Literature DB >> 30647080

Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).

Habib Rahbar1, Zheng Zhang2, Thomas L Chenevert3, Justin Romanoff2, Averi E Kitsch4, Lucy G Hanna2, Sara M Harvey5, Linda Moy6, Wendy B DeMartini7, Basak Dogan8, Wei T Yang8, Lilian C Wang9, Bonnie N Joe10, Karen Y Oh11, Colleen H Neal3, Elizabeth S McDonald12, Mitchell D Schnall12, Constance D Lehman13, Christopher E Comstock14, Savannah C Partridge4.   

Abstract

PURPOSE: Conventional breast MRI is highly sensitive for cancer detection but prompts some false positives. We performed a prospective, multicenter study to determine whether apparent diffusion coefficients (ADCs) from diffusion-weighted imaging (DWI) can decrease MRI false positives.Experimental Design: A total of 107 women with MRI-detected BI-RADS 3, 4, or 5 lesions were enrolled from March 2014 to April 2015. ADCs were measured both centrally and at participating sites. ROC analysis was employed to assess diagnostic performance of centrally measured ADCs and identify optimal ADC thresholds to reduce unnecessary biopsies. Lesion reference standard was based on either definitive biopsy result or at least 337 days of follow-up after the initial MRI procedure.
RESULTS: Of 107 women enrolled, 67 patients (median age 49, range 24-75 years) with 81 lesions with confirmed reference standard (28 malignant, 53 benign) and evaluable DWI were analyzed. Sixty-seven of 81 lesions were BI-RADS 4 (n = 63) or 5 (n = 4) and recommended for biopsy. Malignancies exhibited lower mean in centrally measured ADCs (mm2/s) than benign lesions [1.21 × 10-3 vs.1.47 × 10-3; P < 0.0001; area under ROC curve = 0.75; 95% confidence interval (CI) 0.65-0.84]. In centralized analysis, application of an ADC threshold (1.53 × 10-3 mm2/s) lowered the biopsy rate by 20.9% (14/67; 95% CI, 11.2%-31.2%) without affecting sensitivity. Application of a more conservative threshold (1.68 × 10-3 mm2/s) to site-measured ADCs reduced the biopsy rate by 26.2% (16/61) but missed three cancers.
CONCLUSIONS: DWI can reclassify a substantial fraction of suspicious breast MRI findings as benign and thereby decrease unnecessary biopsies. ADC thresholds identified in this trial should be validated in future phase III studies. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 30647080      PMCID: PMC6420847          DOI: 10.1158/1078-0432.CCR-18-2967

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  38 in total

1.  Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions.

Authors:  K Pinker; H Bickel; T H Helbich; S Gruber; P Dubsky; U Pluschnig; M Rudas; Z Bago-Horvath; M Weber; S Trattnig; W Bogner
Journal:  Eur Radiol       Date:  2013-03-16       Impact factor: 5.315

Review 2.  Diffusion-weighted imaging in cancer: physical foundations and applications of restriction spectrum imaging.

Authors:  Nathan S White; Carrie McDonald; Carrie R McDonald; Niky Farid; Josh Kuperman; David Karow; Natalie M Schenker-Ahmed; Hauke Bartsch; Rebecca Rakow-Penner; Dominic Holland; Ahmed Shabaik; Atle Bjørnerud; Tuva Hope; Jona Hattangadi-Gluth; Michael Liss; J Kellogg Parsons; Clark C Chen; Steve Raman; Daniel Margolis; Robert E Reiter; Leonard Marks; Santosh Kesari; Arno J Mundt; Christopher J Kane; Christopher J Kaine; Bob S Carter; William G Bradley; Anders M Dale
Journal:  Cancer Res       Date:  2014-09-01       Impact factor: 12.701

3.  Auditing a breast MRI practice: performance measures for screening and diagnostic breast MRI.

Authors:  Bethany L Niell; Sara C Gavenonis; Tina Motazedi; Jessica Cott Chubiz; Elkan P Halpern; Elizabeth A Rafferty; Janie M Lee
Journal:  J Am Coll Radiol       Date:  2014-04-29       Impact factor: 5.532

4.  Multicenter surveillance of women at high genetic breast cancer risk using mammography, ultrasonography, and contrast-enhanced magnetic resonance imaging (the high breast cancer risk italian 1 study): final results.

Authors:  Francesco Sardanelli; Franca Podo; Filippo Santoro; Siranoush Manoukian; Silvana Bergonzi; Giovanna Trecate; Daniele Vergnaghi; Massimo Federico; Laura Cortesi; Stefano Corcione; Sandro Morassut; Cosimo Di Maggio; Anna Cilotti; Laura Martincich; Massimo Calabrese; Chiara Zuiani; Lorenzo Preda; Bernardo Bonanni; Luca A Carbonaro; Alma Contegiacomo; Pietro Panizza; Ernesto Di Cesare; Antonella Savarese; Marcello Crecco; Daniela Turchetti; Maura Tonutti; Paolo Belli; Alessandro Del Maschio
Journal:  Invest Radiol       Date:  2011-02       Impact factor: 6.016

Review 5.  Meta-analysis of pre-operative magnetic resonance imaging (MRI) and surgical treatment for breast cancer.

Authors:  Nehmat Houssami; Robin M Turner; Monica Morrow
Journal:  Breast Cancer Res Treat       Date:  2017-06-06       Impact factor: 4.872

6.  Triple-modality screening trial for familial breast cancer underlines the importance of magnetic resonance imaging and questions the role of mammography and ultrasound regardless of patient mutation status, age, and breast density.

