Radiology Commons^™

Adaptive Statistical Iterative Reconstruction-V For Lung Nodule Analysis, Cherry Au, Zhenteng Li, Md, Eric Gingold, Md, Ethan Halpern, Md, Baskaran Sundaram, Md

Phase 1

Introduction: Low-dose CT in lung cancer screening has demonstrated benefits in select patients. As the traditional filtered back projection (FBP) technique is limited by poor image quality, adaptive statistical iterative reconstruction-V (ASIR-V) algorithm has been developed to achieve higher image quality with processing efficiency.

Objective: To investigate the impact of various CT scan parameters on the semi-automated measurement of lung nodules using a Computer Aided Detection (CAD) program.

Methods: This IRB-exempt phantom experiment was conducted with a CT scanner capable of ASIR-V algorithm. Eight lung nodules sized 5-12 mm, of solid or ground glass type, were placed inside a multipurpose …

Excluding Ptv From Lung Volume May Better Predict Radiation Pneumonitis For Intensity Modulated Radiation Therapy In Lung Cancer Patients, Yinnan Meng, Haihua Yang, Wei Wang, Xingni Tang, Caiping Jiang, Yichao Shen, Wei Luo

Radiation Medicine Faculty Publications

Background: Lung dose-volume histogram (DVH) in radiotherapy could be calculated from multiple normal lung definitions. The lung dosimetric parameters generated from various approaches are significantly different. However, limited evidence shows which definition should be used to more accurately predict radiation pneumonitis (RP). We aimed to compare the RP prediction accuracy of dosimetric parameters from three lung volume methods in lung cancer patients treated with Intensity-Modulated Radiation Therapy (IMRT).

Methods: We retrospectively reviewed 183 consecutive lung cancer patients treated with IMRT from January 2014 to October 2017. The normal lungs were defined by total bilateral lung volume (Total Lung), excluding PTV …