scholarly journals Breast Imaging Reporting and Data Systems category 3 (probably benign) breast lesions detected on diagnostic breast ultrasound: The prevalence, outcome and malignancy detection rate in Zaria, Nigeria

2018 ◽  
Vol 22 (2) ◽  
Author(s):  
Sefiya A. Olarinoye-Akorede ◽  
Garba H. Yunusa ◽  
Halima Aliyu ◽  
Ahmed U. Hamidu
Keyword(s):  
Breast Imaging ◽  
Detection Rate ◽  
Breast Ultrasound ◽  
Breast Lesions ◽  
Data Systems ◽  
Benign Breast Lesions

Radiologic and Pathologic Correlation for Lactating Adenomas

2021 ◽  
Vol 3 (2) ◽  
pp. 208-214
Author(s):  
Hoiwan Cheung ◽  
Elizabeth U Parker ◽  
Mark R Kilgore ◽  
John R Scheel
Keyword(s):  
Breast Imaging ◽  
Short Interval ◽  
Malignant Potential ◽  
Postpartum Women ◽  
Breast Lesions ◽  
Lactating Women ◽  
Neoplastic Processes ◽  
Imaging Characteristics ◽  
Benign Breast Lesions

Abstract Lactating adenomas are benign breast lesions that occur in pregnant, lactating, and postpartum women. These lesions have no associated malignant potential; their origin is disputed with no consensus on whether they represent hyperplastic or neoplastic processes. On ultrasound, lactating adenomas are classically described as solid, circumscribed, parallel masses with iso/hypoechoic internal echotexture and posterior enhancement. Histologically, lactating adenomas appear as circumscribed nodules of tightly packed lobular acini with extensive lactational change during pregnancy or the postpartum period. Masses in pregnant and lactating women with probably benign imaging characteristics—oval, circumscribed, parallel, iso/hypoechoic—can be managed with short interval follow-up (BI-RADS 3) rather than biopsy. However, lactating adenomas can also demonstrate characteristics that overlap with pregnancy-associated breast cancer, such as margins that are not circumscribed, prompting biopsy to exclude pregnancy-associated carcinoma. Breast imaging radiologists must be aware of the variable appearances of lactating adenomas to appropriately manage pregnant and lactating women presenting with palpable lumps.

ULTRASOUND AS PRIME MODALITY OF CHOICE FOR EVALUATION OF BREAST LESIONS.

2021 ◽  
pp. 37-38
Author(s):  
Snehal Santosh Rathi ◽  
Sonali Mhaske Kadam
Keyword(s):  
High Frequency ◽  
Breast Imaging ◽  
Nipple Discharge ◽  
Signs And Symptoms ◽  
Breast Ultrasound ◽  
Breast Lesions ◽  
Medical College ◽  
Primary Screening ◽  
High Frequency Probe

INTRODUCTION: The four main roles of ultrasound in Breast imaging are-primary screening, supplemental screening, diagnosis and Interventional procedures. Palpable masses, abnormal nipple discharge and mammographic abnormalities constitute the most common indication for targeted Breast Ultrasound. AIM: To study the role of Ultrasound in evaluating Breast lesions and characterising them as Benign or Malignant. MATERIAL AND METHODS:This is a Retrospective analysis conducted in Department of Radiology, MGM Medical College and Hospital, Kamothey, Navi Mumbai from February 2021 to June 2021. A total of 136 patients with signs and symptoms related to breast lesions were screened. CONCLUSION: The advent of high frequency probe, easy accessibility, cost effectiveness, reliability and relatively easy to perform makes ultrasound as the prime modality of choice for screening breast lesions.

scholarly journals On a fractional order calculus model in diffusion weighted breast imaging to differentiate between malignant and benign breast lesions detected on X-ray screening mammography

PLoS ONE ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. e0176077 ◽  
Author(s):  
Sebastian Bickelhaupt ◽  
Franziska Steudle ◽  
Daniel Paech ◽  
Anna Mlynarska ◽  
Tristan Anselm Kuder ◽  
...  
Keyword(s):  
Fractional Order ◽  
Breast Imaging ◽  
Screening Mammography ◽  
Breast Lesions ◽  
Fractional Order Calculus ◽  
X Ray ◽  
Diffusion Weighted ◽  
Benign Breast Lesions

Can artificial intelligence replace ultrasound as a complementary tool to mammogram for the diagnosis of the breast cancer?

