LONDON (Reuters), Oct 19 - A schoolgirl cancer patient who was given a massive overdose of radiation has died. Lisa Norris, 16, died at her home in Ayrshire, Scotland, on Wednesday, surrounded by her family.
In January, she was given 17 overdoses of radiation therapy during treatment for a brain tumor, which left her with severe burns to the back of her neck and head. She had recently undergone treatment to remove fluid from her brain.
Her father Ken, 51, told the Daily Record newspaper: "She was determined not to give up her fight and she stayed fighting until the end. That's my Lisa. She was our inspiration. She kept us going in many ways."
Human error has been blamed for the overdoses during treatment at Beatson Oncology Centre in Glasgow but an investigation is continuing.
Sir John Arbuthnott, chairman of NHS Greater Glasgow and Clyde, which runs Beatson, said in a statement: "This is extremely sad news and I have written to the Norris family to convey my condolences on behalf of the whole organization, especially the staff who cared for her."
Lisa died after her brain tumor returned, but her father said he was convinced it was the overdoses that "did this, not the cancer", the Daily Record reported.
The youngster from Girvan was diagnosed with a brain tumor in October last year.
Last Updated: 2006-10-19 10:01:16 -0400 (Reuters Health)
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![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
