Literature DB >> 30444286

Diffusion-weighted MR imaging increases diagnostic accuracy of breast MR imaging for predicting axillary metastases in breast cancer patients.

Inanc Guvenc1,2, Gary J Whitman2, Ping Liu3, Ceren Yalniz2, Jingfei Ma4, Basak E Dogan2,5.   

Abstract

PURPOSE: To evaluate the incremental value of diffusion-weighted imaging (DWI) to conventional MR imaging (CMRI) to predict ipsilateral metastatic axillary lymphadenopathy in patients with newly diagnosed breast cancer. SUBJECTS AND METHODS: In an IRB approved retrospective single-institution study, newly diagnosed consecutive breast cancer patients with pathological verification of axillary lymph node (LN) status who had undergone breast MR imaging, including DWI as part of their standard MRI between August 1, 2010, and December 31, 2010, were reviewed. Lesion size, tumor grade, and tissue prognostic factors were noted. Ipsilateral axillary LNs were evaluated using morphological criteria on CMRI. Apparent diffusion coefficient (ADC) values of suspicious ipsilateral LNs were obtained and compared with ADC values of contralateral benign axillary LNs. Receiver operating characteristic curves and multivariate logistic regression analyses were used using pathology as the gold standard.
RESULTS: Eighty-five eligible patients were identified, with surgical pathology revealing 34 patients (40%) who had malignant and 51 (60%) had benign ipsilateral axillae. The sensitivity of CMRI was 79%, with a specificity of 81%, a positive predictive value (PPV) of 65%, and a negative predictive value (NPV) of 89%. On DWI, the mean ADC value was significantly lower for metastatic LNs (0.89 ± 0.18 × 10-3  mm2 /s) than for benign ipsilateral LNs (1.41 ± 0.21 × 10-3  mm2 /s; P < 0.0001). Using a cutoff ADC value of 0.985 × 10-3  mm2 /s, yielded improved sensitivity, specificity, PPV, and NPV of 83%, 98%, 95%, and 93%, respectively.
CONCLUSION: Apparent diffusion coefficient values increase the specificity of CMRI for predicting ipsilateral axillary LN metastases in patients with newly diagnosed breast cancer.
© 2018 Wiley Periodicals, Inc.

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Year:  2018        PMID: 30444286     DOI: 10.1111/tbj.13151

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  3 in total

1.  Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients.

Authors:  Thomas Winther Buus; Kim Sivesgaard; Tanja Linde Fris; Peer Michael Christiansen; Anders Bonde Jensen; Erik Morre Pedersen
Journal:  Eur J Radiol Open       Date:  2020-11-07

2.  Diagnostic Value of Axillary Ultrasound, MRI, and 18F-FDG-PET/ CT in Determining Axillary Lymph Node Status in Breast Cancer Patients.

Authors:  Ayşegül Aktaş; Meryem Günay Gürleyik; Sibel Aydın Aksu; Fugen Aker; Serkan Güngör
Journal:  Eur J Breast Health       Date:  2021-12-30

3.  MRI Findings Suggestive of Metastatic Axillary Lymph Nodes in Patients with Invasive Breast Cancer.

Authors:  Ka Eun Kim; Shin Young Kim; Eun Young Ko
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-12-11
  3 in total

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