Combined application of pharamcokinetic DCE‐MRI and IVIM‐DWI could improve detection efficiency in early diagnosis of ductal carcinoma in situ

Tao, Weijing; Zhang, Hui‐xin; Zhang, Lianmei; Gao, Feng; Huang, Wei; Lu, Yan; Zhu, Yinsu; Bai, Genji

doi:10.1002/acm2.12624

Cited by 15 publications

(9 citation statements)

References 41 publications

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“…However, non-mass DCIS may represent a pitfall for DWI detection [35,36], as in this our false-negative case. Interestingly, Tao et al [37] recently reported on intravoxel incoherent motion, i.e., the new DWI analysis model with more than two b values, to be helpful for the early diagnosis of DCIS, preventing missing malignant diagnosis, and overtreatment of benign lesions. In our study, all but one false negatives were non-mass lesions with a resultant promising and interesting 76% sensitivity of DWI for non-mass cancers.…”

Section: Discussionmentioning

confidence: 99%

Double reading of diffusion-weighted magnetic resonance imaging for breast cancer detection

Rotili

Trimboli

Penco

et al. 2020

Breast Cancer Res Treat

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Purpose To estimate the performance of diffusion-weighted imaging (DWI) for breast cancer detection. Methods Consecutive breast magnetic resonance imaging examinations performed from January to September 2016 were retrospectively evaluated. Examinations performed before/after neoadjuvant therapy, lacking DWI sequences or reference standard were excluded; breasts after mastectomy were also excluded. Two experienced breast radiologists (R1, R2) independently evaluated only DWI. Final pathology or > 1-year follow-up served as reference standard. Mc Nemar, χ 2 , and κ statistics were applied. Results Of 1,131 examinations, 672 (59.4%) lacked DWI sequence, 41 (3.6%) had no reference standard, 30 (2.7%) were performed before/after neoadjuvant therapy, and 10 (0.9%) had undergone bilateral mastectomy. Thus, 378 women aged 49 ± 11 years (mean ± standard deviation) were included, 51 (13%) with unilateral mastectomy, totaling 705 breasts. Perbreast cancer prevalence was 96/705 (13.6%). Per-breast sensitivity was 83/96 (87%, 95% confidence interval 78-93%) for both R1 and R2, 89/96 (93%, 86-97%) for double reading (DR) (p = 0.031); per-lesion DR sensitivity for cancers ≤ 10 mm was 22/31 (71%, 52-86%). Per-breast specificity was 562/609 (93%, 90-94%) for R1, 538/609 (88%, 86-91%) for R2, and 526/609 (86%¸ 83-89%) for DR (p < 0.001). Inter-observer agreement was substantial (κ = 0.736). Acquisition time varied from 3:00 to 6:22 min:s. Per-patient median interpretation time was 46 s (R1) and 51 s (R2). Conclusions DR DWI showed a 93% sensitivity and 88% specificity, with 71% sensitivity for cancers ≤ 10 mm, pointing out a potential for DWI as stand-alone screening method.

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Section: Discussionmentioning

confidence: 99%

Double reading of diffusion-weighted magnetic resonance imaging for breast cancer detection

Rotili

Trimboli

Penco

et al. 2020

Breast Cancer Res Treat

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“…The signal intensity kinetics acquired by DCE-MRI suggest the underlying microvessel density, perfusion, permeability, and the extracellular-extravascular space composition of tumors (Zahra et al, 2007;Bonekamp et al, 2016). DCE-MRI can predict the response to and outcomes of radiotherapy in patients with cervical cancer (Tao et al, 2019). Tao et al reported (2019) that the K trans of high-grade ductal carcinoma in situ of the breast is higher than that of low-grade ductal carcinoma.…”

Section: Discussionmentioning

confidence: 99%

Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images

Lin

Liu

et al. 2020

Front. Bioeng. Biotechnol.

