A Feasibility Study for Early Detection of Breast Cancer Using Breast Skin Temperature Rhythms

A brief overview is provided of cosinor-based techniques for the analysis of time series in chronobiology. Conceived as a regression problem, the method is applicable to non-equidistant data, a major advantage. Another dividend is the feasibility of deriving confidence intervals for parameters of rhythmic components of known periods, readily drawn from the least squares procedure, stressing the importance of prior (external) information. Originally developed for the analysis of short and sparse data series, the extended cosinor has been further developed for the analysis of long time series, focusing both on rhythm detection and parameter estimation. Attention is given to the assumptions underlying the use of the cosinor and ways to determine whether they are satisfied. In particular, ways of dealing with non-stationary data are presented. Examples illustrate the use of the different cosinor-based methods, extending their application from the study of circadian rhythms to the mapping of broad time structures (chronomes).

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“…A slightly different model can also be considered wherein the error term is replaced by an autoregressive error term [10,51,52]. …”

Section: Introductionmentioning

confidence: 99%

“…When residuals are correlated, the data can either be low-passed filtered by averaging or decimation (using only one every k values, thereby lengthening the sampling interval from Δt to kΔt). A slightly different model can also be considered wherein the error term is replaced by an autoregressive error term [ 10 , 51 , 52 ].…”

Section: Introductionmentioning

confidence: 99%

Cosinor-based rhythmometry

Cornélissen

2014

Theor Biol Med Model

600

502

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Circadian Breast Skin Temperature Rhythms: Overt and Occult Benign and Occult Primary Malignant Breast Disease

Wilson

George

Mansel

et al. 1984

Chronobiology International

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Circadian variations of breast surface temperature have been measured in patients with overt or occult benign breast disease, or in those with occult breast cancer. Subjects were studied in a hospital ward environment well-controlled with respect to ambient temperature. Using manual techniques temperatures were recorded half-hourly for 96 hr from replicate sensors placed on quadrants of the left and right breasts inclusive of tumour areas and similar sites on the contralateral breast. Application of time series analysis failed to consistently demonstrate differences in values for the rhythm parameters for the tumour area and contralateral site. It was apparent, however, that the tumour area was generally associated with a reduced initial variance of the series in addition to a reduced percentage variance explained by a time series model with two rhythmic components when compared to the control site. These data suggest that efforts to identify early breast disease from signals of breast temperature should, at least, be directed to studies of temperature variance.

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A Feasibility Study for Early Detection of Breast Cancer Using Breast Skin Temperature Rhythms

Cited by 2 publications

References 17 publications

Cosinor-based rhythmometry

Cosinor-based rhythmometry

Circadian Breast Skin Temperature Rhythms: Overt and Occult Benign and Occult Primary Malignant Breast Disease

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