Diffusion‐weighted imaging and <sup>18</sup>F‐fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: Correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors

Karan, Belgin; Pourbagher, Ayşin; Torun, Neşe

doi:10.1002/jmri.25112

Cited by 35 publications

(38 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a sample of 70 breast cancer patients, Karan et al found that the median ADC value was significantly associated with vascular invasion (P=0.008). The maximum SUV (SUVmax) was also significantly correlated with tumour size (P=0.001), histological grade (P=0.001), lymph node status (P=0.0015), oestrogen receptor status (P=0.010), and human epidermal growth factor receptor 2 status (P=0.020) (26). With a similar purpose, Molinari et al observed that lower ADC values are associated with elevated Ki67 proliferation index in 115 breast cancer lesions (27).…”

Section: Mri and Other Imaging Modalitiesmentioning

confidence: 88%

Patient selection for partial breast irradiation by intraoperative radiation therapy: can magnetic resonance imaging be useful?—perspective from radiation oncology point of view

Krengli

Pisani²,

Deantonio

2016

J. Thorac. Dis.

View full text Add to dashboard Cite

The guidelines of the European and American Societies of Radiation Oncology (GEC-ESTRO and ASTRO) defined the selection criteria to offer partial breast irradiation (PBI) after lumpectomy in patients with low risk breast cancer regardless pre-operative staging. A recent publication by Tallet et al.explored the impact of preoperative magnetic resonance imaging (MRI) on patient eligibility for PBI. From their study, an ipsilateral BC was detected in 4% of patients, excluding these patients from intraoperative radiotherapy (IORT). The authors suggested that preoperative MRI should be used routinely for patient's candidate to IORT, because of the rate of ipsilateral breast cancer detected. In view of Tallet's article, we analyzed some aspects of this issue in order to envisage some possible perspective on how to better identify those patients who could benefit from PBI, especially using IORT. From historical studies, the risk of breast cancer recurrence outside index quadrant without irradiation is in the range of 1.5-3.5%. MRI sensitivity for detection of invasive cancer is reported up to 100%, and it is particularly useful in dense breast. Other imaging technique did not achieve the same sensibility and specificity as conventional MRI. Of note, none of randomized trials published and ongoing on PBI included preoperative MRI as part of staging. To perform a preoperative MRI in PBI setting is an interesting issue, but the available data suggest that this issue should be preferably studied in the setting of prospective clinical trials to clarify the role of MRI and the clinical meaning of the discovered additional foci.

show abstract

Section: Mri and Other Imaging Modalitiesmentioning

confidence: 88%

Patient selection for partial breast irradiation by intraoperative radiation therapy: can magnetic resonance imaging be useful?—perspective from radiation oncology point of view

Krengli

Pisani²,

Deantonio

2016

J. Thorac. Dis.

View full text Add to dashboard Cite

show abstract

“…Our segmentation method segments the MR functional volume of lesions on the ADC map ( V ADC ) which, in BC, is directly correlated to the PET metabolic volume MTV. Regarding MR, most works have assessed the role of ADC as surrogate biomarkers for characterization and treatment response prediction [39]. To our knowledge, only one study has proposed and validated a methodology to segment ADC maps and to obtain volume-like ADC parameters as candidate biomarkers for diagnosis and prognosis [28].…”

Section: Discussionmentioning

confidence: 99%

“…Studies on the relationship between SUV and ADC have produced conflicting results [4, 39, 45]. When a negative correlation between these two parameters was found, it was suggested as highlighting the biological relationship between glucose metabolism and diffusion within a lesion [45].…”

