Literature DB >> 21508732

Pulmonary nodule detection, characterization, and management with multidetector computed tomography.

Scott Brandman1, Jane P Ko.   

Abstract

Pulmonary nodule detection and characterization continue to improve with technological advancements. The noninvasive methods available for assisting in nodule detection and for characterizing nodules as benign, malignant, or indeterminate will be discussed. Evidence-based guidelines will be reviewed to help guide the appropriate management of pulmonary nodules.

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Year:  2011        PMID： 21508732     DOI： 10.1097/RTI.0b013e31821639a9

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN： 0883-5993            Impact factor:   3.000


  25 in total

1.  Improved pulmonary nodule classification utilizing quantitative lung parenchyma features.

Authors:  Samantha K N Dilger; Johanna Uthoff; Alexandra Judisch; Emily Hammond; Sarah L Mott; Brian J Smith; John D Newell; Eric A Hoffman; Jessica C Sieren
Journal:  J Med Imaging (Bellingham)       Date:  2015-09-01

2.  Evidence based imaging strategies for solitary pulmonary nodule.

Authors:  Yi-Xiang J Wang; Jing-Shan Gong; Kenji Suzuki; Sameh K Morcos
Journal:  J Thorac Dis       Date:  2014-07       Impact factor: 2.895

Review 3.  Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review.

Authors:  Amitava Halder; Debangshu Dey; Anup K Sadhu
Journal:  J Digit Imaging       Date:  2020-06       Impact factor: 4.056

Review 4.  Magnetic resonance imaging for lung cancer screen.

Authors:  Yi-Xiang J Wang; Gladys G Lo; Jing Yuan; Peder E Z Larson; Xiaoliang Zhang
Journal:  J Thorac Dis       Date:  2014-09       Impact factor: 2.895

5.  An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.

Authors:  Mehdi Alilou; Niha Beig; Mahdi Orooji; Prabhakar Rajiah; Vamsidhar Velcheti; Sagar Rakshit; Niyoti Reddy; Michael Yang; Frank Jacono; Robert C Gilkeson; Philip Linden; Anant Madabhushi
Journal:  Med Phys       Date:  2017-05-23       Impact factor: 4.071

Review 6.  Clinical PET-MR Imaging in Breast Cancer and Lung Cancer.

Authors:  Samuel L Rice; Kent P Friedman
Journal:  PET Clin       Date:  2016-10

7.  HRCT findings of small cell lung cancer measuring 30 mm or less located in the peripheral lung.

Authors:  Taiga Kobayashi; Nobuyuki Tanaka; Tsuneo Matsumoto; Kazuhiro Ueda; Yoshinobu Hoshii; Yoshie Kunihiro; Toshiki Tanaka; Masataro Hayashi; Naofumi Matsunaga
Journal:  Jpn J Radiol       Date:  2014-12-16       Impact factor: 2.374

8.  Decreased levels of circulating sex hormones as a biomarker of lung cancer in male patients with solitary pulmonary nodules.

Authors:  Tao Gu; Zongmei Wen; Shufeng Xu; Haixia Hua; Zhi Zhang; Tao Wen; Zhanzhao Fu; Xin Lv
Journal:  Afr Health Sci       Date:  2014-06       Impact factor: 0.927

9.  The usefulness of combined diagnostic CT and (99m)Tc-octreotide somatostatin receptor SPECT/CT imaging on pulmonary nodule characterization in patients.

Authors:  Liwei Wang; Xindao Yin; Feng Wang; Jianping Gu; Lingquan Lu; Qianzhi Wu; Baozhong Shen; Xiao-Feng Li
Journal:  Cancer Biother Radiopharm       Date:  2013-10-05       Impact factor: 3.099

10.  Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules.

Authors:  Ying Liu; Yoganand Balagurunathan; Thomas Atwater; Sanja Antic; Qian Li; Ronald C Walker; Gary T Smith; Pierre P Massion; Matthew B Schabath; Robert J Gillies
Journal:  Clin Cancer Res       Date:  2016-09-23       Impact factor: 12.531
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