Literature DB >> 17057064

Operator dependence of physician-performed whole-breast US: lesion detection and characterization.

Wendie A Berg1, Jeffrey D Blume, Jean B Cormack, Ellen B Mendelson.   

Abstract

PURPOSE: To prospectively examine operator dependence of lesion detection, description, and interpretation when experienced breast radiologists perform whole-breast ultrasonography (US).
MATERIALS AND METHODS: Institutional review board approval was obtained for the HIPAA-compliant study. Ten women (aged 19-53 years; mean, 37.4 years; 20 breasts) with numerous known breast lesions consented to participate. Eleven breast radiologists, who passed experience and qualification requirements for a screening breast US trial and consented to participate, scanned both breasts in all participants and documented images of each detected lesion and its size, location, features, palpability, and Breast Imaging Reporting and Data System final assessment. Intraclass correlation coefficients (ICCs) were used to measure agreement on lesion size and location, and kappa statistics were calculated for agreement on features and final assessments compared with consensus.
RESULTS: Eighty-eight unique lesions were identified by at least two investigators (five to 13 lesions per participant). Mean diameter was 6.7 mm (standard error, 0.4; range, 2-22 mm), and eight lesions (9%) were palpable. Of 968 potential detections (88 lesions, 11 investigators), 536 (55%) detections were made. Individual investigators detected between 43 (49%) and 58 (66%) lesions. Larger lesions were more consistently detected: Detection rates were six of 33 lesions (18%) at 3 mm or smaller; 164 of 374 (43.9%) at 3.1-5 mm; 145 of 275 (52.7%) at 5.1-7 mm; 119 of 176 (67.6%) at 7.1-9 mm; 38 of 44 (86%) at 9.1-11 mm; and 64 of 66 (97%) lesions larger than 11 mm (P < .001). ICCs for clockface, distance from nipple, and individual lesion diameter all exceeded 0.7, indicating high reliability. For shape, margins, and final assessments of solid lesions, kappa values were 0.62, 0.67 (substantial agreement), and 0.52 (moderate agreement), respectively. Of 110 detections of consensus cysts 8 mm and smaller, 15 (14%) detections were considered to be of solid lesions by at least one reader.
CONCLUSION: Larger lesions (>11 mm) are most consistently detected, with fewer than half of lesions 5 mm or smaller in mean diameter identified; substantial agreement was found for description of lesion size, location, and key features, and moderate agreement was found for lesion management.

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Mesh:

Year:  2006        PMID: 17057064     DOI: 10.1148/radiol.2412051710

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


  46 in total

1.  Sonoelastographic lesion stiffness: preoperative predictor of the presence of an invasive focus in nonpalpable DCIS diagnosed at US-guided needle biopsy.

Authors:  Nariya Cho; Woo Kyung Moon; Jung Min Chang; Ann Yi; Hye Ryoung Koo; Jeong-Seon Park; In Ae Park
Journal:  Eur Radiol       Date:  2011-03-13       Impact factor: 5.315

2.  Diagnostic accuracy of magnetic resonance imaging and magnetic resonance arthrography of the hip is dependent on specialist training of the radiologist.

Authors:  Ciara M McGuire; Peter MacMahon; Damien P Byrne; Eoin Kavanagh; Kevin J Mulhall
Journal:  Skeletal Radiol       Date:  2011-09-14       Impact factor: 2.199

3.  Three-dimensional shear-wave elastography for differentiating benign and malignant breast lesions: comparison with two-dimensional shear-wave elastography.

Authors:  Ji Hyun Youk; Hye Mi Gweon; Eun Ju Son; Jin Chung; Jeong-Ah Kim; Eun-Kyung Kim
Journal:  Eur Radiol       Date:  2012-12-02       Impact factor: 5.315

Review 4.  Imaging Surveillance After Primary Breast Cancer Treatment.

Authors:  Diana L Lam; Nehmat Houssami; Janie M Lee
Journal:  AJR Am J Roentgenol       Date:  2017-01-11       Impact factor: 3.959

5.  Training the ACRIN 6666 Investigators and effects of feedback on breast ultrasound interpretive performance and agreement in BI-RADS ultrasound feature analysis.

Authors:  Wendie A Berg; Jeffrey D Blume; Jean B Cormack; Ellen B Mendelson
Journal:  AJR Am J Roentgenol       Date:  2012-07       Impact factor: 3.959

6.  Synthetic aperture ultrasound imaging with a ring transducer array: preliminary ex vivo results.

Authors:  Xiaolei Qu; Takashi Azuma; Takeshi Yogi; Shiho Azuma; Hideki Takeuchi; Satoshi Tamano; Shu Takagi
Journal:  J Med Ultrason (2001)       Date:  2016-06-14       Impact factor: 1.314

7.  Can Cut-Off-Values for Tumor Size or Patient Age in Breast Ultrasound Reduce Unnecessary Biopsies or is it all About Bi-rads?- A Retrospective Analysis of 763 Biopsied T1-Sized Lesions.

Authors:  Laura Holzer-Fruehwald; Matthias Meissnitzer; Michael Weber; Stephan Holzer; Klaus Hergan; Christian Weismann
Journal:  Ultrasound Int Open       Date:  2017-09-01

8.  Ultrasound as the Primary Screening Test for Breast Cancer: Analysis From ACRIN 6666.

Authors:  Wendie A Berg; Andriy I Bandos; Ellen B Mendelson; Daniel Lehrer; Roberta A Jong; Etta D Pisano
Journal:  J Natl Cancer Inst       Date:  2015-12-28       Impact factor: 13.506

Review 9.  Cystic breast masses and the ACRIN 6666 experience.

Authors:  Wendie A Berg; Alan G Sechtin; Helga Marques; Zheng Zhang
Journal:  Radiol Clin North Am       Date:  2010-09       Impact factor: 2.303

Review 10.  Supplementary screening sonography in mammographically dense breast: pros and cons.

Authors:  Ji Hyun Youk; Eun-Kyung Kim
Journal:  Korean J Radiol       Date:  2010-10-29       Impact factor: 3.500

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