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 ◽  
...  
2017 ◽  
Vol 35 (7) ◽  
pp. 705-708 ◽  
Author(s):  
Charles A. Powell

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.


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 ◽  
...  

2015 ◽  
Author(s):  
F. Ciompi ◽  
C. Jacobs ◽  
E. T. Scholten ◽  
S. J. van Riel ◽  
M. M. W. Wille ◽  
...  

2009 ◽  
Vol 39 (10) ◽  
pp. 921-933 ◽  
Author(s):  
Jorge Juan Suárez-Cuenca ◽  
Pablo G. Tahoces ◽  
Miguel Souto ◽  
María J. Lado ◽  
Martine Remy-Jardin ◽  
...  

1998 ◽  
Author(s):  
Samuel G. Armato III ◽  
Maryellen L. Giger ◽  
Catherine J. Moran ◽  
Heber MacMahon ◽  
Kunio Doi

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Bruno Max Borguezan ◽  
Agnaldo José Lopes ◽  
Eduardo Haruo Saito ◽  
Claudio Higa ◽  
Aristófanes Corrêa Silva ◽  
...  

Background. The number of incidental findings of pulmonary nodules using imaging methods to diagnose other thoracic or extrathoracic conditions has increased, suggesting the need for in-depth radiological image analyses to identify nodule type and avoid unnecessary invasive procedures. Objectives. The present study evaluated solid indeterminate nodules with a radiological stability suggesting benignity (SINRSBs) through a texture analysis of computed tomography (CT) images. Methods. A total of 100 chest CT scans were evaluated, including 50 cases of SINRSBs and 50 cases of malignant nodules. SINRSB CT scans were performed using the same noncontrast enhanced CT protocol and equipment; the malignant nodule data were acquired from several databases. The kurtosis (KUR) and skewness (SKW) values of these tests were determined for the whole volume of each nodule, and the histograms were classified into two basic patterns: peaks or plateaus. Results. The mean (MEN) KUR values of the SINRSBs and malignant nodules were 3.37 ± 3.88 and 5.88 ± 5.11, respectively. The receiver operating characteristic (ROC) curve showed that the sensitivity and specificity for distinguishing SINRSBs from malignant nodules were 65% and 66% for KUR values >6, respectively, with an area under the curve (AUC) of 0.709 (p<0.0001). The MEN SKW values of the SINRSBs and malignant nodules were 1.73 ± 0.94 and 2.07 ± 1.01, respectively. The ROC curve showed that the sensitivity and specificity for distinguishing malignant nodules from SINRSBs were 65% and 66% for SKW values >3.1, respectively, with an AUC of 0.709 (p<0.0001). An analysis of the peak and plateau histograms revealed sensitivity, specificity, and accuracy values of 84%, 74%, and 79%, respectively. Conclusions. KUR, SKW, and histogram shape can help to noninvasively diagnose SINRSBs but should not be used alone or without considering clinical data.


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