D
David A. Mankoff
Researcher at University of Pennsylvania
Publications - 391
Citations - 18097
David A. Mankoff is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 73, co-authored 367 publications receiving 16229 citations. Previous affiliations of David A. Mankoff include University of Washington Medical Center & Seattle Cancer Care Alliance.
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Clinical overview of the current state and future applications of positron emission tomography in bone and soft tissue sarcoma
TL;DR: The use of PET/MRI is under active investigation and may yield additional clinically impactful findings over PET/CT, and PET imaging used with concurrent CT or MRI provides a unique noninvasive way to assess regional biological and biochemical features for bone and soft tissue sarcomas.
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ACRIN 6688 phase II study of fluorine-18 3′-deoxy-3′ fluorothymidine (FLT) in invasive breast cancer.
Paul R. Jolles,Lale Kostakoglu,Harry D. Bear,Michael O. Idowu,Karen A. Kurdziel,Lalitha K. Shankar,David A. Mankoff,Fenghai Duan,DZ L'Heureux +8 more
TL;DR: Preliminary data suggest that early FLT PET is better able to predict response to therapy, as FLT uptake has been shown to correlate with cellular proliferation, and does not significantly accumulate in inflammatory tissue.
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Positron-emission Tomography Imaging in Breast Cancer
TL;DR: In breast cancer diagnosis, the word "detection" is most commonly used to mean breast cancer screening, most commonly using mammography as discussed by the authors, which involves the characterization of a suspicious mass or imaging finding, and entails tissue sampling to make a definitive diagnosis of cancer versus benign disease.
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18F-Fluoroestradiol (FES) PET/CT: review of current practice and future directions
TL;DR: Investigational uses of 18F-FES PET/CT include answering specific clinical questions in the setting of an equivocal conventional workup, serving as a biomarker to predict treatment response, staging newly diagnosed disease, and assessing ER blockade.
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Analysis of Routine Computed Tomographic Scans With Radiomics and Machine Learning: One Step Closer to Clinical Practice.
TL;DR: The JAMA Oncology journal published by the American Medical Association (AMA) as mentioned in this paper is the most widely cited journal for cancer research, with a circulation of more than 6 million copies.