AIMC Topic: Neoplasm Invasiveness
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Deep learning-based accurate diagnosis and quantitative evaluation of microvascular invasion in hepatocellular carcinoma on whole-slide histopathology images.
Cancer medicine
Mar 1, 2024
BACKGROUND: Microvascular invasion (MVI) is an independent prognostic factor that is associated with early recurrence and poor survival after resection of hepatocellular carcinoma (HCC). However, the traditional pathology approach is relatively subje...
Detection of Muscularis propria Invasion in Urothelial Carcinoma Using Artificial Intelligence.
Technology in cancer research & treatment
Jan 1, 2024
Assessment of muscularis propria invasion is a crucial step in the management of urothelial carcinoma since it necessitates aggressive treatment. The diagnosis of muscle invasion is a challenging process for pathologists. Artificial intelligence is ...
[Progress in evaluating the risk of lymph node metastasis in early colorectal cancer].
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
May 25, 2023
Early colorectal cancers refer to invasive cancers that have infiltrated into the submucosa without invading muscularis propria, and approximately 10% of these patients have lymph node metastases that cannot be detected by conventional imaging. Accor...
Developments in the follow-up of nonmuscle invasive bladder cancer: what did we learn in the last 24 months: a critical review.
Current opinion in urology
May 1, 2020
PURPOSE OF REVIEW: Patients with nonmuscle invasive bladder cancer (NMIBC) have a high risk of recurrent tumors, even in spite of contemporary guideline recommended therapy. Follow-up recommendations are also clear (cystoscopy with cytology and upper...
Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer.
Clinical and translational gastroenterology
Oct 1, 2019
INTRODUCTION: Adverse histopathological status (AHS) decreases outcomes of gastric cancer (GC). With the lack of a single factor with great reliability to preoperatively predict AHS, we developed a computational approach by integrating large-scale im...
Neoplasm Recurrence, Local
Gastrectomy
Disease-Free Survival
Preoperative Period
Contrast Media
Neoplasm Invasiveness
Neoplasm Staging
Kaplan-Meier Estimate
Stomach
Reproducibility of Results
Stomach Neoplasms
Male
Middle Aged
Prevalence
Image Processing, Computer-Assisted
Follow-Up Studies
Prognosis
Retrospective Studies
Tomography, X-Ray Computed
Humans
Female
Machine Learning
Computer Simulation
Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study.
Medicine
Jun 1, 2019
To compare results for radiological prediction of pathological invasiveness in lung adenocarcinoma between radiologists and a deep learning (DL) system.Ninety patients (50 men, 40 women; mean age, 66 years; range, 40-88 years) who underwent pre-opera...
[Effects of long non-coding RNA RP1-90L14.1 on the biological behaviors of cancer prostate LNCaP cells and its regulating mechanisms].
Zhonghua nan ke xue = National journal of andrology
Mar 1, 2019
OBJECTIVE: To investigate the effects of long non-coding RNA RP1-90L14.1 on the proliferation, migration and invasion of prostate cancer LNCaP cells and the expressions of GRIN2A and BACE2.
[A Case of Laparoscopic Resection for Locally Advanced Primary Rectal Cancer after Neoadjuvant Chemotherapy].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2018
We treateda 70-year-oldfemale patient with locally advancedrectal cancer accompaniedby metastases to other organs. Three courses of S-1 plus oxaliplatin(SOX)therapy were administered as neoadjuvant chemotherapy(NAC), andthe cancer was subsequently tr...
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.
IEEE transactions on medical imaging
Feb 1, 2018
Tumor growth is associated with cell invasion and mass-effect, which are traditionally formulated by mathematical models, namely reaction-diffusion equations and biomechanics. Such models can be personalized based on clinical measurements to build th...
Potential Anticancer Activity of the Parasol Mushroom, Macrolepiota procera (Agaricomycetes), against the A549 Human Lung Cancer Cell Line.
International journal of medicinal mushrooms
Jan 1, 2018
Mushrooms comprise an unlimited source of active compounds that have beneficial health effects without known negative side effects and can potentially be used as important therapeutic products against cancer, which is the leading cause of death world...
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