R
Ross Berbeco
Researcher at Brigham and Women's Hospital
Publications - 192
Citations - 6398
Ross Berbeco is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Imaging phantom & Radiation therapy. The author has an hindex of 42, co-authored 187 publications receiving 5656 citations. Previous affiliations of Ross Berbeco include German Cancer Research Center & Stanford University.
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Replacing PCR with COLD-PCR enriches variant DNA sequences and redefines the sensitivity of genetic testing.
TL;DR: Co-amplification at lower denaturation temperature PCR (COLD-PCR), a novel form of PCR that amplifies minority alleles selectively from mixtures of wild-type and mutation-containing sequences irrespective of the mutation type or position on the sequence, is described.
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Residual motion of lung tumours in gated radiotherapy with external respiratory surrogates.
TL;DR: Although gating reduced the total tumour motion, the residual motion behaved unpredictably and treatment margins that account for motion should be individualized and daily imaging should be performed to ensure that the residualMotion is not exceeding the planned motion on a given day.
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Accuracy of tumor motion compensation algorithm from a robotic respiratory tracking system: a simulation study.
TL;DR: Computer simulations suggest that the applied combined use of internal and external markers allow the robot to accurately follow tumor motion even in the case of irregularities in breathing patterns, as well as the consequences of the lower acquisition frequency of the RTS.
Journal Article
Replacing PCR with COLD-PCR enriches variant DNA sequences and redefines the sensitivity of genetic testing in cancer
TL;DR: Co-amplification at Lower Denaturation temperature (COLD-PCR) as mentioned in this paper is a novel form of PCR that amplifies minority alleles selectively from mixtures of wild-type and mutation-containing sequences irrespective of the mutation type or position on the sequence.
Journal ArticleDOI
Internal-external correlation investigations of respiratory induced motion of lung tumors.
TL;DR: Using a set of data that contains synchronous internal and external motion traces, a dynamic data analysis technique is developed to study the internal-external correlation, and to quantitatively estimate its underlying time behavior.