Literature DB >> 35914749

Assessment of Neoadjuvant Treatment Response Using Automated Breast Ultrasound in Breast Cancer.

Xiaozhi Dang1, Xin Zhang2, Yi Gao3, Hongping Song4.   

Abstract

Breast imaging techniques are used to assess the tumor response to neoadjuvant treatment (NAT), which is increasingly one of the preferred therapeutic options and increases the rate of breast conservation for breast cancer. Herein, we report a case in which a woman was diagnosed with invasive ductal carcinoma in the left breast and received NAT before surgery. Automated breast ultrasound (AB US) was regularly performed before and during the NAT to evaluate the tumor response to NAT by measuring diameter changes and volume reductions of the tumor. Images showed that the tumor size was significantly reduced and disappeared after 7 cycles of NAT, except for macrocalcification. Postoperative histopathological examination confirmed that there were no residual tumor cells. We found that AB US overcame the limitations of handheld US, such as operator dependence, poor reproducibility and limited field of view, and can be an alternative modality to assess the tumor response of NAT in the absence of magnetic resonance imaging (MRI) instruments.
© 2022 Korean Breast Cancer Society.

Entities:  

Keywords:  Breast Neoplasms; Neoadjuvant Therapy; Treatment Outcome; Ultrasonography

Year:  2022        PMID: 35914749      PMCID: PMC9411026          DOI: 10.4048/jbc.2022.25.e32

Source DB:  PubMed          Journal:  J Breast Cancer        ISSN: 1738-6756            Impact factor:   2.922


INTRODUCTION

Neoadjuvant treatment (NAT) is widely used in breast cancer treatment to induce tumor shrinkage and increase the rate of breast conservation [12]. Tumor size regularly measured by mammography, ultrasound (US) and magnetic resonance imaging (MRI) during NAT and before surgery is necessary to evaluate the tumor response of NAT and is an important consideration in surgical planning [34]. We report a case in which breast cancer response was assessed during NAT with automated breast ultrasound (AB US).

CASE REPORT

A 53-year-old woman accidentally touched a mass in her left breast. Breast ultrasound indicated a 4.5 cm irregular mass, with enlarged ipsilateral axillary lymph nodes. Breast Imaging Reporting and Data System (BI-RADS) category 5 was assigned. The histopathological examination after core needle biopsy revealed an invasive ductal carcinoma of the estrogen receptor-positive and human epidermal growth factor 2-positive subtype and positive axillary lymph nodes. After a multidisciplinary discussion, the patient received NAT, which was an EC-THP regimen (4 cycles of epirubicin/cyclophosphamide followed by 4 cycles of docetaxel/trastuzumab/pertuzumab), before surgery. AB US (Invenia ABUS 2.0, Automated Breast Ultrasound System; GE Healthcare, Wuxi, China) was performed before NAT on August 11, 2020; after 2 cycles on October 09, 2020; after 5 cycles on December 11, 2020; and after 7 cycles on February 10, 2021 to assess the tumor response. Images showed that the tumor size was significantly reduced and disappeared after 7 cycles of NAT, except for macrocalcification (Figure 1). The tumor 3D images from AB US reconstructed by 3D Slicer (Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA) also showed reductions in tumor volume (Figure 2, Supplementary Video 1). After 8 cycles of NAT, the patient underwent surgery. Postoperative histopathological examination confirmed that there were no residual tumor cells in the breast and axillary lymph nodes, indicating pathological complete response (pCR).
Figure 1

Coronal (left) and transverse (right) automated breast US images in a 53-year-old woman with invasive ductal carcinoma of the estrogen receptor–positive and human epidermal growth factor 2–positive subtypes before and during NAT, with macrocalcification in the mass (arrows) as a landmark. (A) Baseline images obtained before NAT showed an irregular mass in the left upper outer breast. The maximal diameter of the mass was 4.5 cm. (B) On images obtained after 2 cycles of NAT, the mass showed a concentric shrinkage pattern. The maximal diameter of the residual mass was 3.1 cm (31% reduction of the initial tumor diameter). (C) On images obtained after 5 cycles of NAT, the maximal diameter of the residual mass was 1.1 cm (76% reduction of the initial tumor diameter). (D) On images obtained after 7 cycles of NAT, the mass disappeared except for macrocalcification. Note: To observe the mass on the same transverse plane to ensure a precise comparison in different cycles, we chose the macrocalcification in the mass as a landmark. The transverse images in (A) and (B) do not show the maximal diameter of the mass. The yellow point indicates the nipple.

