Three-dimensional ultrasonography of the breast; An adequate replacement for MRI in neoadjuvant chemotherapy tumour response evaluation? − RESPONDER trial

Egdom, Laurentine S. E. van; Lagendijk, M.; Heijkoop, Esther; Koning, Anton H. J.; Deurzen, Carolien H.M. van; Jager, Agnes; Lankeren, Winnifred van; Koppert, L.

doi:10.1016/j.ejrad.2018.05.005

Cited by 9 publications

(6 citation statements)

References 29 publications

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“…Intraclass correlation coefficient (ICC) was used to evaluate the consistency of evaluation results among physicians. The level of clinical significance evidence of the ICC was judged by the previous similar ultrasound radiomics study: an ICC of <0.40 was rated as 'Poor', ICC of 0.40-0.59 as 'Fair', ICC of 0.60-0.74 as 'Good' and ICC of 0.74-1.00 as 'Excellent' (22).…”

Section: Image Segmentation and Feature Extractionmentioning

confidence: 99%

Treatment Response Prediction Using Ultrasound-Based Pre-, Post-Early, and Delta Radiomics in Neoadjuvant Chemotherapy in Breast Cancer

et al. 2022

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ObjectiveTo develop and validate a radiomics nomogram based on pre-treatment, early treatment ultrasound (US) radiomics features combined with clinical characteristics for early prediction of response to neoadjuvant chemotherapy (NAC) in breast cancer.MethodA total of 217 patients with histological results of breast cancer receiving four to eight cycles of NAC before surgery from January 2018 to December 2020 were enrolled. Patients from the study population were randomly separated into a training set (n = 152) and a validation set (n = 65) at a ratio of 7:3. A total of 788 radiomics features were extracted from each region of interest in the US image at pre-treatment baseline (radiomic signature, RS1), early treatment (after completion of two cycles of NAC, RS2) and delta radiomics (calculated between the pre-treatment and post-treatment features, Delta RS). The Max-Relevance and Min-Redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) regression were applied for feature selection. The predictive nomogram was built based on the radiomics signature combined with clinicopathological risk factors. Discrimination, calibration, and prediction performance were further evaluated in the validation set.ResultsOf the 217 breast masses, 127 (58.5%) were responsive to NAC and 90 (41.5%) were non-responsive. Following feature selection, nine features in RS1, 11 features in RS2, and eight features in Delta RS remained. With multivariate analysis, the RS1, RS2, Delta RS, and Ki-67 expression were independently associated with breast NAC response. However, the performance of the Delta RS (AUCDelta RS = 0.743) was not higher than RS1 (AUCRS1 = 0.722, PDelta vs RS1 = 0.086) and RS2 (AUCRS2 = 0.811, PDelta vs RS2 =0.173) with the Delong test. The nomogram incorporating RS1, RS2, and Ki-67 expression showed better predictive ability for NAC response with an area under the curve (AUC) of 0.866 in validation cohorts than either the single RS1 (AUC 0.725) or RS2 (AUC 0.793) or Ki-67 (AUC 0.643).ConclusionThe nomogram incorporating pre-treatment and early-treatment US radiomics features and Ki-67 expression showed good performance in terms of NAC response in breast cancer, thereby providing valuable information for individual treatment and timely adjustment of chemotherapy regimens.

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Section: Image Segmentation and Feature Extractionmentioning

confidence: 99%

Treatment Response Prediction Using Ultrasound-Based Pre-, Post-Early, and Delta Radiomics in Neoadjuvant Chemotherapy in Breast Cancer

et al. 2022

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“…ABVS is not only an observer-independent, automated and standardized method but also provides a large field of view using high-frequency transducers, and computer-aided detection software significantly reduces interpretation time. 73 ABVS has the ability to calculate volume using 3D imaging software, and multiple studies have shown a higher correlation with histopathological tumor response than conventional US. 73 absolute concordance in 73% of patients for mid-NAC evaluation.…”

Section: Three-dimensional (3d) Techniques For Assessing Response To Nacmentioning

confidence: 99%

“…73 ABVS has the ability to calculate volume using 3D imaging software, and multiple studies have shown a higher correlation with histopathological tumor response than conventional US. 73 absolute concordance in 73% of patients for mid-NAC evaluation. Tumor response to NAC in midtreatment was evaluated using the product change in the two largest perpendicular diameters (PC) or the longest diameter change (LDC) in the study by Wang et al 75 All four prediction methods (PC on axial planes, LDC on axial planes, PC on coronal planes and LDC on coronal planes) displayed high AUCs (0.83-0.89), and the sensitivity, specificity, PPV, and NPV were 86-88%, 62-85%, 28-51%, 96-98%, respectively.…”

