Microcalcifications, which are deposits of calcium in breast tissue, are found in approximately one-third of all malignant breast lesions detected during screening mammography [1]. They are commonly associated with ductal carcinoma in situ (DCIS) and invasive carcinomas, with 90% of non-palpable DCIS cases and 20% of minimal infiltrating carcinomas diagnosed based solely on calcifications [2]. Beyond early detection, the presence of calcifications is more often associated with poorer prognostic …
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Spectral CT-derived extracellular volume fraction for pathological characterization and noninvasive T staging in colon cancer
To investigate the association between the extracellular volume fraction (ECV) quantified by spectral CT and multiparameter pathological features (Ki-67, mismatch repair status, WHO Grade, Perineural/Lymphovascular Invasion, pT/pN Stage) in colon cancer, and to develop a noninvasive preoperative prediction model for any indicator showing a significant association.
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Interobserver variability of recall decisions between mammography readers in the English NHS breast screening programme: A comparison of interobserver variability measures
To evaluate interobserver variability between mammogram readers’ recall decisions in the English NHS breast screening programme, comparing different variability measures.
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Mri-based diagnostic model integrating clinical features for placenta accreta spectrum in non-previa placenta
In recent years, the number of deliveries associated with assisted reproductive technology (ART) has increased worldwide. Among these, frozen embryo transfer (FET) has been reported as a risk factor for placenta accreta spectrum (PAS) [1–3]. Moreover, PAS associated with in vitro fertilization, including FET, tends to occur more frequently in non-previa placenta. Compared with PAS in placenta previa, these non-previa cases show significantly lower rates of antenatal diagnosis [1], suggesting per…
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Clinical-Radiomics hybrid prediction of the Risks of pedicle screw loosening after posterior lumbar fusion
We aimed to construct a risk prediction model for PSL after posterior lumbar fusion using machine learning and radiomic methods.
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Diagnostic performance of iodine map for differentiating colorectal cancer from benign colorectal wall thickening
Colorectal cancer (CRC) represents the third most prevalent cancer and the second leading cause of cancer-related mortality [1]. Diagnosis is usually established through colonoscopy, fecal occult blood test, or virtual colonoscopy, either in the presence of symptoms or within the context of screening programs. However, occasionally, CRCs are detected incidentally on computed tomography (CT) scans performed for unrelated clinical indications. CT-detected colorectal wall thickening raises suspicio…
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Uterine artery embolization versus dienogest for symptomatic adenomyosis: A randomized controlled trial of short-term efficacy
Adenomyosis is a benign gynecological condition characterized by ectopic endometrial glands and stroma within the myometrium, manifesting clinically with dysmenorrhea, menorrhagia, chronic pelvic pain, and infertility [1]. Affecting approximately 20–35% of women aged 35–50 years, it significantly impairs quality of life [2]. The condition presents a spectrum of MRI findings, ranging from increased junctional zone thickness to focal or diffuse lesions [3]. While hysterectomy provides definitive t…
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Ultrasound dactylitis predicts bone erosion in early psoriatic arthritis: A longitudinal cohort study
Psoriatic arthritis (PsA) is a chronic progressive disease in which bone erosion is recognized as a hallmark destructive feature. Its exact prevalence is unknown, but estimates vary from 0.3 % to 1 % of the population. Previous studies have demonstrated that approximately 47 % of patients exhibit erosions within 2 years of diagnosis [1]. 87.6 % of PsA patients develop bone erosions within a decade of initial diagnosis, with a mean onset time of 6.8 ± 6.1 years [2]. The presence of bone erosions …
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Prognostic value of functional MRI and liver function synergy in hepatocellular carcinoma patients receiving combined locoregional-systemic therapy: A multicenter scoring model
To develop and validate a prognostic model integrating pretreatment MRI features and clinical characteristics for hepatocellular carcinoma (HCC) patients undergoing transarterial chemoembolization (TACE) and hepatic arterial infusion chemotherapy (HAIC) combined targeted immunotherapy (TII). A weighted scoring system was developed to improve the model’s clinical utility.