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David F. Yankelevitz

Researcher at Icahn School of Medicine at Mount Sinai

Publications -  397
Citations -  21905

David F. Yankelevitz is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Lung cancer & Cancer. The author has an hindex of 66, co-authored 358 publications receiving 19757 citations. Previous affiliations of David F. Yankelevitz include Yale University & Columbia University.

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Early Lung Cancer Action Project: overall design and findings from baseline screening

TL;DR: Low-dose CT can greatly improve the likelihood of detection of small non-calcified nodules, and thus of lung cancer at an earlier and potentially more curable stage, although false-positive CT results are common.
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The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

TL;DR: The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus and is expected to provide an essential medical imaging research resource to spur CAD development, validation, and dissemination in clinical practice.
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Survival of patients with stage I lung cancer detected on CT screening.

TL;DR: In this article, the 10-year lung cancer-specific survival rate among participants with clinical stage I lung cancer that was detected on CT screening and diagnosed by biopsy, regardless of the type of treatment received, and among those who underwent surgical resection of clinical Stage I cancer within 1 month.
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CT Screening for Lung Cancer: Frequency and Significance of Part-Solid and Nonsolid Nodules

TL;DR: In CT screening for lung cancer, the detected nodule commonly is either only part-solid or nonsolid, but such a nodule is more likely to be malignant than a solid one, even when nodule size is taken into account.
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Small Pulmonary Nodules: Volumetrically Determined Growth Rates Based on CT Evaluation

TL;DR: CT volumetric measurements are highly accurate for determining volume and are useful in assessing growth of small nodules and calculating their doubling times.