Many MRI exams for soft tissue sarcomas fail to meet recommended guidelines, affecting grading accuracy and clinical outcomes. Only 2 out of 64 patients received a complete set of ...

LP-284 targets DNA repair defects in cancers, showing promise in preclinical and early clinical trials across multiple cancer types. The FDA's orphan drug designation supports LP-284's development for ...

Only one retroperitoneal sarcoma (RPS) patient out of 22 achieved meaningful tumor shrinkage with pre-surgical radiation, while over 75% of the sample saw no significant change and 18% experienced ...

To convert the values for bilirubin to micromoles per liter, multiply by 17.1. To convert the values for lactic acid to milligrams per deciliter, divide by 0.1110. To convert the values for urea ...

Written informed consent was obtained from the patient to write the manuscript and use their images. It was ensured that their identity would not be revealed at any point, either in the text or in the ...

Sarcomas are tumors that form in the body’s connective tissues such as bone, muscle and fat. They are rare and, because there are more than 150 types, patients benefit from seeing a sarcoma specialist ...

It was a moment of quiet strength. Sitting tall in the open carriage at Trooping the Colour on June 14, Kate Middleton smiled at the thousands lining the Mall. She didn’t say a word, but the message ...

Fragmented care — receiving medical treatment at more than one facility — has been associated with both positive and negative outcomes for cancer patients depending on a number of factors such as ...

Fragmented care - receiving medical treatment at more than one facility - has been associated with both positive and negative outcomes for cancer patients depending on a number of factors such as ...

Liposarcoma, a rare malignancy accounting for 1% of all cancers, constitutes 9.8–16% of soft tissue sarcomas. The retroperitoneum and extremities are primary sites of occurrence. Retroperitoneal ...

Radiologists are beginning to use AI-based computer vision models to help speed up the laborious process of parsing medical scans. However, these models require large amounts of carefully labeled ...