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Application of 3D imaging technology in preoperative evaluation of breast conserving surgery / 中国肿瘤临床
Article in Zh | WPRIM | ID: wpr-754480
Responsible library: WPRO
ABSTRACT
Objective: To evaluate 3D imaging technology in the preoperative evaluation of breast conserving surgery. Methods: A ret-rospective analysis was conducted using clinical data from 38 patients who underwent breast conserving surgery that was assisted by 3D imaging technology in Xiaogan Hospital Affiliated to Wuhan University of Science and Technology from April 2017 to January 2019. All 38 patients underwent 3.0-T breast magnetic resonance imaging (MRI) examination before surgery, and 3D reconstruction of virtu-al images was constructed through 3D modeling of medical digital imaging and communication (DICOM) data. The predicted resected tissue volume was compared with the volume of the actual resected specimen, and the surgical margin and postoperative aesthetics of the breast conserving surgery were evaluated. Results: The reconstructed 3D model clearly displayed the anatomical structures of the breast, tumor, gland, and blood vessels, and their relationship in 3D spaces. The goodness of fit of the 3D model to the practical sit-uation was 97.4% (37/38). In terms of the resection tissue volume, there was no significant difference between the predicted results (PRTV) and actual results (ARTV) [(61.7 ± 20.1) mL vs. (65.1 ± 20.7) mL, P>0.05]. There was a strong positive correlation between ARTV and PRTV (P<0.01). One patient underwent supplementary secondary surgery, resulting in an incidence of 2.6% (1/38). The postopera-tive satisfaction for breast conserving surgery was 100% (38/38). Conclusions: 3D imaging technology clearly displays the anatomical relationship between breast tumor and surrounding tissues, and correctly assesses breast volume, guiding surgical resection.
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Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Clinical Oncology Year: 2019 Type: Article
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Clinical Oncology Year: 2019 Type: Article