Literature DB >> 31938940

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

Anna Rotili1, Rubina Manuela Trimboli2, Silvia Penco3, Filippo Pesapane3,4, Priyan Tantrige5, Enrico Cassano3, Francesco Sardanelli2,6.   

Abstract

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, χ2, 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. Per-breast 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.

Entities:  

Keywords:  Breast neoplasms; Diffusion magnetic resonance imaging; Early detection of cancer; Observer variation; Sensitivity and specificity

Year:  2020        PMID: 31938940     DOI: 10.1007/s10549-019-05519-y

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  10 in total

1.  Breast cancer screening: in the era of personalized medicine, age is just a number.

Authors:  Andrea Cozzi; Simone Schiaffino; Paolo Giorgi Rossi; Francesco Sardanelli
Journal:  Quant Imaging Med Surg       Date:  2020-12

2.  Radiomic analysis of HTR-DCE MR sequences improves diagnostic performance compared to BI-RADS analysis of breast MR lesions.

Authors:  Saskia Vande Perre; Loïc Duron; Audrey Milon; Asma Bekhouche; Daniel Balvay; Francois H Cornelis; Laure Fournier; Isabelle Thomassin-Naggara
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

3.  Emerging Techniques Bring Diffusion-weighted Imaging of the Breast into Focus.

Authors:  Savannah C Partridge
Journal:  Radiology       Date:  2020-08-25       Impact factor: 11.105

4.  MRI-guided vacuum-assisted breast biopsy: experience of a single tertiary referral cancer centre and prospects for the future.

Authors:  Silvia Penco; Anna Rotili; Filippo Pesapane; Chiara Trentin; Valeria Dominelli; Angela Faggian; Mariagiorgia Farina; Irene Marinucci; Anna Bozzini; Maria Pizzamiglio; Anna Maria Ierardi; Enrico Cassano
Journal:  Med Oncol       Date:  2020-03-27       Impact factor: 3.064

5.  Diffusion-Weighted Magnetic Resonance Imaging for Breast Cancer Screening in High-Risk Women: Design and Imaging Protocol of a Prospective Multicenter Study in Korea.

Authors:  Hee Jung Shin; Su Hyun Lee; Vivian Youngjean Park; Jung Hyun Yoon; Bong Joo Kang; Bo La Yun; Tae Hee Kim; Eun Sook Ko; Boo Kyung Han; A Jung Chu; Seo Young Park; Hak Hee Kim; Woo Kyung Moon
Journal:  J Breast Cancer       Date:  2021-04       Impact factor: 3.588

Review 6.  [Diffusion-Weighted Imaging as a Stand-Alone Breast Imaging Modality].

Authors:  Hee Jung Shin; Su Hyun Lee; Woo Kyung Moon
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-01-31

7.  Performance of abbreviated protocols versus unenhanced MRI in detecting occult breast lesions of mammography in patients with dense breasts.

Authors:  Peipei Chen; Guangrui Shao; Baijie Li; Huikun Zhang; Juan Xiao; Suhong Zhao
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

8.  Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions.

Authors:  Petra Mürtz; Mark Tsesarskiy; Alois M Sprinkart; Wolfgang Block; Oleksandr Savchenko; Julian A Luetkens; Ulrike Attenberger; Claus C Pieper
Journal:  Eur Radiol Exp       Date:  2022-09-29

9.  Diagnostic accuracy of contrast-enhanced spectral mammography for breast lesions: A systematic review and meta-analysis.

Authors:  Matteo Basilio Suter; Filippo Pesapane; Giorgio Maria Agazzi; Tania Gagliardi; Olga Nigro; Anna Bozzini; Francesca Priolo; Silvia Penco; Enrico Cassano; Claudio Chini; Alessandro Squizzato
Journal:  Breast       Date:  2020-06-10       Impact factor: 4.380

Review 10.  Imaging diagnosis of metastatic breast cancer.

Authors:  Filippo Pesapane; Kate Downey; Anna Rotili; Enrico Cassano; Dow-Mu Koh
Journal:  Insights Imaging       Date:  2020-06-16
  10 in total

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