Photon Counting CT and Radiomic Analysis Enables Differentiation of Tumors Based on Lymphocyte Burden.
Photon Counting CT and Radiomic Analysis Enables Differentiation of Tumors Based on Lymphocyte Burden.
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DOI：
10.3390/tomography8020061
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发表时间：
2022-03-10
期刊：
影响因子：
--
通讯作者：
Badea CT
中科院分区：
文献类型：
--
作者：
Allphin AJ;Mowery YM;Lafata KJ;Clark DP;Bassil AM;Castillo R;Odhiambo D;Holbrook MD;Ghaghada KB;Badea CT
本研究的目的是探讨基于纳米颗粒增强的光谱显微ct放射组学分析是否可以根据淋巴细胞负荷来区分肿瘤。在Rag2+/−和Rag2−/−小鼠中启动高突变负荷移植软组织肉瘤，以模拟不同的淋巴细胞负荷。小鼠接受肿瘤后肢放射治疗（20 Gy），并注射碘化造影剂脂质体。5天后，使用能量积分检测器（EID）进行常规微ct成像，使用光子计数检测器（PCD）进行光谱微ct成像。测量肿瘤体积和碘摄入量。将放射性特征（RF）分组到EID、PCD和光谱分解图像对应的特征空间中。对RFs进行排序，以减少冗余并增加基于TL负担的相关性。采用分层重复交叉验证策略使用逻辑回归分类器评估分离。肿瘤碘浓度是Rag2+/−（TLs存在）和Rag2−/−（tl缺乏）肿瘤之间唯一显著不同的常规肿瘤指标。RFs进一步使Rag2+/−和Rag2−/−肿瘤分化。pcd衍生rf的准确度最高（0.68），其次是分解衍生rf（0.60）和eid衍生rf（0.58）。这种非侵入性的方法有助于癌症治疗研究的肿瘤分层。
The purpose of this study was to investigate if radiomic analysis based on spectral micro-CT with nanoparticle contrast-enhancement can differentiate tumors based on lymphocyte burden. High mutational load transplant soft tissue sarcomas were initiated in Rag2+/− and Rag2−/− mice to model varying lymphocyte burden. Mice received radiation therapy (20 Gy) to the tumor-bearing hind limb and were injected with a liposomal iodinated contrast agent. Five days later, animals underwent conventional micro-CT imaging using an energy integrating detector (EID) and spectral micro-CT imaging using a photon-counting detector (PCD). Tumor volumes and iodine uptakes were measured. The radiomic features (RF) were grouped into feature-spaces corresponding to EID, PCD, and spectral decomposition images. The RFs were ranked to reduce redundancy and increase relevance based on TL burden. A stratified repeated cross validation strategy was used to assess separation using a logistic regression classifier. Tumor iodine concentration was the only significantly different conventional tumor metric between Rag2+/− (TLs present) and Rag2−/− (TL-deficient) tumors. The RFs further enabled differentiation between Rag2+/− and Rag2−/− tumors. The PCD-derived RFs provided the highest accuracy (0.68) followed by decomposition-derived RFs (0.60) and the EID-derived RFs (0.58). Such non-invasive approaches could aid in tumor stratification for cancer therapy studies.
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影响因子：
3.8
作者：
Lafata, Kyle J.;Chang, Yushi;Wang, Chunhao;Mowery, Yvonne M.;Vergalasova, Irina;Niedzwiecki, Donna;Yoo, David S.;Liu, Jian-Guo;Brizel, David M.;Yin, Fang-Fang
通讯作者：
Yin, Fang-Fang
影响因子：
5.9
作者：
Anderson, N. G.;Butler, A. P.;Butler, P. H.
通讯作者：
Butler, P. H.
影响因子：
12.4
作者：
Ashton JR;Castle KD;Qi Y;Kirsch DG;West JL;Badea CT
通讯作者：
Badea CT
影响因子：
2.3
作者：
Corradetti, Michael N.;Torok, Jordan A.;Nixon, Andrew B.
通讯作者：
Nixon, Andrew B.
影响因子：
6.7
作者：
Hendry S;Salgado R;Gevaert T;Russell PA;John T;Thapa B;Christie M;van de Vijver K;Estrada MV;Gonzalez-Ericsson PI;Sanders M;Solomon B;Solinas C;Van den Eynden GGGM;Allory Y;Preusser M;Hainfellner J;Pruneri G;Vingiani A;Demaria S;Symmans F;Nuciforo P;Comerma L;Thompson EA;Lakhani S;Kim SR;Schnitt S;Colpaert C;Sotiriou C;Scherer SJ;Ignatiadis M;Badve S;Pierce RH;Viale G;Sirtaine N;Penault-Llorca F;Sugie T;Fineberg S;Paik S;Srinivasan A;Richardson A;Wang Y;Chmielik E;Brock J;Johnson DB;Balko J;Wienert S;Bossuyt V;Michiels S;Ternes N;Burchardi N;Luen SJ;Savas P;Klauschen F;Watson PH;Nelson BH;Criscitiello C;O'Toole S;Larsimont D;de Wind R;Curigliano G;André F;Lacroix-Triki M;van de Vijver M;Rojo F;Floris G;Bedri S;Sparano J;Rimm D;Nielsen T;Kos Z;Hewitt S;Singh B;Farshid G;Loibl S;Allison KH;Tung N;Adams S;Willard-Gallo K;Horlings HM;Gandhi L;Moreira A;Hirsch F;Dieci MV;Urbanowicz M;Brcic I;Korski K;Gaire F;Koeppen H;Lo A;Giltnane J;Rebelatto MC;Steele KE;Zha J;Emancipator K;Juco JW;Denkert C;Reis-Filho J;Loi S;Fox SB
通讯作者：
Fox SB