{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T09:01:05Z","timestamp":1775638865503,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Cancer Institute\u2019s Cancer Center","award":["P30CA012197"],"award-info":[{"award-number":["P30CA012197"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Tomography"],"abstract":"<jats:p>Background\/Objectives: Young women with breast cancer (aged \u2264 40 years) have distinct prognostic characteristics, yet little is known about how modifiable body composition factors influence outcomes in this age group. This study examined whether CT-derived body composition measures could identify thresholds that predict overall survival (OS). Methods: This was a single-center, 10-year, matched case\u2013control study nested within a cohort, utilizing retrospectively collected data. Using an institutional database (2009\u20132018) and the initial cohort of 112 patients, we performed a subset analysis of patients with stage I\u2013III breast cancer at diagnosis who had available pretreatment CT scans to estimate associations with body composition metrics and OS. The final analytic dataset included 89 individuals (49 survivors and 40 deceased). CT scans at the L3 level were analyzed using Slice-O-Matic software to quantify visceral (VAT), subcutaneous (SAT), intermuscular (IMAT), total adipose tissue (TAT), skeletal muscle density (SMD), skeletal muscle gauge (SMG), and skeletal muscle index (SMI). Cox proportional hazard models determined optimal cutpoints for OS. Multivariable models included adjustments for disease stage and hormone receptor status. Results: The median age was 35 (IQR, 32\u201338); 47% were White and 37% were Black. The majority (78%) were not Hispanic or Latina. Most (67%) were overweight\/obese. Specific thresholds for IMAT index (&gt;2.57), VAT (&gt;31.38), and SMG (&lt;2419.89) were associated with worse survival (all p &lt; 0.05), while no cutpoints were identified for other variables. Conclusions: These findings show that muscle fat infiltration and reduced muscle quality have important prognostic value in young women with breast cancer. Exploratory cutpoints derived from routine staging CT scans may help inform risk stratification and generate hypotheses for targeted nutritional or exercise interventions, but require validation in larger, independent cohorts before clinical application.<\/jats:p>","DOI":"10.3390\/tomography12040054","type":"journal-article","created":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T07:25:12Z","timestamp":1775633112000},"page":"54","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Baseline Body Composition Characteristics and Overall Survival in Young Women with Breast Cancer: Matched Case\u2013Control Study Nested Within a Cohort"],"prefix":"10.3390","volume":"12","author":[{"given":"Aynur","family":"Aktas","sequence":"first","affiliation":[{"name":"Department of Supportive Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, USA"},{"name":"Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8962-2759","authenticated-orcid":false,"given":"Diptasree","family":"Mukherjee","sequence":"additional","affiliation":[{"name":"Department of Supportive Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2319-3573","authenticated-orcid":false,"given":"Danielle","family":"Boselli","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Data Sciences, Atrium Health Levine Cancer, Charlotte, NC 28204, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brandon N.","family":"VanderVeen","sequence":"additional","affiliation":[{"name":"Department of Cancer Biology, School of Medicine, Wake Forest University, Winston-Salem, NC 27157, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9652-812X","authenticated-orcid":false,"given":"Lejla","family":"Hadzikadic-Gusic","sequence":"additional","affiliation":[{"name":"Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA"},{"name":"Department of Surgery, Division of Surgical Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebecca S.","family":"Greiner","sequence":"additional","affiliation":[{"name":"Department of Supportive Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8826-5577","authenticated-orcid":false,"given":"Michelle L.","family":"Wallander","sequence":"additional","affiliation":[{"name":"Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Declan","family":"Walsh","sequence":"additional","affiliation":[{"name":"Department of Supportive Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, USA"},{"name":"Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kunal C.","family":"Kadakia","sequence":"additional","affiliation":[{"name":"Department of Supportive Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, USA"},{"name":"Department of Solid Tumor Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,8]]},"reference":[{"key":"ref_1","unstructured":"American Cancer Society (2025, August 12). 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