Role of Diffusion-Weighted Magnetic Resonance Imaging in Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer and Its Molecular Subtypes
Abstract Purpose The aim of this study was to evaluate the role of apparent diffusion coefficient (ADC) and hence diffusion-weighted imaging in prediction of pathological complete response (pCR) to neoadjuvant chemotherapy (NACT) in locally advanced breast cancer (LABC) and its molecular subtypes....
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Veröffentlicht in: | The Indian journal of radiology & imaging 2022-09, Vol.32 (3), p.332-338 |
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Sprache: | eng |
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Zusammenfassung: | Abstract
Purpose
The aim of this study was to evaluate the role of apparent diffusion coefficient (ADC) and hence diffusion-weighted imaging in prediction of pathological complete response (pCR) to neoadjuvant chemotherapy (NACT) in locally advanced breast cancer (LABC) and its molecular subtypes.
Methods
In this tertiary hospital-based prospective study, 30 patients aged 30 to 65 years, having clinically/cytologically diagnosed LABC, were included. Magnetic resonance imaging (MRI) was done to obtain prechemotherapy ADC (ADC
pre
), postchemotherapy ADC (ADC
post
), change in ADC (ΔADC), and ΔADC% for each tumor and its subtype. Postsurgical pCR was used as the reference standard for determining tumor response. All four ADC parameters were compared between pCR and non-pCR groups.
Results
Of the 30 patients, 19 (63.3%) patients showed pCR, while 11 (36.7%) patients did not. The pCR group showed significantly lower mean ADC
pre
(
p <
0.001) and higher mean ADC
post
(
p <
0.05), ΔADC, and ΔADC% (
p
= 0.000) than non-pCR group. The best cutoff values to differentiate responders from nonresponders with receiver operating characteristic curve analysis of ADC
pre
, ADC
post
, and ΔADC% were 0.98 × 10
−3
mm
2
/s (68.4% sensitivity, 63.6% specificity), 1.31×10
−3
mm
2
/s (68.4% sensitivity, 63.6% specificity), and 25% (84.2% sensitivity, 90.9% specificity), respectively. Human epidermal growth factor receptor 2 (HER2)-enriched subtype showed significant difference in mean ADC
pre
(
p
= 0.045), while triple-negative subtype showed significant differences in mean ADC
post
(
p
= 0.032) and mean ΔADC (
p
= 0.019) between the two groups.
Conclusion
ADC
pre
, ADC
post
, and ΔADC can predict pCR to NACT in LABC. Among molecular subtypes, ADC
pre
was predictive only in HER2-enriched subtype, while ADC
post
and ΔADC were predictive only in triple-negative subtype. |
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ISSN: | 0971-3026 1998-3808 |
DOI: | 10.1055/s-0042-1750155 |