Invasive lobular carcinoma - Architectural distortion (USA)

71 year old lady with a palpable lump in the right breast. These are the synthetic to reduce showing. Scattered farandula tissue. And a focal asymmetry in the right breast that was the palpable lesion. According to the Tomo study, we can detect an architectural. Distortion. If we focus in this breast. They confirm this architectural distortion and also. In the thermal spot compression. This is the typical appearance of an invasive lobular cancer showing fat inside. The tumor. I also showed the correlation with ultrasound. And the final result was an invasive lobular cancer luminal a. So we conclusion this case is interesting because it shows the typical appearance of an invasive lobular cancer.

1/1/2022 Characterization 5 Digital Breast Tomosynthesis and Contrast Enhanced Mammography Prof. Dr. Luis Pina Breast Imaging Department (Radiología mamaria) Clínica Universidad de Navarra, Pamplona / Spain SIEMENS . 06_Characterization_5, PID3689 Healthineers * 1/1/2022 F PID3689 INSIGHT_2D Add Study PID3689 1/1/2022 (Study date): Current: MG, 1/1/2022 n.a ., 3 mont ... Mamograffa Bilateral RCC LCC INSIGHT 2D_RMLO INSIGHT_2D_RCC Viewing Favorite Layouts MR DYN MR.Dyna ... IN 2D MR.Empty ReportFlow Printing Series Navigator Tools Findings MR 4:15 PM US BASIC Clinical information 71-year-old female Palpable lump in the right breast LMLO Series Navigator Slice 11 / 62 Slice 27 / 70 Slice thickness: 1.00 mm RMLO LMLO Current Current Slice 30 / 73 :Slice 3 / 62 LCC RMLO Slice 11 / 54 check Current LCC not found. 9:29 PM Slice 5 / 54 Slice thickness: 1:00 mm 4:16 PM Pathology Invasive lobular carcinoma (ILC) Luminal A BASI Conclusion DBT shows the typical appearance of an ILC. Siemens Healthcare GmbH, 2022 Sometimes IN2D images (= synthetic mammograms) are shown while verbally referring to the conventional mammograms. The products/features (mentioned herein) are not commercially available in all countries. Their future availability cannot be guaranteed. Results from case studies are not predictive of results in other cases. Results in other cases may vary. The statements by Siemens' customers described herein are based on results that were achieved in the customer's unique setting. Since there is no "typical" setting and many variables exist (e.g ., hospital size, samples mix, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results. Dr. Luis Pina is employed by an institution that receives financial support from Siemens Healthineers for collaborations. SIEMENS