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dc.contributor.authorCindil, Emetullah
dc.contributor.authorAgacayak, Filiz
dc.contributor.authorOzturk, Alper
dc.contributor.authorIlgun, Serkan
dc.contributor.authorUcuncu, Muhammed
dc.contributor.authorIyigun, Zeynep Erdogan
dc.contributor.authorOrdu, Cetin
dc.contributor.authorPilanci, Kezban Nur
dc.contributor.authorAlco, Gul
dc.contributor.authorGültekin, Serap
dc.contributor.authorOzmen, Vahit
dc.contributor.authorAktepe, Fatma
dc.contributor.authorSoybir, Gursel
dc.contributor.authorCelebi, Filiz
dc.date.accessioned2021-03-02T19:15:38Z
dc.date.available2021-03-02T19:15:38Z
dc.identifier.citationCelebi F., Agacayak F., Ozturk A., Ilgun S., Ucuncu M., Iyigun Z. E. , Ordu C., Pilanci K. N. , Alco G., Gültekin S., et al., "Usefulness of imaging findings in predicting tumor-infiltrating lymphocytes in patients with breast cancer", EUROPEAN RADIOLOGY, cilt.30, ss.2049-2057, 2020
dc.identifier.issn0938-7994
dc.identifier.otherav_9fe042f2-11d6-472b-b183-8ae5be29dee5
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/5439
dc.identifier.urihttps://doi.org/10.1007/s00330-019-06516-x
dc.description.abstractObjectives Tumor-infiltrating lymphocytes (TILs) have been determined as a new prognostic indicator of immunotherapy response in breast cancer (BC). The aim of this study is to investigate the effectiveness of imaging features in predicting the TIL levels in invasive BC patients. Methods A total of 158 patients with invasive BC were included in our study. All lesions were evaluated based on the BIRADS lexicon. US was performed for all the patients and 89 of them underwent MRI. The histologic stromal TIL (sTIL) levels were assessed and associations between the sTIL levels and imaging features were evaluated. Results Tumors with high sTIL levels had more circumscribed margins, round shape, heterogeneous echogenicity, and larger size on ultrasonography (p < 0.005). There was a statistically significant positive correlation between the sTIL levels and ADC value (p < 0.001). Tumors with high sTIL levels had significantly more homogeneous enhancement than the tumors with low sTIL levels (p = 0.001). Logistic regression analysis showed that the ADC was the most statistically significant parameter in predicting the sTIL levels (the odds ratio was 90.952; p = 0.002). The optimal cutoff value for ADC in predicting low and high sTIL levels was found to be 0.87 x 10(-3) mm(2) s(-1) (AUC = 0.726, 73% specificity, and 60% sensitivity). Conclusions Imaging findings, especially the ADC, may play an important role as an adjunct tool in cases of uncertain situations and may improve the accuracy of biopsy results. The prediction of sTIL levels using imaging findings may give an opportunity to predict prognosis.
dc.language.isoeng
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectNükleer Tıp
dc.subjectRadiology, Nuclear Medicine and Imaging
dc.subjectRADYOLOJİ, NÜKLEER TIP ve MEDİKAL GÖRÜNTÜLEME
dc.subjectRadiological and Ultrasound Technology
dc.subjectHealth Sciences
dc.titleUsefulness of imaging findings in predicting tumor-infiltrating lymphocytes in patients with breast cancer
dc.typeMakale
dc.relation.journalEUROPEAN RADIOLOGY
dc.contributor.departmentGrup Florence Nigtingale Hospital Turkey , ,
dc.identifier.volume30
dc.identifier.startpage2049
dc.identifier.endpage2057
dc.contributor.firstauthorID2503370


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