NAT = neoadjuvant treatment; LLAT= left lateral.

Figure 2

The 3D volume of tumors from automated breast US images reconstructed by 3D Slicer in the same woman was measured as 26.6 cm3 before neoadjuvant treatment (NAT; purple), 9.5 cm3 (64% volume reduction) after 1 cycle of NAT (yellow), 2.6 cm3 (90% volume reduction) after 2 cycles of NAT (blue), 0.7 cm3 (97% volume reduction) after 3 cycles of NAT (green) and 0.3 cm3 (99% volume reduction) after 5 cycles of NAT (red).

US = ultrasound; NAT = neoadjuvant treatment; S = superior; A = anterior; R = right.

Coronal (left) and transverse (right) automated breast US images in a 53-year-old woman with invasive ductal carcinoma of the estrogen receptor–positive and human epidermal growth factor 2–positive subtypes before and during NAT, with macrocalcification in the mass (arrows) as a landmark. (A) Baseline images obtained before NAT showed an irregular mass in the left upper outer breast. The maximal diameter of the mass was 4.5 cm. (B) On images obtained after 2 cycles of NAT, the mass showed a concentric shrinkage pattern. The maximal diameter of the residual mass was 3.1 cm (31% reduction of the initial tumor diameter). (C) On images obtained after 5 cycles of NAT, the maximal diameter of the residual mass was 1.1 cm (76% reduction of the initial tumor diameter). (D) On images obtained after 7 cycles of NAT, the mass disappeared except for macrocalcification. Note: To observe the mass on the same transverse plane to ensure a precise comparison in different cycles, we chose the macrocalcification in the mass as a landmark. The transverse images in (A) and (B) do not show the maximal diameter of the mass. The yellow point indicates the nipple.

NAT = neoadjuvant treatment; LLAT= left lateral.

The 3D volume of tumors from automated breast US images reconstructed by 3D Slicer in the same woman was measured as 26.6 cm3 before neoadjuvant treatment (NAT; purple), 9.5 cm3 (64% volume reduction) after 1 cycle of NAT (yellow), 2.6 cm3 (90% volume reduction) after 2 cycles of NAT (blue), 0.7 cm3 (97% volume reduction) after 3 cycles of NAT (green) and 0.3 cm3 (99% volume reduction) after 5 cycles of NAT (red).

US = ultrasound; NAT = neoadjuvant treatment; S = superior; A = anterior; R = right.

DISCUSSION

Imaging techniques, such as mammography, US, MRI and positron emission tomography (PET), are important approaches for evaluating residual tumor size during NAT for breast cancer, [35]. By assessing the tumor response, these techniques not only guide the selection of treatment regimens and reduce the unnecessary toxicity of ineffective regimens but also assist clinical decision-making about performing conservative breast surgery [4]. Changes in tumor diameter are an important criterion for response evaluation in solid tumors [6], and volume reduction has a stronger association with recurrence-free survival than other prognostic indicators [7]. MRI is the most accurate imaging modality for predicting residual tumor size during NAT [89]. However, MRI is time-consuming, expensive and requires the injection of a contrast agent, which hampers MRI popularity in developing countries. US is the most popular modality to assess tumor response and a reasonable alternative strategy for predicting residual lesions with NAT [10]. It was reported that MRI estimated the residual tumor size with < 10-mm discordance in 54% of patients, overestimated the size in 28% and underestimated the size in 18%, while US was reported as 63%, 20% and 17%, respectively. US was at least as good as breast MRI in providing information on residual tumor size following neoadjuvant chemotherapy [11]. AB US, which was initially developed for breast cancer screening, acquires standardized US images of the whole breast with a 15.4 cm wide imaging field, overcoming the limitation of small fields of view and addressing the operator dependence associated with handheld ultrasound (HH US) [1213]. In this case, AB US was performed before and during the NAT. Reductions in tumor size with a concentric shrinkage pattern were shown in grayscale images. Reconstructed 3D images of tumors and automated or semiautomated volumetric measurements were also available with 3D Slicer, which provided intuitive changes in tumor size. Calcification in AB US images remained despite pCR, which is consistent with reports that calcification appearance does not clearly change after NAT, the persistence of calcifications does not necessarily indicate residual disease, and calcification patterns are not related to the pCR rate [1415]. In conclusion, AB US, which is less time-consuming and less expensive than MRI and does not require the injection of a contrast agent, can be an alternative modality for assessing the tumor response to NAT in low- and middle-income countries. AB US not only overcomes the limitations of HH US but also allows the reconstruction of 3D images and volumetric measurements of tumor size.
  14 in total

