Neuroendocrine tumors (NETs) are rare tumors that originate from neuroendocrine cells and commonly arise from the gastrointestinal and pulmonary system, with increasing incidence over the past decades [1]. While the course of NETs is generally indolent, high-grade neuroendocrine carcinomas can be aggressive with poor outcomes, and NETs can present with debilitating symptoms, including diarrhea, fatigue and flushing [2]. Vague symptomatology of NETs often leads to late diagnoses with many patient…
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Brain-tumor interface-based MRI radiomics models to predict Ki-67 proliferation status of meningiomas: A multi-center study
Meningiomas are the most frequently occurring primary tumors within the central nervous system [1], and their biological diversity results in significant differences in treatment strategies and prognosis. Ki-67, a nuclear protein, is actively expressed during cell cycle phases such as G1, S, G2, and M, representing active cell division. During these phases, Ki-67 levels gradually increase, reflecting active cell proliferation, whereas it remains absent in the quiescent G0 phase. In meningiomas, …
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Timing of MRI for early treatment response prediction of chemoradiotherapy in uterine cervical cancer
Uterine cervical cancer (UCC) remains the 4th most common cancer in women worldwide, in 2020 corresponding to 6,5% of 9.2 million cancer patients, responsible for 7,7% of 4.4 million deaths [1]. UCC is the leading cause of cancer related death in 36 developing countries. In 2019, there were 568 new UCC patients in Sweden, about 1,5% of all cancer in women, and in the last decade approximately 140 deaths yearly [2].
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AI Beats Radiologists in Detecting Pancreatic Cancer on Routine CT Scans
(MedPage Today) — An artificial intelligence (AI) system outperformed radiologists in detecting pancreatic ductal adenocarcinoma (PDAC) on routine CT scans, according to a non-inferiority, confirmatory, observational study.
In a testing cohort… -
Intramammary benign vascular proliferative lesions on MRI during neoadjuvant chemoimmunotherapy with camrelizumab in TNBC patients
Triple-negative breast cancer (TNBC), defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression, represents a heterogeneous and aggressive breast cancer (BC) subtype associated with a high recurrence risk [1]. Accounting for approximately 8 %–13 % of all breast cancers, TNBC demonstrates the poorest prognosis among molecular subtypes and has limited effective treatment options [2]. Neoadjuvant chemotherapy (NAC) i…
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Voices of the future: insights from a survey on radiology training experiences and needs
Radiology residency training in Italy is structured as a comprehensive four-year program aimed at cultivating both clinical proficiency and scientific acumen among future radiologists. In Italy, radiology residency programs are regulated by University teaching regulations (Law 341/1990, art. 11), which establish the framework for professional and non-professional training. Residents are expected to acquire comprehensive knowledge of radiological diagnostic modalities and to develop competence in…
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Sacroiliac CT images based deep convolutional neural network for grading patients with axial spondyloarthritis: A multi-reader multi-center study
Axial spondyloarthritis (axSpA) is a chronic inflammatory disease disorder that predominantly involves the axial skeleton, with sacroiliitis as a key diagnostic feature. The presence of radiographic sacroiliac joint (SIJ) damage is crucial in differentiating non-radiographic axSpA (nr-axSpA) from radiographic axSpA (r-axSpA) [1–4]. Sacroiliac arthritis is classified into five radiographic Grades, and achievement of Grade II and above (presence of radiologic injury) is necessary for the diagnosis…
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Knowledge-guided gadolinium-free MRI radiomics predict 1p/19q co-deletion in IDH-mutant adult-type diffuse gliomas: A dual-center study
The 1p/19q status is a critical molecular marker for subclassifying isocitrate dehydrogenase(IDH)-mutant adult diffuse gliomas and plays a pivotal role in prognostication and therapeutic decision-making [1–3]. However, pathology-based determination is inherently delayed, failing to provide timely guidance prior to invasive diagnostic procedures.