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Computed tomography radiomics for residual positron emission tomography-computed tomography uptake in lymph nodes after treatment

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dc.contributor.authorChu Hyun Kim-
dc.contributor.authorHyunjin Park-
dc.contributor.authorHo Yun Lee-
dc.contributor.authorJoong Hyun Ahn-
dc.contributor.authorSeung Hak Lee-
dc.contributor.authorInsuk Sohn-
dc.contributor.authorJoon Young Choi-
dc.contributor.authorHong Kwan Kim-
dc.date.accessioned2020-12-22T06:26:10Z-
dc.date.accessioned2020-12-22T06:26:10Z-
dc.date.available2020-12-22T06:26:10Z-
dc.date.available2020-12-22T06:26:10Z-
dc.date.created2020-12-09-
dc.date.issued2020-12-
dc.identifier.issn2072-6694-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/8429-
dc.description.abstract© 2020 by the authors. Although a substantial decrease in 2-[fluorine-18]fluoro-2-deoxy-d-glucose (FDG) uptake on positron emission tomography-computed tomography (PET-CT) indicates a promising metabolic response to treatment, predicting the pathologic status of lymph nodes (LN) remains challenging. We investigated the potential of a CT radiomics approach to predict the pathologic complete response of LNs showing residual uptake after neoadjuvant concurrent chemoradiotherapy (NeoCCRT) in patients with non-small cell lung cancer (NSCLC). Two hundred and thirty-seven patients who underwent NeoCCRT for stage IIIa NSCLC were included. Two hundred fifty-two CT radiomics features were extracted from LNs showing remaining positive FDG uptake upon restaging PET-CT. A multivariable logistic regression analysis of radiomics features and clinicopathologic characteristics was used to develop a prediction model. Of the 237 patients, 135 patients (185 nodes) met our inclusion criteria. Eighty-seven LNs were proven to be malignant (47.0%, 87/185). Upon multivariable analysis, metastatic LNs were significantly prevalent in females and patients with adenocarcinoma (odds ratio (OR) = 2.02, 95% confidence interval (CI) = 0.88–4.62 and OR = 0.39, 95% CI = 0.19–0.77 each). Metastatic LNs also had a larger maximal 3D diameter and higher cluster tendency (OR = 9.92, 95% CI = 3.15–31.17 and OR = 2.36, 95% CI = 1.22–4.55 each). The predictive model for metastasis showed a discrimination performance with an area under the receiver operating characteristic curve of 0.728 (95% CI = 0.654–0.801, p value < 0.001). The radiomics approach allows for the noninvasive detection of metastases in LNs with residual FDG uptake after the treatment of NSCLC patients-
dc.description.uri1-
dc.language영어-
dc.publisherMDPI-
dc.titleComputed tomography radiomics for residual positron emission tomography-computed tomography uptake in lymph nodes after treatment-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000602274300001-
dc.identifier.scopusid2-s2.0-85096861032-
dc.identifier.rimsid73943-
dc.contributor.affiliatedAuthorHyunjin Park-
dc.identifier.doi10.3390/cancers12123564-
dc.identifier.bibliographicCitationCancers, v.12, no.12, pp.3564-
dc.citation.titleCancers-
dc.citation.volume12-
dc.citation.number12-
dc.citation.startPage3564-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorImaging-
dc.subject.keywordAuthorLung cancer diagnosis-
dc.subject.keywordAuthorLymph nodes-
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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