Български
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
OncoTargets and Therapy 2016

The value of intravoxel incoherent motion model-based diffusion-weighted imaging for outcome prediction in resin-based radioembolization of breast cancer liver metastases.

Само регистрирани потребители могат да превеждат статии
Вход / Регистрация
Линкът е запазен в клипборда
Claus Christian Pieper
Carsten Meyer
Alois Martin Sprinkart
Wolfgang Block
Hojjat Ahmadzadehfar
Hans Heinz Schild
Petra Mürtz
Guido Matthias Kukuk

Ключови думи

Резюме

OBJECTIVE

To evaluate prognostic values of clinical and diffusion-weighted magnetic resonance imaging-derived intravoxel incoherent motion (IVIM) parameters in patients undergoing primary radioembolization for metastatic breast cancer liver metastases.

METHODS

A total of 21 females (mean age 54 years, range 43-72 years) with liver-dominant metastatic breast cancer underwent standard liver magnetic resonance imaging (1.5 T, diffusion-weighted imaging with b-values of 0, 50, and 800 s/mm(2)) before and 4-6 weeks after radioembolization. The IVIM model-derived estimated diffusion coefficient D' and the perfusion fraction f' were evaluated by averaging the values of the two largest treated metastases in each patient. Kaplan-Meier and Cox regression analyses for overall survival (OS) were performed. Investigated parameters were changes in f'- and D'-values after therapy, age, sex, Eastern Cooperative Oncology Group (ECOG) status, grading of primary tumor, hepatic tumor burden, presence of extrahepatic disease, baseline bilirubin, previous bevacizumab therapy, early stasis during radioembolization, chemotherapy after radioembolization, repeated radioembolization and Response Evaluation Criteria in Solid Tumors (RECIST) response at 6-week follow-up.

RESULTS

Median OS after radioembolization was 6 (range 1.5-54.9) months. In patients with therapy-induced decreasing or stable f'-values, median OS was significantly longer than in those with increased f'-values (7.6 [range 2.6-54.9] vs 2.6 [range 1.5-17.4] months, P<0.0001). Longer median OS was also seen in patients with increased D'-values (6 [range 1.6-54.9] vs 2.8 [range 1.5-17.4] months, P=0.008). Patients with remission or stable disease (responders) according to RECIST survived longer than nonresponders (7.2 [range 2.6-54.9] vs 2.6 [range 1.5-17.4] months, P<0.0001). An ECOG status ≤1 resulted in longer median OS than >1 (7.6 [range 2.6-54.9] vs 1.7 [range 1.5-4.5] months, P<0.0001). Pretreatment IVIM parameters and the other clinical characteristics were not associated with OS. Classification by f'-value changes and ECOG status remained as independent predictors of OS on multivariate analysis, while RECIST response and D'-value changes did not predict survival.

CONCLUSIONS

Following radioembolization of breast cancer liver metastases, early changes in the IVIM model-derived perfusion fraction f' and baseline ECOG score were predictive of patient outcome, and may thus help to guide treatment strategy.

Присъединете се към нашата
страница във facebook

Най-пълната база данни за лечебни билки, подкрепена от науката

  • Работи на 55 езика
  • Билкови лекове, подкрепени от науката
  • Разпознаване на билки по изображение
  • Интерактивна GPS карта - маркирайте билките на място (очаквайте скоро)
  • Прочетете научни публикации, свързани с вашето търсене
  • Търсете лечебни билки по техните ефекти
  • Организирайте вашите интереси и бъдете в крак с научните статии, клиничните изследвания и патентите

Въведете симптом или болест и прочетете за билките, които биха могли да помогнат, напишете билка и вижте болестите и симптомите, срещу които се използва.
* Цялата информация се базира на публикувани научни изследвания

Google Play badgeApp Store badge