DWI of the Breast – Possibilities and Limitations

Meyer, Hans‐Jonas; Martin, Marielle; Denecke, Timm

doi:10.1055/a-1775-8572

Cited by 9 publications

(6 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The poorly differentiated CSCC group had a lower D value than the well-moderately differentiated group, probably because of the faster proliferation of cells with higher density, which signi cantly hindered the diffusion of water molecules [25]. With the microcirculation perfusion information excluded, the D value can theoretically re ect the water molecule diffusion more accurately than the ADC value [10]. In this study, the D value exhibited better performance than the ADC value.…”

Section: Discussionmentioning

confidence: 67%

“…It has been proved that APTw may be an useful technique in the diagnosis and differentiation prediction of CSCC [9] . Diffusion weighted imaging (DWI) re ects water molecular diffusion characteristics, which are dependent on multiple factors such as cell density, vascularity, viscosity of extracellular uid, and cell membrane integrity [10]. Apparent diffusion coe cient (ADC) derived from the Gaussian diffusion model is a quantitative parameter of DWI, which has been shown as a possible imaging biomarker for predicting prognosis in many malignancies [11,12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identifying pathological differentiation of cervical squamous cell carcinoma with APTw and IVIM

Zhong-hong

Peng

Lian

et al. 2023

Preprint

View full text Add to dashboard Cite

Background Cervix Squamous cell carcinoma(CSCC) is the most common pathological subtypes of cervix carcinoma(CC). CSCC can be divided into poorly differentiated, moderately differentiated and well-differentiated types. The pathological differentiation is essential for the treatment and prognosis of CSCC. Compared with the well-differentiated CSCC patients, poorly differentiated CSCC patients have poor clinical prognosis. The biopsy is the golden standard for identifying pathological differentiation with the disadvantages including invasive. Therefore, an imaging method is needed to determine the degree of tumor differentiation before surgery. Purpose The objective is to explore APTw and IVIM values in diagnosing the differentiation degree of cervical squamous cell carcinoma (CSCC). Methods APTw was scanned by using 3D Multi-shot TSE for obtaining APT signal intensity (APT SI). IVIM was scanned by using 12 b values (0, 20, 100, 150, 200, 300, 400, 500, 600, 800, 1000 and 1200 s/mm2) to calculate parameters: D, D*, and f. ADC was calculated based on 2 b values (0, 800 s/mm2). The parameters among different groups were compared by t-tests. Diagnostic performance was evaluated with a ROC analysis. Results 56 patients and 30 healthy volunteers were included in study. Patients were divided into: a well-moderately differentiated group (n = 34) and a poorly differentiated group (n = 22). The parameters (APT SI, ADC, D, f) were statistically significantly different between CSCC and normal cervix. APT SI of the CSCC was higher than that of normal cervix (P < 0.001). The ADC, D, and f of the CSCC were lower than those of normal cervix (P < 0.001). Significant differences were found in APT SI and D between the well-moderately differentiated and poorly differentiated group (P < 0.001). Comparing the well-moderately differentiated and poorly differentiated group, AUC of APT SI, D and f were 0.789, 0.775 ,and 0.670, sensitivity were 72.73%, 68.18%, 77.27%, and specificity were 79.41%, 82.35%, 64.71%, respectively (P < 0.05). Conclusion APTw and IVIM can be used to diagnose CSCC and provide accurate quantitative information. Compared with IVIM, APTw has higher diagnostic performance in identifying the differentiation degree of CSCC.

show abstract

Section: Discussionmentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Identifying pathological differentiation of cervical squamous cell carcinoma with APTw and IVIM

Zhong-hong

Peng

Lian

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Diffusion-weighted imaging (DWI) is an MRI imaging technique that can detect the micromovement of water molecules [5,6] and illustrate the tumor tissue with a high signal without the injection of a contrast agent [7,8]. DWIs provide unique information that could be used to characterize breast lesions [9][10][11][12]. As a result, it is now an essential imaging sequence in routine breast MRI examinations [13,14] and in evaluating treatment response in neoadjuvant chemotherapy (NAC) [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Effect of the Phase Encoding Direction on the Image Quality of Breast Diffusion-Weighted Magnetic Resonance Images