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Purpose: To evaluate the diagnostic value of the combination of whole-tumor dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and whole-lesion texture features based on T2-weighted images for cervical cancer with parametrial invasion. Materials and Methods: Sixty-two patients with cervical cancer (27 with parametrial invasion and 35 without invasion) preoperatively underwent routine MRI and DCE-MRI examinations. DCE-MRI parameters (K trans , K ep , and V e) and texture features (mean, skewness, kurtosis, uniformity, energy, and entropy) based on T2-weighted images were acquired by two observers. All parameters of parametrial invasion and non-invasion were analyzed by one-way analysis of variance. The diagnostic efficiency of significant variables was assessed using receiver operating characteristic analysis. Results: The invasion group of cervical cancer demonstrated significantly higher K trans (0.335 ± 0.050 vs. 0.269 ± 0.079; p < 0.001), lower energy values (0.503 ± 0.093 vs. 0.602 ± 0.087; p < 0.001), and higher entropy values (1.391 ± 0.193 vs. 1.24 ± 0.129; p < 0.001) than those in the non-invasion group. Optimal diagnostic performance [area under curve [AUC], 0.925; sensitivity, 0.935; specificity, 0.829] could be obtained by the combination of K trans , energy, and entropy values. The AUC values of K trans (0.788), energy (0.761), entropy (0.749), the combination of K trans and energy (0.814), the combination of K trans and entropy (0.727), and the combination of energy and entropy (0.619) were lower than those of the combination of K trans , energy, and entropy values. Conclusion: The combination of DCE-MRI and texture analysis is a promising method for diagnosis cervical cancer with parametrial infiltration. Moreover, the combination of K trans , energy, and entropy is more valuable than any one alone, especially in improving diagnostic sensitivity.

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“…In a study of Tao et al [32] made with only DCIS lesions, they found that most middle and high-grade DCIS lesions showed non mass like enhancement so it is hard to be recognized by DWI. They used DCE-MRI and intravoxel incoherent motion DWI (IVIM-DWI) and reduce the misdiagnosis of DCIS.…”

Section: !"#$%Andb(and!/%and#%+and14c-77and="$4%+and7-3and$%+*-5and""...mentioning

confidence: 99%

“…We thought maybe we could hardly find DCIS lesions and ADC and r ADC values were not truly evaluated. Maybe a study using IVIM, DWI must be done and evaluate ADC and r ADC value with this technique [32].…”

Section: !"#$%Andb(and!/%and#%+and14c-77and="$4%+and7-3and$%+*-5and""...mentioning

confidence: 99%

Comparison of apparent diffusion coefficient and relative apparent diffusion coefficient values for differential diagnosis of breast lesions

PARLAK

Yagci

2022

The European Research Journal

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Objectives:The purpose the study was to evaluate the role of diffusion weighted magnetic resonance imaging (DW-MRI) in diagnosis of benign and malignant breast lesions, to calculate a cut-off apparent diffusion coefficient (ADC) value and to explore use of relative ADC (r ADC) for improving sensitivity and specificity of MRI in diagnosis of breast cancer. Methods: This retrospective study based on a cohort of patients who underwent dynamic contrast enhanced (DCE)-MRI having suspicious breast mass by ultrasonography and mammography to whom DWI sequence was added to the routine diagnostic MRI. ADC and r ADC (lesion/normal breast tissue) values of breast masses were calculated. The threshold ADC values used to differentiate benign and malignant lesions were determined using receiver operating characteristic analysis, sensitivity, specificity, positive predictive value and negative predictive value were calculated. Results: Malignant masses had significantly lower ADC (mean: 1.03 ± 0.36 × 10 -3 mm 2 /s) and r ADC (mean: 0.66 ± 0.22 × 10 -3 mm 2 /s) values than those of benign masses with ADC (mean: 1.50 ± 0.56 × 10−3 mm 2 /s) and r ADC (mean: 0.97 ± 0.31 × 10 -3 mm 2 /s) values, respectively (p = 0.001 for both). The best cut-off value for the lesion ADC was 1.09 × 10 -3 mm 2 /s with a sensitivity of 72.73%, and specificity of 79.17%. The best cut-off value for r ADC was 0.83 with sensitivity of 78.79% and specificity of 70.83%. Conclusions: DWI has high diagnostic value with high sensitivity and specificity differentiating benign and malignant breast lesions. ADC and r ADC values can improve the diagnostic accuracy of differentiating benign and malignant breast lesions.

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Combined application of pharamcokinetic DCE‐MRI and IVIM‐DWI could improve detection efficiency in early diagnosis of ductal carcinoma in situ

Cited by 15 publications

References 41 publications

Double reading of diffusion-weighted magnetic resonance imaging for breast cancer detection

Double reading of diffusion-weighted magnetic resonance imaging for breast cancer detection

Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images

Comparison of apparent diffusion coefficient and relative apparent diffusion coefficient values for differential diagnosis of breast lesions

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