RSNA 2012 

Abstract Archives of the RSNA, 2012


SSE01-06

MRI Morphologic and Dynamic Features of Breast Cancer to Predict the Axillary Nodal Status (ANS)

Scientific Formal (Paper) Presentations

Presented on November 26, 2012
Presented as part of SSE01: Breast Imaging (MRI: Uses in Newly Diagnosed Breast Cancer)

Participants

Luca Alessandro Carbonaro MD, Presenter: Research Consultant, im3D SpA
Sara Vigano MD, Abstract Co-Author: Nothing to Disclose
Henrida Kule MD, Abstract Co-Author: Nothing to Disclose
Giovanni Di Leo, Abstract Co-Author: Nothing to Disclose
Francesco Sardanelli MD, Abstract Co-Author: Consultant, Bracco Group Research Grant, Bracco Group Consultant, Bayer AG Research Grant, Bayer AG Research Grant, IMS International Medical Scientific

PURPOSE

To use morphologic and dynamic MRI features of the index lesion to predict ANS.

METHOD AND MATERIALS

Seventy patients (median age 60 yrs) were studied at 1.5 T with axial STIR and axial or coronal T1w gradient-echo dynamic sequences (gadobenate dimeglumine, 0.1 mmol/kg). All index lesions were evaluated using morphologic and dynamic descriptors by one reader with 5 years of experience in breast MRI; lesion size at maximum intensity projection of subtracted images was recorded. ANS was defined on the basis of sentinel node biopsy (SNB) or axillary dissection. Correlation between lesion features and ANS was estimated using χ2 and Mann-Whitney U tests. Subsequently, considering only variables significantly correlated to ANS, we arbitrarily fixed the positive predictive value (PPV) and the negative predictive value (NPV) at 100% and retrospectively reconstruct the corresponding diagnostic tests (respectively SPIN and SNOUT test). Ultrasonographic (US) and MRI suspicious lymph nodes were registered and compared with the new diagnostic criteria obtained at 100% predictive values.

RESULTS

At pathology after surgical excision we had: 38 invasive ductal carcinomas (IDC), 7 invasive lobular carcinomas, 16 IDC associated with ductal carcinoma in situ (DCIS), and 9 pure DCIS. SNB was negative (N-) in 56 patients while 24 patients had axillary nodal metastasis (N+) at histopathology. The ANS was significantly correlated to lesion size (P=.002) and to dynamic curve type (P=.029). To a fixed 100% PPV, corresponded a diagnostic combined criteria of a lesions size > 30 mm and a type3 dynamic curve (4/24 lesions, 17%); all these patients had N+ with no suspicious features at US or MRI. To a fixed 100% NPV corresponded a diagnostic combined criteria of a lesions size ≤ 14 mm and a type-1 or 2 dynamic curve (10/46 lesions, 22%).

CONCLUSION

Using size and dynamic enhancement descriptors of the index lesion, 17% of N+ could be recognized and treated directly with axillary dissection saving cost and time for SNB while 22% of N- could be assessed as true negative without any surgical procedure.

CLINICAL RELEVANCE/APPLICATION

Lesion size and dynamic enhancement descriptors can be used to predict ANS and avoid unnecessary sentinel node biopsy for both N+ and N- women in about 40% of patients.

Cite This Abstract

Carbonaro, L, Vigano, S, Kule, H, Di Leo, G, Sardanelli, F, MRI Morphologic and Dynamic Features of Breast Cancer to Predict the Axillary Nodal Status (ANS).  Radiological Society of North America 2012 Scientific Assembly and Annual Meeting, November 25 - November 30, 2012 ,Chicago IL. http://archive.rsna.org/2012/12025065.html