scholarly journals Role of quantitative analysis of T2 relaxation time in differentiating benign from malignant breast lesions

2018 ◽  
Vol 46 (5) ◽  
pp. 1928-1935 ◽  
Author(s):  
Li Liu ◽  
Bo Yin ◽  
Kawai Shek ◽  
Daoying Geng ◽  
Yiping Lu ◽  
...  

Objective To investigate the role of quantitative analysis of T2 relaxation time in the magnetic resonance imaging (MRI) diagnosis of breast cancer. Methods The study enrolled patients with clinical breast masses who were examined using MRI at eight different echo times. The differences in T2 relaxation time of benign and malignant breast lesions were analysed. Results A total of 67 patients (67 breast lesions: 46 malignant, 21 benign) were examined. The mean ± SD T2 relaxation time was significantly lower in the 46 malignant lesions compared with the 21 benign lesions (82.69 ± 15.37 ms versus 95.48 ± 26.51 ms, respectively). The area under the curve was 0.731. Using 79.52 ms as the cut-off between benign and malignant breast lesions, a sensitivity of 85.7% and a specificity of 58.7% were obtained. Conclusions There was a significant difference in T2 relaxation time between benign and malignant breast lesions. The specificity of using T2 relaxation time alone for the differentiation of benign from malignant lesions was not high, but it could constitute a new adjunct in the MRI diagnosis of breast cancer.

Author(s):  
Abhishek Saini ◽  
Swaran Kaur Saluja ◽  
MK Garg ◽  
Deepti Agarwal ◽  
Amrita Kulhria ◽  
...  

Introduction: Breast carcinoma demands attention as it causes high morbidity and mortality. It is important to recognise benign lesions to distinguish them from in situ and invasive breast cancer and to assess a patient’s risk of developing breast cancer, so that the most appropriate treatment modality for each case can be established. The p63 has been characterised as a reliable marker of myoepithelial cells of lactiferous duct. It is exclusively expressed in myoepithelial cells of normal breast tissue. Hence, p63 can be of great help in the differential diagnosis involving benign lesions. Also, p63 may aid in distinguishing benign from malignant lesions. Aim: To study the Immunohistochemistry (IHC) expression of p63 in benign and malignant breast lesions. Materials and Methods: The prospective study was conducted on 76 breast specimens for a period of one year, from 1st December 2018 to 30th November 2019 in the Department of Pathology, Bhagat Phool Singh, Government Medical College for Women, Khanpur Kalan, Sonepat, Haryana, India. IHC assessment for p63 nuclear protein was performed. The intensity of p63 expression was evaluated as continuous positive, discontinuous positive and negative. The extent was scored on the basis of percentage of positive cells and assigned a score of negative (0%), 1 (<25%), 2 (26-90%) and 3 (91-100%). Results: Out of 76 cases, 38 cases were diagnosed as benign and 38 cases as malignant. IHC staining with p63 showed nuclear positivity in all benign lesions. Among malignant lesions, four were positive and 34 were negative. Conclusion: According to the above results, p63 is a very useful IHC marker in diagnosing difficult cases, cases of carcinoma in situ, borderline cases and cases with inconclusive histomorphological diagnosis.


2017 ◽  
Vol 18 (1) ◽  
pp. 238 ◽  
Author(s):  
Mirinae Seo ◽  
Jung Kyu Ryu ◽  
Geon-Ho Jahng ◽  
Yu-Mee Sohn ◽  
Sun Jung Rhee ◽  
...  

2021 ◽  
pp. 1-4
Author(s):  
Sathish babu ◽  
Arifkhan Sainudeen ◽  
Abdul Eksana

INTRODUCTION: Breast cancer is the most common cancer impacting 2.1 million women each year and also relates to the most cancer related deaths in women. In 2018, it was estimated that 627,000 women died from breast cancer which approximates to 15 % of all cancer related deaths among women [1]. The triple test– clinical examination, mammography and core biopsy helps in differentiating benign and malignant lesions. Histopathological examination is considered being the gold standard test for confirming malignant lesions and forms the basis of management. AIM: To assess sensitivity of mammogram with ultrasonography in diagnosing various breast lesions and to correlate the categorized breast lesions (BI-RADS) with histopathology reports and thereby obtain specificity and NPV of evaluation using Mammogram and ultrasonography. STUDY DESIGN: Retrospective analytical study. Study Period: July 2018 – July 2019. METHODS: The results of ultrasonography and mammography of 72 cases diagnosed clinically with breast lesions over the period of one year in tertiary health care hospital were compared with histopathology reports. RESULTS: The mean age of the patients was 45.65 ± 3.19. Our results showed that in histopathology reports in 20 patients (27.78%) were malignant, 51 cases (70.83%) had benign disease and 1 case 1.39% was borderline malignant. Fibroadenoma was the commonest benign lesion whereas infiltrating ductal carcinoma was the most common malignant lesion. Breast Imaging – Reporting and Data System (BIRADS) by mammogram revealed category II in 54.1%, III in 20.8%, IV in 16.6% and V in 8.3%. The specificity of mammography alone in diagnosing malignant breast lesions was 90.1%. When combined (ultrasound and mammogram), the specificity in diagnosing malignant breast lesion was 98.5% CONCLUSION: Mammography and sono-mammogram plays an important role in the diagnostic and surgical management of breast lesions with correlative histopathology evaluation. The diagnostic accuracy shows significant improvement when mammogram was combined with ultrasound correlation and thereby improving sensitivity and specificity of diagnosing malignant breast lesions.


NeuroImage ◽  
2004 ◽  
Vol 23 (1) ◽  
pp. 318-324 ◽  
Author(s):  
Tiffany N. Townsend ◽  
Neda Bernasconi ◽  
G.Bruce Pike ◽  
Andrea Bernasconi

2002 ◽  
Vol 1 (3) ◽  
pp. 211-216 ◽  
Author(s):  
Yulei Jiang

Computer-aided diagnosis (CAD) methods are being developed to help radiologists improve the interpretation of mammograms for the detection of breast cancer. We review several laboratory observer performance studies of computer-aided diagnosis of malignant and benign breast lesions. These studies show that CAD can improve radiologists' diagnostic performance by increasing the number of their biopsy recommendations for actual malignant lesions while reducing the number of their biopsy recommendations for suspicious but actually benign lesions, and by reducing the variability in their interpretation of mammograms. These results indicate a potential clinical role of CAD in mammography for the detection of breast cancer.


2020 ◽  
Vol 125 (11) ◽  
pp. 1124-1134
Author(s):  
Carlo Liguori ◽  
Davide Farina ◽  
Filippo Vaccher ◽  
Giovanni Ferrandino ◽  
Davide Bellini ◽  
...  

Abstract Myocarditis is an inflammatory disease of the heart muscle, diagnosed by histological, immunological, and immunohistochemical criteria. Endomyocardial biopsy represents the diagnostic gold standard for its diagnosis but is infrequently used. Due to its noninvasive ability to detect the presence of myocardial edema, hyperemia and necrosis/fibrosis, Cardiac MR imaging is routinely used in the clinical practice for the diagnosis of acute myocarditis. Recently pixel-wise mapping of T1 and T2 relaxation time have been introduced into the clinical Cardiac MR protocol increasing its accuracy. Our paper will review the role of MR imaging in the diagnosis of acute myocarditis.


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