A Study of Correlation between Mammographic and Ultrasonographic Features and Histologic Grade in Invasive Ductal Carcinoma of the Breast
Correlation between Mammographic and Ultrasonographic Features Invasive Ductal Carcinoma
Keywords:
Invasive ductal carcinoma, Mammographic features, Ultrasonographic features, Histologic gradeAbstract
The most common type of breast cancer is invasive ductal carcinoma, which is detected primarily through mammographic, ultrasonographic features, and histologic grade. These diagnostic methods enable the early detection of breast cancer, but histopathological examination requires a significant amount of time for results. This study aimed to study the correlation between mammographic and ultrasonographic features and histologic grade of invasive ductal carcinoma detection for prognostication. Mammographic and ultrasonographic features of invasive ductal carcinomas diagnosed in 100 representative women patients between July 2020 and July 2022 were retrospectively reviewed. One hundred female patients with invasive ductal carcinomas were classified into histological grades: grade 1, 8%; grade 2, 55%; and grade 3, 37%. The chi-square test identified statistically significant differences (p < 0.05) in the mammographic and ultrasonographic margins (spiculated and microlobulated), equal density, and posterior shadowing of grade 1 tumors compared to others (p < 0.05). Multivariate analyses revealed a statistically significant correlation between high breast density and calcification with grade 3 tumors. The mammographic and ultrasonographic features correlate with histologic grade and effectively predict histologic grade in invasive ductal carcinoma. Consequently, these serve as a valuable dataset for training the artificial intelligence models to identify and categorize histologic grade in Invasive ductal carcinoma in the future.
References
สถาบันมะเร็งแห่งชาติ กรมการแพทย์ กระทรวงสาธารณสุข. ทะเบียนมะเร็งระดับโรงพยาบาล พ.ศ. 2563. กรุงเทพฯ: หน่วยงานเวชระเบียนและฐานข้อมูลโรคมะเร็ง กลุ่มงานดิจิทัลการแพทย์. [ออนไลน์]. 2564; [สืบค้น 11 พ.ย. 2566]. เข้าถึงได้ที่: URL: https://www.nci.go.th/e_book/hosbased_2563/index.html.
National Cancer Institute, Department of Medical Services, Ministry of Public Health. Cancer in Thailand Vol.X, 2016-2018. Bangkok, Thailand: Medical Record and Databased Cancer Unit. [online]. 2021; [cited 2023 Nov 11]. Available from: URL: https://www.nci.go.th/e_book/cit_x/index.html.
American Cancer Society. Understanding a breast cancer diagnosis. [online]. 2022; [cited 2023 Nov 11]; [39 screens]. Available from: URL: https://www.cancer.org/content/dam/CRC/PDF/Public/8580.00.pdf.
โรงพยาบาลศิริราชปิยมหาราชการุณย์ คณะแพทยศาสตร์ศิริราชพยาบาล มหาวิทยาลัยมหิดล. แมมโมแกรม ตรวจเร็ว แม่นยำ ปลอดภัย. [ออนไลน์]. 2564; [สืบค้น 3 พ.ย. 2565]; [1 หน้า]. เข้าถึงได้ที่: URL: https://www.siphhospital.com/th/news/article/share/mammogram.
Kim H, Lim J, Kim HG, Lim Y, Seo BK, Bae MS. Deep learning analysis of mammography for breast cancer risk prediction in Asian women. Diagnostics. 2023;13(13):2247. (9 pages).
มูลนิธิถันยรักษ์ในพระราชูปถัมภ์ สมเด็จพระศรีนครินทราบรมราชชนนี. อัลตราซาวนด์. [ออนไลน์]. 2566; [สืบค้น 11 พ.ย. 2566]; [1 หน้า]. เข้าถึงได้ที่: URL: https://www.thanyarak.or.th/serviceultrasound-ultrasound.php.
Fox K, Nead K. Nottingham score for breast cancer. [online]. [cited 2023 Nov 11]; [ 1 screen]. Available from: URL: https://www.oncolink.org/frequently-asked-questions/cancers/nottingham-score-for-breast-cancer.
Angulo PA, Castellano CR, Sanchez-Camacho MD, Hernandez LC, Martínez VJ. To detect or not to detect, that is the question: an ap-proach to breast cancers not visible on digital breast tomosynthesis. European Congress of Radiology-ECR 2019.
D’Orsi CJ, Sickles EA, Mendelson EB, Morris EA, et al. ACR BI-RADS® atlas, breast imaging reporting and data system. Reston, VA: American College of Radiology; 2013
ACR BI-RADS atlas: breast imaging reporting and data system. 5th ed: Reston, VA: American College of Radiology; 2013.
Rakha EA, El-Sayed ME, Lee AHS, Elston CW, Grainge MJ, Hodi Z, et al. Prognostic significance of Nottingham histologic grade in invasive breast carcinoma. J Clin Oncol 2008; 26(19): 3153-8.
Shoma A, Moutamed A, Ameen M, Abdelwahab A. Ultrasound for accurate measurement of invasive breast cancer tumor size. Breast J 2006; 12(3): 252-6.
Ko KH, Jung HK, Park AY, Koh JE, Jang H, Kim Y. Accuracy of tumor size measurement on shear wave elastography (SWE): Correlation with histopathologic factors of invasive breast cancer. Medicine 2020; 99(44): e23023. (6 pages).
Sajjad B, Farooqi N, Rehman B, Khalid IB, Urooj N, Sajjad S, et al. Correlation of breast density grade on mammogram with diagnosed breast cancer: a retrospective cross-sectional study. Cureus 2022; 14(7): e27028. (7 pages).
Suvannarerg V, Tangcharoensathien W, Thiravit S, Tanasoontrarat W, Muangsomboon K, Korparaphong P. The association between mammographic and ultrasound features and histologic grade in invasive ductal carcinoma of the breast. Siriraj Med J 2018; 70(2): 152-8.
Gupta K, Kumaresan M, Venkatesan B, Chandra T, Patil A, Menon M. Sonographic features of invasive ductal breast carcinomas predictive of malignancy grade. Indian J Radiol Imaging 2018; 28(1): 123-31.
Shin HJ, Kim HH, Huh MO, Kim MJ, Yi A, Kim H, et al. Correlation between mammographic and sonographic findings and prognostic factors in patients with node-negative invasive breast cancer. Br J Radiol 2011; 84(997): 19-30.
Lamb PM, Perry NM, Vinnicombe SJ, Wells CA. Correlation between ultrasound characteristics, mammographic findings and histological grade in patients with invasive ductal carcinoma of the breast. Clin Radiol 2000; 55(1): 40-4.
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