Automated detection of pulmonary nodules in helical computed tomography images of the thorax

1998 ◽  
Author(s):  
Samuel G. Armato III ◽  
Maryellen L. Giger ◽  
Catherine J. Moran ◽  
Heber MacMahon ◽  
Kunio Doi
Keyword(s):  
Computed Tomography ◽  
Pulmonary Nodules ◽  
Automated Detection ◽  
Helical Computed Tomography ◽  
Computed Tomography Images

Pulmonary Infiltrates in a Patient With Advanced Melanoma

2017 ◽  
Vol 35 (7) ◽  
pp. 705-708 ◽  
Author(s):  
Charles A. Powell
Keyword(s):  
Computed Tomography ◽  
Subcutaneous Tissue ◽  
Relevant Literature ◽  
Pulmonary Nodules ◽  
Advanced Melanoma ◽  
Resection Margins ◽  
Left Chest ◽  
Pulmonary Infiltrates ◽  
Computed Tomography Images ◽  
History Of

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors’ suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology, to patients seen in their own clinical practice. A 60-year-old former smoker with metastatic melanoma presented with the chief complaint of pulmonary infiltrates. Five years ago, he was diagnosed with a left chest wall melanoma. He underwent surgery but received no additional therapy for an American Joint Committee on Cancer stage T3a N0 M0 tumor that was 2.7 mm in depth with no ulceration of the epidermal surface. Resection margins were free of tumor. Four years later, he underwent excision of a raised pigmented skin lesion on his left calf that proved to be melanoma with positive margins. He underwent re-excision of melanoma but 2 months later developed a new left hip soft tissue nodule. Positron emission tomography (PET) –computed tomography showed multiple hypermetabolic lesions involving subcutaneous tissue, muscle osseous structures, and bone marrow, consistent with advanced melanoma. He began systemic therapy with ipilimumab and nivolumab. After four cycles of immunotherapy, he developed a nonproductive cough and mild dyspnea on exertion (Modified Medical Research Council dyspnea scale score of 2 [ie, he had to stop for breath when walking at his own pace on level ground]). A chest x-ray showed bilateral hilar enlargement, thickening of the right paratracheal stripe, and scattered patchy increased interstitial markings bilaterally. PET and chest computed tomography images showed enlarged mediastinal adenopathy with increased [18F]fluorodeoxyglucose uptake on PET and scattered diffuse 1- to 2-mm pulmonary nodules with ground-glass opacities ( Fig 1 ). The patient was referred for pulmonary input. The patient had smoked one pack of cigarettes per day for 35 years; he quit 6 years ago. He had no history of pneumonia, childhood asthma, or tuberculosis. His mother had asthma, but there was no other family history of asthma or other lung disease.

Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images

2020 ◽  
Vol 47 (9) ◽  
pp. 4032-4044 ◽  
Author(s):  
Zabihollahy Fatemeh ◽  
Schieda Nicola ◽  
Krishna Satheesh ◽  
Ukwatta Eranga
Keyword(s):  
Computed Tomography ◽  
Automated Detection ◽  
Renal Masses ◽  
Computed Tomography Images

Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images

2015 ◽  
Vol 34 (4) ◽  
pp. 962-973 ◽  
Author(s):  
Francesco Ciompi ◽  
Colin Jacobs ◽  
Ernst Th. Scholten ◽  
Mathilde M. W. Wille ◽  
Pim A. de Jong ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pulmonary Nodules ◽  
Computed Tomography Images

scholarly journals Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes

2012 ◽  
Vol 16 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Marco Feuerstein ◽  
Ben Glocker ◽  
Takayuki Kitasaka ◽  
Yoshihiko Nakamura ◽  
Shingo Iwano ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lymph Nodes ◽  
Automated Detection ◽  
Chest Computed Tomography ◽  
Computed Tomography Images

scholarly journals Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

2017 ◽  
Vol 42 ◽  
pp. 1-13 ◽  
Author(s):  
Arnaud Arindra Adiyoso Setio ◽  
Alberto Traverso ◽  
Thomas de Bel ◽  
Moira S.N. Berens ◽  
Cas van den Bogaard ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pulmonary Nodules ◽  
Automatic Detection ◽  
Computed Tomography Images

Automatic detection of spiculation of pulmonary nodules in computed tomography images

2015 ◽  
Author(s):  
F. Ciompi ◽  
C. Jacobs ◽  
E. T. Scholten ◽  
S. J. van Riel ◽  
M. M. W. Wille ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pulmonary Nodules ◽  
Automatic Detection ◽  
Computed Tomography Images

Application of the iris filter for automatic detection of pulmonary nodules on computed tomography images

2009 ◽  
Vol 39 (10) ◽  
pp. 921-933 ◽  
Author(s):  
Jorge Juan Suárez-Cuenca ◽  
Pablo G. Tahoces ◽  
Miguel Souto ◽  
María J. Lado ◽  
Martine Remy-Jardin ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pulmonary Nodules ◽  
Automatic Detection ◽  
Computed Tomography Images
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