RapidET: a MEMS-based platform for label-free and rapid demarcation of tumors from normal breast biopsy tissues
The rapid and label-free diagnosis of malignancies in ex vivo breast biopsy tissues has significant utility in pathology laboratories and operating rooms. We report a MEMS-based platform integrated with microchips that performs phenotyping of breast biopsy tissues using electrothermal sensing. The m...
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Veröffentlicht in: | Microsystems & nanoengineering 2022-01, Vol.8 (1), p.1-1, Article 1 |
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Sprache: | eng |
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Zusammenfassung: | The rapid and label-free diagnosis of malignancies in ex vivo breast biopsy tissues has significant utility in pathology laboratories and operating rooms. We report a MEMS-based platform integrated with microchips that performs phenotyping of breast biopsy tissues using electrothermal sensing. The microchip, fabricated on a silicon substrate, incorporates a platinum microheater, interdigitated electrodes (IDEs), and resistance temperature detectors (RTDs) as on-chip sensing elements. The microchips are integrated onto the platform using a slide-fit contact enabling quick replacement for biological measurements. The bulk resistivity (
ρ
B
), surface resistivity (
ρ
S
), and thermal conductivity (
k
) of deparaffinized and formalin-fixed paired tumor and adjacent normal breast biopsy samples from
N
= 8 patients were measured. For formalin-fixed samples, the mean
ρ
B
for tumors showed a statistically significant fold change of 4.42 (
P
= 0.014) when the tissue was heated from 25 °C to 37 °C compared to the adjacent normal tissue, which showed a fold change of 3.47. The mean
ρ
S
measurements also showed a similar trend. The mean
k
of the formalin-fixed tumor tissues was 0.309 ± 0.02 W m
−1
K
−1
compared to a significantly higher
k
of 0.563 ± 0.028 W m
−1
K
−1
for the adjacent normal tissues. A similar trend was observed in
ρ
B
,
ρ
S
,
and
k
for the deparaffinized tissue samples. An analysis of a combination of
ρ
B
,
ρ
S
, and
k
using Fisher’s combined probability test and linear regression suggests the advantage of using all three parameters simultaneously for distinguishing tumors from adjacent normal tissues with higher statistical significance. |
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ISSN: | 2055-7434 2096-1030 2055-7434 |
DOI: | 10.1038/s41378-021-00337-z |