Skip to main content

3D printed model for triple negative inflammatory breast cancer



Access to imaging reports and review of the breast imaging directly with a patient with breast cancer helps improve the understanding of disease extent and severity. A 3D printed breast model can further enhance a patient’s understanding and communication with the healthcare team resulting in improved patient comprehension and patient input with reduced treatment decision conflict. Furthermore, 3D printed models can facilitate training of residents and fellows involved in the diagnosis and treatment management of breast cancer.

Case presentation

We present a 3D printed breast tumor model segmented from positron electron tomography/computed tomography and fabricated via desktop vat polymerization as proof of concept for treatment planning for a patient diagnosed with triple negative inflammatory breast carcinoma.


We illustrate benefits and indications for 3D printing in the management of breast cancer and specifically inflammatory breast cancer in this case. Fabrication and implementation of 3D printed models enhances patient’s understanding and communication with the healthcare team regarding their condition, treatment options and anticipated outcomes. It provides personalized treatment planning by examining patient-specific pathology and the anatomic spatial relationships. Furthermore, 3D printed models facilitate medical education for trainees across disciplines involved in the patient’s care.


Inflammatory breast cancer (IBC) is a rare and aggressive clinical presentation that necessitates a prompt diagnosis with a multidisciplinary treatment approach. Like other invasive breast cancers, diagnosis requires imaging and tissue confirmation [1]. Although improved access to imaging reports and a review of the breast imaging directly with the patient help to improve understanding of the extent of disease, incorporating 3D printed breast models may further enhance a patient’s understanding of their breast cancer diagnosis. Numerous studies now report that patient specific 3D printed anatomical models improve patient understanding of medical conditions and treatment options [2,3,4,5,6]. Utilization of 3D printing in medicine is increasing, and the potential positive clinical implications and interest continue to gain momentum. Numerous applications are demonstrated using 3D printing in breast cancer management including improved understanding of the disease for the patient and the healthcare team reducing treatment decision conflict especially between mastectomy and breast conserving surgery, aid in surgical planning, and intraoperative guidance to optimize the oncological and aesthetic outcomes [2, 7, 8]. Furthermore, 3D printed breast models can be used to facilitate medical education for multidisciplinary trainees from radiology to surgery, oncology, and pathology.

Case presentation

A 29-year-old woman sustained a human bite on her left breast and presented with left breast pain, swelling and drainage after self-treatment with over-the-counter triple antibiotic ointment without improvement (Fig. 1). Her targeted breast ultrasound demonstrated an irregular heterogenous hypoechoic mass with associated vascularity in her left breast at the 12’o’clock position 5 cm from the nipple (Fig. 2). She underwent an ultrasound guided core needle breast biopsy (Fig. 3) which demonstrated carcinoma with squamous differentiation. Her subsequent left breast skin punch biopsy demonstrated invasive carcinoma involving the epidermis and dermis, supporting a diagnosis of invasive ductal carcinoma with focal features of metaplastic squamous cell carcinoma, Nottingham grade 3, which was estrogen, progesterone, and human epidermal growth factor receptor 2 (HER2) negative. Her staging positron emission tomography (PET)/computed tomography (CT) indicated a hypermetabolic 9.5 cm multilobulated centrally necrotic left breast mass with extensive hypermetabolic left axillary level 1 and 2 lymphadenopathy (Fig. 4). There was close approximation with the chest wall without evidence of chest wall invasion. There were also nonenlarged hypermetabolic right axillary lymph nodes, likely related to the recent documented covid vaccination administered in the patient’s right deltoid. The patient was ultimately diagnosed with stage 3C triple negative inflammatory breast carcinoma of her left breast.

Fig. 1
figure 1

Clinical photograph of left breast after sustaining a human bite with erythema, swelling, and skin involvement

Fig. 2
figure 2

Targeted breast ultrasound demonstrates an irregular heterogenous hypoechoic mass with associated vascularity in left breast at the 12’o’clock position 5 cm from the nipple

Fig. 3
figure 3

Ultrasound guided core needle biopsy of the irregular heterogenous hypoechoic mass with associated vascularity in left breast at the 12’o’clock position 5 cm from the nipple

Fig. 4
figure 4

A staging positron emission tomography (PET)/computed tomography (CT) demonstrated a hypermetabolic 9.5 cm multilobulated centrally necrotic left breast mass with (B) extensive hypermetabolic left axillary and retropectoral lymphadenopathy. Nonenlarged hypermetabolic right axillary lymph nodes, were favored to be related to her recent documented COVID-19 vaccine administered in her right deltoid