Section: Three-dimensional (3d) Techniques For Assessing Response To Nacmentioning

confidence: 99%

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A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

Wang

Chu

Wang

2021

CMAR

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The incidence and mortality rate of breast cancer (BC) in women currently ranks first worldwide, and neoadjuvant chemotherapy (NAC) is widely used in patients with BC. A variety of imaging assessment methods have been used to predict and evaluate the response to NAC. Ultrasound (US) has many advantages, such as being inexpensive and offering a convenient modality for follow-up detection without radiation emission. Although conventional grayscale US is typically used to predict the response to NAC, this approach is limited in its ability to distinguish viable tumor tissue from fibrotic scar tissue. Contrast-enhanced ultrasound (CEUS) combined with a time-intensity curve (TIC) not only provides information on blood perfusion but also reveals a variety of quantitative parameters; elastography has the potential capacity to predict NAC efficiency by evaluating tissue stiffness. Both CEUS and elastography can greatly improve the accuracy of predicting NAC responses. Other US techniques, including three-dimensional (3D) techniques, quantitative ultrasound (QUS) and US-guided near-infrared (NIR) diffuse optical tomography (DOT) systems, also have advantages in assessing NAC response. This paper reviews the different US technologies used for predicting NAC response in BC patients based on the previous literature.

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“…Additionally, the anatomical planes of interest within the volume can be visualized and reviewed in multiplanar views, including the transverse, sagittal, and coronal planes [12][13][14]. In the last few years, an automated whole breast ultrasound equipment, i.e., automated breast volume scanner (ABVS), has been increasingly used in breast imaging practice, including detection and characterization [11,[15][16][17], and assessment of treatment response after neoadjuvant chemotherapy [18]. Compared with conventional 3D-US, the advantage of ABVS lies in a large field of view, so that the breast can be fully displayed by only two to four-volume scans [11,15,19].…”

mentioning

confidence: 99%

Characterization of Breast Lesions: Comparison between Three-dimensional Ultrasound and Automated Volume Breast Ultrasound

Wei¹,

Jingwen²,

Zhang³

et al. 2021

Advanced Ultrasound in Diagnosis and Therapy

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This study aimed to compare the diagnostic performance of three-dimensional ultrasound (3D-US) and automated breast volume scanner (ABVS) for the characterization of benign and malignant breast lesions.Methods: Ninety patients who underwent surgery and preoperative conventional ultrasound (US), 3D-US, and ABVS examinations were enrolled in this study. The image quality and adjacent structures of the lesions in the coronal plane were compared. The combination of US, 3D-US, and ABVS for retraction phenomenon of the lesion was compared and the diagnostic performance of each combination was analyzed.Results: ABVS displayed better image quality and adjacent structures than 3D-US (P < 0.001). The area under the curve (AUC) was 0.913, 0.842, and 0.871 for US, 3D-US, and ABVS, respectively. The AUC of the retraction phenomenon of the lesion was 0.732 and 0.810 for 3D-US and ABVS, respectively. When they were combined, US+ABVS showed the highest AUC of 0.924. No significant difference of diagnostic performances was found among conventional US, US+3D-US, and US+ABVS (P > 0.05). Conclusions:Compared with 3D-US, ABVS seems to be superior in showing the retraction phenomenon of breast lesions and in the characterization of breast lesions alone or in combination with conventional US. Although no significant difference was observed between them, both ABVS and 3D-US provided valuable information in the coronal plane and improved our confidence level in breast lesion characterization, especially when combined with the conventional US.

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Three-dimensional ultrasonography of the breast; An adequate replacement for MRI in neoadjuvant chemotherapy tumour response evaluation? − RESPONDER trial

Cited by 9 publications

References 29 publications

Treatment Response Prediction Using Ultrasound-Based Pre-, Post-Early, and Delta Radiomics in Neoadjuvant Chemotherapy in Breast Cancer

Treatment Response Prediction Using Ultrasound-Based Pre-, Post-Early, and Delta Radiomics in Neoadjuvant Chemotherapy in Breast Cancer

A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

Characterization of Breast Lesions: Comparison between Three-dimensional Ultrasound and Automated Volume Breast Ultrasound

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