family members affected by the same or similar diagnoses across consecutive generations. This report presents the case of a patient without significant family history but with an unusual constellation of malignancies and pathologies, which prompted
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Christos Vaklavas, John R. Ross, Lisle M. Nabell, Andres Forero, Martin J. Heslin, and Tina E. Wood
George D. Demetri, Margaret von Mehren, Cristina R. Antonescu, Ronald P. DeMatteo, Kristen N. Ganjoo, Robert G. Maki, Peter W.T. Pisters, Chandrajit P. Raut, Richard F. Riedel, Scott Schuetze, Hema M. Sundar, Jonathan C. Trent, and Jeffrey D. Wayne
), which requires immediate medical attention. Pathology and Differential Diagnosis GISTs range in size from incidental lesions a few millimeters in diameter to large masses of 35 cm or more; the median size at presentation is approximately 5 cm
Ajay Gupta, Huifei Liu, Kathleen M. Schieffer, Selene C. Koo, Catherine E. Cottrell, Elaine R. Mardis, Ryan D. Roberts, and Nicholas D. Yeager
; dedicated CT of the abdomen on the right) on presentation show multiple metabolically active mesenteric and omental masses. Figure 2. Atypical histologic features of the tumor. Pathology of the omental mass biopsy shows an epithelioid tumor with
Abdul-Rahman Jazieh, Hanaa Bamefleh, Ahmet Demirkazik, Rabab Mohamed Gaafar, Fady B. Geara, Mansur Javaid, Jamal Khader, Kian Khodadad, Walid Omar, Ahmed Saadeddin, Hassan Al Sabe, Mohammad Behgam Shadmehr, Amgad El Sherif, Najam Uddin, Mohammad Jahanzeb, and David Ettinger
formed. The committee comprises various experts in thoracic oncology, including medical and clinical oncology, radiation oncology, pulmonology medicine, thoracic surgery, radiology, and pathology. The committee convened twice and corresponded frequently
Natasha Satkunam, Xuejiao Wei, James J. Biagi, Sulaiman Nanji, and Christopher M. Booth
Registry (OCR) to identify all incident cases of colorectal cancer (CRC) in Ontario diagnosed in 2000 to 2008. The OCR does not capture disease stage for all patients; therefore, we obtained surgical pathology reports for a random sample of 25% of cases
Christopher M. Booth, Sulaiman Nanji, Xuejiao Wei, Yingwei Peng, James J. Biagi, Timothy P. Hanna, Monika K. Krzyzanowska, and William J. Mackillop
during 2000–2008. The OCR does not capture stage of disease for all patients; therefore, we obtained surgical pathology reports for a random sample of 25% of cases. Reports were not available for patients with surgery in 2005; therefore, the study cohort
Samantha Rios and Kelsey Larson
-up imaging and procedures, and final breast pathology were reviewed. Descriptive points were analyzed using counts and percentages versus mean with standard deviation where applicable. After review, 261 patients met inclusion and exclusion criteria with
Dayna Crawford, Brook Blackmore, Jeremy Ortega, and Erica Williams
: By developing software that utilizes artificial intelligence, Sarah Cannon created an automated process to identify colon cancer patients at the time of diagnosis. This technology then routes positive pathology reports to a VCN who contacts the early
Yamini V. Ananth and Karisa Schreck
-based database using the REDCap tool. We analyzed data from 29 adults with primary brain tumors containing the BRAF V600E mutation, recording gender, age at diagnosis, tumor pathology, molecular tumor information, dates of surgeries, time to progression
Rafael López, Antonio Antón, Enrique Aranda, Alfredo Carrato, Manuel Constenla, Juan Jesús Cruz, Eduardo Díaz-Rubio, Margarita Feyjóo, Jesús García-Foncillas, Pere Gascón, Vicente Guillem, Ilse Lugo, Álvaro Rogado, and Carlos Camps
participation. Core and lung cancer modules were completed. Results: During the 6 rounds, 1,877 charts were submitted by the Spanish practices. In most of the rounds, the highest scores were: pathology report confirming malignancy; number of chemotherapy