The CT portion of the PET/CT (Biograph mCT64, Siemens Healthineers, Malvern, PA) was obtained with 1.0 mm slice thickness. The imaging file was downloaded as Digital Imaging and Communications (DICOM) files and imported into DICOM to PRINT® (D2P) (3D Systems, Inc. Rock Hill, SC) for segmentation to construct the 3D models. The skin, muscular chest wall and tumor took approximately 2 h to segment from the CT while referencing the PET data for the tumor. A peg and hole system was added to the model using Geomagic Freeform (3D Systems, Inc. Rock Hill, SC) to generate a complete model consisting of multiple independent components. The files were then exported as Standard Tessellation Language (STL) files, imported into proprietary 3D printing software (PreForm v3.21.0; Formlabs Inc. Somerville, MA), and printed using Formlabs Form 3B desktop 3D printer (Formlabs Inc. Somerville, MA). A life size breast model (Fig. 5) was printed with muscular chest wall including level 1 axillary lymph nodes (544 ml of gray resin), tumor (97 ml of white resin), and skin with ulcerations (154 ml of clear resin) with a total print time of 47 h and 25 min. Approximately 6 additional hours were allocated to postprocessing consisting of washes in isopropyl alcohol bath, post-curing, and support removal.

Fig. 5
figure 5

The breast model was printed with muscular chest wall and level 1 axillary lymph nodes in gray resin, tumor in white resin, and skin with ulceration in clear resin composited together with peg and hole system

The 3D printed patient specific model demonstrates the spatial relationship between the breast tumor to the skin and underlying pectoralis muscles to highlight the tumor-to-breast ratio. The 3D printed model was provided during the consultation to assist with the treatment planning and decision-making process. The model assisted the patient in understanding the extent of disease. The patient completed 4 cycles of neoadjuvant pembrolizumab and chemotherapy of carboplatin and paclitaxel based on the KEYNOTE-522 trial followed by 4 cycles of pembrolizumab and Adriamycin with cyclophosphamide every 3 weeks [9]. After completion of neoadjuvant pembrolizumab and chemotherapy, follow-up PET/CT demonstrated findings compatible with a complete imaging response to treatment with resolved hypermetabolic left breast mass and lymphadenopathy. The left breast wound also improved with cessation of drainage. The patient underwent subsequent left simple mastectomy and left axillary lymph node biopsy. Surgical pathology results demonstrated no residual carcinoma after neoadjuvant pembrolizumab and chemotherapy with negative surgical margins. Three removed lymph nodes were negative for metastasis. The patient underwent adjuvant intensity-modulated radiotherapy of 50 Gy in 25 fractions to left chest wall with 10 Gy boost in 5 treatments to previously involved lymph nodes and mastectomy scar for locoregional control. The patient is doing well at the time of writing on adjuvant pembrolizumab.


The treatment planning and decision-making process for breast cancer is multifactorial and influenced by available information and resources for both the patient and the healthcare team. It has been established that imaging is vital to the diagnosis and treatment planning for patients with breast cancer, including IBC [1]. The patient specific 3D printed breast model derived from medical imaging can serve as an additional aid to enhance patient understanding regarding their own disease as well as the patient-physician communication regarding treatment options. In the presented case, the relevant breast anatomy was segmented from the CT portion of the staging PET/CT while referencing the information provided from the PET scan to ensure accurate tumor segmentation from normal fibroglandular tissue. To the authors’ knowledge, this technique has not been published for 3D printed breast tumor models. Studies by Santiago et al. and Galstyan et al. described techniques of 3D printed breast models segmented from contrast-enhanced breast magnetic resonance imaging (MRI) [2, 7, 8]. The interactive 3D printed model can help overcome potential educational, language and cultural barriers to improve one’s knowledge about their condition and enhance the quality of their decision making. Improved communication between the patient and the healthcare team has been shown to be associated with improved patient care and satisfaction [6, 10, 11]. Manipulation of ultrasound, mammograms, tomosynthesis (3D mammograms), and PET/CT is limited by the 2D display format and may not adequately display the spatial relationship between structures of interest. Patient specific 3D printed breast models segmented from patient’s volumetric data such as CT or MRI can enhance the visualization of the breast and tumor volume, the extent of the tumor and its spatial relationships to important anatomical structures such as the overlying skin, areola, and pectoralis musculature.

Barriers and limitations of 3D printed models include the upfront cost of acquiring a 3D printer, materials, segmentation software, the expertise required for the fabrication process and quality assurance, and the time needed for printing and post-processing. However, 3D printing has become more accessible with desktop vat polymerization technology making it more affordable with a smaller footprint printer while maintaining the high resolution needed for accurate fabrication of complex patient specific anatomy. The multicomponent breast model took approximately 53 h to complete, which occurred during pre-treatment planning and did not affect or delay patient care as the candidates selected for 3D printing are usually complex cases that require preoperative imaging acquisition for thorough diagnosis and treatment planning. With advancement of 3D printing technologies, production time and cost will continue to decrease.