2021 ◽  
Author(s):  
Sahar Mansour ◽  
Rasha Kamal ◽  
Lamiaa Hashem ◽  
Basma ElKalaawy
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Breast Imaging ◽  
Breast Ultrasound ◽  
Qualitative Assessment ◽  
Time Interval ◽  
Breast Lesions ◽  
Digital Mammogram ◽  
Combined Evaluation ◽  
The Impact

Objectives: to study the impact of artificial intelligence (AI) on the performance of mammogram with regard to the classification of the detected breast lesions in correlation to ultrasound aided mammograms. Methods: Ethics committee approval was obtained in this prospective analysis. The study included 2000 mammograms. The mammograms were interpreted by the radiologists and breast ultrasound was performed for all cases. The Breast Imaging Reporting and Data System (BI-RADS) score was applied regarding the combined evaluation of the mammogram and the ultrasound modalities. Each breast side-was individually assessed with the aid of AI scanning in the form of targeted heat-map and then, a probability of malignancy (abnormality scoring percentage) was obtained. Operative and the histopathology data were the standard of reference. Results: Normal assigned cases (BI-RADS 1) with no lesions were excluded from the statistical evaluation. The study included 538 benign and 642 malignant breast lesions (n = 1180, 59%). BI-RADS categories for the breast lesions with regard to the combined evaluation of the digital mammogram and ultrasound were assigned BI-RADS 2 (Benign) in 385 lesions with AI median value of the abnormality scoring percentage of 10, (n = 385/1180, 32.6%), and BI-RADS 5 (malignant) in 471, that had showed median percentage AI value of 88 (n = 471/1180, 39.9%). AI abnormality scoring of 59% yielded a sensitivity of 96.8% and specificity of 90.1% in the discrimination of the breast lesions detected on the included mammograms. Conclusions: AI could be considered as an optional primary reliable complementary tool to the digital mammogram for the evaluation of the breast lesions. The color hue and the abnormality scoring percentage presented a credible method for the detection and discrimination of breast cancer of near accuracy to the breast ultrasound. So consequently, AI- mammogram combination could be used as a one setting method to discriminate between cases that require further imaging or biopsy from those that need only time interval follows up. Advances in knowledge: Recently, the indulgence of AI in the work up of breast cancer was concerned. AI noted as a screening strategy for the detection of breast cancer. In the current work, the performance of AI was studied with regard to the diagnosis not just the detection of breast cancer in the mammographic-detected breast lesions. The evaluation was concerned with AI as a possible complementary reading tool to mammogram and included the qualitative assessment of the color hue and the quantitative integration of the abnormality scoring percentage.

scholarly journals Evaluation of the effect of computer aided diagnosis system on breast ultrasound for inexperienced radiologists in describing and determining breast lesions

2019 ◽  
Vol 21 (3) ◽  
pp. 239
Author(s):  
Jeongmin Lee ◽  
Sanghee Kim ◽  
Bong Joo Kang ◽  
Sung Hun Kim ◽  
Ga Eun Park
Keyword(s):  
Breast Imaging ◽  
Diagnostic Performance ◽  
Computer Aided Diagnosis ◽  
Breast Ultrasound ◽  
Breast Lesions ◽  
Cad System ◽  
Computer Aided ◽  
Kappa Value ◽  
Inexperienced Reader ◽  
Aided Diagnosis

Aim: To investigate the effect of a computer-aided diagnosis (CAD) system on breast ultrasound (US) for inexperienced radiologists in describing and determining breast lesions.Materials and methods: Between October 2015 to January 2017, 500 suspicious or probable benign lesions in 413 patients were reviewed. Five experienced readers retrospectively reviewed for each of 100 lesions according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon and category, with CAD system (S-detectTM). The readers then made final decisions by combining CAD results to their US results. Using the nested experiment design, five inexperienced readers were asked to select the appropriate BI-RADS lexicons, categories, CAD results, and combination results for each of the 100 lesions, retrospectively. Diagnostic performance of experienced and inexperienced radiologists and CAD were assessed. For each case, agreements in the lexicons and categories were analyzed among the experienced reader, inexperienced reader and CAD.Results: Indicators of the diagnostic performance for breast malignancy of the experienced group (AUC=0.83, 95%CI [0.80, 0.86]) were similar or higher than those of CAD (AUC = 0.79, 95%CI[0.74, 0.83], p=0.101), except for specificity. Conversely, indicators of diagnostic performance of inexperienced group (AUC=0.65, 95%CI[0.58, 0.71]) did not differ from or were lower than those of CAD(AUC=0.73, 95%CI[0.67, 0.78], p=0.013). Also, the diagnostic performance of the inexperienced group after combination with the CAD result was significantly improved (0.71, 95% CI [0.65, 0.77], p=0.001), whereas that of the experienced group did not change after combination with the CAD result, except for specificity and positive predictive value (PPV). Kappa values for the agreement of the categorization between CAD and each radiologist group were increased after applying the CAD result to their result of general US. Especially, the increase of the Kappa value was higher in the inexperienced group than in the experienced group. Also, for all the lexicons, the Kappa values between the experienced group and CAD were higher than those between the inexperienced group and CAD.Conclusion: By using the CAD system for classification of breast lesions, diagnostic performance of the inexperienced radiologists for malignancy was significantly improved, and better agreement was observed in lexicons between the experienced group and CAD than between the inexperienced group and CAD. CAD may be beneficial and educational for the inexperienced group.

