Bone scan images dataset for study of bone metastases in adult breast cancer patients at IICS-UNA, Paraguay

被引:0
|
作者
Villegas-Colman, Carolina Elizabeth [1 ,2 ]
Mello-Roman, Julio Cesar [2 ]
Noguera, Jose Luis Vazquez [2 ]
Legal-Ayala, Horacio [2 ]
Estigarribia, Pastor Perez [2 ]
Grossling-Vallejos, Benicio [1 ,2 ]
Rivas, Ronald [1 ]
Pedrozo, Maria Gloria [1 ]
Duarte, Cynthia [1 ]
Gimenez, Graciela [1 ]
Uldera, Andres [1 ]
Arnal, Marina [1 ]
Barreto, Nicole [1 ]
Rojas, Teresa [1 ]
机构
[1] Univ Nacl Asuncion, Inst Invest Ciencias Salud, San Lorenzo 111421, Paraguay
[2] Univ Nacl Asuncion, Fac Politecn, San Lorenzo 111421, Paraguay
来源
DATA IN BRIEF | 2025年 / 58卷
关键词
Bone scan images; SPECT-CT-PET; Nuclear medicine; Bone metastases classification; Artificial intelligence;
D O I
10.1016/j.dib.2024.111191
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This article presents 582 bone scan images from 291 adult patients who attended the Nuclear Medicine Service at the Instituto de Investigaciones en Ciencias de la Salud (IICS) of the Universidad Nacional de Asunci & oacute;n (UNA), Paraguay, between 2020 and 2024. The images were acquired using trimodal SPECT-CT-PET equipment, model AnyScan SCP, and the MEDISO brand. Approximately 20 mCi of technetium-99m methylene diphosphonate ((99m) Tc-MDP) was administered to each patient, producing whole-body planar images in anterior and posterior projections of the axial and appendicular skeleton with a resolution of 256 x 1024 pixels. The images were labeled according to the final diagnosis by a nuclear physician, covering conditions ranging from joint lesions to bone metastases. This dataset will be helpful for researchers working on bone scan image analysis using artificial intelligence techniques to classify bone metastases. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/)
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页数:9
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