Consensus Guidelines for Delineation of Clinical Target Volumes for Intensity Modulated Radiation Therapy for Intact Cervical Cancer: An Update.

Purpose: Accurate target delineation is essential when using intensity modulated radiation therapy for intact cervical cancer. In 2011, the Radiation Therapy Oncology Group published a consensus guideline using magnetic resonance imaging (MRI). The current project expands on the previous atlas by including computed tomography (CT)-based contours, contours with MRI and positron emission tomography (PET) registrations, the addition of common and complex scenarios, and incorporating information on simulation and treatment planning techniques.

ROCR: Modernizing Radiation Oncology Payment to Embrace Innovation and Better Care.

Data demonstrates that hypofractionation is increasingly utilized based on evidence-based guidelines. The outdated Medicare fee-for-service approach penalizes radiation oncology (RO) practices from adopting hypofractionation, even as many patients benefit. To address the flawed fee-for-service payment system, which rewards volume over value, ASTRO introduced the Radiation Oncology Case Rate (ROCR) Value-Based Payment Program.

A Quantitative Evaluation of the Effects of Radiation Therapy on the Post-Surgical Breast.

Background: Radiation (RT) effects on breast volume may impact breast-conserving therapy (BCT) outcomes, but quantitative information is lacking regarding the extent/timing of volume loss. This study aimed to quantify volume loss by assessing changes in irradiated breasts.

Methods: Breast volume changes were calculated for 113 patients (115 breasts) following T1 tumor lumpectomies.

ACR Appropriateness Criteria® Clinically Suspected Adnexal Mass, No Acute Symptoms: 2023 Update.

Asymptomatic adnexal masses are commonly encountered in daily radiology practice. Although the vast majority of these masses are benign, a small subset have a risk of malignancy, which require gynecologic oncology referral for best treatment outcomes. Ultrasound, using a combination of both transabdominal, transvaginal, and duplex Doppler technique can accurately characterize the majority of these lesions.

Neural network dose prediction for cervical brachytherapy: Overcoming data scarcity for applicator-specific models.

Background: 3D neural network dose predictions are useful for automating brachytherapy (BT) treatment planning for cervical cancer. Cervical BT can be delivered with numerous applicators, which necessitates developing models that generalize to multiple applicator types. The variability and scarcity of data for any given applicator type poses challenges for deep learning.