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Published on: August 4, 2020
Is 3-Dimensional Scanning Really Helpful in Implant-Based Breast Reconstruction?: A Prospective Study
Dun-Wei Huang1, Yu-Yu Chou, Hung-Hui Liu
1From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
This study evaluated whether using a handheld 3D scanner can accurately predict the breast volume needed for implant-based reconstruction after cancer surgery. While the scanner successfully measured breast size before surgery, these measurements did not reliably predict the final implant size chosen by surgeons.
Area of Science:
- Surgical oncology outcomes research within 3-dimensional scanning technology
- Plastic and reconstructive surgery within clinical medicine
Background:
Clinicians currently lack a reliable method to forecast the precise volume of implants required for breast reconstruction. Prior research has shown that standard imaging modalities like magnetic resonance imaging remain costly and time-intensive. That uncertainty drove interest in noninvasive alternatives that avoid radiation exposure for patients. No prior work had resolved how handheld surface scanning might assist in preoperative planning for mastectomy cases. This gap motivated the investigation into whether digital surface capture could replace traditional estimation techniques. Existing literature highlights that current surgical planning often relies on subjective assessment rather than objective volumetric data. Surgeons frequently face difficulties when matching implant sizes to the physical space created by tissue removal. This study addresses the clinical need for objective tools to improve surgical precision in oncological breast reconstruction.
Purpose Of The Study:
The study aimed to determine if 3-dimensional scanning could accurately predict the volume of implants required for breast reconstruction. Surgeons currently lack a reliable, noninvasive technique to forecast the necessary implant size before starting an operation. This uncertainty often leads to reliance on subjective estimation during the surgical procedure. The researchers sought to evaluate whether digital surface capture could provide objective measurements to guide this process. They investigated the potential of this technology to replace more expensive or radiation-heavy imaging methods. By comparing digital scans with actual tissue volume, the team hoped to establish a predictive model for implant selection. This research addresses the need for safer preoperative planning tools in the context of oncological breast surgery. The study specifically focuses on the correlation between digital measurements, mastectomy specimens, and final implant volumes.
Main Methods:
The review approach involved a prospective analysis of twelve patients diagnosed with early-stage breast cancer. All participants underwent nipple-sparing mastectomy followed by immediate placement of reconstructive implants. Investigators utilized a handheld optical device to capture preoperative volumetric data for each breast. During the operation, the team determined the physical volume of the removed tissue using fluid displacement techniques. They calculated the relationship between these digital estimates and physical specimens using the Pearson correlation coefficient. The protocol included applying a specific correction factor of eighty-five percent to refine the predictive accuracy. Researchers also conducted surveys three months postoperatively to assess both patient and physician satisfaction levels. This structured evaluation allowed for a direct comparison between objective volumetric data and subjective surgical outcomes.
Main Results:
Key findings from the literature show a statistically significant correlation between preoperative breast volumes and the volume of mastectomy specimens, with an r-value of 0.6578. The data revealed that the scanning device successfully captured the physical dimensions of the breast prior to surgery. However, no significant correlation existed between the preoperative breast volumes and the final implant volumes used. The analysis also demonstrated a lack of association between the mastectomy specimen volumes and the final implant sizes. Furthermore, the estimated implant volumes showed no correlation with the final implants placed in the patients. These results suggest that while the scanner provides accurate surface measurements, it does not directly dictate the final surgical choice. The findings highlight a disconnect between objective volumetric data and the complex decision-making process in reconstruction. Variability in patient anatomy and surgeon preference appears to override the predictive value of the scanning data.
Conclusions:
The authors suggest that surface scanning provides a relatively accurate assessment of preoperative breast volume. Synthesis and implications indicate that these measurements do not correlate with the final implant volumes selected during surgery. The researchers propose that such technology might hold greater utility for aesthetic augmentation procedures rather than oncological reconstruction. They note that surgical outcomes remain influenced by diverse factors including tumor size and cancer stage. Patient and physician preferences also play a significant role in determining the final aesthetic result. The team emphasizes that additional investigations must clarify how volumetric data informs actual implant selection. Surgeons should interpret these findings as a preliminary step toward objective planning in complex breast cases. Future efforts will need to account for the high variability inherent in mastectomy specimens and patient anatomy.
Frequently Asked Questions
The researchers observed a statistically significant correlation between preoperative breast volumes captured by the device and the actual mastectomy specimen volumes, with an r-value of 0.6578. However, they found no link between these measurements and the final implant size chosen by the surgical team.
The study utilized the Artec Eva 3D scanner to obtain digital volumetric data. This handheld device captures surface geometry without ionizing radiation, offering a noninvasive alternative to traditional imaging modalities like computed tomography or magnetic resonance imaging.
The water displacement method was necessary to objectively quantify the volume of the mastectomy specimen intraoperatively. This technique provides a gold-standard physical measurement to compare against the digital estimates generated by the scanner.
The researchers applied a correction prediction factor of 85% to the volumetric data. This adjustment aims to account for the difference between the preoperative breast volume and the actual tissue removed during the mastectomy.
The team measured the correlation between preoperative breast volumes, mastectomy specimen volumes, and final implant volumes using the Pearson correlation coefficient. This statistical approach quantifies the strength of the linear relationship between these distinct volumetric variables.
The authors propose that this technology may be more applicable for preoperative planning in breast augmentation surgery. They suggest that the variability in cancer stage and patient preference complicates the use of these measurements in reconstructive cases.

