The diagnostic capability of x-ray scattering parameters for the characterization of breast cancer.
OBJECTIVE
The evaluation of the diagnostic capability of easy to measure x-ray scattering profile characterization parameters for the detection of breast cancer in excised samples. The selected parameters are the full width at half maximum (FWHM) and area under the x-ray scattering profile of breast tissue in addition to the ratio of scattering intensities (I2/I1%) at 1.6 nm(-1) to that at 1.1 nm(-1) (corresponding to scattering from soft and adipose tissues, respectively).


METHODS
A histopathologist is asked to classify 36 excised breast tissue samples into healthy or malignant. A conventional x-ray diffractometer is used to acquire the scattering profiles of the investigated samples. The values of three profile characterization parameters are calculated and the diagnostic capability of each is evaluated by determining the optimal cutoffs of scatter diagrams, calculating the diagnostic indices, and plotting the receiver operating characteristic (ROC) curves.


RESULTS
At the calculated optimal cutoff for each of the examined parameters, the sensitivity ranged from 78% (for area under curve) up to 94% (for FWHM), the specificity ranged from 94% [for I2/I1% and area under curve] up to 100% (for FWHM), and the diagnostic accuracy ranged from 86% (for area under curve) up to 97% (for FWHM). The area under the ROC curves is greater than 0.95 for all of the investigated parameters, reflecting a highly accurate diagnostic performance.


CONCLUSIONS
The discussed tests offered a means to quantitatively evaluate the performance of the suggested breast tissue x-ray scattering characterization parameters. The performance results are promising, indicating that the evaluated parameters would be considered a tool for fast, on spot probing of breast cancer in excised tissue samples.
Elshemey
Wael M
WM
Department of Biophysics, Faculty of Science, Cairo University, Giza, Egypt. waelelshemey@yahoo.com
Desouky
Omar S
OS
Fekry
Mostafa M
MM
Talaat
Sahar M
SM
Elsayed
Anwar A
AA
D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000503:physiopathology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014961:X-Ray Diffraction / Q000379:methods*