Literature DB >> 30788247

3D-printed breast phantom for multi-purpose and multi-modality imaging.

Yaoyao He1, Yulin Liu2, Brandon A Dyer3, John M Boone4, Shanshan Liu5, Tiao Chen1,2, Fenglian Zheng1, Ye Zhu1, Yong Sun1, Yi Rong3, Jianfeng Qiu1.   

Abstract

BACKGROUND: Breast imaging technology plays an important role in breast cancer planning and treatment. Recently, three-dimensional (3D) printing technology has become a trending issue in phantom constructions for medical applications, with its advantages of being customizable and cost-efficient. However, there is no current practice in the field of multi-purpose breast phantom for quality control (QC) in multi-modalities imaging. The purpose of this study was to fabricate a multi-purpose breast phantom with tissue-equivalent materials via a 3D printing technique for QC in multi-modalities imaging.
METHODS: We used polyvinyl chloride (PVC) based materials and a 3D printing technique to construct a breast phantom. The phantom incorporates structures imaged in the female breast such as microcalcifications, fiber lesions, and tumors with different sizes. Moreover, the phantom was used to assess the sensitivity of lesion detection, depth resolution, and detectability thresholds with different imaging modalities. Phantom tissue equivalent properties were determined using computed tomography (CT) attenuation [Hounsfield unit (HU)] and magnetic resonance imaging (MRI) relaxation times.
RESULTS: The 3D-printed breast phantom had an average background value of 36.2 HU, which is close to that of glandular breast tissue (40 HU). T1 and T2 relaxation times had an average relaxation time of 206.81±17.50 and 20.22±5.74 ms, respectively. Mammographic imaging had improved detection of microcalcification compared with ultrasound and MRI with multiple sequences [T1WI, T2WI and short inversion time inversion recovery (STIR)]. Soft-tissue lesion detection and cylindrical tumor contrast were superior with mammography and MRI compared to ultrasound. Hemispherical tumor detection was similar regardless of the imaging modality used.
CONCLUSIONS: We developed a multi-purpose breast phantom using a 3D printing technique and determined its value for multi-modal breast imaging studies.

Entities:  

Keywords:  3D printing; Breast phantom; magnetic resonance imaging (MRI); mammography; polyvinyl chloride (PVC); ultrasound

Year:  2019        PMID: 30788247      PMCID: PMC6351809          DOI: 10.21037/qims.2019.01.05

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  61 in total

1.  A simple and realistic tissue-equivalent breast phantom for MRI.

Authors:  G P Liney; D J Tozer; L W Turnbull
Journal:  J Magn Reson Imaging       Date:  1999-12       Impact factor: 4.813

2.  Diagnosis of breast cancer: contribution of US as an adjunct to mammography.

Authors:  H M Zonderland; E G Coerkamp; J Hermans; M J van de Vijver; A E van Voorthuisen
Journal:  Radiology       Date:  1999-11       Impact factor: 11.105

3.  How good is the ACR accreditation phantom for assessing image quality in digital mammography?

Authors:  Walter Huda; Anthony M Sajewicz; Kent M Ogden; Ernest M Scalzetti; David R Dance
Journal:  Acad Radiol       Date:  2002-07       Impact factor: 3.173

4.  Tissue-mimicking oil-in-gelatin dispersions for use in heterogeneous elastography phantoms.

Authors:  E L Madsen; G R Frank; T A Krouskop; T Varghese; F Kallel; J Ophir
Journal:  Ultrason Imaging       Date:  2003-01       Impact factor: 1.578

5.  Dose reduction in full-field digital mammography: an anthropomorphic breast phantom study.

Authors:  S Obenauer; K-P Hermann; E Grabbe
Journal:  Br J Radiol       Date:  2003-07       Impact factor: 3.039

6.  Rapid 3-dimensional prototyping for surgical repair of maxillofacial fractures: a technical note.

Authors:  Jon D Wagner; Bret Baack; George A Brown; James Kelly
Journal:  J Oral Maxillofac Surg       Date:  2004-07       Impact factor: 1.895

7.  Polyacrylamide gel as an acoustic coupling medium for focused ultrasound therapy.

Authors:  Adrian F Prokop; Shahram Vaezy; Misty L Noble; Peter J Kaczkowski; Roy W Martin; Lawrence A Crum
Journal:  Ultrasound Med Biol       Date:  2003-09       Impact factor: 2.998

8.  Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations.

Authors:  Thomas M Kolb; Jacob Lichy; Jeffrey H Newhouse
Journal:  Radiology       Date:  2002-10       Impact factor: 11.105

9.  The application of rapid prototyping techniques in cranial reconstruction and preoperative planning in neurosurgery.

Authors:  Adolf Müller; Kartik G Krishnan; Eberhard Uhl; Gerson Mast
Journal:  J Craniofac Surg       Date:  2003-11       Impact factor: 1.046

10.  Mammographic screening and mammographic patterns.

Authors:  N Day; R Warren
Journal:  Breast Cancer Res       Date:  2000-06-07       Impact factor: 6.466

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  5 in total

1.  Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.

Authors:  Stefan Stryker; Anuj J Kapadia; Joel A Greenberg
Journal:  Med Phys       Date:  2021-12-01       Impact factor: 4.071

2.  Rehearsal simulation to determine the size of device for left atrial appendage occlusion using patient-specific 3D-printed phantoms.

Authors:  Il-Young Oh; Eun Ju Chun; Namkug Kim; Dayeong Hong; Sojin Moon; Youngjin Cho
Journal:  Sci Rep       Date:  2022-05-11       Impact factor: 4.996

3.  Development of patient-specific 3D-printed breast phantom using silicone and peanut oils for magnetic resonance imaging.

Authors:  Rooa Sindi; Yin How Wong; Chai Hong Yeong; Zhonghua Sun
Journal:  Quant Imaging Med Surg       Date:  2020-06

Review 4.  Applications of 3D printing in breast cancer management.

Authors:  Arpine Galstyan; Michael J Bunker; Fluvio Lobo; Robert Sims; James Inziello; Jack Stubbs; Rita Mukhtar; Tatiana Kelil
Journal:  3D Print Med       Date:  2021-02-09

5.  Development of a CT imaging phantom of anthromorphic lung using fused deposition modeling 3D printing.

Authors:  Dayeong Hong; Sangwook Lee; Guk Bae Kim; Sang Min Lee; Namkug Kim; Joon Beom Seo
Journal:  Medicine (Baltimore)       Date:  2020-01       Impact factor: 1.817

  5 in total

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