3D printing in breast cancer management is an emerging technology for personalized patient care. The patient specific 3D printed model can be utilized during consultation to provide a personalized visual and tactile representation of the patient’s breast and disease to facilitate the understanding of the condition and treatment options with the healthcare team. The 3D printed model may be used throughout the stages of care from the initial diagnosis and discussion of treatment options between the patient and the healthcare team to determine whether breast-conserving surgery is possible, to preoperative planning and pathologic correlation with the gross surgical specimen. An additional 3D printed model could also be fabricated to depict response to neoadjuvant chemotherapy which can then be reviewed with the patient. The model can also be utilized to improve the understanding and training of the resident and fellows across multiple disciplines who are involved in the patient’s care, particularly at an academic institution. Improved patient care and outcome may result from enhanced patient-physician communication and treatment planning through the use of patient specific 3D printed models. Further studies are needed to investigate how 3D printed models impact patient care and satisfaction, treatment outcomes, and pathologic correlation.

Availability of data and materials

The dataset used in the current study is available from the corresponding author on reasonable request.



Inflammatory breast cancer






Human epidermal growth factor receptor 2


Positron emission tomography


Computed tomography


Digital Imaging and Communications


Standard Tessellation Language


Magnetic Resonance Imaging


  1. Yeh ED, Jacene HA, Bellon JR, Nakhlis F, Birdwell RL, Georgian-Smith D, et al. What radiologists need to know about diagnosis and treatment of inflammatory breast cancer: a multidisciplinary approach. Radiographics. 2013;33(7):2003–17.

    Article  PubMed  Google Scholar 

  2. Santiago L, Adrada BE, Caudle AS, Clemens MW, Black DM, Arribas EM. The role of three-dimensional printing in the surgical management of breast cancer. J Surg Oncol. 2019;120(6):897–902.

    Article  PubMed  Google Scholar 

  3. Wake N, Rosenkrantz AB, Huang R, Park KU, Wysock JS, Taneja SS, et al. Patient-specific 3D printed and augmented reality kidney and prostate cancer models: impact on patient education. 3D Print Med. 2019;5(1):4.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Schmit C, Matsumoto J, Yost K, Alexander A, Ness L, Kurup AN, et al. Impact of a 3D printed model on patients’ understanding of renal cryoablation: a prospective pilot study. Abdom Radiol (NY). 2019;44(1):304–9.

    Article  Google Scholar 

  5. Porpiglia F, Bertolo R, Checcucci E, Amparore D, Autorino R, Dasgupta P, et al. Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists’ and patients’ perception. World J Urol. 2018;36(2):201–7.

    Article  PubMed  Google Scholar 

  6. Bernhard JC, Isotani S, Matsugasumi T, Duddalwar V, Hung AJ, Suer E, et al. Personalized 3D printed model of kidney and tumor anatomy: a useful tool for patient education. World J Urol. 2016;34(3):337–45.

    Article  PubMed  Google Scholar 

  7. Santiago L, Volk RJ, Checka CM, Black D, Lee J, Colen JS, et al. Acceptability of 3D-printed breast models and their impact on the decisional conflict of breast cancer patients: A feasibility study. J Surg Oncol. 2021;123(5):1206–14.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Galstyan A, Bunker MJ, Lobo F, Sims R, Inziello J, Stubbs J, et al. Applications of 3D printing in breast cancer management. 3D Print Med. 2021;7(1):6.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Schmid P, Cortes J, Pusztai L, McArthur H, Kummel S, Bergh J, et al. Pembrolizumab for early triple-negative breast cancer. N Engl J Med. 2020;382(9):810–21.

    Article  CAS  PubMed  Google Scholar 

  10. Teishima J, Takayama Y, Iwaguro S, Hayashi T, Inoue S, Hieda K, et al. Usefulness of personalized three-dimensional printed model on the satisfaction of preoperative education for patients undergoing robot-assisted partial nephrectomy and their families. Int Urol Nephrol. 2018;50(6):1061–6.

    Article  PubMed  Google Scholar 

  11. Siewert B, Brook OR, Hochman M, Eisenberg RL. Impact of communication errors in radiology on patient care, customer satisfaction, and work-flow efficiency. AJR Am J Roentgenol. 2016;206(3):573–9.

    Article  PubMed  Google Scholar 

Download references


The authors are grateful to Steve Morin and Minneapolis Adaptive Design & Engineering (MADE) Program at Minneapolis VA for enabling us to segment the model using their license of DICOM to PRINT® (D2P) (3D Systems, Inc. Rock Hill, SC). The article processing charge for this publication has been funded by an unrestricted grant from Formlabs.



Author information

Authors and Affiliations



Y.H. segmented, 3D printed and post-processed the models, drafted the manuscript, and prepared all figures. N.H. compiled patient data and performed the breast imaging interpretation and biopsy. T.M.T. performed the surgery. All authors reviewed and edited the manuscript. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Yu-Hui Huang.

Ethics declarations

Ethics approval and consent to participate

Not applicable. Patient signed written informed consent to participate in this study.

Consent for publication

Patient and all authors provided consent for the publication.

Competing interests

The authors report no financial conflicts of interest associated with this study.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, YH., Tuttle, T.M. & Hoven, N. 3D printed model for triple negative inflammatory breast cancer. 3D Print Med 8, 32 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: