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Neoadjuvant radiochemotherapy in patients with high-risk locally advanced cervical cancer-results of a clinical series.
Strahlenther Onkol
January 2025
Klinik für Strahlentherapie und Radioonkologie, Universitätsmedizin Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Purpose: Neoadjuvant radiochemotherapy (NARCT) is an established standard of care in various tumor entities, promoting high response rates at commonly lower toxicities as compared to adjuvant approaches. This retrospective analysis was designed to investigate NARCT in early-stage high-risk cervical cancer.
Methods: Forty patients with early-stage high-risk cervical cancer (i.
[F]PSMA-1007 PET for biochemical recurrence of prostate cancer, a comparison with [F]Fluciclovine.
EJNMMI Rep
November 2024
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
Aim: The objective of this study was to compare the detection rates of [F]PSMA-1007 and [F]Fluciclovine in early biochemical recurrence (BCR) of prostate cancer, i.e. with low prostate-specific antigen (PSA) levels (0.
View Article and Find Full Text PDFEffectiveness of artificial intelligence assisted colonoscopy on adenoma and polyp miss rate: A meta-analysis of tandem RCTs.
Dig Liver Dis
January 2025
Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy; Endoscopy Unit, Humanitas Clinical and Research Hospital, IRCCS, Rozzano, Italy.
Background And Aims: One-fourth of colorectal neoplasia is missed at screening colonoscopy, representing the leading cause of interval colorectal cancer (I-CRC). This systematic review and meta-analysis summarizes the efficacy of computer-aided colonoscopy (CAC) compared to white-light colonoscopy (WLC) in reducing lesion miss rates.
Methods: Major databases were systematically searched through May 2024 for tandem-design RCTs comparing lesion miss rates in CAC-first followed by WLC vs WLC-first followed by CAC.
Fusion of shallow and deep features from F-FDG PET/CT for predicting EGFR-sensitizing mutations in non-small cell lung cancer.
Quant Imaging Med Surg
August 2024
Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Article Synopsis
- - This study investigates how deep-learning technology and radiomics can better predict EGFR-sensitizing mutations in non-small cell lung cancer (NSCLC) patients, as these mutations are important for effective treatment with tyrosine kinase inhibitors (TKIs).
- - A total of 202 NSCLC patients were analyzed using advanced imaging techniques (F-FDG PET/CT scans) and a combination of machine learning methods to extract features that can indicate mutation status.
- - The results showed that using both deep and shallow features led to a higher predictive accuracy (AUC of 0.94) compared to shallow features alone, demonstrating that deep learning models and PET/CT imaging significantly improve detection of important mutations.
Metastatic lymph nodes of occult breast cancer show very low internal echoes.
Radiol Case Rep
October 2024
Department of Surgery, Kishiwada Tokushukai Hospital, 4-27-1, Kamori-cho, Kishiwada-city, Osaka 596-8522, Japan.
A 62-year-old woman showed an elevation of carcinoembryonic antigen (CEA) level 15 years after the left breast cancer, i.e., tubule forming type luminal micro invasive cancer, operation.
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