Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy

Abstract

2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:1388-1396.

Integrating dynamic contrast‐enhanced magnetic resonance imaging and diffusion kurtosis imaging for neoadjuvant chemotherapy assessment of nasopharyngeal carcinoma

“…It was a primary report combining DCE‐MRI and DKI to evaluate the response to NAC treatment in NPC with satisfactory performance. Compared with other studies that used multiple parameters MRI in evaluating therapy response in cervical cancer, this primary study showed that a combination of multimodal MRI had a higher diagnostic accuracy than single modality alone in NPC. Multiparameter MRI supposed a strong power for diagnosis and treatment prediction in the field of oncology.…”

Emerging role of MRI in radiation therapy

“…A number of studies have shown that changes in diffusion signal and ADC are helpful in predicting pathologic response to various tumor types, including locally advanced rectal cancer as well as cervical cancers undergoing combined neoadjuvant chemotherapy and radiation therapy (CRT). 103,104 In a recent study, post-CRT skewness of the ADC histogram and percentage change in ADC were useful for predicting a favorable response to neoadjuvant CRT in cervical cancer. 103 Similarly, in a small study of pancreatic cancer, there was an increase in ADC values of the pancreatic tumor after neoadjuvant chemoradiation.…”

“…103,104 In a recent study, post-CRT skewness of the ADC histogram and percentage change in ADC were useful for predicting a favorable response to neoadjuvant CRT in cervical cancer. 103 Similarly, in a small study of pancreatic cancer, there was an increase in ADC values of the pancreatic tumor after neoadjuvant chemoradiation. 105 Furthermore, posttreatment ADC values were correlated with degree of pathologic response.…”

Influence of temporal parameters of DCE‐MRI on the quantification of heterogeneity in tumor vascularization

“…Consequently, quantifying the spatial heterogeneity in vascularization of the whole tumor volume from DCE‐MRI data may be more informative and realistic. In that sense, radiomics approaches on DCE‐MRI have recently shown encouraging results, alone or with other MRI sequences, in order to improve the detection of prostate cancer, to distinguish benign and malignant adnexal masses, to identify relevant molecular subtypes of breast cancers, to detect lymph node metastases in breast cancers, or to predict response to neoadjuvant treatment for rectum, breast, and nasopharyngeal cancers . Soft‐tissue sarcomas (STS) are malignant mesenchymal tumors with important inter‐ and intratumoral heterogeneity known to be associated with high grade .…”

“…In that sense, radiomics approaches on DCE-MRI have recently shown encouraging results, alone or with other MRI sequences, in order to improve the detection of prostate cancer, to distinguish benign and malignant adnexal masses, to identify relevant molecular subtypes of breast cancers, to detect lymph node metastases in breast cancers, or to predict response to neoadjuvant treatment for rectum, breast, and nasopharyngeal cancers. [5][6][7][8][9][10][11][12] Soft-tissue sarcomas (STS) are malignant mesenchymal tumors with important inter-and intratumoral heterogeneity known to be associated with high grade. 13 Previous studies have shown that DCE-MRI could be useful to predict response to chemotherapy in high-grade STS, [14][15][16][17] as well as radiomics approaches.…”