Accurate outcome prediction after neo-adjuvant radio-chemotherapy for rectal cancer based on a TCP-based early regression index.

Adaptive radiotherapy Magnetic resonance imaging Modeling Rectal cancer Tumor control probability

Journal

Clinical and translational radiation oncology
ISSN: 2405-6308
Titre abrégé: Clin Transl Radiat Oncol
Pays: Ireland
ID NLM: 101713416

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 10 04 2019
revised: 01 07 2019
accepted: 01 07 2019
entrez: 24 7 2019
pubmed: 25 7 2019
medline: 25 7 2019
Statut: epublish

Résumé

An early tumor regression index (ERI Data of 65 patients treated with an early regression-guided adaptive boosting technique (ART) were available. Overall, loco-regional relapse-free and distant metastasis-free survival (OS, LRFS, DMFS) were considered. Patients received 41.4 Gy in 18 fractions (2.3 Gy/fr), including ART concomitant boost on the residual GTV during the last 6 fractions (3 Gy/fr, D At a median follow-up of 47 months, OS, LRFS and DMFS were 94%, 95% and 78%. Due to too few events, multivariable analyses focused on DMFS: the resulting CONV_model included pathological complete remission or clinical complete remission followed by surgery refusal (HR: 0.15, p = 0.07) and 5-FU dose >90% (HR: 0.29, p = 0.03) as best predictors, with AUC = 0.75. REGR_model included ERI ERI

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
An early tumor regression index (ERI
MATERIALS AND METHODS METHODS
Data of 65 patients treated with an early regression-guided adaptive boosting technique (ART) were available. Overall, loco-regional relapse-free and distant metastasis-free survival (OS, LRFS, DMFS) were considered. Patients received 41.4 Gy in 18 fractions (2.3 Gy/fr), including ART concomitant boost on the residual GTV during the last 6 fractions (3 Gy/fr, D
RESULTS RESULTS
At a median follow-up of 47 months, OS, LRFS and DMFS were 94%, 95% and 78%. Due to too few events, multivariable analyses focused on DMFS: the resulting CONV_model included pathological complete remission or clinical complete remission followed by surgery refusal (HR: 0.15, p = 0.07) and 5-FU dose >90% (HR: 0.29, p = 0.03) as best predictors, with AUC = 0.75. REGR_model included ERI
CONCLUSION CONCLUSIONS
ERI

Identifiants

pubmed: 31334366
doi: 10.1016/j.ctro.2019.07.001
pii: S2405-6308(19)30084-9
pmc: PMC6617292
doi:

Types de publication

Journal Article

Langues

eng

Pagination

12-16

Déclaration de conflit d'intérêts

None.

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Auteurs

Claudio Fiorino (C)

Medical Physics, San Raffaele Scientific Institute, Milano, Italy.

Paolo Passoni (P)

Radiotherapy, San Raffaele Scientific Institute, Milano, Italy.

Anna Palmisano (A)

Radiology, San Raffaele Scientific Institute, Milano, Italy.

Calogero Gumina (C)

Radiotherapy, San Raffaele Scientific Institute, Milano, Italy.

Giovanni M Cattaneo (GM)

Medical Physics, San Raffaele Scientific Institute, Milano, Italy.

Sara Broggi (S)

Medical Physics, San Raffaele Scientific Institute, Milano, Italy.

Alessandra Di Chiara (A)

Radiology, San Raffaele Scientific Institute, Milano, Italy.

Antonio Esposito (A)

Radiology, San Raffaele Scientific Institute, Milano, Italy.

Martina Mori (M)

Medical Physics, San Raffaele Scientific Institute, Milano, Italy.

Monica Ronzoni (M)

Oncology, San Raffaele Scientific Institute, Milano, Italy.

Riccardo Rosati (R)

Gastroenterology Surgery, San Raffaele Scientific Institute, Milano, Italy.

Najla Slim (N)

Radiotherapy, San Raffaele Scientific Institute, Milano, Italy.

Francesco De Cobelli (F)

Radiology, San Raffaele Scientific Institute, Milano, Italy.

Riccardo Calandrino (R)

Medical Physics, San Raffaele Scientific Institute, Milano, Italy.

Nadia G Di Muzio (NG)

Radiotherapy, San Raffaele Scientific Institute, Milano, Italy.

Classifications MeSH