Zhao¹,

Li²,

Jiang³

et al. 2023

Preprint

View full text Add to dashboard Cite

Purpose The study aimed to evaluate the effect of reversing the phase encoding direction on the image quality of breast diffusion-weighted (DWI) magnetic resonance images (MRI). Methods A total of 100 patients attending our hospital for MRI breast examinations between February 2022 to July 2022 were enrolled in the study. The patients were randomly divided into the study group and the control group. The patients in the study group were scanned using the posterior-anterior (P-A) phase encoding direction, while those in the control group were scanned using the anterior-posterior (A-P) phase encoding direction. The geometric distortion rate on the axial DWI in relation to the T1-weighted images, the incidence of phase displacement artifacts, and the image signal-to-noise ratio (SNR) of the two groups were analyzed and statistically compared using either the 2 sample t-test or the Chi-square test. Results In the study group, the average breast stretch rate for the craniocaudal diameter was 6.75% for the right breast and 6.92% for the left breast, while the average breast stretch rate for the transverse diameter was 4.14% for the right breast and 3.79% for the left breast. In the control group, the average breast stretch rate in the craniocaudal direction was 13.82% for the right breast and 16.12% for the left breast, while the average stretch rate of the transverse breast diameter was 8.26% for the right breast and 9.56% for the left breast. The deformation rate of the study group was lower than that of the control group (PLength of right breast, PTransverse of right breast, PLength of left breast, PTransverse of left breast< 0.05). The incidence of phase displacement artifacts in the study group was lower than that of the control group (14.0% versus 62.0% p = 0.000 ). Similarly, the incidence of phase displacement artifacts in the study group was significantly lower than that of the control group (P < 0.05). The average SNR in the study group was slightly lower than that of the control group (2.30 versus 2.53, p = 0.278). Conclusion The P-A phase encoding direction provided a better image quality than the A-P phase coding direction, and it could facilitate the detection of breast lesions.

show abstract

“…The ADC cut-off values may be helpful for the precise diagnosis of suspicious enhancing lesions that are classi ed initially as BI-RADS 4 and BI-RADS 5 on breast MRI to avoid any unnecessary intervention [8,10,11]. Moreover, many studies have assessed the value of the ADC cut-off in diagnosing and managing breast lesions [12,13]. However, previous studies have focused more on the mean ADC (ADC mean ).…”

Section: Introductionmentioning

confidence: 99%

Utility of the Minimum Apparent Diffusion Coefficient in Decreasing Unnecessary Biopsy Rates for Suspected Breast Magnetic Resonance Imaging Lesions: A Single-Centre, Retrospective Study

et al. 2023

Preprint

View full text Add to dashboard Cite

Purpose: Apparent diffusion coefficient (ADC) helps identify malignant breast lesions and reduce unnecessary breast biopsies. However, previous research has primarily focused on the mean ADC (ADCmean) rather than the minimum ADC (ADCmin). Therefore, this study aimed to evaluate ADCmin’s ability to decrease unnecessary biopsy rates and determine the threshold of the ADCmin for clinical implementation. Methods: In this single-centre, retrospective study, we included 497 patients with 548 magnetic resonance imaging (MRI)-detected Breast Imaging Reporting and Data System (BI-RADS) 3, 4, or 5 lesions. Using a negative likelihood ratio of 0.1, we selected the ADC value with the highest specificity as the ADC threshold (ADCnl, including ADCnl-min and ADCnl-mean). Diagnostic performance indices were calculated using the receiver operating characteristic curve analysis. Differences in the area under the curves were assessed using the Hanley and McNeil test. Contingency table analysis was employed to compare the biopsy rate reduction efficacy. Results: The ADCmin showed comparable diagnostic performance to the ADCmean. The ADCmin and ADCmean values of 1.39×10−3 mm2/s and 1.52×10−3 mm2/s, respectively, were determined as thresholds. Upon applying the ADCnl-min and ADCnl-mean to the validation cohort, unnecessary biopsies of BI-RADS 4 and 5 lesions were reduced by 26.2% and 26.7%, respectively. The reduction in biopsies did not differ significantly between the ADCnl-min and ADCnl-mean. Conclusion: The ADCmin has the same ability to reduce unnecessary biopsies as the ADCmean. An ADCnl-min of 1.39×10−3 mm2/s or an ADCnl-mean of 1.52×10−3 mm2/s may help avoid one-quarter of unnecessary biopsies classified as BI-RADS 4 and 5 lesions.

show abstract

DWI of the Breast – Possibilities and Limitations

Cited by 9 publications

References 55 publications

Identifying pathological differentiation of cervical squamous cell carcinoma with APTw and IVIM

Identifying pathological differentiation of cervical squamous cell carcinoma with APTw and IVIM

Effect of the Phase Encoding Direction on the Image Quality of Breast Diffusion-Weighted Magnetic Resonance Images

Utility of the Minimum Apparent Diffusion Coefficient in Decreasing Unnecessary Biopsy Rates for Suspected Breast Magnetic Resonance Imaging Lesions: A Single-Centre, Retrospective Study

Contact Info

Product

Resources

About