Background: Sentinel lymph node (SLN)-positive melanoma patients are a heterogeneous group of patients with survival rates ranging from ∼20 to over 80%. No data are reported concerning the role of histological regression on survival in stage III melanoma.
Methods: The study included 365 patients with positive SLN from two distinct hospitals. The model was developed on patients from 'AOU Città della Salute e della Scienza di Torino', and externally validated on patients from IRCCS of Candiolo. Survival analyses were carried out according to the presence of regression and adjusted for all other prognostic factors.
Results: Among patients followed at 'AOU Città della Salute e della Scienza di Torino' (n=264), the median follow-up time to death or censoring (whatever two events occurred earlier) was 2.7 years since diagnosis (interquartile range: 1.3-5.8). In all, 79 patients died from melanoma and 11 from other causes. Histological regression (n=43) was associated with a better prognosis (sub-HR=0.34, CI 0.12-0.92), whereas the other factors above showed an inverse association. In the external validation, the concordance index was 0.97 at 1 year and decreased to 0.66 at 3 years and to 0.59 at 5 years. Adding histological regression in the prognostic model increased the discriminative ability to 0.75 at 3 years and to 0.62 at 5 years. Finally, using a cutoff of 20% for the risk of death led to a net re-classification improvement of 15 and 11% at 3 and 5 years after diagnosis, respectively.
Conclusions: Histological regression could lead to an improvement in prognostic prediction in patients with stage III-positive SLN melanoma.
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http://dx.doi.org/10.1038/bjc.2017.397 | DOI Listing |
Introduction: A recent scoping review identified histological chorioamnionitis (HCA), small for gestational age (SGA), and bubbly/cystic appearance on chest X-ray (bubbly/cystic CXR) as risk factors for severe bronchopulmonary dysplasia (BPD). To further validate these results, a large-scale database was analyzed.
Methods: This retrospective multicenter cohort study included infants born at <28 weeks' gestational age between 2003 and 2016.
PLoS One
January 2025
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Introduction: Benign and malignant myxoid soft tissue tumors have shared clinical, imaging, and histologic features that can make diagnosis challenging. The purpose of this study is comparison of the diagnostic performance of a radiomic based machine learning (ML) model to musculoskeletal radiologists.
Methods: Manual segmentation of 90 myxoid soft tissue tumors (45 myxomas and 45 myxofibrosarcomas) was performed on axial T1, and T2FS or STIR magnetic resonance imaging sequences.
J Orthop
July 2025
Head of School, Sepsis, and Limb Reconstruction, Nelson Mandela School of Clinical Medicine, College of Health Sciences, University of KwaZulu-Natal, 719 Umbilo Road, 4001, Durban, South Africa.
Background: Disease progression (DP) of osteosarcomas, albeit with aggressive treatments, hinders improving survival. The DP patterns are unique in low- and middle-income countries like South Africa. We determine the prognostic factors associated with disease progression (DP) of the appendicular skeleton's central high-grade conventional osteosarcoma (COS).
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Department of Ultrasound Diagnosis, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Objectives: This study aims to develop a nomogram to predict high-volume (> 5) lymph node metastases (HVLNM) in papillary thyroid carcinoma concomitant with Hashimoto's thyroiditis by combining ultrasound with clinicopathologic data.
Materials And Methods: The study reviewed 187 patients diagnosed with papillary thyroid cancer (PTC) concomitant with Hashimoto's thyroiditis from the First People's Hospital of Kunshan between March 2018 and December 2022. These patients underwent preoperative ultrasound and postoperative examinations.
PeerJ
January 2025
Departments of Clinical Pathology, The Second Affiliated Hospital of Medical College of Zhejiang University, Hangzhou, Zhejiang, China.
Objective: Breast cancer stands as the most prevalent form of cancer among women globally. This heterogeneous disease exhibits varying clinical behaviors. The stratification of breast cancer patients into risk groups, determined by their metastasis and survival outcomes, is pivotal for tailoring personalized treatments and therapeutic interventions.
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