and result in biopsy-identified cancer diagnoses in only a small minority of positive scan findings, while the majority of false positive findings may drive invasive diagnostic procedures as well as ongoing patient anxiety during months or years of follow-up. Finally, while screening has been recogn...
Magnetic resonance imaging (MRI), computed tomography scans (CT scans), ultrasonic devices, and positron emission tomography (PET) have all been used widely in the past; nevertheless, these methods have significant disadvantages, including cost, as well as the existence of radioactive material. Beca...
Third, Table 3 illustrates that the TSND obtains the FPs/Scan of 2.532.53, and the precision of TSND increases to 42.44%42.44%. These results benefit from the false positive reduction provided by the proposed CS-Net. In terms of average execution time, the proposed TSND average execution ...
Katki HA, Kovalchik SA, Petito LC, et al. Implications of nine risk prediction models for selecting ever-smokers for computed tomography lung cancer screening. Ann Intern Med. 2018;169(1):10-19. doi:10.7326/M17-2701PubMedGoogle ScholarCrossref 35. Bach PB, Kattan MW...
correlated with patient survival in NSCLC41, compared to N/R ratios, the PET scan results are less predictive for patient therapy responses in our cases. For example, although P15 had the highest SUVmax in PET imaging and the highest relative 2-NBDG intensity of 2-NBDGhighcell population ...
43OBaseline results from a French pilot study on lung cancer screening by CT scan: DEP KP80doi:10.1093/annonc/mdz070.001O LeleuM.-A. AuquierB ChauffertP BernaV JounieauxAnnals of Oncology
Diagnostics in cancer involve two different aspects: (1) bio-imaging and (2) identification of tumor-associated molecular markers. Conventional diagnosis of lung cancer is done employing diagnostic methods such as sputum cytology, imaging tests like CT scan, thoracic X-ray, PET and biopsy techniques...
The FDG-PET/CT scan protocols are detailed in Appendix A. Nodules were manually segmented on both CT and PET modalities by an experienced radiologist (Y.L.) with seven years of experience. For automatic tumor segmentation of PET and CT scans, lesions were randomly split 7:2:1 among ...
Zhang R, Cheng C, Zhao X, Li X (2019) Multiscale mask R-CNN–based lung tumor detection using PET Imaging. Mol Imaging 18:1536012119863531 Google Scholar Uçar M, Uçar E (2019) Computer-aided detection of lung nodules in chest X-rays using deep convolutional neural networks. Sakarya...
The PET scan results suggested primary lung cancer with metastasis to the perihilar node and multiple bony metastasis involving the spine, pelvic bones, bilateral ribs, right skull base, left scapula and left humerus. A tissue specimen sent to Kuala Lumpur for further analysis indicated positive fo...