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dc.contributor.authorOral, Ethem Nezih
dc.contributor.authorKeskin, Metin
dc.contributor.authorKulle, Cemil Burak
dc.contributor.authorSakin, Rabia Nergiz Dagoglu
dc.contributor.authorBakir, Baris
dc.contributor.authorKartal, Merve Gulbiz
dc.contributor.authorKaraman, Sule
dc.contributor.authorAzamat, Sena
dc.contributor.authorAzamat, Ibrahim Fethi
dc.contributor.authorERTAŞ, GÖKHAN
dc.date.accessioned2023-02-21T09:24:39Z
dc.date.available2023-02-21T09:24:39Z
dc.date.issued2022
dc.identifier.citationAzamat S., Karaman S., Azamat I. F., ERTAŞ G., Kulle C. B., Keskin M., Sakin R. N. D., Bakir B., Oral E. N., Kartal M. G., "Complete Response Evaluation of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy Using Textural Features Obtained from T2 Weighted Imaging and ADC Maps", CURRENT MEDICAL IMAGING, cilt.18, sa.10, ss.1061-1069, 2022
dc.identifier.issn1573-4056
dc.identifier.othervv_1032021
dc.identifier.otherav_2da6345b-8193-445f-85ed-f15e4a40bf3b
dc.identifier.urihttp://hdl.handle.net/20.500.12627/187453
dc.identifier.urihttps://doi.org/10.2174/1573405618666220303111026
dc.description.abstractBackground: The prediction of pathological responses for locally advanced rectal cancer using magnetic resonance imaging (MRI) after neoadjuvant chemoradiotherapy (CRT) is a challenging task for radiologists, as residual tumor cells can be mistaken for fibrosis. Texture analysis of MR images has been proposed to understand the underlying pathology. Objective: This study aimed to assess the responses of lesions to CRT in patients with locally advanced rectal cancer using the first-order textural features of MRI T2-weighted imaging (T2-WI) and apparent diffusion coefficient (ADC) maps. Methods: Forty-four patients with locally advanced rectal cancer (median age: 57 years) who underwent MRI before and after CRT were enrolled in this retrospective study. The first-order textural parameters of tumors on T2-WI and ADC maps were extracted. The textural features of lesions in pathologic complete responders were compared to partial responders using Student's t- or Mann-Whitney U tests. A comparison of textural features before and after CRT for each group was performed using the Wilcoxon rank sum test. Receiver operating characteristic curves were calculated to detect the diagnostic performance of the ADC. Results: Of the 44 patients evaluated, 22 (50%) were placed in a partial response group and 50% were placed in a complete response group. The ADC changes of the complete responders were statistically more significant than those of the partial responders (P = 0.002). Pathologic total response was predicted with an ADC cut-off of 1310 x 10(-6) mm(2)/s, with a sensitivity of 72%, a specificity of 77%, and an accuracy of 78.1% after neoadjuvant CRT. The skewness of the T2-WI before and after neoadjuvant CRT showed a significant difference in the complete response group compared to the partial response group (P = 0.001 for complete responders vs. P = 0.482 for partial responders). Also, relative T2-WI signal intensity in the complete response group was statistically lower than that of the partial response group after neoadjuvant CRT (P = 0.006). Conclusion: As a result of the conversion of tumor cells to fibrosis, the skewness of the T2-WI before and after neoadjuvant CRT was statistically different in the complete response group compared to the partial response group, and the complete response group showed statistically lower relative T2-WI signal intensity than the partial response group after neoadjuvant CRT. Additionally, the ADC cut-off value of 1310 x 10(-6) mm(2)/s could be used as a marker for a complete response along with absolute ADC value changes within this dataset.
dc.language.isoeng
dc.subjectRadyoloji ve Ultrason Teknolojisi
dc.subjectRadyoloji, Nükleer Tıp ve Görüntüleme
dc.subjectDahili Tıp Bilimleri
dc.subjectNükleer Tıp
dc.subjectSağlık Bilimleri
dc.subjectTıp
dc.subjectKlinik Tıp (MED)
dc.subjectKlinik Tıp
dc.subjectRADYOLOJİ, NÜKLEER TIP ve MEDİKAL GÖRÜNTÜLEME
dc.titleComplete Response Evaluation of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy Using Textural Features Obtained from T2 Weighted Imaging and ADC Maps
dc.typeMakale
dc.relation.journalCURRENT MEDICAL IMAGING
dc.contributor.departmentİstanbul Üniversitesi , Onkoloji Enstitüsü , Teşhis Tedavi Ve Bakım Hizmetleri
dc.identifier.volume18
dc.identifier.issue10
dc.identifier.startpage1061
dc.identifier.endpage1069
dc.contributor.firstauthorID3454741


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