<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Kobayashi K</submitter><funding>National Defense Medical College</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>Tumor size (TS) in pancreatic ductal adenocarcinoma (PDAC) is one of the most important prognostic factors. However, discrepancies between TS on preoperative images (TSi) and pathological specimens (TSp) have been reported. This study aims to evaluate the factors associated with the differences between TSi and TSp.&lt;h4>Patients and methods&lt;/h4>We retrospectively analyzed patients with PDAC who underwent surgery at our institution between January 2010 and November 2023. TS discrepancy (TSD[%]) was defined as ([TSp - TSi]/TSp) × 100. Using logistic regression, we generated a receiver operating characteristic (ROC) curve to define the cutoff for TSi underestimation predicting clinical tumor (T) stage migration. Univariate and multivariate analyses were performed to evaluate </pubmed_abstract><journal>Annals of surgical oncology</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11976789</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Dissecting Tumor Size Underestimation in Pancreatic Cancer: A Comparative Analysis of Preoperative Treatments.</pubmed_title><pmcid>PMC11976789</pmcid><pubmed_authors>Einama T</pubmed_authors><pubmed_authors>Tsujimoto H</pubmed_authors><pubmed_authors>Yonamine N</pubmed_authors><pubmed_authors>Ueno H</pubmed_authors><pubmed_authors>Kishi Y</pubmed_authors><pubmed_authors>Takao M</pubmed_authors><pubmed_authors>Tsunenari T</pubmed_authors><pubmed_authors>Kobayashi K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Dissecting Tumor Size Underestimation in Pancreatic Cancer: A Comparative Analysis of Preoperative Treatments.</name><description>&lt;h4>Background&lt;/h4>Tumor size (TS) in pancreatic ductal adenocarcinoma (PDAC) is one of the most important prognostic factors. However, discrepancies between TS on preoperative images (TSi) and pathological specimens (TSp) have been reported. This study aims to evaluate the factors associated with the differences between TSi and TSp.&lt;h4>Patients and methods&lt;/h4>We retrospectively analyzed patients with PDAC who underwent surgery at our institution between January 2010 and November 2023. TS discrepancy (TSD[%]) was defined as ([TSp - TSi]/TSp) × 100. Using logistic regression, we generated a receiver operating characteristic (ROC) curve to define the cutoff for TSi underestimation predicting clinical tumor (T) stage migration. Univariate and multivariate analyses were performed to evaluate </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jan</publication><modification>2025-07-06T03:05:42.094Z</modification><creation>2025-07-06T03:05:42.094Z</creation></dates><accession>S-EPMC11976789</accession><cross_references><pubmed>39871078</pubmed><doi>10.1245/s10434-025-16917-6</doi></cross_references></HashMap>