Clinical validation and assessment of a modular fluorescent imaging system and algorithm for rapid detection and quantification of dental plaque

Abstract Purpose Safe breast cancer lumpectomies require microscopically clear margins. Real-time margin assessment options are limited, and 20–40% of lumpectomies have positive margins requiring re-excision. The LUM Imaging System previously showed excellent sensitivity and specificity for tumor detection during lumpectomy surgery. We explored its impact on surgical workflow and performance across patient and tumor types. Methods We performed IRB-approved, prospective, non-randomized studies in breast cancer lumpectomy procedures. The LUM Imaging System uses LUM015, a protease-activated fluorescent imaging agent that identifies residual tumor in the surgical cavity walls. Fluorescent cavity images were collected in real-time and analyzed using system software. Results Cavity and specimen images were obtained in 55 patients injected with LUM015 at 0.5 or 1.0 mg/kg and in 5 patients who did not receive LUM015. All tumor types were distinguished from normal tissue, with mean tumor:normal (T:N) signal ratios of 3.81–5.69. T:N ratios were 4.45 in non-dense and 4.00 in dense breasts (p = 0.59) and 3.52 in premenopausal and 4.59 in postmenopausal women (p = 0.19). Histopathology and tumor receptor testing were not affected by LUM015. Falsely positive readings were more likely when tumor was present < 2 mm from the adjacent specimen margin. LUM015 signal was stable in vivo at least 6.5 h post injection, and ex vivo at least 4 h post excision. Conclusions Intraoperative use of the LUM Imaging System detected all breast cancer subtypes with robust performance independent of menopausal status and breast density. There was no significant impact on histopathology or receptor evaluation.

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Development of a rapid detection and quantification method of Karenia mikimotoi by real-time quantitative PCR

Harmful Algae ◽

10.1016/j.hal.2012.03.004 ◽

2012 ◽

Vol 17 ◽

pp. 83-91 ◽

Cited By ~ 41

Author(s):

Jian Yuan ◽

Tiezhu Mi ◽

Yu Zhen ◽

Zhigang Yu

Keyword(s):

Real Time ◽

Quantitative Pcr ◽

Rapid Detection ◽

Karenia Mikimotoi ◽

Real Time Quantitative Pcr ◽

Quantification Method ◽

Detection And Quantification

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Advanced test protocols for rapid detection and quantification of nonlinear dynamic responses in aeroengine casing assemblies

Nonlinear Dynamics ◽

10.1007/s11071-021-06375-6 ◽

2021 ◽

Author(s):

Seyed-Ehsan Mir-Haidari ◽

Kamran Behdinan

Keyword(s):

Nonlinear Dynamic ◽

Rapid Detection ◽

Dynamic Responses ◽

Detection And Quantification

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Detection of Peanut Allergen Traces with a Real Time PCR Assay - The Challenge to Protect Food-Allergic Consumers

Journal of Food Research ◽

10.5539/jfr.v7n1p32 ◽

2017 ◽

Vol 7 (1) ◽

pp. 32 ◽

Cited By ~ 2

Author(s):

Dimitra Houhoula ◽

Stamatios Koussissis ◽

Vladimiros Lougovois ◽

John Tsaknis ◽

Dimitra Kassavita ◽

...

Keyword(s):

Real Time ◽

Real Time Pcr ◽

Rapid Detection ◽

Food Products ◽

Molecular Techniques ◽

Food Allergens ◽

Pcr Assay ◽

Peanut Allergen ◽

Pcr Method ◽

Detection And Quantification

The aim of the present study was the implementation of molecular techniques in the detection and quantification of allergic substances of peanut in various kinds of food products, e.g., breakfast cereals, chocolates and biscuits that are frequently related to allergies. In some cases, the presence of peanuts can be due to contamination during production and are not declared on the label. A total of 152 samples were collected from supermarkets and were analysed by a Real Time PCR method. The results indicated that 125 samples (83,3%) were found positive in peanut traces but the most important finding is that from the 84 samples that had no allergen declaration for peanuts, 48 (57,1%) of them were found positive. In conclusion, Real Time PCR can be a very important tool for the rapid detection and quantification of food allergens.

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