ecancermedicalscience

Research

Value of a breast imaging unit in the detection of breast cancer in Mexico

28 Jul 2021
Yazmín A Ramírez-Galván, Servando Cardona-Huerta, Guillermo Elizondo-Riojas, Alberto Montemayor-Martínez, Jesús I Morales-Escajeda, Carlos E Herrera-Peña

The screening breast cancer detection rate in Mexico is low. The main objective of this study was to determine the breast cancer detection rate in a Mexican population that attended a breast imaging unit, in which the same radiologist comprehensively evaluated and interpreted breast imaging studies. A total of 5,429 mammograms performed between 2015 and 2016 were evaluated. Rates for biopsy indication, biopsies performed and positive biopsies for cancer were determined. The malignancy detection rate, after a comprehensive imaging evaluation in a breast imaging unit, was 24.3 per 1,000 mammograms. In symptomatic women was 52.9 per 1,000 mammograms, and in screening women was 11.1 per 1,000 mammograms. Breast imaging units in which a comprehensive imaging approach is performed represent an opportunity for low- and middle-income countries without population-based screening programs to achieve a more efficient detection of breast cancer, without generating a higher cost.

Related Articles

Tushar Ambekar, Amey Oak, Sivaranjini Kannusamy, Sandhya Cheulkar, Riya R John, Shalmali Chavan, Saket Mendhe, Supriya Kadam, Mamta Lade, Ganesh Balasubramanium, Ashwin Desouza, Avanish Saklani, Rajesh Dikshit, Pankaj Chaturvedi, Sudeep Gupta
Joshua Agilinko, Sonam Patel, Jogitha Selvarajah, Nicholas Tekkis, Mathew Vithayathil, Suzette Samlalsingh
Deepak Sudhakaran, Anoushka Arora, Smriti Rana, Amirtha Thampi, Sunilkumar, Parth Sharma
Viviana Pinzón-Ramírez, Luis E Cueva-Cañola, Dilmareth E Natera, Helder Edgar Aldo-Chávez Olivera, Oscar Eduardo Camacho-Hernández, Andrea C Beltran-De la Fuente, Sergio Alexis Ramirez-Alvarez, Einstein Yhair Gallardo Cubas, Giomar Vilca Flores, Mauricio E Gamez, Leonardo Rangel Castilla
Pragyat Thakur, Nagarjun Ballari, Anureet Kaur, Tapas Kumar Dora, I Vedamanasa, Arshdeep Kaur, Ashish Gulia