K. Valluru
University of Akron
30 Papers
147 Citations
K. Valluru is an academic researcher from University of Akron. The author has contributed to research in topics: Optical polarization & Medicine. The author has an hindex of 10, co-authored 30 publications. Previous affiliations of K. Valluru include Stanford University & University of Rochester.
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Papers
Ultrasound Molecular Imaging With BR55 in Patients With Breast and Ovarian Lesions: First-in-Human Results.
Jürgen K. Willmann,Lorenzo Bonomo,Antonia Carla Testa,Pierluigi Rinaldi,Guido Rindi,K. Valluru,Gianluigi Petrone,Maurizio Martini,Amelie M. Lutz,Sanjiv S. Gambhir +9 more
TL;DR: USMI with MBKDR is clinically feasible and safe, and KDR-targeted USMI signal matches well with KDR expression on IHC, and this study lays the foundation for a new field of clinical USMI in cancer.
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Photoacoustic Imaging in Oncology: Translational Preclinical and Early Clinical Experience
TL;DR: The current state of photoacoustic imaging is presented, including techniques and instrumentation, followed by a discussion of potential clinical applications of this technique for the detection and management of cancer.
194
Clinical photoacoustic imaging of cancer.
K. Valluru,Juergen K. Willmann +1 more
TL;DR: In this review, the state-of-the-art photoacoustic imaging techniques and some of the key outcomes pertaining to different cancer applications in the clinic are presented.
Multispectral Photoacoustic Imaging of Prostate Cancer: Preliminary Ex-vivo Results.
Vikram S. Dogra,Bhargava Chinni,K. Valluru,Jean V. Joseph,Ahmed Ghazi,Jorge L. Yao,Katie Evans,Edward M. Messing,Navalgund Rao +8 more
TL;DR: The preliminary results of ex-vivo human prostate study suggest that multispectral PA imaging can differentiate between malignant prostate, BPH and normal prostate tissue.
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Preliminary Results of Ex Vivo Multispectral Photoacoustic Imaging in the Management of Thyroid Cancer
Vikram S. Dogra,Bhargava Chinni,K. Valluru,Jacob Moalem,Ellen Giampoli,Katie Evans,Navalgund Rao +6 more
TL;DR: The preliminary results of this ex vivo human thyroid study suggest that multispectral photoacoustic imaging can be used to differentiate malignant and benign nodules and normal human thyroid tissue.
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