Literature DB >> 34918547

The quantitative impact of joint peer review with a specialist radiologist in head and neck cancer radiotherapy planning.

Kevin Chiu1, Peter Hoskin2, Amit Gupta1, Roeum Butt2, Samsara Terparia2, Louise Codd2, Yatman Tsang2, Jyotsna Bhudia1, Helen Killen1, Clare Kane1, Subhadip Ghoshray3, Catherine Lemon1, Daniel Megias2.   

Abstract

OBJECTIVES: Radiologist input in peer review of head and neck radiotherapy has been introduced as a routine departmental approach. The aim was to evaluate this practice and to quantitatively analyse the changes made.
METHODS: Patients treated with radical-dose radiotherapy between August and November 2020 were reviewed. The incidence of major and minor changes, as defined by The Royal College of Radiologists guidance, was prospectively recorded. The amended radiotherapy volumes were compared with the original volumes using Jaccard Index (JI) to assess conformity; Geographical Miss Index (GMI) for undercontouring; and Hausdorff Distance (HD) between the volumes.
RESULTS: In total, 73 out of 87 (84%) patients were discussed. Changes were recommended in 38 (52%) patients: 30 had ≥1 major change, eight had minor changes only. There were 99 amended volumes: The overall median JI, GMI and HD was 0.91 (interquartile range [IQR]=0.80-0.97), 0.06 (IQR = 0.02-0.18) and 0.42 cm (IQR = 0.20-1.17 cm), respectively. The nodal gross-tumour-volume (GTVn) and therapeutic high-dose nodal clinical-target-volume (CTVn) had the biggest magnitude of changes: The median JI, GMI and HD of GTVn was 0.89 (IQR = 0.44-0.95), 0.11 (IQR = 0.05-0.51), 3.71 cm (IQR = 0.31-6.93 cm); high-dose CTVn was 0.78 (IQR = 0.59-0.90), 0.20 (IQR = 0.07-0.31) and 3.28 cm (IQR = 1.22-6.18 cm), respectively. There was no observed difference in the quantitative indices of the 85 'major' and 14 'minor' volumes (p = 0.5).
CONCLUSIONS: Routine head and neck radiologist input in radiotherapy peer review is feasible and can help avoid gross error in contouring. ADVANCES IN KNOWLEDGE: The major and minor classifications may benefit from differentiation with quantitative indices but requires correlation from clinical outcomes.

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Year:  2021        PMID: 34918547      PMCID: PMC8822559          DOI: 10.1259/bjr.20211219

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  38 in total

1.  CERR: a computational environment for radiotherapy research.

Authors:  Joseph O Deasy; Angel I Blanco; Vanessa H Clark
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2.  Delineation of the primary tumour Clinical Target Volumes (CTV-P) in laryngeal, hypopharyngeal, oropharyngeal and oral cavity squamous cell carcinoma: AIRO, CACA, DAHANCA, EORTC, GEORCC, GORTEC, HKNPCSG, HNCIG, IAG-KHT, LPRHHT, NCIC CTG, NCRI, NRG Oncology, PHNS, SBRT, SOMERA, SRO, SSHNO, TROG consensus guidelines.

Authors:  Vincent Grégoire; Mererid Evans; Quynh-Thu Le; Jean Bourhis; Volker Budach; Amy Chen; Abraham Eisbruch; Mei Feng; Jordi Giralt; Tejpal Gupta; Marc Hamoir; Juliana K Helito; Chaosu Hu; Keith Hunter; Jorgen Johansen; Johannes Kaanders; Sarbani Ghosh Laskar; Anne Lee; Philippe Maingon; Antti Mäkitie; Francesco Micciche'; Piero Nicolai; Brian O'Sullivan; Adela Poitevin; Sandro Porceddu; Krzysztof Składowski; Silke Tribius; John Waldron; Joseph Wee; Min Yao; Sue S Yom; Frank Zimmermann; Cai Grau
Journal:  Radiother Oncol       Date:  2017-11-24       Impact factor: 6.280

3.  A conformation number to quantify the degree of conformality in brachytherapy and external beam irradiation: application to the prostate.

Authors:  A van't Riet; A C Mak; M A Moerland; L H Elders; W van der Zee
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Review 4.  Radiotherapy protocol deviations and clinical outcomes: a meta-analysis of cooperative group clinical trials.

Authors:  Nitin Ohri; Xinglei Shen; Adam P Dicker; Laura A Doyle; Amy S Harrison; Timothy N Showalter
Journal:  J Natl Cancer Inst       Date:  2013-03-06       Impact factor: 13.506

5.  Reinterpretation of cross-sectional images in patients with head and neck cancer in the setting of a multidisciplinary cancer center.

Authors:  Laurie A Loevner; Adina I Sonners; Brian J Schulman; Kerstin Slawek; Randal S Weber; David I Rosenthal; Gul Moonis; Ara A Chalian
Journal:  AJNR Am J Neuroradiol       Date:  2002 Nov-Dec       Impact factor: 3.825

Review 6.  Functional Imaging to Predict Treatment Response in Head and Neck Cancer: How Close are We to Biologically Adaptive Radiotherapy?

Authors:  C Paterson; S Hargreaves; C N Rumley
Journal:  Clin Oncol (R Coll Radiol)       Date:  2020-10-27       Impact factor: 4.126

Review 7.  Evaluation of cervical lymph nodes in head and neck cancer with CT and MRI: tips, traps, and a systematic approach.

Authors:  Jenny K Hoang; Jyotsna Vanka; Benjamin J Ludwig; Christine M Glastonbury
Journal:  AJR Am J Roentgenol       Date:  2013-01       Impact factor: 3.959

8.  The Potential Impact and Usability of the Eighth Edition TNM Staging Classification in Oral Cavity Cancer.

Authors:  K Chiu; A Hosni; S H Huang; L Tong; W Xu; L Lu; A Bayley; S Bratman; J Cho; M Giuliani; J Kim; J Ringash; J Waldron; A Spreafico; J Irish; R Gilbert; P Gullane; D Goldstein; B O'Sullivan; A Hope
Journal:  Clin Oncol (R Coll Radiol)       Date:  2021-07-11       Impact factor: 4.126

9.  Assessment of contour variability in target volumes and organs at risk in lung cancer radiotherapy.

Authors:  Yatman Tsang; Peter Hoskin; Emiliano Spezi; David Landau; Jason Lester; Elizabeth Miles; John Conibear
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2019-06-22
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