Authors:  Christopher C Riedl; Nikolaus Luft; Clemens Bernhart; Michael Weber; Maria Bernathova; Muy-Kheng M Tea; Margaretha Rudas; Christian F Singer; Thomas H Helbich
Journal:  J Clin Oncol       Date:  2015-02-23       Impact factor: 44.544

7.  Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS).

Authors:  M O Leach; C R M Boggis; A K Dixon; D F Easton; R A Eeles; D G R Evans; F J Gilbert; I Griebsch; R J C Hoff; P Kessar; S R Lakhani; S M Moss; A Nerurkar; A R Padhani; L J Pointon; D Thompson; R M L Warren
Journal:  Lancet       Date:  2005 May 21-27       Impact factor: 79.321

8.  Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging.

Authors:  Yong Guo; You-Quan Cai; Zu-Long Cai; Yuan-Gui Gao; Ning-Yu An; Lin Ma; Srikanth Mahankali; Jia-Hong Gao
Journal:  J Magn Reson Imaging       Date:  2002-08       Impact factor: 4.813

9.  MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies.

Authors:  Claudio Spick; Katja Pinker-Domenig; Margaretha Rudas; Thomas H Helbich; Pascal A Baltzer
Journal:  Eur Radiol       Date:  2014-04-05       Impact factor: 5.315

10.  Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions.

Authors:  Xin Chen; Wen-ling Li; Yi-li Zhang; Qian Wu; You-min Guo; Zhi-lan Bai
Journal:  BMC Cancer       Date:  2010-12-29       Impact factor: 4.430

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  26 in total

1.  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

2.  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

3.  The impeded diffusion fraction quantitative imaging assay demonstrated in multi-exponential diffusion phantom and prostate cancer.

Authors:  Dariya I Malyarenko; Scott D Swanson; Sean D McGarry; Peter S LaViolette; Thomas L Chenevert
Journal:  Magn Reson Med       Date:  2021-11-14       Impact factor: 4.668

4.  Breast density is strongly associated with multiparametric magnetic resonance imaging biomarkers and pro-tumorigenic proteins in situ.

Authors:  Peter Lundberg; Mikael F Forsgren; Jens Tellman; Johan Kihlberg; Anna Rzepecka; Charlotta Dabrosin
Journal:  Br J Cancer       Date:  2022-09-22       Impact factor: 9.075

5.  Can DWI provide additional value to Kaiser score in evaluation of breast lesions.

Authors:  Yongyu An; Guoqun Mao; Weiqun Ao; Fan Mao; Hongxia Zhang; Yougen Cheng; Guangzhao Yang
Journal:  Eur Radiol       Date:  2022-03-31       Impact factor: 7.034

6.  Factors Affecting Image Quality and Lesion Evaluability in Breast Diffusion-weighted MRI: Observations from the ECOG-ACRIN Cancer Research Group Multisite Trial (A6702).

Authors:  Jennifer G Whisenant; Justin Romanoff; Habib Rahbar; Averi E Kitsch; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak E Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Lisa J Wilmes; Nola M Hylton; Karen Y Oh; Luminita A Tudorica; Colleen H Neal; Dariya I Malyarenko; Elizabeth S McDonald; Christopher E Comstock; Thomas E Yankeelov; Thomas L Chenevert; Savannah C Partridge
Journal:  J Breast Imaging       Date:  2020-12-24

7.  Diffusion-weighted Imaging Allows for Downgrading MR BI-RADS 4 Lesions in Contrast-enhanced MRI of the Breast to Avoid Unnecessary Biopsy.

Authors:  Paola Clauser; Barbara Krug; Hubert Bickel; Matthias Dietzel; Katja Pinker; Victor-Frederic Neuhaus; Maria Adele Marino; Marco Moschetta; Nicoletta Troiano; Thomas H Helbich; Pascal A T Baltzer
Journal:  Clin Cancer Res       Date:  2021-01-14       Impact factor: 12.531

8.  Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions.

Authors:  Ghoncheh Amouzandeh; Thomas L Chenevert; Scott D Swanson; Brian D Ross; Dariya I Malyarenko
Journal:  Med Phys       Date:  2022-03-03       Impact factor: 4.506

9.  Mean Apparent Diffusion Coefficient Is a Sufficient Conventional Diffusion-weighted MRI Metric to Improve Breast MRI Diagnostic Performance: Results from the ECOG-ACRIN Cancer Research Group A6702 Diffusion Imaging Trial.

Authors:  Elizabeth S McDonald; Justin Romanoff; Habib Rahbar; Averi E Kitsch; Sara M Harvey; Jennifer G Whisenant; Thomas E Yankeelov; Linda Moy; Wendy B DeMartini; Basak E Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Lisa J Wilmes; Nola M Hylton; Karen Y Oh; Luminita A Tudorica; Colleen H Neal; Dariya I Malyarenko; Christopher E Comstock; Mitchell D Schnall; Thomas L Chenevert; Savannah C Partridge
Journal:  Radiology       Date:  2020-11-17       Impact factor: 11.105

10.  Improving the sensitivity of T 1 contrast-enhanced MRI and sensitive diagnosing tumors with ultralow doses of MnO octahedrons.

Authors:  Lijiao Yang; Lili Wang; Guoming Huang; Xuan Zhang; Lanlan Chen; Ao Li; Jinhao Gao; Zijian Zhou; Lichao Su; Huanghao Yang; Jibin Song
Journal:  Theranostics       Date:  2021-05-08       Impact factor: 11.556

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