new software could speed up breast cancer
1 with 90% accuracy without the need for a specialist, according to research published in the open access journal breast cancer research. this could improve breast cancer management, particularly in developing countries where pathologists are not routinely available. "to evaluate fresh breast tissue at the point of care could change the current practice of pathology," says rebecca richards-kortum, rice university, houston, texas. "we have developed a faster means to classify
2 and
3 human breast tissues using fresh samples and
4 removing the need for time consuming tissue preparation."
today, breast cancer diagnosis is an intricate process. firstly, tissue has to be obtained, then rigorously prepared and assessed, whether this is in the context of core needle biopsy diagnosis or
5 6. pathologists must currently undergo a complex method to prepare tissue samples for
7 and this is followed by a
8 diagnosis process.
the researchers used high speed optical microscopy of intact breast tissue
9 to
10 breast tissue. this
11 method for diagnosing breast cancer from tissue samples is performed without the need for complex tissue sample preparation or assessment by a specialist pathologist.
"we performed our analysis without tissue fixation, cutting and staining and achieved comparable classification with current methods. this cuts out the tissue preparation process and allows for rapid diagnosis. it is also reliant on measurable
12, which could reduce
13 in the
14 of breast histology," says rebecca richards-kortum.
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