直近一年間の累計
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ダウンロード数 : ?
ID 117012
タイトル別表記
Macroscopic findings for breast VAB specimens
著者
Izumori, Ayumi Takamatsu Heiwa Hospital|Tokushima Breastcare Clinic
Takahashi, Masako Tokushima Breastcare Clinic
兼松, 美幸 Japanese Red Cross Tokushima Hospital KAKEN研究者をさがす
Sasa, Mitsunori Tokushima Breastcare Clinic
キーワード
VAB
skill of the operator
histopathological findings
accuracy
sample errors
資料タイプ
学術雑誌論文
抄録
Purpose : Ultrasound-guided breast tissue biopsy is an essential technique for diagnosing breast disease, but sample errors reduce its accuracy. This study investigated whether the histopathological results can be inferred from the macroscopic findings for Ultrasound-guided breast Vacuum Assisted Biopsy (VAB) specimens. Methods: Biopsy specimens from 101 patients who underwent mammary gland VAB were photographed with a smartphone, and the relationships between the macroscopic findings and the pathological results were examined. Results : A significant difference was observed with regard to the presence / absence of turbidity: malignancy was detected in 33 / 37 (89%) specimens with turbidity and in 2 / 47 (4%) cases without turbidity (p < 0.001). A significant difference was also observed regarding the surface properties : malignancy was detected in 14 / 70 (19%) smooth specimens and in 24 / 29 (83%) rough specimens (p < 0.001). Also, malignancy was detected in 11 / 13 (85%) specimens with white spots, and the difference was significant (p < 0.001). In addition, the characteristics of intraductal papilloma, fibroadenoma, and mastopathy could be confirmed by macroscopic findings. Conclusions : When needle–biopsy of a lesion that is targeted for resection yields macroscopic findings that match the predicted histopathological findings, it can be thought that the biopsy had been properly performed. This means that false–negatives due to poor specimens can be prevented.
掲載誌名
The Journal of Medical Investigation
ISSN
13496867
13431420
cat書誌ID
AA11166929
出版者
Tokushima University Faculty of Medicine
69
1-2
開始ページ
51
終了ページ
56
並び順
51
発行日
2022-02
EDB ID
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
病院
医学系