PMID- 32740818 OWN - NLM STAT- MEDLINE DCOM- 20210414 LR - 20210414 IS - 1432-1084 (Electronic) IS - 0938-7994 (Print) IS - 0938-7994 (Linking) VI - 31 IP - 1 DP - 2021 Jan TI - Comparison of postoperative CT- and preoperative MRI-based breast tumor bed contours in prone position for radiotherapy after breast-conserving surgery. PG - 345-355 LID - 10.1007/s00330-020-07085-0 [doi] AB - OBJECTIVES: To compare the target volume of tumor bed defined by postoperative computed tomography (post-CT) in prone position registered with or without preoperative magnetic resonance imaging (pre-MRI). METHODS: A total of 22 patients were included with early-stage breast invasive ductal cancer, who have undergone breast-conservative surgery and received the pre-MRI and post-CT in prone position. The MRI sequences (T1W, T2W, T2W-SPAIR, DWI, dyn-eTHRIVE, sdyn-eTHRIVE) were delineated and manually registered to CT, respectively. The clinical target volumes (CTVs) and planning target volumes (PTVs) were contoured on CT and different MRI sequences, respectively. Differences were measured in terms of consistence index (CI), dice coefficient (DC), geographical miss index (GMI), and normal tissue index (NTI). RESULTS: The differences of delineation volumes among CT and MRIs were significant, both in the CTVs (p = 0.035) and PTVs (p < 0.001). The values of CI and DC for sdyn-eTHRIVE registration to CT were the largest among all MRI sequences, but GMI and NTI were the smallest. No obvious linear correlation (p > 0.05) between the CI derived from the registration of CT and sdyn-eTHRIVE of CTV with the breast volume, the cavity visualization score (CVS) of CT, time interval from surgery to CT simulation, the maximum diameter of the intraoperative mass, and the number of titanium clips, respectively. CONCLUSIONS: The CTVs and PTVs in MRI sequences were all smaller than those in CT. The pre-MRI, especially the sdyn-eTHRIVE, could be used to optimize the post-CT-based target delineation of breast cancer. KEY POINTS: * Registered pre-MRI to post-CT in order to improve the accuracy of target volume delineation of breast cancer. * The CTVs and PTVs in MRI sequences were all smaller than those in CT. * The sdyn-eTHRIVE of pre-MRIs may be a better choice to improve the delineation of CT-based CTV and PTV. FAU - Dong, Yinping AU - Dong Y AD - School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, China. AD - Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China. FAU - Liu, Yang AU - Liu Y AD - Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China. FAU - Chen, Jinhu AU - Chen J AD - Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China. FAU - Li, Wanhu AU - Li W AD - Department of Radiology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. FAU - Li, Yongqing AU - Li Y AD - Department of Surgical Ward 1, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. FAU - Zhao, Qian AU - Zhao Q AD - Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China. FAU - Chen, Yiru AU - Chen Y AD - Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China. FAU - Huang, Wei AU - Huang W AD - Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China. alvinbird@126.com. LA - eng GR - 81773232/National Natural Science Foundation of China/ GR - 2020RC002/Academic promotion program of Shandong First Medical University/ GR - tsqn201909187/Foundation of Young Taishan Scholars Program/ PT - Journal Article DEP - 20200801 PL - Germany TA - Eur Radiol JT - European radiology JID - 9114774 SB - IM MH - *Breast Neoplasms/diagnostic imaging/radiotherapy/surgery MH - Humans MH - Magnetic Resonance Imaging MH - *Mastectomy, Segmental MH - Prone Position MH - Radiotherapy Planning, Computer-Assisted MH - Tomography, X-Ray Computed PMC - PMC7755637 OTO - NOTNLM OT - Breast cancer OT - Magnetic resonance imaging OT - Radiotherapy COIS- The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. EDAT- 2020/08/03 06:00 MHDA- 2021/04/15 06:00 PMCR- 2020/08/01 CRDT- 2020/08/03 06:00 PHST- 2020/04/17 00:00 [received] PHST- 2020/07/20 00:00 [accepted] PHST- 2020/05/15 00:00 [revised] PHST- 2020/08/03 06:00 [pubmed] PHST- 2021/04/15 06:00 [medline] PHST- 2020/08/03 06:00 [entrez] PHST- 2020/08/01 00:00 [pmc-release] AID - 10.1007/s00330-020-07085-0 [pii] AID - 7085 [pii] AID - 10.1007/s00330-020-07085-0 [doi] PST - ppublish SO - Eur Radiol. 2021 Jan;31(1):345-355. doi: 10.1007/s00330-020-07085-0. Epub 2020 Aug 1.