Abstract
Background: The aim of this study was to apply perfusion techniques to breast tumors using a prototype 256-row multislice computed tomography (CT) scanner (which allows a wide range of 128 mm to be scanned and can provide whole-breast perfusion maps without any dead angles) to improve contrast and assess the possibility of precisely depicting the extent of breast cancer. Patients and methods: The study group included seven patients with breast cancer who were scheduled to undergo radical surgery and radiotherapy. Dynamic scanning was performed using a 256-row multislice CT scanner during normal respiration. Volume perfusion images of the entire breast were obtained using the maximum slope method. Perfusion map images and early-phase breast CT images at 54 s were compared by means of pathological examination. Results: All breast cancers could be distinguished from normal mammary glands based on the perfusion value. The extent of cancer depicted in perfusion images showed excellent agreement with the pathology findings for invasive ductal carcinoma and ductal carcinoma in situ. In three patients, all ductal spread, parts of which were not visualized by early-phase CT, were depicted in volume perfusion images. Simulation analysis suggested that perfusion maps could be generated with fewer scanning points. Conclusion: The results of the present study suggest that volume perfusion imaging may be useful for depicting the extent of breast cancer, with excellent sensitivity. Further research is needed to determine the clinical relevance of these findings.
| Original language | English |
|---|---|
| Pages (from-to) | 62-67 |
| Number of pages | 6 |
| Journal | Breast Cancer |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2009 |
| Externally published | Yes |
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Keywords
- Breast cancer
- Breast-conserving surgery
- Ductal spread
- Multislice CT
- Perfusion map
ASJC Scopus subject areas
- Oncology
- Radiology Nuclear Medicine and imaging
- Pharmacology (medical)
- Medicine(all)
Cite this
Whole-breast volume perfusion images using 256-row multislice computed tomography : Visualization of lesions with ductal spread. / Akashi-Tanaka, Sadako; Shien, Tadahiko; Tsukagoshi, Shinsuke; Funabasama, Shintaro; Miyagawa, Kunihisa; Terada, Kotoe; Yoshida, Miwa; Hojo, Takashi; Kinoshita, Takayuki; Moriyama, Noriyuki.
In: Breast Cancer, Vol. 16, No. 1, 01.2009, p. 62-67.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Whole-breast volume perfusion images using 256-row multislice computed tomography
T2 - Visualization of lesions with ductal spread
AU - Akashi-Tanaka, Sadako
AU - Shien, Tadahiko
AU - Tsukagoshi, Shinsuke
AU - Funabasama, Shintaro
AU - Miyagawa, Kunihisa
AU - Terada, Kotoe
AU - Yoshida, Miwa
AU - Hojo, Takashi
AU - Kinoshita, Takayuki
AU - Moriyama, Noriyuki
PY - 2009/1
Y1 - 2009/1
N2 - Background: The aim of this study was to apply perfusion techniques to breast tumors using a prototype 256-row multislice computed tomography (CT) scanner (which allows a wide range of 128 mm to be scanned and can provide whole-breast perfusion maps without any dead angles) to improve contrast and assess the possibility of precisely depicting the extent of breast cancer. Patients and methods: The study group included seven patients with breast cancer who were scheduled to undergo radical surgery and radiotherapy. Dynamic scanning was performed using a 256-row multislice CT scanner during normal respiration. Volume perfusion images of the entire breast were obtained using the maximum slope method. Perfusion map images and early-phase breast CT images at 54 s were compared by means of pathological examination. Results: All breast cancers could be distinguished from normal mammary glands based on the perfusion value. The extent of cancer depicted in perfusion images showed excellent agreement with the pathology findings for invasive ductal carcinoma and ductal carcinoma in situ. In three patients, all ductal spread, parts of which were not visualized by early-phase CT, were depicted in volume perfusion images. Simulation analysis suggested that perfusion maps could be generated with fewer scanning points. Conclusion: The results of the present study suggest that volume perfusion imaging may be useful for depicting the extent of breast cancer, with excellent sensitivity. Further research is needed to determine the clinical relevance of these findings.
AB - Background: The aim of this study was to apply perfusion techniques to breast tumors using a prototype 256-row multislice computed tomography (CT) scanner (which allows a wide range of 128 mm to be scanned and can provide whole-breast perfusion maps without any dead angles) to improve contrast and assess the possibility of precisely depicting the extent of breast cancer. Patients and methods: The study group included seven patients with breast cancer who were scheduled to undergo radical surgery and radiotherapy. Dynamic scanning was performed using a 256-row multislice CT scanner during normal respiration. Volume perfusion images of the entire breast were obtained using the maximum slope method. Perfusion map images and early-phase breast CT images at 54 s were compared by means of pathological examination. Results: All breast cancers could be distinguished from normal mammary glands based on the perfusion value. The extent of cancer depicted in perfusion images showed excellent agreement with the pathology findings for invasive ductal carcinoma and ductal carcinoma in situ. In three patients, all ductal spread, parts of which were not visualized by early-phase CT, were depicted in volume perfusion images. Simulation analysis suggested that perfusion maps could be generated with fewer scanning points. Conclusion: The results of the present study suggest that volume perfusion imaging may be useful for depicting the extent of breast cancer, with excellent sensitivity. Further research is needed to determine the clinical relevance of these findings.
KW - Breast cancer
KW - Breast-conserving surgery
KW - Ductal spread
KW - Multislice CT
KW - Perfusion map
UR - http://www.scopus.com/inward/record.url?scp=59649101626&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=59649101626&partnerID=8YFLogxK
U2 - 10.1007/s12282-008-0076-6
DO - 10.1007/s12282-008-0076-6
M3 - Article
C2 - 18818987
AN - SCOPUS:59649101626
VL - 16
SP - 62
EP - 67
JO - Breast Cancer
JF - Breast Cancer
SN - 1340-6868
IS - 1
ER -