2016
DOI: 10.4103/0970-2113.184872
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Role of Computer Aided Diagnosis (CAD) in the detection of pulmonary nodules on 64 row multi detector computed tomography

Abstract: Aims and Objectives:To determine the overall performance of an existing CAD algorithm with thin-section computed tomography (CT) in the detection of pulmonary nodules and to evaluate detection sensitivity at a varying range of nodule density, size, and location.Materials and Methods:A cross-sectional prospective study was conducted on 20 patients with 322 suspected nodules who underwent diagnostic chest imaging using 64-row multi-detector CT. The examinations were evaluated on reconstructed images of 1.4 mm th… Show more

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Cited by 8 publications
(5 citation statements)
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“…Rare manifestations are also described. 216 In the country, now various diagnostic modalities are widely available that includes chest radiograph, CT scan 217,218 , PET scan 219 , and various other invasive and semi-invasive methods. Molecular methods are now widely available in the country [251][252][253] and are discussed in greater detail in the 2nd part of the review.…”
Section: Other Demographic Features Of Lung Cancer In Indiamentioning
confidence: 99%
“…Rare manifestations are also described. 216 In the country, now various diagnostic modalities are widely available that includes chest radiograph, CT scan 217,218 , PET scan 219 , and various other invasive and semi-invasive methods. Molecular methods are now widely available in the country [251][252][253] and are discussed in greater detail in the 2nd part of the review.…”
Section: Other Demographic Features Of Lung Cancer In Indiamentioning
confidence: 99%
“…Post-processing software provides various reading techniques such as average, MIP, MinIP, and VR. Recent technical advancements based on artificial intelligence, i.e., computer-aided detection have also shown promising results [ 11 ]. However, there is an increased ratio of false-positive results [ 11 , 12 ], recorded to be 33% in one study [ 11 ].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, major efforts have been made on early and accurate detection of lung nodules in different aspects, such as imaging technologies (NLST 2017, Niu et al 2022), diagnosis workflows (MacMahon et al 2005), and computer aided detection and computer aided diagnostic systems (Messay et al 2010). Particularly, recent results indicate that computer aided detection/diagnosis (CAD) systems empowered by artificial intelligence (AI) algorithms as the second or concurrent reader can improve the performance of lung nodule detection on chest radiographs (Yoo et al 2021) and computed tomography (CT) images (Roos et al 2010, Prakashini et al 2016.…”
Section: Introductionmentioning
confidence: 99%