scholarly journals Semi-automatic segmentation from intrinsically-registered 18F-FDG–PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE–MRI

2019 ◽  
Vol 33 (2) ◽  
pp. 317-328
Author(s):  
Maren Marie Sjaastad Andreassen ◽  
Pål Erik Goa ◽  
Torill Eidhammer Sjøbakk ◽  
Roja Hedayati ◽  
Hans Petter Eikesdal ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Response ◽  
Neoadjuvant Treatment ◽  
Gaussian Mixture ◽  
Tumor Segmentation ◽  
Dice Similarity Coefficient ◽  
Adc Value ◽  
Dce Mri ◽  
18F Fdg ◽  
Tumor Area

Abstract Objectives To investigate the reliability of simultaneous positron emission tomography and magnetic resonance imaging (PET/MRI)-derived biomarkers using semi-automated Gaussian mixture model (GMM) segmentation on PET images, against conventional manual tumor segmentation on dynamic contrast-enhanced (DCE) images. Materials and methods Twenty-four breast cancer patients underwent PET/MRI (following 18F-fluorodeoxyglucose (18F-FDG) injection) at baseline and during neoadjuvant treatment, yielding 53 data sets (24 untreated, 29 treated). Two-dimensional tumor segmentation was performed manually on DCE–MRI images (manual DCE) and using GMM with corresponding PET images (GMM–PET). Tumor area and mean apparent diffusion coefficient (ADC) derived from both segmentation methods were compared, and spatial overlap between the segmentations was assessed with Dice similarity coefficient and center-of-gravity displacement. Results No significant differences were observed between mean ADC and tumor area derived from manual DCE segmentation and GMM–PET. There were strong positive correlations for tumor area and ADC derived from manual DCE and GMM–PET for untreated and treated lesions. The mean Dice score for GMM–PET was 0.770 and 0.649 for untreated and treated lesions, respectively. Discussion Using PET/MRI, tumor area and mean ADC value estimated with a GMM–PET can replicate manual DCE tumor definition from MRI for monitoring neoadjuvant treatment response in breast cancer.

scholarly journals Correction to: Semi-automatic segmentation from intrinsically-registered 18F-FDG–PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE–MRI

2019 ◽  
Vol 33 (2) ◽  
pp. 329-330
Author(s):  
Maren Marie Sjaastad Andreassen ◽  
Pål Erik Goa ◽  
Torill Eidhammer Sjøbakk ◽  
Roja Hedayati ◽  
Hans Petter Eikesdal ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Response ◽  
Fdg Pet ◽  
Automatic Segmentation ◽  
Response Assessment ◽  
Original Version ◽  
Dce Mri ◽  
Breast Cancer Cohort ◽  
Treatment Response Assessment ◽  
18F Fdg

The original version of this article unfortunately contained a mistake in Fig. 6.

scholarly journals Usefulness of 3D-surgical guides in breast conserving surgery after neoadjuvant treatment

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Han Shin Lee ◽  
Hee Jeong Kim ◽  
Il Yong Chung ◽  
Jisun Kim ◽  
Sae Byul Lee ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Neoadjuvant Treatment ◽  
Breast Conserving Surgery ◽  
Resection Margins ◽  
Breast Cancer Patients ◽  
Original Tumor ◽  
Surgical Guides ◽  
Neoadjuvant Systemic Therapy ◽  
Tumor Area

