- Colorectal Cancer Surgical Treatments
- Colorectal and Anal Carcinomas
- Radiomics and Machine Learning in Medical Imaging
- Gastric Cancer Management and Outcomes
- Hepatocellular Carcinoma Treatment and Prognosis
- Neuroendocrine Tumor Research Advances
- Medical Imaging Techniques and Applications
- Vascular Tumors and Angiosarcomas
- MRI in cancer diagnosis
- Pediatric Urology and Nephrology Studies
- Cardiac tumors and thrombi
- Neuroblastoma Research and Treatments
- Sarcoma Diagnosis and Treatment
- Renal cell carcinoma treatment
- Lung Cancer Research Studies
- Endometrial and Cervical Cancer Treatments
- Ovarian cancer diagnosis and treatment
- Radiation Dose and Imaging
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Tuberous Sclerosis Complex Research
- Cancer, Hypoxia, and Metabolism
- Liver Disease Diagnosis and Treatment
- Surgical Simulation and Training
- Advanced X-ray and CT Imaging
- Advanced MRI Techniques and Applications
The University of Texas MD Anderson Cancer Center
2022-2025
Rectal adenocarcinoma constitutes about one-third of all colorectal cases. MRI has become mandatory for evaluation patients newly diagnosed with rectal cancer because it can help accurately stage the disease, impact choice to give neoadjuvant therapy or proceed up-front surgery, and even direct surgical dissection planes. Better understanding chemoradiotherapy effects on tumors recognition that up 30% have a pathologic complete response opened door nonsurgical "watch-and-wait" management...
Lateral pelvic lymph node (LPLN) metastases are an important cause of preventable local failure in rectal cancer. The aim this study was to evaluate clinical and oncological outcomes following magnetic resonance imaging (MRI)-directed surgical selection for lateral dissection (LPLND) after total neoadjuvant therapy (TNT).A retrospective consecutive cohort analysis performed cancer patients with enlarged LPLN on pretreatment MRI. Patients were categorized as LPLND or non-LPLND. main...
Abstract Purpose To compare image quality and clinical utility of a T2‐weighted (T2W) 3‐dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional for rectal magnetic resonance imaging (MRI). Methods The study included 50 patients with cancer who underwent MRI consecutively between July 7, 2020 January 20, 2021 T2W 3D FSE DLR reconstruction. Three radiologists reviewed the two sets images, scoring overall SNR, motion artifacts, on 3‐point...
BACKGROUND: Lateral pelvic lymph-node dissection is performed for selected patients with rectal cancer persistent lateral nodal disease after neoadjuvant therapy. This technique has been slow to be adopted in the West due concerns regarding technical difficulty. first report on learning curve lymph node US or Europe. OBJECTIVE: The aim of this study was analyze associated robotic dissection. DESIGN: Retrospective observational cohort. SETTING: Tertiary academic center. PATIENTS: Consecutive...
Abstract Hepatic lesions are commonly encountered in radiology practice. Lesions with classic imaging findings such as hepatocellular carcinoma, cholangiocarcinoma, hemangiomas, focal nodular hyperplasia, and adenomas well described literature easily diagnosed by most experienced radiologists. In the appropriate context, metastases, which one of common radiologists who practice predominantly cancer care settings, also diagnosed. However, may encounter rarer neoplasms be challenging to...
Rectal cancer presents significant diagnostic and therapeutic challenges, with neoadjuvant therapy playing a pivotal role in improving resectability patient outcomes. MRI serves as critical tool assessing treatment response. However, differentiating viable tumor tissue from therapy-induced changes on remains complex task. In this comprehensive review, we explore options for rectal based status, focusing the of guiding decisions. We delve into nuances MRI-based evaluation response following...
Abstract The incidence of neuroendocrine neoplasms (NENs) has gradually increased over the past few decades with majority patients presenting metastases on initial presentation. liver is most common site metastatic disease, and presence metastasis an independent prognostic factor associated a negative outcome. Because NENs are heterogenous variable differentiation, grading, risk grade transformation time, accurate diagnosis management lesions both important challenging. This particularly so...
Non-neoplastic tumor-like conditions of the liver can appear similar to hepatic neoplasms. In many cases, a biopsy is required confirm pathology. However, several be correctly diagnosed or suggested prospectively, thus saving patients from unnecessary anxiety and expense. this image-focused review, we present ultrasound, computed tomography, magnetic resonance imaging, positron emission tomography scan features eight such entities. Clues that indicate correct pathology are discussed, usual...
In patients with cancer, spontaneous renal bleeding can stem from a range of underlying factors, necessitating precise diagnostic tools for effective patient management. Benign and malignant tumors are among the primary culprits, angiomyolipomas cell carcinomas being most common them. Vascular anomalies, infections, ureteral obstructions, coagulation disorders also contribute to renal-related bleeding. Cross-sectional imaging techniques, particularly ultrasound computed tomography (CT), play...
BACKGROUND Invasive cervical tumors are often seen in clinical practice. However, there multiple structures within the pelvis, and invasion of cervix from another site must be included differential diagnosis. In such cases, a multidisciplinary approach is needed to define organ tumor origin. Ensuring proper staging histologic analysis critical for optimal management. CASE REPORT We present case 68-year-old woman who presented her gynecologist with painless post-menopausal vaginal bleeding....
Multiplanar high resolution T2-weighted (T2W) imaging with a 2D fast spin echo (FSE) sequence is currently an essential component of rectal cancer MRI. In this work, we performed T2W 3D FSE and evaluated the quality potential clinical value images after applying postprocessing deep learning reconstruction (DLR) algorithm. We found that DLR are non-inferior to conventional there fair-moderate inter-reader agreements in large majority categories for image usefulness.