Haoqi Wang, Xiomara T Gonzalez, Gabriela A Renta-López, Mary Catherine Bordes, Michael C Hout, Seung W Choi, Gregory P Reece, Mia K Markey
{"title":"乳腺癌幸存者对乳房重建外观结果的感知图。","authors":"Haoqi Wang, Xiomara T Gonzalez, Gabriela A Renta-López, Mary Catherine Bordes, Michael C Hout, Seung W Choi, Gregory P Reece, Mia K Markey","doi":"10.1117/1.JMI.12.5.051802","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>It is often hard for patients to articulate their expectations about breast reconstruction appearance outcomes to their providers. Our overarching goal is to develop a tool to help patients visually express what they expect to look like after reconstruction. We aim to comprehensively understand how breast cancer survivors perceive diverse breast appearance states by mapping them onto a low-dimensional Euclidean space, which simplifies the complex information about perceptual similarity relationships into a more interpretable form.</p><p><strong>Approach: </strong>We recruited breast cancer survivors and conducted observer experiments to assess the visual similarities among clinical photographs depicting a range of appearances of the torso relevant to breast reconstruction. Then, we developed a perceptual map to illuminate how breast cancer survivors perceive and distinguish among these appearance states.</p><p><strong>Results: </strong>We sampled 100 photographs as stimuli and recruited 34 breast cancer survivors locally. The resulting perceptual map, constructed in two dimensions, offers valuable insights into factors influencing breast cancer survivors' perceptions of breast reconstruction outcomes. Our findings highlight specific aspects, such as the number of nipples, symmetry, ptosis, scars, and breast shape, that emerge as particularly noteworthy for breast cancer survivors.</p><p><strong>Conclusions: </strong>Analysis of the perceptual map identified factors associated with breast cancer survivors' perceptions of breast appearance states that should be emphasized in the appearance consultation process. The perceptual map could be used to assist patients in visually expressing what they expect to look like. Our study lays the groundwork for evaluating interventions intended to help patients form realistic expectations.</p>","PeriodicalId":47707,"journal":{"name":"Journal of Medical Imaging","volume":"12 5","pages":"051802"},"PeriodicalIF":1.9000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921042/pdf/","citationCount":"0","resultStr":"{\"title\":\"Breast cancer survivors' perceptual map of breast reconstruction appearance outcomes.\",\"authors\":\"Haoqi Wang, Xiomara T Gonzalez, Gabriela A Renta-López, Mary Catherine Bordes, Michael C Hout, Seung W Choi, Gregory P Reece, Mia K Markey\",\"doi\":\"10.1117/1.JMI.12.5.051802\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>It is often hard for patients to articulate their expectations about breast reconstruction appearance outcomes to their providers. Our overarching goal is to develop a tool to help patients visually express what they expect to look like after reconstruction. We aim to comprehensively understand how breast cancer survivors perceive diverse breast appearance states by mapping them onto a low-dimensional Euclidean space, which simplifies the complex information about perceptual similarity relationships into a more interpretable form.</p><p><strong>Approach: </strong>We recruited breast cancer survivors and conducted observer experiments to assess the visual similarities among clinical photographs depicting a range of appearances of the torso relevant to breast reconstruction. Then, we developed a perceptual map to illuminate how breast cancer survivors perceive and distinguish among these appearance states.</p><p><strong>Results: </strong>We sampled 100 photographs as stimuli and recruited 34 breast cancer survivors locally. The resulting perceptual map, constructed in two dimensions, offers valuable insights into factors influencing breast cancer survivors' perceptions of breast reconstruction outcomes. Our findings highlight specific aspects, such as the number of nipples, symmetry, ptosis, scars, and breast shape, that emerge as particularly noteworthy for breast cancer survivors.</p><p><strong>Conclusions: </strong>Analysis of the perceptual map identified factors associated with breast cancer survivors' perceptions of breast appearance states that should be emphasized in the appearance consultation process. The perceptual map could be used to assist patients in visually expressing what they expect to look like. Our study lays the groundwork for evaluating interventions intended to help patients form realistic expectations.</p>\",\"PeriodicalId\":47707,\"journal\":{\"name\":\"Journal of Medical Imaging\",\"volume\":\"12 5\",\"pages\":\"051802\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921042/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1117/1.JMI.12.5.051802\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1117/1.JMI.12.5.051802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/19 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Breast cancer survivors' perceptual map of breast reconstruction appearance outcomes.
Purpose: It is often hard for patients to articulate their expectations about breast reconstruction appearance outcomes to their providers. Our overarching goal is to develop a tool to help patients visually express what they expect to look like after reconstruction. We aim to comprehensively understand how breast cancer survivors perceive diverse breast appearance states by mapping them onto a low-dimensional Euclidean space, which simplifies the complex information about perceptual similarity relationships into a more interpretable form.
Approach: We recruited breast cancer survivors and conducted observer experiments to assess the visual similarities among clinical photographs depicting a range of appearances of the torso relevant to breast reconstruction. Then, we developed a perceptual map to illuminate how breast cancer survivors perceive and distinguish among these appearance states.
Results: We sampled 100 photographs as stimuli and recruited 34 breast cancer survivors locally. The resulting perceptual map, constructed in two dimensions, offers valuable insights into factors influencing breast cancer survivors' perceptions of breast reconstruction outcomes. Our findings highlight specific aspects, such as the number of nipples, symmetry, ptosis, scars, and breast shape, that emerge as particularly noteworthy for breast cancer survivors.
Conclusions: Analysis of the perceptual map identified factors associated with breast cancer survivors' perceptions of breast appearance states that should be emphasized in the appearance consultation process. The perceptual map could be used to assist patients in visually expressing what they expect to look like. Our study lays the groundwork for evaluating interventions intended to help patients form realistic expectations.
期刊介绍:
JMI covers fundamental and translational research, as well as applications, focused on medical imaging, which continue to yield physical and biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal. The scope of JMI includes: Imaging physics, Tomographic reconstruction algorithms (such as those in CT and MRI), Image processing and deep learning, Computer-aided diagnosis and quantitative image analysis, Visualization and modeling, Picture archiving and communications systems (PACS), Image perception and observer performance, Technology assessment, Ultrasonic imaging, Image-guided procedures, Digital pathology, Biomedical applications of biomedical imaging. JMI allows for the peer-reviewed communication and archiving of scientific developments, translational and clinical applications, reviews, and recommendations for the field.