| Title |
Prediction of breast cancer using volatile biomarkers in the breath
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, February 2006
|
| DOI | 10.1007/s10549-006-9176-1 |
| Pubmed ID | |
| Authors |
Michael Phillips, Renee N. Cataneo, Beth Ann Ditkoff, Peter Fisher, Joel Greenberg, Ratnasiri Gunawardena, C. Stephan Kwon, Olaf Tietje, Cynthia Wong |
| Abstract |
We evaluated a breath test for volatile organic compounds (VOCs) as a predictor of breast cancer. Breath VOCs were assayed in 51 asymptomatic women with abnormal mammograms and biopsy-proven breast cancer, and 42 age-matched healthy women. A fuzzy logic model predicted breast cancer with accuracy superior to previously reported findings. Following random assignment to a training set (64) or a prediction set (29), a model was constructed in the training set employing five breath VOCs that predicted breast cancer in the prediction set with 93.8% sensitivity and 84.6% specificity. The same model predicted no breast cancer in 16/50 (32.0%) women with abnormal mammograms and no cancer on biopsy. A two-minute breath test could potentially provide a safe, accurate and painless screening test for breast cancer, but prospective validation studies are required. |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| Russia | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 215 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 25% |
| Researcher | 33 | 15% |
| Student > Master | 29 | 13% |
| Student > Bachelor | 23 | 10% |
| Other | 12 | 5% |
| Other | 27 | 12% |
| Unknown | 43 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 39 | 18% |
| Agricultural and Biological Sciences | 28 | 13% |
| Medicine and Dentistry | 21 | 9% |
| Biochemistry, Genetics and Molecular Biology | 17 | 8% |
| Engineering | 16 | 7% |
| Other | 44 | 20% |
| Unknown | 57 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2023.
All research outputs
#2,042,954
of 25,093,754 outputs
Outputs from Breast Cancer Research and Treatment
#267
of 4,945 outputs
Outputs of similar age
#3,878
of 84,781 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#2
of 19 outputs
Altmetric has tracked 25,093,754 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,945 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 84,781 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.