Diffusion tensor imaging and diffusion-weighted imaging on axillary lymph node status in breast cancer patients

Kurt, Nazmi; Kurt, Busem Binboga; Gulsaran, Ugur; Uslu, Burak; Celik, Ahmet Onur; Süt, Necdet; Taştekin, Ebru; Karabulut, Derya; Tunçbilek, Nermin

doi:10.5152/dir.2022.21460

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…Previous studies have evaluated the characteristics of SLN or ALN status in BC using conventional MRI and radiomics features ( 12 , 26 ), diffusion imaging with different postprocessing models ( 10 - 12 , 27 ), and artificial neural networks ( 28 ). However, to the best of our knowledge, few studies have reported on the clinical value of syMRI coupled with conventional and diffusion-weighted MRI in predicting SLNs metastases for patients with BC.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the added value of synthetic magnetic resonance imaging in predicting sentinel lymph node status in breast cancer

Yang,

Lu,

Tan

et al. 2024

Quant Imaging Med Surg

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Background The noninvasive prediction of sentinel lymph node (SLN) metastasis using quantitative magnetic resonance imaging (MRI), particularly with synthetic MRI (syMRI), is an emerging field. This study aimed to explore the potential added benefits of syMRI over conventional MRI and diffusion-weighted imaging (DWI) in predicting metastases in SLNs. Methods This retrospective study consecutively enrolled 101 patients who were diagnosed with breast cancer (BC) and underwent SLN biopsy from December 2022 to October 2023 at the Affiliated Hospital of Jiangnan University. These patients underwent preoperative MRI including conventional MRI, DWI, and syMRI and were categorized into two groups according to the postoperative pathological results: those with and without metastatic SLNs. MRI morphological features, DWI, and syMRI-derived quantitative parameters of breast tumors were statistically compared between these two groups. Binary logistic regression was used to separately develop predictive models for determining the presence of SLN involvement, with variables that exhibited significant differences being incorporated. The performance of each model was evaluated through receiver operating characteristic (ROC) curve analysis, including the area under the curve (AUC), sensitivity, and specificity. Results Compared to the group of 54 patients with BC but no metastatic SLNs, the group of 47 patients with BC and metastatic SLNs had a significantly larger maximum axis diameter [metastatic SLNs: median 2.40 cm, interquartile range (IQR) 1.50–3.00 cm; no metastatic SLNs: median 1.80 cm, IQR 1.37–2.50 cm; P=0.03], a higher proton density (PD) (78.44±11.92 vs. 69.20±10.63 pu; P<0.001), and a lower apparent diffusion coefficient (ADC) (metastatic SLNs: median 0.91×10 −3 mm 2 /s, IQR 0.79–1.01 mm 2 /s; no metastatic SLNs: median 1.02×10 −3 mm 2 /s, IQR 0.92–1.12 mm 2 /s; P=0.001). Moreover, the prediction model with maximum axis diameter and ADC yielded an AUC of 0.71 [95% confidence interval (CI): 0.618–0.802], with a sensitivity of 78.72% and a specificity of 51.85%; After addition of syMRI-derived PD to the prediction model, the AUC increased significantly to 0.86 (AUC: 0.86 vs. 0.71; 95% CI: 0.778–0.922; P=0.002), with a sensitivity of 80.85% and a specificity of 81.50%. Conclusions Combined with conventional MRI and DWI, syMRI can offer additional value in enhancing the predictive performance of determining SLN status before surgery in patients with BC.

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Section: Discussionmentioning

confidence: 99%

Evaluating the added value of synthetic magnetic resonance imaging in predicting sentinel lymph node status in breast cancer

Yang,

Lu,

Tan

et al. 2024

Quant Imaging Med Surg

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“…The other two studies also added the application of diffusion-weighted imaging (DWI) sequences into their procedures. There are increasing developments in the usage of ADC that add value to the diagnosis 47 and localization of breast cancer 48 , 49 and breast DWI as an essential part of a multiparametric breast MRI is welcome by the European Society of Breast Radiology. 50 Dietzel et al 51 found that DWI can be used as a substitute for the delayed phase in DCE-MRI, shortening the scanning time without losing diagnostic information.…”

Section: Application Of Mri-rfa In Breast Cancer Therapymentioning

confidence: 99%

Magnetic resonance imaging-guided radiofrequency ablation of breast cancer: a current state of the art review

Zhang¹,

Shi²,

Li³

et al. 2024

dir

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With a gradual increase in breast cancer incidence and mortality rates and an urgent need to improve patient prognosis and cosmetology, magnetic resonance imaging (MRI)-guided radiofrequency ablation (RFA) therapy has attracted wide attention as a new treatment method for breast cancer. MRI-RFA results in a higher complete ablation rate and extremely low recurrence and complication rates. Thus, it may be used as an independent treatment for breast cancer or adjuvant to breast-conserving surgery to reduce the extent of breast resection. Furthermore, with MRI guidance, accurate control of RFA can be achieved, and breast cancer treatment can enter a new stage of minimally invasive, safe, and comprehensive therapy. With progress in MR thermometry technology, the applications of MRI are expected to broaden.

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Diffusion tensor imaging: survival analysis prediction in breast cancer patients

Urut,

Karabulut,

Hereklioglu

et al. 2024

Radiologie

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Diffusion tensor imaging and diffusion-weighted imaging on axillary lymph node status in breast cancer patients

Cited by 5 publications

References 29 publications

Evaluating the added value of synthetic magnetic resonance imaging in predicting sentinel lymph node status in breast cancer

Evaluating the added value of synthetic magnetic resonance imaging in predicting sentinel lymph node status in breast cancer

Magnetic resonance imaging-guided radiofrequency ablation of breast cancer: a current state of the art review

Diffusion tensor imaging: survival analysis prediction in breast cancer patients

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