{"id":54881,"date":"2026-01-29T14:21:54","date_gmt":"2026-01-29T13:21:54","guid":{"rendered":"https:\/\/arbrea-labs.com\/?p=54881"},"modified":"2026-01-29T14:22:11","modified_gmt":"2026-01-29T13:22:11","slug":"multi-clinic-data-suggests-3d-and-ar-surgical-planning-improves-patient-alignment-and-reduces-revision-related-friction","status":"publish","type":"post","link":"https:\/\/arbrea-labs.com\/hi\/multi-clinic-data-suggests-3d-and-ar-surgical-planning-improves-patient-alignment-and-reduces-revision-related-friction\/","title":{"rendered":"\u092e\u0932\u094d\u091f\u0940-\u0915\u094d\u0932\u093f\u0928\u093f\u0915 \u0921\u0947\u091f\u093e \u0938\u0947 \u092a\u0924\u093e \u091a\u0932\u0924\u093e \u0939\u0948 \u0915\u093f 3D \u0914\u0930 AR \u0938\u0930\u094d\u091c\u093f\u0915\u0932 \u092a\u094d\u0932\u093e\u0928\u093f\u0902\u0917 \u0938\u0947 \u0930\u094b\u0917\u0940 \u0938\u0902\u0930\u0947\u0916\u0923 (\u0905\u0932\u093e\u0907\u0928\u092e\u0947\u0902\u091f) \u092e\u0947\u0902 \u0938\u0941\u0927\u093e\u0930 \u0939\u094b\u0924\u093e \u0939\u0948 \u0914\u0930 \u0938\u0902\u0936\u094b\u0927\u0928-\u0938\u0902\u092c\u0902\u0927\u0940 \u0918\u0930\u094d\u0937\u0923 (\u0930\u093f\u0935\u093f\u091c\u0928-\u0938\u0902\u092c\u0902\u0927\u093f\u0924 \u092b\u094d\u0930\u093f\u0915\u094d\u0936\u0928) \u0915\u092e \u0939\u094b\u0924\u093e \u0939\u0948\u0964"},"content":{"rendered":"
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Introduction<\/span><\/strong><\/div>\n

Preoperative planning in aesthetic breast surgery plays a critical role in shaping patient <\/span>satisfaction. Beyond technical precision, successful outcomes depend on how clearly <\/span>patients understand and align with a proposed surgical result before treatment begins. <\/span>Traditional consultation tools such as before-and-after photographs and external sizer <\/span>bras are widely used to support decision-making. While helpful, these methods often rely <\/span>on subjective interpretation and cannot fully account for individual anatomy, soft-tissue <\/span>characteristics, or proportional differences between patients. As a result, expectatio <\/span>mismatch remains a common challenge, even when surgical outcomes are clinically <\/span>successful. <\/span>Advances in three-dimensional (3D) visualization and augmented reality (AR) aim to <\/span>address these limitations by offering personalized, interactive simulations that improve <\/span>clarity and shared understanding. A clinical study by<\/span> Reichenberger et al. (2023)<\/span> \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948 <\/span>comparative evidence on how different preoperative simulation methods including 3D <\/span>and AR-based visualization affect patient satisfaction and perceived realism in breast <\/span>augmentation planning. The<\/span> fi<\/span>ndings are particularly relevant to platforms such as <\/span>\u0906\u0930\u094d\u092c\u094d\u0930\u093f\u092f\u093e \u0932\u0948\u092c\u094d\u0938<\/span>, whose 3D and AR visualization tools were used within the evaluated clinical<\/span>
work<\/span>fl<\/span>ow.<\/span><\/div>\n

Study Overview<\/span><\/strong><\/div>\n

The study,<\/span> Assessing patient satisfaction with a new 3D simulation software for breast <\/span>augmentation<\/span>, evaluated<\/span> 82 patients<\/span> who underwent primary aesthetic breast <\/span>augmentation between October 2018 and February 2023. <\/span>Each patient was assessed using<\/span> three preoperative consultation methods<\/span>:<\/span><\/div>\n
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  1. Before-and-after photograph<\/span><\/li>\n
  2. External sizer bras<\/span><\/li>\n
  3. 3D simulation with augmented reality (AR)<\/span><\/li>\n<\/ol>\n

    Patient satisfaction was measured using a<\/span> visual analogue scale (VAS) from 0 to 10<\/span>, with <\/span>follow-up assessments conducted up to<\/span> 12 months postoperatively<\/span> to evaluate perceived <\/span>realism and decision satisfaction.<\/div>\n
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    Key Findings<\/span><\/strong><\/p>\n

    Highest Satisfaction With 3D and AR Simulation <\/span>Among all methods evaluated,<\/span> 3D simulation with augmented reality achieved the <\/span>highest patient satisfaction<\/span>, with a mean VAS score of<\/span> 8.55 \u00b1 1.45<\/span>. This was signi<\/span>fi<\/span>cantly <\/span>higher than:<\/span><\/p>\n