Literature DB >> 30860453

Diffusion-weighted Imaging of Invasive Breast Cancer: Relationship to Distant Metastasis-free Survival.

Jin You Kim1, Jin Joo Kim1, Lee Hwangbo1, Taewoo Kang1, Heeseung Park1.   

Abstract

Background Combined minimum apparent diffusion coefficient (ADC) and ADC difference value may improve the diagnostic performance of breast diffusion-weighted imaging (DWI) compared with mean ADC. Purpose To investigate whether ADC parameters at DWI are associated with distant metastasis-free survival in women with invasive breast cancer. Materials and Methods Between 2013 and 2014, 258 consecutive women (mean age ± standard deviation, 50.9 years ± 10.5; age range, 23-85 years) with newly diagnosed invasive breast cancer who underwent preoperative MRI with DWI were evaluated. All DWI examinations were retrospectively reviewed by two radiologists blinded to clinical information. The mean, minimum, and maximum ADCs were measured by manually placing regions of interest within the lesions, and the ADC difference value (the difference between minimum and maximum ADCs) was calculated to evaluate intratumoral heterogeneity. Cox proportional hazards models were used to determine the associations between ADC parameters and distant metastasis-free survival after adjustment for clinical-pathologic factors. Results In 25 of the 258 women (9.7%), distant metastasis developed at a median follow-up of 51 months. The ADC difference value was higher in women with distant metastasis than in those without distant metastasis (mean, 0.743 × 10-3 mm2/sec vs 0.566 × 10-3 mm2/sec, respectively; P < .001). Multivariable Cox proportional hazards analysis showed that a higher ADC difference value (>0.698 × 10-3 mm2/sec) (hazard ratio [HR], 4.5; 95% confidence interval [CI]: 2.0, 10.0; P < .001), presence of axillary node metastasis (HR, 3.3; 95% CI: 1.2, 9.3; P = .02), and estrogen receptor negativity (HR, 2.6; 95% CI: 1.2, 5.7; P = .02) were associated with poorer distant metastasis-free survival. Conclusion A higher apparent diffusion coefficient difference value at diffusion-weighted imaging is associated with poorer distant metastasis-free survival of women with invasive breast cancer. © RSNA, 2019 See also the editorial by Taourel in this issue.

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Year:  2019        PMID: 30860453     DOI: 10.1148/radiol.2019181706

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

1.  Diffusion-weighted imaging of breast invasive lobular carcinoma: comparison with invasive carcinoma of no special type using a histogram analysis.

Authors:  Seongkyun Jeong; Tae Hee Kim
Journal:  Quant Imaging Med Surg       Date:  2022-01

2.  Early Response to Chemotherapy in Malignant Pleural Mesothelioma Evaluated Using Diffusion-Weighted Magnetic Resonance Imaging: Initial Observations.

Authors:  Sebastian Curcean; Lin Cheng; Simona Picchia; Nina Tunariu; David Collins; Matthew Blackledge; Sanjay Popat; Mary O'Brien; Anna Minchom; Martin O Leach; Dow-Mu Koh
Journal:  JTO Clin Res Rep       Date:  2021-11-02

3.  Diffusion-weighted MRI of estrogen receptor-positive, HER2-negative, node-negative breast cancer: association between intratumoral heterogeneity and recurrence risk.

Authors:  Jin You Kim; Jin Joo Kim; Lee Hwangbo; Ji Won Lee; Nam Kyung Lee; Kyung Jin Nam; Ki Seok Choo; Taewoo Kang; Heeseung Park; Yohan Son; Robert Grimm
Journal:  Eur Radiol       Date:  2019-08-05       Impact factor: 5.315

4.  Imaging characteristics of young age breast cancer (YABC) focusing on pathologic correlation and disease recurrence.

Authors:  Jeongmin Lee; Sung Hun Kim; Bong Joo Kang; Ahwon Lee; Woo-Chan Park; Jinwoo Hwang
Journal:  Sci Rep       Date:  2021-10-12       Impact factor: 4.379

5.  The Preeminent Value of the Apparent Diffusion Coefficient in Assessing High-Risk Factors and Prognosis for Stage I Endometrial Carcinoma Patients.

Authors:  Quan Quan; Hui Peng; Sainan Gong; Jiali Liu; Yunfeng Lu; Rongsheng Chen; Xiaoling Mu
Journal:  Front Oncol       Date:  2022-02-16       Impact factor: 6.244

6.  Characterization of breast cancer subtypes based on quantitative assessment of intratumoral heterogeneity using dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging.

Authors:  Jin Joo Kim; Jin You Kim; Hie Bum Suh; Lee Hwangbo; Nam Kyung Lee; Suk Kim; Ji Won Lee; Ki Seok Choo; Kyung Jin Nam; Taewoo Kang; Heeseung Park
Journal:  Eur Radiol       Date:  2021-08-04       Impact factor: 5.315

7.  Prognostic value of breast MRI characteristics before and during neoadjuvant endocrine therapy in patients with ER+/HER2- breast cancer.

Authors:  Max Aa Ragusi; Gonneke Ao Winter-Warnars; Jelle Wesseling; Sabine C Linn; Regina G Beets-Tan; Bas Hm van der Velden; Sjoerd G Elias; Kenneth Ga Gilhuijs; Claudette E Loo
Journal:  Br J Radiol       Date:  2021-07-01       Impact factor: 3.039

  7 in total

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