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T2-weighted signal intensity-selected volumetry for prediction of pathological complete response after preoperative chemoradiotherapy in locally advanced rectal cancer

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dc.contributor.authorKim, S-
dc.contributor.authorHan, K-
dc.contributor.authorSeo, N-
dc.contributor.authorKim, HJ-
dc.contributor.authorKim, MJ-
dc.contributor.authorKoom, WS-
dc.contributor.authorAhn, JB-
dc.contributor.authorLim, JS-
dc.date.accessioned2019-11-13T04:26:54Z-
dc.date.available2019-11-13T04:26:54Z-
dc.date.issued2018-
dc.identifier.issn0938-7994-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/17504-
dc.description.abstractOBJECTIVES: To evaluate the diagnostic value of signal intensity (SI)-selected volumetry findings in T2-weighted magnetic resonance imaging (MRI) as a potential biomarker for predicting pathological complete response (pCR) to preoperative chemoradiotherapy (CRT) in patients with rectal cancer.
METHODS: Forty consecutive patients with pCR after preoperative CRT were compared with 80 age- and sex-matched non-pCR patients in a case-control study. SI-selected tumor volume was measured on post-CRT T2-weighted MRI, which included voxels of the treated tumor exceeding the SI (obturator internus muscle SI + [ischiorectal fossa fat SI - obturator internus muscle SI] x 0.2). Three blinded readers independently rated five-point pCR confidence scores and compared the diagnostic outcome with SI-selected volumetry findings. The SI-selected volumetry protocol was validated in 30 additional rectal cancer patients.
RESULTS: The area under the receiver-operating characteristic curve (AUC) of SI-selected volumetry for pCR prediction was 0.831, with an optimal cutoff value of 649.6 mm(3) (sensitivity 0.850, specificity 0.725). The AUC of the SI-selected tumor volume was significantly greater than the pooled AUC of readers (0.707, p < 0.001). At this cutoff, the validation trial yielded an accuracy of 0.87.
CONCLUSION: SI-selected volumetry in post-CRT T2-weighted MRI can help predict pCR after preoperative CRT in patients with rectal cancer.
KEY POINTS: * Fibrosis and viable tumor MRI signal intensities (SIs) are difficult to distinguish. * T2 SI-selected volumetry yields high diagnostic performance for assessing pathological complete response. * T2 SI-selected volumetry is significantly more accurate than readers and non-SI-selected volumetry. * Post-chemoradiation therapy T2-weighted MRI SI-selected volumetry facilitates prediction of pathological complete response.
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dc.language.isoen-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHCase-Control Studies-
dc.subject.MESHChemoradiotherapy-
dc.subject.MESHColectomy-
dc.subject.MESHDiffusion Magnetic Resonance Imaging-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNeoadjuvant Therapy-
dc.subject.MESHNeoplasm Staging-
dc.subject.MESHPostoperative Period-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHROC Curve-
dc.subject.MESHRectal Neoplasms-
dc.subject.MESHRectum-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHTreatment Outcome-
dc.titleT2-weighted signal intensity-selected volumetry for prediction of pathological complete response after preoperative chemoradiotherapy in locally advanced rectal cancer-
dc.typeArticle-
dc.identifier.pmid29858637-
dc.subject.keywordDrug therapy-
dc.subject.keywordMagnetic resonance imaging-
dc.subject.keywordRectal neoplasms-
dc.subject.keywordNeoadjuvant therapy-
dc.subject.keywordTumor burden-
dc.contributor.affiliatedAuthor김, 혜진-
dc.type.localJournal Papers-
dc.identifier.doi10.1007/s00330-018-5520-1-
dc.citation.titleEuropean radiology-
dc.citation.volume28-
dc.citation.number12-
dc.citation.date2018-
dc.citation.startPage5231-
dc.citation.endPage5240-
dc.identifier.bibliographicCitationEuropean radiology, 28(12). : 5231-5240, 2018-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.identifier.eissn1432-1084-
dc.relation.journalidJ009387994-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Radiology
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