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http://dx.doi.org/10.1097/AOG.0b013e3181f98202 | DOI Listing |
J Imaging
December 2024
Obstetrics and Gynaecology Unit, Department of Interdisciplinary Medicine (DIM), University of Bari, 70124 Bari, Italy.
This study aimed to evaluate our center's experience in diagnosing and managing placenta accreta spectrum (PAS) in a high-risk population, focusing on prenatal ultrasound features associated with PAS severity and maternal outcomes. We conducted a retrospective analysis of 102 high-risk patients with confirmed placenta previa who delivered at our center between 2018 and 2023. Patients underwent transabdominal and transvaginal ultrasound scans, assessing typical sonographic features.
View Article and Find Full Text PDFMagn Reson Imaging
February 2025
Department of Radiology, Tongren People's Hospital, Tongren, Guizhou Province 554300, China.
Objective: To explore the value of amide proton transfer (APT) imaging in assessing parametrial invasion (PMI) and lymph-vascular space invasion (LVSI) of cervical cancer.
Materials And Methods: We retrospectively analyzed the clinical and imaging data of cervical cancer patients diagnosed pathologically at our hospital from January 2021 to June 2024. All patients underwent routine magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI), and APT imaging before treatment.
Cureus
October 2024
Department of Radiation Oncology, Indira Gandhi Medical College, Shimla, IND.
Objectives: Cervical cancer is the second most common malignancy among Indian women after breast cancer. This study was undertaken to determine the pattern of care, long-term survival outcomes, and prognostic factors for cervical cancer patients treated at a tertiary care cancer centre in North India.
Methods: Ten-year data was retrieved for 435 stage I-IVA carcinoma cervix patients treated between 2009 and 2019.
Heliyon
September 2024
Department of Gynecology, Shenzhen People's Hospital, 2nd Clinical Medical College of Jinan University, 1st Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518020, China.
Rationale And Objectives: To describe MRI characteristics of ureteral endometriosis (UE) in identifying intrinsic involvement of the ureteric wall and predicting complex procedures.
Methods: Thirty-three UE lesions in 30 patients treated for UE over a 20-year period were reviewed. A systematic analysis of 13 MRI (ureteric wall thickening, circumference, T1 signal, T2 signal, ureterectasis, lateral parametrial endometriosis (LPE), rectal endometriosis, the foregoing three-characteristic diameter, ovarian endometriomas, adenomyosis, paraurethral endometriosis) and 5 clinical (age, BMI, CA125, creatinine and rAFS stage) characteristics was performed.
BMC Med Imaging
September 2024
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
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