Can Multi-Parametric MR Based Approach Improve the Predictive Value of Pathological and Clinical Therapeutic Response in Breast Cancer Patients?

Frontiers in Oncology
Uma SharmaN R Jagannathan

Abstract

The potential of total choline (tCho), apparent diffusion coefficient (ADC) and tumor volume, both individually and in combination of all these three parameters (multi-parametric approach), was evaluated in predicting both pathological and clinical responses in 42 patients with locally advanced breast cancer (LABC) enrolled for neoadjuvant chemotherapy (NACT). Patients were sequentially examined by conventional MRI; diffusion weighted imaging and in vivo proton MR spectroscopy at 4 time points (pre-therapy, after I, II, and III NACT) at 1.5 T. Miller Payne grading system was used for pathological assessment of response. Of the 42 patients, 24 were pathological responders (pR) while 18 were pathological non-responders (pNR). Clinical response determination classified 26 patients as responders (cR) while 16 as non-responders (cNR). tCho and ADC showed significant changes after I NACT, however, MR measured tumor volume showed reduction only after II NACT both in pR and cR. After III NACT, the sensitivity to detect responders was highest for MR volume (83.3% for pR and 96.2% for cR) while the specificity was highest for ADC (76.5% for pR and 100% for cR). Combination of all three parameters exhibited lower sensitivity (66.7%) than ...Continue Reading

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Citations

Jan 4, 2019·Journal of Magnetic Resonance Imaging : JMRI·Sunitha B ThakurKatja Pinker
Nov 21, 2018·NMR in Biomedicine·Naranamangalam R Jagannathan
May 28, 2020·Biophysics Reviews·Naranamangalam R Jagannathan
Jul 2, 2019·BJR Open·Uma Sharma, Naranamangalam Raghunathan Jagannathan

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Methods Mentioned

BETA
X-ray
biopsy
PCA

Software Mentioned

Syngo GRACE
SPSS
MetaboAnalyst
STATA

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