Using findings captured on CT scans, radiologists can improve the planning and outcomes for this surgery, improving the care of transgender women.
Radiologists can play an important part in facial feminization surgery (FFS) for transgender patients by using CT, a new review article outlines.
In the Dec. 30 American Journal of Roentgenology, a team from the University of Colorado Anschutz Medical Campus walks through how providers can use these scans to help preoperative planning for this surgery that adjusts masculine features, including the prominence of the nose, chin, and brow, to create a more feminine appearance. In doing so, they highlighted how integral and critical the radiologist can be in contributing to patient care for this group.
“Facial feminization surgery (FFS) is an increasingly performed component of gender affirmation surgery for transgender women,” said the team led by Andrew Callen, M.D., assistant professor of radiology-diagnostics. “Familiarity with these (CT) findings will facilitate improved communication between radiologists and surgeons, thereby contributing to the care of transgender women.”
Pre- and post-operative CT in two different patients undergoing facial feminization surgery. Frontal 3D reformatted images (A) before and (B) after surgery in a 29-year-old transgen- der woman. Red dashed line indicates frontal bone osteotomy. Red dash-dot lines indicate mandibular angle osteot- omies. Red solid line indicates genio- plasty. Green arrowheads indicate su- perior orbital foraminal notches. Blue arrowheads indicate mental foramina. Sagittal reformatted images (C) before and (D) after surgery of 39-year-old transgender woman. Note the Oster- hout type 1 frontal sinus. Red dashed line indicates frontal bone recontour- ing. Red solid line indicates genioplas- ty. The nasofrontal angle (yellow line) is increased postoperatively. Credit: American Journal of Roentgenology
In the United States, the transgender and gender diverse population accounts for nearly 1.6 million adults. Not only do many wrangle with dysphoria, the angst that accompanies identifying with a gender other than their gender assigned at birth, but they also experience multiple health disparities. They have a higher risk of suicide, substance abuse, and cancer, and a 2015 report from the National Center for Transgender Equity revealed that 28 percent of the group postpones medical care due to fear of intimidation, 30 percent are harassed in medical settings, and 20 percent are refused care outright.
Consequently, the team said, there is a need for greater understanding from medical providers on how to best serve these patients, including contributing to FFS which can be a largely gender-affirming step. To change the more masculine features of the face, this surgery adjusts chin prominence and the squareness of the jaw, as well as the nasofrontal angle of the upper face and nasofrontal and nasolabial angles of the upper and middle face, and brow prominence.
Images captured by CT can significantly contribute to the success of this surgery, and Callen’s team outlined five steps radiologists can take to maximize the results:
Callen’s team noted that they did not explore the use of MRI in pre-operative planning, but that the modality has shown it can benefit other surgical procedures. The goal of their review, they said, was to offer more guidance for using imaging findings in gender-affirming surgeries as there is a lack of published transgender-related radiology research.
“[This] highlight[s] the need for greater awareness by radiologists of how the specialty may contribute to the care of the transgender community,” the team concluded.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.