Hi everyone, I am trying my luck here to see if I can look into my cancer diagnosis from the a different perspective and perhaps AI might aid me? My history: Apr 2024: Diagnosed with gastric leiomyosarcoma (LMS), approximately 9.5 cm in the upper stomach. Had a total gastrectomy followed by 6 cycles of adjuvant doxorubicin + dacarbazine. Nov 2024: Surveillance scan showed a ~6 cm cyst in the liver. Surgery was performed and it turned out to be metastatic LMS. Late 2024–early 2025: I was in and out of hospital several times because of infections. Mar 2025: Started trabectedin as systemic/adjuvant treatment. Mar 2026: Two new liver tumours appeared, approximately 1.3 cm and 2.4 cm. The smaller lesion was ablated and the larger one was surgically removed. My oncologist recommended Votrient (pazopanib) to help control the disease, but I declined at that time. May 2026: Surveillance scan showed a new ~2 cm lesion/area at the edge of the liver. Aug 2026: This lesion had grown rapidly to 13.8 cm. It was found to be recurrent abdominal LMS, and I underwent surgery involving removal of the tumour, a wedge of liver, and a cuff of diaphragm. This round,I have also had tumour/genomic testing, including CDx/RNa and ex vivo drug testing. Ex vivo drug testing returned and the tumor isnt chemo sensitive. Most people told me that LMS has no targetable mutation. At the moment, I am considered NED after surgery, but my doctors are concerned about how quickly the tumour has been growing and have recommended systemic treatment such as Votrient or gemcitabine/docetaxel (Gem/Tax). TIA! submitted by /u/Lostinthisworlddd
Originally posted by u/Lostinthisworlddd on r/ArtificialInteligence