The accuracy of breast volume measurement methods: A systematic review

Choppin, Simon; Wheat, Jonathan; Gee, Melanie; Goyal, Amit

doi:10.1016/j.breast.2016.05.010

Cited by 74 publications

(50 citation statements)

References 55 publications

(101 reference statements)

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“…An accurate and reproducible pre-operative measurement of breast size and shape would provide an objective assessment and help avoid asymmetry. Although various methods have been developed, there is no universally accepted objective method for determining breast volume [7][8][9] and choosing implant size for breast reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Preoperative implant selection for unilateral breast reconstruction using 3D imaging with the Microsoft Kinect sensor

Pöhlmann

Harkness

Taylor

et al. 2017

Journal of Plastic, Reconstructive & Aesthetic Surgery

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Section: Introductionmentioning

confidence: 99%

Preoperative implant selection for unilateral breast reconstruction using 3D imaging with the Microsoft Kinect sensor

Pöhlmann

Harkness

Taylor

et al. 2017

Journal of Plastic, Reconstructive & Aesthetic Surgery

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“…For this reason, it is necessary to compare at least two images to document the relative difference between surfaces. Depending on the technology and software used for imaging, measurements regarding absolute breast volumes have been known to show a higher variance when compared to MRI and CT, and therefore remain inconclusive [34]. Another limitation is the process of manual landmark placement to digitally mark breast boundaries in patients with a high BMI or severe breast ptosis, especially when regarding the inframammary fold and lateral breast border.…”

Section: Discussionmentioning

confidence: 99%

Three-dimensional surface imaging in breast cancer: a new tool for clinical studies?

Koban

Etzel

et al. 2020

Radiat Oncol

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Background: Three-dimensional Surface Imaging (3DSI) is a well-established method to objectively monitor morphological changes in the female breast in the field of plastic surgery. In contrast, in radiation oncology we are still missing effective tools, which can objectively and reproducibly assess and document adverse events in breast cancer radiotherapy within the framework of clinical studies. The aim of the present study was to apply structuredlight technology as a non-invasive and objective approach for the documentation of cosmetic outcome and early effects of breast radiotherapy as a proof of principle. Methods: Weekly 3DSI images of patients receiving either conventionally fractionated radiation treatment (CF-RT) or hypofractionated radiation treatment (HF-RT) were acquired during the radiotherapy treatment and clinical follow-up. The portable Artec Eva scanner (Artec 3D Inc., Luxembourg) recorded 3D surface images for the analysis of breast volumes and changes in skin appearance. Statistical analysis compared the impact of the two different fractionation regimens and the differences between the treated and the contralateral healthy breast. Results: Overall, 38 patients and a total of 214 breast imaging sessions were analysed. Patients receiving CF-RT showed a significantly higher frequency of breast erythema compared to HF-RT (93.3% versus 34.8%, p = 0.003) during all observed imaging sessions. Moreover, we found a statistically significant (p < 0.05) volumetric increase of the treated breast of the entire cohort between baseline (379 ± 196 mL) and follow-up imaging at 3 months (437 ± 224 mL), as well as from week 3 of radiotherapy (391 ± 198 mL) to follow-up imaging. In both subgroups of patients undergoing either CF-RT or HF-RT, there was a statistically significant increase (p < 0.05) in breast volumes between baseline and 3 months follow-up. There were no statistically significant skin or volumetric changes of the untreated healthy breasts. Conclusions: This is the first study utilizing 3D structured-light technology as a non-invasive and objective approach for the documentation of patients receiving breast radiotherapy. 3DSI offers potential as a non-invasive tool to objectively and precisely monitor the female breast in a radiooncological setting, allowing clinicians to objectively distinguish outcomes of different therapy modalities.

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“…However, for women with larger breast volume, 3D scanning is not accurate [35], and the technical and cost requirements are higher. Choppin et al [36] considered the highest accuracy of magnetic resonance imaging (MRI) scan after comparing 3D scanning, mammography, MRI, CT examination, model casting and other methods. Itsukage et al [37] also believed that MRI is more accurate in measuring breast volume.However, it requires data analysis software and is more expensive.…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Formulaic Breast Volume And Risk Of Breast Cancer Based On Linear Measurement

Zhou²,

et al. 2020

Preprint

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Background: Whether breast volume is a risk factor for breast cancer has been controversial. This study aimed to evaluate whether or not the significant association between breast volume and risk of breast cancer based on linear measurement by applying Propensity Score Matching (PSM) was present.Methods: The study was designed as a hospital-based case-control study. Between March 2018 and May 2019, 208 cases and 340 controls were retrospectively reviewed. Information on menarche, smoking, feeding mode, oral contraceptives, reproductive history and family history was obtained through a structured questionnaire. Calculate breast volume using formula based on the linear measurement of breast parameters. Cox regression and PSM were used to estimate odds ratios and 95% confidence intervals for breast cancer by risk factors adjusted for potential confounders.Results: There was a significant difference in breast volume between two groups before Propensity Score Matching(P=0.014) : P=0.009, OR=1.002, 95% CI: 1.000~1.003). Binary logistic regression showed that the risk of breast cancer was slightly higher in the case group with larger breast volume than in the control group P=0.009, OR=1.002 95%CI 1.000 1.003). However, there was no significant statistical difference between two groups in independent sample Mann-Whitney U test (P=0.438) and in conditional logistic regression (P=0.446).Conclusions: After PSM for the potential confounders factors, the breast volume of cases did not differ from that of controls. The risk of breast cancer may not related to breast volume in Chinese women.

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The accuracy of breast volume measurement methods: A systematic review

Cited by 74 publications

References 55 publications

Preoperative implant selection for unilateral breast reconstruction using 3D imaging with the Microsoft Kinect sensor

Preoperative implant selection for unilateral breast reconstruction using 3D imaging with the Microsoft Kinect sensor

Three-dimensional surface imaging in breast cancer: a new tool for clinical studies?

Relationship Between Formulaic Breast Volume And Risk Of Breast Cancer Based On Linear Measurement

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