Review 1.  Role of imaging in neoadjuvant therapy for breast cancer.

Authors:  Vandana Dialani; Tamuna Chadashvili; Priscilla J Slanetz
Journal:  Ann Surg Oncol       Date:  2015-03-02       Impact factor: 5.344

2.  Breast MRI: State of the Art.

Authors:  Ritse M Mann; Nariya Cho; Linda Moy
Journal:  Radiology       Date:  2019-07-30       Impact factor: 11.105

3.  Three-dimensional Automated Breast US: Facts and Artifacts.

Authors:  Ingolf Karst; Christopher Henley; Nadine Gottschalk; Sara Floyd; Ellen B Mendelson
Journal:  Radiographics       Date:  2019-05-31       Impact factor: 5.333

Review 4.  Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy.

Authors:  Michael L Marinovich; Nehmat Houssami; Petra Macaskill; Francesco Sardanelli; Les Irwig; Eleftherios P Mamounas; Gunter von Minckwitz; Meagan E Brennan; Stefano Ciatto
Journal:  J Natl Cancer Inst       Date:  2013-01-07       Impact factor: 13.506

5.  Neoadjuvant chemotherapy for breast cancer increases the rate of breast conservation: results from the National Cancer Database.

Authors:  Brigid K Killelea; Vicky Q Yang; Sarah Mougalian; Nina R Horowitz; Lajos Pusztai; Anees B Chagpar; Donald R Lannin
Journal:  J Am Coll Surg       Date:  2015-02-26       Impact factor: 6.113

Review 6.  Imaging Neoadjuvant Therapy Response in Breast Cancer.

Authors:  Amy M Fowler; David A Mankoff; Bonnie N Joe
Journal:  Radiology       Date:  2017-11       Impact factor: 11.105

7.  Ultrasound is at least as good as magnetic resonance imaging in predicting tumour size post-neoadjuvant chemotherapy in breast cancer.

Authors:  Birgit E P J Vriens; Bart de Vries; Marc B I Lobbes; Saskia M van Gastel; Franchette W P J van den Berkmortel; Tineke J Smilde; Laurence J C van Warmerdam; Maaike de Boer; Dick Johan van Spronsen; Marjolein L Smidt; Petronella G M Peer; Maureen J Aarts; Vivianne C G Tjan-Heijnen
Journal:  Eur J Cancer       Date:  2015-11-30       Impact factor: 9.162

8.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

Review 9.  Recent Advances in the Neoadjuvant Treatment of Breast Cancer.

Authors:  Gábor Rubovszky; Zsolt Horváth
Journal:  J Breast Cancer       Date:  2017-06-26       Impact factor: 3.588

10.  Accuracy of morphologic change measurements by ultrasound in predicting pathological response to neoadjuvant chemotherapy in triple-negative and HER2-positive breast cancer.

Authors:  Tomohiro Ochi; Hiroko Tsunoda; Naoko Matsuda; Fumi Nozaki; Koyu Suzuki; Hiroyuki Takei; Hideko Yamauchi
Journal:  Breast Cancer       Date:  2021-02-09       Impact factor: 4.239

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