Evidence map›Paper›PMID 37236896›Full record

ArticleAcademic radiology2023

AI-Based Isotherm Prediction for Focal Cryoablation of Prostate Cancer.

Pedro Moreira, Kemal Tuncali, Clare Tempany, Junichi Tokuda

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Academic radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Role of Computational Modelling in Enhancing Thermal Safety During Cardiac Ablation.Interdisciplinary cardiovascular and thoracic surgery · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pedro MoreiraBrigham and Women's Hospital, 75 Francis St, Boston, MA 22115 (P.M., K.T., C.T., J.T.); Harvard Medical School, 25 Shattuck St, Boston, MA 02115 (P.M., K.T., C.T., J.T.). Electronic address: plopesdafrotamoreira@bwh.harvard.edu.
Kemal TuncaliBrigham and Women's Hospital, 75 Francis St, Boston, MA 22115 (P.M., K.T., C.T., J.T.); Harvard Medical School, 25 Shattuck St, Boston, MA 02115 (P.M., K.T., C.T., J.T.).
Clare TempanyBrigham and Women's Hospital, 75 Francis St, Boston, MA 22115 (P.M., K.T., C.T., J.T.); Harvard Medical School, 25 Shattuck St, Boston, MA 02115 (P.M., K.T., C.T., J.T.).
Junichi TokudaBrigham and Women's Hospital, 75 Francis St, Boston, MA 22115 (P.M., K.T., C.T., J.T.); Harvard Medical School, 25 Shattuck St, Boston, MA 02115 (P.M., K.T., C.T., J.T.).

Funding

TRD 3 - Enabling Technologies for Intraprocedural GuidanceP41EB028741 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI Nobuhiko Hata, CLARE M TEMPANY · 2021 to 2026
$10.7M
Open Software Platform for Data-Driven Image-Guided Robotic InterventionsR01EB020667 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI DIAZ-MERCADO, YANCY, KRIEGER, AXEL · 2015 to 2024
$4.1M
Adaptive Percutaneous Prostate Interventions using Sensorized NeedleR01CA235134 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Nobuhiko Hata, IULIAN IOAN IORDACHITA · 2019 to 2026
$3.6M
Physician Assistance Technology in Image-guided Robotic Intervention of ProstateR01EB030539 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI HATA, NOBUHIKO, ZHANG, HAICHONG · 2021 to 2024
$2.7M
NCI NIH HHS R01 CA235134NIBIB NIH HHS P41 EB028741NIBIB NIH HHS R01 EB020667NIBIB NIH HHS R01 EB030539
6 · The paper itself

Abstract

RATIONALE AND

objectivesFocal therapies have emerged as minimally invasive alternatives for patients with localized low-risk prostate cancer (PCa) and those with postradiation recurrence. Among the available focal treatment methods for PCa, cryoablation offers several technical advantages, including the visibility of the boundaries of frozen tissue on the intraprocedural images, access to anterior lesions, and the proven ability to treat postradiation recurrence. However, predicting the final volume of the frozen tissue is challenging as it depends on several patient-specific factors, such as proximity to heat sources and thermal properties of the prostatic tissue. MATERIALS AND

methodsThis paper presents a convolutional neural network model based on 3D-Unet to predict the frozen isotherm boundaries (iceball) resultant from a given a cryo-needle placement. Intraprocedural magnetic resonance images acquired during 38 cases of focal cryoablation of PCa were retrospectively used to train and validate the model. The model accuracy was assessed and compared against a vendor-provided geometrical model, which is used as a guideline in routine procedures.

resultsThe mean Dice Similarity Coefficient using the proposed model was 0.79±0.08 (mean+SD) vs 0.72±0.06 using the geometrical model (P<.001).

conclusionThe model provided an accurate iceball boundary prediction in less than 0.4second and has proven its feasibility to be implemented in an intraprocedural planning algorithm.

Indexed as

CryosurgeryProstatic NeoplasmsAlgorithmsArtificial IntelligenceHumansMaleRetrospective StudiesFocal cryoablationFocal therapyIsotherm predictionProstate cancer

Identifiers

PMID37236896
PMCPMC10524864

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.