{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T09:56:11Z","timestamp":1790848571133,"version":"4.1.0"},"reference-count":23,"publisher":"The Endocrine Society","issue":"7","funder":[{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIDDK Intramural Program","award":["ZIE DK 04705313"],"award-info":[{"award-number":["ZIE DK 04705313"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,17]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Context<\/jats:title>\n                  <jats:p>Tumor volume doubling time (TVDT) is emerging as a useful tool in predicting oncologic outcomes. There are limited data on the prognostic role of TVDT in metastatic medullary thyroid cancer (MTC).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>The goal of this study was to assess the value of TVDT in predicting disease-specific survival (DSS) in patients with hereditary and sporadic MTC.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>This was an Institutional Review Board\u2013approved cohort study including patients with metastatic MTC having at least 3 consecutive imaging studies. TVDT of up to the 5 largest lesions per organ was calculated using a standardized formula. The association between TVDT and DSS was analyzed using Kaplan-Meier survival curves. Cox proportional regression model was used to account for confounding factors.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The study sample consisted of 51 patients presenting with 286 metastatic lesions measured with 457 scans during the follow-up of 51 (IQR, 25-102) months. Median age was 19 years (IQR, 15-41), 53% female patients. Cumulative volumes of all metastatic lesions and proportion of patients with TVDT of &amp;lt;\u202f1 year were higher in patients with sporadic as compared with hereditary MTC (P &amp;lt; .01). Factors independently associated with shorter DSS were TVDT of &amp;lt;\u202f1 year based on 3 initial and 3 last scans as well as lung, brain, and prostate as the organs with the fastest growing tumor. TVDT based on 2-dimensional and 3-dimensional measurements showed strong correlation (r = 0.94, P &amp;lt; .05).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Measurements from 3 baseline and 3 most recent scans preceding follow-up visit enable calculation of TVDT and can be used as predictors of mortality from MTC.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1210\/clinem\/dgae733","type":"journal-article","created":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T11:59:50Z","timestamp":1729079990000},"page":"1854-1864","source":"Crossref","is-referenced-by-count":2,"title":["Tumor Volume Doubling Time of Less Than 1 Year Is Associated With a Higher Risk of Death From Medullary Thyroid Cancer"],"prefix":"10.1210","volume":"110","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3150-7598","authenticated-orcid":false,"given":"Noha","family":"Behairy","sequence":"first","affiliation":[{"name":"Metabolic Disease Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda, MD 20892 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony J","family":"Leonardi","sequence":"additional","affiliation":[{"name":"Metabolic Disease Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda, MD 20892 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9263-1381","authenticated-orcid":false,"given":"Sriram","family":"Gubbi","sequence":"additional","affiliation":[{"name":"Metabolic Disease Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National 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