To study the influencing factors and rules of changes in relative spatial position of breast lesions from MR examination posture to operation posture.
Methods:
A total of 81 cases with breast substantial lesion on MR images were chosen
and then breast imaging in supine posture based on chest scan was performed. Nipples were selected as positioning reference point to determine three position lines associated with the lesion center: depth line A
horizontal line B and height line C. The influencing factors of the changes in three position lines in two postures were investi
gated. Paired t test was used to compare the differences in three lines when positioning lesions in the two postures and the difference values were calculated. Single factor variance analysis was used to find the influencing factors of difference values of three position lines.
Results:
Menstrual status
fibroglandular tissue
lesion size
imaging manifestations and pathological type did not influence the changes in three position lines. From MR examination posture to operation posture
all position lines changed. The greatest changes took place in line A and line B. Line A averagely decreased (22.7313.40) mm
and line B averagely increased (12.6711.85) mm. And line C averagely increased (8.1610.87) mm. The lesion location had significant effects on lesion positioning (
P
0.05). Three position lines in the lesions behind nipple areola had the minimal changes
and those in the posterior and lower parts had marked changes.
Conclusion:
The changes in lesion position lines are closely related to lesion location. According to the rules of changes in lesion position lines
correction of the deviation caused by posture could improve the accuracy of resection of lesions.
Magnetic resonance imaging features of breast encapsulated papillary carcinoma and differential diagnosis of solid and cystic breast intraductal papillomatosis
From structure to function: evolution of magnetic resonance technology and transformation of imaging diagnosis
Evaluation of neoadjuvant chemotherapy response for breast cancer with artificial intelligence assisted imaging ZHANG Nan1, ZHANG Yafang2, ZHOU Qi3
Nomogram visualization of peritumoral infiltration risk in glioblastoma using fused contrast-enhanced ultrasound and contrast-enhanced MRI
Diagnostic value of ultrasonic VTIQ combined with MRI in axillary lymph node metastasis of breast cancer
Related Author
LIU Weixiao
LIU Chunling
LIU Zaiyi
WU Lei
LI Jiao
YE Weitao
LIANG Changhong
MA Qifan
Related Institution
Graduate College, Shantou University Medical College
Department of Radiology, Guangdong Provincial People&rsquo
Medical College, South China University of Technology
Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine
Department of Breast Surgery, Tangshan People's Hospital