Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Language
Publication year range
1.
Head Neck ; 43(5): 1428-1439, 2021 05.
Article in English | MEDLINE | ID: mdl-33452742

ABSTRACT

BACKGROUND: The purpose of this study was to create dental radiation maps to calculate the mean dose to individual teeth, maxilla and mandible using intensity-modulated radiation therapy (IMRT). METHODS: Eighteen common clinical settings were chosen. Radiation plans were extracted, and each tooth was contoured at its junction with the gingiva and labeled based on the Universal/American numbering system. RESULTS: All patients were treated with prescribed doses of 50-70 Gy in 1.66-2 Gy/fraction. Patients receiving mean doses >50 Gy to the teeth, mandible, and maxilla included those with advanced tumors of the oral cavity and gross lymphadenopathy of level 1b. CONCLUSION: We believe this to be the first study generating dosimetric maps of estimated doses to each tooth and each third of the mandible and the maxilla for common examples of head and neck cancer faced by radiation oncologists. Adoption of these dental maps may help improve clinical workflow efficiency.


Subject(s)
Head and Neck Neoplasms , Radiotherapy, Intensity-Modulated , Head and Neck Neoplasms/radiotherapy , Humans , Mandible , Radiometry , Radiotherapy Dosage , Radiotherapy Planning, Computer-Assisted
2.
Preprint in English | bioRxiv | ID: ppbiorxiv-139477

ABSTRACT

With a view to extending testing capabilities for the ongoing SARS-CoV-2 pandemic we have developed a test that lowers cost and does not require real time quantitative reverse transcription polymerase chain reaction (RT-qPCR). We developed a reverse transcription nested PCR endpoint assay (RT-nPCR) and showed that RT-nPCR has comparable performance to the standard RT-qPCR test. In the course of comparing the results of both tests, we found that the standard RT-qPCR test can have low detection efficiency (less than 50%) in a real testing scenario which may be only partly explained by low viral representation in many samples. This finding points to the importance of directly monitoring detection efficiency in test environments. We also suggest measures that would improve detection efficiency.

SELECTION OF CITATIONS
SEARCH DETAIL
...