Section: Discussionmentioning

confidence: 99%

Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy

Gallivanone

Panzeri

Canevari

et al. 2017

Magn Reson Mater Phy

View full text Add to dashboard Cite

ObjectiveHuman cancers display intra-tumor phenotypic heterogeneity and recent research has focused on developing image processing methods extracting imaging descriptors to characterize this heterogeneity. This work assesses the role of pretreatment 18F-FDG PET and DWI-MR with respect to the prognosis and prediction of neoadjuvant chemotherapy (NAC) outcomes when image features are used to characterize primitive lesions from breast cancer (BC).Materials and methodsA retrospective protocol included 38 adult women with biopsy-proven BC. Patients underwent a pre-therapy 18F-FDG PET/CT whole-body study and a pre-therapy breast multi-parametric MR study. Patients were then referred for NAC treatment and then for surgical resection, with an evaluation of the therapy response. Segmentation methods were developed in order to identify functional volumes both on 18F-FDG PET images and ADC maps. Macroscopic and histogram features were extracted from the defined functional volumes.ResultsOur work demonstrates that macroscopic and histogram features from 18F-FDG PET are able to biologically characterize primitive BC, and define the prognosis. In addition, histogram features from ADC maps are able to predict the response to NAC.ConclusionOur work suggests that pre-treatment 18F-FDG PET and pre-treatment DWI-MR provide useful complementary information for biological characterization and NAC response prediction in BC.

show abstract

“…Similar combined [ 18 F]FDG/ADC approaches showed high diagnostic value, for example, in lung and breast cancer patients (51,52) but could not provide prognostic thresholds due to the exclusive use of single value analysis in the breast cancer study and high grades of heterogeneity in the investigated lung disease, although analyzed by a GMM approach.…”

Section: Discussionmentioning

confidence: 99%

Decoding Intratumoral Heterogeneity of Breast Cancer by Multiparametric In Vivo Imaging: A Translational Study

et al. 2016

View full text Add to dashboard Cite

Differential diagnosis and therapy of heterogeneous breast tumors poses a major clinical challenge. To address the need for a comprehensive, non-invasive strategy to define the molecular and functional profiles of tumors in vivo, we investigated a novel combination of metabolic positron emission tomography (PET) and diffusion-weighted (DW) magnetic resonance imaging (MRI) in the polyoma virus middle T transgenic mouse model of breast cancer. The implementation of a voxelwise analysis for the clustering of intra- and intertumoral heterogeneity in this model resulted in a multiparametric profile based on [18F]FDG-PET and DW-MRI which identified 3 distinct tumor phenotypes in vivo, including solid acinar and solid nodular malignancies as well as cystic hyperplasia. To evaluate the feasibility of this approach for clinical use, we examined estrogen receptor-positive (ER+) and progesterone receptor-positive (PR+) breast tumors from 5 patient cases using DW-MRI and [18F]FDG-PET in a simultaneous PET/MRI system. The post-surgical in vivo PET/MRI data was correlated to whole-slide histology using the latter traditional diagnostic standard to define phenotype. By this approach, we showed how molecular, structural (microscopic, anatomic) and functional information could be simultaneously obtained non-invasively to identify precancerous and malignant subtypes within heterogeneous tumors. Combined with an automatized analysis, our results suggest that multiparametric molecular and functional imaging may be capable of providing comprehensive tumor profiling for non-invasive cancer diagnostics.

show abstract

Diffusion‐weighted imaging and ¹⁸F‐fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: Correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors

Abstract: SUVmax may be valuable for predicting the prognosis of breast cancer. Both ADC and SUVmax are useful to predict vascular invasion. J. Magn. Reson. Imaging 2016;43:1434-1444.

Cited by 35 publications

References 40 publications

Patient selection for partial breast irradiation by intraoperative radiation therapy: can magnetic resonance imaging be useful?—perspective from radiation oncology point of view

Patient selection for partial breast irradiation by intraoperative radiation therapy: can magnetic resonance imaging be useful?—perspective from radiation oncology point of view

Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy

Decoding Intratumoral Heterogeneity of Breast Cancer by Multiparametric In Vivo Imaging: A Translational Study

Contact Info

Product

Resources

About

Diffusion‐weighted imaging and 18F‐fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: Correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors

Abstract: SUVmax may be valuable for predicting the prognosis of breast cancer. Both ADC and SUVmax are useful to predict vascular invasion. J. Magn. Reson. Imaging 2016;43:1434-1444.

Cited by 35 publications

References 40 publications

Patient selection for partial breast irradiation by intraoperative radiation therapy: can magnetic resonance imaging be useful?—perspective from radiation oncology point of view

Patient selection for partial breast irradiation by intraoperative radiation therapy: can magnetic resonance imaging be useful?—perspective from radiation oncology point of view

Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy

Decoding Intratumoral Heterogeneity of Breast Cancer by Multiparametric In Vivo Imaging: A Translational Study

Contact Info

Product

Resources

About

Diffusion‐weighted imaging and ¹⁸F‐fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: Correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors