Engineering, Taibah University, Medina 41477, Saudi Arabia.
Computer-aided diagnostic systems have achieved remarkable success in the medical field, particularly in diagnosing malignant tumors, and have done so at a rapid pace. However, the generalizability of the results remains a challenge for researchers and decreases the credibility of these models, which represents a point of criticism by physicians and specialists, especially given the sensitivity of the field. This study proposes a novel model based on deep learning to enhance lung cancer diagnosis quality, understandability, and generalizability.
View Article and Find Full Text PDFJ Cardiothorac Surg
January 2025
Department of Oncology, The 969th Hospital of the PLA joint Logistics Support Force, No. 57, Aimin Street, Xincheng District, Hohhot City, Inner Mongolia Autonomous Region, 010051, China.
Background: The accuracy and reliability of identified biomarkers in differentiating early non-small cell lung cancer (NSCLC) remain suboptimal, thereby impeding the timely detection of NSCLC.The objective of this research is to examine the expression level and diagnostic utility of miR-668-3p in individuals with NSCLC, along with its effectiveness and predictive capacity in the combined diagnosis of early-stage NSCLC using serum markers.
Methods: The research included 117 NSCLC patients and 101 pulmonary nodule patients (controls).
BMC Med Imaging
January 2025
School of Medical Technology, Shaanxi University of Chinese Medicine, Xian Yang, 712046, China.
Objective: This study aims to evaluate the efficacy of two free-breathing magnetic resonance imaging (MRI) sequences-spiral ultrashort echo time (spiral UTE) and radial volumetric interpolated breath-hold examination (radial VIBE).
Methods: Patients were prospectively enrolled between February 2021 and September 2022. All participants underwent both 3T MRI scanning, utilizing the radial VIBE sequence and spiral UTE sequence, as well as standard chest CT imaging.
Chest
January 2025
National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China. Electronic address:
A 34-year-old man who did not use tobacco complained of hemoptysis with a small volume, severe dry cough, and low-grade fever for 5 months. He denied dyspnea, chest pain, night sweats, or weight loss. Chest CT scanning showed nodules with a cavity in the lower left lung.
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