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Breast-lesion assessment using amide proton transfer-weighted imaging and dynamic contrast-enhanced MR imaging Cover

Breast-lesion assessment using amide proton transfer-weighted imaging and dynamic contrast-enhanced MR imaging

Open Access
|Nov 2023

Figures & Tables

FIGURE 1.

Flowchart of patient selection.
Flowchart of patient selection.

FIGURE 2.

Magnetic resonance imaging (MRI) from a 42-year-old woman with invasive breast carcinoma. (A) DWI = diffusion-weighted imaging (B) apparent diffusion coefficient (ADC) (C) dynamic contrast-enhanced (DCE) (D) The amide proton transfer-weighted imaging (APTWI) pseudo-color image was merged with the DCE images and the APT value was 3.9%. (E) The type of time-intensity curves (TIC) was plateau.
Magnetic resonance imaging (MRI) from a 42-year-old woman with invasive breast carcinoma. (A) DWI = diffusion-weighted imaging (B) apparent diffusion coefficient (ADC) (C) dynamic contrast-enhanced (DCE) (D) The amide proton transfer-weighted imaging (APTWI) pseudo-color image was merged with the DCE images and the APT value was 3.9%. (E) The type of time-intensity curves (TIC) was plateau.

FIGURE 3.

Magnetic resonance imaging (MRI) from a 26-year-old woman with intraductal papilloma. (A) Diffusion-weighted imaging (DWI); (B) apparent diffusion coefficient (ADC); (C) dynamic contrast-enhanced (DCE); (D) the amide proton transfer-weighted imaging (APTWI) pseudo-color image was merged with the DCE images and the APT value was 1.6%; (E) the type of time-intensity curves (TIC) was persistent.
Magnetic resonance imaging (MRI) from a 26-year-old woman with intraductal papilloma. (A) Diffusion-weighted imaging (DWI); (B) apparent diffusion coefficient (ADC); (C) dynamic contrast-enhanced (DCE); (D) the amide proton transfer-weighted imaging (APTWI) pseudo-color image was merged with the DCE images and the APT value was 1.6%; (E) the type of time-intensity curves (TIC) was persistent.

FIGURE 4.

The graph displays ROC curves to evaluate the usefulness of various parameters for differentiating between malignant and benign lesions.
The graph displays ROC curves to evaluate the usefulness of various parameters for differentiating between malignant and benign lesions.

Summary of patient characteristics

Benign lesions (n = 14)Malignant lesions (n = 28)
Age (years)35 ± 14 (13–68)49 ± 12 (30–77)
Largest diameter (cm)2.19 ± 2.403.31 ± 1.25
HistologyFibroadenoma (n = 7)Invasive breast carcinoma (n = 24)
Juvenile fibroadenoma (n = 1)Ductal carcinoma in situ (n = 4)
Adenosis (n = 2)
Fibroadenoma + adenosis (n = 2)
Intraductal papilloma (n = 1)
Benign phyllodes tumor (n = 1)

Clinical and pathological data of breast cancer

VariableMalignant breast tumors (n = 28)
Tumor diameter
  < 2 cm3 (10.71)
  ≥ 2 cm25 (89.29)
Metastatic status of axillary lymph node15 (53.57)
Calcification16 (57.14)
Grade of IBC (N, %)
  Grade I1 (4.17)
  Grade II12 (50)
  Grade III11 (45.83)
Receptor status (N, %)
  ER+20 (71.43)
  PR+20 (71.43)
  HER-2+9 (32.14)
  Ki67+25 (89.29)

ROC analysis of the performance in separating breast cancer from benign lesions using various criteria and techniques alone or in combination

Multi parametersCutoffSensitivitySpecificityAUC95%CI
Parameters
  APT value> 2.3585.71%92.86%0.9150.786–0.978
  TIC> 182.14%78.57%0.8150.665–0.918
  ADC value≤ 1.2689.29%92.86%0.8780.739–0.958
Methods
  ADC+APTWI/85.71%96.43%0.9210.795–0.982
  ADC+DCE/71.43%89.29%0.9160.788–0.979
  DCE+APTWI/78.57%92.86%0.9360.816–0.988

Imaging protocol parameters

APTwDWIDCE
TR [ms]550063564
TE [ms]9842
Field of views [mm2]120 × 120340 × 309260 × 340
Voxel size1.9 × 2.0 × 72.7 × 2.3 × 40.9 × 0.9 × 3.5
Flip angle909011
Matrix (mm2)64 × 60128 × 133280× 368
Reconstructed voxel size0.94 × 0.94 × 70.97 × 0.97 × 40.61 × 0.61 × 3.5
b-value [s/mm2]NA0,50,800NA
Bandwidth [pixel/Hz]406.923.1783.2
Scan duration5 min 03 s2 min 14 s7 min 44 s

Comparison of different parameters between benign lesions and malignant lesions

Measurement indexBenign lesions (n = 14)Malignant lesions (n = 28)P
APT value2.01 ± 0.513.18 ± 1.07< 0.001
Type of TIC < 0.001
  I11(78.6%)5(17.9%)
  II3(21.4%)20(71.4%)
  III03(10.7%)
ADC value1.64 ± 0.411.13 ± 0.36< 0.001
DOI: https://doi.org/10.2478/raon-2023-0051 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 446 - 454
Submitted on: May 23, 2023
Accepted on: Sep 1, 2023
Published on: Nov 30, 2023
Published by: Association of Radiology and Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Lulu Zhuang, Chun Lian, Zehao Wang, Ximin Zhang, Zhigang Wu, Rong Huang, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.