Purpose: Radiomic models have been demonstrated to have acceptable discrimination capability for detecting lymph node metastasis (LNM). We aimed to develop a computed tomography-based radiomic model and validate its usefulness in the prediction of normal-sized LNM at node level in cervical cancer.
Methods: A total of 273 LNs of 219 patients from 10 centers were evaluated in this study.
Objective: To determine the associations between the presence and depth of uterine corpus invasion and survival in patients with cervical cancer.
Methods: Clinical data of patients with stage IA2-IIB cervical cancer who underwent radical hysterectomy between 2004 and 2016 were retrospectively reviewed. Uterine corpus invasion was identified from a review of uterine pathology.
To investigate whether pre-treatment CT-derived radiomic features could be applied for prediction of clinical response to neoadjuvant chemotherapy (NACT) in locally advanced cervical cancer (LACC). Two hundred and seventy-seven LACC patients treated with NACT followed by surgery/radiotherapy were included in this multi-institution retrospective study. One thousand and ninety-four radiomic features were extracted from venous contrast enhanced and non-enhanced CT imaging for each patient.
View Article and Find Full Text PDFObjective: To build and validate a CT radiomic model for pre-operatively predicting lymph node metastasis in early cervical carcinoma.
Methods And Materials: A data set of 150 patients with Stage IB1 to IIA2 cervical carcinoma was retrospectively collected from the Nanfang hospital and separated into a training cohort ( = 104) and test cohort ( = 46). A total of 348 radiomic features were extracted from the delay phase of CT images.
Objective: To present the distribution of neurovascular and lymphatic vessels in uterine ligaments using 3D models based on the pathological staining of serial 2D sections of postoperative specimens.
Methods: Serial transverse sections of fresh uterine ligaments from a patient with stage IB1 cervical squamous cell carcinoma were studied using the computer-assisted anatomic dissection (CAAD) technique. The sections were stained with hematoxylin and eosin, Weigert elastic fibers, D2-40 and immunostainings (sheep anti-tyrosine hydroxylase and rabbit anti-vasoactive intestinal peptide).