<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(12)</volume><submitter>Jiang Z</submitter><pubmed_abstract>Traditional intensity-modulated radiation therapy (IMRT) planning for cervical cancer is time-consuming and require iterative repeated optimization. In this study, we focused on leveraging multi-criteria optimization (MCO) to reduce the impact of small bowel high-dose indices on other optimization targets, thereby providing a rapid approach to individualized IMRT for cervical cancer patients. Our research involved a cohort of 25 cervical cancer patients who underwent IMRT radiotherapy. The patient inclusion criteria were as follows: (I) histopathological confirmation of cervical cancer, (II) underwent IMRT radiation therapy, and (III) a prescribed dose of 180 cGy/28 fractions for the patient. All plans were replanned by an experienced dosimetrist without the MCO (W-IMRT). On the basis of t</pubmed_abstract><journal>Translational cancer research</journal><pagination>3255-3265</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10774067</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Advantages of IMRT optimization with MCO compared to IMRT optimization without MCO in reducing small bowel high dose index for cervical cancer patients-individualized treatment options.</pubmed_title><pmcid>PMC10774067</pmcid><pubmed_authors>Zhang G</pubmed_authors><pubmed_authors>Yin Y</pubmed_authors><pubmed_authors>Jiang Z</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Sun T</pubmed_authors><pubmed_authors>Kong X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Advantages of IMRT optimization with MCO compared to IMRT optimization without MCO in reducing small bowel high dose index for cervical cancer patients-individualized treatment options.</name><description>Traditional intensity-modulated radiation therapy (IMRT) planning for cervical cancer is time-consuming and require iterative repeated optimization. In this study, we focused on leveraging multi-criteria optimization (MCO) to reduce the impact of small bowel high-dose indices on other optimization targets, thereby providing a rapid approach to individualized IMRT for cervical cancer patients. Our research involved a cohort of 25 cervical cancer patients who underwent IMRT radiotherapy. The patient inclusion criteria were as follows: (I) histopathological confirmation of cervical cancer, (II) underwent IMRT radiation therapy, and (III) a prescribed dose of 180 cGy/28 fractions for the patient. All plans were replanned by an experienced dosimetrist without the MCO (W-IMRT). On the basis of t</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Dec</publication><modification>2025-04-22T18:13:10.054Z</modification><creation>2025-04-06T02:21:25.271Z</creation></dates><accession>S-EPMC10774067</accession><cross_references><pubmed>38197072</pubmed><doi>10.21037/tcr-22-2792</doi></cross_references></HashMap>