201Tl Scintigraphy in the Evaluation of Palpable and Nonpalpable Breast Lesions: Correlation with Mammography and Ultrasonography

1997 ◽  
Vol 36 (08) ◽  
pp. 282-288 ◽  
Author(s):  
T. Atasever ◽  
A. Özdemir ◽  
I. Öznur ◽  
N. I. Karabacak ◽  
N. Gökçora ◽  
...  
Keyword(s):  
Final Diagnosis ◽  
Lower Sensitivity ◽  
Breast Lesions ◽  
Breast Cancers ◽  
Combined Use ◽  
Malignant Breast ◽  
Malignant Lesions ◽  
Benign Breast Lesions ◽  
Palpable Breast ◽  
Metastatic Sites

Summary Aim: Our goal was to determine the clinical usefulness of TI-201 to identify breast cancer in patients with suspicious breast lesions on clinical examination, and/or abnormal radiologic (mammography and/or ultrasonography) findings. Methods: TI-201 scintigraphy were performed in sixty-eight patients with 70 breast abnormalities (51 palpable, 19 nonpalpable) and compared with mammography and ultrasonography (US). Early (15 min) and late (3 h) images of the breasts were obtained following the injection of 111 MBq (3 mCi) of TI-201. Visual and semiquantitative interpretation was performed. Results: Final diagnosis confirmed 52 malignant breast lesions and 18 benign conditions. TI-201 visualized 47 of 52 (90%) overall malignant lesions. Thirty-eight of 40 (95%) palpable and 9 of 12 (75%) nonpalpable breast cancers were detected by TI-201 scintigraphy. The smallest mass lesion detected by TI-201 measured 1.5x1.0 cm. Eleven breast lesions were interpreted as indeterminate by mammography and/or sonography. TI-201 scintigraphy excluded malignancy in 7 of 8 (88%) patients with benign breast lesions interpreted as indeterminate. Five of the 18 (28%) benign breast lesions showed TI-201 uptake. None of the fibroadenoma and fibrocystic changes accumulated TI-201. TI-201 scintigraphy, mammography and ultrasonography showed 90%, 92%, 85% overall sensitivity and 72%, 56%, 61% overall specificity respectively. Twenty-one of the 28 (75%) axillary nodal metastatic sites were also detected by TI-201. In malignant and benign lesions, early and late lesion/contralateral normal side (L/N) ratios were 1.58 ± 0.38 (mean ± SD) and 1.48 ± 0.32 (p >0.05), 1.87 ± 0.65 and 1.34 ± 0.20 (p<0.05) respectively. The mean early and late L/N ratios of malignant and benign groups did not show statistical difference (p>0.05). Conclusion: Overall, TI-201 scintigraphy was the most specific of the three methods and yielded favourable results in palpable breast cancers, while it showed lower sensitivity in nonpalpable cancers and axillary metastases. Combined use of TI-201 scintigraphy with mammography and US seems to be useful in difficult cases, such as dense breasts and indeterminate breast lesions.

scholarly journals Evaluation of image quality at the detector’s edge of dedicated breast positron emission tomography

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yoko Satoh ◽  
Utaroh Motosugi ◽  
Masamichi Imai ◽  
Yoshie Omiya ◽  
Hiroshi Onishi
Keyword(s):  
Image Quality ◽  
Chest Wall ◽  
Clinical Studies ◽  
Breast Imaging ◽  
Phantom Study ◽  
Breast Lesions ◽  
Clinical Images ◽  
Dedicated Breast Pet ◽  
Pet Ct ◽  
Significant Difference

Abstract Background Using phantoms and clinical studies in prone hanging breast imaging, we assessed the image quality of a commercially available dedicated breast PET (dbPET) at the detector’s edge, where mammary glands near the chest wall are located. These are compared to supine PET/CT breast images of the same clinical subjects. Methods A breast phantom with four spheres (16-, 10-, 7.5-, and 5-mm diameter) was filled with 18F-fluorodeoxyglucose solution (sphere-to-background activity concentration ratio, 8:1). The spheres occupied five different positions from the top edge to the centre of the detector and were scanned for 5 min in each position. Reconstructed images were visually evaluated, and the contrast-to-noise ratio (CNR), contrast recovery coefficient (CRC) for all spheres, and coefficient of variation of the background (CVB) were calculated. Subsequently, clinical images obtained with standard supine PET/CT and prone dbPET were retrospectively analysed. Tumour-to-background ratios (TBRs) between breast cancer near the chest wall (close to the detector’s edge; peripheral group) and at other locations (non-peripheral group) were compared. The TBR of each lesion was compared between dbPET and PET/CT. Results Closer to the detector’s edge, the CNR and CRC of all spheres decreased while the CVB increased in the phantom study. The disadvantages of this placement were visually confirmed. Regarding clinical images, TBR of dbPET was significantly higher than that of PET/CT in both the peripheral (12.38 ± 6.41 vs 6.73 ± 3.5, p = 0.0006) and non-peripheral (12.44 ± 5.94 vs 7.71 ± 7.1, p = 0.0183) groups. There was no significant difference in TBR of dbPET between the peripheral and non-peripheral groups. Conclusion The phantom study revealed poorer image quality at < 2-cm distance from the detector’s edge than at other more central parts. In clinical studies, however, the visibility of breast lesions with dbPET was the same regardless of the lesion position, and it was higher than that in PET/CT. dbPET has a great potential for detecting breast lesions near the chest wall if they are at least 2 cm from the edge of the FOV, even in young women with small breasts.

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