Treatment-planning CT scan for breast and chest-wall irradiation: how many unexpected abnormalities could we detect?
OBJECTIVE
The objective of this study was to determine whether diagnostic interpretation of contrast-enhanced computed tomography (CT) images for radiation planning in breast irradiation detects a considerable number of unexpected abnormalities.


METHODS
One hundred thirty-one patients underwent treatment-planning CT scans for breast or chest-wall irradiation. A diagnostic radiologist prospectively reviewed each scan and determined the incidence of previously unknown findings, the impacts of such findings on treatment, and the need for additional radiological studies based on the CT interpretation.


RESULTS
Eighty-six scans were prospectively classified as negative findings, 27 scans were classified as incidental benign findings, 26 scans were classified as medically important findings of which only one case was metastatic.


CONCLUSIONS
The incidence of clinically important coexistent diseases in CT scans for radiation planning in breast irradiation is very low, although the CT scans were performed with intravenous contrast administration insofar as the preoperative evaluation was appropriate.
Kim
Min Jung
MJ
Department of Diagnostic Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 120-752, South Korea. ekkim@yuhs.ac
Kim
Eun-Kyung
EK
Keum
Ki Chang
KC
Park
Byeong-Woo
BW
Son
Eun Ju
EJ
Oh
Ki Keun
KK
D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000453:epidemiology* / Q000532:radiotherapy; D005260:Female; D006801:Humans; D015994:Incidence; D033162:Incidental Findings; D007723:Korea / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D013902:Radiography, Thoracic / Q000706:statistics & numerical data*; D011880:Radiotherapy Planning, Computer-Assisted / Q000706:statistics & numerical data*; D013899:Thoracic Neoplasms / Q000000981:diagnostic imaging* / Q000453:epidemiology*; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data*