The role of breast MR imaging in pre-operative determination of invasive disease for ductal carcinoma in situ diagnosed by needle biopsy.
Objectives: To evaluate whether magnetic resonance (MR) imaging features can predict the presence of occult invasion in cases of biopsy-proven pure ductal carcinoma in situ (DCIS).Methods: We retrospectively reviewed 92 biopsy-proven pure DCIS in 92 women who underwent MR imaging. The following MR i...
| Published in: | European Radiology Vol. 22; no. 6; pp. 1255 - 1265 |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Jun2012
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104566339&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104566339 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jun2012 vid: 22 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104566339 NLM22205445 2011548252 10.1007/s00330-011-2357-2 NLM22205445 104566339 ppf: 1255 ppct: 10 formats: fmt: @attributes: type: P tig: atl: The role of breast MR imaging in pre-operative determination of invasive disease for ductal carcinoma in situ diagnosed by needle biopsy. aug: au: Goto M Yuen S Akazawa K Nishida K Konishi E Kajihara M Shinkura N Yamada K Goto, Mariko Yuen, Sachiko Akazawa, Kentaro Nishida, Kaori Konishi, Eiichi Kajihara, Mariko Shinkura, Nobuhiko Yamada, Kei affil: Departments of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi Hirokoji, Kamigyoku, 602-8566 Kyoto, Japan sug: subj: Biopsy, Needle Statistics and Numerical Data Breast Neoplasms Epidemiology Breast Neoplasms Pathology Carcinoma, Ductal Epidemiology Carcinoma, Ductal Pathology Magnetic Resonance Imaging Statistics and Numerical Data Adult Aged Breast Neoplasms Surgery Carcinoma, Ductal Surgery Female Human Incidence Japan Middle Age Neoplasm Invasiveness Preoperative Care Statistics and Numerical Data Prognosis Reproducibility of Results Risk Assessment Risk Factors Sensitivity and Specificity Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female ab: Objectives: To evaluate whether magnetic resonance (MR) imaging features can predict the presence of occult invasion in cases of biopsy-proven pure ductal carcinoma in situ (DCIS).Methods: We retrospectively reviewed 92 biopsy-proven pure DCIS in 92 women who underwent MR imaging. The following MR imaging findings were compared between confirmed DCIS and invasive breast cancer (IBC): lesion size, type, morphological and kinetic assessments by ACR BI-RADS MRI, and findings of fat-suppressed T2-weighted (FS-T2W) imaging.Results: Sixty-eight of 92 (74%) were non-mass-like enhancements (NMLE) and 24 were mass lesions on MR imaging. Twenty-one of 68 (31%) NMLE and 13 of 24 (54%) mass lesions were confirmed as IBC. In NMLE lesions, large lesions (P = 0.007) and higher signal intensities (SI) on FS-T2W images (P = 0.032) were significantly associated with IBC. Lesion size remained a significant independent predictor of invasion in multivariate analysis (P = 0.032), and combined with FS-T2W SIs showed slightly higher observer performances (area under the curve, AUC, 0.71) than lesion size alone (AUC 0.68). There were no useful findings that enabled the differentiation of mass-type lesions.Conclusions: Breast MR imaging is potentially useful to predict the presence of occult invasion in biopsy-proven DCIS with NMLE.Key Points: MR mammography permits more precise lesion assessment including ductal carcinoma in situ A correct diagnosis of occult invasion before treatment is important for clinicians This study showed the potential of MR mammography to diagnose occult invasion Treatment and/or aggressive biopsy can be given with greater confidence MR mammography can lead to more appropriate management of patients. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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