scholarly journals Radiomics Methods to Differentiate Metastasis and Primary Lung Cancer of Breast Cancer Patients in PET/CT

Author(s):  
Xinglu Zhou ◽  
Yunsong Peng ◽  
Yingci Li ◽  
Jiarui Zhang ◽  
Tianyi Liu ◽  
...  

Abstract Purpose:Positron emission tomography (PET) with integrated computed tomography (PET/CT) is a whole-body imaging method providing information the entire body. When it was used in staging breast cancer patients, quite a few patients were found to have a second primary lung cancer(PLC), which was has few distinguishing features from breast cancer metastasis(MBC). Therefore, based on CT, LDCT and PET images, combined with pathological features, we established radiomics models to distinguish between MBC and PLC.Methods:We retrospectively collected CT, LDCT, and PET images, and pathology features of 100 breast cancer patients, including 60 metastases of breast cancer(MBC) and 40 primary lung cancers(PLC). The two radiologists manually drew a region of interest around the whole visible tumor in consensus. Python 3.8 and Pyradiomics toolkit are used to extract features from CT, LDCT, and PET. The linear discriminant analysis (LDA) classifier was used to build the radiomics model. The receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) were used to evaluate the classification performance.Results:Total 12, 13, and 9 features were selected from the CT, LDCT, and PET respectively. The model based on the LDCT and PET obtained the same highest AUC (0.9479). The combination with CT and pathology features showed a highest AUC of 0.9583 with a sensitivity of 1.000 and a specificity of 0.8333. Conclusion:Overall, the results are encouraging that radiomics models based on CT, LDCT and PET can differentiate between MBC and PLC pathological features could significantly improve the AUC and ACC of CT model.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e11027-e11027
Author(s):  
Nalini K Rao ◽  
Basavalinga S Ajaikumar ◽  
Kumar G Kallur ◽  
P S Sridhar ◽  
Bhattacharjee Somorat ◽  
...  

e11027 Background: Whole body FDG PET CT is a useful tool in diagnosis, staging and prognosis; and its timely use is critical for early intervention and achieving long term survival in patients with early and advanced breast cancer. Methods: In this observational retrospective study, we report FDG PET CT findings of all breast cancer patients enrolled in our hospital based cancer registry between the years 2008 to 2011. Results: One thousand and fifty three women underwent a total of 1638 scans. Two hundred and forty five scans (14.96%) were done for staging /restaging/diagnosis, 1208 (73.75%) were for response evaluation to chemotherapy and 185 (11.29%) were for surveillance. The median age at diagnosis was 53 years. We identified a possible synchronous breast primary in 28 (2.66%) women and a probable new or existing second non-breast primary in 21(1.99%) women. Internal nodal metastasis was identified in 76 (7.21%) women at diagnosis. There were 26 (2.47%) patients with multicentric tumors. There was an increased uptake in the thyroid gland in 49(2.99%) and in the adrenal in 41 (2.50%) women. There were other random ‘Incidental findings of concern’ in 7 (0.37%) of women, diagnosed either on the CT or PET-CT component. Findings on PET-CT, including- upstaging of the breast primary and unexpected new findings, unrelated to the breast primary, changed the treatment plan in approximately 7% -10% of the patients. We did find that PET-CT did not impact early tumors; however, it did contribute in, 1) the assessment of internal mammary nodes, 2) prognostication based on tumor burden and, 3) aggressive management of oligometastases. Conclusions: Whole body FDG PET CT is a useful tool for staging and prognostication in breast cancer patients. However, the timing of such scans for surveillance needs to be defined for early detection of progression to have an impact on survival.


2017 ◽  
Vol 12 (1) ◽  
pp. S353-S354
Author(s):  
Pei-Ying Lin ◽  
Ching-Yao Yang ◽  
Ching-Heng Lin ◽  
Tzu-Pin Lu ◽  
James Chih-Hsin Yang ◽  
...  

2008 ◽  
Vol 65 (1) ◽  
pp. 47-58 ◽  
Author(s):  
Gerwin P. Schmidt ◽  
Andrea Baur-Melnyk ◽  
Alexander Haug ◽  
Volker Heinemann ◽  
Ingo Bauerfeind ◽  
...  

2008 ◽  
Vol 32 (4) ◽  
pp. 330 ◽  
Author(s):  
G.P. Schmidt ◽  
A. Baur-Melnyk ◽  
A. Haug ◽  
V. Heineman ◽  
I. Bauerfeind ◽  
...  

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