AbstractWe used 3D printed-breast surgical guides (3DP-BSG) to designate the original tumor area from the pre-treatment magnetic resonance imaging (MRI) during breast-conserving surgery (BCS) in breast cancer patients who received neoadjuvant systemic therapy (NST). Targeting the original tumor area in such patients using conventional localization techniques is difficult. For precise BCS, a method that marks the tumor area found on MRI directly to the breast is needed. In this prospective study, patients were enrolled for BCS after receiving NST. Partial resection was performed using a prone/supine MRI-based 3DP-BSG. Frozen biopsies were analyzed to confirm clear tumor margins. The tumor characteristics, pathologic results, resection margins, and the distance between the tumor and margin were analyzed. Thirty-nine patients were enrolled with 3DP-BSG for BCS. The median nearest distance between the tumor and the resection margin was 3.9 cm (range 1.2–7.8 cm). Frozen sections showed positive margins in 4/39 (10.3%) patients. Three had invasive cancers, and one had carcinoma in situ; all underwent additional resection. Final pathology revealed clear margins. After 3-year surveillance, 3/39 patients had recurrent breast cancer. With 3DP-BSG for BCS in breast cancer patients receiving NST, the original tumor area can be identified and marked directly on the breast, which is useful for surgery. Trial Registration: Clinical Research Information Service (CRIS) Identifier Number: KCT0002272. First registration number and date: No. 1 (27/04/2016).

scholarly journals Assessment of Aggressiveness of Breast Cancer Using Simultaneous 18F-FDG-PET and DCE-MRI

2016 ◽  
Vol 41 (8) ◽  
pp. e355-e361 ◽  
Author(s):  
Nathaniel E. Margolis ◽  
Linda Moy ◽  
Eric E. Sigmund ◽  
Melanie Freed ◽  
Jason McKellop ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Fdg Pet ◽  
Dce Mri ◽  
18F Fdg

Abstract P6-15-12: A functional approach to the molecular basis of neoadjuvant treatment response in breast cancer

2018 ◽  
Author(s):  
P Zamora Auñón ◽  
A Zapater-Moros ◽  
L Trilla-Fuertes ◽  
A Gamez-Pozo ◽  
G Prado-Vázquez ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Response ◽  
Molecular Basis ◽  
Neoadjuvant Treatment ◽  
Functional Approach

scholarly journals Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results

2007 ◽  
Vol 25 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Thomas E. Yankeelov ◽  
Martin Lepage ◽  
Anuradha Chakravarthy ◽  
Elizabeth E. Broome ◽  
Kenneth J. Niermann ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Response ◽  
Human Breast Cancer ◽  
Human Breast ◽  
Dce Mri ◽  
Adc Mapping ◽  
Monitor Treatment Response ◽  
Initial Results

scholarly journals Differentiation of breast tuberculosis and breast cancer using diffusion-weighted, T2-weighted and dynamic contrast-enhanced magnetic resonance imaging

2018 ◽  
Vol 22 (2) ◽  
Author(s):  
Dibuseng P. Ramaema ◽  
Richard J. Hift
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Adc Value ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Diffusion Weighted ◽  
Breast Tuberculosis ◽  
Contrast Enhanced

Background: The use of multi-parametric magnetic resonance imaging (MRI) in the evaluation of breast tuberculosis (BTB).Objectives: To evaluate the value of diffusion-weighted imaging (DWI), T2-weighted (T2W) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating breast cancer (BCA) from BTB.Method: We retrospectively studied images of 17 patients with BCA who had undergone preoperative MRI and 6 patients with pathologically proven BTB who underwent DCE-MRI during January 2014 to January 2015.Results: All patients were female, with the age range of BTB patients being 23–43 years and the BCA patients being 31–74 years. Breast cancer patients had a statistically significant lower mean apparent diffusion coefficient (ADC) value (1072.10 +/- 365.14), compared to the BTB group (1690.77 +/- 624.05, p = 0.006). The mean T2-weighted signal intensity (T2SI) was lower for the BCA group (521.56 +/- 233.73) than the BTB group (787.74 +/- 196.04, p = 0.020). An ADC mean cut-off value of 1558.79 yielded 66% sensitivity and 94% specificity, whilst the T2SI cut-off value of 790.20 yielded 83% sensitivity and 83% specificity for differentiating between BTB and BCA. The homogeneous internal enhancement for focal mass was seen in BCA patients only.Conclusion: Multi-parametric MRI incorporating the DWI, T2W and DCE-MRI may be a useful tool to differentiate BCA from BTB.

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